Sample records for multi-level variable neighborhood

  1. Neighborhood and weight-related health behaviors in the Look AHEAD (Action for Health in Diabetes) study.

    PubMed

    Gary-Webb, Tiffany L; Baptiste-Roberts, Kesha; Pham, Luu; Wesche-Thobaben, Jacqueline; Patricio, Jennifer; Pi-Sunyer, F Xavier; Brown, Arleen F; Jones, LaShanda; Brancati, Frederick L

    2010-06-04

    Previous studies have shown that neighborhood factors are associated with obesity, but few studies have evaluated the association with weight control behaviors. This study aims to conduct a multi-level analysis to examine the relationship between neighborhood SES and weight-related health behaviors. In this ancillary study to Look AHEAD (Action for Health in Diabetes) a trial of long-term weight loss among individuals with type 2 diabetes, individual-level data on 1219 participants from 4 clinic sites at baseline were linked to neighborhood-level data at the tract level from the 2000 US Census and other databases. Neighborhood variables included SES (% living below the federal poverty level) and the availability of food stores, convenience stores, and restaurants. Dependent variables included BMI, eating patterns, weight control behaviors and resource use related to food and physical activity. Multi-level models were used to account for individual-level SES and potential confounders. The availability of restaurants was related to several eating and weight control behaviors. Compared to their counterparts in neighborhoods with fewer restaurants, participants in neighborhoods with more restaurants were more likely to eat breakfast (prevalence Ratio [PR] 1.29 95% CI: 1.01-1.62) and lunch (PR = 1.19, 1.04-1.36) at non-fast food restaurants. They were less likely to be attempting weight loss (OR = 0.93, 0.89-0.97) but more likely to engage in weight control behaviors for food and physical activity, respectively, than those who lived in neighborhoods with fewer restaurants. In contrast, neighborhood SES had little association with weight control behaviors. In this selected group of weight loss trial participants, restaurant availability was associated with some weight control practices, but neighborhood SES was not. Future studies should give attention to other populations and to evaluating various aspects of the physical and social environment with weight control practices.

  2. Interactions between neighborhood characteristics and individual functional status in relation to disability among Québec urbanites.

    PubMed

    Philibert, Mathieu D; Pampalon, Robert; Hamel, Denis; Daniel, Mark

    2013-10-01

    Disability is conceived as a person-context interaction. Neighborhoods are among the contexts potentially influencing disability. It is thus expected that neighborhood characteristics will be associated with disability prevalence and that such associations will be moderated by individual-level functional status. Empirical research targeting the influences of features of urban environments is relatively rare. To evaluate the presence of contextual differences in disability prevalence and to assess the moderating role of individual functional status on the association between neighborhood characteristics and disability prevalence. Multi-level analyses of individual-level data obtained from the Canadian Community Health Survey and neighborhood-level data derived from the Canada census. A contextual component was observed in the variability of disability prevalence. Significant neighborhood-level differences in disability were found across levels of social deprivation. Evidence of person-place interaction was equivocal. The contextual component of the variability in disability prevalence offers potential for targeting interventions to neighborhoods. The pathway by which social structure is associated with disability prevalence requires further research. Analyses of particular functional limitations may enhance our understanding of the mechanisms by which socioenvironmental factors affect disability. Publicly available survey data on disability in the general Canadian population, while useful, has limitations with respect to estimating socioenvironmental correlates of disability and potential person-place interactions. Copyright © 2013 Elsevier Inc. All rights reserved.

  3. The neighborhood environment and obesity: Understanding variation by race/ethnicity.

    PubMed

    Wong, Michelle S; Chan, Kitty S; Jones-Smith, Jessica C; Colantuoni, Elizabeth; Thorpe, Roland J; Bleich, Sara N

    2018-06-01

    Neighborhood characteristics have been associated with obesity, but less is known whether relationships vary by race/ethnicity. This study examined the relationship between soda consumption - a behavior strongly associated with obesity - and weight status with neighborhood sociodemographic, social, and built environments by race/ethnicity. We merged data on adults from the 2011-2013 California Health Interview Survey, U.S. Census data, and InfoUSA (n=62,396). Dependent variables were soda consumption and weight status outcomes (body mass index and obesity status). Main independent variables were measures of three neighborhood environments: social (social cohesion and safety), sociodemographic (neighborhood socioeconomic status, educational attainment, percent Asian, percent Hispanic, and percent black), and built environments (number of grocery stores, convenience stores, fast food restaurants, and gyms in neighborhood). We fit multi-level linear and logistic regression models, stratified by individual race/ethnicity (NH (non-Hispanic) Whites, NH African Americans, Hispanics, and NH Asians) controlling for individual-level characteristics, to estimate neighborhood contextual effects on study outcomes. Lower neighborhood educational attainment was associated with higher odds of obesity and soda consumption in all racial/ethnic groups. We found fewer associations between study outcomes and the neighborhood, especially the built environment, among NH African Americans and NH Asians. While improvements to neighborhood environment may be promising to reduce obesity, null associations among minority subgroups suggest that changes, particularly to the built environment, may alone be insufficient to address obesity in these groups. Published by Elsevier Inc.

  4. Association between perceived urban built environment attributes and leisure-time physical activity among adults in Hangzhou, China.

    PubMed

    Su, Meng; Tan, Ya-Yun; Liu, Qing-Min; Ren, Yan-Jun; Kawachi, Ichiro; Li, Li-Ming; Lv, Jun

    2014-09-01

    Neighborhood built environment may influence residents' physical activity, which in turn, affects their health. This study aimed to determine the associations between perceived built environment and leisure-time physical activity in Hangzhou, China. 1440 participants aged 25-59 were randomly selected from 30 neighborhoods in three types of administrative planning units in Hangzhou. International Physical Activity Questionnaire long form and NEWS-A were used to obtain individual-level data. The China Urban Built Environment Scan Tool was used to objectively assess the neighborhood-level built environment. Multi-level regression was used to explore the relationship between perceived built environment variables and leisure-time physical activities. Data was collected in Hangzhou from June to December in 2012, and was analyzed in May 2013. Significant difference between neighborhood random variations in physical activity was identified (P=0.0134); neighborhood-level differences accounted for 3.0% of the variability in leisure-time physical activity. Male residents who perceived higher scores on access to physical activity destinations reported more involvement in leisure-time physical activity. Higher scores on perception of esthetic quality, and lower on residential density were associated with more time in leisure-time walking in women. The present study demonstrated that perceived urban built environment attributes significantly correlate with leisure-time physical activity in Hangzhou, China. Copyright © 2014. Published by Elsevier Inc.

  5. Neighborhood-Level Correlates of Consistent Condom Use among Men Who have Sex with Men: A Multi-Level Analysis

    PubMed Central

    Koblin, Beryl; Chin, John; Beard, John; Blaney, Shannon; Halkitis, Perry; Vlahov, David; Galea, Sandro

    2014-01-01

    There is growing evidence that the neighborhood environment influences sexual behavior and related outcomes, but little work has focused specifically on men who have sex with men (MSM). Using interview data from a probability sample of 385 young MSM living in New York City, recruited at public venues in 1999 and 2000 as part of the Young Men’s Survey-New York City, and data on neighborhood characteristics obtained from the U.S. Census 2000, we conducted multi-level analyses of the associations between neighborhood-level characteristics and consistent condom use during anal intercourse, while controlling for individual-level sociodemographic and other factors. After adjusting for individual-level factors, neighborhood-level gay presence remained significantly and positively associated with consistent condom use during anal intercourse. This finding suggests that neighborhoods with a significant gay presence may have norms that act to discourage high risk sexual activity. PMID:18712593

  6. Direct and indirect effects of neighborhood characteristics on the perpetration of dating violence across adolescence.

    PubMed

    Chang, Ling-Yin; Foshee, Vangie A; Reyes, Heathe Luz McNaughton; Ennett, Susan T; Halpern, Carolyn T

    2015-03-01

    Neighborhood context plays a role in the development of adolescent health risk behaviors, but few studies have investigated the influence of neighborhoods on the perpetration of dating violence. This longitudinal study examined the direct effects of risky neighborhood structural and physical characteristics on trajectories of the perpetration of dating violence, tested whether collective efficacy mediated these relationships, and determined if the effects varied by the sex of the adolescent. Adolescent data are from a multi-wave longitudinal study from grades 8 to 12; neighborhood data were collected from parents' interviews and U.S. Census data. Multilevel growth curve models were conducted with 3,218 students; the sample was 50% male, 41% White, 50% Black, and 9% other race/ethnicity. In models examining risky neighborhood variables one at a time, and controlling for potential individual-level confounders, the sex of the adolescent interacted with economic disadvantage, residential instability, and physical disorder; these risky neighborhood characteristics increased risk for girls' but not boys' perpetrating of dating violence. In full models with all of the risky neighborhood variables, the sex of the adolescent continued to interact with neighborhood economic disadvantage; living in economically disadvantaged neighborhoods increased girls' but not boys' risk for dating violence across all ages. No other risky neighborhood effects were found for boys or girls. Collective efficacy did not mediate the relationships between other neighborhood characteristics and the outcome. These findings suggest that dating violence prevention strategies for girls should consider the contexts in which they live rather than only targeting changes in their individual characteristics.

  7. Housing environment and mental health outcomes: A levels of analysis perspective

    PubMed Central

    Wright, Patricia Ann; Kloos, Bret

    2008-01-01

    This study examines the effects of perceived housing environment on selected well-being outcomes of a seriously mentally ill population in supported housing programs. Individuals live independently in their own apartments and use supportive mental health services as needed. The study conceptualizes one’s housing environment as existing at the apartment, neighborhood and the surrounding community levels of analysis that, taken together, form a multi-dimensional construct of housing environment. Self-report data from interviews with a sample of seriously mentally ill adults is paired with (a) observer ratings of housing environments, (b) census profiles of the surrounding community and (c) case manager ratings of clients’ functioning in order to explore the effects of supported housing environments on well-being outcomes. Well-being is operationalized here as levels of psychiatric distress, recovery orientation, residential satisfaction, and adaptive functioning. Hierarchical regression models posit that apartment, neighborhood and census tract level variables are unique predictors of these domains of well-being. Results show that neighborhood level variables, especially those relating to the social environment, are the most influential predictors for understanding variance in well-being, with apartment level variables also contributing to understanding of housing environment effects. The census tract level predictors did not contribute a significant amount of explanation of the variance in well-being outcomes. Implications for supported housing programs and the role of ecological levels of analysis in conceptualizing and measuring housing environment influence are discussed. PMID:19183703

  8. Multi-objective flexible job shop scheduling problem using variable neighborhood evolutionary algorithm

    NASA Astrophysics Data System (ADS)

    Wang, Chun; Ji, Zhicheng; Wang, Yan

    2017-07-01

    In this paper, multi-objective flexible job shop scheduling problem (MOFJSP) was studied with the objects to minimize makespan, total workload and critical workload. A variable neighborhood evolutionary algorithm (VNEA) was proposed to obtain a set of Pareto optimal solutions. First, two novel crowded operators in terms of the decision space and object space were proposed, and they were respectively used in mating selection and environmental selection. Then, two well-designed neighborhood structures were used in local search, which consider the problem characteristics and can hold fast convergence. Finally, extensive comparison was carried out with the state-of-the-art methods specially presented for solving MOFJSP on well-known benchmark instances. The results show that the proposed VNEA is more effective than other algorithms in solving MOFJSP.

  9. Neighborhood socioeconomic status, depression, and health status in the Look AHEAD (Action for Health in Diabetes) study.

    PubMed

    Gary-Webb, Tiffany L; Baptiste-Roberts, Kesha; Pham, Luu; Wesche-Thobaben, Jacquline; Patricio, Jennifer; Pi-Sunyer, F Xavier; Brown, Arleen F; Jones-Corneille, LaShanda; Brancati, Frederick L

    2011-05-19

    Depression and diminished health status are common in adults with diabetes, but few studies have investigated associations with socio-economic environment. The objective of this manuscript was to evaluate the relationship between neighborhood-level SES and health status and depression. Individual-level data on 1010 participants at baseline in Look AHEAD (Action for Health in Diabetes), a trial of long-term weight loss among adults with type 2 diabetes, were linked to neighborhood-level SES (% living below poverty) from the 2000 US Census (tracts). Dependent variables included depression (Beck Inventory), and health status (Medical Outcomes Study (SF-36) scale). Multi-level regression models were used to account simultaneously for individual-level age, sex, race, education, personal yearly income and neighborhood-level SES. Overall, the % living in poverty in the participants' neighborhoods varied, mean =11% (range 0-67%). Compared to their counterparts in the lowest tertile of neighborhood poverty (least poverty), those in the highest tertile (most poverty) had significantly lower scores on the role-limitations(physical), role limitations(emotional), physical functioning, social functioning, mental health, and vitality sub-scales of the SF-36 scale. When evaluating SF-36 composite scores, those living in neighborhoods with more poverty had significantly lower scores on the physical health (beta-coefficient [beta]= -1.90 units, 95% CI: -3.40,-0.039), mental health (beta= -2.92 units, -4.31,-1.53) and global health (beta= -2.77 units, -4.21,-1.33) composite scores. In this selected group of weight loss trial participants, lower neighborhood SES was significantly associated with poorer health status. Whether these associations might influence response to the Look AHEAD weight loss intervention requires further investigation.

  10. Segregation as a multi-scalar phenomenon and its implications for neighborhood-scale research: the case of South Seattle 1990–2010

    PubMed Central

    Fowler, Christopher S.

    2015-01-01

    Neighborhoods and neighborhood change are often at least implicitly understood in relation to processes taking place at scales both smaller than and larger than the neighborhood itself. Until recently our capacity to represent these multi-scalar processes with quantitative measures has been limited. Recent work on “segregation profiles” by Reardon and collaborators (Reardon et al., 2008, 2009) expands our capacity to explore the relationship between population measures and scale. With the methodological tools now available, we need a conceptual shift in how we view population measures in order to bring our theories and measures of neighborhoods into alignment. I argue that segregation can be beneficially viewed as multi-scalar; not a value calculable at some ‘correct’ scale, but a continuous function with respect to scale. This shift requires new ways of thinking about and analyzing segregation with respect to scale that engage with the complexity of the multi-scalar measure. Using block level data for eight neighborhoods in Seattle, Washington I explore the implications of a multi-scalar segregation measure for understanding neighborhoods and neighborhood change from 1990 to 2010. PMID:27041785

  11. Segregation as a multi-scalar phenomenon and its implications for neighborhood-scale research: the case of South Seattle 1990-2010.

    PubMed

    Fowler, Christopher S

    Neighborhoods and neighborhood change are often at least implicitly understood in relation to processes taking place at scales both smaller than and larger than the neighborhood itself. Until recently our capacity to represent these multi-scalar processes with quantitative measures has been limited. Recent work on "segregation profiles" by Reardon and collaborators (Reardon et al., 2008, 2009) expands our capacity to explore the relationship between population measures and scale. With the methodological tools now available, we need a conceptual shift in how we view population measures in order to bring our theories and measures of neighborhoods into alignment. I argue that segregation can be beneficially viewed as multi-scalar ; not a value calculable at some 'correct' scale, but a continuous function with respect to scale. This shift requires new ways of thinking about and analyzing segregation with respect to scale that engage with the complexity of the multi-scalar measure. Using block level data for eight neighborhoods in Seattle, Washington I explore the implications of a multi-scalar segregation measure for understanding neighborhoods and neighborhood change from 1990 to 2010.

  12. Residential segregation, health behavior and overweight/obesity among a national sample of African American adults.

    PubMed

    Corral, Irma; Landrine, Hope; Hao, Yongping; Zhao, Luhua; Mellerson, Jenelle L; Cooper, Dexter L

    2012-04-01

    We examined the role of residential segregation in 5+ daily fruit/vegetable consumption, exercise, and overweight/obesity among African Americans by linking data on the 11,142 African American adults in the 2000 Behavioral Risk Factor Surveillance System to 2000 census data on the segregation of metropolitan statistical areas (MSAs). Multi-level modeling revealed that after controlling for individual-level variables, MSA Segregation and Poverty contributed to fruit/vegetable consumption, MSA Poverty alone contributed to exercise, and MSA Segregation alone contributed to overweight/obesity. These findings highlight the need for research on the built-environments of the segregated neighborhoods in which most African Americans reside, and suggest that neighborhood disparities may contribute to health disparities.

  13. The Influence of Neighborhood Characteristics on Police Officers’ Encounters with Persons Suspected to Have a Serious Mental Illness

    PubMed Central

    Krishan, Shaily; Bakeman, Roger; Broussard, Beth; Cristofaro, Sarah L.; Hankerson-Dyson, Dana; Husbands, Letheshia; Watson, Amy C.; Compton, Michael T.

    2014-01-01

    Objective Police officers’ decisions and behaviors are impacted by the neighborhood context in which police encounters occur. For example, officers may use greater force and be more likely to make arrests in disadvantaged neighborhoods. We examined whether neighborhood characteristics influence police encounters with individuals suspected to have a serious mental illness, addictive disorder, or developmental disability. Method We obtained data on 916 encounters from 166 officers in six jurisdictions in Georgia, USA and abstracted geographical data pertaining to the location of these encounters from United States Decennial Census data. Encounters were nested within 163 census tracts. Officer-reported data covered general encounter characteristics, the officer’s perception of the subject’s condition, subject demographics, use of force, and disposition of the encounter (e.g., arrest v. referral or transport to treatment services). Geographical data included 17 variables representing population and housing characteristics of the census tracts, from which three indices pertaining to neighborhood income, stability, and immigration status were derived using factor-analytic techniques. We then examined associations of these indices with various encounter-related variables using multi-level analysis. Results Encounters taking place in higher-income and higher-stability census tracts were more likely to be dispatch-initiated and take place in a private home compared to those in lower-income and lower-stability neighborhoods. In higher-income neighborhoods, encounters were more likely to involve a subject suspected to have a mental illness (as opposed to an addictive disorder or developmental disability) and less likely to involve a subject suspected to have alcohol problems. The officer’s level of force used was not associated with neighborhood factors. Regarding disposition, although the likelihood of arrest was unrelated to neighborhood characteristics, encounters taking place in higher-immigrant neighborhoods were more likely to result in referral or transport to services than those in lower-immigrant neighborhoods. Conclusion Neighborhood characteristics are important to consider in research on police interactions with individuals with serious mental illnesses, addictive disorders, or developmental disabilities. Such research could inform departmental training policies and procedures based on the needs of the jurisdictions served. PMID:24636571

  14. The influence of neighborhood characteristics on police officers' encounters with persons suspected to have a serious mental illness.

    PubMed

    Krishan, Shaily; Bakeman, Roger; Broussard, Beth; Cristofaro, Sarah L; Hankerson-Dyson, Dana; Husbands, Letheshia; Watson, Amy C; Compton, Michael T

    2014-01-01

    Police officers' decisions and behaviors are impacted by the neighborhood context in which police encounters occur. For example, officers may use greater force and be more likely to make arrests in disadvantaged neighborhoods. We examined whether neighborhood characteristics influence police encounters with individuals suspected to have a serious mental illness, addictive disorder, or developmental disability. We obtained data on 916 encounters from 166 officers in six jurisdictions in Georgia, USA and abstracted geographical data pertaining to the location of these encounters from United States Decennial Census data. Encounters were nested within 163 census tracts. Officer-reported data covered general encounter characteristics, the officer's perception of the subject's condition, subject demographics, use of force, and disposition of the encounter (e.g., arrest v. referral or transport to treatment services). Geographical data included 17 variables representing population and housing characteristics of the census tracts, from which three indices pertaining to neighborhood income, stability, and immigration status were derived using factor-analytic techniques. We then examined associations of these indices with various encounter-related variables using multi-level analysis. Encounters taking place in higher-income and higher-stability census tracts were more likely to be dispatch-initiated and take place in a private home compared to those in lower-income and lower-stability neighborhoods. In higher-income neighborhoods, encounters were more likely to involve a subject suspected to have a mental illness (as opposed to an addictive disorder or developmental disability) and less likely to involve a subject suspected to have alcohol problems. The officer's level of force used was not associated with neighborhood factors. Regarding disposition, although the likelihood of arrest was unrelated to neighborhood characteristics, encounters taking place in higher-immigrant neighborhoods were more likely to result in referral or transport to services than those in lower-immigrant neighborhoods. Neighborhood characteristics are important to consider in research on police interactions with individuals with serious mental illnesses, addictive disorders, or developmental disabilities. Such research could inform departmental training policies and procedures based on the needs of the jurisdictions served. Copyright © 2014 Elsevier Ltd. All rights reserved.

  15. Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: The Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Smith, Jennifer A; Zhao, Wei; Wang, Xu; Ratliff, Scott M; Mukherjee, Bhramar; Kardia, Sharon L R; Liu, Yongmei; Roux, Ava V Diez; Needham, Belinda L

    2017-08-01

    Living in a disadvantaged neighborhood is associated with poor health outcomes even after accounting for individual-level socioeconomic factors. The chronic stress of unfavorable neighborhood conditions may lead to dysregulation of the stress reactivity and inflammatory pathways, potentially mediated through epigenetic mechanisms such as DNA methylation. We used multi-level models to examine the relationship between 2 neighborhood conditions and methylation levels of 18 genes related to stress reactivity and inflammation in purified monocytes from 1,226 participants of the Multi-Ethnic Study of Atherosclerosis (MESA), a population-based sample of US adults. Neighborhood socioeconomic disadvantage, a summary of 16 census-based metrics, was associated with DNA methylation [False discovery rate (FDR) q-value ≤ 0.1] in 2 out of 7 stress-related genes evaluated (CRF, SLC6A4) and 2 out of 11 inflammation-related genes (F8, TLR1). Neighborhood social environment, a summary measure of aesthetic quality, safety, and social cohesion, was associated with methylation in 4 of the 7 stress-related genes (AVP, BDNF, FKBP5, SLC6A4) and 7 of the 11 inflammation-related genes (CCL1, CD1D, F8, KLRG1, NLRP12, SLAMF7, TLR1). High socioeconomic disadvantage and worse social environment were primarily associated with increased methylation. In 5 genes with significant associations between neighborhood and methylation (FKBP5, CD1D, F8, KLRG1, NLRP12), methylation was associated with gene expression of at least one transcript. These results demonstrate that multiple dimensions of neighborhood context may influence methylation levels and subsequent gene expression of stress- and inflammation-related genes, even after accounting for individual socioeconomic factors. Further elucidating the molecular mechanisms underlying these relationships will be important for understanding the etiology of health disparities.

  16. Associations of neighborhood characteristics with sleep timing and quality: the Multi-Ethnic Study Of Atherosclerosis.

    PubMed

    Desantis, Amy S; Diez Roux, Ana V; Moore, Kari; Baron, Kelly G; Mujahid, Mahasin S; Nieto, F Javier

    2013-10-01

    To investigate the associations of specific neighborhood features (disorder, safety, social cohesion, physical environment, and socioeconomic status) with sleep duration and quality. Cross-sectional. One wave of a population-based study (Multi-Ethnic Study of Atherosclerosis). Community-dwelling participants in New York, NY and Los Angeles, CA. There were 1,406 participants (636 males, 770 females). NA. Sleep was assessed using reported hours of sleep, the Epworth Sleepiness Scale, and insomnia symptoms. Neighborhood characteristics were assessed via questionnaires administered to neighbors of study participants and were aggregated to the neighborhood (census tract) level using empirical Bayes estimation. An adverse social environment (characterized by high disorder, and low safety and social cohesion) was associated with shorter sleep duration after adjustment for the physical environment, neighborhood and individual-level socioeconomic status (SES), and other short sleep risk factors (mean difference per standard deviation increase in summary social environment scale 0.24 h 95% confidence interval 0.08, 0.43). Adverse neighborhood social and physical environments, and neighborhood SES were associated with greater sleepiness, but associations with physical environments were no longer statistically significant after adjustment for sociodemographic characteristics. Neighborhood SES was a weaker and less consistent predictor of specific measures of neighborhood social and physical environments. Neighborhood characteristics were not associated with insomnia. Shortened sleep related to adverse social environments represents one potential pathway through which neighborhoods may influence health.

  17. EXAMINATION OF NEIGHBORHOOD DISADVANTAGE AND SLEEP IN A MULTI-ETHNIC COHORT OF ADOLESCENTS

    PubMed Central

    Troxel, Wendy M.; Shih, Regina A.; Ewing, Brett; Tucker, Joan S.; Nugroho, Alvin; D’Amico, Elizabeth J.

    2017-01-01

    Purpose Neighborhood-level socioeconomic disadvantage and lower individual-level socioeconomic status are associated with poorer sleep health in adults. However, few studies have examined the association between neighborhood-level disadvantage and sleep in adolescents, a population at high-risk for sleep disturbances. Methods The current study is the first to examine how objective (i.e. via census tract-level data) and subjective measures of neighborhood disadvantage are associated with sleep in a racially/ ethnically and socioeconomically diverse sample of 2,493 youth [Non-Hispanic White (20%), Hispanic (46%), Asian (21%), and Multiracial/ Other (13%)]. Results Findings indicated that greater perceived neighborhood-level social cohesion and lower neighborhood-level poverty were associated with better sleep outcomes in adolescents. However, there was some evidence that the magnitude of the associations differed according to family-level socioeconomic status and race/ ethnicity. Conclusions Findings suggest that subjective and objective neighborhood characteristics may affect the sleep health of older adolescents, with certain demographic subgroups being particularly vulnerable. PMID:28285183

  18. Associations of Neighborhood Crime and Safety and With Changes in Body Mass Index and Waist Circumference: The Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Powell-Wiley, Tiffany M; Moore, Kari; Allen, Norrina; Block, Richard; Evenson, Kelly R; Mujahid, Mahasin; Diez Roux, Ana V

    2017-08-01

    Using data from the Multi-Ethnic Study of Atherosclerosis (MESA), we evaluated associations of neighborhood crime and safety with changes in adiposity (body mass index (BMI) and waist circumference). MESA is a longitudinal study of cardiovascular disease among adults aged 45-84 years at baseline in 2000-2002, from 6 US sites, with follow-up for MESA participants until 2012. Data for this study were limited to Chicago, Illinois, participants in the MESA Neighborhood Ancillary Study, for whom police-recorded crime data were available, and who had complete baseline data (n = 673). We estimated associations of individual-level safety, aggregated neighborhood-level safety, and police-recorded crime with baseline levels and trajectories of BMI and waist circumference over time using linear mixed modeling with random effects. We also estimated how changes in these factors related to changes in BMI and waist circumference using econometric fixed-effects models. At baseline, greater individual-level safety was associated with more adiposity. Increasing individual- and neighborhood-level safety over time were associated with decreasing BMI over the 10-year period, with a more pronounced effect observed in women for individual-level safety and men for neighborhood-level safety. Police-recorded crime was not associated with adiposity. Neighborhood-level safety likely influences adiposity change and subsequent cardiovascular risk in multiethnic populations. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  19. Do observed or perceived characteristics of the neighborhood environment mediate associations between neighborhood poverty and cumulative biological risk?

    PubMed Central

    Schulz, Amy J.; Mentz, Graciela; Lachance, Laurie; Zenk, Shannon N.; Johnson, Jonetta; Stokes, Carmen; Mandell, Rebecca

    2013-01-01

    Objective To examine contributions of observed and perceived neighborhood characteristics in explaining associations between neighborhood poverty and cumulative biological risk (CBR) in an urban community. Methods Multilevel regression analyses were conducted using cross-sectional data from a probability sample survey (n=919), and observational and census data. Dependent variable: CBR. Independent variables: Neighborhood disorder, deterioration and characteristics; perceived neighborhood social environment, physical environment, and neighborhood environment. Covariates: Neighborhood and individual demographics, health-related behaviors. Results Observed and perceived indicators of neighborhood conditions were significantly associated with CBR, after accounting for both neighborhood and individual level socioeconomic indicators. Observed and perceived neighborhood environmental conditions mediated associations between neighborhood poverty and CBR. Conclusions Findings were consistent with the hypothesis that neighborhood conditions associated with economic divestment mediate associations between neighborhood poverty and CBR. PMID:24100238

  20. Is neighborhood racial/ethnic composition associated with depressive symptoms? The multi-ethnic study of atherosclerosis

    PubMed Central

    Mair, Christina; Diez Roux, Ana V.; Osypuk, Theresa L.; Rapp, Stephen R.; Seeman, Teresa; Watson, Karol E.

    2010-01-01

    The racial/ethnic composition of a neighborhood may be related to residents’ depressive symptoms through differential levels of neighborhood social support and/or stressors. We used the Multi-Ethnic Study of Atherosclerosis to investigate cross-sectional associations of neighborhood racial/ethnic composition with the Center for Epidemiologic Studies-Depression (CES-D) scale in adults aged 45–84. The key exposure was a census-derived measure of the percentage of residents of the same racial/ethnic background in each participant’s census tract. Two-level multilevel models were used to estimate associations of neighborhood racial/ethnic composition with CES-D scores after controlling for age, income, marital status, education and nativity. We found that living in a neighborhood with a higher percentage of residents of the same race/ethnicity was associated with increased CES-D scores in African American men (p < 0.05), and decreased CES-D scores in Hispanic men and women and Chinese women, although these differences were not statistically significant. Models were further adjusted for neighborhood-level covariates (social cohesion, safety, problems, aesthetic quality and socioeconomic factors) derived from survey responses and census data. Adjusting for other neighborhood characteristics strengthened protective associations amongst Hispanics, but did not change the significant associations in African American men. These results demonstrate heterogeneity in the associations of race/ethnic composition with mental health and the need for further exploration of which aspects of neighborhood environments may contribute to these associations. PMID:20541303

  1. Family- and Neighborhood-Level Factors as Predictors of Conduct Problems in School among Young, Urban, Minority Children

    PubMed Central

    Palamar, Joseph J.; Calzada, Esther J.; Theise, Rachelle; Huang, Keng-Yen; Petkova, Eva; Brotman, Laurie Miller

    2017-01-01

    Minority children attending schools in urban socioeconomically disadvantaged neighborhoods are at high risk for conduct problems. Although a number of family and neighborhood characteristics have been implicated in the onset and progression of conduct problems, there remains incomplete understanding of the unique contributions of poverty-related factors early in development. This prospective study of 298 black public school children considered family- and neighborhood-level predictors of teacher-reported conduct problems from pre-kindergarten through first grade. Results from multi-level analyses indicate that percentage of poor residents in a student’s neighborhood made a robust independent contribution to the prediction of development of conduct problems, over and above family- and other neighborhood-level demographic factors. For children of single parents, the percentage of black residents in the neighborhood also predicted the development of conduct problems. School-based interventions to prevent conduct problems should consider impact for children at highest risk based on neighborhood poverty. PMID:24673380

  2. Family- and Neighborhood-Level Factors as Predictors of Conduct Problems in School among Young, Urban, Minority Children.

    PubMed

    Palamar, Joseph J; Calzada, Esther J; Theise, Rachelle; Huang, Keng-Yen; Petkova, Eva; Brotman, Laurie Miller

    2015-01-01

    Minority children attending schools in urban socioeconomically disadvantaged neighborhoods are at high risk for conduct problems. Although a number of family and neighborhood characteristics have been implicated in the onset and progression of conduct problems, there remains incomplete understanding of the unique contributions of poverty-related factors early in development. This prospective study of 298 black public school children considered family- and neighborhood-level predictors of teacher-reported conduct problems from pre-kindergarten through first grade. Results from multi-level analyses indicate that percentage of poor residents in a student's neighborhood made a robust independent contribution to the prediction of development of conduct problems, over and above family- and other neighborhood-level demographic factors. For children of single parents, the percentage of black residents in the neighborhood also predicted the development of conduct problems. School-based interventions to prevent conduct problems should consider impact for children at highest risk based on neighborhood poverty.

  3. The effects of social capital and neighborhood characteristics on intimate partner violence: a consideration of social resources and risks.

    PubMed

    Kirst, Maritt; Lazgare, Luis Palma; Zhang, Yu Janice; O'Campo, Patricia

    2015-06-01

    Intimate partner violence (IPV) is a growing public health problem, and gaps exist in knowledge with respect to appropriate prevention and treatment strategies. A growing body of research evidence suggests that beyond individual factors (e.g., socio-economic status, psychological processes, substance abuse problems), neighborhood characteristics, such as neighborhood economic disadvantage, high crime rates, high unemployment and social disorder, are associated with increased risk for IPV. However, existing research in this area has focused primarily on risk factors inherent in neighborhoods, and has failed to adequately examine resources within social networks and neighborhoods that may buffer or prevent the occurrence of IPV. This study examines the effects of neighborhood characteristics, such as economic disadvantage and disorder, and individual and neighborhood resources, such as social capital, on IPV among a representative sample of 2412 residents of Toronto, Ontario, Canada. Using a population based sample of 2412 randomly selected Toronto adults with comprehensive neighborhood level data on a broad set of characteristics, we conducted multi-level modeling to examine the effects of individual- and neighborhood-level effects on IPV outcomes. We also examined protective factors through a comprehensive operationalization of the concept of social capital, involving neighborhood collective efficacy, community group participation, social network structure and social support. Findings show that residents who were involved in one or more community groups in the last 12 months and had high perceived neighborhood problems were more likely to have experienced physical IPV. Residents who had high perceived social support and low perceived neighborhood problems were less likely to experience non-physical IPV. These relationships did not differ by neighborhood income or gender. Findings suggest interesting contextual effects of social capital on IPV. Consistent with previous research, higher levels of perceived neighborhood problems can reflect disadvantaged environments that are more challenged in promoting health and regulating disorder, and can create stressors in which IPV is more likely to occur. Such analyses will be helpful to further understanding of the complex, multi-level pathways related to IPV and to inform the development of effective programs and policies with which to address and prevent this serious public health issue.

  4. The Effect of Neighborhood Context on the Relationship Between Substance Misuse and Weapons Aggression in Urban Adolescents Seeking ED Care

    PubMed Central

    Goldstick, Jason Elliott; Lipton, Robert I.; Carter, Patrick; Stoddard, Sarah A.; Newton, Manya F.; Reischl, Thomas; Walton, Maureen; Zimmerman, Marc A.; Cunningham, Rebecca M.

    2015-01-01

    Background Frameworks for studying the ecology of human behavior suggest that multiple levels of the environment influence behavior and that these levels interact. Applied to studies of weapons aggression, this suggests proximal risk factor (e.g., substance use) effects may differ across neighborhoods. Objectives To estimate how the association between weapons aggression and substance use varies as a function of several community-level variables. Methods Individual-level measures (demographics, behavioral measures) were obtained from a survey of youth aged 14–24 years old seeking care at a Level-1 ED in Flint, Michigan. Community-level variables were obtained from public sources. Logistic generalized additive models were used to test whether community-level variables (crime rates, alcohol outlets, demographics) modify the link between individual-level substance use variables and the primary outcome measure: self-reported past 6-month weapon (firearm/knife) related aggression. Results The effect of marijuana misuse on weapons aggression varied significantly as a function of five community-level variables: racial composition, vacant housing rates, female headed household rates, density of package alcohol outlets, and nearby drug crime rates. The effect of high-risk alcohol use did not depend on any of the eight community variables tested. Conclusions The relationship between marijuana misuse and weapons aggression differed across neighborhoods with generally less association in more disadvantaged neighborhoods, while high-risk alcohol use showed a consistently high association with weapons aggression that did not vary across neighborhoods. The results aid in understanding the contributions of alcohol and marijuana use to the etiology of weapon-related aggression among urban youth, but further study in the general population is required. PMID:25607807

  5. The Effect of Neighborhood Context on the Relationship Between Substance Misuse and Weapons Aggression in Urban Adolescents Seeking ED Care.

    PubMed

    Goldstick, Jason Elliott; Lipton, Robert I; Carter, Patrick; Stoddard, Sarah A; Newton, Manya F; Reischl, Thomas; Walton, Maureen; Zimmerman, Marc A; Cunningham, Rebecca M

    2015-04-01

    Frameworks for studying the ecology of human behavior suggest that multiple levels of the environment influence behavior and that these levels interact. Applied to studies of weapons aggression, this suggests proximal risk factor (e.g., substance use) effects may differ across neighborhoods. To estimate how the association between weapons aggression and substance use varies as a function of several community-level variables. Individual-level measures (demographics, behavioral measures) were obtained from a survey of youth aged 14-24 years old seeking care at a Level-1 ED in Flint, Michigan. Community-level variables were obtained from public sources. Logistic generalized additive models were used to test whether community-level variables (crime rates, alcohol outlets, demographics) modify the link between individual-level substance use variables and the primary outcome measure: self-reported past 6-month weapon (firearm/knife) related aggression. The effect of marijuana misuse on weapons aggression varied significantly as a function of five community-level variables: racial composition, vacant housing rates, female headed household rates, density of package alcohol outlets, and nearby drug crime rates. The effect of high-risk alcohol use did not depend on any of the eight community variables tested. The relationship between marijuana misuse and weapons aggression differed across neighborhoods with generally less association in more disadvantaged neighborhoods, while high-risk alcohol use showed a consistently high association with weapons aggression that did not vary across neighborhoods. The results aid in understanding the contributions of alcohol and marijuana use to the etiology of weapon-related aggression among urban youth, but further study in the general population is required.

  6. What calls for service tell us about suicide: A 7-year spatio-temporal analysis of neighborhood correlates of suicide-related calls.

    PubMed

    Marco, Miriam; Gracia, Enrique; López-Quílez, Antonio; Lila, Marisol

    2018-04-30

    Previous research has shown that neighborhood-level variables such as social deprivation, social fragmentation or rurality are related to suicide risk, but most of these studies have been conducted in the U.S. or northern European countries. The aim of this study was to analyze the spatio-temporal distribution of suicide in a southern European city (Valencia, Spain), and determine whether this distribution was related to a set of neighborhood-level characteristics. We used suicide-related calls for service as an indicator of suicide cases (n = 6,537), and analyzed the relationship of the outcome variable with several neighborhood-level variables: economic status, education level, population density, residential instability, one-person households, immigrant concentration, and population aging. A Bayesian autoregressive model was used to study the spatio-temporal distribution at the census block group level for a 7-year period (2010-2016). Results showed that neighborhoods with lower levels of education and population density, and higher levels of residential instability, one-person households, and an aging population had higher levels of suicide-related calls for service. Immigrant concentration and economic status did not make a relevant contribution to the model. These results could help to develop better-targeted community-level suicide prevention strategies.

  7. Depression, neighborhood deprivation and risk of type 2 diabetes

    PubMed Central

    Mezuk, Briana; Chaikiat, Åsa; Li, Xinjun; Sundquist, Jan; Kendler, Kenneth S.; Sundquist, Kristina

    2013-01-01

    Neighborhood characteristics have been associated with both depression and diabetes, but to date little attention has been paid to whether the association between depression and diabetes varies across different types of neighborhoods. This prospective study examined the relationship between depression, neighborhood deprivation, and risk of type 2 diabetes among 336,340 adults from a national-representative sample of primary care centers in Sweden (2001–2007). Multi-level logistic regression models were used to assess associations between depression and risk of type 2 diabetes across affluent and deprived neighborhoods. After accounting for demographic, individual-level socioeconomic, and health characteristics, depression was significantly associated with risk of diabetes (odds ratio (OR): 1.10, 95% confidence interval (CI): 1.06–1.14), as was neighborhood deprivation (OR for high vs. low deprivation: 1.66, 95% CI: 1.22–1.34). The interaction term between depression and neighborhood deprivation was non-significant, indicating that the relationship between depression and diabetes risk is similar across levels of neighborhood socioeconomic deprivation. PMID:23771166

  8. Defining Neighborhood Boundaries for Urban Health Research

    PubMed Central

    Weiss, Linda; Ompad, Danielle; Galea, Sandro; Vlahov, David

    2008-01-01

    The body of literature exploring neighborhood effects on health has increased rapidly in recent years, yet a number of methodological concerns remain, including preferred methods for identification and delineation of study neighborhoods. In research combining census or other publicly available data with surveys of residents and/or street-level observations, questions regarding neighborhood definition take on added significance. Neighborhoods must be identified and delineated in such a way as to optimize quality and availability of data from each of these sources. IMPACT, a multi-level study examining associations between features of the urban environment and mental health, drug use, and sexual behavior, utilized a multi-step neighborhood definition process including development of census block group maps, review of land use and census tract data, and field visits and observation in each of the targeted communities. Field observations were guided by a pre-identified list of environmental features focused on the potential for recruitment (e.g. pedestrian volume); characteristics commonly used to define neighborhood boundaries (e.g. obstructions to pedestrian traffic, changes in land use), and characteristics that have been associated in the literature with health behaviors and health outcomes (such as housing type, maintenance and use of open spaces). This process, implemented in February through July 2005, proved feasible and offered the opportunity to identify neighborhoods appropriate to study objectives and to collect descriptive information that can be used as a context for understanding study results. PMID:17543706

  9. Wildland-Urban Interface Fires and Socioeconomic Conditions: A Case Study of a Northwestern Patagonia City

    NASA Astrophysics Data System (ADS)

    de Torres Curth, Monica; Biscayart, Carolina; Ghermandi, Luciana; Pfister, Gabriela

    2012-04-01

    In many regions of the world, fires are primarily of anthropogenic origin. In northwestern Patagonia, the number of fires is not correlated with meteorological variables, but is concentrated in urban areas. This study was conducted in the wildland-urban interface (WUI) area of San Carlos de Bariloche (Patagonia, Argentina), within the Nahuel Huapi National Park. WUI fires are particularly problematic because, besides people and goods, they represent a danger to protected areas. We studied the relationship between fire records and socioeconomic indicators within the WUI of San Carlos de Bariloche. We conducted a Multiple Correspondence Factorial Analysis and an Ascendant Hierarchical Classification of the city neighborhoods. The results show that the neighborhoods in Bariloche can be divided into three classes: High Socioeconomic Fire Risk neighborhoods, including neighborhoods with the highest fire rates, where people have low instruction level, high levels of unsatisfied basic needs and high unemployment levels; Low Socioeconomic Fire Risk neighborhoods, that groups neighborhoods which present the opposite characterization, and Moderate Socioeconomic Fire Risk neighborhoods, which are more heterogeneous. Once neighborhoods were classified, a Socioeconomic Fire Risk map was generated, supplementing the existing WUI Fire Danger map. Our results emphasize the relevance of socioeconomic variables to fire policies.

  10. The Neighborhood Social Environment and Objective Measures of Sleep in the Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Johnson, Dayna A; Simonelli, Guido; Moore, Kari; Billings, Martha; Mujahid, Mahasin S; Rueschman, Michael; Kawachi, Ichiro; Redline, Susan; Diez Roux, Ana V; Patel, Sanjay R

    2017-01-01

    To investigate cross-sectional associations of neighborhood social environment (social cohesion, safety) with objective measures of sleep duration, timing, and disturbances. A racially/ethnically diverse population of men and women (N = 1949) aged 54 to 93 years participating in the Multi-Ethnic Study of Atherosclerosis Sleep and Neighborhood Ancillary studies. Participants underwent 1-week actigraphy between 2010 and 2013. Measures of sleep duration, timing, and disruption were averaged over all days. Neighborhood characteristics were assessed via questionnaires administered to participants and an independent sample within the same neighborhood and aggregated at the neighborhood (census tract, N = 783) level using empirical Bayes estimation. Multilevel linear regression models were used to assess the association between the neighborhood social environment and each sleep outcome. Neighborhood social environment characterized by higher levels of social cohesion and safety were associated with longer sleep duration and earlier sleep midpoint. Each 1 standard deviation higher neighborhood social environment score was associated with 6.1 minutes longer [95% confidence interval (CI): 2.0, 10.2] sleep duration and 6.4 minutes earlier (CI: 2.2, 10.6) sleep midpoint after adjustment for age, sex, race, socioeconomic status, and marital status. These associations persisted after adjustment for other risk factors. Neighborhood social factors were not associated with sleep efficiency or sleep fragmentation index. A more favorable neighborhood social environment is associated with longer objectively measured sleep duration and earlier sleep timing. Intervening on the neighborhood environment may improve sleep and subsequent health outcomes. © Sleep Research Society 2017. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

  11. Neighborhood stressors and race/ethnic differences in hypertension prevalence (the Multi-Ethnic Study of Atherosclerosis).

    PubMed

    Mujahid, Mahasin S; Diez Roux, Ana V; Cooper, Richard C; Shea, Steven; Williams, David R

    2011-02-01

    The reasons for racial/ethnic disparities in hypertension (HTN) prevalence in the United States are poorly understood. Using data from the Multi-Ethnic Study of Atherosclerosis (MESA), we investigated whether individual- and neighborhood-level chronic stressors contribute to these disparities in cross-sectional analyses. The sample consisted of 2,679 MESA participants (45-84 years) residing in Baltimore, New York, and North Carolina. HTN was defined as systolic or diastolic blood pressure ≥140 or 90 mm Hg, or taking antihypertensive medications. Individual-level chronic stress was measured by self-reported chronic burden and perceived major and everyday discrimination. A measure of neighborhood (census tract) chronic stressors (i.e., physical disorder, violence) was developed using data from a telephone survey conducted with other residents of MESA neighborhoods. Binomial regression was used to estimate associations between HTN and race/ethnicity before and after adjustment for individual and neighborhood stressors. The prevalence of HTN was 59.5% in African Americans (AAs), 43.9% in Hispanics, and 42.0% in whites. Age- and sex-adjusted relative prevalences of HTN (compared to whites) were 1.30 (95% confidence interval (CI): 1.22-1.38) for AA and 1.16 (95% CI: 1.04-1.31) for Hispanics. Adjustment for neighborhood stressors reduced these to 1.17 (95% CI: 1.11-1.22) and 1.09 (95% CI: 1.00-1.18), respectively. Additional adjustment for individual-level stressors, acculturation, income, education, and other neighborhood features only slightly reduced these associations. Neighborhood chronic stressors may contribute to race/ethnic differences in HTN prevalence in the United States.

  12. Exploring obesogenic food environments in Edmonton, Canada: the association between socioeconomic factors and fast-food outlet access.

    PubMed

    Hemphill, Eric; Raine, Kim; Spence, John C; Smoyer-Tomic, Karen E

    2008-01-01

    To explore the relationship between the placement of fast-food outlets and neighborhood-level socioeconomic variables by determining if indicators of lower socioeconomic status were predictive of exposure to fast food. A descriptive analysis of the fast-food environment in a Canadian urban center, using secondary analysis of census data and Geographic Information Systems technology. Edmonton, Alberta, Canada. Neighborhoods were classified as High, Medium, or Low Access based on the number of fast-food opportunities available to them. Neighborhood-level socioeconomic data (income, education, employment, immigration status, and housing tenure) from the 2001 Statistics Canada federal census were obtained. A discriminant function analysis was used to determine if any association existed between neighborhood demographic characteristics and accessibility of fast-food outlets. Significant differences were found between the three levels of fast-food accessibility across the socioeconomic variables, with successively greater percentages of unemployment, low income, and renters in neighborhoods with increasingly greater access to fast-food restaurants. A high score on several of these variables was predictive of greater access to fast-food restaurants. Although a causal inference is not possible, these results suggest that the distribution of fast-food outlets relative to neighborhood-level socioeconomic status requires further attention in the process of explaining the increased rates of obesity observed in relatively deprived populations.

  13. Perceptions of prominent neighborhood individuals regarding neighborhood factors and intimate partner violence.

    PubMed

    Yonas, Michael; Akers, Aletha Y; Burke, Jessica G; Chang, Judy C; Thomas, Alicia L; Thomas, Aletha L; O'Campo, Patricia

    2011-04-01

    Research addressing the impact of neighborhood factors on intimate partner violence (IPV) often lacks discussion of how and why such factors impact IPV. In order to address this gap, 16 prominent neighborhood individuals (PNI) from 4 low-income urban neighborhoods were asked to share through in-depth interviews their insights and perceptions of IPV as an issue in their neighborhoods, and the relationship between social and structural neighborhood-level factors and IPV. PNIs most often associated IPV with only physical violence. Several did not feel IPV was a significant issue in their neighborhood, confirming a lack of awareness and underreporting of IPV. However, other PNIs were able to speak of the relationship between IPV and neighborhood factors, including lack of opportunities for employment, vacant housing, trash management, lack of community awareness, and social capacity to act to address IPV. Results provide unique insights regarding the mechanisms linking neighborhood factors to IPV outcomes. These results contribute to a deeper understanding of contextual influences upon IPV, the development of tailored quantitative research and to the design of local multi-level public health IPV intervention and prevention efforts.

  14. Built Environment and Obesity by Urbanicity in the U.S

    PubMed Central

    Xu, Yanqing; Wang, Fahui

    2015-01-01

    Based on the data from the Behavioral Risk Factor Surveillance System 2012, this study examines the association of neighborhood built environments with individual physical inactivity and obesity in the U.S. Multilevel modeling is used to control for the effects of individual socio-demographic characteristics. Neighborhood variables include built environment, poverty level and urbanicity at the county level. Among the built environment variables, a poorer street connectivity and a more prominent presence of fast-food restaurants are associated with a higher obesity risk (especially for areas of certain urbanicity levels). Analysis of data subsets divided by areas of different urbanicity levels and by gender reveals the variability of effects of independent variables, more so for the neighborhood variables than individual variables. This implies that some obesity risk factors are geographically specific and vary between men and women. The results lend support to the role of built environment in influencing people’s health behavior and outcome, and promote public policies that need to be geographically adaptable and sensitive to the diversity of demographic groups. PMID:25864019

  15. Built environment and obesity by urbanicity in the U.S.

    PubMed

    Xu, Yanqing; Wang, Fahui

    2015-07-01

    Based on the data from the Behavioral Risk Factor Surveillance System 2012, this study examines the association of neighborhood built environments with individual physical inactivity and obesity in the U.S. Multilevel modeling is used to control for the effects of individual socio-demographic characteristics. Neighborhood variables include built environment, poverty level and urbanicity at the county level. Among the built environment variables, a poorer street connectivity and a more prominent presence of fast-food restaurants are associated with a higher obesity risk (especially for areas of certain urbanicity levels). Analysis of data subsets divided by areas of different urbanicity levels and by gender reveals the variability of effects of independent variables, more so for the neighborhood variables than individual variables. This implies that some obesity risk factors are geographically specific and vary between men and women. The results lend support to the role of built environment in influencing people's health behavior and outcome, and promote public policies that need to be geographically adaptable and sensitive to the diversity of demographic groups. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Perceptions as the crucial link? The mediating role of neighborhood perceptions in the relationship between the neighborhood context and neighborhood cohesion.

    PubMed

    Laméris, Joran; Hipp, John R; Tolsma, Jochem

    2018-05-01

    This study examines the effects of neighborhood racial in-group size, economic deprivation and the prevalence of crime on neighborhood cohesion among U.S. whites. We explore to what extent residents' perceptions of their neighborhood mediate these macro-micro relationships. We use a recent individual-level data set, the American Social Fabric Study (2012/2013), enriched with contextual-level data from the U.S. Census Bureau (2010) and employ multi-level structural equation models. We show that the racial in-group size is positively related to neighborhood cohesion and that neighborhood cohesion is lower in communities with a high crime rate. Individuals' perceptions of the racial in-group size partly mediate the relationship between the objective racial in-group size and neighborhood cohesion. Residents' perceptions of unsafety from crime also appear to be a mediating factor, not only for the objective crime rate but also for the objective racial in-group size. This is in line with our idea that racial stereotypes link racial minorities to crime whereby neighborhoods with a large non-white population are perceived to be more unsafe. Residents of the same neighborhood differ in how they perceive the degree of economic decay of the neighborhood and this causes them to evaluate neighborhood cohesion differently, however perceptions of neighborhood economic decay do not explain the link between the objective neighborhood context and neighborhood cohesion. Copyright © 2018. Published by Elsevier Inc.

  17. Multilevel built environment features and individual odds of overweight and obesity in Utah

    PubMed Central

    Xu, Yanqing; Wen, Ming; Wang, Fahui

    2015-01-01

    Based on the data from the Behavioral Risk Factor Surveillance System (BRFSS) in 2007, 2009 and 2011 in Utah, this research uses multilevel modeling (MLM) to examine the associations between neighborhood built environments and individual odds of overweight and obesity after controlling for individual risk factors. The BRFSS data include information on 21,961 individuals geocoded to zip code areas. Individual variables include BMI (body mass index) and socio-demographic attributes such as age, gender, race, marital status, education attainment, employment status, and whether an individual smokes. Neighborhood built environment factors measured at both zip code and county levels include street connectivity, walk score, distance to parks, and food environment. Two additional neighborhood variables, namely the poverty rate and urbanicity, are also included as control variables. MLM results show that at the zip code level, poverty rate and distance to parks are significant and negative covariates of the odds of overweight and obesity; and at the county level, food environment is the sole significant factor with stronger fast food presence linked to higher odds of overweight and obesity. These findings suggest that obesity risk factors lie in multiple neighborhood levels and built environment features need to be defined at a neighborhood size relevant to residents' activity space. PMID:26251559

  18. A Neighborhood Wealth Metric for Use in Health Studies

    PubMed Central

    Moudon, Anne Vernez; Cook, Andrea J.; Ulmer, Jared; Hurvitz, Philip M.; Drewnowski, Adam

    2011-01-01

    Background Measures of neighborhood deprivation used in health research are typically based on conventional area-based SES. Purpose The aim of this study is to examine new data and measures of SES for use in health research. Specifically, assessed property values are introduced as a new individual-level metric of wealth and tested for their ability to substitute for conventional area-based SES as measures of neighborhood deprivation. Methods The analysis was conducted in 2010 using data from 1922 participants in the 2008– 2009 survey of the Seattle Obesity Study (SOS). It compared the relative strength of the association between the individual-level neighborhood wealth metric (assessed property values) and area-level SES measures (including education, income, and percentage above poverty as single variables, and as the composite Singh index) on the binary outcome fair/poor general health status. Analyses were adjusted for gender, categoric age, race, employment status, home ownership, and household income. Results The neighborhood wealth measure was more predictive of fair/poor health status than area-level SES measures, calculated either as single variables or as indices (lower DIC measures for all models). The odds of having a fair/poor health status decreased by 0.85 [0.77, 0.93] per $50,000 increase in neighborhood property values after adjusting for individual-level SES measures. Conclusions The proposed individual-level metric of neighborhood wealth, if replicated in other areas, could replace area-based SES measures, thus simplifying analyses of contextual effects on health. PMID:21665069

  19. Subjective neighborhood assessment and physical inactivity: An examination of neighborhood-level variance.

    PubMed

    Prochaska, John D; Buschmann, Robert N; Jupiter, Daniel; Mutambudzi, Miriam; Peek, M Kristen

    2018-06-01

    Research suggests a linkage between perceptions of neighborhood quality and the likelihood of engaging in leisure-time physical activity. Often in these studies, intra-neighborhood variance is viewed as something to be controlled for statistically. However, we hypothesized that intra-neighborhood variance in perceptions of neighborhood quality may be contextually relevant. We examined the relationship between intra-neighborhood variance of subjective neighborhood quality and neighborhood-level reported physical inactivity across 48 neighborhoods within a medium-sized city, Texas City, Texas using survey data from 2706 residents collected between 2004 and 2006. Neighborhoods where the aggregated perception of neighborhood quality was poor also had a larger proportion of residents reporting being physically inactive. However, higher degrees of disagreement among residents within neighborhoods about their neighborhood quality was significantly associated with a lower proportion of residents reporting being physically inactive (p=0.001). Our results suggest that intra-neighborhood variability may be contextually relevant in studies seeking to better understand the relationship between neighborhood quality and behaviors sensitive to neighborhood environments, like physical activity. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. The Association between Belgian Older Adults' Physical Functioning and Physical Activity: What Is the Moderating Role of the Physical Environment?

    PubMed

    Van Holle, Veerle; Van Cauwenberg, Jelle; Gheysen, Freja; Van Dyck, Delfien; Deforche, Benedicte; Van de Weghe, Nico; De Bourdeaudhuij, Ilse

    2016-01-01

    Better physical functioning in the elderly may be associated with higher physical activity levels. Since older adults spend a substantial part of the day in their residential neighborhood, the neighborhood physical environment may moderate associations between functioning and older adults' physical activity. The present study investigated the moderating role of the objective and perceived physical environment on associations between Belgian older adults' physical functioning and transport walking, recreational walking, and moderate-to-vigorous physical activity. Data from 438 older adults were included. Objective physical functioning was assessed using the Short Physical Performance Battery. Potential moderators included objective neighborhood walkability and perceptions of land use mix diversity, access to recreational facilities, access to services, street connectivity, physical barriers for walking, aesthetics, crime-related safety, traffic speeding-related safety, and walking infrastructure. Transport and recreational walking were self-reported, moderate-to-vigorous physical activity was assessed through accelerometers. Multi-level regression analyses were conducted using MLwiN to examine two-way interactions between functioning and the environment on both walking outcomes. Based on a previous study where environment x neighborhood income associations were found for Belgian older adults' moderate-to-vigorous physical activity, three-way functioning x environment x income interactions were examined for moderate-to-vigorous physical activity. Objectively-measured walkability moderated the association between functioning and transport walking; this positive association was only present in high-walkable neighborhoods. Moreover, a three-way interaction was observed for moderate-to-vigorous physical activity. Only in high-income, high-walkable neighborhoods, there was a positive association between functioning and moderate-to-vigorous physical activity. No functioning x walkability interactions were observed for recreational walking, and none of the perceived environmental variables moderated the positive association between physical functioning and the physical activity outcomes. For older adults with better physical functioning, living in a high-walkable neighborhood could be beneficial to engage in more transport walking. Living in high-income, high-walkable neighborhoods and having better functioning might also be beneficial for more engagement in moderate-to-vigorous physical activity. This might suggest a protective role of neighborhood walkability for preventing declining physical functioning and consequently decreasing physical activity levels in older adults. However, given the cross-sectional design of the present study, this suggestion needs to be confirmed through longitudinal assessment investigating over-time changes in the observed associations.

  1. Health-related behavior as a mechanism behind the relationship between neighborhood social capital and individual health - a multilevel analysis

    PubMed Central

    2012-01-01

    Background Although various studies have found a positive association between neighborhood social capital and individual health, the mechanism explaining this direct effect is still unclear. Neighborhood social capital is the access to resources that are generated by relationships between people in a friendly, well-connected and tightly knit neighborhood community. We expect that the resources generated by cohesive neighborhoods support and influence health -improving behaviors in daily life. We identify five different health-related behaviors that are likely to be affected by neighborhood social capital and test these behaviors separately as mediators. Methods The data set pertaining to individual health was taken from the 'health interview' in the 'Second Dutch national survey of general practice' (DNSGP-2, 2002). We combine these individual-level data with data from the 'Dutch housing demand survey' (WBO, 1998 and WoON, 2002) and statistical register information (1995-1999). Per neighborhood 29 WBO respondents, on average, had answered questions regarding social capital in their neighborhood. These variables have been aggregated to the neighborhood level by an ecometric methodology. In the main analysis, in which we tested the mediation, multilevel (ordered) logistic regressions were used to analyze 9253 adults (from the DNSGP-2 data set) from 672 Dutch neighborhoods. In the Netherlands, on average, neighborhoods (4-digit postcodes) comprise 4,000 inhabitants at highly variable population densities. Individual- and neighborhood-level controls have been taken into account in the analyses. Results In neighborhoods with a high level of social capital, people are more physically active and more likely to be non-smokers. These behaviors have positive effects on their health. The direct effect of neighborhood social capital on health is significantly and strongly reduced by physical activity. This study does not support nutrition and sleep habits or moderate alcohol intake as possible explanations of the effects of neighborhoods on health. Conclusions This study is one of the first to test a mechanism explaining much of the direct effect of small-area social capital on individual health. Neighborhood interventions might be most successful at improving health if they stimulate both social interaction and physical activity. PMID:22325740

  2. Home and Work Neighborhood Environments in Relation to Body Mass Index: The Multi-Ethnic Study of Atherosclerosis (MESA)

    PubMed Central

    Moore, Kari; Diez Roux, Ana V.; Auchincloss, Amy; Evenson, Kelly R.; Kaufman, Joel; Mujahid, Mahasin; Williams, Kayleen

    2013-01-01

    Background Little is known about neighborhood characteristics of workplaces, the extent to which they are independently and synergistically correlated with residential environments, and their impact on health. Methods This study investigated cross-sectional relationships between home and workplace neighborhood environments with body mass index (BMI) in 1,503 working participants of the Multi-Ethnic Study of Atherosclerosis (MESA) with mean age 59.6 (SD=7.4). Neighborhood features were socioeconomic status (SES), social environment (aesthetic quality, safety, and social cohesion), and physical environment (walking environment, recreational facilities, and food stores) derived from census data, locational data on businesses, and survey data. Paired t-tests and correlations compared environments overall and by distance between locations. Cross-classified multi-level models estimated associations with BMI. Results Home neighborhoods had more favorable social environments while workplaces had more favorable SES and physical environments. Workplace and home measures were correlated (0.39–0.70) and differences between home and workplaces were larger as distance increased. Associations between BMI and neighborhood SES and recreational facilities were stronger for home environment (P≤0.05) but did not significantly differ for healthy food, safety, or social cohesion. Healthy food availability at home and work appeared to act synergistically (interaction P=0.01). Conclusions Consideration of workplace environment may enhance our understanding of how place affects BMI. PMID:23868527

  3. Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates.

    PubMed

    Winkleby, Marilyn; Cubbin, Catherine; Ahn, David

    2006-12-01

    We examined whether the influence of neighborhood-level socioeconomic status (SES) on mortality differed by individual-level SES. We used a population-based, mortality follow-up study of 4476 women and 3721 men, who were predominately non-HIspanic White and aged 25-74 years at baseline, from 82 neighborhoods in 4 California cities. Participants were surveyed between 1979 and 1990, and were followed until December 31, 2002 (1148 deaths; mean follow-up time 17.4 years). Neighborhood SES was defined by 5 census variables and was divided into 3 levels. Individual SES was defined by a composite of educational level and household income and was divided into tertiles. Death rates among women of low SES were highest in high-SES neighborhoods (1907/100000 person-years), lower in moderate-SES neighborhoods (1323), and lowest in low-SES neighborhoods (1128). Similar to women, rates among men of low SES were 1928, 1646, and 1590 in high-, moderate-, and low-SES neighborhoods, respectively. Differences were not explained by individual-level baseline risk factors. The disparities in mortality by neighborhood of residence among women and men of low SES demonstrate that they do not benefit from the higher quality of resources and knowledge generally associated with neighborhoods that have higher SES.

  4. Neighborhoods and Fertility in Accra, Ghana: An AMOEBA-based Approach

    PubMed Central

    Weeks, John R.; Getis, Arthur; Hill, Allan G.; Agyei-Mensah, Samuel; Rain, David

    2010-01-01

    Fertility levels remain high in most of sub-Saharan Africa, despite recent declines, and even in a large capital city such as Accra, Ghana, women are having children at a pace that is well above replacement level and this will contribute to significant levels of future population growth in the city. Our purpose in this paper is to evaluate the way in which neighborhood context may shape reproductive behavior in Accra. In the process, we introduce several important innovations to the understanding of intra-urban fertility levels in a sub-Saharan African city: (1) despite the near explosion of work on neighborhoods as a spatial unit of analysis, very little of this research has been conducted outside of the richer countries; (2) we characterize neighborhoods on the basis of local knowledge of what we call “vernacular neighborhoods”; (3) we then define what we call “organic neighborhoods” using a new clustering tool—the AMOEBA algorithm—to create these neighborhoods; and then (4) we evaluate and explain which of the neighborhood concepts has the largest measurable contextual effect on an individual woman’s reproductive behavior. Multi-level regression analysis suggests that vernacular neighborhoods are more influential on a woman’s decision to delay marriage, whereas the organic neighborhoods based on socioeconomic status better capture the factors that shape fertility decisions after marriage. PMID:21572914

  5. Comparing Classic and Interval Analytical Hierarchy Process Methodologies for Measuring Area-Level Deprivation to Analyze Health Inequalities.

    PubMed

    Cabrera-Barona, Pablo; Ghorbanzadeh, Omid

    2018-01-16

    Deprivation indices are useful measures to study health inequalities. Different techniques are commonly applied to construct deprivation indices, including multi-criteria decision methods such as the analytical hierarchy process (AHP). The multi-criteria deprivation index for the city of Quito is an index in which indicators are weighted by applying the AHP. In this research, a variation of this index is introduced that is calculated using interval AHP methodology. Both indices are compared by applying logistic generalized linear models and multilevel models, considering self-reported health as the dependent variable and deprivation and self-reported quality of life as the independent variables. The obtained results show that the multi-criteria deprivation index for the city of Quito is a meaningful measure to assess neighborhood effects on self-reported health and that the alternative deprivation index using the interval AHP methodology more thoroughly represents the local knowledge of experts and stakeholders. These differences could support decision makers in improving health planning and in tackling health inequalities in more deprived areas.

  6. Comparing Classic and Interval Analytical Hierarchy Process Methodologies for Measuring Area-Level Deprivation to Analyze Health Inequalities

    PubMed Central

    Cabrera-Barona, Pablo

    2018-01-01

    Deprivation indices are useful measures to study health inequalities. Different techniques are commonly applied to construct deprivation indices, including multi-criteria decision methods such as the analytical hierarchy process (AHP). The multi-criteria deprivation index for the city of Quito is an index in which indicators are weighted by applying the AHP. In this research, a variation of this index is introduced that is calculated using interval AHP methodology. Both indices are compared by applying logistic generalized linear models and multilevel models, considering self-reported health as the dependent variable and deprivation and self-reported quality of life as the independent variables. The obtained results show that the multi-criteria deprivation index for the city of Quito is a meaningful measure to assess neighborhood effects on self-reported health and that the alternative deprivation index using the interval AHP methodology more thoroughly represents the local knowledge of experts and stakeholders. These differences could support decision makers in improving health planning and in tackling health inequalities in more deprived areas. PMID:29337915

  7. Neighborhood-Level Racial/Ethnic Residential Segregation and Incident Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis

    PubMed Central

    Kershaw, Kiarri N.; Osypuk, Theresa L.; Do, D. Phuong; De Chavez, Peter J.; Roux, Ana V. Diez

    2014-01-01

    Background Previous research suggests neighborhood-level racial/ethnic residential segregation is linked to health, but it has not been studied prospectively in relation to cardiovascular disease (CVD). Methods and Results Participants were 1,595 non-Hispanic Black, 2,345 non-Hispanic White, and 1,289 Hispanic adults from the Multi-Ethnic Study of Atherosclerosis free of CVD at baseline (ages 45-84). Own-group racial/ethnic residential segregation was assessed using the Gi∗ statistic, a measure of how the neighborhood racial/ethnic composition deviates from surrounding counties’ racial/ethnic composition. Multivariable Cox proportional hazards modeling was used to estimate hazard ratios (HR) for incident CVD (first definite angina, probable angina followed by revascularization, myocardial infarction, resuscitated cardiac arrest, CHD death, stroke, or stroke death) over 10.2 median years of follow-up. Among Blacks, each standard deviation increase in Black segregation was associated with a 12% higher hazard of developing CVD after adjusting for demographics (95% Confidence Interval (CI): 1.02, 1.22). This association persisted after adjustment for neighborhood-level characteristics, individual socioeconomic position, and CVD risk factors (HR: 1.12; 95% CI: 1.02, 1.23). For Whites, higher White segregation was associated with lower CVD risk after adjusting for demographics (HR: 0.88; 95% CI: 0.81, 0.96), but not after further adjustment for neighborhood characteristics. Segregation was not associated with CVD risk among Hispanics. Similar results were obtained after adjusting for time-varying segregation and covariates. Conclusions The association of residential segregation with cardiovascular risk varies according to race/ethnicity. Further work is needed to better characterize the individual- and neighborhood-level pathways linking segregation to CVD risk. PMID:25447044

  8. Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study: research design and methodology.

    PubMed

    Badland, Hannah M; Schofield, Grant M; Witten, Karen; Schluter, Philip J; Mavoa, Suzanne; Kearns, Robin A; Hinckson, Erica A; Oliver, Melody; Kaiwai, Hector; Jensen, Victoria G; Ergler, Christina; McGrath, Leslie; McPhee, Julia

    2009-07-10

    Built environment attributes are recognized as being important contributors to physical activity (PA) engagement and body size in adults and children. However, much of the existing research in this emergent public health field is hindered by methodological limitations, including: population and site homogeneity, reliance on self-report measures, aggregated measures of PA, and inadequate statistical modeling. As an integral component of multi-country collaborative research, the Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study seeks to overcome these limitations by determining the strengths of association between detailed measures of the neighborhood built environment with PA levels across multiple domains and body size measures in adults and children. This article outlines the research protocol developed for the URBAN Study. The URBAN Study is a multi-centered, stratified, cross-sectional research design, collecting data across four New Zealand cities. Within each city, 12 neighborhoods were identified and selected for investigation based on higher or lower walkability and Māori demographic attributes. Neighborhoods were selected to ensure equal representation of these characteristics. Within each selected neighborhood, 42 households are being randomly selected and an adult and child (where possible) recruited into the study. Data collection includes: objective and self-reported PA engagement, neighborhood perceptions, demographics, and body size measures. The study was designed to recruit approximately 2,000 adults and 250 children into the project. Other aspects of the study include photovoice, which is a qualitative assessment of built environment features associated with PA engagement, an audit of the neighborhood streetscape environment, and an individualized neighborhood walkability profile centered on each participant's residential address. Multilevel modeling will be used to examine the individual-level and neighborhood-level relationships with PA engagement and body size. The URBAN Study is applying a novel scientifically robust research design to provide urgently needed epidemiological information regarding the associations between the built environment and health outcomes. The findings will contribute to a larger, international initiative in which similar neighborhood selection and PA measurement procedures are utilized across eight countries. Accordingly, this study directly addresses the international priority issues of increasing PA engagement and decreasing obesity levels.

  9. Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study: research design and methodology

    PubMed Central

    Badland, Hannah M; Schofield, Grant M; Witten, Karen; Schluter, Philip J; Mavoa, Suzanne; Kearns, Robin A; Hinckson, Erica A; Oliver, Melody; Kaiwai, Hector; Jensen, Victoria G; Ergler, Christina; McGrath, Leslie; McPhee, Julia

    2009-01-01

    Background Built environment attributes are recognized as being important contributors to physical activity (PA) engagement and body size in adults and children. However, much of the existing research in this emergent public health field is hindered by methodological limitations, including: population and site homogeneity, reliance on self-report measures, aggregated measures of PA, and inadequate statistical modeling. As an integral component of multi-country collaborative research, the Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study seeks to overcome these limitations by determining the strengths of association between detailed measures of the neighborhood built environment with PA levels across multiple domains and body size measures in adults and children. This article outlines the research protocol developed for the URBAN Study. Methods and design The URBAN Study is a multi-centered, stratified, cross-sectional research design, collecting data across four New Zealand cities. Within each city, 12 neighborhoods were identified and selected for investigation based on higher or lower walkability and Māori demographic attributes. Neighborhoods were selected to ensure equal representation of these characteristics. Within each selected neighborhood, 42 households are being randomly selected and an adult and child (where possible) recruited into the study. Data collection includes: objective and self-reported PA engagement, neighborhood perceptions, demographics, and body size measures. The study was designed to recruit approximately 2,000 adults and 250 children into the project. Other aspects of the study include photovoice, which is a qualitative assessment of built environment features associated with PA engagement, an audit of the neighborhood streetscape environment, and an individualized neighborhood walkability profile centered on each participant's residential address. Multilevel modeling will be used to examine the individual-level and neighborhood-level relationships with PA engagement and body size. Discussion The URBAN Study is applying a novel scientifically robust research design to provide urgently needed epidemiological information regarding the associations between the built environment and health outcomes. The findings will contribute to a larger, international initiative in which similar neighborhood selection and PA measurement procedures are utilized across eight countries. Accordingly, this study directly addresses the international priority issues of increasing PA engagement and decreasing obesity levels. PMID:19589175

  10. A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use.

    PubMed

    Fagan, Abigail A; Wright, Emily M; Pinchevsky, Gillian M

    2015-08-01

    This paper examined the effects of neighborhood structural (i.e., economic disadvantage, immigrant concentration, residential stability) and social (e.g., collective efficacy, social network interactions, intolerance of drug use, legal cynicism) factors on the likelihood of any adolescent tobacco, alcohol, and marijuana use. Analyses drew upon information from the Project on Human Development in Chicago Neighborhoods (PHDCN). Data were obtained from a survey of adult residents of 79 Chicago neighborhoods, two waves of interviews with 1657 to 1664 care-givers and youth aged 8 to 16 years, and information from the 1990 U.S. Census Bureau. Hierarchical Bernoulli regression models estimated the impact of neighborhood factors on substance use controlling for individual-level demographic characteristics and psycho-social risk factors. Few neighborhood factors had statistically significant direct effects on adolescent tobacco, alcohol or marijuana use, although youth living in neighborhoods with greater levels of immigrant concentration were less likely to report any drinking. Additional theorizing and more empirical research are needed to better understand the ways in which contextual influences affect adolescent substance use and delinquency. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  11. A Multi-level Analysis of the Impact of Neighborhood Structural and Social Factors on Adolescent Substance Use

    PubMed Central

    Wright, Emily M.; Pinchevsky, Gillian M.

    2015-01-01

    Background This paper examined the effects of neighborhood structural (i.e., economic disadvantage, immigrant concentration, residential stability) and social (e.g., collective efficacy, social network interactions, intolerance of drug use, legal cynicism) factors on the likelihood of any adolescent tobacco, alcohol, and marijuana use. Methods Analyses drew upon information from the Project on Human Development in Chicago Neighborhoods (PHDCN). Data were obtained from a survey of adult residents of 79 Chicago neighborhoods, two waves of interviews with 1,657 to 1,664 care-givers and youth aged 8 to 16 years, and information from the 1990 U.S. Census Bureau. Hierarchical Bernoulli regression models estimated the impact of neighborhood factors on substance use controlling for individual-level demographic characteristics and psycho-social risk factors. Results Few neighborhood factors had statistically significant direct effects on adolescent tobacco, alcohol or marijuana use, although youth living in neighborhoods with greater levels of immigrant concentration were less likely to report any drinking. Conclusion Additional theorizing and more empirical research are needed to better understand the ways in which contextual influences affect adolescent substance use and delinquency. PMID:26049206

  12. Framing Ethnic Variations in Alcohol Outcomes from Biological Pathways to Neighborhood Context

    PubMed Central

    Chartier, Karen G.; Scott, Denise M.; Wall, Tamara L.; Covault, Jonathan; Karriker-Jaffe, Katherine J.; Mills, Britain A.; Luczak, Susan E.; Caetano, Raul; Arroyo, Judith A.

    2013-01-01

    Health disparities research seeks to eliminate disproportionate negative health outcomes experienced in some racial/ethnic minority groups. This brief review presents findings on factors associated with drinking and alcohol-related problems in racial/ethnic groups. Those discussed are: 1) biological pathways to alcohol problems, 2) gene by stress interactions, 3) neighborhood disadvantage, stress, and access to alcohol, and 4) drinking cultures and contexts. These factors and their interrelationships are complex, requiring a multi-level perspective. The use of interdisciplinary teams and an epigenetic focus are suggested to move the research forward. The application of multi-level research to policy, prevention, and intervention programs may help prioritize combinations of the most promising intervention targets. PMID:24483624

  13. Neighborhood socio-environmental vulnerability and infant mortality in Hermosillo, Sonora.

    PubMed

    Lara-Valencia, Francisco; Álvarez-Hernández, Gerardo; Harlow, Siobán D; Denman, Catalina; García-Pérez, Hilda

    2012-01-01

    This paper explores the impact of contextual variables at the neighborhood level on a health marker in the city of Hermosillo, Mexico and discusses the importance of collaboration between planners and health professional to minimize the negative effect of contextual factors on urban health. Few studies in Mexico have assessed health outcomes at the intra-urban scale and their interaction with neighborhood-level contextual variables. Using spatial analysis and geographical information systems, the paper explores the association between infant mortality and an index of socio-environmental vulnerability used to measure urban contextual factors. Two high infant mortality clusters were detected within neighborhoods characterized by relatively good environmental conditions and one in a neighborhood with a poor environment. Our results show the clustering of high infant mortality areas and some association with built environment factors in Hermosillo. The results support the need to reconnect public health and urban planning as a way to create healthier environments in Mexican cities.

  14. Drinking Patterns and Alcohol Use Disorders in São Paulo, Brazil: The Role of Neighborhood Social Deprivation and Socioeconomic Status

    PubMed Central

    Anthony, James C.; Saito, Luis Paulo; de Andrade, Arthur Guerra; Kutschenko, Andressa; Viana, Maria Carmen; Wang, Yuan-Pang; Martins, Silvia S.; Andrade, Laura Helena

    2014-01-01

    Background Research conducted in high-income countries has investigated influences of socioeconomic inequalities on drinking outcomes such as alcohol use disorders (AUD), however, associations between area-level neighborhood social deprivation (NSD) and individual socioeconomic status with these outcomes have not been explored in Brazil. Thus, we investigated the role of these factors on drink-related outcomes in a Brazilian population, attending to male-female variations. Methods A multi-stage area probability sample of adult household residents in the São Paulo Metropolitan Area was assessed using the WHO Composite International Diagnostic Interview (WMH-CIDI) (n = 5,037). Estimation focused on prevalence and correlates of past-year alcohol disturbances [heavy drinking of lower frequency (HDLF), heavy drinking of higher frequency (HDHF), abuse, dependence, and DMS-5 AUD] among regular users (RU); odds ratio (OR) were obtained. Results Higher NSD, measured as an area-level variable with individual level variables held constant, showed an excess odds for most alcohol disturbances analyzed. Prevalence estimates for HDLF and HDHF among RU were 9% and 20%, respectively, with excess odds in higher NSD areas; schooling (inverse association) and low income were associated with male HDLF. The only individual-level association with female HDLF involved employment status. Prevalence estimates for abuse, dependence, and DSM-5 AUD among RU were 8%, 4%, and 8%, respectively, with excess odds of: dependence in higher NSD areas for males; abuse and AUD for females. Among RU, AUD was associated with unemployment, and low education with dependence and AUD. Conclusions Regular alcohol users with alcohol-related disturbances are more likely to be found where area-level neighborhood characteristics reflect social disadvantage. Although we cannot draw inferences about causal influence, the associations are strong enough to warrant future longitudinal alcohol studies to explore causal mechanisms related to the heterogeneous patterns of association and male-female variations observed herein. Hopefully, these findings may help guide future directions for public health. PMID:25272008

  15. Social Capital and Fear of Crime in Adolescence: A Multilevel Study.

    PubMed

    Vieno, Alessio; Lenzi, Michela; Roccato, Michele; Russo, Silvia; Monaci, Maria Grazia; Scacchi, Luca

    2016-09-01

    Hierarchical linear modeling was used to examine the relationships between social capital (at the individual, the neighborhood, and the regional levels) and adolescents' fear of crime, while controlling for the main individual (sociodemographics, television viewing, and bullying victimization), neighborhood (neighborhood size and aggregated victimization), and regional (crime rate and level of urbanization) variables. Data were analyzed using a three-level model based on 22,639 15.7-year-old (SD = 0.67) students nested within 1081 neighborhoods and 19 Italian regions. The findings revealed that individual and contextual measures of social capital, modeled at the individual, neighborhood, and regional levels simultaneously, showed negative associations with adolescents' fear of crime. Males and participants with higher family affluence were less likely to feel fear of crime, whereas victimization, both at the individual and neighborhood levels, had a positive association with fear of crime. Strengths, limitations, and potential applications of the study are discussed. © Society for Community Research and Action 2016.

  16. Girls' self-efficacy in the context of neighborhood gender stratification.

    PubMed

    Soller, Brian; Jackson, Aubrey L

    2018-05-01

    Scholars have linked neighborhood characteristics to self-efficacy, but few have considered how gender factors into this association. We integrate literature on neighborhoods, gender stratification, and self-efficacy to examine the association between women's relative resources among neighborhood residents and adolescents' self-efficacy. We hypothesize that girls report more self-efficacy when they reside in neighborhoods where women have more socioeconomic resources relative to men. We test this hypothesis using data from the Project on Human Development in Chicago Neighborhoods and the 1990 Census. Results from multilevel regression models with gender-interacted effects indicate the neighborhood level of women's relative resources was not associated with boys' self-efficacy. However, girls reported higher self-efficacy when women's relative resources in their neighborhoods were greater. This association persisted after including potential individual- and neighborhood-level confounding variables. Our study underscores the importance of attending to gendered processes when understanding how neighborhoods impact youth. Copyright © 2018. Published by Elsevier Inc.

  17. Active living neighborhoods: is neighborhood walkability a key element for Belgian adolescents?

    PubMed

    De Meester, Femke; Van Dyck, Delfien; De Bourdeaudhuij, Ilse; Deforche, Benedicte; Sallis, James F; Cardon, Greet

    2012-01-04

    In adult research, neighborhood walkability has been acknowledged as an important construct among the built environmental correlates of physical activity. Research into this association has only recently been extended to adolescents and the current empirical evidence is not consistent. This study investigated whether neighborhood walkability and neighborhood socioeconomic status (SES) are associated with physical activity among Belgian adolescents and whether the association between neighborhood walkability and physical activity is moderated by neighborhood SES and gender. In Ghent (Belgium), 32 neighborhoods were selected based on GIS-based walkability and SES derived from census data. In total, 637 adolescents (aged 13-15 year, 49.6% male) participated in the study. Physical activity was assessed using accelerometers and the Flemish Physical Activity Questionnaire. To analyze the associations between neighborhood walkability, neighborhood SES and individual physical activity, multivariate multi-level regression analyses were conducted. Only in low-SES neighborhoods, neighborhood walkability was positively associated with accelerometer-based moderate to vigorous physical activity and the average activity level expressed in counts/minute. For active transport to and from school, cycling for transport during leisure time and sport during leisure time no association with neighborhood walkability nor, with neighborhood SES was found. For walking for transport during leisure time a negative association with neighborhood SES was found. Gender did not moderate the associations of neighborhood walkability and SES with adolescent physical activity. Neighborhood walkability was related to accelerometer-based physical activity only among adolescent boys and girls living in low-SES neighborhoods. The relation of built environment to adolescent physical activity may depend on the context.

  18. Active living neighborhoods: is neighborhood walkability a key element for Belgian adolescents?

    PubMed Central

    2012-01-01

    Background In adult research, neighborhood walkability has been acknowledged as an important construct among the built environmental correlates of physical activity. Research into this association has only recently been extended to adolescents and the current empirical evidence is not consistent. This study investigated whether neighborhood walkability and neighborhood socioeconomic status (SES) are associated with physical activity among Belgian adolescents and whether the association between neighborhood walkability and physical activity is moderated by neighborhood SES and gender. Methods In Ghent (Belgium), 32 neighborhoods were selected based on GIS-based walkability and SES derived from census data. In total, 637 adolescents (aged 13-15 year, 49.6% male) participated in the study. Physical activity was assessed using accelerometers and the Flemish Physical Activity Questionnaire. To analyze the associations between neighborhood walkability, neighborhood SES and individual physical activity, multivariate multi-level regression analyses were conducted. Results Only in low-SES neighborhoods, neighborhood walkability was positively associated with accelerometer-based moderate to vigorous physical activity and the average activity level expressed in counts/minute. For active transport to and from school, cycling for transport during leisure time and sport during leisure time no association with neighborhood walkability nor, with neighborhood SES was found. For walking for transport during leisure time a negative association with neighborhood SES was found. Gender did not moderate the associations of neighborhood walkability and SES with adolescent physical activity. Conclusions Neighborhood walkability was related to accelerometer-based physical activity only among adolescent boys and girls living in low-SES neighborhoods. The relation of built environment to adolescent physical activity may depend on the context. PMID:22216923

  19. The Role of Neighborhood Ecological Assets and Activity Involvement in Youth Developmental Outcomes: Differential Impacts of Asset Poor and Asset Rich Neighborhoods

    ERIC Educational Resources Information Center

    Urban, Jennifer Brown; Lewin-Bizan, Selva; Lerner, Richard M.

    2009-01-01

    Developmental system theories recognize that variables from multiple levels of organization within the bioecology of human development contribute to adolescent development, including individual factors, family factors and the neighborhood which includes extracurricular activities. Extracurricular activities provide a context for youth development,…

  20. The price of access: capitalization of neighborhood contextual factors

    PubMed Central

    2013-01-01

    Background Studies of neighborhood context on health behavior have not considered that the health benefits of context may be ‘capitalized’ into, or included in, higher housing values. This study examines the associations of better neighborhood context with neighborhood housing values. Methods We use the third wave of Add Health (2000-2001) to estimate the association of neighborhood contextual variables and housing values first across then within income types. This is a census block group-level analysis. Results We find that neighborhood context, especially access to fruit and vegetable outlets, is capitalized into, or associated with, higher housing values. Fast food and convenience store access are associated with lower housing values. Capitalization differs by income quartile of the neighborhood. Even those in the poorest neighborhoods value access to fresh fruits and vegetables, and those in the wealthier neighborhoods value activity resources. All neighborhood incomes types place negative value on fast food access and convenience store access. Conclusions Access to health-related contextual attributes is capitalized into higher housing prices. Access to fresh fruits and vegetables is valued in neighborhoods of all income levels. Modeling these associations by neighborhood income levels helps explain the mixed results in the literature on the built environment in terms of linking health outcomes to access. PMID:23927010

  1. The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey

    PubMed Central

    Piccolo, Rebecca S.; Duncan, Dustin T.; Pearce, Neil; McKinlay, John B.

    2015-01-01

    Racial/ethnic disparities in the prevalence of type 2 diabetes mellitus (T2DM) are well documented and until recently, research has focused almost exclusively on individual-based determinants as potential contributors to these disparities (health behaviors, biological/genetic factors, and individual-level sociodemographics). Research on the role of neighborhood characteristics in relation to racial/ethnic disparities in T2DM is very limited. Therefore, the aim of this research is to identify and estimate the contribution of specific aspects of neighborhoods that may be associated with racial/ethnic disparities in T2DM. Data from the Boston Area Community Health III Survey (N = 2,764) was used in this study, which is a community-based random-sample survey of adults in Boston, Massachusetts from three racial/ethnic groups (Black, Hispanic, and White). We applied two-level random intercepts logistic regression to assess the associations between race/ethnicity, neighborhood characteristics (census tract socioeconomic status, racial composition, property and violent crime, open space, geographic proximity to grocery stores, convenience stores, and fast food, and neighborhood disorder) and prevalent T2DM (fasting glucose > 125 mg/dL, HbA1c ≥ 6.5%, or self-report of a T2DM diagnosis). Black and Hispanic participants had 2.89 times and 1.48 times the odds of T2DM as White participants, respectively. Multilevel models indicated a significant between-neighborhood variance estimate of 0.943, providing evidence of neighborhood variation. Individual demographics (race/ethnicity, age and gender) explained 22.3% of the neighborhood variability in T2DM. The addition of neighborhood-level variables to the model had very little effect on the magnitude of the racial/ethnic disparities and on the between-neighborhood variability. For example, census tract poverty explained less than 1% and 6% of the excess odds of T2DM among Blacks and Hispanics and only 1.8% of the neighborhood variance in T2DM. While the findings of this study overall suggest that neighborhood factors are not a major contributor to racial/ethnic disparities in T2DM, further research is needed including data from other geographic locations. PMID:25687243

  2. Network neighborhood analysis with the multi-node topological overlap measure.

    PubMed

    Li, Ai; Horvath, Steve

    2007-01-15

    The goal of neighborhood analysis is to find a set of genes (the neighborhood) that is similar to an initial 'seed' set of genes. Neighborhood analysis methods for network data are important in systems biology. If individual network connections are susceptible to noise, it can be advantageous to define neighborhoods on the basis of a robust interconnectedness measure, e.g. the topological overlap measure. Since the use of multiple nodes in the seed set may lead to more informative neighborhoods, it can be advantageous to define multi-node similarity measures. The pairwise topological overlap measure is generalized to multiple network nodes and subsequently used in a recursive neighborhood construction method. A local permutation scheme is used to determine the neighborhood size. Using four network applications and a simulated example, we provide empirical evidence that the resulting neighborhoods are biologically meaningful, e.g. we use neighborhood analysis to identify brain cancer related genes. An executable Windows program and tutorial for multi-node topological overlap measure (MTOM) based analysis can be downloaded from the webpage (http://www.genetics.ucla.edu/labs/horvath/MTOM/).

  3. Developmental Relations Between Alcohol and Aggressive Behavior Among Adolescents: Neighborhood and Sociodemographic Correlates

    PubMed Central

    Bright, Charlotte Lyn; Jun, Hyun-Jin; Stapleton, Laura M.

    2015-01-01

    Throughout adolescence, alcohol consumption and aggressive behaviors are associated with multiple problematic outcomes. Few studies have examined neighborhood-level predictors and individual and family-level sociodemographic variables to describe longitudinal trajectories of these problem behaviors. Therefore, this study investigated the unique contributions of neighborhood and sociodemographic factors in the shared development of aggressive behaviors and drinking in adolescents. We analyzed alcohol consumption frequency and frequency of aggressive behaviors using parallel process latent growth curve models with demographic indicators and neighborhood constructs as predictors. At all ages, alcohol use and aggression positively covaried. Male gender was associated with both aggressive episodes and alcohol use at age 12. African American ethnicity was associated with higher levels of early aggression. Higher neighborhood income was associated with lower levels of early aggression. Findings lend support to current efforts to curb early initiation of alcohol use and aggression. PMID:26413037

  4. Perceived neighborhood problems: multilevel analysis to evaluate psychometric properties in a Southern adult Brazilian population

    PubMed Central

    2013-01-01

    Background Physical attributes of the places in which people live, as well as their perceptions of them, may be important health determinants. The perception of place in which people dwell may impact on individual health and may be a more telling indicator for individual health than objective neighborhood characteristics. This paper aims to evaluate psychometric and ecometric properties of a scale on the perceptions of neighborhood problems in adults from Florianopolis, Southern Brazil. Methods Individual, census tract level (per capita monthly familiar income) and neighborhood problems perception (physical and social disorders) variables were investigated. Multilevel models (items nested within persons, persons nested within neighborhoods) were run to assess ecometric properties of variables assessing neighborhood problems. Results The response rate was 85.3%, (1,720 adults). Participants were distributed in 63 census tracts. Two scales were identified using 16 items: Physical Problems and Social Disorder. The ecometric properties of the scales satisfactory: 0.24 to 0.28 for the intra-class correlation and 0.94 to 0.96 for reliability. Higher values on the scales of problems in the physical and social domains were associated with younger age, more length of time residing in the same neighborhood and lower census tract income level. Conclusions The findings support the usefulness of these scales to measure physical and social disorder problems in neighborhoods. PMID:24256619

  5. Neighborhood built environment and cognition in non-demented older adults: The Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Besser, Lilah M; Rodriguez, Daniel A; McDonald, Noreen; Kukull, Walter A; Fitzpatrick, Annette L; Rapp, Stephen R; Seeman, Teresa

    2018-03-01

    Preliminary studies suggest that neighborhood social and built environment (BE) characteristics may affect cognition in older adults. Older adults are particularly vulnerable to the neighborhood environment due to a decreasing range of routine travel with increasing age. We examined if multiple neighborhood BE characteristics are cross-sectionally associated with cognition in a diverse sample of older adults, and if the BE-cognition associations vary by individual-level demographics. The sample included 4539 participants from the Multi-Ethnic Study of Atherosclerosis. Multivariable linear regression was used to examine the associations between five BE measures and four cognitive measures, and effect modification by individual-level education and race/ethnicity. In the overall sample, increasing social destination density, walking destination density, and intersection density were associated with worse overall cognition, whereas increasing proportion of land dedicated to retail was associated with better processing speed. Effect modification results suggest that the association between urban density and worse cognition may be limited to or strongest in those of non-white race/ethnicity. Although an increase in neighborhood retail destinations was associated with better cognition in the overall sample, these results suggest that certain BE characteristics in dense urban environments may have a disproportionately negative association with cognition in vulnerable populations. However, our findings must be replicated in longitudinal studies and other regional samples. Copyright © 2018 Elsevier Ltd. All rights reserved.

  6. Racial differences in the associations of neighborhood disadvantage, exposure to violence, and criminal recidivism among female juvenile offenders.

    PubMed

    Chauhan, Preeti; Reppucci, N Dickon; Turkheimer, Eric N

    2009-01-01

    The current study examined the impact of exposure to violence and neighborhood disadvantage on criminal recidivism among Black (n = 69) and White (n = 53) female juvenile offenders. Participants were girls between the ages of 13 and 19 (M = 16.8; SD = 1.2) who were sentenced to secure custody. Using a multi-method research design, the study assessed neighborhood disadvantage through census level data, exposure to violence through self-report, and criminal recidivism through official records. Results indicated that Black girls were significantly more likely than White girls to live in disadvantaged neighborhoods, but both reported similar levels of parental physical abuse and witnessing neighborhood violence. In structural equation models, neighborhood disadvantage and witnessing neighborhood violence were indicative of future recidivism for the group as a whole. However, multiple group analyses indicated the existence of race specific pathways to recidivism. Witnessing neighborhood violence was associated with recidivism for Black girls while parental physical abuse was associated with recidivism for White girls. Results suggest that characteristics within the neighborhood play a considerable role in recidivism among female juvenile offenders generally and Black female juvenile offenders, specifically. Race specific risk models warrant further investigation, and may help lawmakers and clinicians in addressing racial disparities in the justice system. (c) 2009 John Wiley & Sons, Ltd.

  7. Multi-objective flexible job-shop scheduling problem using modified discrete particle swarm optimization.

    PubMed

    Huang, Song; Tian, Na; Wang, Yan; Ji, Zhicheng

    2016-01-01

    Taking resource allocation into account, flexible job shop problem (FJSP) is a class of complex scheduling problem in manufacturing system. In order to utilize the machine resources rationally, multi-objective particle swarm optimization (MOPSO) integrating with variable neighborhood search is introduced to address FJSP efficiently. Firstly, the assignment rules (AL) and dispatching rules (DR) are provided to initialize the population. And then special discrete operators are designed to produce new individuals and earliest completion machine (ECM) is adopted in the disturbance operator to escape the optima. Secondly, personal-best archives (cognitive memories) and global-best archive (social memory), which are updated by the predefined non-dominated archive update strategy, are simultaneously designed to preserve non-dominated individuals and select personal-best positions and the global-best position. Finally, three neighborhoods are provided to search the neighborhoods of global-best archive for enhancing local search ability. The proposed algorithm is evaluated by using Kacem instances and Brdata instances, and a comparison with other approaches shows the effectiveness of the proposed algorithm for FJSP.

  8. Trajectories of neighborhood poverty and associations with subclinical atherosclerosis and associated risk factors: the multi-ethnic study of atherosclerosis.

    PubMed

    Murray, Emily T; Diez Roux, Ana V; Carnethon, Mercedes; Lutsey, Pamela L; Ni, Hanyu; O'Meara, Ellen S

    2010-05-15

    The authors used data from the Multi-Ethnic Study of Atherosclerosis and latent trajectory class modeling to determine patterns of neighborhood poverty over 20 years (1980-2000 residential history questionnaires were geocoded and linked to US Census data). Using these patterns, the authors examined 1) whether trajectories of neighborhood poverty were associated with differences in the amount of subclinical atherosclerosis (common carotid intimal-media thickness) and 2) associated risk factors (body mass index, hypertension, diabetes, current smoking) at baseline (January 2000-August 2002). The authors found evidence of 5 stable trajectory groups with differing levels of neighborhood poverty ( approximately 6%, 12%, 20%, 30%, and 45%) and 1 group with 29% poverty in 1980 and approximately 11% in 2000. Mostly for women, higher cumulative neighborhood poverty was generally significantly associated with worse cardiovascular outcomes. Trends generally persisted after adjustment for adulthood socioeconomic position and race/ethnicity, although they were no longer statistically significant. Among women who had moved during the 20 years, the long-term measure had stronger associations with outcomes (except smoking) than a single, contemporaneous measure. Results indicate that cumulative 20-year exposure to neighborhood poverty is associated with greater cardiovascular risk for women. In residentially mobile populations, single-point-in-time measures underestimate long-term effects.

  9. A Youth Mentor-Led Nutritional Intervention in Urban Recreation Centers: A Promising Strategy for Childhood Obesity Prevention in Low-Income Neighborhoods

    ERIC Educational Resources Information Center

    Sato, Priscila M.; Steeves, Elizabeth A.; Carnell, Susan; Cheskin, Lawrence J.; Trude, Angela C.; Shipley, Cara; Mejía Ruiz, M. J.; Gittelsohn, Joel

    2016-01-01

    B'More Healthy Community for Kids (BHCK) is an ongoing multi-level intervention to prevent childhood obesity in African-American low-income neighborhoods in Baltimore city, MD. Although previous nutrition interventions involving peer mentoring of youth have been successful, there is a lack of studies evaluating the influence of cross-age peers…

  10. Predicting patriarchy: using individual and contextual factors to examine patriarchal endorsement in communities.

    PubMed

    Crittenden, Courtney A; Wright, Emily M

    2013-04-01

    In much feminist literature, patriarchy has often been studied as a predictive variable for attitudes toward or acts of violence against women. However, rarely has patriarchy been examined as an outcome across studies. The current study works toward filling this gap by examining several individual-and neighborhood-level factors that might influence patriarchy. Specifically, this research seeks to determine if neighborhood-level attributes related to socioeconomic status, family composition, and demographic information affect patriarchal views after individual-level correlates of patriarchy were controlled. Findings suggest that factors at both the individual- and neighborhood levels, particularly familial characteristics and dynamics, do influence the endorsement of patriarchal views.

  11. Contextual Correlates of Physical Activity among Older Adults: A Neighborhood Environment-Wide Association Study (NE-WAS).

    PubMed

    Mooney, Stephen J; Joshi, Spruha; Cerdá, Magdalena; Kennedy, Gary J; Beard, John R; Rundle, Andrew G

    2017-04-01

    Background: Few older adults achieve recommended physical activity levels. We conducted a "neighborhood environment-wide association study (NE-WAS)" of neighborhood influences on physical activity among older adults, analogous, in a genetic context, to a genome-wide association study. Methods: Physical Activity Scale for the Elderly (PASE) and sociodemographic data were collected via telephone survey of 3,497 residents of New York City aged 65 to 75 years. Using Geographic Information Systems, we created 337 variables describing each participant's residential neighborhood's built, social, and economic context. We used survey-weighted regression models adjusting for individual-level covariates to test for associations between each neighborhood variable and (i) total PASE score, (ii) gardening activity, (iii) walking, and (iv) housework (as a negative control). We also applied two "Big Data" analytic techniques, LASSO regression, and Random Forests, to algorithmically select neighborhood variables predictive of these four physical activity measures. Results: Of all 337 measures, proportion of residents living in extreme poverty was most strongly associated with total physical activity [-0.85; (95% confidence interval, -1.14 to -0.56) PASE units per 1% increase in proportion of residents living with household incomes less than half the federal poverty line]. Only neighborhood socioeconomic status and disorder measures were associated with total activity and gardening, whereas a broader range of measures was associated with walking. As expected, no neighborhood meaZsures were associated with housework after accounting for multiple comparisons. Conclusions: This systematic approach revealed patterns in the domains of neighborhood measures associated with physical activity. Impact: The NE-WAS approach appears to be a promising exploratory technique. Cancer Epidemiol Biomarkers Prev; 26(4); 495-504. ©2017 AACR See all the articles in this CEBP Focus section, "Geospatial Approaches to Cancer Control and Population Sciences." ©2017 American Association for Cancer Research.

  12. Neighborhood adversity, ethnic diversity, and weak social cohesion and social networks predict high rates of maternal depressive symptoms: a critical realist ecological study in South Western Sydney, Australia.

    PubMed

    Eastwood, John Graeme; Kemp, Lynn Ann; Jalaludin, Bin Badrudin; Phung, Hai Ngoc

    2013-01-01

    The aim of the study reported here is to explore ecological covariate and latent variable associations with perinatal depressive symptoms in South Western Sydney for the purpose of informing subsequent theory generation of perinatal context, depression, and the developmental origins of health and disease. Mothers (n = 15,389) delivering in 2002 and 2003 were assessed at two to three weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were Edinburgh Postnatal Depression Scale (EPDS)> 9 and > 12. Aggregated EPDS > 9 was analyzed for 101 suburbs. Suburb-level variables were drawn from the 2001 Australian Census, New South Wales Crime Statistics, and aggregated individual-level risk factors. Analysis included exploratory factor analysis, univariate and multivariate likelihood, and Bayesian linear regression with conditional autoregressive components. The exploratory factor analysis identified six factors: neighborhood adversity, social cohesion, health behaviors, housing quality, social services, and support networks. Variables associated with neighborhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. The findings support the theoretical proposition that neighborhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services.

  13. Direct and moderating effects of community context on the psychological well-being of African American women.

    PubMed

    Cutrona, C E; Russell, D W; Hessling, R M; Brown, P A; Murry, V

    2000-12-01

    The effects of community characteristics on well-being were examined among 709 African American women. Direct and moderating effects of neighborhood characteristics on distress were tested. Aggregate-level ratings of neighborhood cohesion and disorder were significantly related to distress, although the relation between cohesion and distress became nonsignificant when individual risk factors were statistically controlled. Aggregate-level neighborhood variables interacted significantly with individual risk and resource variables in the prediction of distress, consistent with trait-situation interaction theories (D. Magnusson & N. S. Endler, 1977). Community cohesion intensified the benefits of a positive life outlook. Community disorder intensified both the benefits of personal resources and the detrimental effects of personal risk factors. Results showed evidence of resilience among African American women.

  14. Direct and Moderating Effects of Community Context on the Psychological Well-Being of African American Women

    PubMed Central

    Cutrona, Carolyn E.; Russell, Daniel W.; Hessling, Robert M.; Brown, P. Adama; Murry, Velma

    2007-01-01

    The effects of community characteristics on well-being were examined among 709 African American women. Direct and moderating effects of neighborhood characteristics on distress were tested. Aggregate-level ratings of neighborhood cohesion and disorder were significantly related to distress, although the relation between cohesion and distress became nonsignificant when individual risk factors were statistically controlled. Aggregate-level neighborhood variables interacted significantly with individual risk and resource variables in the prediction of distress, consistent with trait-situation interaction theories (D. Magnusson & N. S. Endler, 1977). Community cohesion intensified the benefits of a positive life outlook. Community disorder intensified both the benefits of personal resources and the detrimental effects of personal risk factors. Results showed evidence of resilience among African American women. PMID:11138756

  15. Neighborhood influences on perceived social support among parents: findings from the project on human development in Chicago neighborhoods.

    PubMed

    Tendulkar, Shalini A; Koenen, Karestan C; Dunn, Erin C; Buka, Stephen; Subramanian, S V

    2012-01-01

    Social support is frequently linked to positive parenting behavior. Similarly, studies increasingly show a link between neighborhood residential environment and positive parenting behavior. However, less is known about how the residential environment influences parental social support. To address this gap, we examine the relationship between neighborhood concentrated disadvantage and collective efficacy and the level and change in parental caregiver perceptions of non-familial social support. The data for this study came from three data sources, the Project on Human Development in Chicago Neighborhoods (PHDCN) Study's Longitudinal Cohort Survey of caregivers and their offspring, a Community Survey of adult residents in these same neighborhoods and the 1990 Census. Social support is measured at Wave 1 and Wave 3 and neighborhood characteristics are measured at Wave 1. Multilevel linear regression models are fit. The results show that neighborhood collective efficacy is a significant (ß = .04; SE = .02; p = .03), predictor of the positive change in perceived social support over a 7 year period, however, not of the level of social support, adjusting for key compositional variables and neighborhood concentrated disadvantage. In contrast concentrated neighborhood disadvantage is not a significant predictor of either the level or change in social support. Our finding suggests that neighborhood collective efficacy may be important for inducing the perception of support from friends in parental caregivers over time.

  16. Neighborhood differences in social capital in Ghent (Belgium): a multilevel approach.

    PubMed

    Neutens, Tijs; Vyncke, Veerle; De Winter, Dieter; Willems, Sara

    2013-11-13

    Little research has focused on the spatial distribution of social capital, despite social capital's rising popularity in health research and policy. This study examines the neighborhood differences in social capital and the determinants that explain these differences. Five components of neighborhood social capital are identified by means of factor and reliability analyses using data collected in the cross-sectional SWING study from 762 inhabitants in 42 neighbourhoods in the city of Ghent (Belgium). Neighborhood differences in social capital are explored using hierarchical linear models with cross-level interactions. Significant neighborhood differences are found for social cohesion, informal social control and social support, but not for social leverage and generalized trust. Our findings suggest that neighborhood social capital depends on both characteristics of individuals living in the neighborhood (attachment to neighborhood) and characteristics of the neighborhood itself (deprivation and residential turnover). Our analysis further shows that neighborhood deprivation reinforces the negative effect of declining neighborhood attachment on social cohesion and informal social control. This study foregrounds the importance of contextual effects in encouraging neighborhood social capital. Given the importance of neighborhood-level characteristics, it can be anticipated social capital promoting initiatives are likely to be more effective when tailored to specific areas. Second, our analyses show that not all forms of social capital are influenced by contextual factors to the same extent, implying that changes in neighborhood characteristics are conducive to, say, trust while leaving social support unaffected. Finally, our analysis has demonstrated that complex interrelationships between individual- and neighborhood-level variables exist, which are often overlooked in current work.

  17. Independent Effects of Neighborhood Poverty and Psychosocial Stress on Obesity Over Time.

    PubMed

    Kwarteng, Jamila L; Schulz, Amy J; Mentz, Graciela B; Israel, Barbara A; Perkins, Denise White

    2017-12-01

    The objective of the study was to examine the independent effects of neighborhood poverty and psychosocial stress on increases in central adiposity over time. Data are from a community sample of 157 Non-Hispanic Black, Non-Hispanic White, and Hispanic adults collected in 2002-2003 and 2007-2008, and from the 2000 Decennial Census. The dependent variable was waist circumference. Independent variables included neighborhood poverty, perceived neighborhood physical environment, family stress, safety stress, everyday unfair treatment, and a cumulative stress index. Weighted 3-level hierarchical linear regression models for a continuous outcome were used to assess the effects of neighborhood poverty and psychosocial stress on central adiposity over time. We also assessed whether psychosocial stress mediated the association between neighborhood poverty and central adiposity. Neighborhood poverty and everyday unfair treatment at baseline were independently associated with increases in central adiposity over time, accounting for the other indicators of stress. Perceptions of the neighborhood physical environment and cumulative stress mediated associations between neighborhood poverty and central adiposity. Results suggest that residing in neighborhoods with higher concentrations of poverty and exposure to everyday unfair treatment independently heighten risk of increased central adiposity over time. Associations between neighborhood poverty and central adiposity were mediated by perceptions of the neighborhood physical environment and by the cumulative stress index. Public health strategies to reduce obesity should consider neighborhood poverty and exposure to multiple sources of psychosocial stress, including everyday unfair treatment.

  18. Social and Built Environmental Correlates of Predicted Blood Lead Levels in the Flint Water Crisis.

    PubMed

    Sadler, Richard Casey; LaChance, Jenny; Hanna-Attisha, Mona

    2017-05-01

    To highlight contextual factors tied to increased blood lead level (BLL) risk following the lead-in-water contamination in Flint, Michigan. Using geocoded BLL data collected in 2013 and 2015 and areal interpolation, we predicted BLLs at every residential parcel in the city. We then spatially joined social and built environmental variables to link the parcels with neighborhood-level factors that may influence BLLs. When we compared levels before and during the water crisis, we saw the highest estimates of predicted BLLs during the water crisis and the greatest changes in BLLs in neighborhoods with the longest water residence time in pipes (μ = 2.30 µg/dL; Δ = 0.45 µg/dL), oldest house age (μ = 2.22 µg/dL; Δ = 0.37 µg/dL), and poorest average neighborhood housing condition (μ = 2.18 µg/dL; Δ = 0.44 µg/dL). Key social and built environmental variables correlate with BLL; such information can continue to guide response by prioritizing older, deteriorating neighborhoods with the longest water residence time in pipes.

  19. Diving into the consumer nutrition environment: A Bayesian spatial factor analysis of neighborhood restaurant environment.

    PubMed

    Luan, Hui; Law, Jane; Lysy, Martin

    2018-02-01

    Neighborhood restaurant environment (NRE) plays a vital role in shaping residents' eating behaviors. While NRE 'healthfulness' is a multi-facet concept, most studies evaluate it based only on restaurant type, thus largely ignoring variations of in-restaurant features. In the few studies that do account for such features, healthfulness scores are simply averaged over accessible restaurants, thereby concealing any uncertainty that attributed to neighborhoods' size or spatial correlation. To address these limitations, this paper presents a Bayesian Spatial Factor Analysis for assessing NRE healthfulness in the city of Kitchener, Canada. Several in-restaurant characteristics are included. By treating NRE healthfulness as a spatially correlated latent variable, the adopted modeling approach can: (i) identify specific indicators most relevant to NRE healthfulness, (ii) provide healthfulness estimates for neighborhoods without accessible restaurants, and (iii) readily quantify uncertainties in the healthfulness index. Implications of the analysis for intervention program development and community food planning are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Schools and neighborhoods: organizational and environmental factors associated with crime in secondary schools.

    PubMed

    Limbos, Mary Ann P; Casteel, Carri

    2008-10-01

    While crime and violence in schools are derived primarily from factors external to schools, violent behavior may also be aggravated by factors in the school environment, including the physical environment, its educational and social climate, and its organizational capacity and composition. The objective of this study is to examine the effect of the school's organizational and educational environment on crime rates in secondary schools and to examine how neighborhood factors influence these relationships. School and neighborhood crime rates for 95 middle (MS) and high (HS) schools were calculated using data from the Los Angeles Unified School District (LAUSD) Police Department and Los Angeles Police Department, respectively. School-level organizational and educational variables, including the academic performance index (API), were obtained from the California Department of Education. A measure of neighborhood dilapidation was created using variables collected on a neighborhood environmental survey. Linear regression was used to examine the relationship between organizational and educational school variables and school crime rates. Community crime and dilapidation were added to the model to examine the influence of the school-community context relationships. HS had higher crime rates than MS. As the percentage of certified teachers and student to staff ratios increased, school crime decreased (p < .01). An API of below basic performance was significantly associated with increasing school crime rates (p < .05). Neighborhood crime was not significantly associated with school crime, although dilapidation was positively and significantly associated with school crime even after controlling for community crime (p < .05). Both school- and neighborhood-level factors were associated with increasing crime rates in secondary schools. School violence prevention efforts should include school and community partnerships to address these potentially modifiable factors.

  1. Neighborhood differences in social capital in Ghent (Belgium): a multilevel approach

    PubMed Central

    2013-01-01

    Background Little research has focused on the spatial distribution of social capital, despite social capital’s rising popularity in health research and policy. This study examines the neighborhood differences in social capital and the determinants that explain these differences. Methods Five components of neighborhood social capital are identified by means of factor and reliability analyses using data collected in the cross-sectional SWING study from 762 inhabitants in 42 neighbourhoods in the city of Ghent (Belgium). Neighborhood differences in social capital are explored using hierarchical linear models with cross-level interactions. Results Significant neighborhood differences are found for social cohesion, informal social control and social support, but not for social leverage and generalized trust. Our findings suggest that neighborhood social capital depends on both characteristics of individuals living in the neighborhood (attachment to neighborhood) and characteristics of the neighborhood itself (deprivation and residential turnover). Our analysis further shows that neighborhood deprivation reinforces the negative effect of declining neighborhood attachment on social cohesion and informal social control. Conclusions This study foregrounds the importance of contextual effects in encouraging neighborhood social capital. Given the importance of neighborhood-level characteristics, it can be anticipated social capital promoting initiatives are likely to be more effective when tailored to specific areas. Second, our analyses show that not all forms of social capital are influenced by contextual factors to the same extent, implying that changes in neighborhood characteristics are conducive to, say, trust while leaving social support unaffected. Finally, our analysis has demonstrated that complex interrelationships between individual- and neighborhood–level variables exist, which are often overlooked in current work. PMID:24225005

  2. Influence of Neighborhood-level Factors on Social Support in Early-stage Breast Cancer Patients and Controls

    PubMed Central

    Thompson, Tess; Rodebaugh, Thomas L.; Pérez, Maria; Struthers, Jim; Sefko, Julianne A.; Lian, Min; Schootman, Mario; Jeffe, Donna B.

    2016-01-01

    Rationale Low social support has been linked to negative health outcomes in breast cancer patients. Objective We examined associations between perceived social support, neighborhood socioeconomic deprivation, and neighborhood-level social support in early-stage breast cancer patients and controls. Methods This two-year longitudinal study in the United States included information collected from telephone interviews and clinical records of 541 early-stage patients and 542 controls recruited from 2003 to 2007. Social support was assessed using the Medical Outcomes Study Social Support Survey (MOS-SS). Residential addresses were geocoded and used to develop measures including neighborhood social support (based on MOS-SS scores from nearby controls) and neighborhood socioeconomic deprivation (a composite index of census tract characteristics). Latent trajectory models were used to determine effects of neighborhood conditions on the stable (intercept) and changing (slope) aspects of social support. Results In a model with only neighborhood variables, greater socioeconomic deprivation was associated with patients’ lower stable social support (standardized estimate = −0.12, p = .027); neighborhood-level social support was associated with social support change (standardized estimate = 0.17, p = .046). After adding individual-level covariates, there were no direct neighborhood effects on social support. In patients, neighborhood socioeconomic deprivation was associated with support indirectly through marriage, insurance status, negative affect, and general health. In controls, neighborhood socioeconomic deprivation was associated with support indirectly through marriage (p < .05). Conclusion Indirect effects of neighborhood socioeconomic deprivation on social support differed in patients and controls. Psychosocial and neighborhood interventions may help patients with low social support, particularly patients without partnered relationships in deprived areas. PMID:27017091

  3. Influence of neighborhood-level factors on social support in early-stage breast cancer patients and controls.

    PubMed

    Thompson, Tess; Rodebaugh, Thomas L; Pérez, Maria; Struthers, James; Sefko, Julianne A; Lian, Min; Schootman, Mario; Jeffe, Donna B

    2016-05-01

    Low social support has been linked to negative health outcomes in breast cancer patients. We examined associations between perceived social support, neighborhood socioeconomic deprivation, and neighborhood-level social support in early-stage breast cancer patients and controls. This two-year longitudinal study in the United States included information collected from telephone interviews and clinical records of 541 early-stage patients and 542 controls recruited from 2003 to 2007. Social support was assessed using the Medical Outcomes Study Social Support Survey (MOS-SS). Residential addresses were geocoded and used to develop measures including neighborhood social support (based on MOS-SS scores from nearby controls) and neighborhood socioeconomic deprivation (a composite index of census tract characteristics). Latent trajectory models were used to determine effects of neighborhood conditions on the stable (intercept) and changing (slope) aspects of social support. In a model with only neighborhood variables, greater socioeconomic deprivation was associated with patients' lower stable social support (standardized estimate = -0.12, p = 0.027); neighborhood-level social support was associated with social support change (standardized estimate = 0.17, p = 0.046). After adding individual-level covariates, there were no direct neighborhood effects on social support. In patients, neighborhood socioeconomic deprivation was associated with support indirectly through marriage, insurance status, negative affect, and general health. In controls, neighborhood socioeconomic deprivation was associated with support indirectly through marriage (p < 0.05). Indirect effects of neighborhood socioeconomic deprivation on social support differed in patients and controls. Psychosocial and neighborhood interventions may help patients with low social support, particularly patients without partnered relationships in deprived areas. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Perception of built environmental factors and physical activity among adolescents in Nigeria

    PubMed Central

    2014-01-01

    Background Understanding environmental factors related to adolescents’ physical activity can inform intervention for obesity control and prevention, but virtually no study has been conducted in the African region, where adolescents’ physical inactivity and chronic diseases rates are rising. This study assessed associations between perceived built environmental variables and adolescents’ physical activity (active transportation to school and leisure-time moderate-to- vigorous physical activity), and the moderating effects of neighborhood-level income on association between environmental variables and physical activity among Nigerian boys and girls. Methods Participants were 1006 adolescents (12–19 years, 50.4% girls) randomly selected from 11 secondary schools in Maiduguri city, Nigeria. Physical activity and perceptions of environmental characteristics were assessed by validated self-report questionnaires. Separate gender-based, hierarchical multiple moderated linear regression analyses were used to examine the direct associations between the environmental perceptions and physical activity variables (active transportation and leisure-time MVPA; dependent variables), as well as the moderating effects of neighborhood-level income. Results Only in boys were direct associations and interaction effect of neighborhood-level income found. Access to destinations was positively associated with active transportation to school (β = 0.18; CI = 0.67, 2.24); while residential density (β = 0.10; CI = 0.01, 1.74) and availability/quality of infrastructures (β = 0.14; CI = 0.49, 2.68) were positively associated with leisure-time MVPA. Also, neighborhood-level income moderated the association between perceived safety and leisure-time MVPA, with more perceived safety related to less MVPA (β = -0.16; CI = -0.01, -0.70) in boys living in high SES neighborhood but marginally related to more MVPA (β = 0.11; CI = -0.04, 2.88, p = 0.06) in boys living in low SES neighborhood. Conclusions Few environmental attributes were associated with adolescents’ physical activity in Nigeria. Future studies are needed to determine the multidimensional correlates of physical activity that may be relevant for both adolescents’ boys and girls in Nigeria. PMID:24766710

  5. Neighborhood Environments and Objectively Measured Physical Activity in 11 Countries

    PubMed Central

    Cerin, Ester; Cain, Kelli L; Conway, Terry L; Dyck, Delfien Van; Hinckson, Erica; Schipperijn, Jasper; Bourdeaudhuij, Ilse De; Owen, Neville; Davey, Rachel C; Hino, Adriano Akira Ferreira; Mitáš, Josef; Orzanco-Garralda, Rosario; Salvo, Deborah; Sarmiento, Olga L; Christiansen, Lars B; Macfarlane, Duncan J; Schofield, Grant; Sallis, James F

    2014-01-01

    Purpose Environmental changes are potentially effective population-level physical activity (PA) promotion strategies. However, robust multi-site evidence to guide international action for developing activity-supportive environments is lacking. We estimated pooled associations of perceived environmental attributes with objectively-measured PA outcomes; between-site differences in such associations; and, the extent to which perceived environmental attributes explain between-site differences in PA. Methods This was a cross-sectional study conducted in 16 cities located in Belgium, Brazil, Colombia, Czech Republic, Denmark, China, Mexico, New Zealand, Spain, United Kingdom, and USA. Participants were 6,968 adults residing in administrative units stratified by socio-economic status and transport-related walkability. Predictors were 10 perceived neighborhood environmental attributes. Outcome measures were accelerometry-assessed weekly minutes of moderate-to-vigorous PA (MVPA) and meeting the PA guidelines for cancer/weight gain prevention (420 min/week of MVPA). Results Most perceived neighborhood attributes were positively associated with the PA outcomes in the pooled, site-adjusted, single-predictor models. Associations were generalizable across geographical locations. Aesthetics and land use mix – access were significant predictors of both PA outcomes in the fully-adjusted models. Environmental attributes accounted for within-site variability in MVPA corresponding to a 3 min/d or 21 min/week standard deviation. Large between-site differences in PA outcomes were observed: 15.9% to 16.8% of these differences were explained by perceived environmental attributes. All neighborhood attributes were associated with between-site differences in the total effects of the perceived environment on PA outcomes. Conclusions Residents’ perceptions of neighborhood attributes that facilitate walking were positively associated with objectively-measured MVPA and meeting the guidelines for cancer/weight gain prevention at the within- and between-site levels. Associations were similar across study sites, lending support for international recommendations for designing PA-friendly built environments. PMID:24781892

  6. Comparing Building and Neighborhood-Scale Variability of CO₂ and O₃ to Inform Deployment Considerations for Low-Cost Sensor System Use.

    PubMed

    Collier-Oxandale, Ashley; Coffey, Evan; Thorson, Jacob; Johnston, Jill; Hannigan, Michael

    2018-04-26

    The increased use of low-cost air quality sensor systems, particularly by communities, calls for the further development of best-practices to ensure these systems collect usable data. One area identified as requiring more attention is that of deployment logistics, that is, how to select deployment sites and how to strategically place sensors at these sites. Given that sensors are often placed at homes and businesses, ideal placement is not always possible. Considerations such as convenience, access, aesthetics, and safety are also important. To explore this issue, we placed multiple sensor systems at an existing field site allowing us to examine both neighborhood-level and building-level variability during a concurrent period for CO₂ (a primary pollutant) and O₃ (a secondary pollutant). In line with previous studies, we found that local and transported emissions as well as thermal differences in sensor systems drive variability, particularly for high-time resolution data. While this level of variability is unlikely to affect data on larger averaging scales, this variability could impact analysis if the user is interested in high-time resolution or examining local sources. However, with thoughtful placement and thorough documentation, high-time resolution data at the neighborhood level has the potential to provide us with entirely new information on local air quality trends and emissions.

  7. Neighborhood community characteristics associated with HIV disease outcomes in a cohort of urban women living with HIV.

    PubMed

    Burke-Miller, Jane K; Weber, Kathleen; Cohn, Susan E; Hershow, Ronald C; Sha, Beverly E; French, Audrey L; Cohen, Mardge H

    2016-10-01

    Recent studies have found geographic variations in immune and viral human immunodeficiency virus (HIV) disease outcomes associated with census measures of neighborhood poverty and segregation. Although readily available, such aggregate census measures are not based on health behavior models and provide limited information regarding neighborhood effect pathways. In contrast, survey-based measures can capture specific aspects of neighborhood disadvantage that may better inform community-based interventions. Therefore, the aim of this study is to assess the measurement validity of multi-dimensional survey measures of neighborhood disorder compared with census measures as predictors of HIV outcomes in a cohort of 197 low-income women in a major metropolitan area. The multi-dimensional survey measures were related to each other and to census measures of concentrated poverty and racial segregation, but not so highly correlated as to be uniform. We found notable variation between community areas in women's CD4 levels but there was no corresponding geographic variance in viral load, and relationships between community area measures and viral load disappeared after adjustment for individual characteristics, including HIV treatment adherence. In multilevel models adjusting for individual characteristics including substance use, depression, and HIV treatment adherence, one survey measure of neighborhood disadvantage (poor-quality built environment) and one census measure (racial segregation) were significantly associated with greater likelihood of CD4 < 500 (p < .05).

  8. Can economic deprivation protect health? Paradoxical multilevel effects of poverty on Hispanic children's wheezing.

    PubMed

    Collins, Timothy W; Kim, Young-an; Grineski, Sara E; Clark-Reyna, Stephanie

    2014-08-06

    Prior research suggests that economic deprivation has a generally negative influence on residents' health. We employ hierarchical logistic regression modeling to test if economic deprivation presents respiratory health risks or benefits to Hispanic children living in the City of El Paso (Texas, USA) at neighborhood- and individual-levels, and whether individual-level health effects of economic deprivation vary based on neighborhood-level economic deprivation. Data come from the US Census Bureau and a population-based survey of El Paso schoolchildren. The dependent variable is children's current wheezing, an established respiratory morbidity measure, which is appropriate for use with economically-deprived children with an increased likelihood of not receiving a doctor's asthma diagnosis. Results reveal that economic deprivation (measured based on poverty status) at both neighborhood- and individual-levels is associated with reduced odds of wheezing for Hispanic children. A sensitivity analysis revealed similar significant effects of individual- and neighborhood-level poverty on the odds of doctor-diagnosed asthma. Neighborhood-level poverty did not significantly modify the observed association between individual-level poverty and Hispanic children's wheezing; however, greater neighborhood poverty tends to be more protective for poor (as opposed to non-poor) Hispanic children. These findings support a novel, multilevel understanding of seemingly paradoxical effects of economic deprivation on Hispanic health.

  9. Can Economic Deprivation Protect Health? Paradoxical Multilevel Effects of Poverty on Hispanic Children’s Wheezing

    PubMed Central

    Collins, Timothy W.; Kim, Young-an; Grineski, Sara E.; Clark-Reyna, Stephanie

    2014-01-01

    Prior research suggests that economic deprivation has a generally negative influence on residents’ health. We employ hierarchical logistic regression modeling to test if economic deprivation presents respiratory health risks or benefits to Hispanic children living in the City of El Paso (Texas, USA) at neighborhood- and individual-levels, and whether individual-level health effects of economic deprivation vary based on neighborhood-level economic deprivation. Data come from the US Census Bureau and a population-based survey of El Paso schoolchildren. The dependent variable is children’s current wheezing, an established respiratory morbidity measure, which is appropriate for use with economically-deprived children with an increased likelihood of not receiving a doctor’s asthma diagnosis. Results reveal that economic deprivation (measured based on poverty status) at both neighborhood- and individual-levels is associated with reduced odds of wheezing for Hispanic children. A sensitivity analysis revealed similar significant effects of individual- and neighborhood-level poverty on the odds of doctor-diagnosed asthma. Neighborhood-level poverty did not significantly modify the observed association between individual-level poverty and Hispanic children’s wheezing; however, greater neighborhood poverty tends to be more protective for poor (as opposed to non-poor) Hispanic children. These findings support a novel, multilevel understanding of seemingly paradoxical effects of economic deprivation on Hispanic health. PMID:25101769

  10. Neighborhood Disadvantage and Life-Space Mobility Are Associated with Incident Falls in Community-Dwelling Older Adults.

    PubMed

    Lo, Alexander X; Rundle, Andrew G; Buys, David; Kennedy, Richard E; Sawyer, Patricia; Allman, Richard M; Brown, Cynthia J

    2016-11-01

    To determine the relationship between neighborhood-level socioeconomic characteristics, life-space mobility, and incident falls in community-dwelling older adults. Prospective, observational cohort study with a baseline in-home assessment and 6-month telephone follow-up. Central Alabama. Community-dwelling adults aged 65 and older recruited from a random sample of Medicare beneficiaries (N = 1,000). Neighborhood disadvantage was measured using a composite index derived from baseline neighborhood-level residential census tract socioeconomic variables. Data on individual-level socioeconomic characteristics, clinical variables, and life-space collected at baseline were included as covariates in a multivariate model using generalized estimating equations to assess the association with incident falls in the 6 months after baseline. Of the 940 participants who completed baseline and follow-up assessments, 126 (13%) reported one or more new falls in the 6 months after baseline. There was an independent nonlinear association between neighborhood disadvantage (according to increasing quartiles of disadvantage) and incident falls after adjusting for confounders: The lowest quartile served as reference; 2nd quartile odds ratio (OR) = 2.4, 95% confidence interval (CI) = 1.2-4.6; 3rd quartile OR = 1.9, 95% CI = 1.0-3.7; 4th quartile OR = 3.2, 95% CI = 1.7-6.0. Each 10-point decrement in life-space (OR = 1.2, 95% CI = 1.0-1.3) was associated with a higher risk of falls. Greater neighborhood disadvantage was associated with greater risk of falls. Life-space also contributes separately to fall risk. Community-dwelling older adults in disadvantaged neighborhoods, particularly those with limited mobility, may benefit from a more-rigorous assessment of their fall risk by healthcare providers. Neighborhood level socioeconomic characteristics should also be an important consideration when identifying vulnerable populations that may benefit the most from fall prevention programs. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

  11. Generating Health Estimates by Zip Code: A Semiparametric Small Area Estimation Approach Using the California Health Interview Survey.

    PubMed

    Wang, Yueyan; Ponce, Ninez A; Wang, Pan; Opsomer, Jean D; Yu, Hongjian

    2015-12-01

    We propose a method to meet challenges in generating health estimates for granular geographic areas in which the survey sample size is extremely small. Our generalized linear mixed model predicts health outcomes using both individual-level and neighborhood-level predictors. The model's feature of nonparametric smoothing function on neighborhood-level variables better captures the association between neighborhood environment and the outcome. Using 2011 to 2012 data from the California Health Interview Survey, we demonstrate an empirical application of this method to estimate the fraction of residents without health insurance for Zip Code Tabulation Areas (ZCTAs). Our method generated stable estimates of uninsurance for 1519 of 1765 ZCTAs (86%) in California. For some areas with great socioeconomic diversity across adjacent neighborhoods, such as Los Angeles County, the modeled uninsured estimates revealed much heterogeneity among geographically adjacent ZCTAs. The proposed method can increase the value of health surveys by providing modeled estimates for health data at a granular geographic level. It can account for variations in health outcomes at the neighborhood level as a result of both socioeconomic characteristics and geographic locations.

  12. Neighborhood Influences on Perceived Social Support Among Parents: Findings from the Project on Human Development in Chicago Neighborhoods

    PubMed Central

    Tendulkar, Shalini A.; Koenen, Karestan C.; Dunn, Erin C.; Buka, Stephen; Subramanian, S. V.

    2012-01-01

    Background Social support is frequently linked to positive parenting behavior. Similarly, studies increasingly show a link between neighborhood residential environment and positive parenting behavior. However, less is known about how the residential environment influences parental social support. To address this gap, we examine the relationship between neighborhood concentrated disadvantage and collective efficacy and the level and change in parental caregiver perceptions of non-familial social support. Methodology/Principal Findings The data for this study came from three data sources, the Project on Human Development in Chicago Neighborhoods (PHDCN) Study's Longitudinal Cohort Survey of caregivers and their offspring, a Community Survey of adult residents in these same neighborhoods and the 1990 Census. Social support is measured at Wave 1 and Wave 3 and neighborhood characteristics are measured at Wave 1. Multilevel linear regression models are fit. The results show that neighborhood collective efficacy is a significant (ß = .04; SE = .02; p = .03), predictor of the positive change in perceived social support over a 7 year period, however, not of the level of social support, adjusting for key compositional variables and neighborhood concentrated disadvantage. In contrast concentrated neighborhood disadvantage is not a significant predictor of either the level or change in social support. Conclusion Our finding suggests that neighborhood collective efficacy may be important for inducing the perception of support from friends in parental caregivers over time. PMID:22493683

  13. A cross-sectional study of the influence of neighborhood environment on childhood overweight and obesity: Variation by age, gender, and environment characteristics.

    PubMed

    Yang, Yong; Jiang, Yu; Xu, Yanqing; Mzayek, Fawaz; Levy, Marian

    2018-03-01

    To examine the influence of neighborhood environment on childhood overweight and obesity in Shelby County Schools, Tennessee, and whether and to what extent that influence varies by age, gender, and the specific environment characteristics. 41,283 students were surveyed covering both individual-level covariates and several objective measures of neighborhood environment. Multilevel logistic regressions were used to examine the influence of neighborhood-level variables on overweight+obesity and obesity with adjustment of individual-level covariates. Further, a stratified analysis for each of the six groups by school level and gender. For both overweight+obesity and obesity, younger children were less sensitive to neighborhood characteristics than older children, and boys are less sensitive than girls. For girls in middle and high schools, the risk of overweight+obesity and obesity were positively associated with population density, and negatively associated with percent of poverty and percent of unhealthy food. Boys' risk of overweight+obesity and obesity were positively associated with distance to park. Neighborhood environment plays an important role in childhood overweight and obesity, and the effects vary by age, gender, and the specific neighborhood characteristic. Intervention programs tailored to specific groups may be more effective than ones targeted to children as a whole. Copyright © 2018 Elsevier Inc. All rights reserved.

  14. Ecodevelopmental contexts for preventing type 2 diabetes in Latino and other racial/ethnic minority populations

    PubMed Central

    Shaibi, Gabriel Q.; Boehm-Smith, Edna

    2009-01-01

    Diabetes is the sixth leading cause of death in the United States and it is now cited along with obesity as a global epidemic. Significant racial/ethnic disparities exist in the prevalence of diabetes within the US, with racial and ethnic minorities disproportionately affected by type 2 diabetes and its complications. Racial/ethnic and socioeconomic factors influence the development and course of diabetes at multiple levels, including genetic, individual, familial, community and national. From an ecodevelopmental perspective, cultural variables assessed at one level (e.g., family level dietary practices) may interact with other types of variables examined at other levels (e.g., the availability of healthy foods within a low-income neighborhood), thus prompting the need for a clear analysis of these systemic relationships as they may increase risks for disease. Therefore, the need exists for models that aid in “mapping out” these relationships. A more explicit conceptualization of such multi-level relationships would aid in the design of culturally relevant interventions that aim to maximize effectiveness when applied with Latinos and other racial/ethnic minority groups. This paper presents an expanded ecodevelopmental model intended to serve as a tool to aid in the design of multi-level diabetes prevention interventions for application with racial/ethnic minority populations. This discussion focuses primarily on risk factors and prevention intervention in Latino populations, although with implications for other racial/ethnic minority populations that are also at high risk for type 2 diabetes. PMID:19101788

  15. Neighborhood walkability and walking behavior: the moderating role of action orientation.

    PubMed

    Friederichs, Stijn A H; Kremers, Stef P J; Lechner, Lilian; de Vries, Nanne K

    2013-05-01

    In promoting physical activity, it is important to gain insight into environmental factors that facilitate or hinder physical activity and factors that may influence this environment-behavior relationship. As the personality factor of action orientation reflects an individual's capacity to regulate behavior it may act as a moderator in the environment-behavior relationship. The current study addressed the relationship between neighborhood walkability and walking behavior and the influence of action orientation on this relationship. Three hundred and forty-seven Dutch inhabitants [mean age 43.1 (SD 17.1)] completed a web based questionnaire assessing demographic variables, neighborhood walkability (Neighborhood Environment Walkability Scale), variables of the Theory of Planned Behavior, action orientation, and walking behavior. The results show that high levels of neighborhood walkability are positively associated with walking behavior and that this influence is largely unmediated by cognitive processes. A positive influence of neighborhood walkability on walking behavior was identified in the action-oriented subpopulation, whereas in the state-oriented part of the population, this influence was absent. The findings suggest that the influence of neighborhood environment on walking behavior has a relatively large unconscious, automatic component. In addition, the results suggest that the walkability-walking relationship is moderated by action orientation.

  16. Neighborhood Prices of Healthier and Unhealthier Foods and Associations with Diet Quality: Evidence from the Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Kern, David M; Auchincloss, Amy H; Stehr, Mark F; Roux, Ana V Diez; Moore, Latetia V; Kanter, Genevieve P; Robinson, Lucy F

    2017-11-16

    It is known that the price of food influences the purchasing and consumption decisions of individuals; however, little work has examined if the price of healthier food relative to unhealthier food in an individual's neighborhood is associated with overall dietary quality while using data from multiple regions in the United States. Cross-sectional person-level data came from The Multi-Ethnic Study of Atherosclerosis (exam 5, 2010-2012 n = 2765); a food frequency questionnaire assessed diet. Supermarket food/beverage prices came from Information Resources Inc. (n = 794 supermarkets). For each individual, the average price of select indicators of healthier foods (vegetables, fruits, dairy) and unhealthier foods (soda, sweets, salty snacks), as well as their ratio, was computed for supermarkets within three miles of the person's residential address. Logistic regression estimated odds ratios of a high-quality diet (top quintile of Healthy Eating Index 2010) associated with healthy-to-unhealthy price ratio, adjusted for individual and neighborhood characteristics. Sensitivity analyses used an instrumental variable (IV) approach. Healthier foods cost nearly twice as much as unhealthier foods per serving on average (mean healthy-to-unhealthy ratio = 1.97 [SD 0.14]). A larger healthy-to-unhealthy price ratio was associated with lower odds of a high-quality diet (OR = 0.76 per SD increase in the ratio, 95% CI = [0.64-0.9]). IV analyses largely confirmed these findings although-as expected with IV adjustment-confidence intervals were wide (OR = 0.82 [0.57-1.19]). Policies to address the large price differences between healthier and unhealthy foods may help improve diet quality in the United States.

  17. Neighborhood Prices of Healthier and Unhealthier Foods and Associations with Diet Quality: Evidence from the Multi-Ethnic Study of Atherosclerosis

    PubMed Central

    Kern, David M.; Stehr, Mark F.; Diez Roux, Ana V.; Moore, Latetia V.; Kanter, Genevieve P.; Robinson, Lucy F.

    2017-01-01

    It is known that the price of food influences the purchasing and consumption decisions of individuals; however, little work has examined if the price of healthier food relative to unhealthier food in an individual’s neighborhood is associated with overall dietary quality while using data from multiple regions in the United States. Cross-sectional person-level data came from The Multi-Ethnic Study of Atherosclerosis (exam 5, 2010–2012, n = 2765); a food frequency questionnaire assessed diet. Supermarket food/beverage prices came from Information Resources Inc. (n = 794 supermarkets). For each individual, the average price of select indicators of healthier foods (vegetables, fruits, dairy) and unhealthier foods (soda, sweets, salty snacks), as well as their ratio, was computed for supermarkets within three miles of the person’s residential address. Logistic regression estimated odds ratios of a high-quality diet (top quintile of Healthy Eating Index 2010) associated with healthy-to-unhealthy price ratio, adjusted for individual and neighborhood characteristics. Sensitivity analyses used an instrumental variable (IV) approach. Healthier foods cost nearly twice as much as unhealthier foods per serving on average (mean healthy-to-unhealthy ratio = 1.97 [SD 0.14]). A larger healthy-to-unhealthy price ratio was associated with lower odds of a high-quality diet (OR = 0.76 per SD increase in the ratio, 95% CI = [0.64–0.9]). IV analyses largely confirmed these findings although—as expected with IV adjustment—confidence intervals were wide (OR = 0.82 [0.57–1.19]). Policies to address the large price differences between healthier and unhealthy foods may help improve diet quality in the United States. PMID:29144387

  18. Neighborhood racial discrimination and the development of major depression.

    PubMed

    Russell, Daniel W; Clavél, Frederick D; Cutrona, Carolyn E; Abraham, W Todd; Burzette, Rebecca G

    2018-02-01

    This study examined the impact of neighborhood racial discrimination on the development of major depressive disorder (MDD) in a sample of African American women. Participants were 499 women from Georgia and Iowa with no history of MDD who were followed for 9 to 11 years. Several neighborhood characteristics (community social disorder, community cohesion, and community racism) and individual characteristics (negative life events, financial strain, personal outlook, religious involvement, relationship quality, negative affectivity, and individual experiences of racism) were employed as predictors of whether or not the women met criteria for MDD during this period of time. In a multilevel logistic regression analysis, neighborhood-level discrimination as well as individual-level variables including the number of negative life events, financial strain, and negative affectivity were found to be significant predictors of developing MDD. Analyses of cross-level interactions indicated that the effects of neighborhood-level discrimination were moderated by the quality of individuals' relationships, such that better relationships with others served to lessen the effect of neighborhood discrimination on depression. Implications of these findings for understanding the negative effects of racial discrimination are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  19. Can neighborhoods explain racial/ethnic differences in adolescent inactivity?

    PubMed

    Richmond, Tracy K; Field, Alison E; Rich, Michael

    2007-01-01

    To determine if neighborhoods and their attributes contribute to racial/ethnic disparities in adolescent inactivity. We undertook a cross-sectional analysis of the National Longitudinal Study of Adolescent Health (n = 17,007), a nationally representative school-based study in the United States. Stratifying by gender, we used multivariate linear regression and multi-level modeling to determine whether neighborhood of residence may partially explain racial/ethnic disparities in adolescent physical inactivity, defined as hours viewing television or videos/DVDs and/or playing computer/video games each week. Participants lived in largely segregated communities. Black and Hispanic adolescent girls reported higher levels of inactivity than White adolescent girls (21 vs. 15 vs. 13 hours/week, respectively, p <0.001). Similar patterns were seen in adolescent boys, with Black adolescent males reporting a mean of 26 hours/week; Hispanic boys a mean of 20 hours/week; and White boys a mean of 17 hours/week of inactivity (p <0.001). After accounting for between-neighborhood variation, there were no residual within-neighborhood differences in inactivity between Hispanic and White adolescent girls (gamma = -0.06, p =0.93); when living in the same neighborhood Hispanic and White girls had similar levels of inactivity. Black adolescent girls and boys were found to have higher levels of inactivity no matter where they lived (gamma =7.00, p <0.001 for girls; gamma = 6.96, p <0.001 for boys). Hispanic boys had similar patterns of inactivity to White boys (gamma =-1.57, p = 0.12). In both males and females, the reported rate of violent crime in the neighborhood was associated with inactivity, despite the individual's perception of his/her neighborhood as safe not being predictive. Although inactivity varies by race/ethnicity and gender, only in Hispanic adolescent girls does neighborhood fully explain the differential use. Our findings suggest that approaches other than changing neighborhood characteristics are needed to eliminate racial/ethnic disparities in adolescent inactivity.

  20. Using Google Street View to audit neighborhood environments.

    PubMed

    Rundle, Andrew G; Bader, Michael D M; Richards, Catherine A; Neckerman, Kathryn M; Teitler, Julien O

    2011-01-01

    Research indicates that neighborhood environment characteristics such as physical disorder influence health and health behavior. In-person audit of neighborhood environments is costly and time-consuming. Google Street View may allow auditing of neighborhood environments more easily and at lower cost, but little is known about the feasibility of such data collection. To assess the feasibility of using Google Street View to audit neighborhood environments. This study compared neighborhood measurements coded in 2008 using Street View with neighborhood audit data collected in 2007. The sample included 37 block faces in high-walkability neighborhoods in New York City. Field audit and Street View data were collected for 143 items associated with seven neighborhood environment constructions: aesthetics, physical disorder, pedestrian safety, motorized traffic and parking, infrastructure for active travel, sidewalk amenities, and social and commercial activity. To measure concordance between field audit and Street View data, percentage agreement was used for categoric measures and Spearman rank-order correlations were used for continuous measures. The analyses, conducted in 2009, found high levels of concordance (≥80% agreement or ≥0.60 Spearman rank-order correlation) for 54.3% of the items. Measures of pedestrian safety, motorized traffic and parking, and infrastructure for active travel had relatively high levels of concordance, whereas measures of physical disorder had low levels. Features that are small or that typically exhibit temporal variability had lower levels of concordance. This exploratory study indicates that Google Street View can be used to audit neighborhood environments. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  1. Built Environment and Changes in Blood Pressure in Middle Aged and Older Adults

    PubMed Central

    Li, Fuzhong; Harmer, Peter; Cardinal, Bradley J.; Vongjaturapat, Naruepon

    2009-01-01

    Objective Few studies have examined interaction effects between person and environment, especially for cardiovascular disease (CVD) risk. The purpose of this study was to examine built environment characteristics and resident health behaviors as they relate to change in blood pressure, an important component of CVD. Methods Participants (N=1,145, aged 50–75 at baseline) were recruited from 120 neighborhoods in Portland, Oregon. Using a longitudinal design, we assessed changes in participants’ systolic and diastolic blood pressure from baseline to 1-year follow-up (2006–2007 to 2007–2008). Independent variables included baseline neighborhood-level measures of GIS-constructed neighborhood walkability and density of fast-food restaurants, and resident-level measures of meeting physical activity recommendations and eating fruits and vegetables. Results There was a small but significant resident-level increase in both systolic and diastolic blood pressure (P<0.001) over the 1-year observation period. A similar trend was also observed at the neighborhood level (P<0.001). Significant differences in change in blood pressure, by neighborhood walkability, were observed, with decreases in systolic and diastolic blood pressure for those living in high walkable neighborhoods (P<0.001). Neighborhoods of low walkability but with a high density of fast-food outlets and residents making visits to fast-food restaurants were significantly associated with increases in blood pressure measures over time. The negative effect of fast-food restaurants on blood pressure was diminished among high-walkable neighborhoods, with benefits observed among residents meeting guidelines for physical activity and eating fruits and vegetables. Conclusions Neighborhoods with high walkability may ameliorate the risk of hypertension at the community level and promotion of neighborhood walkability could play a significant role in improving population health and reducing CVD risk. PMID:19297686

  2. The association between neighborhood social capital and self-reported dentate status in elderly Japanese--the Ohsaki Cohort 2006 Study.

    PubMed

    Aida, J; Kuriyama, S; Ohmori-Matsuda, K; Hozawa, A; Osaka, K; Tsuji, I

    2011-06-01

    Little is known about the influence of social capital on dental health. The aim of the present cross-sectional study was to determine the association between neighborhood social capital, individual social networks and social support and the number of remaining teeth in elderly Japanese. In December 2006, self-administered questionnaires were sent to 31,237 eligible community-dwelling individuals (response rate: 73.9%). Included in the analysis were 21,736 participants. Five neighborhood social capital variables were calculated from individual civic networks, sports and hobby networks, volunteer networks, friendship networks and social support variables. We used multilevel logistic regression models to estimate the odds ratio (OR) of having 20 or more teeth according to neighborhood social capital variables with adjustment for sex, age, individual social networks and social support, educational attainment, neighborhood educational level, dental health behavior, smoking status, history of diabetes and self-rated health. The average age of the participants was 74.9 (standard deviation; 6.6) years, and 28.5% of them had 20 or more teeth. In the univariate multilevel model, there were statistically significant associations between neighborhood sports and hobby networks, friendship networks and self-reported dentate status. In the multivariable multilevel model, compared with participants living in lowest friendship network neighborhoods, those living in highest friendship network neighborhoods had an OR 1.17 (95% confidence interval, 1.04-1.30) times higher for having 20 or more teeth. There is a significant association between one network aspect of neighborhood social capital and individual dentate status regardless of individual social networks and social support. © 2010 John Wiley & Sons A/S.

  3. Neighborhood Ethnic Diversity and Behavioral and Emotional Problems in 3 Year Olds: Results from the Generation R Study

    PubMed Central

    Flink, Ilse J. E.; Prins, Rick G.; Mackenbach, Johan J. P.; Jaddoe, Vincent W.; Hofman, Albert; Verhulst, Frank C.; Tiemeier, Henning; Raat, Hein

    2013-01-01

    Background Studies suggest that neighborhood ethnic diversity may be important when it comes to understanding ethnic inequalities in mental health. The primary aim of this study was to investigate whether neighborhood ethnic diversity moderated the association between the ethnic minority status and child behavioral and emotional problems. Methods We included 3076 preschoolers participating in the Generation R Study, a birth cohort study in Rotterdam, the Netherlands. At child age 3-years, parents completed the Child Behavior Checklist (CBCL/1,5-5). Individual-level data, assessed with questionnaires, was combined with neighborhood-level data. Multi-level logistic regression models predicted the Odds Ratios for the CBCL total problems score as a function of maternal ethnic background and neighborhood ethnic diversity, computed with the Racial Diversity Index and categorized into tertiles. Interaction on the additive scale was assessed using Relative Access Risk due to Interaction. Results Being from an ethnic minority was associated with child behavioral and emotional problems in unadjusted (OR 2.76, 95% CI 1.88–4.04) and adjusted models (OR 2.64, 95% CI 1.79–3.92). Residing in a high diversity neighborhood was associated with child behavioral and emotional problems in unadjusted (OR 2.03, 95% CI 1.13–3.64) but not in adjusted models (OR 0.89, 95% CI 0.51–1.57). When stratifying by the three levels of neighborhood ethnic diversity, ethnic inequalities in behavioral and emotional problems were greatest in low diversity neighborhoods (OR 5.24, 95%CI 2.47–11.14), smaller in high diversity neighborhoods (OR 3.15, 95% CI 1.66–5.99) and smallest in medium diversity neighborhoods (OR 1.59, 95% CI 0.90–2.82). Tests for interaction (when comparing medium to low diversity neighborhoods) trended towards negative on both the additive and multiplicative scale for the maternal-report (RERI: −3.22, 95% CI −0.70–0.59; Ratio of ORs: 0.30, 95% CI 0.12–0.76). Conclusion This study suggests that ethnic inequalities in child behavioral and emotional problems may be greatest in ethnically homogeneous neighborhoods. PMID:23967068

  4. Pre-end-stage renal disease care not associated with dialysis facility neighborhood poverty in the United States.

    PubMed

    Plantinga, Laura C; Kim, Min; Goetz, Margarethe; Kleinbaum, David G; McClellan, William; Patzer, Rachel E

    2014-01-01

    Receipt of nephrology care prior to end-stage renal disease (ESRD) is a strong predictor of decreased mortality and morbidity, and neighborhood poverty may influence access to care. Our objective was to examine whether neighborhood poverty is associated with lack of pre-ESRD care at dialysis facilities. In a multi-level ecological study using geospatially linked 2007-2010 Dialysis Facility Report and 2006-2010 American Community Survey data, we examined whether high neighborhood poverty (≥20% of households in census tract living below poverty) was associated with dialysis facility-level lack of pre-ESRD care (percentage of patients with no nephrology care prior to dialysis start) in mixed-effects models, adjusting for facility and neighborhood confounders and allowing for neighborhood and regional random effects. Among the 5,184 facilities examined, 1,778 (34.3%) were located in a high-poverty area. Lack of pre-ESRD care was similar in poverty areas (30.8%) and other neighborhoods (29.6%). With adjustment, the absolute increase in percentage of patients at a facility with no pre-ESRD care associated with facility location in a poverty area versus other neighborhood was only 0.08% (95% CI -1.32, 1.47; p = 0.9). Potential effect modification by race and income inequality was detected. Despite previously reported detrimental effects of neighborhood poverty on health, facility neighborhood poverty was not associated with receipt of pre-ESRD care, suggesting no need to target interventions to increase access to pre-ESRD care at facilities in poorer geographic areas.

  5. Pre-end-stage renal disease care not associated with dialysis facility neighborhood poverty in the United States

    PubMed Central

    Plantinga, Laura C.; Kim, Min; Goetz, Margarethe; Kleinbaum, David G.; McClellan, William; Patzer, Rachel E.

    2014-01-01

    Background Receipt of nephrology care prior to end-stage renal disease (ESRD) is a strong predictor of decreased mortality and morbidity, and neighborhood poverty may influence access to care. Our objective was to examine whether neighborhood poverty is associated with lack of pre-ESRD care at dialysis facilities. Methods In a multi-level ecological study using geospatially linked 2007-2010 Dialysis Facility Report and 2006-2010 American Community Survey data, we examined whether high neighborhood poverty (≥20% of households in census tract living below poverty) was associated with dialysis facility-level lack of pre-ESRD care (percentage of patients with no nephrology care prior to dialysis start) in mixed-effects models, adjusting for facility and neighborhood confounders and allowing for neighborhood and regional random effects. Results Among the 5184 facilities examined, 1778 (34.3%) were located in a high poverty area. Lack of pre-ESRD care was similar in poverty areas (30.8%) and other neighborhoods (29.6%). With adjustment, the absolute increase in percentage of patients at a facility with no pre-ESRD care associated with facility location in a poverty area vs. other neighborhood was only 0.08% (95% CI: -1.32%, 1.47%; P=0.9). Potential effect modification by race and income inequality was detected. Conclusion Despite previously reported detrimental effects of neighborhood poverty on health, facility neighborhood poverty was not associated with receipt of pre-ESRD care, suggesting no need to target interventions to increase access to pre-ESRD care at facilities in poorer geographic areas. PMID:24434854

  6. The Effect of Neighborhood Context on the Drug Use of American Indian Youth of the Southwest

    PubMed Central

    Yabiku, Scott T.; Rayle, Andrea Dixon; Okamoto, Scott K.; Marsiglia, Flavio F.; Kulis, Stephen

    2011-01-01

    SUMMARY This study examined neighborhood effects on the drug use of American Indian youth of the Southwest. We compared these effects with American Indian and non-American Indian youth in order to examine the universality of neighborhood disorganization as a risk factor for drug use. Neighborhood level variables included unemployment, poverty, education, and violent crime rate. Results indicated that American Indian youth were not as adversely affected by these neighborhood factors. American Indian youth may possess cultural characteristics that protect them from the adverse effects of neighborhood disorganization, including close familial relationships and ethnic pride. Culturally competent practice with American Indian youth may best be implemented through the enhancement of relational and cultural strengths as described in the literature. PMID:18192210

  7. Area-level disadvantage and alcohol use disorder in northern Mexico

    PubMed Central

    Orozco, Ricardo; Benjet, Corina; Velasco-Acosta, Silvia Ruiz; Altamirano, Laura Moreno; Karriker-Jaffe, Katherine J.; Zemore, Sarah; Cherpitel, Cheryl; Borges, Guilherme

    2017-01-01

    Background In Mexico, the Northern States are highly impacted by alcohol consumption and associated problems. Little is known about the association between contextual social disadvantage and alcohol use disorder in this region. Methods Information from 1,265 current drinkers surveyed in the U.S.-Mexico Study on Alcohol and Related Conditions (UMSARC) was combined with official data on neighborhood disadvantage (index of urban marginalization, a composite of ten indicators of area-level social disadvantage) for 302 neighborhoods. Using statistical marginal models, we estimated the association of neighborhood disadvantage with alcohol use disorder (AUD; based on DSM-5 criteria), alone and with adjustment for individual and contextual covariates. We also tested for moderation of neighborhood disadvantage effects by sex, education, internal migration and border area. Results There was a statistically significant increase in the odds of AUD of 59% (AOR=1.59; 95%CI=1.03, 2.46) for every one-point increase on the neighborhood disadvantage scale, after adjustment for covariates. A significant interaction between sex and neighborhood disadvantage was indicated by two measures of additive interaction (AP=0.55; p<0.001 and S=2.55; p<0.001), with higher neighborhood disadvantage related to higher prevalence of AUD for men but not for women. No moderation effects were observed for education, internal migration or border area. Conclusions Neighborhood disadvantage is a risk factor for AUD independent of other variables, specifically in men. Studies of contextual variables offer the possibility for understanding the role of collective circumstances on individuals in society. Future studies of alcohol use in this geographic area should consider effects of contextual determinants such as disadvantage. PMID:28456100

  8. Stress influenced trapping processes in Si based multi-quantum well structures and heavy ions implanted Si

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ciurea, Magdalena Lidia, E-mail: ciurea@infim.ro; Lazanu, Sorina, E-mail: ciurea@infim.ro

    2014-10-06

    Multi-quantum well structures and Si wafers implanted with heavy iodine and bismuth ions are studied in order to evaluate the influence of stress on the parameters of trapping centers. The experimental method of thermostimullatedcurrents without applied bias is used, and the trapping centers are filled by illumination. By modeling the discharge curves, we found in multilayered structures the parameters of both 'normal' traps and 'stress-induced' ones, the last having a Gaussian-shaped temperature dependence of the cross section. The stress field due to the presence of stopped heavy ions implanted into Si was modeled by a permanent electric field. The increasemore » of the strain from the neighborhood of I ions to the neighborhood of Bi ions produces the broadening of some energy levels and also a temperature dependence of the cross sections for all levels.« less

  9. Stress influenced trapping processes in Si based multi-quantum well structures and heavy ions implanted Si

    NASA Astrophysics Data System (ADS)

    Ciurea, Magdalena Lidia; Lazanu, Sorina

    2014-10-01

    Multi-quantum well structures and Si wafers implanted with heavy iodine and bismuth ions are studied in order to evaluate the influence of stress on the parameters of trapping centers. The experimental method of thermostimullatedcurrents without applied bias is used, and the trapping centers are filled by illumination. By modeling the discharge curves, we found in multilayered structures the parameters of both 'normal' traps and 'stress-induced' ones, the last having a Gaussian-shaped temperature dependence of the cross section. The stress field due to the presence of stopped heavy ions implanted into Si was modeled by a permanent electric field. The increase of the strain from the neighborhood of I ions to the neighborhood of Bi ions produces the broadening of some energy levels and also a temperature dependence of the cross sections for all levels.

  10. Examining the social porosity of environmental features on neighborhood sociability and attachment.

    PubMed

    Hipp, John R; Corcoran, Jonathan; Wickes, Rebecca; Li, Tiebei

    2014-01-01

    The local neighborhood forms an integral part of our lives. It provides the context through which social networks are nurtured and the foundation from which a sense of attachment and cohesion with fellow residents can be established. Whereas much of the previous research has examined the role of social and demographic characteristic in relation to the level of neighboring and cohesion, this paper explores whether particular environmental features in the neighborhood affect social porosity. We define social porosity as the degree to which social ties flow over the surface of a neighborhood. The focus of our paper is to examine the extent to which a neighborhood's environmental features impede the level of social porosity present among residents. To do this, we integrate data from the census, topographic databases and a 2010 survey of 4,351 residents from 146 neighborhoods in Australia. The study introduces the concepts of wedges and social holes. The presence of two sources of wedges is measured: rivers and highways. The presence of two sources of social holes is measured: parks and industrial areas. Borrowing from the geography literature, several measures are constructed to capture how these features collectively carve up the physical environment of neighborhoods. We then consider how this influences residents' neighboring behavior, their level of attachment to the neighborhood and their sense of neighborhood cohesion. We find that the distance of a neighborhood to one form of social hole-industrial areas-has a particularly strong negative effect on all three dependent variables. The presence of the other form of social hole-parks-has a weaker negative effect. Neighborhood wedges also impact social interaction. Both the length of a river and the number of highway fragments in a neighborhood has a consistent negative effect on neighboring, attachment and cohesion.

  11. Do neighborhood economic characteristics, racial composition, and residential stability predict perceptions of stress associated with the physical and social environment? Findings from a multilevel analysis in Detroit.

    PubMed

    Schulz, Amy J; Zenk, Shannon N; Israel, Barbara A; Mentz, Graciela; Stokes, Carmen; Galea, Sandro

    2008-09-01

    As the body of evidence linking disparities in the health of urban residents to disparate social, economic and environmental contexts grows, efforts to delineate the pathways through which broader social and economic inequalities influence health have burgeoned. One hypothesized pathway connects economic and racial and ethnic inequalities to differentials in stress associated with social and physical environments, with subsequent implications for health. Drawing on data from Detroit, Michigan, we examined contributions of neighborhood-level characteristics (e.g., poverty rate, racial and ethnic composition, residential stability) and individual-level characteristics (e.g., age, gender) to perceived social and physical environmental stress. We found that neighborhood percent African American was positively associated with perceptions of both social and physical environmental stress; neighborhood percent poverty and percent Latino were positively associated with perceived physical environmental stress; and neighborhood residential stability was negatively associated with perceived social environmental stress. At the individual level, whites perceived higher levels of both social and physical environmental stress compared to African American residents of the same block groups, after accounting for other variables included in the models. Our findings suggest the importance of understanding and addressing contributions of neighborhood structural characteristics to perceptions of neighborhood stress. The consistency of the finding that neighborhood racial composition and individual-level race influence perceptions of both social and physical environments suggests the continuing importance of understanding the role played by structural conditions and by personal and collective histories that vary systematically by race and ethnicity within the United States.

  12. Relations of Neighborhood Environment Influences, Physical Activity, and Active Transportation to/from School across African American, Latino American, and White Girls in the United States.

    PubMed

    Duncan, Susan C; Strycker, Lisa A; Chaumeton, Nigel R; Cromley, Ellen K

    2016-04-01

    Neighborhood environment influences may be particularly important for understanding physical activity (PA) patterns across ethnic subgroups of early adolescent girls. This study examined relationships between neighborhood variables, moderate to vigorous physical activity (MVPA), and active transportation to/from school across African American, Latino American, and White early adolescent girls living in an urban/suburban community in the northwestern U.S.A. Relations between the neighborhood variables across ethnic groups also were examined. The sample comprised 372 African American, Latino American, and White girls living in the U.S.A. (mean age = 12.06 years; SD = 1.69). Data were analyzed using multiple-sample structural equation modeling. Results showed that girls' MVPA was positively related to physical activity facility accessibility and negatively related to age. Active transport was positively related to physical activity facility accessibility, neighborhood walkability, and age, and negatively related to distance to the nearest school and household income. Findings highlight the importance of both perceived and objective neighborhood influences on girls' MVPA and active transport. Consistencies in findings across African American, Latino American, and White girls suggest that neighborhood-level PA promotion has the potential for broad impact across all three ethnic groups.

  13. Individual and Area Level Socioeconomic Status and Its Association with Cognitive Function and Cognitive Impairment (Low MMSE) among Community-Dwelling Elderly in Singapore.

    PubMed

    Wee, Liang En; Yeo, Wei Xin; Yang, Gui Rong; Hannan, Nazirul; Lim, Kenny; Chua, Christopher; Tan, Mae Yue; Fong, Nikki; Yeap, Amelia; Chen, Lionel; Koh, Gerald Choon-Huat; Shen, Han Ming

    2012-01-01

    Neighborhood socioeconomic status (SES) can affect cognitive function. We assessed cognitive function and cognitive impairment among community-dwelling elderly in a multi-ethnic urban low-SES Asian neighborhood and compared them with a higher-SES neighborhood. The study population involved all residents aged ≥60 years in two housing estates comprising owner-occupied housing (higher SES) and rental flats (low SES) in Singapore in 2012. Cognitive impairment was defined as <24 on the Mini Mental State Examination. Demographic/clinical details were collected via questionnaire. Multilevel linear regression was used to evaluate factors associated with cognitive function, while multilevel logistic regression determined predictors of cognitive impairment. Participation was 61.4% (558/909). Cognitive impairment was found in 26.2% (104/397) of residents in the low-SES community and in 16.1% (26/161) of residents in the higher-SES community. After adjusting for other sociodemographic variables, living in a low-SES community was independently associated with poorer cognitive function (β = -1.41, SD = 0.58, p < 0.01) and cognitive impairment (adjusted odds ratio 5.13, 95% CI 1.98-13.34). Among cognitively impaired elderly in the low-SES community, 96.2% (100/104) were newly detected. Living in a low-SES community is independently associated with cognitive impairment in an urban Asian society.

  14. The effect of neighborhood-based community organizing: results from the Seattle Minority Youth Health Project.

    PubMed

    Cheadle, A; Wagner, E; Walls, M; Diehr, P; Bell, M; Anderman, C; McBride, C; Catalano, R F; Pettigrew, E; Simmons, R; Neckerman, H

    2001-08-01

    To evaluate the effect of a community mobilization and youth development strategy to prevent drug abuse, violence, and risky sexual activity. Primary surveys of youth, parents, and key neighborhood leaders were carried out at baseline (1994) and at the end of the intervention period (1997). The study took place in four intervention and six control neighborhoods in Seattle. The study was designed as a randomized controlled trial with neighborhood as the unit of randomization. The intervention consisted of a paid community organizer in each neighborhood who recruited a group of residents to serve as a community action board. Key variables included perceptions of neighborhood mobilization by youth, parents, and key neighborhood leaders. Youth surveys were self-administered during school hours. Parent and neighborhood leader surveys were conducted over the phone by trained interviewers. Survey results showed that mobilization increased to the same degree in both intervention and control neighborhoods with no evidence of an overall intervention effect. There did appear to be a relative increase in mobilization in the neighborhood with the highest level of intervention activity. This randomized study failed to demonstrate a measurable effect for a community mobilization intervention. It is uncertain whether the negative finding was because of a lack of strength of the interventions or problems detecting intervention effects using individual-level closed-end surveys.

  15. Effects of cumulative risk on behavioral and psychological well-being in first grade: moderation by neighborhood context.

    PubMed

    Lima, Julie; Caughy, Margaret; Nettles, Saundra M; O'Campo, Patricia J

    2010-10-01

    This study builds upon existing research by examining whether risk indices for child psychological well-being behave in the same way in different types of neighborhoods. Specifically, we sought to determine if neighborhood characteristics acted to exacerbate or, alternatively, to buffer risk factors at the family and/or child level. Families with a child entering first grade in Fall 2002 were recruited from Baltimore City neighborhoods, defined as census block groups. This study included 405 children, and data came from an interview with the primary caregiver and an assessment of the first grader. The dependent variables were externalizing behavior and internalizing problems. A family risk index consisting of 13 measures, and a child risk index consisting of three measures were the main independent variables of interest. We examined the effects of these indices on child psychological well-being and behavior across two neighborhood characteristics: neighborhood potential for community involvement with children and neighborhood negative social climate. Results of multivariate analyses indicated that cumulative family risk was associated with an increase in both internalizing and externalizing behavior problems. Perceived negative social climate moderated the effect of family risks on behavior problems such that more risk was associated with a larger increment in both externalizing behavior problems and psychological problems for children living in high versus low risk neighborhoods. These findings further emphasize the importance of considering neighborhood context in the study of child psychological well-being. Copyright © 2010 Elsevier Ltd. All rights reserved.

  16. Individual- and neighborhood-level contextual factors are associated with Mycobacterium tuberculosis transmission: genotypic clustering of cases in Michigan, 2004-2012.

    PubMed

    Noppert, Grace A; Yang, Zhenhua; Clarke, Philippa; Ye, Wen; Davidson, Peter; Wilson, Mark L

    2017-06-01

    Using genotyping data of Mycobacterium tuberculosis isolates from new cases reported to the tuberculosis (TB) surveillance program, we evaluated risk factors for recent TB transmission at both the individual- and neighborhood- levels among U.S.-born and foreign-born populations. TB cases (N = 1236) reported in Michigan during 2004 to 2012 were analyzed using multivariable Poisson regression models to examine risk factors for recent transmission cross-sectionally for U.S.-born and foreign-born populations separately. Recent transmission was defined based on spoligotype and 12-locus-mycobacterial interspersed repetitive unit-variable number tandem repeat typing matches of bacteria from cases that were diagnosed within 1 year of each other. Four classes of predictor variables were examined: demographic factors, known TB risk factors, clinical characteristics, and neighborhood-level factors. Overall, 22% of the foreign-born cases resulted from recent transmission. Among the foreign-born, race and being a contact of an infectious TB case were significant predictors of recent transmission. More than half (52%) of U.S.-born cases resulted from recent transmission. Among the U.S.-born, recent transmission was predicted by both individual- and neighborhood-level sociodemographic characteristics. Interventions aimed at reducing TB incidence among foreign-born should focus on reducing reactivation of latent infection. However, reducing TB incidence among the U.S.-born will require decreasing transmission among socially disadvantaged groups at the individual- and neighborhood- levels. This report fills an important knowledge gap regarding the contemporary social context of TB in the United States, thereby providing a foundation for future studies of public health policies that can lead to the development of more targeted, effective TB control. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Are neighborhood-level characteristics associated with indoor allergens in the household?

    PubMed

    Rosenfeld, Lindsay; Rudd, Rima; Chew, Ginger L; Emmons, Karen; Acevedo-García, Dolores

    2010-02-01

    Individual home characteristics have been associated with indoor allergen exposure; however, the influence of neighborhood-level characteristics has not been well studied. We defined neighborhoods as community districts determined by the New York City Department of City Planning. We examined the relationship between neighborhood-level characteristics and the presence of dust mite (Der f 1), cat (Fel d 1), cockroach (Bla g 2), and mouse (MUP) allergens in the household. Using data from the Puerto Rican Asthma Project, a birth cohort of Puerto Rican children at risk of allergic sensitization (n = 261), we examined associations between neighborhood characteristics (percent tree canopy, asthma hospitalizations per 1,000 children, roadway length within 100 meters of buildings, serious housing code violations per 1000 rental units, poverty rates, and felony crime rates), and the presence of indoor allergens. Allergen cutpoints were used for categorical analyses and defined as follows: dust mite: >0.25 microg/g; cat: >1 microg/g; cockroach: >1 U/g; mouse: >1.6 microg/g. Serious housing code violations were statistically significantly positively associated with dust mite, cat, and mouse allergens (continuous variables), adjusting for mother's income and education, and all neighborhood-level characteristics. In multivariable logistic regression analyses, medium levels of housing code violations were associated with higher dust mite and cat allergens (1.81, 95%CI: 1.08, 3.03 and 3.10, 95%CI: 1.22, 7.92, respectively). A high level of serious housing code violations was associated with higher mouse allergen (2.04, 95%CI: 1.15, 3.62). A medium level of housing code violations was associated with higher cockroach allergen (3.30, 95%CI: 1.11, 9.78). Neighborhood-level characteristics, specifically housing code violations, appear to be related to indoor allergens, which may have implications for future research explorations and policy decisions.

  18. Trajectories of Neighborhood Attainment after Prison

    PubMed Central

    Lee, Keun Bok; Harding, David J.; Morenoff, Jeffrey D.

    2018-01-01

    A potentially important but understudied aspect of prisoner reentry is the neighborhood environments experienced by formerly incarcerated people. We know that many formerly incarcerated people return to very disadvantaged neighborhood environments and that returning to disadvantaged neighborhoods after prison increases the risk of recidivism and reduces employment. Yet very little is known about the social, economic, and institutional processes that sort formerly incarcerated people into different neighborhoods after release or their trajectories of neighborhood attainment over time. Motivated by a conceptualization of prisoner reentry and reintegration as a process that unfolds over time, we examine trajectories of neighborhood environments after release. Motivated by the literatures on neighborhood attainment, social capital, and the role of criminal justice institutions in structuring the lives of former prisoners, we examine sources of variation in neighborhood attainment. We use administrative data from the Michigan Department of Corrections on formerly incarcerated people paroled in 2003 and followed for two years after release. Descriptive results from a latent class trajectory model show that most white and black formerly incarcerated people experience flat trajectories, with little upward or downward residential mobility over time. Findings from multi-level growth curve models suggest that institutional factors are particularly important for the neighborhood attainment of whites, while human capital and social ties are particularly important for blacks. Among both blacks and whites, pre-prison and first post-prison neighborhood conditions exhibit a strong association with post-prison neighborhood attainment, although these associations are larger for blacks than whites. PMID:28705357

  19. Effect of a smoking cessation intervention for women in subsidized neighborhoods: A randomized controlled trial.

    PubMed

    Andrews, Jeannette O; Mueller, Martina; Dooley, Mary; Newman, Susan D; Magwood, Gayenell S; Tingen, Martha S

    2016-09-01

    To evaluate the effectiveness of a community based participatory research (CBPR) developed, multi-level smoking cessation intervention among women in subsidized housing neighborhoods in the Southeastern US. A total of n=409 women in 14 subsidized housing neighborhoods in Georgia and South Carolina participated in this group randomized controlled trial conducted from 2009 to 2013. Intervention neighborhoods received a 24-week intervention with 1:1 community health worker contact, behavioral peer group sessions, and nicotine replacement. Control neighborhoods received written cessation materials at weeks 1, 6, 12, 18. Random coefficient models were used to compare smoking abstinence outcomes at 6 and 12months. Significance was set a p<0.05. The majority of participants (91.2%) were retained during the 12-month intervention period. Smoking abstinence rates at 12months for intervention vs. control were 9% vs. 4.3%, p=0.05. Additional analyses accounting for passive smoke exposure in these multi-unit housing settings demonstrated 12month abstinence rates of 12% vs. 5.3%, p=0.016. However, in the multivariate regression analyses, there was no significant effect of the intervention on the odds of being a non-smoker (OR=0.44, 95% CI: 0.18-1.07). Intervention participants who kept coach visits, attended group sessions, and used patches were more likely to remain abstinent. This CBPR developed intervention showed potential to engage smokers and reduce smoking among women in these high-poverty neighborhoods. Effectiveness in promoting cessation in communities burdened with fiscal, environmental and social inequities remains a public health priority. Copyright © 2016 Elsevier Inc. All rights reserved.

  20. Does the Neighborhood Context Alter the Link between Youth's After-School Time Activities and Developmental Outcomes? A Multilevel Analysis

    ERIC Educational Resources Information Center

    Fauth, Rebecca C.; Roth, Jodie L.; Brooks-Gunn, Jeanne

    2007-01-01

    This article examines links between different measures of after-school time activity participation (5 specific activities and breadth) on youth's developmental outcomes (anxiety/depression, delinquency, and substance use) over 6 years and whether these links are moderated by neighborhood-level variables. The sample (N = 1,315) of 9- and…

  1. A tale of two cities: residential context and risky behavior among adolescents in Los Angeles and Chicago.

    PubMed

    Frank, Reanne; Bjornstrom, Eileen

    2011-01-01

    This article evaluates whether the at-risk behavior of adolescents is differentially influenced by community context across two metropolitan areas. Our focus is on Latino youth in particular. The data come from the Los Angeles Family and Neighborhood Survey (L.A.FANS) and the Project on Human Development in Chicago Neighborhoods (PHDCN). Multi-level models are employed to estimate the effects of community-level influences on adolescent risky behavior in Los Angeles and Chicago. Neighborhood-level influences on the at-risk behavior of youth are found to operate similarly across the two cities, such that native-born children of Latino immigrants are at greatest risk of problem behavior in co-ethnic highly segregated neighborhoods in both Los Angeles and Chicago. Similar patterns are observed for African-Americans, particularly in Chicago and Non-Latino Whites in both cities. We argue that the findings are best interpreted through a segregation framework. Members of each racial/ethnic group appear to exhibit negative health risk behaviors when they reside in areas that are disproportionately populated with their co-ethnic peers. Copyright © 2010 Elsevier Ltd. All rights reserved.

  2. Do psychosocial factors moderate the association between neighborhood walkability and adolescents' physical activity?

    PubMed

    De Meester, Femke; Van Dyck, Delfien; De Bourdeaudhuij, Ilse; Deforche, Benedicte; Cardon, Greet

    2013-03-01

    Ecological models emphasize the interaction between individuals and their environment. Furthermore, they posit that environmental variables influence physical activity (PA) not only directly but also indirectly through their interaction with other factors. This study explored if the association between neighborhood walkability and adolescents' PA is moderated by psychosocial factors using data from the Belgian Environmental PA Study in Youth (BEPAS-Y). BEPAS-Y recruited adolescents from 32 neighborhoods differing in objectively determined neighborhood walkability and income. Between 2008 and 2009, 637 adolescents (13-15 years; 49.4% boys) completed a survey measuring socio-demographic and psychosocial factors and wore an accelerometer for seven days. Multilevel-regression analyses revealed that for adolescents living in low-income neighborhoods, the association between neighborhood walkability and PA is moderated by perceived barriers and perceived benefits toward PA. Neighborhood walkability was positively associated with PA among adolescents, living in low-income neighborhoods, who perceived many barriers and few benefits, while for adolescents who perceived few barriers and many benefits, the PA level was high, irrespective of neighborhood walkability. For adolescents, living in high-income neighborhoods, none of the psychosocial attributes moderated the association between neighborhood walkability and PA. These findings provide some support for the predicted interactions posited by ecological models. Improving neighborhood walkability might increase PA-levels of adolescents living in low-income neighborhoods, with less positive psychosocial profiles, or in other words; those who are most difficult to reach through PA interventions. However, in order to increase PA in large populations, interventions focusing solely on improving neighborhood walkability may not have the desired effect. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. Early Adolescent Alcohol Use in Context: How Neighborhoods, Parents and Peers Impact Youth

    PubMed Central

    Trucco, Elisa M.; Colder, Craig R.; Wieczorek, William F.; Lengua, Liliana J.; Hawk, Larry W.

    2014-01-01

    Developmental-ecological models are useful for integrating risk factors across multiple contexts and conceptualizing mediational pathways for adolescent alcohol use; yet, these comprehensive models are rarely tested. This study used a developmental-ecological framework to investigate the influence of neighborhood, family, and peer contexts on alcohol use in early adolescence (N = 387). Results from a multi-informant longitudinal cross-lagged mediation path model suggested that high levels of neighborhood disadvantage were associated with high levels of alcohol use two years later via an indirect pathway that included exposure to delinquent peers and adolescent delinquency. Results also indicated that adolescent involvement with delinquent peers and alcohol use led to decrements in parenting, rather than being consequences of poor parenting. Overall, the study supported hypothesized relationships among key microsystems thought to influence adolescent alcohol use, and thus findings underscore the utility of developmental-ecological models of alcohol use. PMID:24621660

  4. Associations of neighborhood social environment attributes and physical activity among 9-11 year old children from 12 countries.

    PubMed

    Sullivan, Samaah M; Broyles, Stephanie T; Barreira, Tiago V; Chaput, Jean-Philippe; Fogelholm, Mikael; Hu, Gang; Kuriyan, Rebecca; Kurpad, Anura; Lambert, Estelle V; Maher, Carol; Maia, Jose; Matsudo, Victor; Olds, Tim; Onywera, Vincent; Sarmiento, Olga L; Standage, Martyn; Tremblay, Mark S; Tudor-Locke, Catrine; Zhao, Pei; Katzmarzyk, Peter T

    2017-07-01

    We investigated whether associations of neighborhood social environment attributes and physical activity differed among 12 countries and levels of economic development using World Bank classification (low/lower-middle-, upper-middle- and high- income countries) among 9-11 year old children (N=6161) from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Collective efficacy and perceived crime were obtained via parental/guardian report. Moderate-to-vigorous physical activity (MVPA) was assessed with waist-worn Actigraph accelerometers. Neighborhood environment by country interactions were tested using multi-level statistical models, adjusted for covariates. Effect estimates were reported by country and pooled estimates calculated across World Bank classifications for economic development using meta-analyses and forest plots. Associations between social environment attributes and MVPA varied among countries and levels of economic development. Associations were more consistent and in the hypothesized directions among countries with higher levels economic development, but less so among countries with lower levels of economic development. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Relationship of corporal punishment and antisocial behavior by neighborhood.

    PubMed

    Grogan-Kaylor, Andrew

    2005-10-01

    To examine the relationship of corporal punishment with children's behavior problems while accounting for neighborhood context and while using stronger statistical methods than previous literature in this area, and to examine whether different levels of corporal punishment have different effects in different neighborhood contexts. Longitudinal cohort study. General community. 1943 mother-child pairs from the National Longitudinal Survey of Youth. Internalizing and externalizing behavior problem scales of the Behavior Problems Index. Parental use of corporal punishment was associated with a 0.71 increase (P<.05) in children's externalizing behavior problems even when several parenting behaviors, neighborhood quality, and all time-invariant variables were accounted for. The association of corporal punishment and children's externalizing behavior problems was not dependent on neighborhood context. The research found no discernible relationship between corporal punishment and internalizing behavior problems.

  6. An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics

    PubMed Central

    Hemmelmayr, Vera C.; Cordeau, Jean-François; Crainic, Teodor Gabriel

    2012-01-01

    In this paper, we propose an adaptive large neighborhood search heuristic for the Two-Echelon Vehicle Routing Problem (2E-VRP) and the Location Routing Problem (LRP). The 2E-VRP arises in two-level transportation systems such as those encountered in the context of city logistics. In such systems, freight arrives at a major terminal and is shipped through intermediate satellite facilities to the final customers. The LRP can be seen as a special case of the 2E-VRP in which vehicle routing is performed only at the second level. We have developed new neighborhood search operators by exploiting the structure of the two problem classes considered and have also adapted existing operators from the literature. The operators are used in a hierarchical scheme reflecting the multi-level nature of the problem. Computational experiments conducted on several sets of instances from the literature show that our algorithm outperforms existing solution methods for the 2E-VRP and achieves excellent results on the LRP. PMID:23483764

  7. An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics.

    PubMed

    Hemmelmayr, Vera C; Cordeau, Jean-François; Crainic, Teodor Gabriel

    2012-12-01

    In this paper, we propose an adaptive large neighborhood search heuristic for the Two-Echelon Vehicle Routing Problem (2E-VRP) and the Location Routing Problem (LRP). The 2E-VRP arises in two-level transportation systems such as those encountered in the context of city logistics. In such systems, freight arrives at a major terminal and is shipped through intermediate satellite facilities to the final customers. The LRP can be seen as a special case of the 2E-VRP in which vehicle routing is performed only at the second level. We have developed new neighborhood search operators by exploiting the structure of the two problem classes considered and have also adapted existing operators from the literature. The operators are used in a hierarchical scheme reflecting the multi-level nature of the problem. Computational experiments conducted on several sets of instances from the literature show that our algorithm outperforms existing solution methods for the 2E-VRP and achieves excellent results on the LRP.

  8. Identifying clusters of active transportation using spatial scan statistics.

    PubMed

    Huang, Lan; Stinchcomb, David G; Pickle, Linda W; Dill, Jennifer; Berrigan, David

    2009-08-01

    There is an intense interest in the possibility that neighborhood characteristics influence active transportation such as walking or biking. The purpose of this paper is to illustrate how a spatial cluster identification method can evaluate the geographic variation of active transportation and identify neighborhoods with unusually high/low levels of active transportation. Self-reported walking/biking prevalence, demographic characteristics, street connectivity variables, and neighborhood socioeconomic data were collected from respondents to the 2001 California Health Interview Survey (CHIS; N=10,688) in Los Angeles County (LAC) and San Diego County (SDC). Spatial scan statistics were used to identify clusters of high or low prevalence (with and without age-adjustment) and the quantity of time spent walking and biking. The data, a subset from the 2001 CHIS, were analyzed in 2007-2008. Geographic clusters of significantly high or low prevalence of walking and biking were detected in LAC and SDC. Structural variables such as street connectivity and shorter block lengths are consistently associated with higher levels of active transportation, but associations between active transportation and socioeconomic variables at the individual and neighborhood levels are mixed. Only one cluster with less time spent walking and biking among walkers/bikers was detected in LAC, and this was of borderline significance. Age-adjustment affects the clustering pattern of walking/biking prevalence in LAC, but not in SDC. The use of spatial scan statistics to identify significant clustering of health behaviors such as active transportation adds to the more traditional regression analysis that examines associations between behavior and environmental factors by identifying specific geographic areas with unusual levels of the behavior independent of predefined administrative units.

  9. Identifying Clusters of Active Transportation Using Spatial Scan Statistics

    PubMed Central

    Huang, Lan; Stinchcomb, David G.; Pickle, Linda W.; Dill, Jennifer; Berrigan, David

    2009-01-01

    Background There is an intense interest in the possibility that neighborhood characteristics influence active transportation such as walking or biking. The purpose of this paper is to illustrate how a spatial cluster identification method can evaluate the geographic variation of active transportation and identify neighborhoods with unusually high/low levels of active transportation. Methods Self-reported walking/biking prevalence, demographic characteristics, street connectivity variables, and neighborhood socioeconomic data were collected from respondents to the 2001 California Health Interview Survey (CHIS; N=10,688) in Los Angeles County (LAC) and San Diego County (SDC). Spatial scan statistics were used to identify clusters of high or low prevalence (with and without age-adjustment) and the quantity of time spent walking and biking. The data, a subset from the 2001 CHIS, were analyzed in 2007–2008. Results Geographic clusters of significantly high or low prevalence of walking and biking were detected in LAC and SDC. Structural variables such as street connectivity and shorter block lengths are consistently associated with higher levels of active transportation, but associations between active transportation and socioeconomic variables at the individual and neighborhood levels are mixed. Only one cluster with less time spent walking and biking among walkers/bikers was detected in LAC, and this was of borderline significance. Age-adjustment affects the clustering pattern of walking/biking prevalence in LAC, but not in SDC. Conclusions The use of spatial scan statistics to identify significant clustering of health behaviors such as active transportation adds to the more traditional regression analysis that examines associations between behavior and environmental factors by identifying specific geographic areas with unusual levels of the behavior independent of predefined administrative units. PMID:19589451

  10. The impact of neighborhood quality, perceived stress, and social support on depressive symptoms during pregnancy in African American women.

    PubMed

    Giurgescu, Carmen; Misra, Dawn P; Sealy-Jefferson, Shawnita; Caldwell, Cleopatra H; Templin, Thomas N; Slaughter-Acey, Jaime C; Osypuk, Theresa L

    2015-04-01

    Living in a lower-quality neighborhood is associated with higher levels of depressive symptoms in the general population as well as among pregnant and postpartum women. However, little is known of the important pathways by which this association occurs. We proposed a model in which perceived stress and social support mediated the effects of neighborhood quality on depressive symptoms during pregnancy (measured by the 20-item Center for Epidemiologic Studies-Depression, CES-D, scale) in a sample of 1383 African American women from the Detroit metropolitan area interviewed during their delivery hospitalization. Using structural equation modeling (SEM), we built a latent variable of neighborhood quality using 4 measures (neighborhood disorder, neighborhood safety/danger, walking environment, overall rating). We then tested two SEM mediation models. We found that lower neighborhood quality was associated with higher prevalence of depressive symptoms during pregnancy (standardized total effect = .16, p = .011). We found that perceived stress partially mediated the neighborhood quality association with depressive symptoms. Although the association of social support with depressive symptoms was negligible, social support mediated associations of neighborhood quality with perceived stress [standardized path coefficient = .38 (.02), p = .009]. Our results point to the need for public health, health care, as well as non-health related interventions (e.g. crime prevention programs) to decrease overall exposure to stressors, as well as stress levels of women living in poor quality neighborhoods. Interventions that increase the levels of social support of women during pregnancy are also needed for their potential to decrease stress and ultimately improve mental health at this important time in the life course. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. Relationship between neighborhood walkability and older adults' physical activity: results from the Belgian Environmental Physical Activity Study in Seniors (BEPAS Seniors).

    PubMed

    Van Holle, Veerle; Van Cauwenberg, Jelle; Van Dyck, Delfien; Deforche, Benedicte; Van de Weghe, Nico; De Bourdeaudhuij, Ilse

    2014-08-23

    Adequate knowledge on environmental correlates of physical activity (PA) in older adults is needed to develop effective health promotion initiatives. However, research in this age group is scarce and most existing studies were conducted in North America. The present study aimed to examine relationships between GIS-based neighborhood walkability and objective and self-reported PA in community-dwelling Belgian older adults. Furthermore, moderating effects of neighborhood income levels were investigated. The Belgian Environmental Physical Activity Study (BEPAS) for Seniors is a cross-sectional study in older adults (≥65 yrs) and was conducted between October 2010 and September 2012. Data from 438 older adults living in 20 neighborhoods across Ghent (Belgium) were analyzed. Stratification of selected neighborhoods was based upon objective walkability and neighborhood income. Participants wore an accelerometer during seven consecutive days to obtain objective levels of moderate-to-vigorous physical activity (MVPA). Self-reported levels of transportation walking/cycling and recreational walking/cycling were assessed using the International Physical Activity Questionnaire (long, last 7 days version) adapted for the elderly. Multi-level regression analyses were conducted. Findings showed a positive relationship between neighborhood walkability and weekly minutes of older adults' self-reported walking for transportation (B = 4.63 ± 1.05;p < 0.001) and a negative relationship between walkability and accelerometer-derived low-light PA (B = -1.38 ± 0.62;p = 0.025). Walkability was not related to any measure of recreational PA. A walkability x income interaction was found for accelerometer-derived MVPA (B = -1.826 ± 1.03;p = 0.075), showing only a positive association between walkability and MVPA in low-income neighborhood residents. This was the first European study to examine walkability-PA relationships in older adults. These Belgian findings suggest that a high neighborhood walkability relates to higher levels of older adults' transport-related walking. As transport-related walking is an accessible activity for older adults and easy to integrate in their daily routine, policy makers and health promoters are advised to provide sufficient destinations and pedestrian-friendly facilities in the close vicinity of older adults' residences, so short trips can be made by foot. Neighborhood income moderated the relationship between walkability and objectively-measured MVPA. Increasing total MVPA levels in older adults should be a key topic in development of promotion initiatives and special attention should be paid to low-income neighborhood residents.

  12. Built Environment, Adiposity, and Physical Activity in Adults Aged 50–75

    PubMed Central

    Li, Fuzhong; Harmer, Peter A.; Cardinal, Bradley J.; Bosworth, Mark; Acock, Alan; Johnson-Shelton, Deborah; Moore, Jane M.

    2008-01-01

    Background Few studies have investigated the built environment and its association with health—especially excess adiposity—and physical activity in the immediate pre-Baby Boom/early-Baby Boom generations, soon to be the dominant demographic in the U.S. The purpose of this study was to examine this relationship. Methods This study used a cross-sectional, multilevel design with neighborhoods as the primary sampling unit (PSU). Residents (N=1221; aged 50–75) were recruited from 120 neighborhoods in Portland OR. The independent variables at the PSU level involved GIS-derived measures of land-use mix, distribution of fast-food outlets, street connectivity, access to public transportation, and green and open spaces. Dependent variables included resident-level measures of excess adiposity (BMI ≥25), three walking activities, and physical activity. Data were collected in 2006–2007 and analyzed in 2007. Results Each unit (i.e., 10%) increase in land-use mix was associated with a 25% reduction in the prevalence of overweight/obesity. However, a 1-SD increase in the density of fast-food outlets was associated with a 7% increase in overweight/obesity. Higher mixed-use land was positively associated with all three types of walking activities and the meeting of physical activity recommendations. Neighborhoods with high street connectivity, high density of public transit stations, and green and open spaces were related in varying degrees to walking and the meeting of physical activity recommendations. The analyses adjusted for neighborhood- and resident-level sociodemographic characteristics. Conclusions Findings suggest the need for public health and city planning officials to address modifiable neighborhood-level, built-environment characteristics to create more livable residential communities aimed at both addressing factors that may influence unhealthy eating and promoting active, healthy lifestyles in this rapidly growing population. PMID:18541175

  13. Racial and Ethnic Inequality in Childhood Exposure to Neighborhood Poverty and Affluence.

    ERIC Educational Resources Information Center

    Timberlake, Jeffrey, M.

    Despite recent scholarly concern with "neighborhood effects" on children, no study to date has measured the cumulative exposure of children to poor and affluent neighborhoods. This study constructed multi-state life tables to estimate racial and ethnic differences in "childhood expectancy" in five neighborhood types, ranging from affluent to…

  14. Associations Between Socioeconomic Status and Allostatic Load: Effects of Neighborhood Poverty and Tests of Mediating Pathways

    PubMed Central

    Mentz, Graciela; Lachance, Laurie; Johnson, Jonetta; Gaines, Causandra; Israel, Barbara A.

    2012-01-01

    Objectives. We examined relationships between neighborhood poverty and allostatic load in a low- to moderate-income multiracial urban community. We tested the hypothesis that neighborhood poverty is associated with allostatic load, controlling for household poverty. We also examined the hypotheses that this association was mediated by psychosocial stress and health-related behaviors. Methods. We conducted multilevel analyses using cross-sectional data from a probability sample survey in Detroit, Michigan (n = 919) and the 2000 US Census. The outcome measure was allostatic load. Independent variables included neighborhood and household poverty, psychosocial stress, and health-related behaviors. Covariates included neighborhood and individual demographic characteristics. Results. Neighborhood poverty was positively associated with allostatic load (P < .05), independent of household poverty and controlling for potential confounders. Relationships between neighborhood poverty were mediated by self-reported neighborhood environment stress but not by health-related behaviors. Conclusions. Neighborhood poverty is associated with wear and tear on physiological systems, and this relationship is mediated through psychosocial stress. These relationships are evident after accounting for household poverty levels. Efforts to promote health equity should focus on neighborhood poverty, associated stressful environmental conditions, and household poverty. PMID:22873478

  15. Social capital and core network ties: a validation study of individual-level social capital measures and their association with extra- and intra-neighborhood ties, and self-rated health.

    PubMed

    Moore, Spencer; Bockenholt, Ulf; Daniel, Mark; Frohlich, Katherine; Kestens, Yan; Richard, Lucie

    2011-03-01

    Research on social capital and health has assumed that measures of trust, participation, and perceived cohesion capture aspects of people's neighborhood social connections. This study uses data on the personal networks of 2707 Montreal adults in 300 different neighborhoods to examine the association of socio-demographic and social capital variables with the likelihood of having core ties, core neighborhood ties, and high self-rated health (SRH). Persons with higher household income were more likely to have core ties, but less likely to have core neighborhood ties. Persons with greater diversity in extra-neighborhood network capital were more likely to have core ties, and persons with greater diversity in intra-neighborhood network capital were more likely to have core neighborhood ties. Generalized trust, perceived neighborhood cohesion, and extra-neighborhood network diversity were shown associated with high SRH. Conventional measures of social capital may not capture network mechanisms. Findings suggest a critical appraisal of the mechanisms linking social capital and health, and the further delineation of network and psychosocial mechanisms in understanding these links. Copyright © 2010 Elsevier Ltd. All rights reserved.

  16. Associations between socioeconomic status and allostatic load: effects of neighborhood poverty and tests of mediating pathways.

    PubMed

    Schulz, Amy J; Mentz, Graciela; Lachance, Laurie; Johnson, Jonetta; Gaines, Causandra; Israel, Barbara A

    2012-09-01

    We examined relationships between neighborhood poverty and allostatic load in a low- to moderate-income multiracial urban community. We tested the hypothesis that neighborhood poverty is associated with allostatic load, controlling for household poverty. We also examined the hypotheses that this association was mediated by psychosocial stress and health-related behaviors. We conducted multilevel analyses using cross-sectional data from a probability sample survey in Detroit, Michigan (n = 919) and the 2000 US Census. The outcome measure was allostatic load. Independent variables included neighborhood and household poverty, psychosocial stress, and health-related behaviors. Covariates included neighborhood and individual demographic characteristics. Neighborhood poverty was positively associated with allostatic load (P < .05), independent of household poverty and controlling for potential confounders. Relationships between neighborhood poverty were mediated by self-reported neighborhood environment stress but not by health-related behaviors. Neighborhood poverty is associated with wear and tear on physiological systems, and this relationship is mediated through psychosocial stress. These relationships are evident after accounting for household poverty levels. Efforts to promote health equity should focus on neighborhood poverty, associated stressful environmental conditions, and household poverty.

  17. A global study on the influence of neighborhood contextual factors on adolescent health.

    PubMed

    Mmari, Kristin; Lantos, Hannah; Blum, Robert W; Brahmbhatt, Heena; Sangowawa, Adesola; Yu, Chunyan; Delany-Moretlwe, Sinead

    2014-12-01

    This study uses data collected as part of the Well-Being of Adolescents in Vulnerable Environments study to (1) compare the perceptions of neighborhood-level factors among adolescents across five different urban sites; (2) examine the associations between factors within the physical and social environments; and (3) examine the influence of neighborhood-level factors on two different health outcomes-violence victimization in the past 12 months and ever smoked. Across five urban sites (Baltimore, New Delhi, Johannesburg, Ibadan, and Shanghai), 2,320 adolescents aged 15-19 years completed a survey using audio computer-assisted self-interview technology. To recruit adolescents, each site used a respondent-driven sampling method, which consisted of selecting adolescents as "seeds" to serve as the initial contacts for recruiting the entire adolescent sample. All analyses were conducted with Stata 13.1 statistical software, using complex survey design procedures. To examine associations between neighborhood-level factors and among our two outcomes, violence victimization and ever smoked, bivariate and multivariate analyses were conducted. Across sites, there was great variability in how adolescents perceived their neighborhoods. Overall, adolescents from Ibadan and Shanghai held the most positive perceptions about their neighborhoods, whereas adolescents from Baltimore and Johannesburg held the poorest. In New Delhi, despite females having positive perceptions about their safety and sense of social cohesion, they had the highest sense of fear and the poorest perceptions about their physical environment. The study also found that one of the most consistent neighborhood-level factors across sites and outcomes was witnessing community violence, which was significantly associated with smoking among adolescents in New Delhi and Johannesburg and with violence victimization across nearly every site except Baltimore. No other neighborhood-level factor exerted greater influence. This study confirms the important associations between perceptions of a neighborhood and adolescent health. At the same time, it demonstrates that not all neighborhood-level factors are associated with adolescent health outcomes in the same way across different urban contexts. Further longitudinal research is needed to examine the direction of causation between adolescent health neighborhood contexts and health outcomes and the reasons for why different urban contexts may exert varying levels of influence on the health of adolescents. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  18. Food environment and fruit and vegetable intake in a urban population: a multilevel analysis.

    PubMed

    Pessoa, Milene Cristine; Mendes, Larissa Loures; Gomes, Crizian Saar; Martins, Paula Andréa; Velasquez-Melendez, Gustavo

    2015-10-05

    Environmental, social and individual factors influence eating patterns, which in turn affect the risk of many chronic diseases. This study aimed to estimate associations between environmental factors and the consumption of fruit and vegetables among adults in a Brazilian urban context. Data from the surveillance system for risk factors for chronic diseases (VIGITEL) of Brazilian Ministry of Health were used. A cross-sectional telephone survey (VIGITEL - 2008-2010) was carried out with 5826 adults in the urban area of Belo Horizonte. Individual variables were collected. The frequency of fruit and vegetables consumption was assessed from number of servings, weekly frequency and an intake score was calculated. Georeferenced variables were used to characterize the food environment. The density of healthy food outlets (stores specialized in selling fruit and vegetables), unhealthy food outlets (bars, snack bars and food trucks/trailers) and the neighborhood family income were investigated and associated with fruit and vegetables intake score. Weighted multilevel linear regression was used to evaluate the associations between the environment variables and the fruit and vegetables intake score. Higher fruit and vegetables intake scores were observed in neighborhoods with higher density of healthy food outlets and higher income. Lower scores were observed in neighborhood with higher density of unhealthy food outlets. These associations were adjusted by individual variables such as gender, age, physical activity, sugar sweetened beverages consumption, education level and smoking. The food environment might explain some of the socioeconomic disparities with respect to healthy food intake and health outcomes. Healthy food stores are less common in socially disadvantaged neighborhoods, and therefore, healthy foods such as fruits and vegetables are less available or are of a lower quality in lower income areas. Food environment characteristics and neighborhood socioeconomic level had significant associations with fruit and vegetable intake score. These are initial findings that require further investigation within the middle income world populations and the role of the environment with respect to both healthy and unhealthy food acquisition and intake.

  19. Neighborhood green, social support, physical activity, and stress: assessing the cumulative impact.

    PubMed

    Fan, Yingling; Das, Kirti V; Chen, Qian

    2011-11-01

    We estimate the cumulative stress mitigating impact of neighborhood greenness by investigating whether neighborhood green mitigates stress directly, and indirectly by encouraging physical activity and/or fostering social support. Using data from a recent community health survey in Chicago and two-stage instrumental variables regression modeling, we find that different components of neighborhood green play distinct roles in influencing stress. Park spaces are found to indirectly mitigate stress by fostering social support. Overall neighborhood vegetation is found to have direct stress mitigation impact, yet the impact is counteracted by its negative effect on social support. When comparing the effect size, park spaces show a more positive impact on health and well-being than the overall neighborhood vegetation level. Policy makers are recommended to focus on creating structured green spaces with public recreation and socialization opportunities rather than simply conserving green spaces in the neighborhood. Previous studies, as they often investigate the direct impact only and rarely use multiple measures of greenness, may have mis-estimated health benefits of neighborhood green. Published by Elsevier Ltd.

  20. NEIGHBORHOOD CONTEXT AND THE DEVELOPMENT OF AGGRESSION IN BOYS AND GIRLS

    PubMed Central

    Vanfossen, Beth; Brown, C. Hendricks; Kellam, Sheppard; Sokoloff, Natalie; Doering, Susan

    2010-01-01

    We examine the roles of neighborhood characteristics in the development of the aggressive behavior of 1,409 urban boys and girls between the first and seventh grades. The multilevel, longitudinal growth analyses find strong neighborhood effects in all models, while controlling for individual-level variables. Results indicated that the effects of neighborhood violence, employment, income, and percentages of single males and female-headed households do not manifest in first grade, but affect the trajectory of child aggression between first and seventh grades. The influence of family income and frequent physical discipline on boys’ and girls’ aggression occurs at first grade, and family income has a modest effect on the trajectory. The findings strongly suggest that the neighborhood sources of the development of child aggression are independent and different from early childhood experiences. PMID:20689683

  1. Land use, residential density, and walking. The multi-ethnic study of atherosclerosis.

    PubMed

    Rodríguez, Daniel A; Evenson, Kelly R; Diez Roux, Ana V; Brines, Shannon J

    2009-11-01

    The neighborhood environment may play a role in encouraging sedentary patterns, especially for middle-aged and older adults. The aim of this study was to examine the associations between walking and neighborhood population density, retail availability, and land-use distribution using data from a cohort of adults aged 45 to 84 years. Data from a multi-ethnic sample of 5529 adult residents of Baltimore MD, Chicago IL, Forsyth County NC, Los Angeles CA, New York NY, and St. Paul MN enrolled in the Multi-Ethnic Study of Atherosclerosis in 2000-2002 were linked to secondary land-use and population data. Participant reports of access to destinations and stores and objective measures of the percentage of land area in parcels devoted to retail land uses, the population divided by land area in parcels, and the mixture of uses for areas within 200 m of each participant's residence were examined. Multinomial logistic regression was used to investigate associations of self-reported and objective neighborhood characteristics with walking. All analyses were conducted in 2008 and 2009. After adjustment for individual-level characteristics and neighborhood connectivity, it was found that higher density, greater land area devoted to retail uses, and self-reported proximity of destinations and ease of walking to places were each related to walking. In models including all land-use measures, population density was positively associated with walking to places and with walking for exercise for more than 90 minutes/week, both relative to no walking. Availability of retail was associated with walking to places relative to not walking, and having a more proportional mix of land uses was associated with walking for exercise for more than 90 minutes/week, while self-reported ease of access to places was related to higher levels of exercise walking, both relative to not walking. Residential density and the presence of retail uses are related to various walking behaviors. Efforts to increase walking may benefit from attention to the intensity and type of land development.

  2. Socioeconomic Inequalities in Psychological Distress among Urban Adults: The Moderating Role of Neighborhood Social Cohesion.

    PubMed

    Erdem, Özcan; Van Lenthe, Frank J; Prins, Rick G; Voorham, Toon A J J; Burdorf, Alex

    2016-01-01

    Various studies have reported socioeconomic inequalities in mental health among urban residents. This study aimed at investigating whether neighborhood social cohesion influences the associations between socio-economic factors and psychological distress. Cross-sectional questionnaire study on a random sample of 18,173 residents aged 16 years and older from 211 neighborhoods in the four largest cities in the Netherlands. Psychological distress was the dependent variable (scale range 10-50). Neighborhood social cohesion was measured by five statements and aggregated to the neighborhood level using ecometrics methodology. Multilevel linear regression analyses were used to investigate cross-level interactions, adjusted for neighborhood deprivation, between individual characteristics and social cohesion with psychological distress. The mean level of psychological distress among urban residents was 17.2. Recipients of disability, social assistance or unemployment benefits reported higher psychological distress (β = 5.6, 95%CI 5.2 to 5.9) than those in paid employment. Persons with some or great financial difficulties reported higher psychological distress (β = 3.4, 95%CI 3.2 to 3.6) than those with little or no financial problems. Socio-demographic factors were also associated with psychological distress, albeit with much lower influence. Living in a neighborhood with high social cohesion instead of low social cohesion was associated with a lower psychological distress of 22% among recipients of disability, social assistance or unemployment benefits and of 13% among citizens with financial difficulties. Residing in socially cohesive neighborhoods may reduce the influence of lack of paid employment and financial difficulties on psychological distress among urban adults. Urban policies aimed at improving neighborhood social cohesion may contribute to decreasing socio-economic inequalities in mental health.

  3. Socioeconomic Inequalities in Psychological Distress among Urban Adults: The Moderating Role of Neighborhood Social Cohesion

    PubMed Central

    Erdem, Özcan; Van Lenthe, Frank J.; Prins, Rick G.; Voorham, Toon A. J. J.; Burdorf, Alex

    2016-01-01

    Background Various studies have reported socioeconomic inequalities in mental health among urban residents. This study aimed at investigating whether neighborhood social cohesion influences the associations between socio-economic factors and psychological distress. Methods Cross-sectional questionnaire study on a random sample of 18,173 residents aged 16 years and older from 211 neighborhoods in the four largest cities in the Netherlands. Psychological distress was the dependent variable (scale range 10–50). Neighborhood social cohesion was measured by five statements and aggregated to the neighborhood level using ecometrics methodology. Multilevel linear regression analyses were used to investigate cross-level interactions, adjusted for neighborhood deprivation, between individual characteristics and social cohesion with psychological distress. Results The mean level of psychological distress among urban residents was 17.2. Recipients of disability, social assistance or unemployment benefits reported higher psychological distress (β = 5.6, 95%CI 5.2 to 5.9) than those in paid employment. Persons with some or great financial difficulties reported higher psychological distress (β = 3.4, 95%CI 3.2 to 3.6) than those with little or no financial problems. Socio-demographic factors were also associated with psychological distress, albeit with much lower influence. Living in a neighborhood with high social cohesion instead of low social cohesion was associated with a lower psychological distress of 22% among recipients of disability, social assistance or unemployment benefits and of 13% among citizens with financial difficulties. Conclusions Residing in socially cohesive neighborhoods may reduce the influence of lack of paid employment and financial difficulties on psychological distress among urban adults. Urban policies aimed at improving neighborhood social cohesion may contribute to decreasing socio-economic inequalities in mental health. PMID:27280601

  4. Mexican Origin Youths’ Trajectories of Perceived Peer Discrimination from Middle Childhood to Adolescence: Variation by Neighborhood Ethnic Concentration

    PubMed Central

    White, Rebecca M. B.; Zeiders, Katharine H.; Knight, George P.; Roosa, Mark W.; Tein, Jenn-Yun

    2014-01-01

    Developmentally salient research on perceived peer discrimination among minority youths is limited. Little is known about trajectories of perceived peer discrimination across the developmental period ranging from middle childhood to adolescence. Ethically concentrated neighborhoods are hypothesized to protect minority youths from discrimination, but strong empirical tests are lacking. The first aim of the current study was to estimate trajectories of perceived peer discrimination from middle childhood to adolescence, as youths transitioned from elementary to middle and to high school. The second aim was to examine the relationship between neighborhood ethnic concentration and perceived peer discrimination over time. Using a diverse sample of 749 Mexican origin youths (48.9% female), a series of growth models revealed that youths born in Mexico, relative to those born in the U.S., perceived higher discrimination in the 5th grade and decreases across time. Youths who had higher averages on neighborhood ethnic concentration (across the developmental period) experienced decreases in perceived peer discrimination over time; those that had lower average neighborhood ethnic concentration levels showed evidence of increasing trajectories. Further, when individuals experienced increases in their own neighborhood ethnic concentration levels (relative to their own cross-time averages), they reported lower levels of perceived peer discrimination. Neighborhood ethnic concentration findings were not explained by the concurrent changes youths were experiencing in school ethnic concentrations. The results support a culturally-informed developmental view of perceived peer discrimination that recognizes variability in co-ethnic neighborhood contexts. The results advance a view of ethnic enclaves as protective from mainstream threats. PMID:24488094

  5. Mexican origin youths' trajectories of perceived peer discrimination from middle childhood to adolescence: variation by neighborhood ethnic concentration.

    PubMed

    White, Rebecca M B; Zeiders, Katharine H; Knight, George P; Roosa, Mark W; Tein, Jenn-Yun

    2014-10-01

    Developmentally salient research on perceived peer discrimination among minority youths is limited. Little is known about trajectories of perceived peer discrimination across the developmental period ranging from middle childhood to adolescence. Ethically concentrated neighborhoods are hypothesized to protect minority youths from discrimination, but strong empirical tests are lacking. The first aim of the current study was to estimate trajectories of perceived peer discrimination from middle childhood to adolescence, as youths transitioned from elementary to middle and to high school. The second aim was to examine the relationship between neighborhood ethnic concentration and perceived peer discrimination over time. Using a diverse sample of 749 Mexican origin youths (48.9% female), a series of growth models revealed that youths born in Mexico, relative to those born in the U.S., perceived higher discrimination in the 5th grade and decreases across time. Youths who had higher averages on neighborhood ethnic concentration (across the developmental period) experienced decreases in perceived peer discrimination over time; those that had lower average neighborhood ethnic concentration levels showed evidence of increasing trajectories. Further, when individuals experienced increases in their own neighborhood ethnic concentration levels (relative to their own cross-time averages), they reported lower levels of perceived peer discrimination. Neighborhood ethnic concentration findings were not explained by the concurrent changes youths were experiencing in school ethnic concentrations. The results support a culturally-informed developmental view of perceived peer discrimination that recognizes variability in co-ethnic neighborhood contexts. The results advance a view of ethnic enclaves as protective from mainstream threats.

  6. Cross-scale analysis of cluster correspondence using different operational neighborhoods

    NASA Astrophysics Data System (ADS)

    Lu, Yongmei; Thill, Jean-Claude

    2008-09-01

    Cluster correspondence analysis examines the spatial autocorrelation of multi-location events at the local scale. This paper argues that patterns of cluster correspondence are highly sensitive to the definition of operational neighborhoods that form the spatial units of analysis. A subset of multi-location events is examined for cluster correspondence if they are associated with the same operational neighborhood. This paper discusses the construction of operational neighborhoods for cluster correspondence analysis based on the spatial properties of the underlying zoning system and the scales at which the zones are aggregated into neighborhoods. Impacts of this construction on the degree of cluster correspondence are also analyzed. Empirical analyses of cluster correspondence between paired vehicle theft and recovery locations are conducted on different zoning methods and across a series of geographic scales and the dynamics of cluster correspondence patterns are discussed.

  7. Parental Perceptions of the Social Environment Are Inversely Related to Constraint of Adolescents’ Neighborhood Physical Activity

    PubMed Central

    Kepper, Maura; Broyles, Stephanie; Scribner, Richard; Tseng, Tung-Sung; Zabaleta, Jovanny; Griffiths, Lauren; Sothern, Melinda

    2016-01-01

    Background: The current study examined relationships between the neighborhood social environment (parental perceived collective efficacy (PCE)), constrained behaviors (e.g., avoidance or defensive behaviors) and adolescent offspring neighborhood physical activity in low- versus high-incivility neighborhoods. Methods: Adolescents (n = 71; 11–18 years (14.2, SD ± 1.6); male = 37 (52%); non-white = 24 (33.8%); low-income = 20 (29%); overweight/obese = 40 (56%)) and their parents/guardians enrolled in the Molecular and Social Determinants of Obesity in Developing Youth study were included in the current study. Questionnaires measured parents’/guardians’ PCE, constrained outdoor play practices and offspring neighborhood physical activity. Systematic social observation performed at the parcel-level using Google Street View assessed neighborhood incivilities. t-tests and chi-square tests determined differences by incivilities. Multilevel regression models examined relationships between PCE and: (1) constrained behaviors; and (2) neighborhood physical activity. The Hayes (2013) macro determined the mediating role of constrained behaviors. Results: Parents who had higher PCE reported lower levels of avoidance (p = 0.04) and defensive (p = 0.05) behaviors. However, demographic variables (i.e., gender, race and annual household income) limited these results. The direct relationship between PCE and parent-reported neighborhood physical activity was statistically significant in high-incivility neighborhoods only. Neither avoidance nor defensive behavior mediated the relationship between PCE and neighborhood physical activity. Conclusions: PCE influences parenting behaviors related to youth physical activity. Community-based programs that seek to facilitate social cohesion and control may be needed to increase adolescents’ physical activity. PMID:28009839

  8. NEIGHBORHOOD CONTEXT AND THE GENDER GAP IN ADOLESCENT VIOLENT CRIME*

    PubMed Central

    Zimmerman, Gregory M.; Messner, Steven F.

    2011-01-01

    Although researchers consistently demonstrate that females engage in less criminal behavior than males across the life course, research on the variability of the gender gap across contexts is sparse. To address this issue, we examine the gender gap in self-reported violent crime among adolescents across neighborhoods. Multilevel models using data from the Project of Human Development in Chicago Neighborhoods (PHDCN) indicate that the gender gap in violent crime decreases as levels of neighborhood disadvantage increase. Further, the narrowing of the gender gap is explained by gender differences in peer influence on violent offending. Neighborhood disadvantage increases exposure to peer violence for both sexes, but peer violence has a stronger impact on violent offending for females than for males, producing the reduction in the gender gap at higher levels of disadvantage. We also find that the gender difference in the relationship between peer violence and offending is explained, in part, by (1) the tendency for females to have more intimate friendships than males, and (2) the moderating effect of peer intimacy on the relationship between peer violence and self-reported violent behavior. PMID:21709751

  9. NEIGHBORHOOD CONTEXT AND THE GENDER GAP IN ADOLESCENT VIOLENT CRIME.

    PubMed

    Zimmerman, Gregory M; Messner, Steven F

    2010-12-01

    Although researchers consistently demonstrate that females engage in less criminal behavior than males across the life course, research on the variability of the gender gap across contexts is sparse. To address this issue, we examine the gender gap in self-reported violent crime among adolescents across neighborhoods. Multilevel models using data from the Project of Human Development in Chicago Neighborhoods (PHDCN) indicate that the gender gap in violent crime decreases as levels of neighborhood disadvantage increase. Further, the narrowing of the gender gap is explained by gender differences in peer influence on violent offending. Neighborhood disadvantage increases exposure to peer violence for both sexes, but peer violence has a stronger impact on violent offending for females than for males, producing the reduction in the gender gap at higher levels of disadvantage. We also find that the gender difference in the relationship between peer violence and offending is explained, in part, by (1) the tendency for females to have more intimate friendships than males, and (2) the moderating effect of peer intimacy on the relationship between peer violence and self-reported violent behavior.

  10. The perceived and built environment surrounding urban schools and physical activity among adolescent girls.

    PubMed

    Hager, Erin R; Witherspoon, Dawn O; Gormley, Candice; Latta, Laura W; Pepper, M Reese; Black, Maureen M

    2013-02-01

    Neighborhood perceived/built environment and physical activity (PA) associations have been examined for adolescents around homes, but not surrounding schools. The purpose of this paper is to examine if positive perceptions/built environment in neighborhoods surrounding schools predict PA among low-income, urban adolescent girls. Measures include: minutes in moderate-vigorous PA (MVPA, ankle accelerometry), perceptions of the school environment (questionnaire), built environment (neighborhood audit). Analyses include multi-level models. Two hundred twenty-four sixth and seventh grade girls [mean(sd) age = 12.1(0.7) years] from 12 schools serving low-income, primarily African American communities; mean MVPA 35.4 min (mean days assessed = 5.8). Girls in schools with more positive perceptions of the neighborhood environment surrounding the school were less active (β = 7.2, p = 0.043). Having "places to go within walking distance" (perceptions) and number of food stores near school (built environment) positively relate to MVPA (β = 5.5, p = 0.042 and β = 0.59, p = 0.047). Among neighborhoods surrounding urban schools, positive perceptions do not predict PA; accessibility, via both perceived and built environment, support PA.

  11. Are Neighborhood-Level Characteristics Associated with Indoor Allergens in the Household?

    PubMed Central

    Rosenfeld, Lindsay; Rudd, Rima; Chew, Ginger L.; Emmons, Karen; Acevedo-García, Dolores

    2010-01-01

    Background Individual home characteristics have been associated with indoor allergen exposure; however, the influence of neighborhood-level characteristics has not been well-studied. We defined neighborhoods as community districts determined by the New York Department of City Planning. Objective We examined the relationship between neighborhood-level characteristics and the presence of dust mite (Der f 1), cat (Fel d 1), cockroach (Bla g 2), and mouse (MUP) allergens in the household. Methods Using data from the Puerto Rican Asthma Project, a birth cohort of Puerto Rican children at risk of allergic sensitization (n=261) we examined associations between neighborhood characteristics (percent tree canopy, asthma hospitalizations per 1000 children, roadway length within 100 meters of buildings, serious housing code violations per 1000 rental units, poverty rates, and felony crime rates) and the presence of indoor allergens. Allergen cutpoints were used for categorical analyses and defined as follows: dust mite: >0.25 μg/g; cat: >1 μg/g; cockroach: >1 U/g; mouse: >1.6 μg/g. Results Serious housing code violations were statistically significantly positively associated with dust mite, cat and mouse allergens (continuous variables), adjusting for mother's income and education, and all neighborhood-level characteristics. In multivariable logistic regression analyses, medium levels of housing code violations were associated with higher dust mite and cat allergens (1.81, 95%CI: 1.08, 3.03 and 3.10, 95%CI: 1.22, 7.92, respectively). A high level of serious housing code violations was associated with higher mouse allergen (2.04, 95%CI: 1.15, 3.62). A medium level of housing code violations was associated with higher cockroach allergen (3.30, 95%CI: 1.11, 9.78). Conclusions Neighborhood-level characteristics, specifically housing code violations, appear to be related to indoor allergens, which may have implications for future research explorations and policy decisions. PMID:20100024

  12. [Neighborhood environment quality, individual-level social capital, and depressive symptoms among adolescents].

    PubMed

    Asakura, Takashi

    2011-09-01

    We aimed to develop measures to assess features of neighborhood quality and individual social capital, as well as their associations with depressive symptoms among early adolescents. To determine whether relations of depressive symptoms with neighborhood quality might be contingent upon the level of individual cognitive social capital, neighborhood-by-cognitive social capital interaction terms were examined. A qualitative study was conducted to elicit the perceptions of early adolescents about their neighborhood environment. Subsequently, we recruited 2,002 eighth graders and asked for responses to a self-administered questionnaire. The variables analyzed in this study were the Center for Epidemiologic Studies-Depression scale (10 items), features of neighborhood quality, cognitive and structural individual social capital, and demographics. We adopted a generalized estimating equation regression model for the multivariate analysis. The analytic sample was 1,786 with no missing variable in the models. Seven subscales were devised to assess quality features of neighborhood environments with an examination of validity and reliability: "availability of services," "good neighborhood relations," "spaces for recreation," "insecurity and danger of accidents," "dirty-looking, squalid, unclean," "civic communities," and "aesthetic look." We also developed a scale of individual cognitive social capital, which consisted of three constructs: "social trust," "reciprocity," and "social norms." Additionally, the number of social activities in which subjects participated was counted as an indicator of the structural aspect of individual social capital. On examination with the generalized estimating equation regression model, "availability of services," "insecurity and danger of accidents," "dirty-looking, squalid, unclean," and cognitive social capital were significantly associated with the CES-D scores controlling for demographics. We also found a significant interplay between "dirty-looking, squalid, unclean" and the cognitive social capital for estimating scores of depressive symptoms. Improvement in features of neighborhood quality such as availability of services, cleanliness, and security and social order in terms of public policy as well as civic activities could contribute to promotion of mental health in adolescents. Individual cognitive social capital accumulated through experiencs of good social relationshisp in a community could also play important roles in maximizing mental health.

  13. Independent Associations and Interactions of Perceived Neighborhood and Psychosocial Constructs on Adults' Physical Activity.

    PubMed

    Dwyer, Laura A; Patel, Minal; Nebeling, Linda C; Oh, April Y

    2018-05-01

    Neighborhood and psychosocial variables are related to physical activity (PA), yet interactions between these factors in predicting PA are infrequently studied. This analysis examines the independent associations and interactions between self-reported neighborhood and psychosocial variables in relation to moderate to vigorous PA (MVPA) among adults from a US panel sample. In adjusted models, neighborhood social capital was positively associated with meeting MVPA guidelines. Fewer barriers, greater self-efficacy, and greater autonomous motivation also corresponded with greater odds of meeting MVPA guidelines. An interaction between social capital and autonomous motivation showed that social capital was only associated with MVPA when autonomous motivation was high. Participants who reported both high autonomous motivation and high social capital were most likely to meet MVPA guidelines. Neighborhood social capital, barriers, self-efficacy, and autonomous motivation may be important correlates in promoting adults' PA. Future directions include using objective neighborhood and PA data in similar analyses and investigating associations of neighborhood and psychosocial variables with multiple PA activities. Intervention research to promote PA should also examine whether effects of interventions targeting psychosocial constructs are moderated by features of an individual's neighborhood or whether perceived social capital can be addressed in interventions in conjunction with psychosocial variables.

  14. Interactions of psychosocial factors with built environments in explaining adolescents' active transportation.

    PubMed

    Wang, Xiaobo; Conway, Terry L; Cain, Kelli L; Frank, Lawrence D; Saelens, Brian E; Geremia, Carrie; Kerr, Jacqueline; Glanz, Karen; Carlson, Jordan A; Sallis, James F

    2017-07-01

    The present study examined independent and interacting associations of psychosocial and neighborhood built environment variables with adolescents' reported active transportation. Moderating effects of adolescent sex were explored. Mixed-effects regression models were conducted on data from the Teen Environment and Neighborhood observational study (N=928) in the Seattle, WA and Baltimore regions 2009-2011. Frequency index of active transportation to neighborhood destinations (dependent variable) and 7 psychosocial measures were reported by adolescents. Built environment measures included home walkability and count of nearby parks and recreation facilities using GIS procedures and streetscape quality from environmental audits. Results indicated all 3 environmental variables and 3 psychosocial variables (self-efficacy, social support from peers, and enjoyment of physical activity) had significant positive main effects with active transportation (Ps<0.05). Three of 21 two-way interactions were significant in explaining active transportation (Ps<0.1): self-efficacy×GIS-based walkability index, barriers to activity in neighborhood×MAPS streetscape scores, and self-efficacy×GIS-based counts of parks and recreation facilities. In each two-way interaction the highest active transportation was found among adolescents with the combination of activity-supportive built environment and positive psychosocial characteristics. Three-way interactions with sex indicated similar associations for girls and boys, with one exception. Results provided modest support for the ecological model principle of interactions across levels, highlight the importance of both built environment and psychosocial factors in shaping adolescents' active transportation, demonstrated the possibility of sex-specific findings, and suggested strategies for improving adolescents' active transportation may be most effective when targeting multiple levels of influence. Copyright © 2017 Elsevier Inc. All rights reserved.

  15. Neighborhood Influences on Emergency Medical Services Use for Acute Stroke: A Population-Based Cross-sectional Study.

    PubMed

    Meurer, William J; Levine, Deborah A; Kerber, Kevin A; Zahuranec, Darin B; Burke, James; Baek, Jonggyu; Sánchez, Brisa; Smith, Melinda A; Morgenstern, Lewis B; Lisabeth, Lynda D

    2016-03-01

    Delay to hospital arrival limits acute stroke treatment. Use of emergency medical services (EMS) is key in ensuring timely stroke care. We aim to identify neighborhoods with low EMS use and to evaluate whether neighborhood-level factors are associated with EMS use. We conducted a secondary analysis of data from the Brain Attack Surveillance in Corpus Christi project, a population-based stroke surveillance study of ischemic stroke and intracerebral hemorrhage cases presenting to emergency departments in Nueces County, TX. The primary outcome was arrival by EMS. The primary exposures were neighborhood resident age, poverty, and violent crime. We estimated the association of neighborhood-level factors with EMS use, using hierarchic logistic regression, controlling for individual factors (stroke severity, ethnicity, and age). During 2000 to 2009 there were 4,004 identified strokes, with EMS use data available for 3,474. Nearly half (49%) of stroke cases arrived by EMS. Adjusted stroke EMS use was lower in neighborhoods with higher family income (odds ratio [OR] 0.86; 95% confidence interval [CI] 0.75 to 0.97) and a larger percentage of older adults (OR 0.70; 95% CI 0.56 to 0.89). Individual factors associated with stroke EMS use included white race (OR 1.41; 95% CI 1.13 to 1.76) and older age (OR 1.36 per 10-year age increment; 95% CI 1.27 to 1.46). The proportion of neighborhood stroke cases arriving by EMS ranged from 17% to 71%. The fully adjusted model explained only 0.3% (95% CI 0% to 1.1%) of neighborhood EMS stroke use variance, indicating that individual factors are more strongly associated with stroke EMS use than neighborhood factors. Although some neighborhood-level factors were associated with EMS use, patient-level factors explained nearly all variability in stroke EMS use. In this community, strategies to increase EMS use should target individuals rather than specific neighborhoods. Copyright © 2015 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

  16. Does the Neighborhood Area of Residence Influence Non-Attendance in an Urban Mammography Screening Program? A Multilevel Study in a Swedish City

    PubMed Central

    Lagerlund, Magdalena; Merlo, Juan; Vicente, Raquel Pérez; Zackrisson, Sophia

    2015-01-01

    Background and aim The public health impact of population-based mammography screening programs depends on high participation rates. Thus, monitoring participation rates, as well as understanding and considering the factors influencing attendance, is important. With the goal to acquire information on the appropriate level of intervention for increasing screening participation our study aimed to (1) examine whether, over and above individual factors, the neighborhood of residence influences a woman’s mammography non-attendance, and (2) evaluate, whether knowing a woman’s neighborhood of residence would be sufficient to predict non-attendance. Methods We analyze all women invited to mammography screening in 2005–09, residing in the city of Malmö, Sweden. Information regarding mammography screening attendance was linked to data on area of residence, demographic and socioeconomic characteristics available from Statistics Sweden. The influence of individual and neighborhood factors was assessed by multilevel logistic regression analysis with 29,901 women nested within 212 neighborhoods. Results The prevalence of non-attendance among women was 18.3%. After adjusting for individual characteristics, the prevalence in the 212 neighborhoods was 3.6%. Neighborhood of residence had little influence on non-attendance. The multilevel analysis indicates that 8.4% of the total individual differences in the propensity of non-attendance were at the neighborhood level. However, when adjusting for specific individual characteristics this general contextual effect decreased to 1.8%. This minor effect was explained by the sociodemographic characteristic of the neighborhoods. The discriminatory accuracy of classifying women according to their non-attendance was 0.747 when considering only individual level variables, and 0.760 after including neighborhood level as a random effect. Conclusion Our results suggest that neighborhoods of residence in Malmö, Sweden (as defined by small-area market statistics (SAMS) areas) do not condition women’s participation in population based mammography screening. Thus, interventions should be directed to the whole city and target women with a higher risk of non-attendance. PMID:26460609

  17. Long-Term Coarse Particulate Matter Exposure and Heart Rate Variability in the Multi-Ethnic Study of Atherosclerosis (MESA)

    PubMed Central

    Adhikari, Richa; D’Souza, Jennifer; Solimon, Elsayed Z.; Burke, Gregory L.; Daviglus, Martha; Jacobs, David R.; Park, Sung Kyun; Sheppard, Lianne; Thorne, Peter S.; Kaufman, Joel D.; Larson, Timothy V.; Adar, Sara D.

    2017-01-01

    Background Reduced heart rate variability, a marker of impaired cardiac autonomic function, has been linked to short-term exposure to airborne particles. This research adds to the literature by examining associations with long-term exposures to coarse particles (PM10-2.5). Methods Using electrocardiogram recordings from 2,780 participants (45-84 years) from three Multi-Ethnic Study of Atherosclerosis sites, we assessed the standard deviation of normal-to-normal intervals (SDNN) and root-mean square differences of successive normal-to-normal intervals (rMSSD) at a baseline (2000-2002) and follow-up (2010-2012) examination (mean visits/person=1.5). Annual average concentrations of PM10-2.5 mass, copper, zinc, phosphorus, silicon, and endotoxin were estimated using site-specific spatial prediction models. We assessed associations for baseline heart rate variability and rate of change in heart rate variability over time using multivariable mixed models adjusted for time, sociodemographic, lifestyle, health, and neighborhood confounders, including co-pollutants. Results In our primary models adjusted for demographic and lifestyle factors and site, PM10-2.5 mass was associated with 1.0% (95% CI: -4.1, 2.1%) lower SDNN levels per interquartile range of 2 μg/m3. Stronger associations, however, were observed prior to site adjustment and with increasing residential stablity. Similar patterns were found for rMSSD. We found little evidence for associations with other chemical species and with with the rate of change in heart rate variability, though endotoxin was associated with increasing heart rate variability over time. Conclusion We found only weak evidence that long-term PM10-2.5 exposures are associated with lowered heart rate variability. Stronger associations among residentially stable individuals suggest that confirmatory studies are needed. PMID:27035690

  18. Neighborhood social capital and crime victimization: comparison of spatial regression analysis and hierarchical regression analysis.

    PubMed

    Takagi, Daisuke; Ikeda, Ken'ichi; Kawachi, Ichiro

    2012-11-01

    Crime is an important determinant of public health outcomes, including quality of life, mental well-being, and health behavior. A body of research has documented the association between community social capital and crime victimization. The association between social capital and crime victimization has been examined at multiple levels of spatial aggregation, ranging from entire countries, to states, metropolitan areas, counties, and neighborhoods. In multilevel analysis, the spatial boundaries at level 2 are most often drawn from administrative boundaries (e.g., Census tracts in the U.S.). One problem with adopting administrative definitions of neighborhoods is that it ignores spatial spillover. We conducted a study of social capital and crime victimization in one ward of Tokyo city, using a spatial Durbin model with an inverse-distance weighting matrix that assigned each respondent a unique level of "exposure" to social capital based on all other residents' perceptions. The study is based on a postal questionnaire sent to 20-69 years old residents of Arakawa Ward, Tokyo. The response rate was 43.7%. We examined the contextual influence of generalized trust, perceptions of reciprocity, two types of social network variables, as well as two principal components of social capital (constructed from the above four variables). Our outcome measure was self-reported crime victimization in the last five years. In the spatial Durbin model, we found that neighborhood generalized trust, reciprocity, supportive networks and two principal components of social capital were each inversely associated with crime victimization. By contrast, a multilevel regression performed with the same data (using administrative neighborhood boundaries) found generally null associations between neighborhood social capital and crime. Spatial regression methods may be more appropriate for investigating the contextual influence of social capital in homogeneous cultural settings such as Japan. Copyright © 2012 Elsevier Ltd. All rights reserved.

  19. Life satisfaction in early adolescence: personal, neighborhood, school, family, and peer influences.

    PubMed

    Oberle, Eva; Schonert-Reichl, Kimberly A; Zumbo, Bruno D

    2011-07-01

    Drawing from an ecological assets framework as well as research and theory on positive youth development, this study examined the relationship of early adolescents' satisfaction with life to trait optimism and assets representing the social contexts in which early adolescents spend most of their time. Self-reports of satisfaction with life, optimism, and ecological assets in the school (school connectedness), neighborhood (perceived neighborhood support), family (perceived parental support), and peer group (positive peer relationships) were assessed in a sample of 1,402 4th to 7th graders (47% female) from 25 public elementary schools. Multilevel modeling (MLM) was conducted to analyze the variability in life satisfaction both at the individual and the school level. As hypothesized, adding optimism and the dimensions representing the ecology of early adolescence to the model significantly reduced the variability in life satisfaction at both levels of analysis. Both personal (optimism) and all of the ecological assets significantly and positively predicted early adolescents' life satisfaction. The results suggest the theoretical and practical utility of an assets approach for understanding life satisfaction in early adolescence.

  20. The Synergy of Family and Neighborhood on Rural Dating Violence Victimization.

    PubMed

    Foshee, Vangie A; Chang, Ling-Yin; McNaughton Reyes, H Luz; Chen, May S; Ennett, Susan T

    2015-09-01

    Rural adolescents are at high risk for dating violence victimization (DVV), which has serious negative consequences. Understanding more about the conditions that increase DVV risk for rural adolescents is needed to inform prevention efforts. In response to calls for examining the influence of upper levels of the social ecology on adolescent dating violence, this study examined whether associations between the family context and physical DVV were conditioned by the characteristics of the neighborhoods in which the family resided. Data were from a multi-wave longitudinal study of 3,236 rural adolescents nested in 65 block groups, which defined neighborhoods. Data were collected between 2003 and 2005. Multilevel growth curve modeling was conducted in 2014 to test hypothesized synergistic effects of the family and neighborhood on trajectories of physical DVV from grade 8 to 12. Low parental closeness was a DVV risk in residentially stable (p<0.001), but not unstable, neighborhoods. Family aggression was a DVV risk, regardless of neighborhood characteristics (p=0.001). Low parental monitoring and rule setting were not DVV risks and their effects were not moderated by neighborhood characteristics. Neighborhood ethnic heterogeneity was significantly (p<0.05) positively associated with DVV, but neighborhood economic disadvantage, social disorganization, and violence were not associated with DVV. None of the effects varied by sex of the adolescent, across time (grade), or by the combination of sex and time. Findings demonstrate the importance of considering the family and neighborhood, and particularly their synergistic effects in efforts to prevent adolescent DVV. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  1. Relation among HPA and HPG neuroendocrine systems, transmissible risk and neighborhood quality on development of substance use disorder: results of a 10-year prospective study.

    PubMed

    Tarter, Ralph E; Kirisci, Levent; Kirillova, Galina; Reynolds, Maureen; Gavaler, Judy; Ridenour, Ty; Horner, Michelle; Clark, Duncan; Vanyukov, Michael

    2013-01-01

    Research has shown involvement of hormones of the hypothalamic pituitary adrenal (HPA) axis and hypothalamic pituitary gonadal (HPG) axis in the regulation of behaviors that contribute to SUD risk and its intergenerational transmission. Neighborhood environment has also been shown to relate to hormones of these two neuroendocrine systems and behaviors associated with SUD liability. Accordingly, it was hypothesized that (1) parental SUD severity and neighborhood quality correlate with activity of the HPG axis (testosterone level) and HPA axis (cortisol stability), and (2) transmissible risk during childhood mediates these hormone variables on development of SUD measured in adulthood. Transmissible risk for SUD measured by the transmissible liability index (TLI; Vanyukov et al., 2009) along with saliva cortisol and plasma testosterone were prospectively measured in boys at ages 10-12 and 16. Neighborhood quality was measured using a composite score encompassing indicators of residential instability and economic disadvantage. SUD was assessed at age 22. Neither hormone variable cross-sectionally correlated with transmissible risk measured at ages 10-12 and 16. However, the TLI at age 10-12 predicted testosterone level and cortisol stability at age 16. Moreover, testosterone level, correlated with cortisol stability at age 16, predicted SUD at age 22. HPA and HPG axes activity do not underlie variation in TLI, however, high transmissible risk in childhood predicts neuroendocrine system activity presaging development of SUD. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  2. Effects of semantic neighborhood density in abstract and concrete words.

    PubMed

    Reilly, Megan; Desai, Rutvik H

    2017-12-01

    Concrete and abstract words are thought to differ along several psycholinguistic variables, such as frequency and emotional content. Here, we consider another variable, semantic neighborhood density, which has received much less attention, likely because semantic neighborhoods of abstract words are difficult to measure. Using a corpus-based method that creates representations of words that emphasize featural information, the current investigation explores the relationship between neighborhood density and concreteness in a large set of English nouns. Two important observations emerge. First, semantic neighborhood density is higher for concrete than for abstract words, even when other variables are accounted for, especially for smaller neighborhood sizes. Second, the effects of semantic neighborhood density on behavior are different for concrete and abstract words. Lexical decision reaction times are fastest for words with sparse neighborhoods; however, this effect is stronger for concrete words than for abstract words. These results suggest that semantic neighborhood density plays a role in the cognitive and psycholinguistic differences between concrete and abstract words, and should be taken into account in studies involving lexical semantics. Furthermore, the pattern of results with the current feature-based neighborhood measure is very different from that with associatively defined neighborhoods, suggesting that these two methods should be treated as separate measures rather than two interchangeable measures of semantic neighborhoods. Copyright © 2017 Elsevier B.V. All rights reserved.

  3. Decomposition Analysis of Black-White Disparities in Birth Outcomes: The Relative Contribution of Air Pollution and Social Factors in California.

    PubMed

    Benmarhnia, Tarik; Huang, Jonathan; Basu, Rupa; Wu, Jun; Bruckner, Tim A

    2017-10-04

    Racial/ethnic disparities in preterm birth (PTB) are well documented in the epidemiological literature, but little is known about the relative contribution of different social and environmental determinants of such disparities in birth outcome. Furthermore, increased focus has recently turned toward modifiable aspects of the environment, including physical characteristics, such as neighborhood air pollution, to reduce disparities in birth outcomes. To apply decomposition methods to understand disparities in preterm birth (PTB) prevalence between births of non-Hispanic black individuals and births of non-Hispanic white individuals in California, according to individual demographics, neighborhood socioeconomic environment, and neighborhood air pollution. We used all live singleton births in California spanning 2005 to 2010 and estimated PTBs and other adverse birth outcomes for infants borne by non-Hispanic black mothers and white mothers. To compare individual-level, neighborhood-level, and air pollution [Particulate Matter, 2.5 micrometers or less (PM 2.5 ) and nitrogen dioxide (NO 2 )] predictors, we conducted a nonlinear extension of the Blinder-Oaxaca method to decompose racial/ethnic disparities in PTB. The predicted differences in probability of PTB between black and white infants was 0.056 (95% CI: 0.054, 0.058). All included predictors explained 37.8% of the black-white disparity. Overall, individual (17.5% for PTB) and neighborhood-level variables (16.1% for PTB) explained a greater proportion of the black-white difference in birth outcomes than air pollution (5.7% for PTB). Our results suggest that, although the role of individual and neighborhood factors remains prevailing in explaining black-white differences in birth outcomes, the individual contribution of PM 2.5 is comparable in magnitude to any single individual- or neighborhood-level factor. https://doi.org/10.1289/EHP490.

  4. Harnessing Technology and Citizen Science to Support Neighborhoods that Promote Active Living in Mexico.

    PubMed

    Rosas, Lisa G; Salvo, Deborah; Winter, Sandra J; Cortes, David; Rivera, Juan; Rodriguez, Nicole M; King, Abby C

    2016-12-01

    Middle- and low-income countries bear 80 % of the global chronic disease burden. Population-level, multi-sectoral approaches to promoting healthful lifestyles that take into local physical, socioeconomic, and sociocultural characteristics of both the environment and the population are needed. The "Nuestra Voz (Our Voice)" is one such approach that involves neighborhood residents acting as "citizen scientists" to systematically gather information on the barriers and facilitators of physical activity in their neighborhoods and then use their data to collectively advocate for local environmental- and policy-level changes to support active living. We pilot tested this approach in Cuernavaca, Mexico with adults and adolescents. This community-engaged and participatory approach is driven by residents, who utilize a GPS-enabled electronic tablet-based application with simple audio-based instructions to take photographs and record audio narratives of facets of their neighborhood that promote or hinder active living. After collecting these data, the citizen scientists come together in a community meeting and use their data to prioritize realistic, multi-level changes for promoting active living in their neighborhoods. A survey assessed participants' acceptability of the approach. Participating citizen scientists included 32 adults and 9 adolescents. The citizen scientists rated the acceptability of five of the nine acceptability survey items with an average of 4.0 or higher out of 5.0, indicating they thought it was "fun," were comfortable carrying the tablet, were likely to use it again, and would recommend it to friends and family. Items with average scores of less than 4 were all related to safety concerns. The most common barriers reported by citizen scientists using the tablet were poor sidewalk quality, presence of trash, negative characteristics of the streets, unpleasant aesthetics (e.g., graffiti), and presence of parks and recreational facilities. The Our Voice citizen scientist approach using the Discovery Tool has high potential for assisting communities in diverse settings to begin to identify both local barriers to active living as well as potentially useful strategies for promoting physical activity in culturally congruent ways that are appropriate and feasible in the local context.

  5. Are immigrant enclaves healthy places to live? The Multi-ethnic Study of Atherosclerosis.

    PubMed

    Osypuk, Theresa L; Diez Roux, Ana V; Hadley, Craig; Kandula, Namratha R

    2009-07-01

    The growing size and changing composition of the foreign-born population in the USA highlights the importance of examining the health consequences of living in neighborhoods with higher proportions of immigrants. Using data from the Multi-ethnic Study of Atherosclerosis in four US cities, we examined whether neighborhood immigrant composition was associated with health behaviors (diet, physical activity) among Hispanic and Chinese Americans (n=1902). Secondarily we tested whether neighborhoods with high proportions of immigrants exhibited better or worse neighborhood quality, and whether these dimensions of neighborhood quality were associated with healthy behaviors. Neighborhood immigrant composition was defined based on the Census 2000 tract percent of foreign-born from Latin-America, and separately, percent foreign-born from China. After adjustment for age, gender, income, education, neighborhood poverty, and acculturation, living in a tract with a higher proportion of immigrants was associated with lower consumption of high-fat foods among Hispanics and Chinese, but with being less physically active among Hispanics. Residents in neighborhoods with higher proportions of immigrants reported better healthy food availability, but also worse walkability, fewer recreational exercise resources, worse safety, lower social cohesion, and lower neighborhood-based civic engagement. Associations of neighborhood immigrant composition with diet persisted after adjustment for reported neighborhood characteristics, and associations with physical activity were attenuated. Respondent-reported neighborhood healthy food availability, walkability, availability of exercise facilities and civic participation remained associated with behaviors after adjusting for immigrant composition and other covariates. Results show that living in an immigrant enclave is not monolithically beneficial and may have different associations with different health behaviors.

  6. Accounting for context in studies of health inequalities: a review and comparison of analytic approaches.

    PubMed

    Schempf, Ashley H; Kaufman, Jay S

    2012-10-01

    A common epidemiologic objective is to evaluate the contribution of residential context to individual-level disparities by race or socioeconomic position. We reviewed analytic strategies to account for the total (observed and unobserved factors) contribution of environmental context to health inequalities, including conventional fixed effects (FE) and hybrid FE implemented within a random effects (RE) or a marginal model. To illustrate results and limitations of the various analytic approaches of accounting for the total contextual component of health disparities, we used data on births nested within neighborhoods as an applied example of evaluating neighborhood confounding of racial disparities in gestational age at birth, including both a continuous and a binary outcome. Ordinary and RE models provided disparity estimates that can be substantially biased in the presence of neighborhood confounding. Both FE and hybrid FE models can account for cluster level confounding and provide disparity estimates unconfounded by neighborhood, with the latter having greater flexibility in allowing estimation of neighborhood-level effects and intercept/slope variability when implemented in a RE specification. Given the range of models that can be implemented in a hybrid approach and the frequent goal of accounting for contextual confounding, this approach should be used more often. Published by Elsevier Inc.

  7. SOME BEHAVIORAL CORRELATES OF ORGANIZATIONAL CLIMATES AND CULTURES.

    ERIC Educational Resources Information Center

    HAMATY, GEORGE G.

    THE INFLUENCE OF SCHOOL CULTURES (CONVENTIONAL, WORK, AND IMPULSE EXPRESSION) ON SELECTED PUPIL AND TEACHER BEHAVIOR VARIABLES WAS STUDIED. THE VARIABLES INCLUDED PUPIL ACHIEVEMENT, TEACHER AND PUPIL ABSENTEEISM, AND TEACHER TURNOVER. ALSO STUDIED WAS THE SOCIOECONOMIC LEVEL OF SCHOOL NEIGHBORHOODS AS RELATED TO SCHOOL CULTURE. TEACHERS AND PUPILS…

  8. Revisiting causal neighborhood effects on individual ischemic heart disease risk: a quasi-experimental multilevel analysis among Swedish siblings.

    PubMed

    Merlo, Juan; Ohlsson, Henrik; Chaix, Basile; Lichtenstein, Paul; Kawachi, Ichiro; Subramanian, S V

    2013-01-01

    Neighborhood socioeconomic disadvantage is associated to increased individual risk of ischemic heart disease (IHD). However, the value of this association for causal inference is uncertain. Moreover, neighborhoods are often defined by available administrative boundaries without evaluating in which degree these boundaries embrace a relevant socio-geographical context that condition individual differences in IHD risk. Therefore, we performed an analysis of variance, and also compared the associations obtained by conventional multilevel analyses and by quasi-experimental family-based design that provides stronger evidence for causal inference. Linking the Swedish Multi-Generation Register to several other national registers, we analyzed 184,931 families embracing 415,540 full brothers 45-64 years old in 2004, and residing in 8408 small-area market statistics (SAMS) considered as "neighborhoods" in our study. We investigated the association between low neighborhood income (categorized in groups by deciles) and IHD risk in the next four years. We distinguished between family mean and intrafamilial-centered low neighborhood income, which allowed us to investigate both unrelated individuals from different families and full brothers within families. We applied multilevel logistic regression techniques to obtain odds ratios (OR), variance partition coefficients (VPC) and 95% credible intervals (CI). In unrelated individuals a decile unit increase of low neighborhood income increased individual IHD risk (OR = 1.04, 95% CI: 1.03-1.07). In the intrafamilial analysis this association was reduced (OR = 1.02, 95% CI: 1.02-1.04). Low neighborhood income seems associated with IHD risk in middle-aged men. However, despite the family-based design, we cannot exclude residual confounding by genetic and non-shared environmental factors. Besides, the low neighborhood level VPC = 1.5% suggest that the SAMS are a rather inappropriate construct of the socio-geographic context that conditions individual variance in IHD risk. In contrast the high family level VPC = 20.1% confirms the relevance of the family context for understanding IHD risk. Copyright © 2012 Elsevier Ltd. All rights reserved.

  9. Neighborhood socioeconomic status, sleep duration and napping in middle-to-old aged US men and women.

    PubMed

    Xiao, Qian; Hale, Lauren

    2018-04-25

    Earlier studies have linked neighborhood disadvantage with poor sleep outcomes. However, little is known about the association between changes in one's neighborhood over time and night sleep and napping. In over 300,000 middle-to-old aged Americans, we examined neighborhood socioeconomic status (SES) and change in neighborhood SES in relation to nocturnal sleep duration and napping. Nocturnal sleep duration and daytime napping were self-reported at baseline (1995-1996). Participants also reported baseline residential addresses, which were linked to US censuses. We derived a neighborhood SES index using census variables and calculated the baseline level and change (1990-2000) in neighborhood SES. Multinomial logistic regression was used to estimate the associations between neighborhood SES over time and nocturnal sleep and napping. Lower baseline neighborhood SES was associated short sleep, long sleep and napping. When compared with the highest quintile of neighborhood SES, the lowest was associated with 46% and 72% increase in relative risk (RR) of reporting very short (< 5 hours) sleep, 28% and 19% higher RR of long (≥9 hours) sleep and 95% and 85% increase in long (≥1 hours) nap in men and women, respectively. Moreover, a decrease in neighborhood SES was associated with higher RR of reporting very short sleep in women; while an improvement in neighborhood SES was associated with an increase in RR of long sleep in men. Neighborhood disadvantage and worsening neighborhood conditions were associated with unhealthy sleep behaviors. These results reinforce a growing literature on the potential importance of neighborhood context for understanding sleep health.

  10. Aging in Neighborhoods Differing in Walkability and Income: Associations with Physical Activity and Obesity in Older Adults

    PubMed Central

    King, Abby C.; Sallis, James F.; Frank, Lawrence D.; Saelens, Brian E.; Cain, Kelli; Conway, Terry L.; Chapman, James E.; Ahn, David K.; Kerr, Jacqueline

    2011-01-01

    While there is a growing literature on the relations between neighborhood design and health factors such as physical activity and obesity, less focus has been placed on older adults, who may be particularly vulnerable to environmental influences. This study evaluates the relations among objectively measured neighborhood design, mobility impairment, and physical activity and body weight in two U.S. regional samples of community dwelling older adults living in neighborhoods differing in walkability and income levels. An observational design involving two time points six months apart was employed between 2005–2008. U.S. Census block groups in Seattle-King County, Washington and Baltimore. Maryland-Washington DC regions were selected via geographic information systems to maximize variability in walkability and income. Participants were 719 adults ages 66 years and older who were able to complete surveys in English and walk at least 10 feet continuously. Measurements included reported walking or bicycling for errands (i.e., transport activity) and other outdoor aerobic activities measured via the CHAMPS questionnaire: accelerometry-based moderate-to-vigorous physical activity; reported body mass index; and reported lower-extremity mobility impairment measured via the Late-Life Function and Disability Instrument. Across regions, time, and neighborhood income, older adults living in more walkable neighborhoods had more transport activity and moderate-to- vigorous physical activity and lower body mass index relative to those living in less walkable neighborhoods. The most mobility-impaired adults living in more walkable neighborhoods reported transport activity levels that were similar to less mobility-impaired adults living in less walkable neighborhoods. The results add to the small literature aimed at understanding how neighborhood design may influence physical activity and related aspects of health linked with day-to-day function and independence as people age. PMID:21975025

  11. Phonological neighborhood and word frequency effects in the stuttered disfluencies of children who stutter.

    PubMed

    Anderson, Julie D

    2007-02-01

    The purpose of this study was to examine (a) the role of neighborhood density (number of words that are phonologically similar to a target word) and frequency variables on the stuttering-like disfluencies of preschool children who stutter, and (b) whether these variables have an effect on the type of stuttering-like disfluency produced. A 500+ word speech sample was obtained from each participant (N = 15). Each stuttered word was randomly paired with the firstly produced word that closely matched it in grammatical class, familiarity, and number of syllables/phonemes. Frequency, neighborhood density, and neighborhood frequency values were obtained for the stuttered and fluent words from an online database. Findings revealed that stuttered words were lower in frequency and neighborhood frequency than fluent words. Words containing part-word repetitions and sound prolongations were also lower in frequency and/or neighborhood frequency than fluent words, but these frequency variables did not have an effect on single-syllable word repetitions. Neighborhood density failed to influence the susceptibility of words to stuttering, as well as the type of stuttering-like disfluency produced. In general, findings suggest that neighborhood and frequency variables not only influence the fluency with which words are produced in speech, but also have an impact on the type of stuttering-like disfluency produced.

  12. Length of residence and social integration: The contingent effects of neighborhood poverty

    PubMed Central

    Keene, Danya; Bader, Michael; Ailshire, Jennifer

    2013-01-01

    Given the well-established benefits of social integration for physical and mental health, studies have begun to explore how access to social ties and social support may be shaped by the residential context in which people live. As a critical health exposure, social integration may be one important mechanism by which places affect health. This paper brings together research on two previously studied contextual determinants of social integration. Specifically, we use multi-level data from the Chicago Community Adult Health Survey to investigate the relationships between an individual’s length of residence and measures of social integration. We then investigate the extent to which these relationships are moderated by neighborhood poverty. We find that the relationship between length of residence and some measures of social integration are stronger in poor neighborhoods than in more affluent ones. PMID:23501379

  13. Walking to Work: The Roles of Neighborhood Walkability and Socioeconomic Deprivation.

    PubMed

    Kelly, Cheryl M; Lian, Min; Struthers, Jim; Kammrath, Anna

    2015-06-16

    There are few studies that aimed to find a relationship between transportation-related physical activity and neighborhood socioeconomic condition using a composite deprivation index. The purpose of this study is to assess the relationship of neighborhood walkability and socioeconomic deprivation with percentage of adults walking to work. A walkability index and a socioeconomic deprivation index were created at block group-level. The outcome variable, percentage of adults who walk to work was dichotomized as < 5% of the block group walking to work low and ≥ 5% of the block group walking to work as high and applied logistic regression to examine the association of walkability and socioeconomic deprivation with walking to work. Individuals in the most walkable neighborhoods are almost 5 times more likely to walk to work than individuals in the least walkable neighborhoods (OR = 4.90, 95% CI = 2.80-8.59). After adjusting for neighborhood socioeconomic deprivation, individuals in the most walkable neighborhoods are almost 3 times more likely to walk to work than individuals in the least walkable neighborhoods (OR = 2.98, 95% CI = 1.62-5.49). Walkability (as measured by the walkability index) is a very strong indicator of walking to work even after controlling for neighborhood socioeconomic disadvantage.

  14. Association of Walkability With Obesity in Baltimore City, Maryland

    PubMed Central

    Gittelsohn, Joel; Zonderman, Alan B.; Evans, Michele K.; Gary-Webb, Tiffany L.

    2011-01-01

    Objectives. To investigate the association between walkability and obesity, we studied adults residing in Baltimore City, Maryland, in neighborhoods of varying racial and socioeconomic composition. Methods. We conducted a cross-sectional study of 3493 participants from the study Healthy Aging in Neighborhoods of Diversity across the Life Span. We used the Pedestrian Environment Data Scan to measure neighborhood walkability in 34 neighborhoods of diverse racial and socioeconomic composition in which the study participants lived. Confirmatory factor analysis was used to determine walkability scores. Multilevel modeling was used to determine prevalence ratios for the association between walkability and obesity. Results. Among individuals living in predominately White and high-socioeconomic status (SES) neighborhoods, residing in highly walkable neighborhoods was associated with a lower prevalence of obesity when compared with individuals living in poorly walkable neighborhoods, after adjusting for individual-level demographic variables (prevalence ratio–[PR] = 0.58; P = <.001 vs PR = 0.80; P = .004). Prevalence ratios were similar after controlling for the perception of crime, physical activity, and main mode of transportation. The association between walkability and obesity for individuals living in low-SES neighborhoods was not significant after accounting for main mode of transportation (PR = 0.85; P = .060). Conclusions. Future research is needed to determine how differences in associations by neighborhood characteristics may contribute to racial disparities in obesity. PMID:21164099

  15. The relationship of area-level sociodemographic characteristics, household composition and individual-level socioeconomic status on walking behavior among adults.

    PubMed

    Hearst, Mary O; Sirard, John R; Forsyth, Ann; Parker, Emily D; Klein, Elizabeth G; Green, Christine G; Lytle, Leslie A

    2013-04-01

    Understanding the contextual factors associated with why adults walk is important for those interested in increasing walking as a mode of transportation and leisure. This paper investigates the relationships between neighborhood-level sociodemographic context, individual level sociodemographic characteristics and walking for leisure and transport. Data from two community-based studies of adults (n=550) were used to determine the association between the area-sociodemographic environment (ASDE), calculated from U.S. Census variables, and individual-level SES as potential correlates of walking behavior. Descriptive statistics, mean comparisons and Pearson's correlations coefficients were used to assess bivariate relationships. Generalized estimating equations were used to model the relationship between ASDE, as quartiles, and walking behavior. Adjusted models suggest adults engage in more minutes of walking for transportation and less walking for leisure in the most disadvantaged compared to the least disadvantaged neighborhoods but adding individual level demographics and SES eliminated the significant results. However, when models were stratified for free or reduced cost lunch, of those with children who qualified for free or reduced lunch, those who lived in the wealthiest neighborhoods engaged in 10.7 minutes less of total walking per day compared to those living in the most challenged neighborhoods (p<0.001). Strategies to increase walking for transportation or leisure need to take account of individual level socioeconomic factors in addition to area-level measures.

  16. School and Neighborhood Predictors of Physical Fitness in Elementary School Students.

    PubMed

    Kahan, David; McKenzie, Thomas L

    2017-06-01

    We assessed the associations of 5 school and 7 neighborhood variables with fifth-grade students achieving Healthy Fitness Zone (HFZ) or Needs Improvement-Health Risk (NI-HR) on aerobic capacity (AC) and body composition (BC) physical fitness components of the state-mandated FITNESSGRAM ® physical fitness test. Data for outcome (physical fitness) and predictor (school and neighborhood) variables were extracted from various databases (eg, Data Quest, Walk Score ® ) for 160 schools located in San Diego, California. Predictor variables that were at least moderately correlated (|r| ≥ .30) with ≥1 outcome variables in univariate analyses were retained for ordinary least squares regression analyses. The mean percentages of students achieving HFZ AC (65.7%) and BC (63.5%) were similar (t = 1.13, p = .26), while those for NI-HR zones were significantly different (AC = 6.0% vs BC = 18.6%; t = 12.60, p < .001). Correlations were greater in magnitude for school than neighborhood demographics and stronger for BC than AC. The school variables free/reduced-price lunch (negative) and math achievement (positive) predicted fitness scores. Among neighborhood variables, percent Hispanic predicted failure of meeting the HFZ BC criterion. Creating school and neighborhood environments conducive to promoting physical activity and improving fitness is warranted. © 2017, American School Health Association.

  17. Combined effect of individual and neighborhood socioeconomic status on mortality in patients with newly diagnosed dyslipidemia: A nationwide Korean cohort study from 2002 to 2013.

    PubMed

    Shin, J; Cho, K H; Choi, Y; Lee, S G; Park, E-C; Jang, S-I

    2016-03-01

    The study aims to determine whether dyslipidemia patients living in less affluent neighborhood are at a higher risk of mortality compared to those living in more affluent neighborhoods. A population-based cohort study was conducted using a stratified representative sampling from the National Health Insurance claim data from 2002 to 2013. The target subjects comprise patients newly diagnosed with dyslipidemia receiving medication. We performed a survival analysis using the Cox proportional hazard model. Of 11,946 patients with dyslipidemia, 1053 (8.8%) subjects died during the follow-up period. Of the dyslipidemia patients earning a middle-class income, the adjusted HR in less affluent neighborhoods was higher than that in the more affluent neighborhoods compared to the reference category of high individual SES in more affluent neighborhoods (less affluent; hazard ratio (HR) = 1.64, 95% confidence interval (CI): 1.35-1.99 vs. more affluent; HR = 1.48, 95% CI: 1.20-1.81, respectively). We obtained consistent results in patients with lower income, wherein the adjusted HR in less affluent neighborhoods was higher than that in more affluent neighborhoods (less affluent; HR = 1.52, 95% CI: 1.16-1.97 vs. more affluent; HR = 1.41, 95% CI: 1.04-1.92, respectively). Living in a less affluent neighborhood contributes to higher mortality among dyslipidemia patients. The individual- and neighborhood-level variables cumulatively affect individuals such that the most at-risk individuals include those having both individual- and neighborhood-level risk factors. These findings raise important clinical and public health concerns and indicate that neighborhood SES approaches should be essentially considered in health-care policies similar to individual SES. Copyright © 2015 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

  18. Multi-level examination of correlates of active transportation to school among youth living within 1 mile of their school.

    PubMed

    Gropp, Kathleen M; Pickett, William; Janssen, Ian

    2012-10-16

    Active transportation to school is a method by which youth can build physical activity into their daily routines. We examined correlates of active transportation to school at both individual- (characteristics of the individual and family) and area- (school and neighborhood) levels amongst youth living within 1 mile (1.6 km) of their school. Using the 2009/10 Canadian Health Behaviour in School-Aged Children (HBSC) survey, we selected records of students (n = 3 997) from 161 schools that resided in an urban setting and lived within 1 mile from their school. Student records were compiled from: (1) individual-level HBSC student questionnaires; (2) area-level administrator (school) questionnaires; and (3) area-level geographic information system data sources. The outcome, active transportation to school, was determined via a questionnaire item describing the method of transportation that individual students normally use to get to school. Analyses focused on factors at multiple levels that potentially contribute to student decisions to engage in active transportation. Multi-level logistic regression analyses were employed. Approximately 18% of the variance in active transportation was accounted for at the area-level. Several individual and family characteristics were associated with engagement in active transportation to school including female gender (RR vs. males = 0.86, 95% CI: 0.80-0.91), having ≥2 cars in the household (RR vs. no cars = 0.87, 0.74-0.97), and family socioeconomic status (RR for 'not well off' vs. 'very well off' = 1.14, 1.01-1.26). Neighborhood characteristics most strongly related to active transportation were: the length of roads in the 1 km buffer (RR in quartile 4 vs. quartile 1 = 1.23, 1.00-1.42), the amount of litter in the neighborhood (RR for 'major problem' vs. 'no problem' = 1.47, 1.16-1.57), and relatively hot climates (RR in quartile 4 vs. quartile 1 = 1.33 CI, 1.05-1.53). Engagement in active transportation to school was related to multiple factors at multiple levels. We identified gender, perception of residential neighborhood safety, the percentage of streets with sidewalks, and the total length of roads as the most important correlates of active transportation to school.

  19. Multi-level examination of correlates of active transportation to school among youth living within 1 mile of their school

    PubMed Central

    2012-01-01

    Background Active transportation to school is a method by which youth can build physical activity into their daily routines. We examined correlates of active transportation to school at both individual- (characteristics of the individual and family) and area- (school and neighborhood) levels amongst youth living within 1 mile (1.6 km) of their school. Methods Using the 2009/10 Canadian Health Behaviour in School-Aged Children (HBSC) survey, we selected records of students (n = 3 997) from 161 schools that resided in an urban setting and lived within 1 mile from their school. Student records were compiled from: (1) individual-level HBSC student questionnaires; (2) area-level administrator (school) questionnaires; and (3) area-level geographic information system data sources. The outcome, active transportation to school, was determined via a questionnaire item describing the method of transportation that individual students normally use to get to school. Analyses focused on factors at multiple levels that potentially contribute to student decisions to engage in active transportation. Multi-level logistic regression analyses were employed. Results Approximately 18% of the variance in active transportation was accounted for at the area-level. Several individual and family characteristics were associated with engagement in active transportation to school including female gender (RR vs. males = 0.86, 95% CI: 0.80-0.91), having ≥2 cars in the household (RR vs. no cars = 0.87, 0.74-0.97), and family socioeconomic status (RR for ‘not well off’ vs. ‘very well off’ = 1.14, 1.01-1.26). Neighborhood characteristics most strongly related to active transportation were: the length of roads in the 1 km buffer (RR in quartile 4 vs. quartile 1 = 1.23, 1.00-1.42), the amount of litter in the neighborhood (RR for ‘major problem’ vs. ‘no problem’ = 1.47, 1.16-1.57), and relatively hot climates (RR in quartile 4 vs. quartile 1 = 1.33 CI, 1.05-1.53). Conclusion Engagement in active transportation to school was related to multiple factors at multiple levels. We identified gender, perception of residential neighborhood safety, the percentage of streets with sidewalks, and the total length of roads as the most important correlates of active transportation to school. PMID:23067247

  20. The Built Environment and Active Travel: Evidence from Nanjing, China.

    PubMed

    Feng, Jianxi

    2016-03-08

    An established relationship exists between the built environment and active travel. Nevertheless, the literature examining the impacts of different components of the built environment is limited. In addition, most existing studies are based on data from cities in the U.S. and Western Europe. The situation in Chinese cities remains largely unknown. Based on data from Nanjing, China, this study explicitly examines the influences of two components of the built environment--the neighborhood form and street form--on residents' active travel. Binary logistic regression analyses examined the effects of the neighborhood form and street form on subsistence, maintenance and discretionary travel, respectively. For each travel purpose, three models are explored: a model with only socio-demographics, a model with variables of the neighborhood form and a complete model with all variables. The model fit indicator, Nagelkerke's ρ², increased by 0.024 when neighborhood form variables are included and increased by 0.070 when street form variables are taken into account. A similar situation can be found in the models of maintenance activities and discretionary activities. Regarding specific variables, very limited significant impacts of the neighborhood form variables are observed, while almost all of the characteristics of the street form show significant influences on active transport. In Nanjing, street form factors have a more profound influence on active travel than neighborhood form factors. The focal point of the land use regulations and policy of local governments should shift from the neighborhood form to the street form to maximize the effects of policy interventions.

  1. Neighborhood linking social capital as a predictor of drug abuse: A Swedish national cohort study

    PubMed Central

    Sundquist, Jan; Sjöstedt, Cecilia; Winkleby, Marilyn; Li, Xinjun; Kendler, Kenneth S.; Sundquist, Kristina

    2016-01-01

    Aims This study examines the association between the incidence of drug abuse (DA) and linking (communal) social capital, a theoretical concept describing the amount of trust between individuals and societal institutions. Methods We present results from an 8-year population-based cohort study that followed all residents in Sweden, aged 15–44, from 2003 through 2010, for a total of 1,700,896 men and 1,642,798 women. Linking social capital was conceptualized as the proportion of people in a geographically defined neighborhood who voted in local government elections. Multilevel logistic regression was used to estimate odds ratios (ORs) and between-neighborhood variance. Results We found robust associations between linking social capital and DA in men and women. For men, the OR for DA in the crude model was 2.11 [95% confidence interval (CI) 2.02–2.21] for those living in neighborhoods with the lowest vs. highest level of social capital. After accounting for neighborhood level deprivation, the OR fell to 1.59 (1.51–1-68). The ORs remained significant after accounting for age, family income, marital status, country of birth, education level, and region of residence, and after further accounting for comorbidities and family history of comorbidities and family history of DA. For women, the OR decreased from 2.15 (2.03–2.27) in the crude model to 1.31 (1.22–1.40) in the final model, adjusted for multiple neighborhood-level, individual-level variables, and family history for DA. Conclusions Our study suggests that low linking social capital may have significant independent effects on DA. PMID:27416013

  2. Neighborhood linking social capital as a predictor of drug abuse: A Swedish national cohort study.

    PubMed

    Sundquist, Jan; Sjöstedt, Cecilia; Winkleby, Marilyn; Li, Xinjun; Kendler, Kenneth S; Sundquist, Kristina

    2016-12-01

    This study examines the association between the incidence of drug abuse (DA) and linking (communal) social capital, a theoretical concept describing the amount of trust between individuals and societal institutions. We present results from an 8-year population-based cohort study that followed all residents in Sweden, aged 15-44, from 2003 through 2010, for a total of 1,700,896 men and 1,642,798 women. Linking social capital was conceptualized as the proportion of people in a geographically defined neighborhood who voted in local government elections. Multilevel logistic regression was used to estimate odds ratios (ORs) and between-neighborhood variance. We found robust associations between linking social capital and DA in men and women. For men, the OR for DA in the crude model was 2.11 [95% confidence interval (CI) 2.02-2.21] for those living in neighborhoods with the lowest vs. highest level of social capital. After accounting for neighborhood level deprivation, the OR fell to 1.59 (1.51-1-68). The ORs remained significant after accounting for age, family income, marital status, country of birth, education level, and region of residence, and after further accounting for comorbidities and family history of comorbidities and family history of DA. For women, the OR decreased from 2.15 (2.03-2.27) in the crude model to 1.31 (1.22-1.40) in the final model, adjusted for multiple neighborhood-level, individual-level variables, and family history for DA. Our study suggests that low linking social capital may have significant independent effects on DA. Copyright © 2016 Elsevier Ltd. All rights reserved.

  3. Linguistic and Cultural Exchange and Appropriation: A Survey Study in a Multi-Ethnic Neighbourhood in The Netherlands.

    ERIC Educational Resources Information Center

    Jongenburger, Willy; Aarssen, Jeroen

    2001-01-01

    Investigated the interplay between languages and cultures in the multilingual and multicultural neighborhood of Lombok/Transvaal in Utrecht in The Netherlands. Results confirm that because Turkish, Moroccan, and Surinamese immigrants differ with respect to immigration history, level of education, and Dutch proficiency, processes of exchange and…

  4. Verification of retail food outlet location data from a local health department using ground-truthing and remote-sensing technology: assessing differences by neighborhood characteristics.

    PubMed

    Rossen, Lauren M; Pollack, Keshia M; Curriero, Frank C

    2012-09-01

    Obtaining valid and accurate data on community food environments is critical for research evaluating associations between the food environment and health outcomes. This study utilized ground-truthing and remote-sensing technology to validate a food outlet retail list obtained from an urban local health department in Baltimore, Maryland in 2009. Ten percent of outlets (n=169) were assessed, and differences in accuracy were explored by neighborhood characteristics (96 census tracts) to determine if discrepancies were differential or non-differential. Inaccuracies were largely unrelated to a variety of neighborhood-level variables, with the exception of number of vacant housing units. Although remote-sensing technologies are a promising low-cost alternative to direct observation, this study demonstrated only moderate levels of agreement with ground-truthing. Published by Elsevier Ltd.

  5. Relationship between oral health in children and poverty related factors.

    PubMed

    Squassi, Aldo; Mauro, Silvia; Mauro, María José; Sánchez, Gabriel; Bordoni, Noemí

    2008-01-01

    The aim of this investigation was to analyze the variables related to poverty and its influence on oral health in children living in a suburban area ofBuenos Aires, Argentina. The study population consisted of 1,049 children. 579 children at social risk (Group I) were recruited from five neighborhoods with critical lacks (Katzman, 1989) and divided into 2 subgroups according to age: (A) preschool children and (B) school children. 470 preschool and school children from the same district but living in homes without critical lacks served as controls (Group II). The following variables associated with poverty were analyzed: (a) parents' instructional level, (b) employment conditions, and (c) accessibilty to regular oral health care. Group I comprised children from five neighborhoods categorized according to the incidence rate of each variable. Clinical examinations were performed under similar conditions by three calibrated investigators. DMFS, dmfs, total DMFS + dmfs, DS + ds, Care Index and Loe & Silness plaque index were recorded and analyzed using Students t test, ANOVA and Chi square test (level of significance p < 0.05). Dental indicators were significantly higher in Group I than in Group II. The dental caries indicators increased as the incidence rate of the poverty-related variables rose. The highest number of children with high cariogenic risk was observed in neighborhoods with the highest social risk (c2 = 30.48; p < 0.005). The analyzed poverty-related variables seemed to be associated with factors that play a role in the dental caries development process in school and preschool children living in the Metropolitan area of Buenos Aires.

  6. Phonological Neighborhood and Word Frequency Effects in the Stuttered Disfluencies of Children Who Stutter

    PubMed Central

    Anderson, Julie D.

    2008-01-01

    Purpose The purpose of this study was to examine (a) the role of neighborhood density (number of words that are phonologically similar to a target word) and frequency variables on the stuttering-like disfluencies of preschool children who stutter, and (b) whether these variables have an effect on the type of stuttering-like disfluency produced. Method A 500+ word speech sample was obtained from each participant (N = 15). Each stuttered word was randomly paired with the firstly produced word that closely matched it in grammatical class, familiarity, and number of syllables/phonemes. Frequency, neighborhood density, and neighborhood frequency values were obtained for the stuttered and fluent words from an online database. Results Findings revealed that stuttered words were lower in frequency and neighborhood frequency than fluent words. Words containing part-word repetitions and sound prolongations were also lower in frequency and/or neighborhood frequency than fluent words, but these frequency variables did not have an effect on single-syllable word repetitions. Neighborhood density failed to influence the susceptibility of words to stuttering, as well as the type of stuttering-like disfluency produced. Conclusions In general, findings suggest that neighborhood and frequency variables not only influence the fluency with which words are produced in speech, but also have an impact on the type of stuttering-like disfluency produced. PMID:17344561

  7. Adolescent Physical Activity: Moderation of Individual Factors by Neighborhood Environment.

    PubMed

    D'Angelo, Heather; Fowler, Stephanie L; Nebeling, Linda C; Oh, April Y

    2017-06-01

    Less than a third of U.S. adolescents meet federal physical activity (PA) guidelines. Understanding correlates of PA at multiple levels of the Social Ecological Model could improve PA interventions among youth. This study examines (1) associations between factors across the Social Ecological Model including psychosocial factors, perceived neighborhood physical and social environment characteristics, and adolescent moderate to vigorous PA (MVPA) and (2) whether perceived neighborhood characteristics moderate associations between psychosocial factors and MVPA. A national sample of adolescents (aged 12-17 years) in the 2014 Family Life, Activity, Sun, Health, and Eating Study was used to examine associations between psychosocial characteristics, perceived neighborhood social and physical characteristics, and self-reported weekly minutes of MVPA. Analyses were conducted in 2015. Interaction terms between psychosocial and neighborhood variables were added to multiple linear regression models to examine moderation hypotheses. Significant two-way interactions revealed that neighborhoods with features perceived as supportive of PA strengthened several psychosocial-MVPA associations. The positive associations between MVPA and friend norms, friend support, and attitudes were strengthened for adolescents living in neighborhoods with high versus low PA resource availability (all p<0.05). Furthermore, the association between controlled and autonomous motivation and MVPA was strengthened under conditions of shops/stores near (versus distant from) adolescents' homes (p<0.05). The association between some psychosocial factors and adolescent MVPA may be environment dependent. Neighborhood physical and social environments supportive of PA are important to consider when developing targeted PA interventions and may strengthen the association between psychosocial-level factors and adolescent MVPA. Copyright © 2017 American Journal of Preventive Medicine. All rights reserved.

  8. Partnering with Youth to Map Their Neighborhood Environments: A Multi-Layered GIS Approach

    PubMed Central

    Topmiller, Michael; Jacquez, Farrah; Vissman, Aaron T.; Raleigh, Kevin; Miller-Francis, Jenni

    2014-01-01

    Mapping approaches offer great potential for community-based participatory researchers interested in displaying youth perceptions and advocating for change. We describe a multi-layered approach for gaining local knowledge of neighborhood environments that engages youth as co-researchers and active knowledge producers. By integrating geographic information systems (GIS) with environmental audits, an interactive focus group, and sketch mapping, the approach provides a place-based understanding of physical activity resources from the situated experience of youth. Youth report safety and a lack of recreational resources as inhibiting physical activity. Maps reflecting youth perceptions aid policy-makers in making place-based improvements for youth neighborhood environments. PMID:25423245

  9. Associations of Neighborhood and School Socioeconomic and Social Contexts With Body Mass Index Among Urban Preadolescent Students

    PubMed Central

    Gilstad-Hayden, Kathryn; Rosenthal, Lisa; Eldahan, Adam; McCaslin, Catherine; Peters, Susan M.; Ickovics, Jeannette R.

    2015-01-01

    Objectives. We examined independent and synergistic effects of school and neighborhood environments on preadolescent body mass index (BMI) to determine why obesity rates nearly double during preadolescence. Methods. Physical measures and health surveys from fifth and sixth graders in 12 randomly selected schools in New Haven, Connecticut, in 2009 were matched to student sociodemographics and school- and residential census tract–level data, for a total of 811 urban preadolescents. Key independent variables included school connectedness, neighborhood social ties, and school and neighborhood socioeconomic status. We estimated cross-classified random-effects hierarchical linear models to examine associations between key school and neighborhood characteristics with student BMI. Results. Greater average connectedness felt by students to their school was significantly associated with lower BMI. This association was stronger among students living in neighborhoods with higher concentrations of affluent neighbors. Conclusions. How schools engage and support students may affect obesity rates preferentially in higher-income neighborhoods. Further research should explore the associations between multiple environments to which children are exposed and obesity-related behaviors and outcomes. This understanding of the multiple social–spatial contexts that children occupy has potential to inform comprehensive and sustainable child obesity prevention efforts. PMID:26469652

  10. The impact of childhood neighborhood disadvantage on adult joblessness and income.

    PubMed

    Alvarado, Steven Elías

    2018-02-01

    Research on residential inequality focuses heavily on adult economic outcomes as crucial components of the intergenerational transmission of poverty. Yet, empirical evidence on whether youth neighborhoods have a lasting impact on adult economic outcomes at the national level is scarce. Further, we know little about how youth neighborhood effects on adult economic outcomes manifest. This study uses 26 years (14 waves) of restricted panel data from the NLSY79 and the NLSY Children and Young Adults cohorts - data that have never been used to analyze long-term neighborhood effects - to examine whether youth neighborhood disadvantage impacts adult economic outcomes through sensitive years in childhood, teen socialization, duration effects, or cumulative effects. Sibling fixed effects models that net out unobserved effects of shared family characteristics suggest that youth neighborhood disadvantage increases joblessness and reduces income in adulthood. However, exposure across specific developmental stages of youth does not appear to act as a significant moderator while sustained exposure yields pernicious effects on adult economic outcomes. Moreover, these results are robust to alternative variable specifications and cousin fixed effects that net out potentially unobserved confounders, such as the inheritance of neighborhood disadvantage across three generations. Copyright © 2017. Published by Elsevier Inc.

  11. The association of neighborhood social capital and ethnic (minority) density with pregnancy outcomes in the Netherlands.

    PubMed

    Schölmerich, Vera L N; Erdem, Özcan; Borsboom, Gerard; Ghorashi, Halleh; Groenewegen, Peter; Steegers, Eric A P; Kawachi, Ichiro; Denktaş, Semiha

    2014-01-01

    Perinatal morbidity rates are relatively high in the Netherlands, and significant inequalities in perinatal morbidity and mortality can be found across neighborhoods. In socioeconomically deprived areas, 'Western' women are particularly at risk for adverse birth outcomes. Almost all studies to date have explained the disparities in terms of individual determinants of birth outcomes. This study examines the influence of neighborhood contextual characteristics on birth weight (adjusted for gestational age) and preterm birth. We focused on the influence of neighborhood social capital--measured as informal socializing and social connections between neighbors--as well as ethnic (minority) density. Data on birth weight and prematurity were obtained from the Perinatal Registration Netherlands 2000-2008 dataset, containing 97% of all pregnancies. Neighborhood-level measurements were obtained from three different sources, comprising both survey and registration data. We included 3.422 neighborhoods and 1.527.565 pregnancies for the birth weight analysis and 1.549.285 pregnancies for the premature birth analysis. Linear and logistic multilevel regression was performed to assess the associations of individual and neighborhood level variables with birth weight and preterm birth. We found modest but significant neighborhood effects on birth weight and preterm births. The effect of ethnic (minority) density was stronger than that of neighborhood social capital. Moreover, ethnic (minority) density was associated with higher birth weight for infants of non-Western ethnic minority women compared to Western women (15 grams; 95% CI: 12,4/17,5) as well as reduced risk for prematurity (OR 0.97; CI 0,95/0,99). Our results indicate that neighborhood contexts are associated with birth weight and preterm birth in the Netherlands. Moreover, ethnic (minority) density seems to be a protective factor for non-Western ethnic minority women, but not for Western women. This helps explain the increased risk of Western women in deprived neighborhoods for adverse birth outcomes found in previous studies.

  12. The Association of Neighborhood Social Capital and Ethnic (Minority) Density with Pregnancy Outcomes in the Netherlands

    PubMed Central

    Schölmerich, Vera L. N.; Erdem, Özcan; Borsboom, Gerard; Ghorashi, Halleh; Groenewegen, Peter; Steegers, Eric A. P.; Kawachi, Ichiro; Denktaş, Semiha

    2014-01-01

    Background Perinatal morbidity rates are relatively high in the Netherlands, and significant inequalities in perinatal morbidity and mortality can be found across neighborhoods. In socioeconomically deprived areas, ‘Western’ women are particularly at risk for adverse birth outcomes. Almost all studies to date have explained the disparities in terms of individual determinants of birth outcomes. This study examines the influence of neighborhood contextual characteristics on birth weight (adjusted for gestational age) and preterm birth. We focused on the influence of neighborhood social capital – measured as informal socializing and social connections between neighbors – as well as ethnic (minority) density. Methods Data on birth weight and prematurity were obtained from the Perinatal Registration Netherlands 2000–2008 dataset, containing 97% of all pregnancies. Neighborhood-level measurements were obtained from three different sources, comprising both survey and registration data. We included 3.422 neighborhoods and 1.527.565 pregnancies for the birth weight analysis and 1.549.285 pregnancies for the premature birth analysis. Linear and logistic multilevel regression was performed to assess the associations of individual and neighborhood level variables with birth weight and preterm birth. Results We found modest but significant neighborhood effects on birth weight and preterm births. The effect of ethnic (minority) density was stronger than that of neighborhood social capital. Moreover, ethnic (minority) density was associated with higher birth weight for infants of non-Western ethnic minority women compared to Western women (15 grams; 95% CI: 12,4/17,5) as well as reduced risk for prematurity (OR 0.97; CI 0,95/0,99). Conclusions Our results indicate that neighborhood contexts are associated with birth weight and preterm birth in the Netherlands. Moreover, ethnic (minority) density seems to be a protective factor for non-Western ethnic minority women, but not for Western women. This helps explain the increased risk of Western women in deprived neighborhoods for adverse birth outcomes found in previous studies. PMID:24806505

  13. The Built Environment and Active Travel: Evidence from Nanjing, China

    PubMed Central

    Feng, Jianxi

    2016-01-01

    Background: An established relationship exists between the built environment and active travel. Nevertheless, the literature examining the impacts of different components of the built environment is limited. In addition, most existing studies are based on data from cities in the U.S. and Western Europe. The situation in Chinese cities remains largely unknown. Based on data from Nanjing, China, this study explicitly examines the influences of two components of the built environment—the neighborhood form and street form—on residents’ active travel. Methods: Binary logistic regression analyses examined the effects of the neighborhood form and street form on subsistence, maintenance and discretionary travel, respectively. For each travel purpose, three models are explored: a model with only socio-demographics, a model with variables of the neighborhood form and a complete model with all variables. Results: The model fit indicator, Nagelkerke’s ρ2, increased by 0.024 when neighborhood form variables are included and increased by 0.070 when street form variables are taken into account. A similar situation can be found in the models of maintenance activities and discretionary activities. Regarding specific variables, very limited significant impacts of the neighborhood form variables are observed, while almost all of the characteristics of the street form show significant influences on active transport. Conclusions: In Nanjing, street form factors have a more profound influence on active travel than neighborhood form factors. The focal point of the land use regulations and policy of local governments should shift from the neighborhood form to the street form to maximize the effects of policy interventions. PMID:27005645

  14. Assessing residential exposure to urban noise using environmental models: does the size of the local living neighborhood matter?

    PubMed

    Tenailleau, Quentin M; Bernard, Nadine; Pujol, Sophie; Houot, Hélène; Joly, Daniel; Mauny, Frédéric

    2015-01-01

    Environmental epidemiological studies rely on the quantification of the exposure level in a surface defined as the subject's exposure area. For residential exposure, this area is often the subject's neighborhood. However, the variability of the size and nature of the neighborhoods makes comparison of the findings across studies difficult. This article examines the impact of the neighborhood's definition on environmental noise exposure levels obtained from four commonly used sampling techniques: address point, façade, buffers, and official zoning. A high-definition noise model, built on a middle-sized French city, has been used to estimate LAeq,24 h exposure in the vicinity of 10,825 residential buildings. Twelve noise exposure indicators have been used to assess inhabitants' exposure. Influence of urban environmental factors was analyzed using multilevel modeling. When the sampled area increases, the average exposure increases (+3.9 dB), whereas the SD decreases (-1.6 dB) (P<0.01). Most of the indicators differ statistically. When comparing indicators from the 50-m and 400-m radius buffers, the assigned LAeq,24 h level varies across buildings from -9.4 to +22.3 dB. This variation is influenced by urban environmental characteristics (P<0.01). On the basis of this study's findings, sampling technique, neighborhood size, and environmental composition should be carefully considered in further exposure studies.

  15. Family, peer, and neighborhood influences on academic achievement among African-American adolescents: one-year prospective effects.

    PubMed

    Gonzales, N A; Cauce, A M; Friedman, R J; Mason, C A

    1996-06-01

    Using a 1-year prospective design, this study examined the influence of family status variables (family income, parental education, family structure), parenting variables (maternal support and restrictive control), peer support, and neighborhood risk on the school performance of 120 African American junior high school students. In addition to main effects of these variables, neighborhood risk was examined as a moderator of the effects of parenting and peer support. Family status variables were not predictive of adolescent school performance as indexed by self-reported grade point average. Maternal support at Time 1 was prospectively related to adolescent grades at Time 2. Neighborhood risk was related to lower grades, while peer support predicted better grades in the prospective analyses. Neighborhood risk also moderated the effects of maternal restrictive control and peer support on adolescent grades in prospective analyses. These findings highlight the importance of an ecological approach to the problem of academic underachievement within the African American Community.

  16. Neighborhood Frequency Effect in Chinese Word Recognition: Evidence from Naming and Lexical Decision

    ERIC Educational Resources Information Center

    Li, Meng-Feng; Gao, Xin-Yu; Chou, Tai-Li; Wu, Jei-Tun

    2017-01-01

    Neighborhood frequency is a crucial variable to know the nature of word recognition. Different from alphabetic scripts, neighborhood frequency in Chinese is usually confounded by component character frequency and neighborhood size. Three experiments were designed to explore the role of the neighborhood frequency effect in Chinese and the stimuli…

  17. Do drug treatment facilities increase clients' exposure to potential neighborhood-level triggers for relapse? A small-area assessment of a large, public treatment system.

    PubMed

    Jacobson, Jerry O

    2006-03-01

    Research on drug treatment facility locations has focused narrowly on the issue of geographic proximity to clients. We argue that neighborhood conditions should also enter into the facility location decision and illustrate a formal assessment of neighborhood conditions at facilities in a large, metropolitan area, taking into account conditions clients already face at home. We discuss choice and construction of small-area measures relevant to the drug treatment context, including drug activity, disadvantage, and violence as well as statistical comparisons of clients' home and treatment locations with respect to these measures. Analysis of 22,707 clients discharged from 494 community-based outpatient and residential treatment facilities that received public funds during 1998-2000 in Los Angeles County revealed no significant mean differences between home and treatment neighborhoods. However, up to 20% of clients are exposed to markedly higher levels of disadvantage, violence, or drug activity where they attend treatment than where they live, suggesting that it is not uncommon for treatment locations to increase clients' exposure to potential environmental triggers for relapse. Whereas on average both home and treatment locations exhibit higher levels of these measures than the household locations of the general population, substantial variability in public treatment clients' home neighborhoods calls into question the notion that they hail exclusively from poor, high drug activity areas. Shortcomings of measures available for neighborhood assessment of treatment locations and implications of the findings for other areas of treatment research are also discussed.

  18. Perceived neighborhood environmental attributes associated with adults’ transport-related walking and cycling: Findings from the USA, Australia and Belgium

    PubMed Central

    2012-01-01

    Background Active transportation has the potential to contribute considerably to overall physical activity levels in adults and is likely to be influenced by neighborhood-related built environment characteristics. Previous studies that examined the associations between built environment attributes and active transportation, focused mainly on transport-related walking and were conducted within single countries, limiting environmental variability. We investigated the direction and shape of relationships of perceived neighborhood attributes with transport-related cycling and walking in three countries; and examined whether these associations differed by country and gender. Methods Data from the USA (Baltimore and Seattle), Australia (Adelaide) and Belgium (Ghent) were pooled. In total, 6,014 adults (20–65 years, 55.7% women) were recruited in high-/low-walkable and high-/low-income neighborhoods. All participants completed the Neighborhood Environmental Walkability Scale and the International Physical Activity Questionnaire. Generalized additive mixed models were used to estimate the strength and shape of the associations. Results Proximity to destinations, good walking and cycling facilities, perceiving difficulties in parking near local shopping areas, and perceived aesthetics were included in a ‘cyclability’ index. This index was linearly positively related to transport-related cycling and no gender- or country-differences were observed. The ‘walkability’ index consisted of perceived residential density, land use mix access, proximity of destinations and aesthetics. A non-linear positive relationship with transport-related walking was found. This association was stronger in women than in men, and country-specific associations were identified: the strongest association was observed in Seattle, the weakest in Adelaide. In Ghent, the association weakened at higher levels of walkability. Conclusions For cycling, consistent correlates were found in the three countries, but associations were less straightforward for transport-related walking. Moreover, the identified neighborhood environmental correlates were different for walking compared to cycling. In order to further clarify the shape of these associations and reach more specific international guidelines for developing walkable and bikeable neighborhoods, future studies should include even more countries to maximize environmental variability. PMID:22691723

  19. Decomposition Analysis of Black–White Disparities in Birth Outcomes: The Relative Contribution of Air Pollution and Social Factors in California

    PubMed Central

    Huang, Jonathan; Basu, Rupa; Wu, Jun; Bruckner, Tim A.

    2017-01-01

    Background: Racial/ethnic disparities in preterm birth (PTB) are well documented in the epidemiological literature, but little is known about the relative contribution of different social and environmental determinants of such disparities in birth outcome. Furthermore, increased focus has recently turned toward modifiable aspects of the environment, including physical characteristics, such as neighborhood air pollution, to reduce disparities in birth outcomes. Objectives: To apply decomposition methods to understand disparities in preterm birth (PTB) prevalence between births of non-Hispanic black individuals and births of non-Hispanic white individuals in California, according to individual demographics, neighborhood socioeconomic environment, and neighborhood air pollution. Methods: We used all live singleton births in California spanning 2005 to 2010 and estimated PTBs and other adverse birth outcomes for infants borne by non-Hispanic black mothers and white mothers. To compare individual-level, neighborhood-level, and air pollution [Particulate Matter, 2.5 micrometers or less (PM2.5) and nitrogen dioxide (NO2)] predictors, we conducted a nonlinear extension of the Blinder–Oaxaca method to decompose racial/ethnic disparities in PTB. Results: The predicted differences in probability of PTB between black and white infants was 0.056 (95% CI: 0.054, 0.058). All included predictors explained 37.8% of the black–white disparity. Overall, individual (17.5% for PTB) and neighborhood-level variables (16.1% for PTB) explained a greater proportion of the black–white difference in birth outcomes than air pollution (5.7% for PTB). Conclusions: Our results suggest that, although the role of individual and neighborhood factors remains prevailing in explaining black–white differences in birth outcomes, the individual contribution of PM2.5 is comparable in magnitude to any single individual- or neighborhood-level factor. https://doi.org/10.1289/EHP490 PMID:28977781

  20. Multi-axial interferometry: demonstration of deep nulling

    NASA Astrophysics Data System (ADS)

    Buisset, Christophe; Rejeaunier, Xavier; Rabbia, Yves; Ruilier, Cyril; Barillot, Marc; Lierstuen, Lars; Perdigués Armengol, Josep Maria

    2017-11-01

    The ESA-Darwin mission is devoted to direct detection and spectroscopic characterization of earthlike exoplanets. Starlight rejection is achieved by nulling interferometry from space so as to make detectable the faintly emitting planet in the neighborhood. In that context, Alcatel Alenia Space has developed a nulling breadboard for ESA in order to demonstrate in laboratory conditions the rejection of an on-axis source. This device, the Multi Aperture Imaging Interferometer (MAII) demonstrated high rejection capability at a relevant level for exoplanets, in singlepolarized and mono-chromatic conditions. In this paper we report on the new multi-axial configuration of MAII and we summarize our late nulling results.

  1. Aging in neighborhoods differing in walkability and income: associations with physical activity and obesity in older adults.

    PubMed

    King, Abby C; Sallis, James F; Frank, Lawrence D; Saelens, Brian E; Cain, Kelli; Conway, Terry L; Chapman, James E; Ahn, David K; Kerr, Jacqueline

    2011-11-01

    While there is a growing literature on the relations between neighborhood design and health factors such as physical activity and obesity, less focus has been placed on older adults, who may be particularly vulnerable to environmental influences. This study evaluates the relations among objectively measured neighborhood design, mobility impairment, and physical activity and body weight in two U.S. regional samples of community dwelling older adults living in neighborhoods differing in walkability and income levels. An observational design involving two time points six months apart was employed between 2005 and 2008. U.S. Census block groups in Seattle-King County, Washington and Baltimore, Maryland-Washington DC regions were selected via geographic information systems to maximize variability in walkability and income. Participants were 719 adults ages 66 years and older who were able to complete surveys in English and walk at least 10 feet continuously. Measurements included reported walking or bicycling for errands (i.e., transport activity) and other outdoor aerobic activities measured via the CHAMPS questionnaire: accelerometry-based moderate-to-vigorous physical activity; reported body mass index; and reported lower extremity mobility impairment measured via the Late-Life Function and Disability Instrument. Across regions, time, and neighborhood income, older adults living in more walkable neighborhoods had more transport activity and moderate-to- vigorous physical activity and lower body mass index relative to those living in less walkable neighborhoods. The most mobility-impaired adults living in more walkable neighborhoods reported transport activity levels that were similar to less mobility-impaired adults living in less walkable neighborhoods. The results add to the small literature aimed at understanding how neighborhood design may influence physical activity and related aspects of health linked with day-to-day function and independence as people age. Copyright © 2011 Elsevier Ltd. All rights reserved.

  2. Contextual Risk Profiles and Trajectories of Adolescent Dating Violence Perpetration.

    PubMed

    Reyes, H Luz McNaughton; Foshee, Vangie A; Markiewitz, Nathan; Chen, May S; Ennett, Susan T

    2018-04-09

    Social ecological and developmental system perspectives suggest that interactions among factors within and across multiple contexts (e.g., neighborhood, peer, family) must be considered in explaining dating violence perpetration. Yet, to date, most extant research on dating violence has focused on individual, rather than contextual predictors, and used variable-centered approaches that fail to capture the configurations of factors that may jointly explain involvement in dating violence. The current study used a person-centered approach, latent profile analysis, to identify key configurations (or profiles) of contextual risk and protective factors for dating violence perpetration across the neighborhood, school, friend and family contexts. We then examine the longitudinal associations between these contextual risk profiles, assessed during middle school, and trajectories of psychological and physical dating violence perpetration across grades 8 through 12. Five contextual risk profiles were identified: school, neighborhood, and family risk; school and family risk; school and friend risk; school and neighborhood risk; and low risk. The highest levels of psychological and physical perpetration across grades 8 through 12 were among adolescents in the profile characterized by high levels of school, neighborhood, and family risk. Results suggest that early interventions to reduce violence exposure and increase social regulation across multiple social contexts may be effective in reducing dating violence perpetration across adolescence.

  3. Neighborhoods and Adolescent Health-Risk Behavior: An Ecological Network Approach1

    PubMed Central

    Browning, Christopher R.; Soller, Brian; Jackson, Aubrey L.

    2014-01-01

    This study integrates insights from social network analysis, activity space perspectives, and theories of urban and spatial processes to present an innovative approach to neighborhood effects on health-risk behavior among youth. We suggest spatial patterns of neighborhood residents’ non-home routine activities may be conceptualized as ecological, or “eco”-networks, which are two-mode networks that indirectly link residents through socio-spatial overlap in routine activities. We further argue structural configurations of eco-networks are consequential for youth’s behavioral health. In this study we focus on a key structural feature of eco-networks—the neighborhood-level extent to which households share two or more activity locations, or eco-network reinforcement—and its association with two dimensions of health-risk behavior, substance use and delinquency/sexual activity. Using geographic data on non-home routine activity locations among respondents from the Los Angeles Family and Neighborhood Survey (L.A.FANS), we constructed neighborhood-specific eco-networks by connecting sampled households to “activity clusters,” which are sets of spatially-proximate activity locations. We then measured eco-network reinforcement and examined its association with adolescent dimensions of health risk behavior employing a sample of 830 youth ages 12-17 nested in 65 census tracts. We also examined whether neighborhood-level social processes (collective efficacy and intergenerational closure) mediate the association between eco-network reinforcement and the outcomes considered. Results indicated eco-network reinforcement exhibits robust negative associations with both substance use and delinquency/sexual activity scales. Eco-network reinforcement effects were not explained by potential mediating variables. In addition to introducing a novel theoretical and empirical approach to neighborhood effects on youth, our findings highlight the importance of eco-network reinforcement for adolescent behavioral health. PMID:25011958

  4. Neighborhood-Level Associations with HIV Infection among Young Men Who Have Sex with Men in Chicago

    PubMed Central

    Phillips, Gregory; Birkett, Michelle; Kuhns, Lisa; Hatchel, Tyler; Garofalo, Robert; Mustanski, Brian

    2015-01-01

    The rising incidence of HIV infection among young men who have sex with men (YMSM) is a substantial public health concern. Traditional research on HIV among YMSM has focused largely on individual-level predictors and infrequently accounts for contextual or neighborhood-level factors such as ethnic composition and socioeconomic status. This study used neighborhood-level data from the US Census and other public sources, and individual-level data from a longitudinal cohort of YMSM in Chicago (Crew 450). Of the original 450 YMSM in the cohort, 376 reported living in Chicago (83.6%) and were included in the analytic sample. A clustering approach was used to group the 77 community areas together by common characteristics, resulting in the identification of 11 distinct clusters. An unconditional model of individual HIV status indicated a significant amount of variance existed between neighborhood clusters (χ2 = 21.66; p = 0.006). When individual-level variables were added to the model, only having an HIV-positive sex partner (OR = 6.41; CI: 2.40, 17.1) and engaging in exchange sex in the past 6 months (OR = 3.25; 95% CI: 1.33, 7.93) were significant predictors of HIV status. Clusters with higher Walk Scores were less likely to contain HIV-positive individuals (OR = 0.94; 95% CI: 0.90, 0.98). Conversely, clusters with a larger proportion of vacant buildings were more likely to contain HIV-positive individuals (OR = 1.19; 95% CI: 1.07, 1.33). Future research among YMSM needs to investigate the mechanisms by which neighborhood of residence might influence engagement in risk behaviors or acquisition of HIV. PMID:26168977

  5. Moderating effects of age, gender and education on the associations of perceived neighborhood environment attributes with accelerometer-based physical activity: the IPEN Adult study Moderating effects of age, gender and education on the associations of perceived neighborhood environment attributes with accelerometer-based physical activity: the IPEN Adult study

    PubMed Central

    Van Dyck, Delfien; Cerin, Ester; De Bourdeaudhuij, Ilse; Salvo, Deborah; Christiansen, Lars B; Macfarlane, Duncan; Owen, Neville; Mitas, Josef; Troelsen, Jens; Aguinaga-Ontoso, Ines; Davey, Rachel; Reis, Rodrigo; Sarmiento, Olga L; Schofield, Grant; Conway, Terry L; Sallis, James F

    2015-01-01

    The study's purpose was to examine age, gender, and education as potential moderators of the associations of perceived neighborhood environment variables with accelerometer-based moderate-to-vigorous physical activity (MVPA). Data were from 7273 adults from 16 sites (11 countries) that were part of a coordinated multi-country cross-sectional study. Age moderated the associations of perceived crime safety, and perceiving no major physical barriers to walking, with MVPA: positive associations were only found in older adults. Perceived land use mix-access was linearly (positive) associated with MVPA in men, and curvilinearly in women. Perceived crime safety was related to MVPA only in women. No moderating relationships were found for education. Overall the associations of adults’ perceptions of environmental attributes with MVPA were largely independent of the socio-demographic factors examined. These findings are encouraging, suggesting that efforts to optimize the perceived built and social environment may act in a socially-equitable manner to facilitate MVPA. PMID:26454247

  6. The Wisconsin Assessment of the Social and Built Environment (WASABE): a multi-dimensional objective audit instrument for examining neighborhood effects on health.

    PubMed

    Malecki, Kristen C; Engelman, Corinne D; Peppard, Paul E; Nieto, F Javier; Grabow, Maggie L; Bernardinello, Milena; Bailey, Erin; Bersch, Andrew J; Walsh, Matthew C; Lo, Justin Y; Martinez-Donate, Ana

    2014-11-13

    Growing evidence suggests that mixed methods approaches to measuring neighborhood effects on health are needed. The Wisconsin Assessment of the Social and Built Environment (WASABE) is an objective audit tool designed as an addition to a statewide household-based health examination survey, the Survey of the Health of Wisconsin (SHOW), to objectively measure participant's neighborhoods. This paper describes the development and implementation of the WASABE and examines the instrument's ability to capture a range of social and built environment features in urban and rural communities. A systematic literature review and formative research were used to create the tool. Inter-rater reliability parameters across items were calculated. Prevalence and density of features were estimated for strata formed according to several sociodemographic and urbanicity factors. The tool is highly reliable with over 81% of 115 derived items having percent agreement above 95%. It captured variance in neighborhood features in for a diverse sample of SHOW participants. Sidewalk density in neighborhoods surrounding households of participants living at less than 100% of the poverty level was 67% (95% confidence interval, 55-80%) compared to 34% (25-44%) for those living at greater than 400% of the poverty level. Walking and biking trails were present in 29% (19-39%) of participant buffer in urban areas compared to only 7% (2-12%) in rural communities. Significant environmental differences were also observed for white versus non-white, high versus low income, and college graduates versus individuals with lower level of education. The WASABE has strong inter-rater reliability and validity properties. It builds on previous work to provide a rigorous and standardized method for systematically gathering objective built and social environmental data in a number of geographic settings. Findings illustrate the complex milieu of built environment features found in participants neighborhoods and have relevance for future research, policy, and community engagement purposes.

  7. Estimating neighborhood variability with a binary comparison matrix.

    USGS Publications Warehouse

    Murphy, D.L.

    1985-01-01

    A technique which utilizes a binary comparison matrix has been developed to implement a neighborhood function for a raster format data base. The technique assigns an index value to the center pixel of 3- by 3-pixel neighborhoods. The binary comparison matrix provides additional information not found in two other neighborhood variability statistics; the function is sensitive to both the number of classes within the neighborhood and the frequency of pixel occurrence in each of the classes. Application of the function to a spatial data base from the Kenai National Wildlife Refuge, Alaska, demonstrates 1) the numerical distribution of the index values, and 2) the spatial patterns exhibited by the numerical values. -Author

  8. The effect of incremental changes in phonotactic probability and neighborhood density on word learning by preschool children

    PubMed Central

    Storkel, Holly L.; Bontempo, Daniel E.; Aschenbrenner, Andrew J.; Maekawa, Junko; Lee, Su-Yeon

    2013-01-01

    Purpose Phonotactic probability or neighborhood density have predominately been defined using gross distinctions (i.e., low vs. high). The current studies examined the influence of finer changes in probability (Experiment 1) and density (Experiment 2) on word learning. Method The full range of probability or density was examined by sampling five nonwords from each of four quartiles. Three- and 5-year-old children received training on nonword-nonobject pairs. Learning was measured in a picture-naming task immediately following training and 1-week after training. Results were analyzed using multi-level modeling. Results A linear spline model best captured nonlinearities in phonotactic probability. Specifically word learning improved as probability increased in the lowest quartile, worsened as probability increased in the midlow quartile, and then remained stable and poor in the two highest quartiles. An ordinary linear model sufficiently described neighborhood density. Here, word learning improved as density increased across all quartiles. Conclusion Given these different patterns, phonotactic probability and neighborhood density appear to influence different word learning processes. Specifically, phonotactic probability may affect recognition that a sound sequence is an acceptable word in the language and is a novel word for the child, whereas neighborhood density may influence creation of a new representation in long-term memory. PMID:23882005

  9. Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering.

    PubMed

    Sicat, Ronell; Krüger, Jens; Möller, Torsten; Hadwiger, Markus

    2014-12-01

    This paper presents a new multi-resolution volume representation called sparse pdf volumes, which enables consistent multi-resolution volume rendering based on probability density functions (pdfs) of voxel neighborhoods. These pdfs are defined in the 4D domain jointly comprising the 3D volume and its 1D intensity range. Crucially, the computation of sparse pdf volumes exploits data coherence in 4D, resulting in a sparse representation with surprisingly low storage requirements. At run time, we dynamically apply transfer functions to the pdfs using simple and fast convolutions. Whereas standard low-pass filtering and down-sampling incur visible differences between resolution levels, the use of pdfs facilitates consistent results independent of the resolution level used. We describe the efficient out-of-core computation of large-scale sparse pdf volumes, using a novel iterative simplification procedure of a mixture of 4D Gaussians. Finally, our data structure is optimized to facilitate interactive multi-resolution volume rendering on GPUs.

  10. Mapping urban revitalization: using GIS spatial analysis to evaluate a new housing policy.

    PubMed

    Perkins, Douglas D; Larsen, Courtney; Brown, Barbara B

    2009-01-01

    This longitudinal, multimethod study uses geographical information system (GIS) software to evaluate the community-wide impact of a neighborhood revitalization project. Unsystematic visual examination and analysis of GIS maps are offered as a complementary tool to quantitative analysis and one that is much more compelling, meaningful, and effective in presentation to community and nonscientific professional audiences. The centerpiece of the intervention was the development of a new, middle-class housing subdivision in an area that was declining physically and economically. This represents three major urban/housing policy directions: (1) the emphasis on home ownership for working-class families, (2) the deconcentration of poverty through development of mixed-income neighborhoods, and (3) the clean up and redevelopment of contaminated, former industrial brownfields. Resident survey responses, objective environmental assessment observations, and building permit data were collected, geocoded at the address level, and aggregated to the block level on 60 street blocks in the older neighborhoods surrounding the new housing in two waves: during site clearing and housing construction (Time 1: 1993-95) and three years post-completion (Time 2: 1998-99). Variables mapped include (a) Time 1-2 change in self-reported home repairs and improvements, (b) change in the assessed physical condition of yards and exteriors of 925 individual residential properties, (c) change in residents' home pride, and (d) a city archive of building permits at Time 2. Physical conditions improved overall in the neighborhood, but spatial analysis of the maps suggest that the spillover effects, if any, of the new housing were geographically limited and included unintended negative psychological consequences. Results argue for greater use of GIS and the street block level in community research and of psychological and behavioral variables in planning research and decisions.

  11. Association between neighborhood socioeconomic status and screen time among pre-school children: a cross-sectional study

    PubMed Central

    2010-01-01

    Background Sedentary behavior is considered a separate construct from physical activity and engaging in sedentary behaviors results in health effects independent of physical activity levels. A major source of sedentary behavior in children is time spent viewing TV or movies, playing video games, and using computers. To date no study has examined the impact of neighborhood socioeconomic status (SES) on pre-school children's screen time behavior. Methods Proxy reports of weekday and weekend screen time (TV/movies, video games, and computer use) were completed by 1633 parents on their 4-5 year-old children in Edmonton, Alberta between November, 2005 and August, 2007. Postal codes were used to classified neighborhoods into low, medium or high SES. Multiple linear and logistic regression models were conducted to examine relationships between screen time and neighborhood SES. Results Girls living in low SES neighborhoods engaged in significantly more weekly overall screen time and TV/movie minutes compared to girls living in high SES neighborhoods. The same relationship was not observed in boys. Children living in low SES neighborhoods were significantly more likely to be video game users and less likely to be computer users compared to children living in high SES neighborhoods. Also, children living in medium SES neighborhoods were significantly less likely to be computer users compared to children living in high SES neighborhoods. Conclusions Some consideration should be given to providing alternative activity opportunities for children, especially girls who live in lower SES neighborhoods. Also, future research should continue to investigate the independent effects of neighborhood SES on screen time as well as the potential mediating variables for this relationship. PMID:20573262

  12. Exploring the Role of the Built and Social Neighborhood Environment in Moderating Stress and Health

    PubMed Central

    Yang, Tse-Chuan

    2014-01-01

    Background Health researchers have explored how different aspects of neighborhood characteristics contribute to health and well-being, but current understanding of built environment factors is limited. Purpose This study explores whether the association between stress and health varies by residential neighborhood, and if yes, whether built and social neighborhood environment characteristics act as moderators. Methods This study uses multilevel modeling and variables derived from geospatial data to explore the role of neighborhood environment in moderating the association of stress with health. Individual-level data (N=4,093) were drawn from residents of 45 neighborhoods within Philadelphia County, PA, collected as part of the 2006 Philadelphia Health Management Corporation's Household Health Survey. Results We find that the negative influence of high stress varied by neighborhood, that residential stability and affluence (social characteristics) attenuated the association of high stress with health, and that the presence of hazardous waste facilities (built environment characteristics) moderated health by enhancing the association with stress. Conclusions Our findings suggest that neighborhood environment has both direct and moderating associations with health, after adjusting for individual characteristics. The use of geospatial data could broaden the scope of stress–health research and advance knowledge by untangling the intertwined relationship between built and social environments, stress, and health. In particular, future studies should integrate built environment characteristics in health-related research; these characteristics are modifiable and can facilitate health promotion policies. PMID:20300905

  13. Workplace social capital and mental health among Chinese employees: a multi-level, cross-sectional study.

    PubMed

    Gao, Junling; Weaver, Scott R; Dai, Junming; Jia, Yingnan; Liu, Xingdi; Jin, Kezhi; Fu, Hua

    2014-01-01

    Whereas the majority of previous research on social capital and health has been on residential neighborhoods and communities, the evidence remains sparse on workplace social capital. To address this gap in the literature, we examined the association between workplace social capital and health status among Chinese employees in a large, multi-level, cross-sectional study. By employing a two-stage stratified random sampling procedure, 2,796 employees were identified from 35 workplaces in Shanghai during March to November 2012. Workplace social capital was assessed using a validated and psychometrically tested eight-item measure, and the Chinese language version of the WHO-Five Well-Being Index (WHO-5) was used to assess mental health. Control variables included sex, age, marital status, education level, occupation status, smoking status, physical activity, and job stress. Multilevel logistic regression analysis was conducted to explore whether individual- and workplace-level social capital was associated with mental health status. In total, 34.9% of workers reported poor mental health (WHO-5<13). After controlling for individual-level socio-demographic and lifestyle variables, compared to workers with the highest quartile of personal social capital, workers with the third, second, and lowest quartiles exhibited 1.39 to 3.54 times greater odds of poor mental health, 1.39 (95% CI: 1.10-1.75), 1.85 (95% CI: 1.38-2.46) and 3.54 (95% CI: 2.73-4.59), respectively. Corresponding odds ratios for workplace-level social capital were 0.95 (95% CI: 0.61-1.49), 1.14 (95% CI: 0.72-1.81) and 1.63 (95% CI: 1.05-2.53) for the third, second, and lowest quartiles, respectively. Higher workplace social capital is associated with lower odds of poor mental health among Chinese employees. Promoting social capital at the workplace may contribute to enhancing employees' mental health in China.

  14. Workplace Social Capital and Mental Health among Chinese Employees: A Multi-Level, Cross-Sectional Study

    PubMed Central

    Gao, Junling; Weaver, Scott R.; Dai, Junming; Jia, Yingnan; Liu, Xingdi; Jin, Kezhi; Fu, Hua

    2014-01-01

    Background Whereas the majority of previous research on social capital and health has been on residential neighborhoods and communities, the evidence remains sparse on workplace social capital. To address this gap in the literature, we examined the association between workplace social capital and health status among Chinese employees in a large, multi-level, cross-sectional study. Methods By employing a two-stage stratified random sampling procedure, 2,796 employees were identified from 35 workplaces in Shanghai during March to November 2012. Workplace social capital was assessed using a validated and psychometrically tested eight-item measure, and the Chinese language version of the WHO-Five Well-Being Index (WHO-5) was used to assess mental health. Control variables included sex, age, marital status, education level, occupation status, smoking status, physical activity, and job stress. Multilevel logistic regression analysis was conducted to explore whether individual- and workplace-level social capital was associated with mental health status. Results In total, 34.9% of workers reported poor mental health (WHO-5<13). After controlling for individual-level socio-demographic and lifestyle variables, compared to workers with the highest quartile of personal social capital, workers with the third, second, and lowest quartiles exhibited 1.39 to 3.54 times greater odds of poor mental health, 1.39 (95% CI: 1.10–1.75), 1.85 (95% CI: 1.38–2.46) and 3.54 (95% CI: 2.73–4.59), respectively. Corresponding odds ratios for workplace-level social capital were 0.95 (95% CI: 0.61–1.49), 1.14 (95% CI: 0.72–1.81) and 1.63 (95% CI: 1.05–2.53) for the third, second, and lowest quartiles, respectively. Conclusions Higher workplace social capital is associated with lower odds of poor mental health among Chinese employees. Promoting social capital at the workplace may contribute to enhancing employees’ mental health in China. PMID:24404199

  15. Estimating Multi-Level Discrete-Time Hazard Models Using Cross-Sectional Data: Neighborhood Effects on the Onset of Adolescent Cigarette Use.

    ERIC Educational Resources Information Center

    Reardon, Sean F.; Brennan, Robert T.; Buka, Stephen L.

    2002-01-01

    Developed procedures for constructing a retrospective person-period data set from cross-sectional data and discusses modeling strategies for estimating multilevel discrete-time event history models. Applied the methods to the analysis of cigarette use by 1,979 urban adolescents. Results show the influence of the racial composition of the…

  16. Immigrant enclaves and obesity in preschool-aged children in Los Angeles County.

    PubMed

    Nobari, Tabashir Z; Wang, May-Choo; Chaparro, M Pia; Crespi, Catherine M; Koleilat, Maria; Whaley, Shannon E

    2013-09-01

    While neighborhood environments are increasingly recognized as important contributors to obesity risk, less has been reported on the socio-cultural aspects of neighborhoods that influence obesity development. This is especially true among immigrants, who may lack the necessary language skills to navigate their new living environments. In this study, we tested the hypothesis that young children of immigrants would be at lower obesity risk if they lived in neighborhoods where neighbors share the same language and culture. Using 2000 Census data and 2003-2009 data from the Special Supplemental Nutrition Program for Women, Infants and Children in Los Angeles County, we examined the relation between BMI z-scores in low-income children aged 2-5 years (N = 250,029) and the concentration of neighborhood residents who spoke the same language as the children's mothers. Using multi-level modeling and adjusting for child's gender and race/ethnicity, household education, neighborhood socioeconomic status, and year the child was examined, we found that percent of neighborhood residents who spoke the same language as the child's mother was negatively associated with BMI z-scores. This relation varied by child's race/ethnicity and mother's preferred language. The relation was linear and negative among children of English-speaking Hispanic mothers and Chinese-speaking mothers. However, for Hispanic children of Spanish-speaking mothers the relation was curvilinear, initially exhibiting a positive relation which reversed at higher neighborhood concentrations of Spanish-speaking residents. Our findings suggest that living in neighborhoods where residents share the same language may influence obesity-related behaviors (namely diet and physical activity) possibly through mechanisms involving social networks, support, and norms. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. Land Use, Residential Density, and Walking

    PubMed Central

    Rodríguez, Daniel A.; Evenson, Kelly R.; Diez Roux, Ana V.; Brines, Shannon J.

    2009-01-01

    Background The neighborhood environment may play a role in encouraging sedentary patterns, especially for middle-aged and older adults. Purpose Associations between walking and neighborhood population density, retail availability, and land use distribution were examined using data from a cohort of adults aged 45 to 84 years old. Methods Data from a multi-ethnic sample of 5529 adult residents of Baltimore MD, Chicago IL, Forsyth County NC, Los Angeles CA, New York NY, and St. Paul MN, enrolled in the Multi-Ethnic Study of Atherosclerosis in 2000–2002 were linked to secondary land use and population data. Participant reports of access to destinations and stores and objective measures of the percentage of land area in parcels devoted to retail land uses, the population divided by land area in parcels, and the mixture of uses for areas within 200m of each participant's residence were examined. Multinomial logistic regression was used to investigate associations of self-reported and objective neighborhood characteristics with walking. All analyses were conducted in 2008 and 2009. Results After adjustment for individual-level characteristics and neighborhood connectivity, higher density, greater land area devoted to retail uses, and self-reported measures of proximity of destinations and ease of walking to places were each related to walking. In models including all land use measures, population density was positively associated with walking to places and with walking for exercise for more than 90 min/wk both relative to no walking. Availability of retail was associated with walking to places relative to not walking, having a more proportional mix of land uses was associated with walking for exercise for more than 90 min/wk, while self-reported ease of access to places was related to higher levels of exercise walking both relative to not walking. Conclusions Residential density and the presence of retail uses are related to various walking behaviors. Efforts to increase walking may benefit from attention to the intensity and type of land development. PMID:19840694

  18. One size doesn't fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents.

    PubMed

    Richardson, Andrea S; Troxel, Wendy M; Ghosh-Dastidar, Madhumita B; Beckman, Robin; Hunter, Gerald P; DeSantis, Amy S; Colabianchi, Natalie; Dubowitz, Tamara

    2017-01-19

    Low-income African American adults are disproportionately affected by obesity and are also least likely to engage in recommended levels of physical activity (Flegal et al. JAMA 303(3):235-41, 2010; Tucker et al. Am J Prev Med 40(4):454-61, 2011). Moderate-to-vigorous physical activity (MVPA) is an important factor for weight management and control, as well as for reducing disease risk (Andersen et al. Lancet 368(9532):299-304, 2006; Boreham and Riddoch J Sports Sci 19(12):915-29, 2001; Carson et al. PLoS One 8(8):e71417, 2013). While neighborhood greenspace and walkability have been associated with increased MVPA, evidence also suggests that living in areas with high rates of crime limits MVPA. Few studies have examined to what extent the confluence of neighborhood greenspace, walkability and crime might impact MVPA in low-income African American adults nor how associations may vary by age and sex. In 2013 we collected self-reported data on demographics, functional limitations, objective measures of MVPA (accelerometry), neighborhood greenspace (geographic information system), and walkability (street audit) in 791 predominantly African-American adults (mean age 56 years) living in two United States (U.S.) low-income neighborhoods. We also acquired data from the City of Pittsburgh on all crime events within both neighborhoods. To examine cross-sectional associations of neighborhood-related variables (i.e., neighborhood greenspace, walkability and crime) with MVPA, we used zero-inflated negative binomial regression models. Additionally, we examined potential interactions by age (over 65 years) and sex on relationships between neighborhood variables and MVPA. Overall, residents engaged in very little to no MVPA regardless of where they lived. However, for women, but not men, under the age of 65 years, living in more walkable neighborhoods was associated with more time engaged in MVPA in (β = 0.55, p = 0.007) as compared to their counterparts living in less walkable areas. Women and men age 65 years and over spent very little time participating in MVPA regardless of neighborhood walkability. Neither greenspace nor crime was associated with MVPA in age-sex subgroups. Neighborhood walkability may play a stronger role on MVPA than accessible greenspace or crime in low-income urban communities. Walkability may differentially impact residents depending on their age and sex, which suggests tailoring public health policy design and implementation according to neighborhood demographics to improve activity for all.

  19. Neighborhood environment, racial position, and risk of police-reported domestic violence: a contextual analysis.

    PubMed Central

    Pearlman, Deborah N.; Zierler, Sally; Gjelsvik, Annie; Verhoek-Oftedahl, Wendy

    2003-01-01

    OBJECTIVES: The purpose of this study was to examine the contribution of neighborhood socioeconomic conditions to risk of police-reported domestic violence in relation to victim's race. Data on race came from police forms legally mandated for the reporting of domestic violence and sexual assault. METHODS: Using 1990 U.S. census block group data and data for the years 1996-1998 from Rhode Island's domestic violence surveillance system, the authors generated annual and relative risk of police-reported domestic violence and estimates of trends stratified by age, race (black, Hispanic, or white), and neighborhood measures of socioeconomic conditions. Race-specific linear regression models were constructed with average annual risk of police-reported domestic violence as the dependent variable. RESULTS: Across all levels of neighborhood poverty (< 5% to 100% of residents living below the federal poverty level), the risk of police-reported domestic violence was higher for Hispanic and black women than for white women. Results from the linear regression models varied by race. For black women, living in a census block group in which fewer than 10% of adults ages > or = 25 years were college-educated contributed independently to risk of police-reported domestic violence. Block group measures of relative poverty (> or = 20% of residents living below 200% of the poverty line) and unemployment (> or = 10% of adults ages > or = 16 years in the labor force but unemployed) did not add to this excess. For Hispanic women, three neighborhood-level measures were significant: percentage of residents living in relative poverty, percentage of residents without college degrees, and percentage of households monolingual in Spanish. A higher degree of linguistic isolation, as defined by the percentage of monolingual Spanish households, decreased risk among the most isolated block groups for Hispanic women. For white women, neighborhood-level measures of poverty, unemployment, and education were significant determinants of police-reported domestic violence. CONCLUSION: When data on neighborhood conditions at the block group level and their interaction with individual racial position are linked to population-based surveillance systems, domestic violence intervention and prevention efforts can be improved. PMID:12604764

  20. Using Citizen Scientists to Gather, Analyze, and Disseminate Information About Neighborhood Features That Affect Active Living.

    PubMed

    Winter, Sandra J; Goldman Rosas, Lisa; Padilla Romero, Priscilla; Sheats, Jylana L; Buman, Matthew P; Baker, Cathleen; King, Abby C

    2016-10-01

    Many Latinos are insufficiently active, partly due to neighborhoods with little environmental support for physical activity. Multi-level approaches are needed to create health-promoting neighborhoods in disadvantaged communities. Participant "citizen scientists" were adolescent (n = 10, mean age = 12.8 ± 0.6 years) and older adult (n = 10, mean age = 71.3 ± 6.5 years), low income Latinos in North Fair Oaks, California. Citizen scientists conducted environmental assessments to document perceived barriers to active living using the Stanford Healthy Neighborhood Discovery Tool, which records GPS-tracked walking routes, photographs, audio narratives, and survey responses. Using a community-engaged approach, citizen scientists subsequently attended a community meeting to engage in advocacy training, review assessment data, prioritize issues to address and brainstorm potential solutions and partners. Citizen scientists each conducted a neighborhood environmental assessment and recorded 366 photographs and audio narratives. Adolescents (n = 4), older adults (n = 7) and community members (n = 4) collectively identified reducing trash and improving personal safety and sidewalk quality as the priority issues to address. Three adolescent and four older adult citizen scientists volunteered to present study findings to key stakeholders. This study demonstrated that with minimal training, low-income, Latino adolescent and older adult citizen scientists can: (1) use innovative technology to gather information about features of their neighborhood environment that influence active living, (2) analyze their information and identify potential solutions, and (3) engage with stakeholders to advocate for the development of healthier neighborhoods.

  1. Using Citizen Scientists to Gather, Analyze, and Disseminate Information about Neighborhood Features that Affect Active Living

    PubMed Central

    Winter, Sandra J; Rosas, Lisa Goldman; Romero, Priscilla Padilla; Sheats, Jylana L; Buman, Matthew P; Baker, Cathleen; King, Abby C

    2015-01-01

    Background Many Latinos are insufficiently active, partly due to neighborhoods with little environmental support for physical activity. Multi-level approaches are needed to create health-promoting neighborhoods in disadvantaged communities. Methods Participant “citizen scientists” were adolescent (n=10, mean age=12.8±0.6 years) and older adult (n=10, mean age=71.3±6.5 years), low income Latinos in North Fair Oaks, California. Citizen scientists conducted environmental assessments to document perceived barriers to active living using the Stanford Healthy Neighborhood Discovery Tool, which records GPS-tracked walking routes, photographs, audio narratives, and survey responses. Using a community-engaged approach, citizen scientists subsequently attended a community meeting to engage in advocacy training, review assessment data, prioritize issues to address and brainstorm potential solutions and partners. Results Citizen scientists each conducted a neighborhood environmental assessment and recorded 366 photographs and audio narratives. Adolescents (n=4), older adults (n=7) and community members (n=4) collectively identified reducing trash and improving personal safety and sidewalk quality as the priority issues to address. Three adolescent and four older adult citizen scientists volunteered to present study findings to key stakeholders. Conclusions This study demonstrated that with minimal training, low-income, Latino adolescent and older adult citizen scientists can: 1) use innovative technology to gather information about features of their neighborhood environment that influence active living, 2) analyze their information and identify potential solutions, and 3) engage with stakeholders to advocate for the development of healthier neighborhoods. PMID:26184398

  2. An investigation of neighborhood-level social, economic and physical factors for railway suicide in Victoria, Australia.

    PubMed

    Too, Lay San; Spittal, Matthew J; Bugeja, Lyndal; Milner, Allison; Stevenson, Mark; McClure, Roderick

    2015-09-01

    This study investigates the associations between railway suicide and neighborhood social, economic, and physical determinants using postcode-level data. It also examines whether the associations are influenced by having high concentration of high-risk individuals in a neighborhood area. Railway suicide cases from Victoria, Australia for the period of 2001-2012, their age, sex, year of death, usual residential address and suicide location were obtained from the National Coronial Information System. Univariate negative binomial regression models were used to estimate the association between railway suicide and neighborhood-level social, economic and physical factors. Variables which were significant in these univariate models were then assessed in a multivariate model, controlling for age and sex of the deceased and other known confounders. Findings from the multivariate analysis indicate that an elevated rate of railway suicide was strongly associated with neighborhood exposure of higher number of railway stations (IRR=1.30 95% CI=1.16-1.46). Other significant neighborhood risk factors included patronage volume (IRR=1.06, 95% CI=1.02-1.11) and train frequency (IRR=1.02, 95% CI=1.01-1.04). An increased number of video surveillance systems at railway stations and carparks was significantly associated with a modest reduction in railway suicide risk (IRR=0.93, 95% CI=0.88-0.98). These associations were independent of concentration of high-risk individuals. Railway suicide may be under-reported in Australia. Interventions to prevent railway suicide should target vulnerable individuals residing in areas characterized by high station density, patronage volume and train frequency. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Spatial and environmental connectivity analysis in a cholera vaccine trial.

    PubMed

    Emch, Michael; Ali, Mohammad; Root, Elisabeth D; Yunus, Mohammad

    2009-02-01

    This paper develops theory and methods for vaccine trials that utilize spatial and environmental information. Satellite imagery is used to identify whether households are connected to one another via water bodies in a study area in rural Bangladesh. Then relationships between neighborhood-level cholera vaccine coverage and placebo incidence and neighborhood-level spatial variables are measured. The study hypothesis is that unvaccinated people who are environmentally connected to people who have been vaccinated will be at lower risk compared to unvaccinated people who are environmentally connected to people who have not been vaccinated. We use four datasets including: a cholera vaccine trial database, a longitudinal demographic database of the rural population from which the vaccine trial participants were selected, a household-level geographic information system (GIS) database of the same study area, and high resolution Quickbird satellite imagery. An environmental connectivity metric was constructed by integrating the satellite imagery with the vaccine and demographic databases linked with GIS. The results show that there is a relationship between neighborhood rates of cholera vaccination and placebo incidence. Thus, people are indirectly protected when more people in their environmentally connected neighborhood are vaccinated. This result is similar to our previous work that used a simpler Euclidean distance neighborhood to measure neighborhood vaccine coverage [Ali, M., Emch, M., von Seidlein, L., Yunus, M., Sack, D. A., Holmgren, J., et al. (2005). Herd immunity conferred by killed oral cholera vaccines in Bangladesh. Lancet, 366(9479), 44-49]. Our new method of measuring environmental connectivity is more precise since it takes into account the transmission mode of cholera and therefore this study validates our assertion that the oral cholera vaccine provides indirect protection in addition to direct protection.

  4. A systematic review of relations between neighborhoods and mental health.

    PubMed

    Truong, Khoa D; Ma, Sai

    2006-09-01

    The relationship between neighborhood characteristics and resident mental health has been widely investigated in individual studies in recent years, but this literature is not adequately reviewed. To systematically review relevant individual research of the relation between neighborhoods and adult mental health by identifying and synthesizing all relevant studies in this literature. We conducted an electronic search with PubMed and PsycINFO, and manual reference-checking, resulting in 8,562 screened studies of which 29 were selected. Studies were included in the main synthesis if they (i) were published in English in peer reviewed journals; (ii) had relevant definitions and measures of neighborhood characteristics; (iii) utilized standardized measures of adult mental health; (iv) controlled for individual characteristics; (v) reported quantitative results; and, (vi) studied a population in a developed country. We focused on two key areas within this literature: the methodologies utilized to study neighborhood effects and quantitative results. With regard to the former, we examined five major issues: (i) definitions and measures of neighborhoods; (ii) definitions and measures of mental health; (iii) controls for individual level characteristics; (iv) conceptual models; and (v) analytical models. As for quantitative results, the relation was reviewed by types of neighborhood characteristics. We summarized general quantitative findings and drew common conclusions across groups of studies. 27/29 studies found statistically significant association between mental health and at least one measure of neighborhood characteristics, after adjusting for individual factors. This association was evident for all types of neighborhood features, varying from sociodemographic characteristics to physical environment, and from objective to subjective measures. Neighborhood effects were weakened when adding individual-level characteristics into the regression models, and were generally modest relative to individual effects. Although the evidence is highly consistent across studies, detailed evaluation of each individual study reveals a complex reality. The included studies used various study designs and measures of mental health and neighborhoods, making generalization of their relationships less meaningful. It is not possible to conclude that studies with weaker controls for individual characteristics found stronger association between neighborhoods and mental health and vice versa. As only two studies used randomized and controlled trials, causal effects must be interpreted with caution. Formal meta-analysis techniques cannot be used due to large heterogeneity across the included studies. Efficient methods for quantitative analysis remain a great challenge. The current evidence suggests that efforts to improve mental health may be limited if only individual-level interventions are implemented. The calculation of the costs and benefits of neighborhood-level interventions deserves more attention. Moreover, policy makers may want to incorporate mental health as a measure for evaluating neighborhood improvement programs. There are not enough replicated or comparable studies in this literature to make more precise quantitative conclusions of this relation. Key aspects of study design and analyses could be improved to better understand the true nature of causal relationships. The data resolution of neighborhood characteristics needs to better match with the scale of neighborhood definition that is hypothesized to affect the residents' mental health. As experimental designs are rare in this area, thoughtful use of panel data, instrumental variable (IV) techniques, and other non-experimental approaches deserves further exploration.

  5. Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities?

    PubMed Central

    Aldstadt, Jared; Whalen, John; White, Kellee; Castro, Marcia C.; Williams, David R.

    2017-01-01

    BACKGROUND Multiple and varied benefits have been suggested for increased neighborhood walkability. However, spatial inequalities in neighborhood walkability likely exist and may be attributable, in part, to residential segregation. OBJECTIVE Utilizing a spatial demographic perspective, we evaluated potential spatial inequalities in walkable neighborhood amenities across census tracts in Boston, MA (US). METHODS The independent variables included minority racial/ethnic population percentages and percent of families in poverty. Walkable neighborhood amenities were assessed with a composite measure. Spatial autocorrelation in key study variables were first calculated with the Global Moran’s I statistic. Then, Spearman correlations between neighborhood socio-demographic characteristics and walkable neighborhood amenities were calculated as well as Spearman correlations accounting for spatial autocorrelation. We fit ordinary least squares (OLS) regression and spatial autoregressive models, when appropriate, as a final step. RESULTS Significant positive spatial autocorrelation was found in neighborhood socio-demographic characteristics (e.g. census tract percent Black), but not walkable neighborhood amenities or in the OLS regression residuals. Spearman correlations between neighborhood socio-demographic characteristics and walkable neighborhood amenities were not statistically significant, nor were neighborhood socio-demographic characteristics significantly associated with walkable neighborhood amenities in OLS regression models. CONCLUSIONS Our results suggest that there is residential segregation in Boston and that spatial inequalities do not necessarily show up using a composite measure. COMMENTS Future research in other geographic areas (including international contexts) and using different definitions of neighborhoods (including small-area definitions) should evaluate if spatial inequalities are found using composite measures but also should use measures of specific neighborhood amenities. PMID:29046612

  6. Obesogenic Neighborhood Environments, Child and Parent Obesity

    PubMed Central

    Saelens, Brian E.; Sallis, James F.; Frank, Lawrence D.; Couch, Sarah C.; Zhou, Chuan; Colburn, Trina; Cain, Kelli L.; Chapman, James; Glanz, Karen

    2012-01-01

    Background Identifying neighborhood environment attributes related to childhood obesity can inform environmental changes for obesity prevention. Purpose To evaluate child and parent weight status across neighborhoods in King County/Seattle and San Diego County differing in GIS-defined physical activity environment (PAE) and nutrition environment (NE) characteristics. Methods Neighborhoods were selected to represent high (favorable) versus low (unfavorable) on the two measures, forming four neighborhood types (low on both measures, low PAE/high NE, high PAE/low NE, and high on both measures). Weight and height of children aged 6–11 years and one parent (n=730) from selected neighborhoods were assessed in 2007–2009. Differences in child and parent overweight and obesity by neighborhood type were examined, adjusting for neighborhood-, family-, and individual-level demographics. Results Children from neighborhoods high on both environment measures were less likely to be obese (7.7% vs 15.9% OR=0.44, p=0.02) and marginally less likely to be overweight (23.7% vs 31.7%; OR=0.67, p=0.08) than children from neighborhoods low on both measures. In models adjusted for parent weight status and demographic factors, neighborhood environment type remained related to child obesity (high vs low on both measures; OR=0.41, p<0.03). Parents in neighborhoods high on both measures (versus low on both) were marginally less likely to be obese (20.1% vs 27.7%; OR=0.66; p=0.08), although parent overweight did not differ on this variable. The lower odds of parent obesity in neighborhoods with environments supportive of physical activity and healthy eating remained in models adjusted for demographics (high vs low on the environment measures; OR=0.57, p=0.053). Conclusions Findings support the proposed GIS-based definitions of obesogenic neighborhoods for children and parents that consider both physical activity and nutrition environment features. PMID:22516504

  7. Family and neighborhood disadvantage, home environment, and children's school readiness.

    PubMed

    Jeon, Lieny; Buettner, Cynthia K; Hur, Eunhye

    2014-10-01

    The purpose of this study was to examine associations between family socioeconomic risk, neighborhood disadvantage, and children's school readiness. A sample of 420 children from 48 early childcare programs yielded multi-informant data. The average age was 55.3 months (SD = 6.4), with 38% of children being Black, non-Hispanic, Hispanic, or other minority race (American Indian or Alaska Native, Asian, and Native Hawaiian or Pacific Islander). One third (32.4%) of the parents had annual incomes less than $30,000. We used multilevel structural equation modeling to test direct and indirect associations among family socioeconomic risk and neighborhood disadvantage and children's cognitive and social-emotional development through home learning environment and parental depression. Children with a greater number of family socioeconomic risks and a higher level of neighborhood disadvantage demonstrated lower scores on cognitive skills. The degree of family socioeconomic risk was indirectly associated with children's cognitive ability through parents' cognitive stimulation at home. Parents who had more family socioeconomic risks and neighborhood disadvantage reported more depressive symptoms, which, in turn, suggested children's greater probability of having social-emotional problems. In other words, home learning environments explained associations between family socioeconomic disadvantage and children's cognitive skills, while parental depression explained associations between family/neighborhood disadvantages and children's social-emotional problems. Results suggest the importance of intervention or prevention strategies for parents to improve cognitive stimulation at home and to reduce depressive symptoms. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  8. Social Resources and Community Resilience in the Wake of Superstorm Sandy.

    PubMed

    Cagney, Kathleen A; Sterrett, David; Benz, Jennifer; Tompson, Trevor

    2016-01-01

    Recovery efforts after natural disasters typically focus on physical infrastructure. In general less attention is paid to the social infrastructure that might impact the capacity of the community to rebuild. We examine perceptions of preparedness and recovery (markers of resilience at the community level) in the wake of Superstorm Sandy with a novel data set that includes a multi-mode survey of twelve neighborhoods severely affected by the storm. With these data, we suggest that social resources are associated with beliefs about neighborhood resilience. People who live in communities with higher social cohesion (coefficient = .73, p <.001), informal social control (coefficient = .53, p <.001), and social exchange (coefficient = .69, p <.001) are more likely to believe their neighborhoods are well prepared for a disaster. Likewise, people living in communities with higher social cohesion (coefficient = .35, p <.01), informal social control (coefficient = .27, p <.05), and social exchange (coefficient = .42, p <.001) are more likely to be confident their neighborhoods will recover quickly from a disaster. However, the effects of social resources on beliefs about resilience vary based on neighborhood socioeconomic status (SES) and the impact of the storm. Informal social control and social exchange lead to a greater increase in confidence in recovery in low, as compared to high, SES neighborhoods. Social resources tend to have more impact on perceptions of recovery in communities less affected by the storm. In sum, these findings suggest the potential value of various forms of social intervention to better equip communities to respond when disaster strikes.

  9. Beyond cultural factors to understand immigrant mental health: Neighborhood ethnic density and the moderating role of pre-migration and post-migration factors.

    PubMed

    Arévalo, Sandra P; Tucker, Katherine L; Falcón, Luis M

    2015-08-01

    Pre-migration and post-migration factors may influence the health of immigrants. Using a cross-national framework that considers the effects of the sending and receiving social contexts, we examined the extent to which pre-migration and post-migration factors, including individual and neighborhood level factors, influence depressive symptoms at a 2-year follow-up time point. Data come from the Boston Puerto Rican Health Study, a population-based prospective cohort of Puerto Ricans between the ages of 45 and 75 y. The association of neighborhood ethnic density with depressive symptomatology at follow-up was significantly modified by sex and level of language acculturation. Men, but not women, experienced protective effects of ethnic density. The interaction of neighborhood ethnic density with language acculturation had a non-linear effect on depressive symptomatology, with lowest depressive symptomatology in the second highest quartile of language acculturation, relative to the lowest and top two quartiles among residents of high ethnic density neighborhoods. Results from this study highlight the complexity, and interplay, of a number of factors that influence the health of immigrants, and emphasize the significance of moving beyond cultural variables to better understand why the health of some immigrant groups deteriorates at faster rates overtime. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. The Impact of Neighborhood, Family, and Individual Risk Factors on Toddlers’ Disruptive Behavior

    PubMed Central

    Heberle, Amy E.; Thomas, Yolanda M.; Wagmiller, Robert L.; Briggs-Gowan, Margaret J.; Carter, Alice S.

    2014-01-01

    Disadvantaged neighborhoods confer risk for behavior problems in school aged children but their impact in toddlerhood is unknown. Relations between toddlers’ disruptive behavior and neighborhood disadvantage, family disadvantage, violence or conflict exposure, parent depressive symptoms, and parenting behavior were examined using multilevel, multi-group (girl/boy) models. Participants were 1204 families (mean child age = 24.7 months). Unique associations between disruptive behavior and all risk factors were observed, but the effect of neighborhood disadvantage was negligible when all of the more proximal factors were accounted for. The results suggest both that children in disadvantaged neighborhoods are at greater risk of behavior problems than children in non-disadvantaged neighborhoods and that optimal prevention/intervention work with these children will attend to proximal risk factors. PMID:24773306

  11. Striding Toward Social Justice: The Ecologic Milieu of Physical Activity

    PubMed Central

    Lee, Rebecca E.; Cubbin, Catherine

    2009-01-01

    Disparities in physical activity should be investigated in light of social justice principles. This manuscript critically evaluates evidence and trends in disparities research within an ecologic framework, focusing on multi-level factors such as neighborhood and racial discrimination that influence physical activity. Discussion focuses on strategies for integrating social justice into physical activity promotion and intervention programming within an ecologic framework. PMID:19098519

  12. Constructing a Time-Invariant Measure of the Socio-economic Status of U.S. Census Tracts.

    PubMed

    Miles, Jeremy N; Weden, Margaret M; Lavery, Diana; Escarce, José J; Cagney, Kathleen A; Shih, Regina A

    2016-02-01

    Contextual research on time and place requires a consistent measurement instrument for neighborhood conditions in order to make unbiased inferences about neighborhood change. We develop such a time-invariant measure of neighborhood socio-economic status (NSES) using exploratory and confirmatory factor analyses fit to census data at the tract level from the 1990 and 2000 U.S. Censuses and the 2008-2012 American Community Survey. A single factor model fit the data well at all three time periods, and factor loadings--but not indicator intercepts--could be constrained to equality over time without decrement to fit. After addressing remaining longitudinal measurement bias, we found that NSES increased from 1990 to 2000, and then--consistent with the timing of the "Great Recession"--declined in 2008-2012 to a level approaching that of 1990. Our approach for evaluating and adjusting for time-invariance is not only instructive for studies of NSES but also more generally for longitudinal studies in which the variable of interest is a latent construct.

  13. Neighborhoods, Social and Cultural Correlates of Obesity Risk among Latinos living on the U.S.-Mexico border in Southern California.

    PubMed

    Baquero, Barbara; Molina, Marisa; Elder, John P; Norman, Gregory J; Ayala, Guadalupe X

    2016-01-01

    We explored the relationship between obesity and neighborhood-related, social, and cultural variables and possible moderation by acculturation and cross-national practices. We obtained data from the 2009 San Diego Prevention Research Center's community survey, which used multistage sampling methods to recruit 397 adult respondents and conducted multilevel logistic analytic methods. Nearly half of the respondents were obese. Respondents had low acculturation scores and reported crossing the U.S.-Mexico border about three times per month, mostly to visit family and friends. Neighborhoods where respondents lived were predominantly Latino and had 27% home ownership. A significant cross-level interaction emerged: those who reported crossing the border and reported higher levels of collective efficacy were more likely to be obese than those who had not crossed. Study findings provide evidence of the complex relationship among obesity risk factors in a U.S.-Mexico border community that warrant further examination to prevent and control obesity.

  14. Lower Neighborhood Socioeconomic Status Associated with Reduced Diversity of the Colonic Microbiota in Healthy Adults.

    PubMed

    Miller, Gregory E; Engen, Phillip A; Gillevet, Patrick M; Shaikh, Maliha; Sikaroodi, Masoumeh; Forsyth, Christopher B; Mutlu, Ece; Keshavarzian, Ali

    2016-01-01

    In the United States, there are persistent and widening socioeconomic gaps in morbidity and mortality from chronic diseases. Although most disparities research focuses on person-level socioeconomic-status, mounting evidence suggest that chronic diseases also pattern by the demographic characteristics of neighborhoods. Yet the biological mechanisms underlying these associations are poorly understood. There is increasing recognition that chronic diseases share common pathogenic features, some of which involve alterations in the composition, diversity, and functioning of the gut microbiota. This study examined whether socioeconomic-status was associated with alpha-diversity of the colonic microbiota. Forty-four healthy adults underwent un-prepped sigmoidoscopy, during which mucosal biopsies and fecal samples were collected. Subjects' zip codes were geocoded, and census data was used to form a composite indicator of neighborhood socioeconomic-status, reflecting household income, educational attainment, employment status, and home value. In unadjusted analyses, neighborhood socioeconomic-status explained 12-18 percent of the variability in alpha-diversity of colonic microbiota. The direction of these associations was positive, meaning that as neighborhood socioeconomic-status increased, so did alpha-diversity of both the colonic sigmoid mucosa and fecal microbiota. The strength of these associations persisted when models were expanded to include covariates reflecting potential demographic (age, gender, race/ethnicity) and lifestyle (adiposity, alcohol use, smoking) confounds. In these models neighborhood socioeconomic-status continued to explain 11-22 percent of the variability in diversity indicators. Further analyses suggested these patterns reflected socioeconomic variations in evenness, but not richness, of microbial communities residing in the sigmoid. We also found indications that residence in neighborhoods of higher socioeconomic-status was associated with a greater abundance of Bacteroides and a lower abundance of Prevotella, suggesting that diet potentially underlies differences in microbiota composition. These findings suggest the presence of socioeconomic variations in colonic microbiota diversity. Future research should explore whether these variations contribute to disparities in chronic disease outcomes.

  15. Neighborhood Economic Deprivation and Social Fragmentation: Associations With Children's Sleep.

    PubMed

    Bagley, Erika J; Fuller-Rowell, Thomas E; Saini, Ekjyot K; Philbrook, Lauren E; El-Sheikh, Mona

    2016-12-09

    A growing body of work indicates that experiences of neighborhood disadvantage place children at risk for poor sleep. This study aimed to examine how both neighborhood economic deprivation (a measure of poverty) and social fragmentation (an index of instability) are associated with objective measures of the length and quality of children's sleep. Participants were 210 children (54.3% boys) living predominantly in small towns and semirural communities in Alabama. On average children were 11.3 years old (SD = .63); 66.7% of the children were European American and 33.3% were African American. The sample was socioeconomically diverse with 67.9% of the participants living at or below the poverty line and 32.1% from lower-middle-class or middle-class families. Indicators of neighborhood characteristics were derived from the 2012 American Community Survey and composited to create two variables representing neighborhood economic deprivation and social fragmentation. Child sleep period, actual sleep minutes, and efficiency were examined using actigraphy. Higher levels of neighborhood economic deprivation were associated with fewer sleep minutes and poorer sleep efficiency. More neighborhood social fragmentation was also linked with poorer sleep efficiency. Analyses controlled for demographic characteristics, child health, and family socioeconomic status. Findings indicate that living in economically and socially disadvantaged neighborhoods predicts risk for shorter and lower-quality sleep in children. Examination of community context in addition to family and individual characteristics may provide a more comprehensive understanding of the factors shaping child sleep.

  16. Multicollinearity in associations between multiple environmental features and body weight and abdominal fat: using matching techniques to assess whether the associations are separable.

    PubMed

    Leal, Cinira; Bean, Kathy; Thomas, Frédérique; Chaix, Basile

    2012-06-01

    Because of the strong correlations among neighborhoods' characteristics, it is not clear whether the associations of specific environmental exposures (e.g., densities of physical features and services) with obesity can be disentangled. Using data from the RECORD (Residential Environment and Coronary Heart Disease) Cohort Study (Paris, France, 2007-2008), the authors investigated whether neighborhood characteristics related to the sociodemographic, physical, service-related, and social-interactional environments were associated with body mass index and waist circumference. The authors developed an original neighborhood characteristic-matching technique (analyses within pairs of participants similarly exposed to an environmental variable) to assess whether or not these associations could be disentangled. After adjustment for individual/neighborhood socioeconomic variables, body mass index/waist circumference was negatively associated with characteristics of the physical/service environments reflecting higher densities (e.g., proportion of built surface, densities of shops selling fruits/vegetables, and restaurants). Multiple adjustment models and the neighborhood characteristic-matching technique were unable to identify which of these neighborhood variables were driving the associations because of high correlations between the environmental variables. Overall, beyond the socioeconomic environment, the physical and service environments may be associated with weight status, but it is difficult to disentangle the effects of strongly correlated environmental dimensions, even if they imply different causal mechanisms and interventions.

  17. Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?

    PubMed

    Frank, Lawrence Douglas; Saelens, Brian E; Powell, Ken E; Chapman, James E

    2007-11-01

    Evidence documents associations between neighborhood design and active and sedentary forms of travel. Most studies compare travel patterns for people located in different types of neighborhoods at one point in time adjusting for demographics. Most fail to account for either underlying neighborhood selection factors (reasons for choosing a neighborhood) or preferences (neighborhoods that are preferred) that impact neighborhood selection and behavior. Known as self-selection, this issue makes it difficult to evaluate causation among built form, behavior, and associated outcomes and to know how much more walking and less driving could occur through creating environments conducive to active transport. The current study controls for neighborhood selection and preference and isolates the effect of the built environment on walking, car use, and obesity. Separate analyses were conducted among 2056 persons in the Atlanta, USA based Strategies for Metropolitan Atlanta's Regional Transportation and Air Quality (SMARTRAQ) travel survey on selection factors and 1466 persons in the SMARTRAQ community preference sub-survey. A significant proportion of the population are "mismatched" and do not live in their preferred neighborhood type. Factors influencing neighborhood selection and individual preferences, and current neighborhood walkability explained vehicle travel distance after controlling for demographic variables. Individuals who preferred and lived in a walkable neighborhood walked most (33.9% walked) and drove 25.8 miles per day on average. Individuals that preferred and lived in car dependent neighborhoods drove the most (43 miles per day) and walked the least (3.3%). Individuals that do not prefer a walkable environment walked little and show no change in obesity prevalence regardless of where they live. About half as many participants were obese (11.7%) who prefer and live in walkable environments than participants who prefer car dependent environments (21.6%). Findings suggest that creating walkable environments may result in higher levels of physical activity and less driving and in slightly lower obesity prevalence for those preferring walkability.

  18. The influence of HOPE VI neighborhood revitalization on neighborhood-based physical activity: A mixed-methods approach.

    PubMed

    Dulin-Keita, Akilah; Clay, Olivio; Whittaker, Shannon; Hannon, Lonnie; Adams, Ingrid K; Rogers, Michelle; Gans, Kim

    2015-08-01

    This study uses a mixed methods approach to 1) identify surrounding residents' perceived expectations for Housing Opportunities for People Everywhere (HOPE VI) policy on physical activity outcomes and to 2) quantitatively examine the odds of neighborhood-based physical activity pre-/post-HOPE VI in a low socioeconomic status, predominantly African American community in Birmingham, Alabama. To address aim one, we used group concept mapping which is a structured approach for data collection and analyses that produces pictures/maps of ideas. Fifty-eight residents developed statements about potential influences of HOPE VI on neighborhood-based physical activity. In the quantitative study, we examined whether these potential influences increased the odds of neighborhood walking/jogging. We computed block entry logistic regression models with a larger cohort of residents at baseline (n = 184) and six-months (n = 142, 77% retention; n = 120 for all informative variables). We examined perceived neighborhood disorder (perceived neighborhood disorder scale), walkability and aesthetics (Neighborhood Environment Walkability Scale) and HOPE VI-related community safety and safety for physical activity as predictors. During concept mapping, residents generated statements that clustered into three distinct concepts, "Increased Leisure Physical Activity," "Safe Play Areas," and "Generating Health Promoting Resources." The quantitative analyses indicated that changes in neighborhood walkability increased the odds of neighborhood-based physical activity (p = 0.04). When HOPE VI-related safety for physical activity was entered into the model, it was associated with increased odds of physical activity (p = 0.04). Walkability was no longer statistically significant. These results suggest that housing policies that create walkable neighborhoods and that improve perceptions of safety for physical activity may increase neighborhood-based physical activity. However, the longer term impacts of neighborhood-level policies on physical activity require more longitudinal evidence to determine whether increased participation in physical activity is sustained. Copyright © 2015 Elsevier Ltd. All rights reserved.

  19. Does the neighborhood context alter the link between youth's after-school time activities and developmental outcomes? A multilevel analysis.

    PubMed

    Fauth, Rebecca C; Roth, Jodie L; Brooks-Gunn, Jeanne

    2007-05-01

    This article examines links between different measures of after-school time activity participation (5 specific activities and breadth) on youth's developmental outcomes (anxiety/depression, delinquency, and substance use) over 6 years and whether these links are moderated by neighborhood-level variables. The sample (N=1,315) of 9- and 12-year-old youth was drawn from the Project on Human Development in Chicago Neighborhoods (PHDCN), a multilevel, longitudinal study of youth from 80 Chicago neighborhoods. Findings revealed that different types of activities and patterns of participation over time were associated with outcomes for youth and that, to some extent, these outcomes varied with neighborhood characteristics. In brief, sports participation was associated with fewer anxious/depressed symptoms, higher average delinquency scores, and increased substance use-both average scores and growth over time. Participation in the arts and student government were negatively associated with average substance use and attenuated increases in usage over time. Participation in community-based clubs was positively associated with youth's anxiety/depression in violent neighborhoods only, whereas church groups were protective against substance use in nonviolent neighborhoods. The direction of the influence of breadth of participation was nonlinear for delinquency such that delinquency scores were highest among youth who engaged in an average number of activities. Copyright (c) 2007 APA, all rights reserved.

  20. Impact of individual and neighborhood factors on disparities in prostate cancer survival.

    PubMed

    DeRouen, Mindy C; Schupp, Clayton W; Koo, Jocelyn; Yang, Juan; Hertz, Andrew; Shariff-Marco, Salma; Cockburn, Myles; Nelson, David O; Ingles, Sue A; John, Esther M; Gomez, Scarlett L

    2018-04-01

    We addressed the hypothesis that individual-level factors act jointly with social and built environment factors to influence overall survival for men with prostate cancer and contribute to racial/ethnic and socioeconomic (SES) survival disparities. We analyzed multi-level data, combining (1) individual-level data from the California Collaborative Prostate Cancer Study, a population-based study of non-Hispanic White (NHW), Hispanic, and African American prostate cancer cases (N = 1800) diagnosed from 1997 to 2003, with (2) data on neighborhood SES (nSES) and social and built environment factors from the California Neighborhoods Data System, and (3) data on tumor characteristics, treatment and follow-up through 2009 from the California Cancer Registry. Multivariable, stage-stratified Cox proportional hazards regression models with cluster adjustments were used to assess education and nSES main and joint effects on overall survival, before and after adjustment for social and built environment factors. African American men had worse survival than NHW men, which was attenuated by nSES. Increased risk of death was associated with residence in lower SES neighborhoods (quintile 1 (lowest nSES) vs. 5: HR = 1.56, 95% CI: 1.11-2.19) and lower education (

  1. Racial Disparities in Sleep: The Role of Neighborhood Disadvantage

    PubMed Central

    Fuller-Rowell, Thomas E.; Curtis, David S.; El-Sheikh, Mona; Chae, David H.; Boylan, Jennifer M.; Ryff, Carol D.

    2016-01-01

    Objective Disparities in sleep duration and efficiency between Black/African American (AA) and White/European American (EA) adults are well-documented. The objective of this study was to examine neighborhood disadvantage as an explanation for race differences in objectively measured sleep. Methods Data were from 133 AA and 293 EA adults who participated in the sleep assessment protocol of the Midlife in the United States (MIDUS) study (57% female; Mean Age = 56.8 years, SD=11.4). Sleep minutes, onset latency, and waking after sleep onset (WASO) were assessed over seven nights using wrist actigraphy. Neighborhood characteristics were assessed by linking home addresses to tract-level socioeconomic data from the 2000 US Census. Multilevel models estimated associations between neighborhood disadvantage and sleep, and the degree to which neighborhood disadvantage mediated race differences in sleep controlling for family socioeconomic position and demographic variables. Results AAs had shorter sleep duration, greater onset latency, and higher WASO than EAs (ps < .001). Neighborhood disadvantage was significantly associated with WASO (B = 3.54, p = .028), but not sleep minutes (B = −2.21, p = .60) or latency (B = 1.55, p = .38). Furthermore, race was indirectly associated with WASO via neighborhood disadvantage (B = 4.63, p = .035), which explained 24% of the race difference. When measures of depression, health behaviors, and obesity were added to the model, the association between neighborhood disadvantage and WASO was attenuated by 11% but remained significant. Conclusion Findings suggest that neighborhood disadvantage mediates a portion of race differences in WASO, an important indicator of sleep efficiency. PMID:27938909

  2. Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models

    PubMed Central

    2018-01-01

    Objectives The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. Methods This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. Results The Moran index was statistically significant for all the variables studied (p<0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. Conclusions Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas. PMID:29397644

  3. An observational study identifying obese subgroups among older adults at increased risk of mobility disability: do perceptions of the neighborhood environment matter?

    PubMed

    King, Abby C; Salvo, Deborah; Banda, Jorge A; Ahn, David K; Gill, Thomas M; Miller, Michael; Newman, Anne B; Fielding, Roger A; Siordia, Carlos; Moore, Spencer; Folta, Sara; Spring, Bonnie; Manini, Todd; Pahor, Marco

    2015-12-18

    Obesity is an increasingly prevalent condition among older adults, yet relatively little is known about how built environment variables may be associated with obesity in older age groups. This is particularly the case for more vulnerable older adults already showing functional limitations associated with subsequent disability. The Lifestyle Interventions and Independence for Elders (LIFE) trial dataset (n = 1600) was used to explore the associations between perceived built environment variables and baseline obesity levels. Age-stratified recursive partitioning methods were applied to identify distinct subgroups with varying obesity prevalence. Among participants aged 70-78 years, four distinct subgroups, defined by combinations of perceived environment and race-ethnicity variables, were identified. The subgroups with the lowest obesity prevalence (45.5-59.4%) consisted of participants who reported living in neighborhoods with higher residential density. Among participants aged 79-89 years, the subgroup (of three distinct subgroups identified) with the lowest obesity prevalence (19.4%) consisted of non-African American/Black participants who reported living in neighborhoods with friends or acquaintances similar in demographic characteristics to themselves. Overall support for the partitioned subgroupings was obtained using mixed model regression analysis. The results suggest that, in combination with race/ethnicity, features of the perceived neighborhood built and social environments differentiated distinct groups of vulnerable older adults from different age strata that differed in obesity prevalence. Pending further verification, the results may help to inform subsequent targeting of such subgroups for further investigation. Clinicaltrials.gov Identifier =  NCT01072500.

  4. Influence of school environments on childhood obesity in California.

    PubMed

    Ortega Hinojosa, Alberto M; MacLeod, Kara E; Balmes, John; Jerrett, Michael

    2018-06-05

    To conduct a state-wide examination of public schools and the school neighborhood as potential targets for environmental public health tracking to address childhood obesity. We examined the relationship of social and physical environmental attributes of the school environment (within school and neighborhood) and childhood obesity in California with machine learning (Random Forest) and multilevel methods. We used data compiled from the California Department of Education, the U.S. Geological Survey, ESRI's Business Analyst, the U.S. Census, and other public sources for ecologic level variables for various years and assessed their relative importance to obesity as determined from the statewide Physical Fitness Test 2003 through 2007 for grades 5, 7, and 9 (n = 5,265,265). In addition to individual-level race and gender, the following within and school neighborhood variables ranked as the most important model contributors based on the Random Forest analysis and were included in multilevel regressions clustered on the county. Violent crime, English learners, socioeconomic disadvantage, fewer physical education (PE) and fully credentialed teachers, and diversity index were positively associated with obesity while academic performance index, PE participation, mean educational attainment and per capita income were negatively associated with obesity. The most highly ranked built or physical environment variables were distance to the nearest highway and greenness, which were 10th and 11th most important, respectively. Many states in the U.S. do not have school-based surveillance programs that collect body mass index data. System-level determinants of obesity can be important for tracking and intervention. The results of these analyses suggest that the school social environment factors may be especially important. Disadvantaged and low academic performing schools have a higher risk for obesity. Supporting such schools in a targeted way may be an efficient way to intervene and could impact both health and academic outcomes. Some of the more important variables, such as having credentialed teachers and participating in PE, are modifiable risk factors. Copyright © 2018. Published by Elsevier Inc.

  5. Association between neighborhood-level deprivation and disability in a community sample of people with diabetes.

    PubMed

    Schmitz, Norbert; Nitka, Danit; Gariepy, Genevieve; Malla, Ashok; Wang, JianLi; Boyer, Richard; Messier, Lyne; Strychar, Irene; Lesage, Alain

    2009-11-01

    The objective of the present study was to analyze the association between neighborhood deprivation and self-reported disability in a community sample of people with type 2 diabetes. Random digit dialing was used to select a sample of adults with self-reported diabetes aged 18-80 years in Quebec, Canada. Health status was assessed by the World Health Organization Disability Assessment Schedule II. Material and social deprivation was measured using the Pampalon index, which is based on the Canadian Census. Potential risk factors for disability included sociodemographic characteristics, socioeconomic status, social support, lifestyle-related factors (smoking, physical activity, and BMI), health care-related problems, duration of diabetes, insulin use, and diabetes-specific complications. There was a strong association between disability and material and social deprivation in our sample (n = 1,439): participants living in advantaged neighborhoods had lower levels of disability than participants living in disadvantaged neighborhoods. The means +/- SD disability scores for men were 7.8 +/- 11.8, 12.0 +/- 11.8, and 18.1 +/- 19.4 for low, medium, and high deprivation areas, respectively (P < 0.001). The disability scores for women were 13.4 +/- 12.4, 14.8 +/- 15.9, and 18.9 +/- 16.2 for low, medium, and high deprivation areas, respectively (P < 0.01). Neighborhood deprivation was associated with disability even after controlling for education, household income, sociodemographic characteristics, race, lifestyle-related behaviors, social support, diabetes-related variables, and health care access problems. The inclusion of neighborhood characteristics might be an important step in the identification and interpretation of risk factors for disability in diabetes.

  6. Relations between urban bird and plant communities and human well-being and connection to nature.

    PubMed

    Luck, Gary W; Davidson, Penny; Boxall, Dianne; Smallbone, Lisa

    2011-08-01

    By 2050, 70% of the world's population will live in urban areas. In many cases urbanization reduces the richness and abundance of native species. Living in highly modified environments with fewer opportunities to interact directly with a diversity of native species may adversely affect residents' personal well-being and emotional connection to nature. We assessed the personal well-being, neighborhood well-being (a measure of a person's satisfaction with their neighborhood), and level of connection to nature of over 1000 residents in 36 residential neighborhoods in southeastern Australia. We modeled these response variables as a function of natural features of each neighborhood (e.g., species richness and abundance of birds, density of plants, and amount of vegetation cover) and demographic characteristics of surveyed residents. Vegetation cover had the strongest positive relations with personal well-being, whereas residents' level of connection to nature was weakly related to variation in species richness and abundance of birds and density of plants. Demographic characteristics such as age and level of activity explained the greatest proportion of variance in well-being and connection to nature. Nevertheless, when controlling for variation in demographic characteristics (examples were provided above), neighborhood well-being was positively related to a range of natural features, including species richness and abundance of birds, and vegetation cover. Demographic characteristics and how well-being was quantified strongly influenced our results, and we suggest demography and metrics of well-being must be considered when attempting to determine relations between the urban environment and human well-being. © 2011 Society for Conservation Biology.

  7. A multi-level intervention in subsidized housing sites to increase fruit and vegetable access and intake: Rationale, design and methods of the 'Live Well, Viva Bien' cluster randomized trial.

    PubMed

    Gans, Kim M; Gorham, Gemma; Risica, Patricia M; Dulin-Keita, Akilah; Dionne, Laura; Gao, Tina; Peters, Sarah; Principato, Ludovica

    2016-06-28

    Adequate fruit and vegetable (F&V) intake is important for disease prevention. Yet, most Americans, especially low-income and racial/ethnic minorities, do not eat adequate amounts. These disparities are partly attributable to food environments in low-income neighborhoods where residents often have limited access to affordable, healthful food and easy access to inexpensive, unhealthful foods. Increasing access to affordable healthful food in underserved neighborhoods through mobile markets is a promising, year-round strategy for improving dietary behaviors and reducing F&V intake disparities. However, to date, there have been no randomized controlled trials studying their effectiveness. The objective of the 'Live Well, Viva Bien' (LWVB) cluster randomized controlled trial is to evaluate the efficacy of a multicomponent mobile market intervention at increasing F&V intake among residents of subsidized housing complexes. One housing complex served as a pilot site for the intervention group and the remaining 14 demographically-matched sites were randomized into either the intervention or control group. The intervention group received bimonthly, discount, mobile, fresh F&V markets in conjunction with a nutrition education intervention (two F&V campaigns, newsletters, DVDs and cooking demonstrations) for 12 months. The control group received physical activity and stress reduction interventions. Outcome measures include F&V intake (measured by two validated F&V screeners at baseline, six-month and twelve-months) along with potential psychosocial mediating variables. Extensive quantitative and qualitative process evaluation was also conducted throughout the study. Modifying neighborhood food environments in ways that increase access to affordable, healthful food is a promising strategy for improving dietary behaviors among low-income, racial and ethnic minority groups at increased risk for obesity and other food-related chronic diseases. Discount, mobile F&V markets address all the major barriers to eating more F&V (high cost, poor quality, limited access and limited time to shop and cook) and provide a year-round solution to limited access to healthful food in low-income neighborhoods. LWVB is the first randomized controlled trial evaluating the effectiveness of mobile markets at increasing F&V intake. If proven efficacious at increasing F&V consumption, LWVB could be disseminated widely to neighborhoods that have low access to fresh F&V. Clinicatrials.gov registration number: NCT02669472 First Received: January 19, 2016.

  8. Predicting word-recognition performance in noise by young listeners with normal hearing using acoustic, phonetic, and lexical variables.

    PubMed

    McArdle, Rachel; Wilson, Richard H

    2008-06-01

    To analyze the 50% correct recognition data that were from the Wilson et al (this issue) study and that were obtained from 24 listeners with normal hearing; also to examine whether acoustic, phonetic, or lexical variables can predict recognition performance for monosyllabic words presented in speech-spectrum noise. The specific variables are as follows: (a) acoustic variables (i.e., effective root-mean-square sound pressure level, duration), (b) phonetic variables (i.e., consonant features such as manner, place, and voicing for initial and final phonemes; vowel phonemes), and (c) lexical variables (i.e., word frequency, word familiarity, neighborhood density, neighborhood frequency). The descriptive, correlational study will examine the influence of acoustic, phonetic, and lexical variables on speech recognition in noise performance. Regression analysis demonstrated that 45% of the variance in the 50% point was accounted for by acoustic and phonetic variables whereas only 3% of the variance was accounted for by lexical variables. These findings suggest that monosyllabic word-recognition-in-noise is more dependent on bottom-up processing than on top-down processing. The results suggest that when speech-in-noise testing is used in a pre- and post-hearing-aid-fitting format, the use of monosyllabic words may be sensitive to changes in audibility resulting from amplification.

  9. Cross-validation of the factorial structure of the Neighborhood Environment Walkability Scale (NEWS) and its abbreviated form (NEWS-A)

    PubMed Central

    Cerin, Ester; Conway, Terry L; Saelens, Brian E; Frank, Lawrence D; Sallis, James F

    2009-01-01

    Background The Neighborhood Environment Walkability Scale (NEWS) and its abbreviated form (NEWS-A) assess perceived environmental attributes believed to influence physical activity. A multilevel confirmatory factor analysis (MCFA) conducted on a sample from Seattle, WA showed that, at the respondent level, the factor-analyzable items of the NEWS and NEWS-A measured 11 and 10 constructs of perceived neighborhood environment, respectively. At the census blockgroup (used by the US Census Bureau as a subunit of census tracts) level, the MCFA yielded five factors for both NEWS and NEWS-A. The aim of this study was to cross-validate the individual- and blockgroup-level measurement models of the NEWS and NEWS-A in a geographical location and population different from those used in the original validation study. Methods A sample of 912 adults was recruited from 16 selected neighborhoods (116 census blockgroups) in the Baltimore, MD region. Neighborhoods were stratified according to their socio-economic status and transport-related walkability level measured using Geographic Information Systems. Participants self-completed the NEWS. MCFA was used to cross-validate the individual- and blockgroup-level measurement models of the NEWS and NEWS-A. Results The data provided sufficient support for the factorial validity of the original individual-level measurement models, which consisted of 11 (NEWS) and 10 (NEWS-A) correlated factors. The original blockgroup-level measurement model of the NEWS and NEWS-A showed poor fit to the data and required substantial modifications. These included the combining of aspects of building aesthetics with safety from crime into one factor; the separation of natural aesthetics and building aesthetics into two factors; and for the NEWS-A, the separation of presence of sidewalks/walking routes from other infrastructure for walking. Conclusion This study provided support for the generalizability of the individual-level measurement models of the NEWS and NEWS-A to different urban geographical locations in the USA. It is recommended that the NEWS and NEWS-A be scored according to their individual-level measurement models, which are relatively stable and correspond to constructs commonly used in the urban planning and transportation fields. However, prior to using these instruments in international and multi-cultural studies, further validation work across diverse non-English speaking countries and populations is needed. PMID:19508724

  10. Cross-validation of the factorial structure of the Neighborhood Environment Walkability Scale (NEWS) and its abbreviated form (NEWS-A).

    PubMed

    Cerin, Ester; Conway, Terry L; Saelens, Brian E; Frank, Lawrence D; Sallis, James F

    2009-06-09

    The Neighborhood Environment Walkability Scale (NEWS) and its abbreviated form (NEWS-A) assess perceived environmental attributes believed to influence physical activity. A multilevel confirmatory factor analysis (MCFA) conducted on a sample from Seattle, WA showed that, at the respondent level, the factor-analyzable items of the NEWS and NEWS-A measured 11 and 10 constructs of perceived neighborhood environment, respectively. At the census blockgroup (used by the US Census Bureau as a subunit of census tracts) level, the MCFA yielded five factors for both NEWS and NEWS-A. The aim of this study was to cross-validate the individual- and blockgroup-level measurement models of the NEWS and NEWS-A in a geographical location and population different from those used in the original validation study. A sample of 912 adults was recruited from 16 selected neighborhoods (116 census blockgroups) in the Baltimore, MD region. Neighborhoods were stratified according to their socio-economic status and transport-related walkability level measured using Geographic Information Systems. Participants self-completed the NEWS. MCFA was used to cross-validate the individual- and blockgroup-level measurement models of the NEWS and NEWS-A. The data provided sufficient support for the factorial validity of the original individual-level measurement models, which consisted of 11 (NEWS) and 10 (NEWS-A) correlated factors. The original blockgroup-level measurement model of the NEWS and NEWS-A showed poor fit to the data and required substantial modifications. These included the combining of aspects of building aesthetics with safety from crime into one factor; the separation of natural aesthetics and building aesthetics into two factors; and for the NEWS-A, the separation of presence of sidewalks/walking routes from other infrastructure for walking. This study provided support for the generalizability of the individual-level measurement models of the NEWS and NEWS-A to different urban geographical locations in the USA. It is recommended that the NEWS and NEWS-A be scored according to their individual-level measurement models, which are relatively stable and correspond to constructs commonly used in the urban planning and transportation fields. However, prior to using these instruments in international and multi-cultural studies, further validation work across diverse non-English speaking countries and populations is needed.

  11. Ethnic enclaves and risk of psychiatric disorders among first- and second-generation immigrants in Sweden.

    PubMed

    Mezuk, Briana; Li, Xinjun; Cederin, Klas; Concha, Jeannie; Kendler, Kenneth S; Sundquist, Jan; Sundquist, Kristina

    2015-11-01

    Some non-Western immigrant groups in Europe have elevated risk of psychosis relative to native-born. It is hypothesized that neighborhood ethnic density moderates this risk. Immigration to Sweden has increased substantially recently, particularly from the Middle East. This study examined the relationship between neighborhood ethnic density (i.e., living in an immigrant enclave) and risk of psychotic and affective disorders among three groups: Iraqi immigrants, immigrants from other nations, and native-born Swedes. Individuals aged 15-60, without prevalent psychopathology, were drawn from Swedish population-based registries and followed from 2005 to 2010 (N = 950,979). Multi-level logistic regression was used to examine the association between neighborhood ethnic composition and incident psychopathology. Cumulative incidence of psychopathology was greater in Iraqi enclaves relative to predominantly Swedish neighborhoods (6.3 vs. 4.5%). Iraqis living in enclaves did not have significantly greater risk of psychosis (Odds Ratio (OR): 1.66, 95% Confidence Interval (CI) 0.92-2.97) or affective disorders (OR: 1.04, 95%CI 0.85-1.27) relative to those in predominantly Swedish neighborhoods. There was no increased risk of psychosis (OR: 0.93, p > 0.05) or affective disorders (OR: 0.93, p > 0.05) for other immigrants living in an enclave. Swedes living in an enclave had elevated risk of both psychosis (OR: 1.37, p < 0.05) and affective disorders (OR: 1.14, p < 0.05) relative to those in predominantly Swedish neighborhoods. Second-generation Iraqis had higher risk of psychotic but not affective disorders relative to first-generation. Neighborhood ethnic density does not moderate risk of psychopathology for immigrants in Sweden. Findings regarding Swedes are consistent with social drift.

  12. Ethnic enclaves and risk of psychiatric disorders among first and second generation immigrants in Sweden

    PubMed Central

    Mezuk, Briana; Li, Xinjun; Cederin, Klas; Concha, Jeannie; Kendler, Kenneth S.; Sundquist, Jan; Sundquist, Kristina

    2015-01-01

    Purpose Some non-Western immigrant groups in Europe have elevated risk of psychosis relative to native-born. It is hypothesized that neighborhood ethnic density moderates this risk. Immigration to Sweden has increased substantially recently, particularly from the Middle East. This study examined the relationship between neighborhood ethnic density (i.e., living in an immigrant enclave) and risk of psychotic and affective disorders among three groups: Iraqi immigrants, immigrants from other nations, and native-born Swedes. Methods Individuals aged 15 to 60, without prevalent psychopathology, were drawn from Swedish population-based registries and followed from 2005 to 2010 (N=1,442,931). Multi-level logistic regression was used to examine the association between neighborhood ethnic composition and incident psychopathology. Results Cumulative incidence of psychopathology was greater in Iraqi enclaves relative to predominantly Swedish neighborhoods (6.3% vs. 4.5%). Iraqis living in enclaves did not have significantly greater risk of psychosis (Odds Ratio (OR): 1.66, 95% Confidence Interval (CI): 0.92 – 2.97) or affective disorders (OR: 1.04, 95%CI: 0.85 – 1.27) relative to those in predominantly Swedish neighborhoods. There was no increased risk of psychosis (OR: 0.93, p>0.05) or affective disorders (OR: 0.93, p>0.05) for other immigrants living in an enclave. Swedes living in an enclave had elevated risk of both psychosis (OR: 1.37, p<0.05) and affective disorders (OR: 1.14, p<0.05) relative to those in predominantly Swedish neighborhoods. Second-generation Iraqis had higher risk of psychotic but not affective disorders relative to first-generation. Conclusions Neighborhood ethnic density does not moderate risk of psychopathology for immigrants in Sweden. Findings regarding Swedes are consistent with social drift. PMID:26311534

  13. Associations between neighborhood characteristics and sexual risk behaviors among HIV-infected and HIV-uninfected women in the southern United States.

    PubMed

    Haley, Danielle F; Haardörfer, Regine; Kramer, Michael R; Adimora, Adaora A; Wingood, Gina M; Goswami, Neela D; Rubtsova, Anna; Ludema, Christina; Hickson, DeMarc A; Ramirez, Catalina; Ross, Zev; Bolivar, Hector; Cooper, Hannah L F

    2017-04-01

    Neighborhood characteristics shape sexual risk in HIV-uninfected adults in the United States (US). We assess relationships between census tract characteristics and sexual risk behaviors in a predominantly HIV-infected cohort of women living in the Southern US. This cross-sectional multilevel analysis included data from 737 HIV-infected and HIV-uninfected women enrolled in the Women's Interagency HIV Study. Administrative data captured characteristics of census tracts where women lived; participant-level data were gathered via survey. We used principal components analysis to condense tract-level variables into components: social disorder (e.g., violent crime rate), and social disadvantage (e.g., alcohol outlet density). We used hierarchical generalized linear models to assess relationships between tract-level characteristics and condomless vaginal intercourse, anal intercourse, and condomless anal intercourse. Greater social disorder was associated with less anal intercourse (OR = 0.63, 95% CI = 0.43-0.94) and condomless anal intercourse (OR = 0.49, 95% CI = 0.30-0.80), regardless of HIV status. There were no statistically significant additive or multiplicative interactions between tract characteristics and HIV status. Neighborhood characteristics are associated with sexual risk behaviors among women living in the Southern US, these relationships do not vary by HIV status. Future studies should establish temporality and explore the causal pathways through which neighborhoods influence sexual risk. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. Associations between Neighborhood Characteristics and Sexual Risk Behaviors among HIV-infected and HIV-uninfected Women in the Southern United States

    PubMed Central

    Haley, Danielle F.; Haardörfer, Regine; Kramer, Michael R.; Adimora, Adaora A.; Wingood, Gina M.; Goswami, Neela D.; Rubtsova, Anna; Ludema, Christina; Hickson, DeMarc A.; Ramirez, Catalina; Ross, Zev; Bolivar, Hector; Cooper, Hannah LF

    2017-01-01

    Introduction Neighborhood characteristics shape sexual risk in HIV-uninfected adults in the United States (US). We assess relationships between census tract characteristics and sexual risk behaviors in a predominantly HIV-infected cohort of women living in the Southern US. Methods This cross-sectional multilevel analysis included data from 737 HIV-infected and HIV-uninfected women enrolled in the Women’s Interagency HIV Study. Administrative data captured characteristics of census tracts where women lived; participant-level data were gathered via survey. We used principal components analysis to condense tract-level variables into components: social disorder (e.g., violent crime rate) and social disadvantage (e.g., alcohol outlet density). We used hierarchical generalized linear models to assess relationships between tract-level characteristics and condomless vaginal intercourse (CVI), anal intercourse (AI), and condomless anal intercourse (CAI). Results Greater social disorder was associated with less AI (OR=0.63, 95% CI=0.43, 0.94) and CAI (OR=0.49, 95% CI=0.30, 0.80), regardless of HIV status. There were no statistically significant additive or multiplicative interactions between tract characteristics and HIV status. Conclusion Neighborhood characteristics are associated with sexual risk behaviors among women living in the Southern US, these relationships do not vary by HIV status. Future studies should establish temporality and explore the causal pathways through which neighborhoods influence sexual risk. PMID:28476327

  15. Neighborhood attributes security and solidarity promote the well-being of community-dwelling older people in the Netherlands.

    PubMed

    Cramm, Jane M; Nieboer, Anna P

    2014-07-01

    To determine whether the neighborhood attributes solidarity and security positively affect the well-being of community-dwelling older people in the Netherlands after accounting for individual characteristics, and to test if a higher level of security in combination with a stronger sense of neighborhood solidarity results in a higher level of well-being. The study sample for the cross-sectional study consisted of 869 out of 2212 (39% response rate) independently-living older adults (aged >70 years) in 92 neighborhoods of Rotterdam. We fitted a hierarchical random-effects model to account for the structure of the study design: 869 older people (level 1) nested in 92 neighborhoods (level 2) in 10 districts (level 3). Neighborhood security and solidarity among neighbors varied significantly among the 10 districts. Univariate analyses showed that education, income, neighborhood security and solidarity within neighborhoods (all P ≤ 0.001) were significantly related to the well-being of community-dwelling older people. Multilevel analyses showed neighborhood security and solidarity within neighborhoods predicted the well-being of community-dwelling older people. Furthermore, a positive interaction effect was found between neighborhood security and solidarity within neighborhoods, and well-being of community-dwelling older people. Neighborhood security and solidarity among neighbors are important for the well-being of community-dwelling older people. Furthermore, neighborhoods with high levels of perceived security in combination with stronger solidarity among neighbors are especially beneficial to the well-being of community-dwelling older people. © 2013 Japan Geriatrics Society.

  16. Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas.

    PubMed

    Kim, Jun-Hyun; Gu, Donghwan; Sohn, Wonmin; Kil, Sung-Ho; Kim, Hwanyong; Lee, Dong-Kun

    2016-09-02

    Rapid urbanization has accelerated land use and land cover changes, and generated the urban heat island effect (UHI). Previous studies have reported positive effects of neighborhood landscapes on mitigating urban surface temperatures. However, the influence of neighborhood landscape spatial patterns on enhancing cooling effects has not yet been fully investigated. The main objective of this study was to assess the relationships between neighborhood landscape spatial patterns and land surface temperatures (LST) by using multi-regression models considering spatial autocorrelation issues. To measure the influence of neighborhood landscape spatial patterns on LST, this study analyzed neighborhood environments of 15,862 single-family houses in Austin, Texas, USA. Using aerial photos, geographic information systems (GIS), and remote sensing, FRAGSTATS was employed to calculate values of several landscape indices used to measure neighborhood landscape spatial patterns. After controlling for the spatial autocorrelation effect, results showed that larger and better-connected landscape spatial patterns were positively correlated with lower LST values in neighborhoods, while more fragmented and isolated neighborhood landscape patterns were negatively related to the reduction of LST.

  17. Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas

    PubMed Central

    Kim, Jun-Hyun; Gu, Donghwan; Sohn, Wonmin; Kil, Sung-Ho; Kim, Hwanyong; Lee, Dong-Kun

    2016-01-01

    Rapid urbanization has accelerated land use and land cover changes, and generated the urban heat island effect (UHI). Previous studies have reported positive effects of neighborhood landscapes on mitigating urban surface temperatures. However, the influence of neighborhood landscape spatial patterns on enhancing cooling effects has not yet been fully investigated. The main objective of this study was to assess the relationships between neighborhood landscape spatial patterns and land surface temperatures (LST) by using multi-regression models considering spatial autocorrelation issues. To measure the influence of neighborhood landscape spatial patterns on LST, this study analyzed neighborhood environments of 15,862 single-family houses in Austin, Texas, USA. Using aerial photos, geographic information systems (GIS), and remote sensing, FRAGSTATS was employed to calculate values of several landscape indices used to measure neighborhood landscape spatial patterns. After controlling for the spatial autocorrelation effect, results showed that larger and better-connected landscape spatial patterns were positively correlated with lower LST values in neighborhoods, while more fragmented and isolated neighborhood landscape patterns were negatively related to the reduction of LST. PMID:27598186

  18. Neighborhoods, Schools and Obesity: The Potential for Place-Based Approaches to Reduce Childhood Obesity

    PubMed Central

    Elbel, Brian; Corcoran, Sean P.; Schwartz, Amy Ellen

    2016-01-01

    A common policy approach to reducing childhood obesity aims to shape the environment in which children spend most of their time: neighborhoods and schools. This paper uses richly detailed data on the body mass index (BMI) of all New York City public school students in grades K-8 to assess the potential for place-based approaches to reduce child obesity. We document variation in the prevalence of obesity across NYC public schools and census tracts, and then estimate the extent to which this variation can be explained by differences in individual-level predictors (such as race and household income). Both unadjusted and adjusted variability across neighborhoods and schools suggest place-based policies have the potential to meaningfully reduce child obesity, but under most realistic scenarios the improvement would be modest. PMID:27309533

  19. Neighborhoods, Schools and Obesity: The Potential for Place-Based Approaches to Reduce Childhood Obesity.

    PubMed

    Elbel, Brian; Corcoran, Sean P; Schwartz, Amy Ellen

    2016-01-01

    A common policy approach to reducing childhood obesity aims to shape the environment in which children spend most of their time: neighborhoods and schools. This paper uses richly detailed data on the body mass index (BMI) of all New York City public school students in grades K-8 to assess the potential for place-based approaches to reduce child obesity. We document variation in the prevalence of obesity across NYC public schools and census tracts, and then estimate the extent to which this variation can be explained by differences in individual-level predictors (such as race and household income). Both unadjusted and adjusted variability across neighborhoods and schools suggest place-based policies have the potential to meaningfully reduce child obesity, but under most realistic scenarios the improvement would be modest.

  20. Environmental and socio-demographic individual, family and neighborhood factors associated with children intestinal parasitoses at Iguazú, in the subtropical northern border of Argentina

    PubMed Central

    De Angelo, Carlos; Nuñez, Pablo; Salas, Martín; Motta, Carlos E.; Chiaretta, Alicia; Salomón, Oscar D.; Liang, Song

    2017-01-01

    Background Intestinal parasitoses are a major concern for public health, especially in children from middle and low-income populations of tropical and subtropical areas. We examined the presence and co-infection of parasites in humans as well as parasitic environmental contamination in Puerto Iguazú, Argentina. We explored the environmental and socio-demographic characteristics of the persistence of parasites in children and their environment. Methodology/Principal findings This cross-section survey was conducted among children population comprised into the area of the public health care centers of Iguazú during June 2013 to May 2016. Copro-parasitological status of 483 asymptomatic children was assessed. Simultaneously, a design-based sampling of 744 soil samples and 530 dog feces was used for characterize the environmental contamination. The 71.5% of these sites were contaminated. Sixteen genera were detected in the environment being hookworms (62.0%) the main pathogens group detected followed by Toxocara spp (16.3%), Trichuris spp (15.2%) and Giardia (6.5%). Total children prevalence raised 58.8%, detecting twelve genera of parasite with Giardia intestinalis as the most prevalent pathogen (29.0%) followed by Enterobius vermicularis (23.0%), Hymenolepis nana (12.4%) and hookworms (4.4%). Through questionnaires and census data, we characterized the socio-demographics conditions at an individual, family and neighborhood levels. A multi-level analysis including environmental contamination data showed that the ´presence of parasites´ was mostly determined by individual (e.g. age, playing habits, previous treatment) and household level (e.g. UBN, WASH, mother's literacy) determinants. Remarkably, to define the level of ‘parasite co-infection’, besides individual and household characteristics, environmental factors at a neighborhood level were important. Conclusion/Significance Our work represents the major survey of intestinal parasites in human and environmental samples developed in the region. High prevalence was detected in the children population as well as in their environment. This work shows the importance of considering and promoting multi-level actions over the identified determinants to face this public health problem from integrative approaches. PMID:29155829

  1. Environmental and socio-demographic individual, family and neighborhood factors associated with children intestinal parasitoses at Iguazú, in the subtropical northern border of Argentina.

    PubMed

    Rivero, Maria Romina; De Angelo, Carlos; Nuñez, Pablo; Salas, Martín; Motta, Carlos E; Chiaretta, Alicia; Salomón, Oscar D; Liang, Song

    2017-11-01

    Intestinal parasitoses are a major concern for public health, especially in children from middle and low-income populations of tropical and subtropical areas. We examined the presence and co-infection of parasites in humans as well as parasitic environmental contamination in Puerto Iguazú, Argentina. We explored the environmental and socio-demographic characteristics of the persistence of parasites in children and their environment. This cross-section survey was conducted among children population comprised into the area of the public health care centers of Iguazú during June 2013 to May 2016. Copro-parasitological status of 483 asymptomatic children was assessed. Simultaneously, a design-based sampling of 744 soil samples and 530 dog feces was used for characterize the environmental contamination. The 71.5% of these sites were contaminated. Sixteen genera were detected in the environment being hookworms (62.0%) the main pathogens group detected followed by Toxocara spp (16.3%), Trichuris spp (15.2%) and Giardia (6.5%). Total children prevalence raised 58.8%, detecting twelve genera of parasite with Giardia intestinalis as the most prevalent pathogen (29.0%) followed by Enterobius vermicularis (23.0%), Hymenolepis nana (12.4%) and hookworms (4.4%). Through questionnaires and census data, we characterized the socio-demographics conditions at an individual, family and neighborhood levels. A multi-level analysis including environmental contamination data showed that the ´presence of parasites´ was mostly determined by individual (e.g. age, playing habits, previous treatment) and household level (e.g. UBN, WASH, mother's literacy) determinants. Remarkably, to define the level of 'parasite co-infection', besides individual and household characteristics, environmental factors at a neighborhood level were important. Our work represents the major survey of intestinal parasites in human and environmental samples developed in the region. High prevalence was detected in the children population as well as in their environment. This work shows the importance of considering and promoting multi-level actions over the identified determinants to face this public health problem from integrative approaches.

  2. Socioeconomic Status and the Health of Youth: A Multi-level, Multi-domain Approach to Conceptualizing Pathways

    PubMed Central

    Schreier, Hannah M. C.; Chen, Edith

    2012-01-01

    Previous research has clearly established associations between low socioeconomic status (SES) and poor youth physical health outcomes. This article provides an overview of the main pathways through which low SES environments come to influence youth health. We focus on two of the most prevalent chronic health problems in youth today, asthma and obesity. We review and propose a model that encompasses (1) multiple levels of influence, including the neighborhood, family and person level, (2) both social and physical domains in the environment, and finally (3) dynamic relationships between these factors. A synthesis of existing research and our proposed model draw attention to the notion of adverse physical and social exposures in youth’s neighborhood environments altering family characteristics and youth psychosocial and behavioral profiles, thereby increasing youth’s risk for health problems. We also note the importance of acknowledging reciprocal influences across levels and domains (e.g., between family and child) that create self-perpetuating patterns of influence that further accentuate the impact of these factors on youth health. Finally, we document that factors across levels can interact (e.g., environmental pollution levels with child stress) to create unique, synergistic effects on youth health. Our model stresses the importance of evaluating influences on youth’s physical health not in isolation but in the context of the broader social and physical environments in which youth live. Understanding the complex relationships between the factors that link low SES to youth’s long-term health trajectories is necessary for the creation and implementation of successful interventions and policies to ultimately reduce health disparities. PMID:22845752

  3. Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering

    PubMed Central

    Sicat, Ronell; Krüger, Jens; Möller, Torsten; Hadwiger, Markus

    2015-01-01

    This paper presents a new multi-resolution volume representation called sparse pdf volumes, which enables consistent multi-resolution volume rendering based on probability density functions (pdfs) of voxel neighborhoods. These pdfs are defined in the 4D domain jointly comprising the 3D volume and its 1D intensity range. Crucially, the computation of sparse pdf volumes exploits data coherence in 4D, resulting in a sparse representation with surprisingly low storage requirements. At run time, we dynamically apply transfer functions to the pdfs using simple and fast convolutions. Whereas standard low-pass filtering and down-sampling incur visible differences between resolution levels, the use of pdfs facilitates consistent results independent of the resolution level used. We describe the efficient out-of-core computation of large-scale sparse pdf volumes, using a novel iterative simplification procedure of a mixture of 4D Gaussians. Finally, our data structure is optimized to facilitate interactive multi-resolution volume rendering on GPUs. PMID:26146475

  4. Inter-relationships between objective and subjective measures of the residential environment among urban African American women

    PubMed Central

    Sealy-Jefferson, Shawnita; Messer, Lynne; Slaughter-Acey, Jaime; Misra, Dawn P.

    2016-01-01

    Background The inter-relationships between objective (census-based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations. Methods Using data from the Life Influences on Fetal Environments Study (2009–2011) (n=1,387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI). Two-level generalized linear models estimated associations between objective and subjective measures of the residential environment, accounting for individual-level covariates. Results In unconditional models, intraclass correlation coefficients for block-group variance in subjective reports ranged from 11% (healthy food availability) to 30% (safety). Models accounting for the NDI (versus both NDI and individual level covariates) accounted for more variance in healthy food availability (23% versus 8%) and social disorder (40% versus 38%). The NDI and individual level variables accounted for 39% and 51% of the area-level variation in walkability and safety. Associations between subjective and objective measures of the residential environment were significant and in the expected direction. Conclusions Future studies on neighborhood effects on health, especially among AAs, should include a wide range of residential environment measures, including subjective, objective and spatial contextual variables. PMID:28160971

  5. Inter-relationships between objective and subjective measures of the residential environment among urban African American women.

    PubMed

    Sealy-Jefferson, Shawnita; Messer, Lynne; Slaughter-Acey, Jaime; Misra, Dawn P

    2017-03-01

    The inter-relationships between objective (census based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations. Using data from the Life Influences on Fetal Environments Study (2009-2011; n = 1387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety, and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI). Two-level generalized linear models estimated associations between objective and subjective measures of the residential environment, accounting for individual-level covariates. In unconditional models, intraclass correlation coefficients for block-group variance in subjective reports ranged from 11% (healthy food availability) to 30% (safety). Models accounting for the NDI (vs. both NDI and individual-level covariates) accounted for more variance in healthy food availability (23% vs. 8%) and social disorder (40% vs. 38%). The NDI and individual-level variables accounted for 39% and 51% of the area-level variation in walkability and safety, respectively. Associations between subjective and objective measures of the residential environment were significant and in the expected direction. Future studies on neighborhood effects on health, especially among AAs, should include a wide range of residential environment measures, including subjective, objective, and spatial contextual variables. Copyright © 2016 Elsevier Inc. All rights reserved.

  6. Preventing cold-related morbidity and mortality in a changing climate

    PubMed Central

    Conlon, Kathryn C; Rajkovich, Nicholas B; White-Newsome, Jalonne L; Larsen, Larissa; Neill, Marie S O

    2011-01-01

    Winter weather patterns are anticipated to become more variable with increasing average global temperatures. Research shows that excess morbidity and mortality occurs during cold weather periods. We critically reviewed evidence relating temperature variability, health outcomes, and adaptation strategies to cold weather. Health outcomes included cardiovascular-, respiratory-, cerebrovascular-, and all-cause morbidity and mortality. Individual and contextual risk factors were assessed to highlight associations between individual- and neighborhood- level characteristics that contribute to a person’s vulnerability to variability in cold weather events. Epidemiologic studies indicate that the populations most vulnerable to variations in cold winter weather are the elderly, rural and, generally, populations living in moderate winter climates. Fortunately, cold-related morbidity and mortality are preventable and strategies exist for protecting populations from these adverse health outcomes. We present a range of adaptation strategies that can be implemented at the individual, building, and neighborhood level to protect vulnerable populations from cold-related morbidity and mortality. The existing research justifies the need for increased outreach to individuals and communities for education on protective adaptations in cold weather. We propose that future climate change adaptation research couple building energy and thermal comfort models with epidemiological data to evaluate and quantify the impacts of adaptation strategies. PMID:21592693

  7. The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington.

    PubMed

    Moudon, Anne Vernez; Lin, Lin; Jiao, Junfeng; Hurvitz, Philip; Reeves, Paula

    2011-01-01

    This study examined the correlates of injury severity using police records of pedestrian-motor-vehicle collisions on state routes and city streets in King County, Washington. Levels of influence on collision outcome considered (1) the characteristics of individual pedestrians and drivers and their actions; (2) the road environment; and (3) the neighborhood environment. Binary logistic regressions served to estimate the risk of a pedestrian being severely injured or dying versus suffering minor or no injury. Significant individual-level influences on injury severity were confirmed for both types of roads: pedestrians being older or younger; the vehicle moving straight on the roadway. New variables associated with increased risk of severe injury or death included: having more than two pedestrians involved in a collision; and on city streets, the driver being inebriated. Road intersection design was significant only in the state route models, with pedestrians crossing at intersections without signals increasing the risk of being injured or dying. Adjusting for pedestrians' and drivers' characteristics and actions, neighborhood medium home values and higher residential densities increased the risk of injury or death. No other road or neighborhood environment variable remained significant, suggesting that pedestrians were not safer in areas with high pedestrian activity. Copyright © 2009 Elsevier Ltd. All rights reserved.

  8. Associations of Alcohol Availability and Neighborhood Socioeconomic Characteristics With Drinking: Cross-Sectional Results From the Multi-Ethnic Study of Atherosclerosis (MESA).

    PubMed

    Brenner, Allison B; Diez Roux, Ana V; Barrientos-Gutierrez, Tonatiuh; Borrell, Luisa N

    2015-01-01

    Living in neighborhoods with a high density of alcohol outlets and socioeconomic disadvantage may increase residents' alcohol use. Few researchers have studied these exposures in relation to multiple types of alcohol use, including beverage-specific consumption, and how individual demographic factors influence these relationships. To examine the relationships of alcohol outlet density and neighborhood disadvantage with alcohol consumption, and to investigate differences in these associations by race/ethnicity and income. Using cross-sectional data (N = 5,873) from the Multi-ethnic Study of Atherosclerosis in 2002, we examine associations of residential alcohol outlet density and neighborhood socioeconomic disadvantage with current, total weekly and heaviest daily alcohol use in gender-specific regression models, as well as moderation by race/ethnicity and income. Drinking men living near high densities of alcohol outlets had 23%-29% more weekly alcohol use than men in low density areas. Among women who drank, those living near a moderate density of alcohol outlets consumed approximately 40% less liquor each week than those in low density areas, but higher outlet densities were associated with more wine consumption (35%-49%). Living in highly or moderately disadvantaged neighborhoods was associated with a lower probability of being a current drinker, but with higher rates of weekly beer consumption. Income moderated the relationship between neighborhood context and weekly alcohol use. Neighborhood disadvantage and alcohol outlet density may influence alcohol use with effects varying by gender and income. Results from this research may help target interventions and policy to groups most at risk for greater weekly consumption.

  9. Social Resources and Community Resilience in the Wake of Superstorm Sandy

    PubMed Central

    Cagney, Kathleen A.; Sterrett, David; Benz, Jennifer; Tompson, Trevor

    2016-01-01

    Recovery efforts after natural disasters typically focus on physical infrastructure. In general less attention is paid to the social infrastructure that might impact the capacity of the community to rebuild. We examine perceptions of preparedness and recovery (markers of resilience at the community level) in the wake of Superstorm Sandy with a novel data set that includes a multi-mode survey of twelve neighborhoods severely affected by the storm. With these data, we suggest that social resources are associated with beliefs about neighborhood resilience. People who live in communities with higher social cohesion (coefficient = .73, p <.001), informal social control (coefficient = .53, p <.001), and social exchange (coefficient = .69, p <.001) are more likely to believe their neighborhoods are well prepared for a disaster. Likewise, people living in communities with higher social cohesion (coefficient = .35, p <.01), informal social control (coefficient = .27, p <.05), and social exchange (coefficient = .42, p <.001) are more likely to be confident their neighborhoods will recover quickly from a disaster. However, the effects of social resources on beliefs about resilience vary based on neighborhood socioeconomic status (SES) and the impact of the storm. Informal social control and social exchange lead to a greater increase in confidence in recovery in low, as compared to high, SES neighborhoods. Social resources tend to have more impact on perceptions of recovery in communities less affected by the storm. In sum, these findings suggest the potential value of various forms of social intervention to better equip communities to respond when disaster strikes. PMID:27579482

  10. Contribution of Streetscape Audits to Explanation of Physical Activity in Four Age Groups Based on the Microscale Audit of Pedestrian Streetscapes (MAPS)

    PubMed Central

    Cain, Kelli L.; Millstein, Rachel A.; Sallis, James F.; Conway, Terry L.; Gavand, Kavita A.; Frank, Lawrence D.; Saelens, Brian E.; Geremia, Carrie M.; Chapman, James; Adams, Marc A.; Glanz, Karen; King, Abby C.

    2014-01-01

    Ecological models of physical activity emphasize the effects of environmental influences. “Microscale” streetscape features that may affect pedestrian experience have received less research attention than macroscale walkability (e.g., residential density). The Microscale Audit of Pedestrian Streetscapes (MAPS) measures street design, transit stops, sidewalk qualities, street crossing amenities, and features impacting aesthetics. The present study examined associations of microscale attributes with multiple physical activity (PA) measures across four age groups. Areas in the San Diego, Seattle, and the Baltimore metropolitan areas, USA, were selected that varied on macro-level walkability and neighborhood income. Participants (n=3677) represented four age groups (children, adolescents, adults, older adults). MAPS audits were conducted along a 0.25 mile route along the street network from participant residences toward the nearest non-residential destination. MAPS data were collected in 2009–2010. Subscale and overall summary scores were created. Walking/biking for transportation and leisure/neighborhood PA were measured with age-appropriate surveys. Objective PA was measured with accelerometers. Mixed linear regression analyses were adjusted for macro-level walkability. Across all age groups 51.2%, 22.1%, and 15.7% of all MAPS scores were significantly associated with walking/biking for transport, leisure/neighborhood PA, and objectively-measured PA, respectively. Supporting the ecological model principle of behavioral specificity, destinations and land use, streetscape, street segment, and intersection variables were more related to transport walking/biking, while aesthetic variables were related to leisure/neighborhood PA. The overall score was related to objective PA in children and older adults. Present findings provide strong evidence that microscale environment attributes are related to PA across the lifespan. Improving microscale features may be a feasible approach to creating activity-friendly environments. PMID:24983701

  11. THE DEVELOPMENT OF A STANDARDIZED NEIGHBORHOOD DEPRIVATION INDEX FOR USE WITH REPRODUCTIVE OUTCOMES

    EPA Science Inventory

    Census data are widely used for assessing neighborhood socioeconomic context. Research using census data has been inconsistent in variable choice and usually limited to single geographic areas. This paper seeks to a) outline a process for developing a neighborhood deprivation i...

  12. Factors associated with low neighborhood cohesion among women living with HIV impacted by social-structural inequities in British Columbia.

    PubMed

    Closson, Kalysha; Palmer, Alexis K; Collins, Alexandra B; Salters, Kate; Zhang, Wendy; Montaner, Julio S G; Hogg, Robert S; Parashar, Surita

    2018-03-01

    Built and social environments, including one's perception of their environment, are important determinants of health. The intersection of gender and HIV status may complicate the role of neighborhood cohesion in safety, personal well-being, and health outcomes for populations impacted by social and structural inequities. Among women in particular, social cohesion within the neighborhood they reside in may have a greater influence on health outcomes compared to their male counterparts. We sought to examine perception of neighborhood cohesion (validated scale with a range 0-100, with higher scores indicating higher perceived neighborhood cohesion) among women living with HIV, impacted by social-structural inequities, receiving combination antiretroviral therapy, and enrolled in the Longitudinal Investigations into Supportive Ancillary health services (LISA) study in British Columbia, Canada. Cross-sectional data on neighborhood cohesion and socio-demographic data were collected in an interviewer-administered survey. Of the 1,000 LISA participants interviewed, 908 (including 249 women and 659 men) had complete data for the variables of interest. At the bivariate level, women had worse perceived neighborhood cohesion scores compared to men (median: 56 [95% CI: 44-66] vs. 60 [95% CI: 47-71]). Multivariable model results indicated that for women living with HIV in our sample, greater neighborhood cohesion scores were positively associated with stable housing (β coefficient = 7.85; 95% CI: 3.61, 12.10, p < 0.001), and negatively associated with greater perceived HIV stigma (β coefficient = -1.19; 95% CI: -2.24 to-0.15; p = 0.025). The results illustrate the gendered nature of experiencing built and social environments, and highlight the need for women-centred interventions to address the social determinants of HIV burden associated with negative perceptions of neighborhood cohesion.

  13. Advancing maternal age and infant birth weight among urban African Americans: the effect of neighborhood poverty.

    PubMed

    Collins, James W; Simon, Dyan M; Jackson, Tara A; Drolet, Aimee

    2006-01-01

    This study sought to determine whether neighborhood poverty modifies the relationship between maternal age and infant birth weight among urban African Americans. Stratified analyses were performed on the vital records of African Americans born in Chicago by means of 1992-1995 computerized birth file with appended 1990 US Census income and 1995 Chicago Department of Public Health data. Four neighborhood-level variables (low median family income, high rates of unemployment, homicide, and lead poisoning) were analyzed. This is a population-based study. Twenty-one percent (n=21,811) of women resided in nonimpoverished neighborhoods (zero ecologic risk factors); 23% (n=24,914) of women lived in extremely impoverished neighborhoods (four ecologic risk factors). In nonimpoverished neighborhoods, 30-34 year old women had a moderately low birth weight (1500-2499 g) rate of 13.9% compared to 10.3% for women aged 20-24 years; risk difference (95% confidence interval [CI])=3.5 (2.2-4.6). In contrast, extremely impoverished women aged 30-34 years had a moderately low birth weight rate of 19.8% compared to 11.8% for women aged 20-24 years; risk difference (95% CI)=7.7 (6.1-9.3). This trend persisted among women who received early prenatal care and were primagravids or of low parity. Neighborhood poverty did not modify the association of advancing maternal age and the risk of very low birth weight (<1500 g). Neighborhood poverty accelerates the rise in moderately low birth weight but not very low birth weight; rates were associated with advancing maternal age among urban African Americans.

  14. A retrospective study on changes in residents' physical activities, social interactions, and neighborhood cohesion after moving to a walkable community.

    PubMed

    Zhu, Xuemei; Yu, Chia-Yuan; Lee, Chanam; Lu, Zhipeng; Mann, George

    2014-12-01

    This study is to examine changes in residents' physical activities, social interactions, and neighborhood cohesion after they moved to a walkable community in Austin, Texas. Retrospective surveys (N=449) were administered in 2013-2014 to collect pre- and post-move data about the outcome variables and relevant personal, social, and physical environmental factors. Walkability of each resident's pre-move community was measured using the Walk Score. T tests were used to examine the pre-post move differences in the outcomes in the whole sample and across sub-groups with different physical activity levels, neighborhood conditions, and neighborhood preferences before the move. After the move, total physical activity increased significantly in the whole sample and all sub-groups except those who were previously sufficiently active; lived in communities with high walkability, social interactions, or neighborhood cohesion; or had moderate preference for walkable neighborhoods. Walking in the community increased in the whole sample and all subgroups except those who were previously sufficiently active, moved from high-walkability communities, or had little to no preference for walkable neighborhoods. Social interactions and neighborhood cohesion increased significantly after the move in the whole sample and all sub-groups. This study explored potential health benefits of a walkable community in promoting physically and socially active lifestyles, especially for populations at higher risk of obesity. The initial result is promising, suggesting the need for more work to further examine the relationships between health and community design using pre-post assessments. Copyright © 2014 Elsevier Inc. All rights reserved.

  15. Walk Score® and Transit Score® and Walking in the Multi-Ethnic Study of Atherosclerosis

    PubMed Central

    Hirsch, Jana A.; Moore, Kari A.; Evenson, Kelly R.; Rodriguez, Daniel A; Diez Roux, Ana V.

    2013-01-01

    Background Walk Score® and Transit Score® are open-source measures of the neighborhood built environment to support walking (“walkability”) and access to transportation. Purpose To investigate associations of Street Smart Walk Score and Transit Score with self-reported transport and leisure walking using data from a large multi-city and diverse population-based sample of adults. Methods Data from a sample of 4552 residents of Baltimore MD; Chicago IL; Forsyth County NC; Los Angeles CA; New York NY; and St. Paul MN from the Multi-Ethnic Study of Atherosclerosis (2010–2012) were linked to Walk Score and Transit Score (collected in 2012). Logistic and linear regression models estimated ORs of not walking and mean differences in minutes walked, respectively, associated with continuous and categoric Walk Score and Transit Score. All analyses were conducted in 2012. Results After adjustment for site, key sociodemographic, and health variables, a higher Walk Score was associated with lower odds of not walking for transport and more minutes/week of transport walking. Compared to those in a “walker’s paradise,” lower categories of Walk Score were associated with a linear increase in odds of not transport walking and a decline in minutes of leisure walking. An increase in Transit Score was associated with lower odds of not transport walking or leisure walking, and additional minutes/week of leisure walking. Conclusions Walk Score and Transit Score appear to be useful as measures of walkability in analyses of neighborhood effects. PMID:23867022

  16. Assessing the psychometric and ecometric properties of neighborhood scales using adolescent survey data from urban and rural Scotland.

    PubMed

    Martin, Gina; Inchley, Joanna; Humphris, Gerry; Currie, Candace

    2017-03-28

    Despite the well-established need for specific measurement instruments to examine the relationship between neighborhood conditions and adolescent well-being outcomes, few studies have developed scales to measure features of the neighborhoods in which adolescents reside. Moreover, measures of neighborhood features may be operationalised differently by adolescents living in different levels of urban/rurality. This has not been addressed in previous studies. The objectives of this study were to: 1) establish instruments to measure adolescent neighborhood features at both the individual and neighborhood level, 2) assess their psychometric and ecometric properties, 3) test for invariance by urban/rurality, and 4) generate neighborhood level scores for use in further analysis. Data were from the Scottish 2010 Health Behaviour in School-aged Children Survey, which included an over-sample of rural adolescents. The survey responses of interest came from questions designed to capture different facets of the local area in which each respondent resided. Intermediate data zones were used as proxies for neighborhoods. Internal consistency was evaluated by Cronbach's alpha. Invariance was examined using confirmatory factor analysis. Multilevel models were used to estimate ecometric properties and generate neighborhood scores. Two constructs labeled neighborhood social cohesion and neighborhood disorder were identified. Adjustment was made to the originally specified model to improve model fit and measures of invariance. At the individual level, reliability was .760 for social cohesion and .765 for disorder, and between .524 and .571 for both constructs at the neighborhood level. Individuals in rural areas experienced greater neighborhood social cohesion and lower levels of neighborhood disorder compared with those in urban areas. The scales are appropriate for measuring neighborhood characteristics experienced by adolescents across urban and rural Scotland, and can be used in future studies of neighborhoods and health. However, trade-offs between neighborhood sample size and reliability must be considered.

  17. Defining Neighborhood Boundaries for Social Measurement: Advancing Social Work Research

    ERIC Educational Resources Information Center

    Foster, Kirk A.; Hipp, J. Aaron

    2011-01-01

    Much of the current neighborhood-based research uses variables aggregated on administrative boundaries such as zip codes, census tracts, and block groups. However, other methods using current technological advances in geographic sciences may broaden our ability to explore the spatial concentration of neighborhood factors affecting individuals and…

  18. School Choice, Gentrification, and the Variable Significance of Racial Stratification in Urban Neighborhoods

    ERIC Educational Resources Information Center

    Pearman, Francis A., III; Swain, Walker A.

    2017-01-01

    Racial and socioeconomic stratification have long governed patterns of residential sorting in the American metropolis. However, recent expansions of school choice policies that allow parents to select schools outside their neighborhood raise questions as to whether this weakening of the neighborhood-school connection might influence the…

  19. Ozone and childhood respiratory disease in three US cities: evaluation of effect measure modification by neighborhood socioeconomic status using a Bayesian hierarchical approach.

    PubMed

    O' Lenick, Cassandra R; Chang, Howard H; Kramer, Michael R; Winquist, Andrea; Mulholland, James A; Friberg, Mariel D; Sarnat, Stefanie Ebelt

    2017-04-05

    Ground-level ozone is a potent airway irritant and a determinant of respiratory morbidity. Susceptibility to the health effects of ambient ozone may be influenced by both intrinsic and extrinsic factors, such as neighborhood socioeconomic status (SES). Questions remain regarding the manner and extent that factors such as SES influence ozone-related health effects, particularly across different study areas. Using a 2-stage modeling approach we evaluated neighborhood SES as a modifier of ozone-related pediatric respiratory morbidity in Atlanta, Dallas, & St. Louis. We acquired multi-year data on emergency department (ED) visits among 5-18 year olds with a primary diagnosis of respiratory disease in each city. Daily concentrations of 8-h maximum ambient ozone were estimated for all ZIP Code Tabulation Areas (ZCTA) in each city by fusing observed concentration data from available network monitors with simulations from an emissions-based chemical transport model. In the first stage, we used conditional logistic regression to estimate ZCTA-specific odds ratios (OR) between ozone and respiratory ED visits, controlling for temporal trends and meteorology. In the second stage, we combined ZCTA-level estimates in a Bayesian hierarchical model to assess overall associations and effect modification by neighborhood SES considering categorical and continuous SES indicators (e.g., ZCTA-specific levels of poverty). We estimated ORs and 95% posterior intervals (PI) for a 25 ppb increase in ozone. The hierarchical model combined effect estimates from 179 ZCTAs in Atlanta, 205 ZCTAs in Dallas, and 151 ZCTAs in St. Louis. The strongest overall association of ozone and pediatric respiratory disease was in Atlanta (OR = 1.08, 95% PI: 1.06, 1.11), followed by Dallas (OR = 1.04, 95% PI: 1.01, 1.07) and St. Louis (OR = 1.03, 95% PI: 0.99, 1.07). Patterns of association across levels of neighborhood SES in each city suggested stronger ORs in low compared to high SES areas, with some evidence of non-linear effect modification. Results suggest that ozone is associated with pediatric respiratory morbidity in multiple US cities; neighborhood SES may modify this association in a non-linear manner. In each city, children living in low SES environments appear to be especially vulnerable given positive ORs and high underlying rates of respiratory morbidity.

  20. The association between social cohesion in the neighborhood and body mass index (BMI): An examination of gendered differences among urban-dwelling Canadians.

    PubMed

    Guilcher, Sara J T; Kaufman-Shriqui, Vered; Hwang, Jongnam; O'Campo, Patricia; Matheson, Flora I; Glazier, Richard H; Booth, Gillian L

    2017-06-01

    Overweight and obesity are major global public health concerns. Obesity is multifactorial in origin and influenced by genetics, psychosocial factors, eating and physical activity behaviors, as well as the environment. The objective of this study is to examine the impact of social cohesion on gender differences in body mass index (BMI) for urban-dwelling Canadians. Cross-sectional data were used from the Neighborhood Effects on Health and Well-being Study (NEHW) in Toronto, Canada (n=2300). Our main outcome, BMI, was calculated from self-reported height and weight (weight (kg)/height (m) 2 ). Using multi-level logistic regression models, we identified a significant interaction between social cohesion and gender on being overweight/obese. Women with higher social cohesion had slightly lower odds of being overweight/obese (OR: 0.96, 95%CI: 0.94 to 0.99) compared to men, after adjusting for other sociodemographic factors (e.g., age, income, education), and neighborhood characteristics (e.g., walkability, neighborhood safety and material deprivation). Future public health research and interventions should consider the differential mechanisms involved in overweight/obesity by gender. The exact mechanisms behind how the social environment influences these pathways are still unclear and require future research. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Neighborhood physical disorder, social cohesion, and insomnia: results from participants over age 50 in the Health and Retirement Study.

    PubMed

    Chen-Edinboro, Lenis P; Kaufmann, Christopher N; Augustinavicius, Jura L; Mojtabai, Ramin; Parisi, Jeanine M; Wennberg, Alexandra M V; Smith, Michael T; Spira, Adam P

    2014-09-15

    ABSTRACT Background: We determined the association between neighborhood socio-environmental factors and insomnia symptoms in a nationally representative sample of US adults aged >50 years. Methods: Data were analyzed from two waves (2006 and 2010) of the Health and Retirement Study using 7,231 community-dwelling participants (3,054 men and 4,177 women) in the United States. Primary predictors were neighborhood physical disorder (e.g. vandalism/graffiti, feeling safe alone after dark, and cleanliness) and social cohesion (e.g. friendliness of people, availability of help when needed, etc.); outcomes were insomnia symptoms (trouble falling asleep, night awakenings, waking too early, and feeling unrested). Results: After adjustment for age, income, race, education, sex, chronic diseases, body mass index, depressive symptoms, smoking, and alcohol consumption, each one-unit increase in neighborhood physical disorder was associated with a greater odds of trouble falling asleep (odds ratio (OR) = 1.09, 95% confidence interval (CI): 1.04-1.14), waking too early (OR = 1.05, 95% CI: 1.00-1.10), and, in adults aged ≥69 years (adjusting for all variables above except age), feeling unrested in the morning (OR = 1.11, 95% CI: 1.02-1.22 in 2006). Each one-unit increase in lower social cohesion was associated with a greater odds of trouble falling asleep (OR = 1.06, 95% CI: 1.01-1.11) and feeling unrested (OR = 1.09, 95% CI: 1.04-1.15). Conclusions: Neighborhood-level factors of physical disorder and social cohesion are associated with insomnia symptoms in middle-aged and older adults. Neighborhood-level factors may affect sleep, and consequently health, in our aging population.

  2. Neighborhood Physical Disorder, Social Cohesion and Insomnia: Results from Participants Over Age 50 in the Health and Retirement Study

    PubMed Central

    Chen-Edinboro, Lenis P.; Kaufmann, Christopher N.; Augustinavicius, Jura L.; Mojtabai, Ramin; Parisi, Jeanine M.; Wennberg, Alexandra M. V.; Smith, Michael T.; Spira, Adam P.

    2014-01-01

    Background We determined the association between neighborhood socio-environmental factors and insomnia symptoms in a nationally representative sample of US adults aged >50 years. Methods Data were analyzed from two waves (2006 and 2010) of the Health and Retirement Study using 7,231 community-dwelling participants (3,054 men and 4,177 women) in the United States. Primary predictors were neighborhood physical disorder (e.g., vandalism/graffiti, feeling safe alone after dark, cleanliness) and social cohesion (e.g., friendliness of people, availability of help when needed); outcomes were insomnia symptoms (trouble falling asleep, night awakenings, waking too early, feeling unrested). Results After adjustment for age, income, race, education, sex, chronic diseases, body mass index, depressive symptoms, smoking, and alcohol consumption, each one-unit increase in neighborhood physical disorder was associated with a greater odds of trouble falling asleep (odds ratio (OR)=1.09, 95% confidence interval (CI) 1.04–1.14), waking too early (OR=1.05, 95% CI 1.00–1.10), and, in adults aged ≥69 (adjusting for all variables above except age), feeling unrested in the morning (OR=1.11, 95% CI 1.02–1.22 in 2006). Each one-unit increase in lower social cohesion was associated with a greater odds of trouble falling asleep (OR=1.06, 95% CI 1.01–1.11) and feeling unrested (OR=1.09, 95% CI 1.04–1.15). Conclusions Neighborhood-level factors of physical disorder and social cohesion are associated with insomnia symptoms in middle-aged and older adults. Neighborhood-level factors may affect sleep, and consequently health, in our aging population. PMID:25222023

  3. The Impact of a Multi-Level Multi-Component Childhood Obesity Prevention Intervention on Healthy Food Availability, Sales, and Purchasing in a Low-Income Urban Area.

    PubMed

    Gittelsohn, Joel; Trude, Angela C; Poirier, Lisa; Ross, Alexandra; Ruggiero, Cara; Schwendler, Teresa; Anderson Steeves, Elizabeth

    2017-11-10

    The multifactorial causes of obesity require multilevel and multicomponent solutions, but such combined strategies have not been tested to improve the community food environment. We evaluated the impact of a multilevel (operating at different levels of the food environment) multicomponent (interventions occurring at the same level) community intervention. The B'more Healthy Communities for Kids (BHCK) intervention worked at the wholesaler ( n = 3), corner store ( n = 50), carryout ( n = 30), recreation center ( n = 28), household ( n = 365) levels to improve availability, purchasing, and consumption of healthier foods and beverages (low-sugar, low-fat) in low-income food desert predominantly African American zones in the city of Baltimore (MD, USA), ultimately intending to lead to decreased weight gain in children (not reported in this manuscript). For this paper, we focus on more proximal impacts on the food environment, and measure change in stocking, sales and purchase of promoted foods at the different levels of the food system in 14 intervention neighborhoods, as compared to 14 comparison neighborhoods. Sales of promoted products increased in wholesalers. Stocking of these products improved in corner stores, but not in carryouts, and we did not find any change in total sales. Children more exposed to the intervention increased their frequency of purchase of promoted products, although improvement was not seen for adult caregivers. A multilevel food environment intervention in a low-income urban setting improved aspects of the food system, leading to increased healthy food purchasing behavior in children.

  4. The Impact of a Multi-Level Multi-Component Childhood Obesity Prevention Intervention on Healthy Food Availability, Sales, and Purchasing in a Low-Income Urban Area

    PubMed Central

    Gittelsohn, Joel; Trude, Angela C.; Poirier, Lisa; Ross, Alexandra; Ruggiero, Cara; Schwendler, Teresa; Anderson Steeves, Elizabeth

    2017-01-01

    The multifactorial causes of obesity require multilevel and multicomponent solutions, but such combined strategies have not been tested to improve the community food environment. We evaluated the impact of a multilevel (operating at different levels of the food environment) multicomponent (interventions occurring at the same level) community intervention. The B’more Healthy Communities for Kids (BHCK) intervention worked at the wholesaler (n = 3), corner store (n = 50), carryout (n = 30), recreation center (n = 28), household (n = 365) levels to improve availability, purchasing, and consumption of healthier foods and beverages (low-sugar, low-fat) in low-income food desert predominantly African American zones in the city of Baltimore (MD, USA), ultimately intending to lead to decreased weight gain in children (not reported in this manuscript). For this paper, we focus on more proximal impacts on the food environment, and measure change in stocking, sales and purchase of promoted foods at the different levels of the food system in 14 intervention neighborhoods, as compared to 14 comparison neighborhoods. Sales of promoted products increased in wholesalers. Stocking of these products improved in corner stores, but not in carryouts, and we did not find any change in total sales. Children more exposed to the intervention increased their frequency of purchase of promoted products, although improvement was not seen for adult caregivers. A multilevel food environment intervention in a low-income urban setting improved aspects of the food system, leading to increased healthy food purchasing behavior in children. PMID:29125558

  5. Neighborhood linking social capital as a predictor of psychiatric medication prescription in the elderly: a Swedish national cohort study.

    PubMed

    Sundquist, Jan; Hamano, Tsuyoshi; Li, Xinjun; Kawakami, Naomi; Shiwaku, Kuninori; Sundquist, Kristina

    2014-08-01

    Little is known about the association between neighborhood linking social capital and psychiatric medication in the elderly. The present study analyzes whether there is an association between linking social capital (a theoretical concept describing the amount of trust between individuals and societal institutions) and prescription of antipsychotics, anxiolytics, hypnotics/sedatives, antidepressants, or anti-dementia drugs. The entire Swedish population aged 65+, a total of 1,292,816 individuals, were followed from 1 July 2005 until first prescription of psychiatric medication, death, emigration, or the end of the study on 31 December 2010. Small geographic units were used to define neighborhoods. The definition of linking social capital was based on mean voting participation in each neighborhood unit, categorized in three groups. Multilevel logistic regression was used to estimate odds ratios (ORs) and between-neighborhood variance in three different models. There was an inverse association between the level of linking social capital and prescription of psychiatric medications (except for anti-dementia drugs). The associations decreased, but remained significant, after accounting for age, sex, family income, marital status, country of birth, and education level (except for antidepressants). The OR for prescription of antipsychotics in the crude model was 1.65 (95% CI 1.53-1.78) and decreased, but remained significant (OR = 1.26; 95% CI 1.17-1.35), after adjustment for the individual-level sociodemographic variables. Decision-makers should take into account the potentially negative effect of linking social capital on psychiatric disorders when planning sites of primary care centers and psychiatric clinics, as well as other kinds of community support for elderly patients with such disorders. Copyright © 2014 Elsevier Ltd. All rights reserved.

  6. Tobacco smoking in urban neighborhoods: exploring social capital as a protective factor in Santiago, Chile.

    PubMed

    Sapag, Jaime C; Poblete, Fernando C; Eicher, Caitlin; Aracena, Marcela; Caneo, Constanza; Vera, Gloria; Martínez, Mayra; Hoyos, Rodrigo; Villarroel, Luis; Bradford, Elizabeth

    2010-09-01

    Research examining the relationship between social capital and health in Latin America has been limited. The aim of this study is to evaluate the association between social capital and tobacco use in four low-income neighborhoods in Santiago, Chile. A multistage probability sample was used to select households in 4 of the 10 poorest neighborhoods in the district of Puente Alto, in Santiago, Chile. A cross-sectional survey of 781 participants (81.2% response rate for households) included sociodemographic variables, questions pertaining to neighborhood social capital, and questions pertaining to tobacco. Main analyses were carried out at the individual level by performing a multiple logistic regression of individual tobacco use on individual perceptions of community social capital. The prevalence of smoking was 43.9% of the surveyed population. A five-factor structure for social capital was identified, including "perceived trust in neighbors," "perceived trust in organizations," "reciprocity within the neighborhood," "neighborhood integration," and "social participation." An inverse relationship between trust in neighbors and tobacco smoking was statistically significantly with an adjusted odds ratio of 0.95 (95% CI: 0.91-0.99). Trust in neighbors was also significantly inversely associated with the number of cigarettes smoked. Tobacco control remains a significant challenge in global health, requiring innovative strategies that address changing social contexts as well as the changing epidemiological profile of developing regions.

  7. Spatial-Temporal Modeling of Neighborhood Sociodemographic Characteristics and Food Stores

    PubMed Central

    Lamichhane, Archana P.; Warren, Joshua L.; Peterson, Marc; Rummo, Pasquale; Gordon-Larsen, Penny

    2015-01-01

    The literature on food stores, neighborhood poverty, and race/ethnicity is mixed and lacks methods of accounting for complex spatial and temporal clustering of food resources. We used quarterly data on supermarket and convenience store locations from Nielsen TDLinx (Nielsen Holdings N.V., New York, New York) spanning 7 years (2006–2012) and census tract-based neighborhood sociodemographic data from the American Community Survey (2006–2010) to assess associations between neighborhood sociodemographic characteristics and food store distributions in the Metropolitan Statistical Areas (MSAs) of 4 US cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and San Francisco, California). We fitted a space-time Poisson regression model that accounted for the complex spatial-temporal correlation structure of store locations by introducing space-time random effects in an intrinsic conditionally autoregressive model within a Bayesian framework. After accounting for census tract–level area, population, their interaction, and spatial and temporal variability, census tract poverty was significantly and positively associated with increasing expected numbers of supermarkets among tracts in all 4 MSAs. A similar positive association was observed for convenience stores in Birmingham, Minneapolis, and San Francisco; in Chicago, a positive association was observed only for predominantly white and predominantly black tracts. Our findings suggest a positive association between greater numbers of food stores and higher neighborhood poverty, with implications for policy approaches related to food store access by neighborhood poverty. PMID:25515169

  8. On the feasibility of measuring urban air pollution by wireless distributed sensor networks.

    PubMed

    Moltchanov, Sharon; Levy, Ilan; Etzion, Yael; Lerner, Uri; Broday, David M; Fishbain, Barak

    2015-01-01

    Accurate evaluation of air pollution on human-wellbeing requires high-resolution measurements. Standard air quality monitoring stations provide accurate pollution levels but due to their sparse distribution they cannot capture the highly resolved spatial variations within cities. Similarly, dedicated field campaigns can use tens of measurement devices and obtain highly dense spatial coverage but normally deployment has been limited to short periods of no more than few weeks. Nowadays, advances in communication and sensory technologies enable the deployment of dense grids of wireless distributed air monitoring nodes, yet their sensor ability to capture the spatiotemporal pollutant variability at the sub-neighborhood scale has never been thoroughly tested. This study reports ambient measurements of gaseous air pollutants by a network of six wireless multi-sensor miniature nodes that have been deployed in three urban sites, about 150 m apart. We demonstrate the network's capability to capture spatiotemporal concentration variations at an exceptional fine resolution but highlight the need for a frequent in-situ calibration to maintain the consistency of some sensors. Accordingly, a procedure for a field calibration is proposed and shown to improve the system's performance. Overall, our results support the compatibility of wireless distributed sensor networks for measuring urban air pollution at a sub-neighborhood spatial resolution, which suits the requirement for highly spatiotemporal resolved measurements at the breathing-height when assessing exposure to urban air pollution. Copyright © 2014 Elsevier B.V. All rights reserved.

  9. Disentangling the Relative Influence of Schools and Neighborhoods on Adolescents’ Risk for Depressive Symptoms

    PubMed Central

    Milliren, Carly E.; Evans, Clare R.; Subramanian, S. V.; Richmond, Tracy K.

    2015-01-01

    Objectives. Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents. Methods. Analyzing data from wave 1 (1994–1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to examine between-level variation and individual-, school-, and neighborhood-level predictors of adolescent depressive symptoms. Also, we compared the results of our cross-classified multilevel models (CCMMs) with those of a multilevel model wherein either school or neighborhood was excluded. Results. In CCMMs, the school-level random effect was significant and more than 3 times the neighborhood-level random effect, even after individual-level characteristics had been taken into account. Individual-level indicators (e.g., race/ethnicity, socioeconomic status) were associated with depressive symptoms, but there was no association with either school- or neighborhood-level fixed effects. The between-level variance in depressive symptoms was driven largely by schools as opposed to neighborhoods. Conclusions. Schools appear to be more salient than neighborhoods in explaining variation in depressive symptoms. Future work incorporating cross-classified multilevel modeling is needed to understand the relative effects of schools and neighborhoods. PMID:25713969

  10. Associations of neighborhood disorganization and maternal spanking with children's aggression: A fixed-effects regression analysis.

    PubMed

    Ma, Julie; Grogan-Kaylor, Andrew; Lee, Shawna J

    2018-02-01

    This study employed fixed effects regression that controls for selection bias, omitted variables bias, and all time-invariant aspects of parent and child characteristics to examine the simultaneous associations between neighborhood disorganization, maternal spanking, and aggressive behavior in early childhood using data from the Fragile Families and Child Wellbeing Study (FFCWS). Analysis was based on 2,472 children and their mothers who participated in Wave 3 (2001-2003; child age 3) and Wave 4 (2003-2006; child age 5) of the FFCWS. Results indicated that higher rates of neighborhood crime and violence predicted higher levels of child aggression. Maternal spanking in the past year, whether frequent or infrequent, was also associated with increases in aggressive behavior. This study contributes statistically rigorous evidence that exposure to violence in the neighborhood as well as the family context are predictors of child aggression. We conclude with a discussion for the need for multilevel prevention and intervention approaches that target both community and parenting factors. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  11. Correlates of adiposity among Latino preschool children.

    PubMed

    Mendoza, Jason A; McLeod, Jessica; Chen, Tzu-An; Nicklas, Theresa A; Baranowski, Tom

    2014-01-01

    Childhood obesity is at record high levels in the US and disproportionately affects Latino children; however, studies examining Latino preschool children's obesity-related risk factors are sparse. This study determined correlates of Latino preschoolers' (ages 3-5 years) adiposity to inform future obesity interventions and policies. Latino preschoolers (n = 96) from 4 Head Start centers in Houston, Texas were recruited. Parents reported acculturation and neighborhood safety. Children's and parents' height and weight were measured. Children's television (TV) viewing was measured by TV diaries and physical activity by accelerometers. Linear regression was used with body mass index (BMI) z-score as the dependent variable and covariates sequentially added and retained in 4 blocks: 1) child age, gender, parent education, and BMI; 2) neighborhood safety and parent and child acculturation; 3) TV viewing; and 4) moderate-to-vigorous physical activity (MVPA). In the final model (n = 96), only neighborhood disorder (β = 0.30, P = .005) and MVPA (β = -0.21, P = .049) were significantly associated with BMI z-score. Among Latino preschoolers, higher neighborhood disorder and lower MVPA were associated with greater children's BMI z-scores.

  12. The role of personal values, urban form, and auto availability in the analysis of walking for transportation.

    PubMed

    Coogan, Matthew A; Karash, Karla H; Adler, Thomas; Sallis, James

    2007-01-01

    To examine the association of personal values, the built environment, and auto availability with walking for transportation. Participants were drawn from 11 U.S. metropolitan areas with good transit services. 865 adults who had recently made or were contemplating making a residential move. Respondents reported if walking was their primary mode for nine trip purposes. "Personal values" reflected ratings of 15 variables assessing attitudes about urban and environmental attributes, with high reliability (ot = 0.85). Neighborhood form was indicated by a three-item scale. Three binary variables were created to reflect (1) personal values, (2) neighborhood form, and (3) auto availability. The association with walking was reported for each of the three variables, each combination of two variables, and the combination of three variables. An analysis of covariance was applied, and a hierarchic linear regression model was developed. All three variables were associated with walking, and all three variables interacted. The standardized coefficients were 0.23for neighborhood form, 0.21 for autos per person, and 0.18 for personal values. Positive attitudes about urban attributes, living in a supportive neighborhood, and low automobile availability significantly predicted more walking for transportation. A framework for further research is proposed in which a factor representing the role of the automobile is examined explicitly in addition to personal values and urban form.

  13. Unemployment and self-rated health: neighborhood influence.

    PubMed

    Giatti, Luana; Barreto, Sandhi M; César, Cibele C

    2010-08-01

    This work contributes to the study of the relationship between health, work and context by investigating the interaction between them in Brazil, a country with great social inequalities. It investigates whether unemployment and socioeconomic characteristics of the neighborhoods in which people live are associated with poor self-rated health after adjustment for individual sociodemographic characteristics, behavioral risk factors and health status. Moreover, it tests whether living in an area of socioeconomic deprivation modifies the association between unemployment and self-rated health. The study involved participants whose ages ranged from 15 up to 64 years, and who lived in four Brazilian cities included in the National Household Survey on Risk Behaviors and Reported Morbidity from Non-Communicable Diseases, carried out by the Ministry of Health in 2002/2003. Data from the 2000 Brazilian Population Census were used to calculate two neighborhood socioeconomic indicators: the proportion of householders with low income, a compositional variable of individual level characteristics, and residing in slums, a contextual variable not captured by individual properties. Logistic regression analysis was estimated by Generalized Estimating Equations. Of the 6426 participants, 20.6% reported poor self-rated health. Unemployment as well as residing in slums or in low income household areas were significantly associated with poor self-rated health. The magnitudes of these associations were attenuated after adjustment for sociodemographic characteristics, behavioral risk factors and other health status indicators. However, the association between unemployment and poor self-rated health was not modified by neighborhood socioeconomic indicators. Results confirm the association between unemployment and poor self-rated health, regardless of the personal or contextual characteristics studied here. Similarly, they show a clear independent association between self-rated health and neighborhood context. Even so, they do not show that the neighborhood contexts investigated modify the associations between unemployment and poor self-rated health. (c) 2010 Elsevier Ltd. All rights reserved.

  14. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity.

    PubMed

    Nguyen, Quynh C; Li, Dapeng; Meng, Hsien-Wen; Kath, Suraj; Nsoesie, Elaine; Li, Feifei; Wen, Ming

    2016-10-17

    Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors. We utilized Twitter's streaming application programming interface to continuously collect a random 1% subset of publicly available geolocated tweets for 1 year (April 2015 to March 2016). We collected 80 million geotagged tweets from 603,363 unique Twitter users across the contiguous United States. We validated our machine learning algorithms for constructing indicators of happiness, food, and physical activity by comparing predicted values to those generated by human labelers. Geotagged tweets were spatially mapped to the 2010 census tract and zip code areas they fall within, which enabled further assessment of the associations between Twitter-derived neighborhood variables and neighborhood demographic, economic, business, and health characteristics. Machine labeled and manually labeled tweets had a high level of accuracy: 78% for happiness, 83% for food, and 85% for physical activity for dichotomized labels with the F scores 0.54, 0.86, and 0.90, respectively. About 20% of tweets were classified as happy. Relatively few terms (less than 25) were necessary to characterize the majority of tweets on food and physical activity. Data from over 70,000 census tracts from the United States suggest that census tract factors like percentage African American and economic disadvantage were associated with lower census tract happiness. Urbanicity was related to higher frequency of fast food tweets. Greater numbers of fast food restaurants predicted higher frequency of fast food mentions. Surprisingly, fitness centers and nature parks were only modestly associated with higher frequency of physical activity tweets. Greater state-level happiness, positivity toward physical activity, and positivity toward healthy foods, assessed via tweets, were associated with lower all-cause mortality and prevalence of chronic conditions such as obesity and diabetes and lower physical inactivity and smoking, controlling for state median income, median age, and percentage white non-Hispanic. Machine learning algorithms can be built with relatively high accuracy to characterize sentiment, food, and physical activity mentions on social media. Such data can be utilized to construct neighborhood indicators consistently and cost effectively. Access to neighborhood data, in turn, can be leveraged to better understand neighborhood effects and address social determinants of health. We found that neighborhoods with social and economic disadvantage, high urbanicity, and more fast food restaurants may exhibit lower happiness and fewer healthy behaviors.

  15. Childhood trauma and neighborhood-level crime interact in predicting adult posttraumatic stress and major depression symptoms.

    PubMed

    Lowe, Sarah R; Quinn, James W; Richards, Catherine A; Pothen, John; Rundle, Andrew; Galea, Sandro; Ressler, Kerry J; Koenen, Karestan C; Bradley, Bekh

    2016-01-01

    Previous research has identified several individual-level factors that modify the risk of childhood trauma on adult psychiatric symptoms, including symptoms of major depression (MD) and posttraumatic stress (PTS). Neighborhood-level factors also influence the impact of individual-level exposures on adult psychopathology. However, no prior studies to our knowledge have explored cross-level interactions between childhood trauma and neighborhood-level factors on MD and PTS symptoms. The purpose of this study was therefore to explore cross-level interactions between a neighborhood-level factor - neighborhood-level crime - and childhood trauma on MD and PTS symptoms. Participants in this study (N=3192) were recruited from a large public hospital, and completed self-report inventories of childhood trauma and MD and PTS symptoms. Participant addresses were mapped onto 2010 census tracts, and data on crime within each tract were collected. Multilevel models found a significant cross-level interaction between childhood trauma and neighborhood crime on MD symptoms, such that the influence of high levels of childhood trauma on MD symptoms was enhanced for participants living in high-crime neighborhoods. Supplementary analyses found variation in the strength of cross-level interaction terms by types of childhood trauma and crime, with the strongest associations including emotional neglect paired with personal and property crime. The results provide preliminary support for interventions that help childhood trauma survivors find housing in less vulnerable neighborhoods and build skills to cope with neighborhood crime. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Childhood Trauma and Neighborhood-Level Crime Interact in Predicting Adult Posttraumatic Stress and Major Depression Symptoms

    PubMed Central

    Lowe, Sarah R.; Quinn, James W.; Richards, Catherine A.; Pothen, John; Rundle, Andrew; Galea, Sandro; Ressler, Kerry J.; Koenen, Karestan C.; Bradley, Bekh

    2015-01-01

    Previous research has identified several individual-level factors that modify the risk of childhood trauma on adult psychiatric symptoms, including symptoms of major depression (MD) and posttraumatic stress (PTS). Neighborhood-level factors also influence the impact of individual-level exposures on adult psychopathology. However, no prior studies to our knowledge have explored cross-level interactions between childhood trauma and neighborhood-level factors on MD and PTS symptoms. The purpose of this study was therefore to explore cross-level interactions between a neighborhood-level factor – neighborhood-level crime – and childhood trauma on MD and PTS symptoms. Participants in this study (N = 3,192) were recruited from a large public hospital, and completed self-report inventories of childhood trauma and MD and PTS symptoms. Participant addresses were mapped onto 2010 census tracts, and data on crime within each tract was collected. Multilevel models found a significant cross-level interaction between childhood trauma and neighborhood crime on MD symptoms, such that the influence of high levels of childhood trauma on MD symptoms was enhanced for participants living in high-crime neighborhoods. Supplementary analyses found variation in the strength of cross-level interaction terms by types of childhood trauma and crime, with the strongest associations including emotional neglect paired with personal and property crime. The results provide preliminary support for interventions that help childhood trauma survivors find housing in less vulnerable neighborhoods and build skills to cope with neighborhood crime. PMID:26499372

  17. Neighborhood socioeconomic context and cognitive decline among older Mexican Americans: results from the Sacramento Area Latino Study on Aging.

    PubMed

    Zeki Al Hazzouri, Adina; Haan, Mary N; Osypuk, Theresa; Abdou, Cleopatra; Hinton, Ladson; Aiello, Allison E

    2011-08-15

    In 1 previous study, it was shown that neighborhood socioeconomic disadvantage is associated with cognitive decline among Latinos. No studies have explored whether and to what extent individual-level socioeconomic factors account for the relation between neighborhood disadvantage and cognitive decline. The purpose of the present study was to assess the influence of neighborhood socioeconomic position (SEP) on cognitive decline and examine how individual-level SEP factors (educational level, annual income, and occupation) influenced neighborhood associations over the course of 10 years. Participants (n = 1,789) were community-dwelling older Mexican Americans from the Sacramento Area Latino Study on Aging. Neighborhood SEP was derived by linking the participant's individual data to the 2000 decennial census. The authors assessed cognitive function with the Modified Mini-Mental State Examination. Analyses used 3-level hierarchical linear mixed models of time within individuals within neighborhoods. After adjustment for individual-level sociodemographic characteristics, higher neighborhood SEP was significantly associated with cognitive function (β = -0.033; P < 0.05) and rates of decline (β = -0.0009; P < 0.10). After adjustment for individual educational level, neighborhood SEP remained associated with baseline cognition but not with rates of decline. Differences in individual educational levels explained most of the intra- and interneighborhood variance. These results suggest that the effect of neighborhood SEP on cognitive decline among Latinos is primarily accounted for by education.

  18. DOES NEIGHBORHOOD ENVIRONMENT DIFFERENTIATE INTIMATE PARTNER FEMICIDES FROM OTHER FEMICIDES?

    PubMed Central

    Beyer, Kirsten M. M.; Layde, Peter M.; Hamberger, L. Kevin; Laud, Purushottam W.

    2015-01-01

    We examined the association between neighborhood-level factors and intimate partner femicide (IPF) using Wisconsin Violent Death Reporting System (WVDRS) data and Wisconsin Coalition Against Domestic Violence (WCADV) reports, in concert with neighborhood-level information. After controlling for individual characteristics, neighborhood-level disadvantage was associated with a decreased likelihood of IPF status, as compared to other femicides, while neighborhood-level residential instability was associated with an increased likelihood of IPF status. Neighborhood plays a role in differentiating IPFs from other femicides in our study area. Our findings demonstrate the importance of multilevel strategies for understanding and reducing the burden of intimate partner violence. PMID:25540251

  19. Multi-objective four-dimensional vehicle motion planning in large dynamic environments.

    PubMed

    Wu, Paul P-Y; Campbell, Duncan; Merz, Torsten

    2011-06-01

    This paper presents Multi-Step A∗ (MSA∗), a search algorithm based on A∗ for multi-objective 4-D vehicle motion planning (three spatial and one time dimensions). The research is principally motivated by the need for offline and online motion planning for autonomous unmanned aerial vehicles (UAVs). For UAVs operating in large dynamic uncertain 4-D environments, the motion plan consists of a sequence of connected linear tracks (or trajectory segments). The track angle and velocity are important parameters that are often restricted by assumptions and a grid geometry in conventional motion planners. Many existing planners also fail to incorporate multiple decision criteria and constraints such as wind, fuel, dynamic obstacles, and the rules of the air. It is shown that MSA∗ finds a cost optimal solution using variable length, angle, and velocity trajectory segments. These segments are approximated with a grid-based cell sequence that provides an inherent tolerance to uncertainty. The computational efficiency is achieved by using variable successor operators to create a multiresolution memory-efficient lattice sampling structure. The simulation studies on the UAV flight planning problem show that MSA∗ meets the time constraints of online replanning and finds paths of equivalent cost but in a quarter of the time (on average) of a vector neighborhood-based A∗.

  20. Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states

    PubMed Central

    Ackerson, Leland K.; Kawachi, Ichiro; Barbeau, Elizabeth M.; Subramanian, S.V.

    2009-01-01

    We investigated the geographic distribution and the relationship with neighborhood wealth of underweight and overweight in India. Using multilevel modeling techniques, we calculated state-specific smoothed shrunken state residuals of overweight and underweight, neighborhood and state variation of nutritional status, and the relationships between neighborhood wealth and nutritional status of 76,681 women living in 3204 neighborhoods in 26 Indian states. We found a substantial variation in overweight and underweight at the neighborhood and state levels, net of what could be attributed to individual-level factors. Neighborhood wealth was associated with increased levels of overweight and decreased levels of underweight, and was found to modify the relationship between personal living standard and nutritional status. These findings suggest that interventions to address the double burden of undernutrition and overnutrition in India must take into account state and neighborhood characteristics in order to be successful. PMID:18602351

  1. The Role of Neighborhood Environment and Risk of Intimate Partner Femicide in a Large Urban Area

    PubMed Central

    Frye, Victoria; Galea, Sandro; Tracy, Melissa; Bucciarelli, Angela; Putnam, Sara; Wilt, Susan

    2008-01-01

    Objectives. We evaluated the contribution of neighborhood-level factors indicative of social disorganization, including educational and occupational attainment, immigrant concentration, physical disorder, and social cohesion, to the likelihood of intimate partner femicide (IPF) while taking into account known neighborhood- and individual-level IPF risk factors. Methods. We used medical examiner data on 1861 femicide victims between 1990 and 1999 and archival information on 59 neighborhoods in New York City to conduct a multilevel case–control analysis. Results. After controlling for neighborhood-level income, we found that no neighborhood factors were significantly associated with IPF risk, as compared with risk of non–IPF and risk of femicide from unknown perpetrators, above and beyond the contributions of individual-level factors. The strongest predictors of IPF were foreign country of birth and young age. Conclusions. IPF victims were nearly twice as likely as non-IPF victims to be foreign born; by contrast, there was little neighborhood-level heterogeneity with respect to IPF risk. Further research is needed to identify neighborhood characteristics that uniquely influence risk of IPF to guide community-level interventions. PMID:18556618

  2. The impact of neighborhood violence and social cohesion on smoking behaviors among a cohort of smokers in Mexico

    PubMed Central

    Fleischer, Nancy L.; Lozano, Paula; Santillán, Edna Arillo; Shigematsu, Luz Myriam Reynales; Thrasher, James F.

    2016-01-01

    Background Recent increases in violent crime may impact a variety of health outcomes in Mexico. We examined relationships between neighborhood-level violence and smoking behaviors in a cohort of Mexican smokers from 2011–2012, and whether neighborhood-level social cohesion modified these relationships. Methods Data were analyzed from adult smokers and recent ex-smokers who participated in Waves 5–6 of the International Tobacco Control Mexico Survey. Self-reported neighborhood violence and social cohesion were asked of Wave 6 survey participants (n=2129 current and former smokers, n=150 neighborhoods). Neighborhood-level averages for violence and social cohesion (range 4–14 and 10–25, respectively) were assigned to individuals. We used generalized estimating equations to determine associations between neighborhood indicators and individual-level smoking intensity, quit behaviors, and relapse. Results Higher neighborhood violence was associated with higher smoking intensity (Risk Ratio (RR)=1.17, 95% Confidence Interval (CI) 1.02–1.33), and fewer quit attempts (RR=0.72, 95% CI 0.61–0.85). Neighborhood violence was not associated with successful quitting or relapse. Higher neighborhood social cohesion was associated with more quit attempts and more successful quitting. Neighborhood social cohesion modified the association between neighborhood violence and smoking intensity: in neighborhoods with higher social cohesion, as violence increased, smoking intensity decreased and in neighborhoods with lower social cohesion, as violence increased, so did smoking intensity. Conclusion In the context of recent increased violence in Mexico, smokers living in neighborhoods with more violence may smoke more cigarettes per day and make fewer quit attempts than their counterparts in less violent neighborhoods. Neighborhood social cohesion may buffer the impact of violence on smoking intensity. PMID:26043898

  3. Selection of area-level variables from administrative data: an intersectional approach to the study of place and child development.

    PubMed

    Kershaw, Paul; Forer, Barry

    2010-05-01

    Given data limitations, neighborhood effects scholarship relies heavily on administrative data to measure area-level constructs. We provide new evidence to guide the selection of indicators from routinely collected sources, focusing on effects on early child development. Informed by an analytic paradigm attuned to the intersection of race, class, and sex, along with population-level data in British Columbia, Canada, our findings signal the need for greater precision when choosing variables in place of the now dominant approaches for measuring constructs like income/wealth, employment, family structure and race/ethnicity. We also provide new evidence about which area-level variables associate with the different domains of child development, as well as how area-level associations vary across urban and rural contexts. Copyright 2009 Elsevier Ltd. All rights reserved.

  4. Health Impacts of the Built Environment: Within-Urban Variability in Physical Inactivity, Air Pollution, and Ischemic Heart Disease Mortality

    PubMed Central

    Hankey, Steve; Brauer, Michael

    2011-01-01

    Background: Physical inactivity and exposure to air pollution are important risk factors for death and disease globally. The built environment may influence exposures to these risk factors in different ways and thus differentially affect the health of urban populations. Objective: We investigated the built environment’s association with air pollution and physical inactivity, and estimated attributable health risks. Methods: We used a regional travel survey to estimate within-urban variability in physical inactivity and home-based air pollution exposure [particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5), nitrogen oxides (NOx), and ozone (O3)] for 30,007 individuals in southern California. We then estimated the resulting risk for ischemic heart disease (IHD) using literature-derived dose–response values. Using a cross-sectional approach, we compared estimated IHD mortality risks among neighborhoods based on “walkability” scores. Results: The proportion of physically active individuals was higher in high- versus low-walkability neighborhoods (24.9% vs. 12.5%); however, only a small proportion of the population was physically active, and between-neighborhood variability in estimated IHD mortality attributable to physical inactivity was modest (7 fewer IHD deaths/100,000/year in high- vs. low-walkability neighborhoods). Between-neighborhood differences in estimated IHD mortality from air pollution were comparable in magnitude (9 more IHD deaths/100,000/year for PM2.5 and 3 fewer IHD deaths for O3 in high- vs. low-walkability neighborhoods), suggesting that population health benefits from increased physical activity in high-walkability neighborhoods may be offset by adverse effects of air pollution exposure. Policy implications: Currently, planning efforts mainly focus on increasing physical activity through neighborhood design. Our results suggest that differences in population health impacts among neighborhoods are similar in magnitude for air pollution and physical activity. Thus, physical activity and exposure to air pollution are critical aspects of planning for cleaner, health-promoting cities. PMID:22004949

  5. Health impacts of the built environment: within-urban variability in physical inactivity, air pollution, and ischemic heart disease mortality.

    PubMed

    Hankey, Steve; Marshall, Julian D; Brauer, Michael

    2012-02-01

    Physical inactivity and exposure to air pollution are important risk factors for death and disease globally. The built environment may influence exposures to these risk factors in different ways and thus differentially affect the health of urban populations. We investigated the built environment's association with air pollution and physical inactivity, and estimated attributable health risks. We used a regional travel survey to estimate within-urban variability in physical inactivity and home-based air pollution exposure [particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5), nitrogen oxides (NOx), and ozone (O3)] for 30,007 individuals in southern California. We then estimated the resulting risk for ischemic heart disease (IHD) using literature-derived dose-response values. Using a cross-sectional approach, we compared estimated IHD mortality risks among neighborhoods based on "walkability" scores. The proportion of physically active individuals was higher in high- versus low-walkability neighborhoods (24.9% vs. 12.5%); however, only a small proportion of the population was physically active, and between-neighborhood variability in estimated IHD mortality attributable to physical inactivity was modest (7 fewer IHD deaths/100,000/year in high- vs. low-walkability neighborhoods). Between-neighborhood differences in estimated IHD mortality from air pollution were comparable in magnitude (9 more IHD deaths/100,000/year for PM2.5 and 3 fewer IHD deaths for O3 in high- vs. low-walkability neighborhoods), suggesting that population health benefits from increased physical activity in high-walkability neighborhoods may be offset by adverse effects of air pollution exposure. Currently, planning efforts mainly focus on increasing physical activity through neighborhood design. Our results suggest that differences in population health impacts among neighborhoods are similar in magnitude for air pollution and physical activity. Thus, physical activity and exposure to air pollution are critical aspects of planning for cleaner, health-promoting cities.

  6. A stochastic model for optimizing composite predictors based on gene expression profiles.

    PubMed

    Ramanathan, Murali

    2003-07-01

    This project was done to develop a mathematical model for optimizing composite predictors based on gene expression profiles from DNA arrays and proteomics. The problem was amenable to a formulation and solution analogous to the portfolio optimization problem in mathematical finance: it requires the optimization of a quadratic function subject to linear constraints. The performance of the approach was compared to that of neighborhood analysis using a data set containing cDNA array-derived gene expression profiles from 14 multiple sclerosis patients receiving intramuscular inteferon-beta1a. The Markowitz portfolio model predicts that the covariance between genes can be exploited to construct an efficient composite. The model predicts that a composite is not needed for maximizing the mean value of a treatment effect: only a single gene is needed, but the usefulness of the effect measure may be compromised by high variability. The model optimized the composite to yield the highest mean for a given level of variability or the least variability for a given mean level. The choices that meet this optimization criteria lie on a curve of composite mean vs. composite variability plot referred to as the "efficient frontier." When a composite is constructed using the model, it outperforms the composite constructed using the neighborhood analysis method. The Markowitz portfolio model may find potential applications in constructing composite biomarkers and in the pharmacogenomic modeling of treatment effects derived from gene expression endpoints.

  7. Gentrification and binge drinking in California neighborhoods: It matters how long you've lived there.

    PubMed

    Izenberg, Jacob M; Mujahid, Mahasin S; Yen, Irene H

    2018-07-01

    Neighborhood context plays a role in binge drinking, a behavior with major health and economic costs. Gentrification, the influx of capital and residents of higher socioeconomic status into historically-disinvested neighborhoods, is a growing trend with the potential to place urban communities under social and financial pressure. Hypothesizing that these pressures and other community changes resulting from gentrification could be tied to excessive alcohol consumption, we examined the relationship between gentrification and binge drinking in California neighborhoods. California census tracts were categorized as non-gentrifiable, stable (gentrifiable), or gentrifying from 2006 to 2015. Outcomes and covariates were obtained from the California Health Interview Survey using combined 2013-2015 data (n = 60,196). Survey-weighted logistic regression tested for associations between gentrification and any binge drinking in the prior 12 months. Additional models tested interactions between gentrification and other variables of interest, including housing tenure, federal poverty level, race/ethnicity, sex, and duration of neighborhood residence. A third of respondents reported past-year binge drinking. Controlling for demographic covariates, gentrification was not associated with binge drinking in the population overall (AOR = 1.13, 95% CI = 0.95-1.34), but was associated with binge drinking among those living in the neighborhood <5 years (AOR = 1.49, 95% CI 1.15-1.93). No association was seen among those living in their neighborhood ≥5 years. For those newer to their neighborhood, gentrification is associated with binge drinking. Further understanding the relationship between gentrification and high-risk alcohol use is important for policy and public health interventions mitigating the impact of this process. Copyright © 2018 Elsevier B.V. All rights reserved.

  8. Characteristics of the Built Environment and the Presence of the Norway Rat in New York City: Results From a Neighborhood Rat Surveillance Program, 2008-2010.

    PubMed

    Johnson, Sarah; Bragdon, Caroline; Olson, Carolyn; Merlino, Mario; Bonaparte, Sancia

    2016-06-01

    Characteristics of an urban setting such as New York City (NYC), including readily available putrescible waste and ample underground infrastructure, make it highly attractive to the Norway rat (Rattus norvegicus). To identify property and neighborhood characteristics associated with rat presence, recent inspectional results were analyzed from over 77,000 properties in the Bronx and Manhattan. Variables capturing the location and density of factors believed to promote rat populations were tested individually and in combination in models predicting rat activity. We found that property-specific characteristics typically associated with high garbage volume, including large numbers of residential units, public ownership, and open-space designation (parks, outdoor recreation, or vacant land) were the most important factors in explaining increased rat presence across neighborhoods in NYC. Interventions that involved improved garbage management and street sanitation within a designated area reduced the likelihood of finding rats, especially in medium- and high-poverty neighborhoods. Neighborhood characteristics, such as being near a railroad or subway line, having a school nearby, the presence of numerous restaurants, or having older infrastructure, also contributed to the increased likelihood of rats. Our results support the use of built environment data to target community-level interventions and capture emerging rat infestations.

  9. Do motivation-related cognitions explain the relationship between perceptions of urban form and neighborhood walking?

    PubMed

    McCormack, Gavin R; Friedenreich, Christine M; Giles-Corti, Billie; Doyle-Baker, Patricia K; Shiell, Alan

    2013-09-01

    The built and social environments may contribute to physical activity motivations and behavior. We examined the extent to which the Theory of Planned Behavior (TPB) mediated the association between neighborhood walkability and walking. Two random cross-sectional samples (n = 4422 adults) completed telephone interviews capturing walking-related TPB variables (perceived behavioral control (PBC), attitudes, subjective norm, intention). Of those, 2006 completed a self-administered questionnaire capturing walkability, social support (friends, family, dog ownership), and neighborhood-based transportation (NTW) and recreational walking (NRW). The likelihood of undertaking 1) any vs. none and 2) sufficient vs. insufficient levels (≥150 vs. <150 minutes/week) of NTW and NWR, in relation to walkability, social support, and TPB was estimated. Any and sufficient NTW were associated with access to services, connectivity, residential density, not owning a dog (any NTW only), and friend and family support. Any and sufficient NRW were associated with neighborhood aesthetics (any NRW only), dog ownership, and friend and family support. PBC partially mediated the association between access to services and NTW (any and sufficient), while experiential attitudes partially mediated the association between neighborhood aesthetics and any NRW. Interventions that increase positive perceptions of the built environment may motivate adults to undertake more walking.

  10. Investigating the relationship between neighborhood poverty and mortality risk: A marginal structural modeling approach

    PubMed Central

    Do, D. Phuong; Wang, Lu; Elliott, Michael R.

    2013-01-01

    Extant observational studies generally support the existence of a link between neighborhood context and health. However, estimating the causal impact of neighborhood effects from observational data has proven to be a challenge. Omission of relevant factors may lead to overestimating the effects of neighborhoods on health while inclusion of time-varying confounders that may also be mediators (e.g., income, labor force status) may lead to underestimation. Using longitudinal data from the 1990 to 2007 years of the Panel Study of Income Dynamics, this study investigates the link between neighborhood poverty and overall mortality risk. A marginal structural modeling strategy is employed to appropriately adjust for simultaneous mediating and confounding factors. To address the issue of possible upward bias from the omission of key variables, sensitivity analysis to assess the robustness of results against unobserved confounding is conducted. We examine two continuous measures of neighborhood poverty – single-point and a running average. Both were specified as piece-wise linear splines with a knot at 20 percent. We found no evidence from the traditional naïve strategy that neighborhood context influences mortality risk. In contrast, for both the single-point and running average neighborhood poverty specifications, the marginal structural model estimates indicated a statistically significant increase in mortality risk with increasing neighborhood poverty above the 20 percent threshold. For example, below 20 percent neighborhood poverty, no association was found. However, after the 20 percent poverty threshold is reached, each 10 percentage point increase in running average neighborhood poverty was found to increase the odds for mortality by 89 percent [95% CI = 1.22, 2.91]. Sensitivity analysis indicated that estimates were moderately robust to omitted variable bias. PMID:23849239

  11. Neighborhood and Family Intersections: Prospective Implications for Mexican American Adolescents’ Mental Health

    PubMed Central

    White, Rebecca M. B.; Roosa, Mark W.; Zeiders, Katharine H.

    2012-01-01

    We present an integrated model for understanding Mexican American youth mental health within family, neighborhood, and cultural contexts. We combined two common perspectives on neighborhood effects to hypothesize that (a) parents’ perceptions of neighborhood risk would negatively impact their children’s mental health by disrupting key parenting and family processes, and (b) objective neighborhood risk would alter the effect parent and family processes had on youth mental health. We further incorporated a cultural perspective to hypothesize that an ethnic minority group’s culture-specific values may support parents to successfully confront neighborhood risk. We provided a conservative test of the integrated model by simultaneously examining three parenting and family process variables: maternal warmth, maternal harsh parenting, and family cohesion. The hypothesized model was estimated prospectively in a diverse, community-based sample of Mexican American adolescents and their mothers (N = 749) living in the Southwestern, U.S. Support for specific elements of the hypothesized model varied depending on the parenting or family process variable examined. For family cohesion results were consistent with the combined neighborhood perspectives. The effects of maternal warmth on youth mental health were altered by objective neighborhood risk. For harsh parenting results were somewhat consistent with the cultural perspective. The value of the integrated model for research on the impacts of family, neighborhood, and cultural contexts on youth mental health are discussed, as are implications for preventive interventions for Mexican American families and youth. PMID:22866932

  12. Neighborhood and family intersections: prospective implications for Mexican American adolescents' mental health.

    PubMed

    White, Rebecca M B; Roosa, Mark W; Zeiders, Katharine H

    2012-10-01

    We present an integrated model for understanding Mexican American youth mental health within family, neighborhood, and cultural contexts. We combined two common perspectives on neighborhood effects to hypothesize that (a) parents' perceptions of neighborhood risk would negatively impact their children's mental health by disrupting key parenting and family processes, and (b) objective neighborhood risk would alter the effect parent and family processes had on youth mental health. We further incorporated a cultural perspective to hypothesize that an ethnic minority group's culture-specific values may support parents to successfully confront neighborhood risk. We provided a conservative test of the integrated model by simultaneously examining three parenting and family process variables: maternal warmth, maternal harsh parenting, and family cohesion. The hypothesized model was estimated prospectively in a diverse, community-based sample of Mexican American adolescents and their mothers (N = 749) living in the southwestern United States. Support for specific elements of the hypothesized model varied depending on the parenting or family process variable examined. For family cohesion results were consistent with the combined neighborhood perspectives. The effects of maternal warmth on youth mental health were altered by objective neighborhood risk. For harsh parenting, results were somewhat consistent with the cultural perspective. The value of the integrated model for research on the impacts of family, neighborhood, and cultural contexts on youth mental health are discussed, as are implications for preventive interventions for Mexican American families and youth. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

  13. Sequential Neighborhood Effects: The Effect of Long-Term Exposure to Concentrated Disadvantage on Children's Reading and Math Test Scores.

    PubMed

    Hicks, Andrew L; Handcock, Mark S; Sastry, Narayan; Pebley, Anne R

    2018-02-01

    Prior research has suggested that children living in a disadvantaged neighborhood have lower achievement test scores, but these studies typically have not estimated causal effects that account for neighborhood choice. Recent studies used propensity score methods to account for the endogeneity of neighborhood exposures, comparing disadvantaged and nondisadvantaged neighborhoods. We develop an alternative propensity function approach in which cumulative neighborhood effects are modeled as a continuous treatment variable. This approach offers several advantages. We use our approach to examine the cumulative effects of neighborhood disadvantage on reading and math test scores in Los Angeles. Our substantive results indicate that recency of exposure to disadvantaged neighborhoods may be more important than average exposure for children's test scores. We conclude that studies of child development should consider both average cumulative neighborhood exposure and the timing of this exposure.

  14. Sequential Neighborhood Effects: The Effect of Long-Term Exposure to Concentrated Disadvantage on Children's Reading and Math Test Scores

    PubMed Central

    Hicks, Andrew L.; Handcock, Mark S.; Sastry, Narayan

    2018-01-01

    Prior research has suggested that children living in a disadvantaged neighborhood have lower achievement test scores, but these studies typically have not estimated causal effects that account for neighborhood choice. Recent studies used propensity score methods to account for the endogeneity of neighborhood exposures, comparing disadvantaged and nondisadvantaged neighborhoods. We develop an alternative propensity function approach in which cumulative neighborhood effects are modeled as a continuous treatment variable. This approach offers several advantages. We use our approach to examine the cumulative effects of neighborhood disadvantage on reading and math test scores in Los Angeles. Our substantive results indicate that recency of exposure to disadvantaged neighborhoods may be more important than average exposure for children's test scores. We conclude that studies of child development should consider both average cumulative neighborhood exposure and the timing of this exposure. PMID:29192386

  15. Who Moves to Mixed-Income Neighborhoods?*

    PubMed Central

    McKinnish, Terra; White, T. Kirk

    2011-01-01

    This paper uses confidential Census data, specifically the 1990 and 2000 Census Long Form data, to study the income dispersion of recent cohorts of migrants to mixed-income neighborhoods. We investigate whether neighborhoods with high levels of income dispersion attract economically diverse in-migrants. If recent in-migrants to mixed-income neighborhoods exhibit high levels of income dispersion, this is consistent with stable mixed-income neighborhoods. If, however, mixed-income neighborhoods are comprised of homogenous low-income (high-income) cohorts of long-term residents combined with homogenous high-income (low-income) cohorts of recent arrivals, this is consistent with neighborhood transition. Our results indicate that neighborhoods with high levels of income dispersion do in fact attract a much more heterogeneous set of in-migrants, particularly from the tails of the income distribution. Our results also suggest that the residents of mixed-income neighborhoods may be less heterogeneous with respect to lifetime income. PMID:21479114

  16. Neighborhood residential segregation and mental health: a multilevel analysis on Hispanic Americans in Chicago.

    PubMed

    Lee, Min-Ah

    2009-06-01

    Compared with the relationship between neighborhood-level residential segregation and physical health of Hispanic Americans, less is known about how neighborhood residential segregation affects mental health. This study examines if, and how, neighborhood residential segregation is associated with the mental health of Puerto Rican and Mexican Americans in Chicago. Multilevel analyses reveal that neighborhood residential segregation is positively associated with depressive symptoms and anxiety in both groups. Neighborhood segregation, however, has more salient effects on the mental health of Mexican Americans. For Puerto Rican Americans, the effects of neighborhood segregation on mental health become nonsignificant after controlling for neighborhood-level income and individual-level covariates, whereas neighborhood segregation is strongly associated with the mental health of Mexican Americans even after controlling for other covariates. These findings show that living in a Mexican American-dominated community is not beneficial to mental health, in contrast to findings for physical health shown in previous studies.

  17. Neighborhood Racial/Ethnic Concentration, Social Disadvantage, and Homicide Risk: An Ecological Analysis of 10 U.S. Cities

    PubMed Central

    Wall, Melanie

    2008-01-01

    Homicide is one of the leading causes of death among African-American and Hispanic men. We investigated how neighborhood characteristics associated with social disadvantage explain racial/ethnic homicide gaps in 10 U.S. cities. The test hypotheses were that (1) higher concentrations of African-Americans and Hispanics would be associated with higher homicide rates and (2) the relationship between racial/ethnic concentration and homicide would be attenuated after adjusting for neighborhood characteristics (e.g., unemployment, median household income, low educational attainment, and female headship). The test hypotheses were examined using separate Poisson regression models, which adjusted for spatial autocorrelation. Homicide rates were greater in neighborhoods with higher concentrations of African-Americans and Hispanics than in other groups, and the association of neighborhood racial/ethnic concentration with homicide was reduced after adjusting for neighborhood social disadvantage variables, especially percent female head of household and percent persons with less than a high school education. We also found that the relationship between neighborhood racial/ethnic concentration and homicide was explained more by social disadvantage variables in some cities than in others. Based on our findings, policy makers may wish to consider implementation of policies that (1) expand early childhood education programs and higher education opportunities and (2) encourage economic and community development initiatives in socially disadvantaged neighborhoods. PMID:18661242

  18. Friendship networks of inner-city adults: a latent class analysis and multi-level regression of supporter types and the association of supporter latent class membership with supporter and recipient drug use.

    PubMed

    Bohnert, Amy S B; German, Danielle; Knowlton, Amy R; Latkin, Carl A

    2010-03-01

    Social support is a multi-dimensional construct that is important to drug use cessation. The present study identified types of supportive friends among the social network members in a community-based sample and examined the relationship of supporter-type classes with supporter, recipient, and supporter-recipient relationship characteristics. We hypothesized that the most supportive network members and their support recipients would be less likely to be current heroin/cocaine users. Participants (n=1453) were recruited from low-income neighborhoods with a high prevalence of drug use. Participants identified their friends via a network inventory, and all nominated friends were included in a latent class analysis and grouped based on their probability of providing seven types of support. These latent classes were included as the dependent variable in a multi-level regression of supporter drug use, recipient drug use, and other characteristics. The best-fitting latent class model identified five support patterns: friends who provided Little/No Support, Low/Moderate Support, High Support, Socialization Support, and Financial Support. In bivariate models, friends in the High, Low/Moderate, and Financial Support were less likely to use heroin or cocaine and had less conflict with and were more trusted by the support recipient than friends in the Low/No Support class. Individuals with supporters in those same support classes compared to the Low/No Support class were less likely to use heroin or cocaine, or to be homeless or female. Multivariable models suggested similar trends. Those with current heroin/cocaine use were less likely to provide or receive comprehensive support from friends. Published by Elsevier Ireland Ltd.

  19. Multi-level analysis in information systems research: the case of enterprise resource planning system usage in China

    NASA Astrophysics Data System (ADS)

    Sun, Yuan; Bhattacherjee, Anol

    2011-11-01

    Information technology (IT) usage within organisations is a multi-level phenomenon that is influenced by individual-level and organisational-level variables. Yet, current theories, such as the unified theory of acceptance and use of technology, describe IT usage as solely an individual-level phenomenon. This article postulates a model of organisational IT usage that integrates salient organisational-level variables such as user training, top management support and technical support within an individual-level model to postulate a multi-level model of IT usage. The multi-level model was then empirically validated using multi-level data collected from 128 end users and 26 managers in 26 firms in China regarding their use of enterprise resource planning systems and analysed using the multi-level structural equation modelling (MSEM) technique. We demonstrate the utility of MSEM analysis of multi-level data relative to the more common structural equation modelling analysis of single-level data and show how single-level data can be aggregated to approximate multi-level analysis when multi-level data collection is not possible. We hope that this article will motivate future scholars to employ multi-level data and multi-level analysis for understanding organisational phenomena that are truly multi-level in nature.

  20. Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-Scale Detection and Multi-Frame Association.

    PubMed

    Jaiswal, Astha; Godinez, William J; Eils, Roland; Lehmann, Maik Jorg; Rohr, Karl

    2015-11-01

    Automatic fluorescent particle tracking is an essential task to study the dynamics of a large number of biological structures at a sub-cellular level. We have developed a probabilistic particle tracking approach based on multi-scale detection and two-step multi-frame association. The multi-scale detection scheme allows coping with particles in close proximity. For finding associations, we have developed a two-step multi-frame algorithm, which is based on a temporally semiglobal formulation as well as spatially local and global optimization. In the first step, reliable associations are determined for each particle individually in local neighborhoods. In the second step, the global spatial information over multiple frames is exploited jointly to determine optimal associations. The multi-scale detection scheme and the multi-frame association finding algorithm have been combined with a probabilistic tracking approach based on the Kalman filter. We have successfully applied our probabilistic tracking approach to synthetic as well as real microscopy image sequences of virus particles and quantified the performance. We found that the proposed approach outperforms previous approaches.

  1. Unequal Exposure or Unequal Vulnerability? Contributions of Neighborhood Conditions and Cardiovascular Risk Factors to Socioeconomic Inequality in Incident Cardiovascular Disease in the Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Hussein, Mustafa; Diez Roux, Ana V; Mujahid, Mahasin S; Hastert, Theresa A; Kershaw, Kiarri N; Bertoni, Alain G; Baylin, Ana

    2017-11-23

    Risk factors can drive socioeconomic inequalities in cardiovascular disease (CVD) through differential exposure and differential vulnerability. We show how econometric decomposition directly enables simultaneous, policy-oriented assessment of these two mechanisms. We specifically estimated contributions via these mechanisms of neighborhood environment and proximal risk factors to socioeconomic inequality in CVD incidence. We followed 5,608 participants in the Multi-Ethnic Study of Atherosclerosis (2000-2012) until the first CVD event (median follow-up 12.2 years). We used a summary measure of baseline socioeconomic position (SEP). Covariates included baseline demographics, neighborhood, psychosocial, behavioral, and biomedical risk factors. Using Poisson models, we decomposed the difference (inequality) in incidence rates between low- and high-SEP groups into contributions of 1) differences in covariate means (differential exposure), and 2) differences in CVD risk associated with covariates (differential vulnerability). Notwithstanding large uncertainty in neighborhood estimates, our analysis suggests that differential exposure to poorer neighborhood socioeconomic conditions, adverse social environment, diabetes, and hypertension accounts for most of inequality. Psychosocial and behavioral contributions were negligible. Further, neighborhood SEP, female gender, and White race were more strongly associated with CVD among low-SEP (vs. high-SEP) participants. These differentials in vulnerability also accounted for nontrivial portions of the inequality, and could have important implications for intervention. © The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  2. Neighborhood influences on the association between maternal age and birthweight: a multilevel investigation of age-related disparities in health.

    PubMed

    Cerdá, Magdalena; Buka, Stephen L; Rich-Edwards, Janet W

    2008-05-01

    It was hypothesized that the relationship between maternal age and infant birthweight varies significantly across neighborhoods and that such variation can be predicted by neighborhood characteristics. We analyzed 229,613 singleton births of mothers aged 20-45 years from Chicago, USA in 1997-2002. Random coefficient models were used to estimate the between-neighborhood variation in age-birthweight slopes, and both intercepts- and-slopes-as-outcomes models were used to evaluate area-level predictors of such variation. The crude maternal age-birthweight slopes for neighborhoods ranged from a decrease of 17 g to an increase of 10 g per year of maternal age. Adjustment for individual-level covariates reduced but did not eliminate this between-neighborhood variation. Concentrated poverty was a significant neighborhood-level predictor of the age-birthweight slope, explaining 44.4% of the between-neighborhood variation in slopes. Neighborhoods of higher economic disadvantage showed a more negative age-birthweight slope. The findings support the hypothesis that the relationship between maternal age and birthweight varies between neighborhoods. Indicators of neighborhood disadvantage help to explain such differences.

  3. Examining the individual and perceived neighborhood associations of leisure-time physical activity in persons with spinal cord injury.

    PubMed

    Arbour-Nicitopoulos, Kelly P; Martin Ginis, Kathleen A; Wilson, Philip M

    2010-05-01

    Theory of Planned Behavior (TPB) constructs have been shown to be useful for explaining leisure-time physical activity (LTPA) in persons with spinal cord injury (SCI). However, other factors not captured by the TPB may also be important predictors of LTPA for this population. The purpose of this study is to examine the role of neighborhood perceptions within the context of the TPB for understanding LTPA in persons living with SCI. This is a cross-sectional analysis (n = 574) using structural equation modeling involving measures of the TPB constructs, perceived neighborhood esthetics and sidewalks, and LTPA. TPB constructs explained 57% of the variance in intentions and 12% of the variance in behavior. Inclusion of the neighborhood variables to the model resulted in an additional 1% of the variance explained in intentions, with esthetics exhibiting significant positive relationships with the TPB variables. Integrating perceived neighborhood esthetics into the TPB framework provides additional understanding of LTPA intentions in persons living with SCI.

  4. The Center for Family Life and the Sunset Park Community.

    ERIC Educational Resources Information Center

    Sheffer, Ethel

    The Center of Family Life (CFL) is a private nonprofit agency. Since its creation in 1978 CFL has offered a wide range of services to children and families in Sunset Park, a low-income multi-echnic Brooklyn, New York neighborhood. All families with children under age 18 and pregnant women living in the neighborhood are eligible for services free…

  5. Moderating effects of age, gender and education on the associations of perceived neighborhood environment attributes with accelerometer-based physical activity: The IPEN adult study.

    PubMed

    Van Dyck, Delfien; Cerin, Ester; De Bourdeaudhuij, Ilse; Salvo, Deborah; Christiansen, Lars B; Macfarlane, Duncan; Owen, Neville; Mitas, Josef; Troelsen, Jens; Aguinaga-Ontoso, Ines; Davey, Rachel; Reis, Rodrigo; Sarmiento, Olga L; Schofield, Grant; Conway, Terry L; Sallis, James F

    2015-11-01

    The study's purpose was to examine age, gender, and education as potential moderators of the associations of perceived neighborhood environment variables with accelerometer-based moderate-to-vigorous physical activity (MVPA). Data were from 7273 adults from 16 sites (11 countries) that were part of a coordinated multi-country cross-sectional study. Age moderated the associations of perceived crime safety, and perceiving no major physical barriers to walking, with MVPA: positive associations were only found in older adults. Perceived land use mix-access was linearly (positive) associated with MVPA in men, and curvilinearly in women. Perceived crime safety was related to MVPA only in women. No moderating relationships were found for education. Overall the associations of adults' perceptions of environmental attributes with MVPA were largely independent of the socio-demographic factors examined. These findings are encouraging, suggesting that efforts to optimize the perceived built and social environment may act in a socially-equitable manner to facilitate MVPA. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Mapping the Racial Inequality in Place: Using Youth Perceptions to Identify Unequal Exposure to Neighborhood Environmental Hazards.

    PubMed

    Teixeira, Samantha; Zuberi, Anita

    2016-08-25

    Black youth are more likely than white youth to grow up in poor, segregated neighborhoods. This racial inequality in the neighborhood environments of black youth increases their contact with hazardous neighborhood environmental features including violence and toxic exposures that contribute to racial inequality in youth health and well-being. While the concept of neighborhood effects has been studied at length by social scientists, this work has not been as frequently situated within an environmental justice (EJ) paradigm. The present study used youth perceptions gained from in-depth interviews with youth from one Pittsburgh, Pennsylvania neighborhood to identify neighborhood environmental health hazards. We then mapped these youth-identified features to examine how they are spatially and racially distributed across the city. Our results suggest that the intersection of race and poverty, neighborhood disorder, housing abandonment, and crime were salient issues for youth. The maps show support for the youths' assertions that the environments of black and white individuals across the city of Pittsburgh differ in noteworthy ways. This multi-lens, mixed-method analysis was designed to challenge some of the assumptions we make about addressing environmental inequality using youths' own opinions on the issue to drive our inquiry.

  7. Beyond supermarkets: Food outlet location selection in four U.S. cities over time

    PubMed Central

    Rummo, Pasquale E.; Guilkey, David K.; Ng, Shu Wen; Popkin, Barry M.; Evenson, Kelly R.; Gordon-Larsen, P.

    2017-01-01

    Introduction Understanding what influences where food outlets locate is important for mitigating disparities in access to healthy food outlets. However, few studies have examined how neighborhood characteristics influence the neighborhood food environment over time, and whether these relationships differ by neighborhood-level income. Methods Neighborhood-level data from four U.S. cities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA) from 1986, 1993, 1996, 2001, 2006, and 2011 were used with two-step econometric models to estimate longitudinal associations between neighborhood-level characteristics (z-scores) and the log-transformed count/km2 (density) of food outlets within real-estate-derived neighborhoods. We examined associations with lagged neighborhood-level sociodemographics and lagged density of food outlets, with interaction terms for neighborhood-level income. Data were analyzed in 2016. Results Neighborhood-level income at earlier years was negatively associated with the current density of convenience stores (β= −0.27; 95% CI: −0.16, −0.38; p<0.001). The percentage of neighborhood white population was negatively associated with fast food restaurant density in low income neighborhoods (10th percentile of income: β= −0.17; 95% CI: −0.34, −0.002; p=0.05), and the density of smaller grocery stores across all income levels (β= −0.27; 95% CI: −0.45, −0.09; p=0.003). There was a lack of policy-relevant associations between the pre-existing food environment and the current density of food outlet types, including supermarkets. Conclusions Socioeconomically-disadvantaged populations and minority populations may attract ‘unhealthy’ food outlets over time. To support equal access to healthy food outlets, the availability of ‘less healthy’ food outlets types may be relatively more important than the potential lack of supermarkets or full-service restaurants. PMID:27865651

  8. Beyond Supermarkets: Food Outlet Location Selection in Four U.S. Cities Over Time.

    PubMed

    Rummo, Pasquale E; Guilkey, David K; Ng, Shu Wen; Popkin, Barry M; Evenson, Kelly R; Gordon-Larsen, Penny

    2017-03-01

    Understanding what influences where food outlets locate is important for mitigating disparities in access to healthy food outlets. However, few studies have examined how neighborhood characteristics influence the neighborhood food environment over time, and whether these relationships differ by neighborhood-level income. Neighborhood-level data from four U.S. cities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA) from 1986, 1993, 1996, 2001, 2006, and 2011 were used with two-step econometric models to estimate longitudinal associations between neighborhood-level characteristics (z-scores) and the log-transformed count/km 2 (density) of food outlets within real estate-derived neighborhoods. Associations were examined with lagged neighborhood-level sociodemographics and lagged density of food outlets, with interaction terms for neighborhood-level income. Data were analyzed in 2016. Neighborhood-level income at earlier years was negatively associated with the current density of convenience stores (β= -0.27, 95% CI= -0.16, -0.38, p<0.001). The percentage of neighborhood white population was negatively associated with fast food restaurant density in low-income neighborhoods (10th percentile of income: β= -0.17, 95% CI= -0.34, -0.002, p=0.05), and the density of smaller grocery stores across all income levels (β= -0.27, 95% CI= -0.45, -0.09, p=0.003). There was a lack of policy-relevant associations between the pre-existing food environment and the current density of food outlet types, including supermarkets. Socioeconomically disadvantaged and minority populations may attract "unhealthy" food outlets over time. To support equal access to healthy food outlets, the availability of "less healthy" food outlets types may be relatively more important than the potential lack of supermarkets or full-service restaurants. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  9. The relationship between physical activity and the living environment: a multi-level analyses focusing on changes over time in environmental factors.

    PubMed

    Jongeneel-Grimen, Birthe; Droomers, Mariël; van Oers, Hans A M; Stronks, Karien; Kunst, Anton E

    2014-03-01

    There is limited evidence on the causality of previously observed associations between neighborhood characteristics and physical activity (PA). We aimed to assess whether individual-level PA was associated with changes in fear of crime, social cohesion, green spaces, parking facilities, social disorder, and physical disorder that occurred over the past 3 years. In general, in neighborhoods where residents had more favorable perceptions of the environment in 2006, residents were more likely to be physically active in 2009. In addition, improvements between 2006 and 2009 with respect to perceived social cohesion, green spaces, social disorder, and physical disorder were associated with increased odds of being active in 2009. For both the levels in 2006 and trends in the period 2006-2009, the associations were somewhat stronger among women than among men, but associations did not vary by age or length of residence. For several environmental factors, we observed that not only the levels at a certain point in time, but also recent improvements over time were related to PA. These results provide new support for a causal relationship between these environmental factors and PA. Copyright © 2013 Elsevier Ltd. All rights reserved.

  10. Diffusion MRI noise mapping using random matrix theory

    PubMed Central

    Veraart, Jelle; Fieremans, Els; Novikov, Dmitry S.

    2016-01-01

    Purpose To estimate the spatially varying noise map using a redundant magnitude MR series. Methods We exploit redundancy in non-Gaussian multi-directional diffusion MRI data by identifying its noise-only principal components, based on the theory of noisy covariance matrices. The bulk of PCA eigenvalues, arising due to noise, is described by the universal Marchenko-Pastur distribution, parameterized by the noise level. This allows us to estimate noise level in a local neighborhood based on the singular value decomposition of a matrix combining neighborhood voxels and diffusion directions. Results We present a model-independent local noise mapping method capable of estimating noise level down to about 1% error. In contrast to current state-of-the art techniques, the resultant noise maps do not show artifactual anatomical features that often reflect physiological noise, the presence of sharp edges, or a lack of adequate a priori knowledge of the expected form of MR signal. Conclusions Simulations and experiments show that typical diffusion MRI data exhibit sufficient redundancy that enables accurate, precise, and robust estimation of the local noise level by interpreting the PCA eigenspectrum in terms of the Marchenko-Pastur distribution. PMID:26599599

  11. Neighborhood deprivation and maternal psychological distress during pregnancy: a multilevel analysis.

    PubMed

    Yang, Seungmi; Kestens, Yan; Dahhou, Mourad; Daniel, Mark; Kramer, Michael S

    2015-05-01

    Maternal psychosocial distress is conceptualized as an important factor underlying the association between neighborhood deprivation and pregnancy outcomes. However, empirical studies to examine effects of neighborhood deprivation on psychosocial distress during pregnancy are scant. Based on a large multicenter cohort of pregnant women in Montreal, we examined (1) the extent to which psychosocial distress is clustered at the neighborhood-level, (2) the extent to which the clustering is explained by neighborhood material or social deprivation, and (3) whether associations between neighborhood deprivation and psychosocial distress persist after accounting for neighborhood composition (individual-level characteristics) using multilevel analyses. For 5,218 women residing in 740 neighborhoods, a prenatal interview at 24-26 gestational weeks measured both general and pregnancy-related psychological distress using well-validated scales: perceived stress, social support, depressive symptoms, optimism, commitment to the pregnancy, pregnancy-related anxiety, and maternal locus-of-control. Neighborhood deprivation indices were linked to study participants by their residential postal code. Neighborhood-level clustering (intraclass correlation) ranged from 1 to 2 % for perceived stress (lowest), optimism, pregnancy-related anxiety, and commitment to pregnancy to 4-6 % for perceived social support, depressive symptoms, and maternal locus of control (highest). Neighborhood material deprivation explained far more of the clustering (23-75 %) than did social deprivation (no more than 4 %). Although both material and social deprivation were associated with psychological distress in unadjusted analyses, the associations disappeared after accounting for individual-level socioeconomic characteristics. Our results highlight the importance of accounting for individual-level socioeconomic characteristics in studies of potential neighborhood effects on maternal mental health.

  12. Neighborhood environment correlates of physical activity and sedentary behavior among Latino adults in Massachusetts.

    PubMed

    Silfee, Valerie J; Rosal, Milagros C; Sreedhara, Meera; Lora, Vilma; Lemon, Stephenie C

    2016-09-13

    U.S. Latinos experience high rates of cardio-metabolic diseases and have high rates of physical inactivity and sedentary behavior. Understanding the environmental factors associated with physical activity and sedentary behaviors among Latinos could inform future interventions. The purpose of this study is to explore the neighborhood environment correlates of physical activity and sedentary behavior in a sample of U.S. Latino adults. Cross-sectional study of 602 Latino adults in Lawrence, MA. Survey assessments of physical activity, sedentary behavior, and neighborhood environment were verbally administered. The neighborhood environment scale assessed violence, safety, aesthetic quality, walkability, availability of healthy foods, social cohesion, and activities with neighbors. After controlling forage, gender, education, body mass index (BMI), and smoking status, two variables were associated with the outcomes of interest. Living in more walkable neighborhoods was associated with an increased likelihood of engaging in adequate levels of physical activity (>150 min per week, as recommended by the American College of Sports Medicine (ACSM)) (OR = 1.403, p = .018); and greater frequency of activities with neighbors was associated with greater sedentary behavior (β = .072, p = .05). There were different neighborhood environment correlates of physical activity and sedentary behavior in this Latino community. Focusing on a greater understanding of the distinct social and physical environmental correlates of physical activity and sedentary behavior may provide important insights for reducing CVD risk and health disparities among Latinos.

  13. Understanding Local Spatial Variation Along the Care Continuum: The Potential Impact of Transportation Vulnerability on HIV Linkage to Care and Viral Suppression in High-Poverty Areas, Atlanta, Georgia.

    PubMed

    Goswami, Neela D; Schmitz, Michelle M; Sanchez, Travis; Dasgupta, Sharoda; Sullivan, Patrick; Cooper, Hannah; Rane, Deepali; Kelly, Jane; Del Rio, Carlos; Waller, Lance A

    2016-05-01

    Engagement in care is central to reducing mortality for HIV-infected persons and achieving the White House National AIDS Strategy of 80% viral suppression in the US by 2020. Where an HIV-infected person lives impacts his or her ability to achieve viral suppression. Reliable transportation access for healthcare may be a key determinant of this place-suppression relationship. ZIP code tabulation areas (ZCTAs) were the units of analysis. We used geospatial and ecologic analyses to examine spatial distributions of neighborhood-level variables (eg, transportation accessibility) and associations with: (1) community linkage to care, and (2) community viral suppression. Among Atlanta ZCTAs with data for newly diagnosed HIV cases (2006-2010), we used Moran I to evaluate spatial clustering and linear regression models to evaluate associations between neighborhood variables and outcomes. In 100 ZCTAs with 8413 newly diagnosed HIV-positive residents, a median of 60 HIV cases were diagnosed per ZCTA during the 5-year period. We found significant clustering of ZCTAs with low linkage to care and viral suppression (Moran I = 0.218, P < 0.05). In high-poverty ZCTAs, a 10% point increase in ZCTA-level household vehicle ownership was associated with a 4% point increase in linkage to care (P = 0.02, R = 0.16). In low-poverty ZCTAs, a 10% point increase in ZCTA-level household vehicle ownership was associated with a 30% point increase in ZCTA-level viral suppression (P = 0.01, R = 0.08). Correlations between transportation variables and community-level care linkage and viral suppression vary by area poverty level and provide opportunities for interventions beyond individual-level factors.

  14. Exploring Neighborhood-level Variation in Asthma and other Respiratory Diseases

    PubMed Central

    Cagney, Kathleen A; Browning, Christopher R

    2004-01-01

    OBJECTIVE We explore differences in the prevalence of asthma and other respiratory diseases at the neighborhood level. In addition to traditional metrics of neighborhood structure (e.g., concentrated disadvantage, residential stability), we incorporate residents’ evaluations of neighborhood context. We examine the extent to which indicators such as disorder (observable signs of physical and social decay) and collective efficacy (trust and shared expectations for beneficial community action) account for differences in the prevalence of asthma and other respiratory diseases. METHODS We examine 338 Chicago neighborhoods, combining 3 data sources from the 1990s: 1) the Metropolitan Chicago Information Center Metro Survey; 2) the Decennial Census; and 3) the Project on Human Development in Chicago Neighborhoods Community Survey. We use a multilevel statistical approach to disentangle neighborhood- from individual-level effects. MEASUREMENTS A survey-based response to whether a physician has diagnosed asthma, bronchitis, emphysema, or other breathing problems. RESULTS Findings indicate that individual- and neighborhood-level factors are associated with asthma/breathing problems. At the individual level, female gender, smoking, and a weight problem are positively associated with asthma/breathing problems, while Latino ethnicity is protective. At the neighborhood level, collective efficacy is protective against asthma/breathing problems. Residential stability is positively associated only when levels of collective efficacy are controlled. CONCLUSIONS Neighborhood context, particularly collective efficacy, may be an underlying factor that reduces vulnerability to asthma and other respiratory diseases. Collective efficacy may enhance the ability to garner health-relevant resources, eliminate environmental hazards that trigger asthma, and promote communication among residents which, in turn, enables dissemination of information relevant to respiratory ailments. PMID:15009777

  15. Neighborhood-level social processes and substantiated cases of child maltreatment.

    PubMed

    Molnar, Beth E; Goerge, Robert M; Gilsanz, Paola; Hill, Andrea; Subramanian, S V; Holton, John K; Duncan, Dustin T; Beatriz, Elizabeth D; Beardslee, William R

    2016-01-01

    Child maltreatment is a preventable public health problem. Research has demonstrated that neighborhood structural factors (e.g. poverty, crime) can influence the proportion of a neighborhood's children who are victims of maltreatment. A newer strategy is the identification of potentially modifiable social processes at the neighborhood level that can also influence maltreatment. Toward this end, this study examines neighborhood-level data (maltreatment cases substantiated by Illinois' child protection agency, 1995-2005, social processes measured by the Project on Human Development in Chicago Neighborhoods, U.S. Census data, proportions of neighborhoods on public assistance, and crime data) that were linked across clusters of contiguous, relatively homogenous Chicago, IL census tracts with respect to racial/ethnic and socioeconomic composition. Our analysis-an ecological-level, repeated cross-sectional design utilizing random-intercept logit models-with a sensitivity analysis using spatial models to control for spatial autocorrelation-revealed consistent associations between neighborhood social processes and maltreatment. Neighborhoods higher in collective efficacy, intergenerational closure, and social networks, and lower in disorder had lower proportions of neglect, physical abuse, and sexual abuse substantiated cases, controlling for differences in structural factors. Higher collective efficacy and social network size also predicted a lower proportion of substance-exposed infants. This research indicates that strategies to mobilize neighborhood-level protective factors may decrease child maltreatment more effectively than individual and family-focused efforts alone. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Examining the psychological sense of community for individuals with serious mental illness residing in supported housing environments.

    PubMed

    Townley, Greg; Kloos, Bret

    2011-08-01

    The psychological sense of community is an important aspect of community life; yet, it remains largely unexamined among individuals with serious mental illness (SMI). Sense of community represents the strength of bonding among community members; and this social phenomenon likely impacts the process by which individuals with SMI integrate into community life. The current study examined sense of community (SOC) for individuals with SMI by assessing the relationships between neighborhood experiences, unique factors related to SMI (e.g., mental illness diagnosis), and sense of community in the neighborhood. Participants were 402 residents of supported housing programs who used mental health services in South Carolina. Hierarchical linear regression was utilized to determine which components of community life helped to explain variability in sense of community. In total, 214 participants reported that it is very important for them to feel a sense of community in their neighborhoods. Neighbor relations, neighborhood safety, neighborhood satisfaction, neighborhood tolerance for mental illness, and housing site type emerged as significant explanatory variables of sense of community. These findings have implications for interventions aimed at enhancing SOC and community integration for individuals with SMI.

  17. Neighborhood walkability moderates the association between low back pain and physical activity: A co-twin control study.

    PubMed

    Zadro, J R; Shirley, D; Pinheiro, M B; Bauman, A; Duncan, G E; Ferreira, P H

    2017-06-01

    The aim of this study was to investigate whether neighborhood walkability moderates the association between low back pain (LBP) and physical activity (PA), using a co-twin design to control for genetics and shared environmental factors. A cross-sectional analysis was performed on 10,228 twins from the Washington State Twin Registry with available data on LBP from recruitment surveys between 2009 and 2013. LBP within the past 3months was our exposure variable. Our outcome variables were sufficient moderate or vigorous-intensity PA (MVPA, defined as at least 75min of vigorous-intensity PA, or 150min of moderate-intensity PA per week), and walking (≥150min per week). Neighborhood walkability, estimated using the commercially available Walk Score®, was our moderator variable. After controlling for the influence of genetics and shared environment, individuals reporting LBP were significantly less likely to engage in sufficient MVPA if they lived in a neighborhood with high walkability (OR=0.59, 95%CI: 0.36-0.96). There was no association between LBP and sufficient MVPA for individuals living in a neighborhood with low walkability (OR=1.27, 95%CI: 0.93-1.72), demonstrating that walkability is a significant moderator of the association between LBP and PA (interaction p=0.013). These findings were similar for the association between LBP and walking (high walkability OR=0.42, 95%CI: 0.22-0.78; low walkability OR=0.71, 95%CI: 0.46-1.12), although the interaction was not significant (p=0.700). Neighborhood walkability moderates the association between LBP and PA. Our results highlight the importance of targeting interventions promoting PA towards individuals with LBP living in a neighborhood with good walkable access to amenities. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Role of Country of Birth, Testing Site, and Neighborhood Characteristics on Nonlinkage to HIV Care Among Latinos.

    PubMed

    Sheehan, Diana M; Cosner, Chelsea; Fennie, Kristopher P; Gebrezgi, Merhawi T; Cyrus, Elena; Maddox, Lorene M; Levison, Julie H; Spencer, Emma C; Niyonsenga, Theophile; Trepka, Mary Jo

    2018-04-01

    The objective of this study was to estimate disparities in linkage to human immunodeficiency virus (HIV) care among Latinos by country/region of birth, HIV testing site, and neighborhood characteristics. A retrospective study was conducted using Florida HIV surveillance records of Latinos/Hispanics aged ≥13 diagnosed during 2014-2015. Linkage to HIV care was defined as a laboratory test (HIV viral load or CD4) within 3 months of HIV diagnosis. Multi-level Poisson regression models were used to estimate adjusted prevalence ratios (aPR) for nonlinkage to care. Of 2659 Latinos, 18.8% were not linked to care within 3 months. Compared with Latinos born in mainland United States, those born in Cuba [aPR 0.60, 95% confidence interval (CI) 0.47-0.76] and Puerto Rico (aPR 0.61, 95% CI 0.41-0.90) had a decreased prevalence of nonlinkage. Latinos diagnosed at blood banks (aPR 2.34, 95% CI 1.75-3.12), HIV case management and screening facilities (aPR 1.76, 95% CI 1.46-2.14), and hospitals (aPR 1.42, 95% CI 1.03-1.96) had an increased prevalence of nonlinkage compared with outpatient general, infectious disease, and tuberculosis/sexually transmitted diseases/family planning clinics. Latinos who resided in the lowest (aPR 1.57, 95% CI 1.19-2.07) and third lowest (aPR 1.33, 95% CI 1.01-1.76) quartiles of neighborhood socioeconomic status compared with the highest quartile were at increased prevalence. Latinos who resided in neighborhoods with <25% Latinos also had increased prevalence of nonlinkage (aPR 1.23, 95% CI 1.01-1.51). Testing site at diagnosis may be an important determinant of HIV care linkage among Latinos due to neighborhood or individual-level resources that determine location of HIV testing.

  19. RACE, CODE OF THE STREET, AND VIOLENT DELINQUENCY: A MULTILEVEL INVESTIGATION OF NEIGHBORHOOD STREET CULTURE AND INDIVIDUAL NORMS OF VIOLENCE*

    PubMed Central

    Stewart, Eric A.; Simons, Ronald L.

    2011-01-01

    The study outlined in this article drew on Elijah Anderson’s (1999) code of the street perspective to examine the impact of neighborhood street culture on violent delinquency. Using data from more than 700 African American adolescents, we examined 1) whether neighborhood street culture predicts adolescent violence above and beyond an adolescent’s own street code values and 2) whether neighborhood street culture moderates individual-level street code values on adolescent violence. Consistent with Anderson’s hypotheses, neighborhood street culture significantly predicts violent delinquency independent of individual-level street code effects. Additionally, neighborhood street culture moderates individual-level street code values on violence in neighborhoods where the street culture is widespread. In particular, the effect of street code values on violence is enhanced in neighborhoods where the street culture is endorsed widely. PMID:21666759

  20. MATCON MODIFIED ASPHALT CONTAINMENT SYSTEM FOR MULTI-USE BROWNFIELDS

    EPA Science Inventory

    The concept of putting brownfield real estate back into safe and practical use is very appealing o both the owner and the neighborhood. Environmental regulations often preclude multi-use alterantives because traditional containment solutions rely on water barrier covers. These ar...

  1. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity

    PubMed Central

    Li, Dapeng; Meng, Hsien-Wen; Kath, Suraj; Nsoesie, Elaine; Li, Feifei; Wen, Ming

    2016-01-01

    Background Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. Objective The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors. Methods We utilized Twitter’s streaming application programming interface to continuously collect a random 1% subset of publicly available geolocated tweets for 1 year (April 2015 to March 2016). We collected 80 million geotagged tweets from 603,363 unique Twitter users across the contiguous United States. We validated our machine learning algorithms for constructing indicators of happiness, food, and physical activity by comparing predicted values to those generated by human labelers. Geotagged tweets were spatially mapped to the 2010 census tract and zip code areas they fall within, which enabled further assessment of the associations between Twitter-derived neighborhood variables and neighborhood demographic, economic, business, and health characteristics. Results Machine labeled and manually labeled tweets had a high level of accuracy: 78% for happiness, 83% for food, and 85% for physical activity for dichotomized labels with the F scores 0.54, 0.86, and 0.90, respectively. About 20% of tweets were classified as happy. Relatively few terms (less than 25) were necessary to characterize the majority of tweets on food and physical activity. Data from over 70,000 census tracts from the United States suggest that census tract factors like percentage African American and economic disadvantage were associated with lower census tract happiness. Urbanicity was related to higher frequency of fast food tweets. Greater numbers of fast food restaurants predicted higher frequency of fast food mentions. Surprisingly, fitness centers and nature parks were only modestly associated with higher frequency of physical activity tweets. Greater state-level happiness, positivity toward physical activity, and positivity toward healthy foods, assessed via tweets, were associated with lower all-cause mortality and prevalence of chronic conditions such as obesity and diabetes and lower physical inactivity and smoking, controlling for state median income, median age, and percentage white non-Hispanic. Conclusions Machine learning algorithms can be built with relatively high accuracy to characterize sentiment, food, and physical activity mentions on social media. Such data can be utilized to construct neighborhood indicators consistently and cost effectively. Access to neighborhood data, in turn, can be leveraged to better understand neighborhood effects and address social determinants of health. We found that neighborhoods with social and economic disadvantage, high urbanicity, and more fast food restaurants may exhibit lower happiness and fewer healthy behaviors. PMID:27751984

  2. Effects of Neighborhood Resources on Aggressive and Delinquent Behaviors Among Urban Youths

    PubMed Central

    Molnar, Beth E.; Cerda, Magdalena; Roberts, Andrea L.; Buka, Stephen L.

    2008-01-01

    Objectives. We sought to identify neighborhood-level resources associated with lower levels of aggression and delinquency among youths aged 9–15 years at baseline after accounting for risk factors and other types of resources. Methods. Data were derived from the Project on Human Development in Chicago Neighborhoods, which focused on 2226 ethnically diverse, urban youths, their caregivers, and the 80 neighborhoods in which they resided at baseline. Results. Living in a neighborhood with a higher concentration of organizations or services serving young people and adults was associated with lower levels of aggression (odds ratio [OR]=0.9; 95% confidence interval [CI]=0.8, 1.0); living in such a neighborhood also moderated family, peer, and mentor resources. For example, the presence of well-behaved peers was associated with lower levels of aggression among youths living in neighborhoods where the concentration of organizations and services was at least 1 standard deviation above the mean; the association was less strong among youths living in neighborhoods with organizations and services 1 standard deviation below the mean or less. Conclusions. Certain family, peer, and mentoring resources may confer benefits only in the presence of neighborhood resources. Increasing neighborhood resources should be considered in interventions designed to reduce urban youths’ involvement in violence. PMID:17901441

  3. Multilevel Correlates of Satisfaction with Neighborhood Availability of Fresh Fruits and Vegetables

    PubMed Central

    Zenk, Shannon N.; Schulz, Amy J.; Lachance, Laurie L.; Mentz, Graciela; Kannan, Srimathi; Ridella, William; Galea, Sandro

    2009-01-01

    Background Little is known about influences on perceptions of neighborhood food environments, despite their relevance for food-shopping behaviors and food choices. Purpose This study examined relationships between multilevel factors (neighborhood structure, independently observed neighborhood food environment, individual socioeconomic position) and satisfaction with neighborhood availability of fruits and vegetables. Methods The multilevel regression analysis drew on data from a community survey of urban adults, in-person audit and mapping of food stores, and the 2000 Census. Results Satisfaction with neighborhood availability of fruits and vegetables was lower in neighborhoods that were further from a supermarket and that had proportionately more African-American residents. Neighborhood poverty and independently observed neighborhood fruit and vegetable characteristics (variety, prices, quality) were not associated with satisfaction. Individual education modified relationships between neighborhood availability of smaller food stores (small grocery stores, convenience stores, liquor stores) and satisfaction. Conclusions Individual-level and neighborhood-level factors affect perceptions of neighborhood food environments. PMID:19809859

  4. Neighborhood environment profiles for physical activity among older adults.

    PubMed

    Adams, Marc A; Sallis, James F; Conway, Terry L; Frank, Lawrence D; Saelens, Brian E; Kerr, Jacqueline; Cain, Kelli L; King, Abby C

    2012-11-01

    To explore among older adults whether multivariate neighborhood profiles were associated with physical activity (PA) and BMI. Adults (66-97 years) were recruited from Baltimore-Washington, DC (n=360), and Seattle-King County, Washington (n=368), regions. Latent profile analyses were conducted using the Neighborhood Environment Walkability Scale. ANCOVA models tested for criterion validity of profiles by examining relationships to PA and BMI. Neighborhood profiles differed significantly by as much as 10 minutes/day for moderate-to-vigorous PA, 1.1 hours/week for walking for errands, and almost 50 minutes/week for leisure PA. Environmental variables resulted in meaningful neighborhood patterns that explained large differences in seniors' health outcomes.

  5. The interaction between physical activity and obesity gene variants in association with BMI: Does the obesogenic environment matter?

    PubMed

    Graff, M; Richardson, A S; Young, K L; Mazul, A L; Highland, Heather; North, K E; Mohlke, K L; Lange, L A; Lange, E M; Harris, K M; Gordon-Larsen, P

    2016-11-01

    Little is known about how obesity susceptibility single nucleotide polymorphisms (SNPs) interact with moderate to vigorous physical activity (MVPA) in relation to BMI during adolescence, once obesogenic neighborhood factors are accounted for. In race stratified models, including European (EA; N=4977), African (AA; N=1726), and Hispanic Americans (HA; N=1270) from the National Longitudinal Study of Adolescent to Adult Health (1996; ages 12-21), we assessed the evidence for a SNPxMVPA interaction with BMI-for-age Z score, once accounting for obesogenic neighborhood factors including physical activity amenities, transportation and recreation infrastructure, poverty and crime. Eight SNPxMVPA interactions with suggestive significance (p<0.10; three in each EA, and AA, two in HA) were observed showing attenuation on BMI-for-age Z score in adolescents with ≥5 versus <5 bouts/week MVPA, except for rs10146997 (near NRXN3). Findings were robust to the inclusion of neighborhood-level variables as covariates. These findings suggest that any attenuation from MVPA on a genetic susceptibility to obesity during adolescence is likely not operating through obesogenic neighborhood factors. Copyright © 2016 Elsevier Ltd. All rights reserved.

  6. ADOLESCENTS’ EXPOSURE TO COMMUNITY VIOLENCE: ARE NEIGHBORHOOD YOUTH ORGANIZATIONS PROTECTIVE?

    PubMed Central

    Gardner, Margo; Brooks-Gunn, Jeanne

    2011-01-01

    Using data from the Project on Human Development in Chicago Neighborhoods (PHDCN), we identified a significant inverse association between the variety of youth organizations available at the neighborhood level and adolescents’ exposure to community violence. We examined two non-competing explanations for this finding. First, at the individual level, we tested the hypothesis that access to a greater variety of neighborhood youth organizations predicts adolescents’ participation in organized community-based activities, which, in turn, protects against community violence exposure. Second, at the neighborhood level, we tested the hypothesis that lower violent crime rates explain the inverse relation between neighborhood youth organization variety and community violence exposure. Our findings supported the latter of these two mechanisms. PMID:21666761

  7. ADOLESCENTS' EXPOSURE TO COMMUNITY VIOLENCE: ARE NEIGHBORHOOD YOUTH ORGANIZATIONS PROTECTIVE?

    PubMed

    Gardner, Margo; Brooks-Gunn, Jeanne

    2009-05-01

    Using data from the Project on Human Development in Chicago Neighborhoods (PHDCN), we identified a significant inverse association between the variety of youth organizations available at the neighborhood level and adolescents' exposure to community violence. We examined two non-competing explanations for this finding. First, at the individual level, we tested the hypothesis that access to a greater variety of neighborhood youth organizations predicts adolescents' participation in organized community-based activities, which, in turn, protects against community violence exposure. Second, at the neighborhood level, we tested the hypothesis that lower violent crime rates explain the inverse relation between neighborhood youth organization variety and community violence exposure. Our findings supported the latter of these two mechanisms.

  8. Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS).

    PubMed

    Cain, Kelli L; Millstein, Rachel A; Sallis, James F; Conway, Terry L; Gavand, Kavita A; Frank, Lawrence D; Saelens, Brian E; Geremia, Carrie M; Chapman, James; Adams, Marc A; Glanz, Karen; King, Abby C

    2014-09-01

    Ecological models of physical activity emphasize the effects of environmental influences. "Microscale" streetscape features that may affect pedestrian experience have received less research attention than macroscale walkability (e.g., residential density). The Microscale Audit of Pedestrian Streetscapes (MAPS) measures street design, transit stops, sidewalk qualities, street crossing amenities, and features impacting aesthetics. The present study examined associations of microscale attributes with multiple physical activity (PA) measures across four age groups. Areas in the San Diego, Seattle, and the Baltimore metropolitan areas, USA, were selected that varied on macro-level walkability and neighborhood income. Participants (n = 3677) represented four age groups (children, adolescents, adults, older adults). MAPS audits were conducted along a 0.25 mile route along the street network from participant residences toward the nearest non-residential destination. MAPS data were collected in 2009-2010. Subscale and overall summary scores were created. Walking/biking for transportation and leisure/neighborhood PA were measured with age-appropriate surveys. Objective PA was measured with accelerometers. Mixed linear regression analyses were adjusted for macro-level walkability. Across all age groups 51.2%, 22.1%, and 15.7% of all MAPS scores were significantly associated with walking/biking for transport, leisure/neighborhood PA, and objectively-measured PA, respectively. Supporting the ecological model principle of behavioral specificity, destinations and land use, streetscape, street segment, and intersection variables were more related to transport walking/biking, while aesthetic variables were related to leisure/neighborhood PA. The overall score was related to objective PA in children and older adults. Present findings provide strong evidence that microscale environment attributes are related to PA across the lifespan. Improving microscale features may be a feasible approach to creating activity-friendly environments. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

  9. Neighborhood-Level Poverty at Menarche and Prepregnancy Obesity in African-American Women

    PubMed Central

    Peters, Rosalind M.; Burmeister, Charlotte; Bielak, Lawrence F.; Johnson, Dayna A.

    2016-01-01

    Introduction. Menarche is a critical time point in a woman's reproductive system development; exposures at menarche may influence maternal health. Living in a poorer neighborhood is associated with adult obesity; however, little is known if neighborhood factors at menarche are associated with prepregnancy obesity. Methods. We examined the association of neighborhood-level poverty at menarche with prepregnancy body mass index category in 144 pregnant African-American women. Address at menarche was geocoded to census tract (closest to year of menarche); neighborhood-level poverty was defined as the proportion of residents living under the federal poverty level. Cumulative logistic regression was used to examine the association of neighborhood-level poverty at menarche, in quartiles, with categorical prepregnancy BMI. Results. Before pregnancy, 59 (41%) women were obese. Compared to women in the lowest neighborhood-level poverty quartile, women in the highest quartile had 2.9 [1.2, 6.9] times higher odds of prepregnancy obesity; this was slightly attenuated after adjusting for age, marital status, education, and parity (odds ratio: 2.3 [0.9, 6.3]). Conclusions. Living in a higher poverty neighborhood at menarche is associated with prepregnancy obesity in African-American women. Future studies are needed to better understand the role of exposures in menarche on health in pregnancy. PMID:27418977

  10. Neighborhood-Level Poverty at Menarche and Prepregnancy Obesity in African-American Women.

    PubMed

    Cassidy-Bushrow, Andrea E; Peters, Rosalind M; Burmeister, Charlotte; Bielak, Lawrence F; Johnson, Dayna A

    2016-01-01

    Introduction. Menarche is a critical time point in a woman's reproductive system development; exposures at menarche may influence maternal health. Living in a poorer neighborhood is associated with adult obesity; however, little is known if neighborhood factors at menarche are associated with prepregnancy obesity. Methods. We examined the association of neighborhood-level poverty at menarche with prepregnancy body mass index category in 144 pregnant African-American women. Address at menarche was geocoded to census tract (closest to year of menarche); neighborhood-level poverty was defined as the proportion of residents living under the federal poverty level. Cumulative logistic regression was used to examine the association of neighborhood-level poverty at menarche, in quartiles, with categorical prepregnancy BMI. Results. Before pregnancy, 59 (41%) women were obese. Compared to women in the lowest neighborhood-level poverty quartile, women in the highest quartile had 2.9 [1.2, 6.9] times higher odds of prepregnancy obesity; this was slightly attenuated after adjusting for age, marital status, education, and parity (odds ratio: 2.3 [0.9, 6.3]). Conclusions. Living in a higher poverty neighborhood at menarche is associated with prepregnancy obesity in African-American women. Future studies are needed to better understand the role of exposures in menarche on health in pregnancy.

  11. Family Structure, Residential Mobility, and Environmental Inequality

    PubMed Central

    Downey, Liam; Crowder, Kyle; Kemp, Robert J.

    2016-01-01

    This study combines micro-level data on families with children from the Panel Study of Income Dynamics with neighborhood-level industrial hazard data from the Environmental Protection Agency and neighborhood-level U.S. census data to examine both the association between family structure and residential proximity to neighborhood pollution and the micro-level, residential mobility processes that contribute to differential pollution proximity across family types. Results indicate the existence of significant family structure differences in household proximity to industrial pollution in U.S. metropolitan areas between 1990 and 1999, with single-mother and single-father families experiencing neighborhood pollution levels that are on average 46% and 26% greater, respectively, than those experienced by two-parent families. Moreover, the pollution gap between single-mother and two-parent families persists with controls for household and neighborhood socioeconomic, sociodemographic, and race/ethnic characteristics. Examination of underlying migration patterns reveals that single-mother, single-father, and two-parent families are equally likely to move in response to pollution. However, mobile single-parent families move into neighborhoods with significantly higher pollution levels than do mobile two-parent families. Thus, family structure differences in pollution proximity are maintained more by these destination neighborhood differences than by family structure variations in the likelihood of moving out of polluted neighborhoods. PMID:28348440

  12. Fear of walking outdoors. A multilevel ecologic analysis of crime and disorder.

    PubMed

    Roman, Caterina G; Chalfin, Aaron

    2008-04-01

    Although a number of studies have tested ecologic models that postulate relationships among social networks, the built environment, and active living, few neighborhood-based studies have considered the role of crime and violence. This study investigates the degree to which individual-level demographic characteristics and neighborhood-level physical and social characteristics are associated with increased fear of crime. Data were analyzed in 2007 from a 2005 survey of 901 randomly selected individuals living in 55 neighborhoods in Washington DC. Multilevel ordered logit regression was used to examine associations between individual-level and neighborhood-level characteristics and how often fear of crime prevents a respondent from walking outdoors. Age and female gender were associated with an increase in fear; the percentage of a resident's life spent in the same neighborhood was associated with a decrease in fear. Results of cross-level interactions showed that at the neighborhood level, women were more fearful than men in neighborhoods without violence, but that the difference in fear between men and women shrinks as neighborhood violence increases. Collective efficacy was found to increase fear among black respondents and had no effect on fear among nonblack respondents. If the study of neighborhoods and active living is to progress and contribute to both etiologic understanding and policy formation, it is essential that theoretical and empirical models consider the impact of violence and fear on walking. Efforts to increase active living in urban neighborhoods that do not account for the impact of crime and fear may fall short of their intended outcomes.

  13. Individual and Neighborhood Characteristics of Children Seeking Emergency Department Care for Firearm Injuries Within the PECARN Network.

    PubMed

    Carter, Patrick M; Cook, Lawrence J; Macy, Michelle L; Zonfrillo, Mark R; Stanley, Rachel M; Chamberlain, James M; Fein, Joel A; Alpern, Elizabeth R; Cunningham, Rebecca M

    2017-07-01

    The objective was to describe the characteristics of children seeking emergency care for firearm injuries within the PECARN network and assess the influence of both individual and neighborhood factors on firearm-related injury risk. This was a retrospective, multicenter cross-sectional analysis of children (<19 years old) presenting to 16 pediatric EDs (2004-2008). ICD-9-CM E-codes were used to identify and categorize firearm injuries by mechanism/intent. Neighborhood variables were derived from home address data. Multivariable analysis examined the influence of individual and neighborhood factors on firearm-related injuries compared to nonfirearm ED visits. Injury recidivism was assessed. A total of 1,758 pediatric ED visits for firearm-related injuries were analyzed. Assault (51.4%, n = 904) and unintentional injury (33.2%, n = 584) were the most common injury mechanisms. Among children with firearm injuries, 68.3% were older adolescents (15-19 years old), 82.3% were male, 68.2% were African American, and 76.3% received public insurance/were uninsured. Extremity injuries were most common (75.9%), with 20% sustaining injuries to multiple body regions, 48.1% requiring admission and 1% ED mortality. Multivariable analysis identified firearm injury risk factors, including adolescent age (p < 0.001), male sex (p < 0.001), non-Caucasian race/ethnicity (p < 0.001), public payer/uninsured status (p < 0.001), and higher levels of neighborhood disadvantage (p < 0.001). Among children with firearm injuries, 12-month ED recidivism for any reason was 22.4%, with < 1% returning for another firearm injury. Among children receiving ED treatment within the PECARN network, there are distinct demographic and neighborhood factors associated with firearm injuries. Among younger children (<10 years old), unintentional injuries predominate, while assault-type injuries were most common among older adolescents. Overall, among this PECARN patient population, male adolescents living in neighborhoods characterized by high levels of concentrated disadvantage had an elevated risk for firearm injury. Public health efforts should focus on developing and implementing initiatives addressing risk factors at both the individual and the community level, including ED-based interventions to reduce the risk for firearm injuries among high-risk pediatric populations. © 2017 by the Society for Academic Emergency Medicine.

  14. Cumulative neighborhood risk of psychosocial stress and allostatic load in adolescents.

    PubMed

    Theall, Katherine P; Drury, Stacy S; Shirtcliff, Elizabeth A

    2012-10-01

    The authors examined the impact of cumulative neighborhood risk of psychosocial stress on allostatic load (AL) among adolescents as a mechanism through which life stress, including neighborhood conditions, may affect health and health inequities. They conducted multilevel analyses, weighted for sampling and propensity score-matched, among adolescents aged 12-20 years in the National Health and Nutrition Examination Survey (1999-2006). Individuals (first level, n = 11,886) were nested within families/households (second level, n = 6,696) and then census tracts (third level, n = 2,191) for examination of the contextual effect of cumulative neighborhood risk environment on AL. Approximately 35% of adolescents had 2 or more biomarkers of AL. A significant amount of variance in AL was explained at the neighborhood level. The likelihood of having a high AL was approximately 10% higher for adolescents living in medium-cumulative-risk neighborhoods (adjusted odds ratio (OR) = 1.09, 95% confidence interval (CI): 1.08, 1.09), 28% higher for those living in high-risk neighborhoods (adjusted OR = 1.28, 95% CI: 1.27, 1.30), and 69% higher for those living in very-high-risk neighborhoods (adjusted OR = 1.69, 95% CI: 1.68, 1.70) as compared with adolescents living in low-risk areas. Effect modification was observed by both individual- and neighborhood-level sociodemographic factors. These findings offer support for the hypothesis that neighborhood risks may culminate in a range of biologically mediated negative health outcomes detectable in adolescents.

  15. Cumulative Neighborhood Risk of Psychosocial Stress and Allostatic Load in Adolescents

    PubMed Central

    Theall, Katherine P.; Drury, Stacy S.; Shirtcliff, Elizabeth A.

    2012-01-01

    The authors examined the impact of cumulative neighborhood risk of psychosocial stress on allostatic load (AL) among adolescents as a mechanism through which life stress, including neighborhood conditions, may affect health and health inequities. They conducted multilevel analyses, weighted for sampling and propensity score-matched, among adolescents aged 12–20 years in the National Health and Nutrition Examination Survey (1999–2006). Individuals (first level, n = 11,886) were nested within families/households (second level, n = 6,696) and then census tracts (third level, n = 2,191) for examination of the contextual effect of cumulative neighborhood risk environment on AL. Approximately 35% of adolescents had 2 or more biomarkers of AL. A significant amount of variance in AL was explained at the neighborhood level. The likelihood of having a high AL was approximately 10% higher for adolescents living in medium-cumulative-risk neighborhoods (adjusted odds ratio (OR) = 1.09, 95% confidence interval (CI): 1.08, 1.09), 28% higher for those living in high-risk neighborhoods (adjusted OR = 1.28, 95% CI: 1.27, 1.30), and 69% higher for those living in very-high-risk neighborhoods (adjusted OR = 1.69, 95% CI: 1.68, 1.70) as compared with adolescents living in low-risk areas. Effect modification was observed by both individual- and neighborhood-level sociodemographic factors. These findings offer support for the hypothesis that neighborhood risks may culminate in a range of biologically mediated negative health outcomes detectable in adolescents. PMID:23035140

  16. Neighborhood contextual characteristics and leisure-time physical activity: Pró-Saúde Study.

    PubMed

    Boclin, Karine de Lima Sírio; Faerstein, Eduardo; Leon, Antônio Carlos Monteiro Ponce de

    2014-04-01

    To estimate the association between neighborhood contextual variables and leisure-time physical activity. Data were analyzed for 2,674 adults from Rio de Janeiro, RJ, Southeastern Brazil, participating in the longitudinal study in 1999. Leisure-time physical activity in the two preceding weeks was assessed dichotomously. Sex, age, income, education and marital status were analyzed as individual variables. Neighborhood contextual characteristics were the social development index, the Theil index and the proportion of the area occupied by parks, squares and gardens, categorized in quintiles. The unadjusted and adjusted odds ratios and 95% confidence intervals were estimated using multilevel logistic regression. The prevalence of leisure-time physical activity was higher in residents in neighborhoods with higher indices of social development (between 32.3% and 53.1%) and a greater proportion of parks, squares and gardens (between 35.8% and 53.1%). Regarding the social development index, the adjusted odds ratios for physical activity were 1.22 (95%CI 0.93;1.61), 1.44 (95%CI 1.09;1.89), 1.75 (95%CI 1.31;2.34) and 2.25 (95%CI 1.70;3.00) for residents in neighborhoods in the second, third, fourth and fifth quintiles, respectively, compared with residents in neighborhoods in the first quintile. The odds ratios for the proportion of parks, squares and gardens were 0.90 (95%CI 0.69;1.19), 1.41 (95%CI 1.04;1.90), 1.63 (95%CI 1.24;2.14) and 1.05 (95%CI 0.80;1.38) for residents in neighborhoods in the second, third, fourth and fifth quintiles. After adjusting for the other variables, only the social development index continued to be associated with leisure-time physical activity, with odds ratios of 1.41 (95%CI 1.02;1.95); 1.54 (95%CI 1.12;2.12); 1.65 (95%CI 1.14;2.39) and 2.13 (95%CI 1.40;3.25) for residents in neighborhoods in the second, third, fourth and fifth quintiles. Leisure-time physical activity was more common in residents in neighborhoods with higher social development indices. No association was observed between access to leisure areas and income inequality.

  17. Stellar Populations and Nearby Galaxies with the LSST

    NASA Astrophysics Data System (ADS)

    Saha, Abhijit; Olsen, K.; Monet, D. G.; LSST Stellar Populations Collaboration

    2009-01-01

    The LSST will produce a multi-color map and photometric object catalog of half the sky to r=27.6 (AB mag; 5-sigma). Time-space sampling of each field spanning ten years will allow variability, proper motion and parallax measurements for objects brighter than r=24.7. As part of providing an unprecedented map of the Galaxy, the accurate multi-band photometry will permit photometric parallaxes, chemical abundances and a handle on ages via colors at turn-off for main-sequence (MS) stars at all distances within the Galaxy as well as in the Magellanic Clouds, and dwarf satellites of the Milky Way. This will support comprehensive studies of star formation histories and chemical evolution for field stars. The structures of the Clouds and dwarf spheroidals will be traced with the MS stars, to equivalent surface densities fainter than 35 mag/square arc-second. With geometric parallax accuracy of 1 milli-arc-sec, comparable to HIPPARCOS but reaching more than 10 magnitudes fainter, a robust complete sample of solar neighborhood stars will be obtained. The LSST time sampling will identify and characterize variable stars of all types, from time scales of 1 hr to several years, a feast for variable star astrophysics. The combination of wide coverage, multi-band photometry, time sampling and parallax taken together will address several key problems: e.g. fine tuning the extragalactic distance scale by examining properties of RR Lyraes and Cepheids as a function of parent populations, extending the faint end of the galaxy luminosity function by discovering them using star count density enhancements on degree scales tracing, and indentifying inter-galactic stars through novae and Long Period Variables.

  18. Individual, network, and neighborhood correlates of exchange sex among female non-injection drug users in Baltimore, MD (2005–2007)

    PubMed Central

    Rudolph, Abby E; Linton, Sabriya; Dyer, Typhanye Penniman; Latkin, Carl

    2012-01-01

    The “HIV risk environment” has been characterized as a dynamic interplay between structural and network factors. However, most HIV prevention research has not examined the independent and combined impact of network and structural factors. We aimed to identify individual, network, and neighborhood correlates of exchange sex (≥1 exchange sex partner, past 90 days) among female non-injection drug users (NIDUs). We used baseline data from 417 NIDUs enrolled in a randomized HIV prevention trial in Baltimore (2005–2007). Surveys ascertained demographic variables, drug/sex risk behaviors, neighborhood perceptions, and social/sexual network characteristics. Correlates of exchange sex were identified with descriptive statistics and log-binomial regression. Our findings suggest that sex and drug relationships among female NIDUs are interlinked and may be difficult to modify without altering social norms. Strengthening ties that provide social support but not drug support and reducing ties that provide both drug and social support may facilitate reductions in individual-level HIV-risk behaviors. PMID:22983502

  19. Hazard Experience, Geophysical Vulnerability, and Flood Risk Perceptions in a Postdisaster City, the Case of New Orleans.

    PubMed

    Gotham, Kevin Fox; Campanella, Richard; Lauve-Moon, Katie; Powers, Bradford

    2018-02-01

    This article investigates the determinants of flood risk perceptions in New Orleans, Louisiana (United States), a deltaic coastal city highly vulnerable to seasonal nuisance flooding and hurricane-induced deluges and storm surges. Few studies have investigated the influence of hazard experience, geophysical vulnerability (hazard proximity), and risk perceptions in cities undergoing postdisaster recovery and rebuilding. We use ordinal logistic regression techniques to analyze experiential, geophysical, and sociodemographic variables derived from a survey of 384 residents in seven neighborhoods. We find that residents living in neighborhoods that flooded during Hurricane Katrina exhibit higher levels of perceived risk than those residents living in neighborhoods that did not flood. In addition, findings suggest that flood risk perception is positively associated with female gender, lower income, and direct flood experiences. In conclusion, we discuss the implications of these findings for theoretical and empirical research on environmental risk, flood risk communication strategies, and flood hazards planning. © 2017 Society for Risk Analysis.

  20. Geographic Variation in Maternal Smoking during Pregnancy in the Missouri Adolescent Female Twin Study (MOAFTS)

    PubMed Central

    Lian, Min; Madden, Pamela A.; Lynskey, Michael T.; Colditz, Graham A.; Lessov-Schlaggar, Christina N.; Schootman, Mario; Heath, Andrew C.

    2016-01-01

    Objective Despite well-known adverse health effects of maternal smoking during pregnancy (MSP), it is still unclear if MSP varies geographically and if neighborhood socioeconomic deprivation (SED) plays an important role in MSP. This study aims to investigate small-area geographic variation in MSP and examine the association of SED with MSP. Methods The Missouri Adolescent Female Twin Study (MOAFTS) is a cohort study of female like-sex twins born in Missouri to Missouri-resident parents during 1975–1985. Biological mothers completed a baseline interview in 1995–1998 and reported MSP with the twins. Residential address of the mother at birth was geocoded. We developed a census tract-level SED index using a common factor approach based on 21 area-level socioeconomic variables from the 1980 Census data. Multilevel logistic regressions estimated geographic heterogeneity (random effect) in MSP and the odds ratios (ORs, fixed effects) of neighborhood SED associated with MSP. Results Of 1658 MOAFTS mothers, 35.2% reported any MSP and 21.9% reported MSP beyond the first trimester. Neighborhood SED was associated with any MSP (the highest vs. the lowest quartile: OR = 1.90, 95% confidence interval [CI] = 1.40–2.57, Ptrend<0.001) and MSP beyond the first trimester (OR = 1.98, 95% CI = 1.38–2.85, Ptrend = 0.002) in unadjusted analyses. After adjusting for individual covariates (demographics, socioeconomic conditions, alcohol use, and parents’ cohabitation), neighborhood SED was not associated with MSP, but geographic variation still persisted in MSP (variance = 0.41, P = 0.003) and in MSP beyond the first trimester (variance = 0.82, P<0.001). Conclusions Neighborhood SED was associated with MSP in unadjusted analyses but this association could be explained by individual socioeconomic conditions. Nonetheless, significant geographic variation in MSP persisted and was not accounted for by differences in neighborhood SED. To develop effective interventions to reduce MSP, further studies are necessary to explore underlying reasons for its geographic variation. PMID:27100091

  1. Neighborhood socioeconomic circumstances and the co-occurrence of unhealthy lifestyles: evidence from 206,457 Australians in the 45 and up study.

    PubMed

    Feng, Xiaoqi; Astell-Burt, Thomas

    2013-01-01

    Research on the co-occurrence of unhealthy lifestyles has tended to focus mainly upon the demographic and socioeconomic characteristics of individuals. This study investigated the relevance of neighborhood socioeconomic circumstance for multiple unhealthy lifestyles. An unhealthy lifestyle index was constructed for 206,457 participants in the 45 and Up Study (2006-2009) by summing binary responses on smoking, alcohol, physical activity and five diet-related variables. Higher scores indicated the co-occurrence of unhealthy lifestyles. Association with self-rated health, quality of life; and risk of psychological distress was investigated using multilevel logistic regression. Association between the unhealthy lifestyle index with neighborhood characteristics (local affluence and geographic remoteness) were assessed using multilevel linear regression, adjusting for individual-level characteristics. Nearly 50% of the sample reported 3 or 4 unhealthy lifestyles. Only 1.5% reported zero unhealthy lifestyles and 0.2% had all eight. Compared to people who scored zero, those who scored 8 (the 'unhealthiest' group) were 7 times more likely to rate their health as poor (95%CI 3.6, 13.7), 5 times more likely to report poor quality of life (95%CI 2.6, 10.1), and had a 2.6 times greater risk of psychological distress (95%CI 1.8, 3.7). Higher scores among men decreased with age, whereas a parabolic distribution was observed among women. Neighborhood affluence was independently associated with lower scores on the unhealthy lifestyle index. People on high incomes scored higher on the unhealthy lifestyle index if they were in poorer neighborhoods, while those on low incomes had fewer unhealthy lifestyles if living in more affluent areas. Residents of deprived neighborhoods tend to report more unhealthy lifestyles than their peers in affluent areas, regardless of their individual demographic and socioeconomic characteristics. Future research should investigate the trade-offs of population-level versus geographically targeted multiple lifestyle interventions.

  2. Neighborhood Socioeconomic Circumstances and the Co-Occurrence of Unhealthy Lifestyles: Evidence from 206,457 Australians in the 45 and Up Study

    PubMed Central

    Feng, Xiaoqi; Astell-Burt, Thomas

    2013-01-01

    Background Research on the co-occurrence of unhealthy lifestyles has tended to focus mainly upon the demographic and socioeconomic characteristics of individuals. This study investigated the relevance of neighborhood socioeconomic circumstance for multiple unhealthy lifestyles. Method An unhealthy lifestyle index was constructed for 206,457 participants in the 45 and Up Study (2006–2009) by summing binary responses on smoking, alcohol, physical activity and five diet-related variables. Higher scores indicated the co-occurrence of unhealthy lifestyles. Association with self-rated health, quality of life; and risk of psychological distress was investigated using multilevel logistic regression. Association between the unhealthy lifestyle index with neighborhood characteristics (local affluence and geographic remoteness) were assessed using multilevel linear regression, adjusting for individual-level characteristics. Results Nearly 50% of the sample reported 3 or 4 unhealthy lifestyles. Only 1.5% reported zero unhealthy lifestyles and 0.2% had all eight. Compared to people who scored zero, those who scored 8 (the ‘unhealthiest’ group) were 7 times more likely to rate their health as poor (95%CI 3.6, 13.7), 5 times more likely to report poor quality of life (95%CI 2.6, 10.1), and had a 2.6 times greater risk of psychological distress (95%CI 1.8, 3.7). Higher scores among men decreased with age, whereas a parabolic distribution was observed among women. Neighborhood affluence was independently associated with lower scores on the unhealthy lifestyle index. People on high incomes scored higher on the unhealthy lifestyle index if they were in poorer neighborhoods, while those on low incomes had fewer unhealthy lifestyles if living in more affluent areas. Interpretation Residents of deprived neighborhoods tend to report more unhealthy lifestyles than their peers in affluent areas, regardless of their individual demographic and socioeconomic characteristics. Future research should investigate the trade-offs of population-level versus geographically targeted multiple lifestyle interventions. PMID:23977335

  3. Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?

    PubMed Central

    Wei, Chunzhu; Cabrera-Barona, Pablo; Blaschke, Thomas

    2016-01-01

    This study aims to explore the effect of the neighborhood scale when estimating public services inequality based on the aggregation of social, environmental, and health-related indicators. Inequality analyses were carried out at three neighborhood scales: the original census blocks and two aggregated neighborhood units generated by the spatial “k”luster analysis by the tree edge removal (SKATER) algorithm and the self-organizing map (SOM) algorithm. Then, we combined a set of health-related public services indicators with the geographically weighted principal components analyses (GWPCA) and the principal components analyses (PCA) to measure the public services inequality across all multi-scale neighborhood units. Finally, a statistical test was applied to evaluate the scale effects in inequality measurements by combining all available field survey data. We chose Quito as the case study area. All of the aggregated neighborhood units performed better than the original census blocks in terms of the social indicators extracted from a field survey. The SKATER and SOM algorithms can help to define the neighborhoods in inequality analyses. Moreover, GWPCA performs better than PCA in multivariate spatial inequality estimation. Understanding the scale effects is essential to sustain a social neighborhood organization, which, in turn, positively affects social determinants of public health and public quality of life. PMID:27706072

  4. Implications of Supermarket Access, Neighborhood Walkability, and Poverty Rates for Diabetes Risk in an Employee Population

    PubMed Central

    Herrick, Cynthia J.; Yount, Byron W.; Eyler, Amy A.

    2016-01-01

    Objective Diabetes is a growing public health problem, and the environment in which people live and work may affect diabetes risk. The goal of this study was to examine the association between multiple aspects of environment and diabetes risk in an employee population. Design This was a retrospective cross-sectional analysis. Home environment variables were derived using employee zip code. Descriptive statistics were run on all individual and zip code level variables, stratified by diabetes risk and worksite. A multivariable logistic regression analysis was then conducted to determine the strongest associations with diabetes risk. Setting Data was collected from employee health fairs in a Midwestern health system 2009–2012. Subjects The dataset contains 25,227 unique individuals across four years of data. From this group, using an individual’s first entry into the database, 15,522 individuals had complete data for analysis. Results The prevalence of high diabetes risk in this population was 2.3%. There was significant variability in individual and zip code level variables across worksites. From the multivariable analysis, living in a zip code with higher percent poverty and higher walk score was positively associated with high diabetes risk, while living in a zip code with higher supermarket density was associated with a reduction in high diabetes risk. Conclusions Our study underscores the important relationship between poverty, home neighborhood environment, and diabetes risk, even in a relatively healthy employed population, and suggests a role for the employer in promoting health. PMID:26638995

  5. Association of neighborhood-level factors with hospitalization for community-associated methicillin-resistant Staphylococcus aureus, New York City, 2006: a multilevel observational study.

    PubMed

    Farr, Amanda M; Marx, Melissa A; Weiss, Don; Nash, Denis

    2013-02-13

    Hospitalizations with community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) infection have increased in New York City, with substantial geographic variation across neighborhoods. While individual-level risk factors, such as age, sex, HIV infection, and diabetes have been described, the role of neighborhood-level factors (e.g., neighborhood HIV prevalence or income) has not been examined. To explore plausible neighborhood-level factors associated with CA-MRSA-related hospitalizations, a retrospective analysis was conducted using New York City hospital discharges from 2006 and New York City-specific survey and health department surveillance data. CA-MRSA-related hospitalizations were identified using diagnosis codes and admission information. Associations were determined by using sex-specific multilevel logistic regression. The CA-MRSA hospitalization rate varied by more than six-fold across New York City neighborhoods. Females hospitalized with CA-MRSA had more than twice the odds of residing in neighborhoods in the highest quintile of HIV prevalence (adjusted odds ratio [AOR](Q5 vs. Q1) 2.3, 95% CI: 1.2, 2.7). Both males and females hospitalized with CA-MRSA had nearly twice the odds of residing in neighborhoods with moderately high proportion of men who have sex with men (MSM) residing in the neighborhood (males: AOR(Q4 vs. Q1) 1.7, 95% CI: 1.1, 2.7; females: AOR(Q4 vs. Q1) 2.0, 95% CI: 1.1, 3.6); but this association did not hold for neighborhoods in the highest quintile (males: AOR(Q5 vs. Q1) 1.2, 95% CI: 0.76, 1.8; females: AOR(Q5 vs. Q1) 1.5, 95% CI: 0.82, 2.7). Neighborhood-level characteristics were associated with CA-MRSA hospitalization odds, independent of individual-level risk factors, and may contribute to the population-level burden of CA-MRSA infection.

  6. Association of U.S. Dialysis Facility Neighborhood Characteristics with Facility-Level Kidney Transplantation

    PubMed Central

    Plantinga, Laura; Pastan, Stephen; Kramer, Michael; McClellan, Ann; Krisher, Jenna; Patzer, Rachel E.

    2014-01-01

    Background Improving access to optimal healthcare may depend on attributes of neighborhoods where patients receive healthcare services. We investigated whether characteristics of dialysis facility neighborhoods—where most patients with end-stage renal disease are treated—were associated with facility-level kidney transplantation. Methods We examined the association between census tract (neighborhood)-level sociodemographic factors and facility-level kidney transplantation rate in 3,983 U.S. dialysis facilities with reported kidney transplantation rates. Number of kidney transplants and total person-years contributed at the facility level in 2007-2010 were obtained from the Dialysis Facility Report and linked to census tract data on sociodemographic characteristics from the American Community Survey 2006-2010 by dialysis facility location. We used multivariable Poisson models with generalized estimating equations to estimate associations between neighborhood characteristics and transplant incidence. Results U.S. dialysis facilities were located in neighborhoods with substantially greater proportions of black and poor residents, relative to the national average. Most facility neighborhood characteristics were associated with transplant, with incidence rate ratios (95% CI) for standardized increments (in percentage) of neighborhood exposures of: living in poverty, 0.88 (0.84-0.92), black race, 0.83 (0.78-0.89); high school graduates, 1.22 (1.17-1.26); and unemployed, 0.90 (0.85-0.95). Conclusion Dialysis facility neighborhood characteristics may be modestly associated with facility rates of kidney transplantation. The success of dialysis facility interventions to improve access to kidney transplantation may partially depend on reducing neighborhood-level barriers. PMID:25196018

  7. Identifying Decadal to Multi-decadal Variability in the Pacific by Empirical Mode Decomposition

    NASA Astrophysics Data System (ADS)

    Sommers, L. A.; Hamlington, B.; Cheon, S. H.

    2016-12-01

    Large scale climate variability in the Pacific Ocean like that associated with ENSO and the Pacific Decadal Oscillation (PDO) has been shown to have a significant impact on climate and sea level across a range of timescales. The changes related to these climate signals have worldwide impacts on fisheries, weather, and precipitation patterns among others. Understanding these inter-annual to multi-decadal oscillations is imperative to longer term climate forecasts and understanding how climate will behave, and its effect on changes in sea level. With a 110-year reconstruction of sea level, we examine decadal to multi-decadal variability seen in the sea level fluctuations in the Pacific Ocean. Using empirical mode decomposition (EMD), we break down regional sea level into a series of intrinsic mode functions (IMFs) and attempt attribution of these IMFs to specific climate modes of variability. In particular, and not unexpectedly, we identify IMFs associated with the PDO, finding correlations between the PDO Index and IMFs in the Pacific Ocean upwards of 0.6-0.8 over the 110-year reconstructed record. Perhaps more significantly, we also find evidence of a longer multi-decadal signal ( 50-60 years) in the higher order IMFs. This lower frequency variability has been suggested in previous literature as influencing GMSL, but here we find a regional pattern associated with this multi-decadal signal. By identifying and separating these periodic climate signals, we can gain a better understanding of how the sea level variability associated with these modes can impact sea level on short timescales and serve to exacerbate the effects of long-term sea level change.

  8. Neighborhood-Level Social Processes and Substantiated Cases of Child Maltreatment

    PubMed Central

    Molnar, Beth E.; Goerge, Robert M.; Gilsanz, Paola; Hill, Andrea; Subramanian, SV; Holton, John K.; Duncan, Dustin T.; Beatriz, Elizabeth D.; Beardslee, William R.

    2015-01-01

    Child maltreatment is a preventable public health problem. Research has demonstrated that neighborhood structural factors (e.g. poverty, crime) can influence the proportion of a neighborhood’s children who are victims of maltreatment. A newer strategy is the identification of potentially modifiable social processes at the neighborhood level that can also influence maltreatment. Toward this end, this study examines neighborhood-level data (maltreatment cases substantiated by Illinois’ child protection agency, 1995–2005, social processes measured by the Project on Human Development in Chicago Neighborhoods, U.S. Census data, proportions of neighborhoods on public assistance, and crime data) that were linked across clusters of contiguous, relatively homogenous Chicago, IL census tracts with respect to racial/ethnic and socioeconomic composition. Our analysis—an ecological-level, repeated cross-sectional design utilizing random-intercept logit models— with a sensitivity analysis using spatial models to control for spatial autocorrelation – revealed consistent associations between neighborhood social processes and maltreatment. Neighborhoods higher in collective efficacy, intergenerational closure, and social networks, and lower in disorder had lower proportions of neglect, physical abuse, and sexual abuse substantiated cases, controlling for differences in structural factors. Higher collective efficacy and social network size also predicted a lower proportion of substance-exposed infants. This research indicates that strategies to mobilize neighborhood-level protective factors may decrease child maltreatment more effectively than individual and family-focused efforts alone. PMID:26684963

  9. Associations between health communication behaviors, neighborhood social capital, vaccine knowledge, and parents' H1N1 vaccination of their children.

    PubMed

    Jung, Minsoo; Lin, Leesa; Viswanath, K

    2013-10-01

    During the H1N1 pandemic in 2009-10, the vaccination behavior of parents played a critical role in preventing and containing the spread of the disease and the subsequent health outcomes among children. Several studies have examined the relationship between parents' health communication behaviors and vaccinations for children in general. Little is known, however, about the link between parents' health communication behaviors and the vaccination of their children against the H1N1 virus, and their level of vaccine-related knowledge. We drew on a national survey among parents with at least one child less than 18 years of age (n=639) to investigate Parents' H1N1-related health communication behaviors including sources of information, media exposure, information-seeking behaviors, H1N1-related knowledge, and neighborhood social capital, as well as the H1N1 vaccination rates of their children. Findings showed that there is a significant association between the degree at which parents obtained H1N1 vaccination for their children and health communication variables: watching the national television news and actively seeking H1N1 information. And this association was moderated by the extent of the parents' H1N1-related knowledge. In addition, the parents' degree of neighborhood social capital mediated the association between H1N1 knowledge of the parents and H1N1 vaccination acceptance for their children. We found, compared to those with a low-level of neighborhood social capital, parents who have a high-level of neighborhood social capital are more likely to vaccinate their children. These findings suggest that it is necessary to design a strategic health communication campaign segmented by parent health communication behaviors. Copyright © 2013 Elsevier Ltd. All rights reserved.

  10. Heat and Humidity in the City: Neighborhood Heat Index Variability in a Mid-Sized City in the Southeastern United States

    PubMed Central

    Hass, Alisa L.; Ellis, Kelsey N.; Reyes Mason, Lisa; Hathaway, Jon M.; Howe, David A.

    2016-01-01

    Daily weather conditions for an entire city are usually represented by a single weather station, often located at a nearby airport. This resolution of atmospheric data fails to recognize the microscale climatic variability associated with land use decisions across and within urban neighborhoods. This study uses heat index, a measure of the combined effects of temperature and humidity, to assess the variability of heat exposure from ten weather stations across four urban neighborhoods and two control locations (downtown and in a nearby nature center) in Knoxville, Tennessee, USA. Results suggest that trees may negate a portion of excess urban heat, but are also associated with greater humidity. As a result, the heat index of locations with more trees is significantly higher than downtown and areas with fewer trees. Trees may also reduce heat stress by shading individuals from incoming radiation, though this is not considered in this study. Greater amounts of impervious surfaces correspond with reduced evapotranspiration and greater runoff, in terms of overall mass balance, leading to a higher temperature, but lower relative humidity. Heat index and relative humidity were found to significantly vary between locations with different tree cover and neighborhood characteristics for the full study time period as well as for the top 10% of heat index days. This work demonstrates the need for high-resolution climate data and the use of additional measures beyond temperature to understand urban neighborhood exposure to extreme heat, and expresses the importance of considering vulnerability differences among residents when analyzing neighborhood-scale impacts. PMID:26761021

  11. Heat and Humidity in the City: Neighborhood Heat Index Variability in a Mid-Sized City in the Southeastern United States.

    PubMed

    Hass, Alisa L; Ellis, Kelsey N; Reyes Mason, Lisa; Hathaway, Jon M; Howe, David A

    2016-01-11

    Daily weather conditions for an entire city are usually represented by a single weather station, often located at a nearby airport. This resolution of atmospheric data fails to recognize the microscale climatic variability associated with land use decisions across and within urban neighborhoods. This study uses heat index, a measure of the combined effects of temperature and humidity, to assess the variability of heat exposure from ten weather stations across four urban neighborhoods and two control locations (downtown and in a nearby nature center) in Knoxville, Tennessee, USA. Results suggest that trees may negate a portion of excess urban heat, but are also associated with greater humidity. As a result, the heat index of locations with more trees is significantly higher than downtown and areas with fewer trees. Trees may also reduce heat stress by shading individuals from incoming radiation, though this is not considered in this study. Greater amounts of impervious surfaces correspond with reduced evapotranspiration and greater runoff, in terms of overall mass balance, leading to a higher temperature, but lower relative humidity. Heat index and relative humidity were found to significantly vary between locations with different tree cover and neighborhood characteristics for the full study time period as well as for the top 10% of heat index days. This work demonstrates the need for high-resolution climate data and the use of additional measures beyond temperature to understand urban neighborhood exposure to extreme heat, and expresses the importance of considering vulnerability differences among residents when analyzing neighborhood-scale impacts.

  12. Perceived neighborhood environment and physical activity among high school students from Curitiba, Brazil.

    PubMed

    Lopes, Adalberto Aparecido dos Santos; Lanzoni, Alessandra Nunes; Hino, Adriano Akira Ferreira; Rodriguez-Añez, Ciro Romélio; Reis, Rodrigo Siqueira

    2014-12-01

    To analyze the association between perceived neighborhood environment and physical activity (PA) in high school students from Curitiba (PR), Brazil. A sample of 1,611 high school students from public schools was surveyed. The PA was assessed through questions, engaged for at least 20 minutes or 60 minutes. Perceptions on neighborhood environment were assessed through ten questions about neighborhood characteristics. Gender, age and number of cars in the household were self-reported and used as confounding variables. Absolute and relative frequencies were used in the sample, and associations were tested through adjusted logistic regressions for the confounding variables and stratified by gender (p < 0.05). The adjusted analyses showed that the variables "interesting things" among girls (OR = 1.77; 95%CI 1.05 - 2.96) and "there are places I like" (OR = 2.18; 95%CI 1.33 - 3.58) and "I see people my age", among boys, were associated with PA of at least 20 minutes/day once a week. Additionally, among boys, "I see people my age" was associated with 60-minute (OR = 1.68; 95%CI 1.15 - 2.45). Perceiving the neighborhood environment as "very good" was associated with higher chances of taking up PA among girls (OR = 1.92; 95%CI 1.15 - 3.22) and boys (OR = 3.13; 95%CI 1.97 - 4.97). A positive perception of the environment was associated to PA practice among boys and girls in this sample. The results suggest that some environmental characteristics which make neighborhoods more attractive could be related to PA among adolescents.

  13. Tract- and County-Level Income Inequality and Individual Risk of Obesity in the United States

    PubMed Central

    Fan, Jessie X.; Wen, Ming; Kowaleski-Jones, Lori

    2015-01-01

    Objectives We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Methods Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003–2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. Results At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Conclusions Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. PMID:26680289

  14. Tract- and county-level income inequality and individual risk of obesity in the United States.

    PubMed

    Fan, Jessie X; Wen, Ming; Kowaleski-Jones, Lori

    2016-01-01

    We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003-2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. Recognizing Spoken Words: The Neighborhood Activation Model

    PubMed Central

    Luce, Paul A.; Pisoni, David B.

    2012-01-01

    Objective A fundamental problem in the study of human spoken word recognition concerns the structural relations among the sound patterns of words in memory and the effects these relations have on spoken word recognition. In the present investigation, computational and experimental methods were employed to address a number of fundamental issues related to the representation and structural organization of spoken words in the mental lexicon and to lay the groundwork for a model of spoken word recognition. Design Using a computerized lexicon consisting of transcriptions of 20,000 words, similarity neighborhoods for each of the transcriptions were computed. Among the variables of interest in the computation of the similarity neighborhoods were: 1) the number of words occurring in a neighborhood, 2) the degree of phonetic similarity among the words, and 3) the frequencies of occurrence of the words in the language. The effects of these variables on auditory word recognition were examined in a series of behavioral experiments employing three experimental paradigms: perceptual identification of words in noise, auditory lexical decision, and auditory word naming. Results The results of each of these experiments demonstrated that the number and nature of words in a similarity neighborhood affect the speed and accuracy of word recognition. A neighborhood probability rule was developed that adequately predicted identification performance. This rule, based on Luce's (1959) choice rule, combines stimulus word intelligibility, neighborhood confusability, and frequency into a single expression. Based on this rule, a model of auditory word recognition, the neighborhood activation model, was proposed. This model describes the effects of similarity neighborhood structure on the process of discriminating among the acoustic-phonetic representations of words in memory. The results of these experiments have important implications for current conceptions of auditory word recognition in normal and hearing impaired populations of children and adults. PMID:9504270

  16. An Exploratory Study Examining the Spatial Dynamics of Illicit Drug Availability and Rates of Drug Use

    ERIC Educational Resources Information Center

    Freisthler, Bridget; Gruenewald, Paul J.; Johnson, Fred W.; Treno, Andrew J.; Lascala, Elizabeth A.

    2005-01-01

    This study examines the spatial relationship between drug availability and rates of drug use in neighborhood areas. Responses from 16,083 individuals were analyzed at the zip code level (n = 158) and analyses were conducted separately for youth and adults using spatial regression techniques. The dependent variable is the percentage of respondents…

  17. Associations Between the Built Environment and Objective Measures of Sleep: The Multi-Ethnic Study of Atherosclerosis.

    PubMed

    Johnson, Dayna A; Hirsch, Jana A; Moore, Kari A; Redline, Susan; Diez Roux, Ana V

    2018-05-01

    Although dense neighborhood built environments support increased physical activity and lower obesity, these features may also disturb sleep. Therefore, we sought to understand the association between the built environment and objectively measured sleep. From 2010 to 2013, we analyzed data from examination 5 of the Multi-Ethnic Study of Atherosclerosis, a diverse population from 6 US cities. We fit multilevel models that assessed the association between the built environment (Street Smart Walk Score, social engagement destinations, street intersections, and population density) and sleep duration or efficiency from 1-week wrist actigraphy in 1,889 individuals. After adjustment for covariates, a 1-standard-deviation increase in Street Smart Walk Score was associated with 23% higher odds of short sleep duration (≤6 hours; odds ratio = 1.2, 95% confidence interval: 1.0, 1.4), as well as shorter average sleep duration (mean difference = -8.1 minutes, 95% confidence interval: -12.1, -4.2). Results were consistent across other built environment measures. Associations were attenuated after adjustment for survey-based measure of neighborhood noise. Dense neighborhood development may have multiple health consequence. In promoting denser neighborhoods to increase walkability, it is important to also implement strategies that reduce the adverse impacts of this development on sleep, such as noise reductions efforts.

  18. Changes in walking associated with perceived neighborhood safety and police-recorded crime: The multi-ethnic study of atherosclerosis.

    PubMed

    Kerr, Zachary; Evenson, Kelly R; Moore, Kari; Block, Richard; Diez Roux, Ana V

    2015-04-01

    To explore the association of changes in perceived safety and police-recorded crime with changes in transport and leisure walking using longitudinal data from Chicago residents participating in the Multi-Ethnic Study of Atherosclerosis (2000-2012). Main exposures included perceived safety (self-reported as feeling safe walking in the neighborhood and reporting violence to be a problem in the neighborhood), and one-year counts of police-recorded crime occurring within a one-mile buffer of participants' residences. Main outcomes included transport and leisure walking (self-reported and calculated as total minutes/week across four study visits). Fixed effects models assessed the association of change in perceived safety and police-recorded crime with changes in transport and leisure walking over a 10-year period for 796 adults. No associations were found between changes in perceived safety and either changes in transport or leisure walking. Residing in areas with increases in murder was associated with decreases in transport walking. However, no other associations were found with police-recorded crime. There continues to be a need to explore the benefits of cultivating safe neighborhoods that enhance resident health and well-being. Research should continue examining how community initiatives may build safe environments and community identity that promote walking. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. Risk versus direct protective factors and youth violence: Seattle social development project.

    PubMed

    Herrenkohl, Todd I; Lee, Jungeun; Hawkins, J David

    2012-08-01

    Numerous studies have examined predictors of youth violence associated with the individual child, the family, school, and the surrounding neighborhood or community. However, few studies have examined predictors using a systematic approach to differentiate and compare risk and direct protective factors. This study examines risk and protective factors associated with youth violence in an ongoing longitudinal panel study of 808 students from 18 Seattle public elementary schools followed since 1985 when they were in 5th grade. Predictors span the individual, family, school, peer, and neighborhood domains. Data were collected annually, beginning in 1985, to age 16 years, and then again at age 18 years. This paper provides findings of analyses in which continuous predictor variables, measured at ages 10-12 years, were trichotomized to reflect a risk end of the variable, a direct protective end, and a middle category of scores. Youth violence was measured at ages 13-14 years and 15-18 years. Bivariate analyses of risk and direct protective factors identified the following predictors of violence at ages 13-14 years and 15-18 years. Risk for violence was increased by earlier antisocial behavior (e.g., prior violence, truancy, nonviolent delinquency), attention problems, family conflict, low school commitment, and living in a neighborhood where young people were in trouble. Direct protective factors at ages 10-12 years include a low level of attention problems, low risk-taking, refusal skills, school attachment, and low access and exposure to marijuana at ages 10-12 years. Multivariate regressions showed neighborhood risk factors to be among the most salient and consistent predictors of violence after accounting for all other variables in the tested models. Relatively few direct protective factors were identified in these statistical tests, suggesting the need for further review and possible refinement of the measures and methods that were applied. Implications provide important information for programs and policy. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  20. Multi-decadal trend and space-time variability of sea level over the Indian Ocean since the 1950s: impact of decadal climate modes

    NASA Astrophysics Data System (ADS)

    Han, W.; Stammer, D.; Meehl, G. A.; Hu, A.; Sienz, F.

    2016-12-01

    Sea level varies on decadal and multi-decadal timescales over the Indian Ocean. The variations are not spatially uniform, and can deviate considerably from the global mean sea level rise (SLR) due to various geophysical processes. One of these processes is the change of ocean circulation, which can be partly attributed to natural internal modes of climate variability. Over the Indian Ocean, the most influential climate modes on decadal and multi-decadal timescales are the Interdecadal Pacific Oscillation (IPO) and decadal variability of the Indian Ocean dipole (IOD). Here, we first analyze observational datasets to investigate the impacts of IPO and IOD on spatial patterns of decadal and interdecadal (hereafter decal) sea level variability & multi-decadal trend over the Indian Ocean since the 1950s, using a new statistical approach of Bayesian Dynamical Linear regression Model (DLM). The Bayesian DLM overcomes the limitation of "time-constant (static)" regression coefficients in conventional multiple linear regression model, by allowing the coefficients to vary with time and therefore measuring "time-evolving (dynamical)" relationship between climate modes and sea level. For the multi-decadal sea level trend since the 1950s, our results show that climate modes and non-climate modes (the part that cannot be explained by climate modes) have comparable contributions in magnitudes but with different spatial patterns, with each dominating different regions of the Indian Ocean. For decadal variability, climate modes are the major contributors for sea level variations over most region of the tropical Indian Ocean. The relative importance of IPO and decadal variability of IOD, however, varies spatially. For example, while IOD decadal variability dominates IPO in the eastern equatorial basin (85E-100E, 5S-5N), IPO dominates IOD in causing sea level variations in the tropical southwest Indian Ocean (45E-65E, 12S-2S). To help decipher the possible contribution of external forcing to the multi-decadal sea level trend and decadal variability, we also analyze the model outputs from NCAR's Community Earth System Model (CESM) Large Ensemble Experiments, and compare the results with our observational analyses.

  1. Neighborhood Concentrated Disadvantage and Dating Violence among Urban Adolescents: The Mediating Role of Neighborhood Social Processes.

    PubMed

    Garthe, Rachel C; Gorman-Smith, Deborah; Gregory, Joshua; E Schoeny, Michael

    2018-06-01

    The link between relationship violence and aspects of neighborhood concentrated disadvantage (e.g., percent of unemployed adults, percent of families below poverty level), has been established. However, the literature examining neighborhood social processes, including informal social control and social cohesion, in relation to adolescent dating violence has shown mixed results with a limited theoretical foundation and methodology. Using a social disorganization theoretical framework, this study examined the mediating role of these neighborhood social processes in the relation between concentrated disadvantage and adolescent dating violence within an urban context. Participants included 605 adult residents in 30 census tracts and 203 adolescents from neighborhoods on the West and South sides of Chicago. Neighborhood-level concentrated disadvantage was measured via Census data, adult residents reported on neighborhood social processes, and youth reported on dating violence. Informal social control was negatively associated with dating violence, and social cohesion was positively associated with dating violence. A multilevel mediation model showed that concentrated disadvantage was related to higher levels of dating violence via lower levels of informal social control. These results extend social disorganization theory to dating violence within an urban context, while also highlighting the important role of neighborhood processes on relationship violence. Implications for research and intervention programming are discussed. © Society for Community Research and Action 2018.

  2. A spatially filtered multilevel model to account for spatial dependency: application to self-rated health status in South Korea

    PubMed Central

    2014-01-01

    Background This study aims to suggest an approach that integrates multilevel models and eigenvector spatial filtering methods and apply it to a case study of self-rated health status in South Korea. In many previous health-related studies, multilevel models and single-level spatial regression are used separately. However, the two methods should be used in conjunction because the objectives of both approaches are important in health-related analyses. The multilevel model enables the simultaneous analysis of both individual and neighborhood factors influencing health outcomes. However, the results of conventional multilevel models are potentially misleading when spatial dependency across neighborhoods exists. Spatial dependency in health-related data indicates that health outcomes in nearby neighborhoods are more similar to each other than those in distant neighborhoods. Spatial regression models can address this problem by modeling spatial dependency. This study explores the possibility of integrating a multilevel model and eigenvector spatial filtering, an advanced spatial regression for addressing spatial dependency in datasets. Methods In this spatially filtered multilevel model, eigenvectors function as additional explanatory variables accounting for unexplained spatial dependency within the neighborhood-level error. The specification addresses the inability of conventional multilevel models to account for spatial dependency, and thereby, generates more robust outputs. Results The findings show that sex, employment status, monthly household income, and perceived levels of stress are significantly associated with self-rated health status. Residents living in neighborhoods with low deprivation and a high doctor-to-resident ratio tend to report higher health status. The spatially filtered multilevel model provides unbiased estimations and improves the explanatory power of the model compared to conventional multilevel models although there are no changes in the signs of parameters and the significance levels between the two models in this case study. Conclusions The integrated approach proposed in this paper is a useful tool for understanding the geographical distribution of self-rated health status within a multilevel framework. In future research, it would be useful to apply the spatially filtered multilevel model to other datasets in order to clarify the differences between the two models. It is anticipated that this integrated method will also out-perform conventional models when it is used in other contexts. PMID:24571639

  3. Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins.

    PubMed

    Wan, Shibiao; Mak, Man-Wai; Kung, Sun-Yuan

    2016-12-02

    In the postgenomic era, the number of unreviewed protein sequences is remarkably larger and grows tremendously faster than that of reviewed ones. However, existing methods for protein subchloroplast localization often ignore the information from these unlabeled proteins. This paper proposes a multi-label predictor based on ensemble linear neighborhood propagation (LNP), namely, LNP-Chlo, which leverages hybrid sequence-based feature information from both labeled and unlabeled proteins for predicting localization of both single- and multi-label chloroplast proteins. Experimental results on a stringent benchmark dataset and a novel independent dataset suggest that LNP-Chlo performs at least 6% (absolute) better than state-of-the-art predictors. This paper also demonstrates that ensemble LNP significantly outperforms LNP based on individual features. For readers' convenience, the online Web server LNP-Chlo is freely available at http://bioinfo.eie.polyu.edu.hk/LNPChloServer/ .

  4. Spatial-temporal modeling of neighborhood sociodemographic characteristics and food stores.

    PubMed

    Lamichhane, Archana P; Warren, Joshua L; Peterson, Marc; Rummo, Pasquale; Gordon-Larsen, Penny

    2015-01-15

    The literature on food stores, neighborhood poverty, and race/ethnicity is mixed and lacks methods of accounting for complex spatial and temporal clustering of food resources. We used quarterly data on supermarket and convenience store locations from Nielsen TDLinx (Nielsen Holdings N.V., New York, New York) spanning 7 years (2006-2012) and census tract-based neighborhood sociodemographic data from the American Community Survey (2006-2010) to assess associations between neighborhood sociodemographic characteristics and food store distributions in the Metropolitan Statistical Areas (MSAs) of 4 US cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and San Francisco, California). We fitted a space-time Poisson regression model that accounted for the complex spatial-temporal correlation structure of store locations by introducing space-time random effects in an intrinsic conditionally autoregressive model within a Bayesian framework. After accounting for census tract-level area, population, their interaction, and spatial and temporal variability, census tract poverty was significantly and positively associated with increasing expected numbers of supermarkets among tracts in all 4 MSAs. A similar positive association was observed for convenience stores in Birmingham, Minneapolis, and San Francisco; in Chicago, a positive association was observed only for predominantly white and predominantly black tracts. Our findings suggest a positive association between greater numbers of food stores and higher neighborhood poverty, with implications for policy approaches related to food store access by neighborhood poverty. © The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  5. Change in neighborhood disadvantage and change in smoking behaviors in adults: a longitudinal, within-individual study

    PubMed Central

    Halonen, Jaana I; Pulakka, Anna; Stenholm, Sari; Pentti, Jaana; Kawachi, Ichiro; Kivimäki, Mika; Vahtera, Jussi

    2017-01-01

    Background Evidence for an association between neighborhood disadvantage and smoking is mixed and mainly based on cross-sectional studies. To shed light on the causality of this association we examined whether change in neighborhood socioeconomic disadvantage is associated with within-individual change in smoking behaviors. Methods The study population comprised participants of the Finnish Public Sector study who reported a change in their smoking behavior between surveys in 2008/09 and 2012/13. We linked participants’ residential addresses to a total population database on neighborhood disadvantage with 250×250m resolution. The outcome variables were changes in smoking status (being a smoker vs. not) as well as the intensity (heavy/moderate vs. light smoker). We used longitudinal case-crossover design, a method that accounts for time-invariant confounders by design. We adjusted models for time-varying covariates. Results Of the 3443 participants, 1714 quit while 967 began to smoke between surveys. Smoking intensity increased among 398 and decreased among 364 participants. The level of neighborhood disadvantage changed for 1078 participants because they moved residence. Increased disadvantage was associated with increased odds of being a smoker (odds ratio (OR) of taking up smoking 1.23 (95% CI 1.04-1.47) per 1 standard deviation (SD) increase in standardized national disadvantage score). OR for being a heavy/moderate (vs. light) smoker was 1.14 (95% CI 0.85-1.52) when disadvantage increased by 1 SD. Conclusions These within-individual results link an increase in neighborhood socioeconomic disadvantage, due to move in residence, with subsequent smoking behaviors. PMID:27337178

  6. Is There a Relationship Between the Concentration of Same-Sex Couples and Tobacco Retailer Density?

    PubMed Central

    Pan, William K.; Henriksen, Lisa; Goldstein, Adam O.; Ribisl, Kurt M.

    2016-01-01

    Background: Tobacco use is markedly higher among lesbian, gay, and bisexual populations than heterosexuals. Higher density of tobacco retailers is found in neighborhoods with lower income and more racial/ethnic minorities. Same-sex couples tend to live in similar neighborhoods, but the association of this demographic with tobacco retailer density has not been examined. Methods: For a national sample of 97 US counties, we calculated the number of tobacco retailers per 1000 persons and rates of same-sex couples per 1000 households in each census tract (n = 17 941). Using spatial regression, we examined the association of these variables in sex-stratified models, including neighborhood demographics and other environmental characteristics to examine confounding. Results: Results from spatial regression show that higher rates of both female and male same-sex couples were associated with a higher density of tobacco retailers. However the magnitude of this association was small. For female couples, the association was not significant after controlling for area-level characteristics, such as percent black, percent Hispanic, median household income, the presence of interstate highways, and urbanicity, which are neighborhood correlates of higher tobacco retailer density. For male couples, the association persisted after control for these characteristics. Conclusion: Same-sex couples reside in areas with higher tobacco retailer density, and for men, this association was not explained by neighborhood confounders, such as racial/ethnic composition and income. While lesbian, gay, and bisexual disparities in tobacco use may be influenced by neighborhood environment, the magnitude of the association suggests other explanations of these disparities remain important areas of research. PMID:25744959

  7. Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion.

    PubMed

    Babaei, Sepideh; Hulsman, Marc; Reinders, Marcel; de Ridder, Jeroen

    2013-01-23

    Delineating the molecular drivers of cancer, i.e. determining cancer genes and the pathways which they deregulate, is an important challenge in cancer research. In this study, we aim to identify pathways of frequently mutated genes by exploiting their network neighborhood encoded in the protein-protein interaction network. To this end, we introduce a multi-scale diffusion kernel and apply it to a large collection of murine retroviral insertional mutagenesis data. The diffusion strength plays the role of scale parameter, determining the size of the network neighborhood that is taken into account. As a result, in addition to detecting genes with frequent mutations in their genomic vicinity, we find genes that harbor frequent mutations in their interaction network context. We identify densely connected components of known and putatively novel cancer genes and demonstrate that they are strongly enriched for cancer related pathways across the diffusion scales. Moreover, the mutations in the clusters exhibit a significant pattern of mutual exclusion, supporting the conjecture that such genes are functionally linked. Using multi-scale diffusion kernel, various infrequently mutated genes are found to harbor significant numbers of mutations in their interaction network neighborhood. Many of them are well-known cancer genes. The results demonstrate the importance of defining recurrent mutations while taking into account the interaction network context. Importantly, the putative cancer genes and networks detected in this study are found to be significant at different diffusion scales, confirming the necessity of a multi-scale analysis.

  8. Housing, the Neighborhood Environment, and Physical Activity among Older African Americans

    PubMed Central

    Hannon, Lonnie; Sawyer, Patricia; Allman, Richard M.

    2013-01-01

    This study examines the association of neighborhood environment, as measured by housing factors, with physical activity among older African Americans. Context is provided on the effects of structural inequality as an inhibitor of health enhancing neighborhood environments. The study population included African Americans participating in the UAB Study of Aging (n=433). Participants demonstrated the ability to walk during a baseline in-home assessment. The strength and independence of housing factors were assessed using neighborhood walking for exercise as the outcome variable. Sociodemographic data, co-morbid medical conditions, and rural/urban residence were included as independent control factors. Homeownership, occupancy, and length of residency maintained positive associations with neighborhood walking independent of control factors. Housing factors appear to be predictive of resident engagement in neighborhood walking. Housing factors, specifically high rates of homeownership, reflect functional and positive neighborhood environments conducive for physical activity. Future interventions seeking to promote health-enhancing behavior should focus on developing housing and built-environment assets within the neighborhood environment. PMID:23745172

  9. The Roles of Perceived Neighborhood Disorganization, Social Cohesion, and Social Control in Urban Thai Adolescents' Substance Use and Delinquency.

    PubMed

    Byrnes, Hilary F; Miller, Brenda A; Chamratrithirong, Aphichat; Rhucharoenpornpanich, Orratai; Cupp, Pamela K; Atwood, Katharine A; Fongkaew, Warunee; Rosati, Michael J; Chookhare, Warunee

    2013-08-06

    Substance use and delinquency in Thai adolescents are growing public health concerns. Research has linked neighborhood characteristics to these outcomes, with explanations focused on neighborhood disorganization, social cohesion, and social control. This study examines the independent associations of these neighborhood constructs with Thai adolescents' substance use and delinquency, through peer deviance, to determine which neighborhood aspects are particularly important. Families (N=420) with adolescents aged 13-14 were randomly selected from 7 districts in Bangkok, Thailand. Structural equation modeling showed that adolescents', but not parents', perceptions of greater disorganization were related to increased rates of both minor and serious delinquency. Surprisingly, greater neighborhood cohesion was related to greater minor delinquency. Peer deviance was unrelated to neighborhood variables. Findings can inform prevention strategies for Thai adolescents, as results suggest that neighborhoods are important for adolescent behaviors regardless of culture. Further work should help communities make use of social cohesion to benefit residents.

  10. The Roles of Perceived Neighborhood Disorganization, Social Cohesion, and Social Control in Urban Thai Adolescents’ Substance Use and Delinquency

    PubMed Central

    Byrnes, Hilary F.; Miller, Brenda A.; Chamratrithirong, Aphichat; Rhucharoenpornpanich, Orratai; Cupp, Pamela K.; Atwood, Katharine A.; Fongkaew, Warunee; Rosati, Michael J.; Chookhare, Warunee

    2011-01-01

    Substance use and delinquency in Thai adolescents are growing public health concerns. Research has linked neighborhood characteristics to these outcomes, with explanations focused on neighborhood disorganization, social cohesion, and social control. This study examines the independent associations of these neighborhood constructs with Thai adolescents’ substance use and delinquency, through peer deviance, to determine which neighborhood aspects are particularly important. Families (N=420) with adolescents aged 13–14 were randomly selected from 7 districts in Bangkok, Thailand. Structural equation modeling showed that adolescents’, but not parents’, perceptions of greater disorganization were related to increased rates of both minor and serious delinquency. Surprisingly, greater neighborhood cohesion was related to greater minor delinquency. Peer deviance was unrelated to neighborhood variables. Findings can inform prevention strategies for Thai adolescents, as results suggest that neighborhoods are important for adolescent behaviors regardless of culture. Further work should help communities make use of social cohesion to benefit residents. PMID:24465060

  11. A real-time automated quality control of rain gauge data based on multiple sensors

    NASA Astrophysics Data System (ADS)

    qi, Y.; Zhang, J.

    2013-12-01

    Precipitation is one of the most important meteorological and hydrological variables. Automated rain gauge networks provide direct measurements of precipitation and have been used for numerous applications such as generating regional and national precipitation maps, calibrating remote sensing data, and validating hydrological and meteorological model predictions. Automated gauge observations are prone to a variety of error sources (instrument malfunction, transmission errors, format changes), and require careful quality controls (QC). Many previous gauge QC techniques were based on neighborhood checks within the gauge network itself and the effectiveness is dependent on gauge densities and precipitation regimes. The current study takes advantage of the multi-sensor data sources in the National Mosaic and Multi-Sensor QPE (NMQ/Q2) system and developes an automated gauge QC scheme based the consistency of radar hourly QPEs and gauge observations. Error characteristics of radar and gauge as a function of the radar sampling geometry, precipitation regimes, and the freezing level height are considered. The new scheme was evaluated by comparing an NMQ national gauge-based precipitation product with independent manual gauge observations. Twelve heavy rainfall events from different seasons and areas of the United States are selected for the evaluation, and the results show that the new NMQ product with QC'ed gauges has a more physically spatial distribution than the old product. And the new product agrees much better statistically with the independent gauges.

  12. Understanding the Independent and Joint Associations of the Home and Workplace Built Environments on Cardiorespiratory Fitness and Body Mass Index

    PubMed Central

    Hoehner, Christine M.; Allen, Peg; Barlow, Carolyn E.; Marx, Christine M.; Brownson, Ross C.; Schootman, Mario

    2013-01-01

    This observational study examined the associations of built environment features around the home and workplace with cardiorespiratory fitness (CRF) based on a treadmill test and body mass index (BMI) (weight (kg)/height (m)2). The study included 8,857 adults aged 20–88 years who completed a preventive medical examination in 2000–2007 while living in 12 Texas counties. Analyses examining workplace neighborhood characteristics included a subset of 4,734 participants. Built environment variables were derived around addresses by using geographic information systems. Models were adjusted for individual-level and census block group–level demographics and socioeconomic status, smoking, BMI (in CRF models), and all other home or workplace built environment variables. CRF was associated with higher intersection density, higher number of private exercise facilities around the home and workplace, larger area of vegetation around the home, and shorter distance to the closest city center. Aside from vegetation, these same built environment features around the home were also associated with BMI. Participants who lived and worked in neighborhoods in the lowest tertiles for intersection density and the number of private exercise facilities had lower CRF and higher BMI values than participants who lived and worked in higher tertiles for these variables. This study contributes new evidence to suggest that built environment features around homes and workplaces may affect health. PMID:23942215

  13. Social cohesion and self-rated health: The moderating effect of neighborhood physical disorder.

    PubMed

    Bjornstrom, Eileen E S; Ralston, Margaret L; Kuhl, Danielle C

    2013-12-01

    Using data from the Los Angeles Family and Neighborhood Survey and its companion datasets, we examined how neighborhood disorder, perceived danger and both individually perceived and contextually measured neighborhood social cohesion are associated with self-rated health. Results indicate that neighborhood disorder is negatively associated with health and the relationship is explained by perceived cohesion and danger, which are both also significant predictors of health. Further, individually perceived cohesion emerges as a more important explanation of self-rated health than neighborhood-level social cohesion. Finally, neighborhood disorder and perceived cohesion interact to influence health, such that cohesion is especially beneficial when residents live in neighborhoods characterized by low to moderate disorder; once disorder is at high levels, cohesion no longer offers protection against poor health. We interpret our findings as they relate to prior research on neighborhoods, psychosocial processes, and health, and discuss their implications for intervention efforts that address disorder in urban communities.

  14. Contribution of the Neighborhood Environment and Obesity to Breast Cancer Survival: The California Breast Cancer Survivorship Consortium

    PubMed Central

    Cheng, Iona; Shariff-Marco, Salma; Koo, Jocelyn; Monroe, Kristine R.; Yang, Juan; John, Esther M.; Kurian, Allison W.; Kwan, Marilyn L.; Henderson, Brian E.; Bernstein, Leslie; Lu, Yani; Sposto, Richard; Vigen, Cheryl; Wu, Anna H.; Gomez, Scarlett Lin; Keegan, Theresa H.M.

    2015-01-01

    Little is known about neighborhood attributes that may influence opportunities for healthy eating and physical activity in relation to breast cancer mortality. We used data from the California Breast Cancer Survivorship Consortium and the California Neighborhoods Data System to examine the neighborhood environment, body mass index, and mortality after breast cancer. We studied 8,995 African American, Asian American, Latina, and non-Latina White women with breast cancer. Residential addresses were linked to the CNDS to characterize neighborhoods. We used multinomial logistic regression to evaluate the associations between neighborhood factors and obesity, and Cox proportional hazards regression to examine associations between neighborhood factors and mortality. For Latinas, obesity was associated with more neighborhood crowding (Quartile 4 (Q4) vs. Q1: Odds Ratio (OR)=3.24; 95% Confidence Interval (CI): 1.50-7.00); breast cancer-specific mortality was inversely associated with neighborhood businesses (Q4 vs. Q1: Hazard Ratio (HR)=0.46; 95% CI: 0.25-0.85) and positively associated with multi-family housing (Q3 vs. Q1: HR=1.98; 95% CI: 1.20-3.26). For non-Latina Whites, lower neighborhood socioeconomic status (SES) was associated with obesity (Quintile 1 (Q1) vs. Q5: OR=2.52; 95% CI: 1.31-4.84), breast cancer-specific (Q1 vs. Q5: HR=2.75; 95% CI: 1.47-5.12), and all-cause (Q1 vs. Q5: HR=1.75; 95% CI: 1.17-2.62) mortality. For Asian Americans, no associations were seen. For African Americans, lower neighborhood SES was associated with lower mortality in a nonlinear fashion. Attributes of the neighborhood environment were associated with obesity and mortality following breast cancer diagnosis, but these associations differed across racial/ethnic groups. PMID:26063477

  15. Detecting neighborhood vacancy level in Detroit city using remote sensing

    NASA Astrophysics Data System (ADS)

    Li, X.; Wang, R.; Yang, A.; Vojnovic, I.

    2015-12-01

    With the decline of manufacturing industries, many Rust Belt cities, which enjoyed prosperity in the past, are now suffering from financial stress, population decrease and urban poverty. As a consequence, urban neighborhoods deteriorate. Houses are abandoned and left to decay. Neighborhood vacancy brings on many problems. Governments and agencies try to survey the vacancy level by going through neighborhoods and record the condition of each structure, or by buying information of active mailing addresses to get approximate neighborhood vacancy rate. But these methods are expensive and time consuming. Remote sensing provides a quick and comparatively cost-efficient way to access spatial information on social and demographical attributes of urban area. In our study, we use remote sensing to detect a major aspect of neighborhood deterioration, the vacancy levels of neighborhoods in Detroit city. We compared different neighborhoods using Landsat 8 images in 2013. We calculated NDVI that indicates the greenness of neighborhoods with the image in July 2013. Then we used thermal infrared information from image in February to detect human activities. In winter, abandoned houses will not consume so much energy and therefore neighborhoods with more abandoned houses will have smaller urban heat island effect. Controlling for the differences in terms of the greenness obtained from summer time image, we used thermal infrared from winter image to determine the temperatures of urban surface. We find that hotter areas are better maintained and have lower house vacancy rates. We also compared the changes over time for neighborhoods using Landsat 7 images from 2003 to 2013. The results show that deteriorated neighborhoods have increased NDVI in summer and get colder in winter due to abandonment of houses. Our results show the potential application of remote sensing as an easily accessed and efficient way to obtain data about social conditions in cities. We used the neighborhood vacancy survey data for Detroit data (2013-2014) to validate the results of vacancy levels of local neighborhood.

  16. PREDICTING RECIDIVISM FOR RELEASED STATE PRISON OFFENDERS

    PubMed Central

    Stahler, Gerald J.; Mennis, Jeremy; Belenko, Steven; Welsh, Wayne N.; Hiller, Matthew L.; Zajac, Gary

    2013-01-01

    We examined the influence of individual and neighborhood characteristics and spatial contagion in predicting reincarceration on a sample of 5,354 released Pennsylvania state prisoners. Independent variables included demographic characteristics, offense type, drug involvement, various neighborhood variables (e.g., concentrated disadvantage, residential mobility), and spatial contagion (i.e., proximity to others who become reincarcerated). Using geographic information systems (GIS) and logistic regression modeling, our results showed that the likelihood of reincarceration was increased with male gender, drug involvement, offense type, and living in areas with high rates of recidivism. Older offenders and those convicted of violent or drug offenses were less likely to be reincarcerated. For violent offenders, drug involvement, age, and spatial contagion were particular risk factors for reincarceration. None of the neighborhood environment variables were associated with increased risk of reincarceration. Reentry programs need to particularly address substance abuse issues of ex-offenders as well as take into consideration their residential locations. PMID:24443612

  17. Neighborhood-Level Interventions to Improve Childhood Opportunity and Lift Children Out of Poverty.

    PubMed

    Sandel, Megan; Faugno, Elena; Mingo, Angela; Cannon, Jessie; Byrd, Kymberly; Garcia, Dolores Acevedo; Collier, Sheena; McClure, Elizabeth; Boynton-Jarrett, Renée

    2016-04-01

    Population health is associated with the socioeconomic characteristics of neighborhoods. There is considerable scientific and policy interest in community-level interventions to alleviate child poverty. Intergenerational poverty is associated with inequitable access to opportunities. Improving opportunity structures within neighborhoods may contribute to improved child health and development. Neighborhood-level efforts to alleviate poverty for all children require alignment of cross-sector efforts, community engagement, and multifactorial approaches that consider the role of people as well as place. We highlight several accessible tools and strategies that health practitioners can engage to improve regional and local systems that influence child opportunity. The Child Opportunity Index is a population-level surveillance tool to describe community-level resources and inequities in US metropolitan areas. The case studies reviewed outline strategies for creating higher opportunity neighborhoods for pediatricians interested in working across sectors to address the impact of neighborhood opportunity on child health and well-being. Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  18. How neighborhood structural and institutional features can shape neighborhood social connectedness: a multilevel study of adolescent perceptions.

    PubMed

    Lenzi, Michela; Vieno, Alessio; Santinello, Massimo; Perkins, Douglas D

    2013-06-01

    According to the norms and collective efficacy model, the levels of social connectedness within a local community are a function of neighborhood structural characteristics, such as socioeconomic status and ethnic composition. The current work aims to determine whether neighborhood structural and institutional features (neighborhood wealth, percentage of immigrants, population density, opportunities for activities and meeting places) have an impact on different components of neighborhood social connectedness (intergenerational closure, trust and reciprocity, neighborhood-based friendship and personal relationships with neighbors). The study involved a representative sample of 389 early and middle adolescents aged 11-15 years old, coming from 31 Italian neighborhoods. Using hierarchical linear modeling, our findings showed that high population density, ethnic diversity, and physical and social disorder might represent obstacles for the creation of social ties within the neighborhood. On the contrary, the presence of opportunities for activities and meeting places in the neighborhood was associated with higher levels of social connectedness among residents.

  19. Individual educational attainment, neighborhood-socioeconomic contexts, and self-rated health of middle-aged and elderly Chinese: Exploring the mediating role of social engagement.

    PubMed

    Zhang, Wei; Wu, Yan Yan

    2017-03-01

    Analyzing the 2011-2013 China Health and Retirement Longitudinal Study with 14,507 respondents from 393 neighborhoods, and applying generalized linear mixed-effects model, this study examines how individual-level education and neighborhood-socioeconomic contexts affect health through social engagement. Findings reveal that measures of social engagement-social activity and productive activity-are significantly related to self-rated health and partially mediate the effects of individual-level education. Neighborhood-socioeconomic contexts have independent effects on self-rated health beyond individual socio-demographics, and social activity mediates the effects of neighborhood recreational facilities. This study is among the first to simultaneously explore the health effects of individual and neighborhood-level socioeconomic conditions. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Individual, family, and neighborhood factors distinguish resilient from non-resilient maltreated children: A cumulative stressors model

    PubMed Central

    Caspi, Avshalom; Moffitt, Terrie E.; Polo-Tomas, Monica; Taylor, Alan

    2007-01-01

    Objective Children who are physically maltreated are at risk of a range of adverse outcomes in childhood and adulthood, but some children who are maltreated manage to function well despite their history of adversity. Which individual, family, and neighborhood characteristics distinguish resilient from non-resilient maltreated children? Do children’s individual strengths promote resilience even when children are exposed to multiple family and neighborhood stressors (cumulative stressors model)? Methods Data were from the Environmental Risk Longitudinal Study which describes a nationally-representative sample of 1,116 twin pairs and their families. Families were home-visited when the twins were 5 and 7 years old, and teachers provided information about children’s behavior at school. Interviewers rated the likelihood that children had been maltreated based on mothers’ reports of harm to the child and child welfare involvement with the family. Results: Resilient children were those who engaged in normative levels of antisocial behavior despite having been maltreated. Boys (but not girls) who had above-average intelligence and whose parents had relatively few symptoms of antisocial personality were more likely to be resilient versus non-resilient to maltreatment. Children whose parents had substance use problems and who lived in relatively high crime neighborhoods that were low on social cohesion and informal social control were less likely to be resilient versus non-resilient to maltreatment. Consistent with a cumulative stressors model of children’s adaptation, individual strengths distinguished resilient from non-resilient children under conditions of low, but not high, family and neighborhood stress. Conclusion These findings suggest that for children residing in multi-problem families, personal resources may not be sufficient to promote their adaptive functioning. PMID:17395260

  1. Effect of housing relocation and neighborhood environment on adolescent mental and behavioral health.

    PubMed

    Byck, Gayle R; Bolland, John; Dick, Danielle; Swann, Gregory; Henry, David; Mustanski, Brian

    2015-11-01

    This study examined whether relocating from a high-poverty neighborhood to a lower poverty neighborhood as part of a federal housing relocation program (HOPE VI; Housing Opportunities for People Everywhere) had effects on adolescent mental and behavioral health compared to adolescents consistently living in lower poverty neighborhoods. Sociodemographic, risk behavior, and neighborhood data were collected from 592 low-income, primarily African-American adolescents and their primary caregivers. Structured psychiatric interviews were conducted with adolescents. Prerelocation neighborhood, demographic, and risk behavior data were also included. Hierarchical Linear Modeling (HLM) was used to test associations between neighborhood variables and risk outcomes. HLM was used to test whether the effect of neighborhood relocation and neighborhood characteristics might explain differences in sexual risk taking, substance use, and mental health outcomes. Adolescents who relocated of HOPE VI neighborhoods (n = 158) fared worse than control group participants (n = 429) on most self-reported mental health outcomes. The addition of subjective neighborhood measures generally did not substantively change these results. Our findings suggest that moving from a high-poverty neighborhood to a somewhat lower poverty neighborhood is not associated with better mental health and risk behavior outcomes in adolescents. The continued effects of having grown up in a high-poverty neighborhood, the small improvements in their new neighborhoods, the comparatively short length of time they lived in their new neighborhood, and/or the stress of moving appears to worsen most of the mental health outcomes of HOPE VI compared to control group participants who consistently lived in the lower poverty neighborhoods. © 2015 Association for Child and Adolescent Mental Health.

  2. Neighborhood disorder and screen time among 10-16 year old Canadian youth: A cross-sectional study

    PubMed Central

    2012-01-01

    Background Screen time activities (e.g., television, computers, video games) have been linked to several negative health outcomes among young people. In order to develop evidence-based interventions to reduce screen time, the factors that influence the behavior need to be better understood. High neighborhood disorder, which may encourage young people to stay indoors where screen time activities are readily available, is one potential factor to consider. Methods Results are based on 15,917 youth in grades 6-10 (aged 10-16 years old) who participated in the Canadian 2009/10 Health Behaviour in School-aged Children Survey (HBSC). Total hours per week of television, video games, and computer use were reported by the participating students in the HBSC student questionnaire. Ten items of neighborhood disorder including safety, neighbors taking advantage, drugs/drinking in public, ethnic tensions, gangs, crime, conditions of buildings/grounds, abandoned buildings, litter, and graffiti were measured using the HBSC student questionnaire, the HBSC administrator questionnaire, and Geographic Information Systems. Based upon these 10 items, social and physical neighborhood disorder variables were derived using principal component analysis. Multivariate multilevel logistic regression analyses were used to examine the relationship between social and physical neighborhood disorder and individual screen time variables. Results High (top quartile) social neighborhood disorder was associated with approximately 35-45% increased risk of high (top quartile) television, computer, and video game use. Physical neighborhood disorder was not associated with screen time activities after adjusting for social neighborhood disorder. However, high social and physical neighborhood disorder combined was associated with approximately 40-60% increased likelihood of high television, computer, and video game use. Conclusion High neighborhood disorder is one environmental factor that may be important to consider for future public health interventions and strategies aiming to reduce screen time among youth. PMID:22651908

  3. Racial Differences in the Effects of Neighborhood Disadvantage on Residential Mobility in Later Life

    PubMed Central

    Riley, Alicia; Cagney, Kathleen A.

    2016-01-01

    Objectives: Past research on the residential mobility of older adults has focused on individual-level factors and life course events. Less attention has been paid to the role of the residential environment in explaining residential mobility in older adults. We sought to understand whether neighborhood disadvantage had predictive utility in explaining residential relocation patterns, and whether associations differed between Whites and non-Whites. Method: Data are from the National Social Life, Health and Aging Project, a nationally representative sample of community-dwelling older adults. Neighborhoods were defined at the census tract level. Local movers (different census tract, same county) and distant movers (different county) were compared with stayers. Results: After adjusting for individual-level factors, neighborhood disadvantage increased the likelihood of a local move, regardless of race/ethnicity. For non-Whites, higher neighborhood disadvantage decreased the likelihood of a distant move. Among local movers, Blacks and Latinos were less likely to improve neighborhood quality than Whites. Discussion: Neighborhood disadvantage may promote local mobility by undermining person–environment fit. Racial differences in access to better neighborhoods persist in later life. Future research should explore how older adults optimize person–environment fit in the face of neighborhood disadvantage when the possibility of relocation to a better neighborhood may be restricted. PMID:27257227

  4. Where they live, how they play: Neighborhood greenness and outdoor physical activity among preschoolers

    PubMed Central

    2011-01-01

    Background Emerging empirical evidence suggests exposure to "green" environments may encourage higher levels of physical activity among children. Few studies, however, have explored this association exclusively in pre-school aged children in the United States. We examined whether residing in neighborhoods with higher levels of greenness was associated with higher levels of outdoor physical activity among preschoolers. In addition, we also explored whether outdoor playing behaviors (e.g., active vs. quiet) were influenced by levels of neighborhood greenness independent of demographic and parental support factors. Results Higher levels of neighborhood greenness as measured by the Normalized Difference Vegetation Index (NDVI) was associated with higher levels of outdoor playing time among preschool-aged children in our sample. Specifically, a one unit increase in neighborhood greenness increased a child's outdoor playing time by approximately 3 minutes. A dose-response relationship was observed between increasing levels of parental support for physical activity (e.g., time spent playing with children) and child outdoor physical activity (p < 0.01). Conclusions Consistent with previous studies, neighborhood greenness influences physical activity behavior. However, for preschoolers, parental involvement may be more critical for improving physical activity levels. PMID:22165919

  5. The influence of rural home and neighborhood environments on healthy eating, physical activity, and weight.

    PubMed

    Kegler, Michelle C; Swan, Deanne W; Alcantara, Iris; Feldman, Lynne; Glanz, Karen

    2014-02-01

    Despite the recognition that environments play a role in shaping physical activity and healthy eating behaviors, relatively little research has focused on rural homes and neighborhoods as important settings for obesity prevention. This study, conducted through community-based participatory research, used a social ecological model to examine how home and neighborhood food and physical activity environments were associated with weight status among rural-dwelling adults. Data were from a cross-sectional survey of White and African American adults (n = 513) aged 40-70 years living in rural southwest Georgia. Data were analyzed using measured variable path analysis, a form of structural equation modeling. The results support a social ecological approach to obesity prevention. Physical activity had a direct effect on BMI; self-efficacy, family support for physical activity, and household inventory of physical activity equipment also had direct effects on physical activity. Neighborhood walkability had an indirect effect on physical activity through self-efficacy and family social support. Although neither fruit and vegetable intake nor fat intake had direct effects on BMI, self-efficacy and household food inventories had direct effects on dietary behavior. Perceived access to healthy foods in the neighborhood had an indirect effect on healthy eating and a direct effect on weight; neighborhood cohesion had an indirect effect on healthy eating through self-efficacy. Overall, individual factors and home environments tended to exhibit direct effects on behavior, and neighborhood variables more often exhibited an indirect effect.

  6. Effect of a large gaming neighborhood and a strategy adaptation neighborhood for bolstering network reciprocity in a prisoner's dilemma game

    NASA Astrophysics Data System (ADS)

    Ogasawara, Takashi; Tanimoto, Jun; Fukuda, Eriko; Hagishima, Aya; Ikegaya, Naoki

    2014-12-01

    In 2 × 2 prisoner's dilemma (PD) games, network reciprocity is one mechanism for adding social viscosity, leading to a cooperative equilibrium. In this paper, we explain how gaming neighborhoods and strategy-adaptation neighborhoods affect network reciprocity independently in spatial PD games. We explore an appropriate range of strategy adaptation neighborhoods as opposed to the conventional method of making the gaming and strategy adaptation neighborhoods coincide to enhance the level of cooperation. In cases of expanding gaming neighborhoods, network reciprocity falls to a low level relative to the conventional setting. In the discussion below, which is based on the results of our simulation, we explore how these enhancements come about. Essentially, varying the range of the neighborhoods influences how cooperative clusters form and expand in the evolutionary process.

  7. Individual-Level Influences on Perceptions of Neighborhood Disorder: A Multilevel Analysis

    ERIC Educational Resources Information Center

    Latkin, Carl A.; German, Danielle; Hua, Wei; Curry, Aaron D.

    2009-01-01

    Health outcomes are associated with aggregate neighborhood measures and individual neighborhood perceptions. In this study, the authors sought to delineate individual, social network, and spatial factors that may influence perceptions of neighborhood disorder. Multilevel regression analysis showed that neighborhood perceptions were more negative…

  8. The Protective Effects of Neighborhood Collective Efficacy on British Children Growing Up in Deprivation: A Developmental Analysis

    PubMed Central

    Odgers, Candice L.; Moffitt, Terrie E.; Tach, Laura M.; Sampson, Robert J.; Taylor, Alan; Matthews, Charlotte L.; Caspi, Avshalom

    2014-01-01

    This article reports on the influence of neighborhood-level deprivation and collective efficacy on children’s antisocial behavior between the ages of 5 and 10 years. Latent growth curve modeling was applied to characterize the developmental course of antisocial behavior among children in the E-Risk Longitudinal Twin Study, an epidemiological cohort of 2,232 children. Children in deprived versus affluent neighborhoods had higher levels of antisocial behavior at school entry (24.1 vs. 20.5, p < .001) and a slower rate of decline from involvement in antisocial behavior between the ages of 5 and 10 (−0.54 vs. −0.78, p < .01). Neighborhood collective efficacy was negatively associated with levels of antisocial behavior at school entry (r =−.10, p < .01) but only in deprived neighborhoods; this relationship held after controlling for neighborhood problems and family-level factors. Collective efficacy did not predict the rate of change in antisocial behavior between the ages of 5 and 10. Findings suggest that neighborhood collective efficacy may have a protective effect on children living in deprived contexts. PMID:19586172

  9. Intimate Partner Violence in Neighborhood Context: The Roles of Structural Disadvantage, Subjective Disorder, and Emotional Distress

    PubMed Central

    Copp, Jennifer E.; Kuhl, Danielle C.; Giordano, Peggy C.; Longmore, Monica A.; Manning, Wendy D.

    2015-01-01

    Most theoretical treatments of intimate partner violence (IPV) focus on individual-level processes. Some researchers have attempted to situate IPV within the larger neighborhood context, but few studies have sought to link structural- and individual-level factors. The current analyses fill a research gap by examining the role of anger and depression in the association between neighborhood disadvantage and IPV. Using data from the Toledo Adolescent Relationships Study (TARS) and the 2000 Census, this study focuses on structural indicators of disadvantage as well as subjective disorder, and highlights the complex associations between neighborhood conditions, emotional distress, and IPV. Findings indicate that anger and depressive symptoms partially explain the association between neighborhood disadvantage and IPV. Additionally, the associations between disadvantage, disorder, and IPV depend on respondent’s level of anger. Results underscore the need to further consider the role of neighborhood factors (both objective and subjective) in relation to IPV, and also suggest the utility of introducing individual-level emotional measures to assess the circumstances under which neighborhoods matter most. PMID:26188438

  10. Neighborhood Predictors of Dating Violence Victimization and Perpetration in Young Adulthood: A Multilevel Study

    PubMed Central

    Buka, Stephen L.; Subramanian, S. V.; Molnar, Beth E.

    2010-01-01

    Objectives. We examined whether social processes of neighborhoods, such as collective efficacy, during individual's adolescent years affect the likelihood of being involved in physical dating violence during young adulthood. Methods. Using longitudinal data on 633 urban youths aged 13 to 19 years at baseline and data from their neighborhoods (collected by the Project on Human Development in Chicago Neighborhoods), we ran multilevel linear regression models separately by gender to assess the association between collective efficacy and physical dating violence victimization and perpetration, controlling for individual covariates, neighborhood poverty, and perceived neighborhood violence. Results. Females were significantly more likely than were males to be perpetrators of dating violence during young adulthood (38% vs 19%). Multilevel analyses revealed some variation in dating violence at the neighborhood level, partly accounted for by collective efficacy. Collective efficacy was predictive of victimization for males but not females after control for confounders; it was marginally associated with perpetration (P = .07). The effects of collective efficacy varied by neighborhood poverty. Finally, a significant proportion (intraclass correlation = 14%–21%) of the neighborhood-level variation in male perpetration remained unexplained after modeling. Conclusions. Community-level strategies may be useful in preventing dating violence. PMID:20634470

  11. Are neighborhood bonding and bridging social capital protective against depressive mood in old age? A multilevel analysis in Japan.

    PubMed

    Murayama, Hiroshi; Nofuji, Yu; Matsuo, Eri; Nishi, Mariko; Taniguchi, Yu; Fujiwara, Yoshinori; Shinkai, Shoji

    2015-01-01

    While the importance of distinguishing between bonding and bridging social capital is now understood, evidence remains sparse on their contextual effects on health. We examined the associations of neighborhood bonding and bridging social capital with depressive mood among older Japanese. A questionnaire survey of all community residents aged 65 and older in the city of Yabu, Hyogo Prefecture, Japan was conducted in July and August 2012. Bonding and bridging social capital were assessed by evaluating individual homogeneous and heterogeneous social networks in relation to age, gender, and socioeconomic status. Individual responses in each neighborhood were aggregated to create an index of neighborhood-level bonding/bridging social capital. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the associations of such social capital with depressive mood using multilevel binomial logistic regression analysis. Of the 7271 questionnaires distributed, 6416 were analyzed (covering 152 administrative neighborhoods). Approximately 56.8% of respondents were women, and the mean age was 76.2 ± 7.1 years. Neighborhood-level bonding social capital was inversely associated with depressive mood (OR = 0.84, 95% CI = 0.75-0.94), but neighborhood-level bridging social capital was not. Gender-stratified analysis revealed that neighborhood-level bonding social capital was inversely associated with depressive mood in both genders (OR = 0.83, 95% CI = 0.72-0.96 for men; OR = 0.85, 95% CI = 0.72-0.99 for women), while neighborhood-level bridging social capital was positively associated with depressive mood in women (OR = 1.15, 95% CI = 1.00-1.34). There was also a significant interaction between individual- and neighborhood-level bonding social capital, indicating that people with a weaker homogeneous network and living in a neighborhood with weaker bonding social capital were more likely to have depressive mood. Our results suggest that neighborhood social capital does not necessarily benefit mental health in old age. These findings might stimulate further discussion on the relationship of bonding and bridging social capital with mental health. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. A multi-directional and multi-scale roughness filter to detect lineament segments on digital elevation models - analyzing spatial objects in R

    NASA Astrophysics Data System (ADS)

    Baumann, Sebastian; Robl, Jörg; Wendt, Lorenz; Willingshofer, Ernst; Hilberg, Sylke

    2016-04-01

    Automated lineament analysis on remotely sensed data requires two general process steps: The identification of neighboring pixels showing high contrast and the conversion of these domains into lines. The target output is the lineaments' position, extent and orientation. We developed a lineament extraction tool programmed in R using digital elevation models as input data to generate morphological lineaments defined as follows: A morphological lineament represents a zone of high relief roughness, whose length significantly exceeds the width. As relief roughness any deviation from a flat plane, defined by a roughness threshold, is considered. In our novel approach a multi-directional and multi-scale roughness filter uses moving windows of different neighborhood sizes to identify threshold limited rough domains on digital elevation models. Surface roughness is calculated as the vertical elevation difference between the center cell and the different orientated straight lines connecting two edge cells of a neighborhood, divided by the horizontal distance of the edge cells. Thus multiple roughness values depending on the neighborhood sizes and orientations of the edge connecting lines are generated for each cell and their maximum and minimum values are extracted. Thereby negative signs of the roughness parameter represent concave relief structures as valleys, positive signs convex relief structures as ridges. A threshold defines domains of high relief roughness. These domains are thinned to a representative point pattern by a 3x3 neighborhood filter, highlighting maximum and minimum roughness peaks, and representing the center points of lineament segments. The orientation and extent of the lineament segments are calculated within the roughness domains, generating a straight line segment in the direction of least roughness differences. We tested our algorithm on digital elevation models of multiple sources and scales and compared the results visually with shaded relief map of these digital elevation models. The lineament segments trace the relief structure to a great extent and the calculated roughness parameter represents the physical geometry of the digital elevation model. Modifying the threshold for the surface roughness value highlights different distinct relief structures. Also the neighborhood size at which lineament segments are detected correspond with the width of the surface structure and may be a useful additional parameter for further analysis. The discrimination of concave and convex relief structures perfectly matches with valleys and ridges of the surface.

  13. A small-area ecologic study of myocardial infarction, neighborhood deprivation, and sex: a Bayesian modeling approach.

    PubMed

    Deguen, Séverine; Lalloue, Benoît; Bard, Denis; Havard, Sabrina; Arveiler, Dominique; Zmirou-Navier, Denis

    2010-07-01

    Socioeconomic inequalities in the risk of coronary heart disease (CHD) are well documented for men and women. CHD incidence is greater for men but its association with socioeconomic status is usually found to be stronger among women. We explored the sex-specific association between neighborhood deprivation level and the risk of myocardial infarction (MI) at a small-area scale. We studied 1193 myocardial infarction events in people aged 35-74 years in the Strasbourg metropolitan area, France (2000-2003). We used a deprivation index to assess the neighborhood deprivation level. To take into account spatial dependence and the variability of MI rates due to the small number of events, we used a hierarchical Bayesian modeling approach. We fitted hierarchical Bayesian models to estimate sex-specific relative and absolute MI risks across deprivation categories. We tested departure from additive joint effects of deprivation and sex. The risk of MI increased with the deprivation level for both sexes, but was higher for men for all deprivation classes. Relative rates increased along the deprivation scale more steadily for women and followed a different pattern: linear for men and nonlinear for women. Our data provide evidence of effect modification, with departure from an additive joint effect of deprivation and sex. We document sex differences in the socioeconomic gradient of MI risk in Strasbourg. Women appear more susceptible at levels of extreme deprivation; this result is not a chance finding, given the large difference in event rates between men and women.

  14. Socio-Ecological Risk Factors for Prime-Age Adult Death in Two Coastal Areas of Vietnam

    PubMed Central

    Kim, Deok Ryun; Ali, Mohammad; Thiem, Vu Dinh; Wierzba, Thomas F.

    2014-01-01

    Background Hierarchical spatial models enable the geographic and ecological analysis of health data thereby providing useful information for designing effective health interventions. In this study, we used a Bayesian hierarchical spatial model to evaluate mortality data in Vietnam. The model enabled identification of socio-ecological risk factors and generation of risk maps to better understand the causes and geographic implications of prime-age (15 to less than 45 years) adult death. Methods and Findings The study was conducted in two sites: Nha Trang and Hue in Vietnam. The study areas were split into 500×500 meter cells to define neighborhoods. We first extracted socio-demographic data from population databases of the two sites, and then aggregated the data by neighborhood. We used spatial hierarchical model that borrows strength from neighbors for evaluating risk factors and for creating spatially smoothed risk map after adjusting for neighborhood level covariates. The Markov chain Monte Carlo procedure was used to estimate the parameters. Male mortality was more than twice the female mortality. The rates also varied by age and sex. The most frequent cause of mortality was traffic accidents and drowning for men and traffic accidents and suicide for women. Lower education of household heads in the neighborhood was an important risk factor for increased mortality. The mortality was highly variable in space and the socio-ecological risk factors are sensitive to study site and sex. Conclusion Our study suggests that lower education of the household head is an important predictor for prime age adult mortality. Variability in socio-ecological risk factors and in risk areas by sex make it challenging to design appropriate intervention strategies aimed at decreasing prime-age adult deaths in Vietnam. PMID:24587031

  15. Socio-ecological risk factors for prime-age adult death in two coastal areas of Vietnam.

    PubMed

    Kim, Deok Ryun; Ali, Mohammad; Thiem, Vu Dinh; Wierzba, Thomas F

    2014-01-01

    Hierarchical spatial models enable the geographic and ecological analysis of health data thereby providing useful information for designing effective health interventions. In this study, we used a Bayesian hierarchical spatial model to evaluate mortality data in Vietnam. The model enabled identification of socio-ecological risk factors and generation of risk maps to better understand the causes and geographic implications of prime-age (15 to less than 45 years) adult death. The study was conducted in two sites: Nha Trang and Hue in Vietnam. The study areas were split into 500×500 meter cells to define neighborhoods. We first extracted socio-demographic data from population databases of the two sites, and then aggregated the data by neighborhood. We used spatial hierarchical model that borrows strength from neighbors for evaluating risk factors and for creating spatially smoothed risk map after adjusting for neighborhood level covariates. The Markov chain Monte Carlo procedure was used to estimate the parameters. Male mortality was more than twice the female mortality. The rates also varied by age and sex. The most frequent cause of mortality was traffic accidents and drowning for men and traffic accidents and suicide for women. Lower education of household heads in the neighborhood was an important risk factor for increased mortality. The mortality was highly variable in space and the socio-ecological risk factors are sensitive to study site and sex. Our study suggests that lower education of the household head is an important predictor for prime age adult mortality. Variability in socio-ecological risk factors and in risk areas by sex make it challenging to design appropriate intervention strategies aimed at decreasing prime-age adult deaths in Vietnam.

  16. Family, Community and Clinic Collaboration to Treat Overweight and Obese Children: Stanford GOALS -- a Randomized Controlled Trial of a Three-Year, Multi-Component, Multi-Level, Multi-Setting Intervention

    PubMed Central

    Robinson, Thomas N.; Matheson, Donna; Desai, Manisha; Wilson, Darrell M.; Weintraub, Dana L.; Haskell, William L.; McClain, Arianna; McClure, Samuel; Banda, Jorge; Sanders, Lee M.; Haydel, K. Farish; Killen, Joel D.

    2013-01-01

    Objective To test the effects of a three-year, community-based, multi-component, multi-level, multi-setting (MMM) approach for treating overweight and obese children. Design Two-arm, parallel group, randomized controlled trial with measures at baseline, 12, 24, and 36 months after randomization. Participants Seven through eleven year old, overweight and obese children (BMI ≥ 85th percentile) and their parents/caregivers recruited from community locations in low-income, primarily Latino neighborhoods in Northern California. Interventions Families are randomized to the MMM intervention versus a community health education active-placebo comparison intervention. Interventions last for three years for each participant. The MMM intervention includes a community-based after school team sports program designed specifically for overweight and obese children, a home-based family intervention to reduce screen time, alter the home food/eating environment, and promote self-regulatory skills for eating and activity behavior change, and a primary care behavioral counseling intervention linked to the community and home interventions. The active-placebo comparison intervention includes semi-annual health education home visits, monthly health education newsletters for children and for parents/guardians, and a series of community-based health education events for families. Main Outcome Measure Body mass index trajectory over the three-year study. Secondary outcome measures include waist circumference, triceps skinfold thickness, accelerometer-measured physical activity, 24-hour dietary recalls, screen time and other sedentary behaviors, blood pressure, fasting lipids, glucose, insulin, hemoglobin A1c, C-reactive protein, alanine aminotransferase, and psychosocial measures. Conclusions The Stanford GOALS trial is testing the efficacy of a novel community-based multi-component, multi-level, multi-setting treatment for childhood overweight and obesity in low-income, Latino families. PMID:24028942

  17. Family, community and clinic collaboration to treat overweight and obese children: Stanford GOALS-A randomized controlled trial of a three-year, multi-component, multi-level, multi-setting intervention.

    PubMed

    Robinson, Thomas N; Matheson, Donna; Desai, Manisha; Wilson, Darrell M; Weintraub, Dana L; Haskell, William L; McClain, Arianna; McClure, Samuel; Banda, Jorge A; Sanders, Lee M; Haydel, K Farish; Killen, Joel D

    2013-11-01

    To test the effects of a three-year, community-based, multi-component, multi-level, multi-setting (MMM) approach for treating overweight and obese children. Two-arm, parallel group, randomized controlled trial with measures at baseline, 12, 24, and 36 months after randomization. Seven through eleven year old, overweight and obese children (BMI ≥ 85th percentile) and their parents/caregivers recruited from community locations in low-income, primarily Latino neighborhoods in Northern California. Families are randomized to the MMM intervention versus a community health education active-placebo comparison intervention. Interventions last for three years for each participant. The MMM intervention includes a community-based after school team sports program designed specifically for overweight and obese children, a home-based family intervention to reduce screen time, alter the home food/eating environment, and promote self-regulatory skills for eating and activity behavior change, and a primary care behavioral counseling intervention linked to the community and home interventions. The active-placebo comparison intervention includes semi-annual health education home visits, monthly health education newsletters for children and for parents/guardians, and a series of community-based health education events for families. Body mass index trajectory over the three-year study. Secondary outcome measures include waist circumference, triceps skinfold thickness, accelerometer-measured physical activity, 24-hour dietary recalls, screen time and other sedentary behaviors, blood pressure, fasting lipids, glucose, insulin, hemoglobin A1c, C-reactive protein, alanine aminotransferase, and psychosocial measures. The Stanford GOALS trial is testing the efficacy of a novel community-based multi-component, multi-level, multi-setting treatment for childhood overweight and obesity in low-income, Latino families. © 2013 Elsevier Inc. All rights reserved.

  18. Examining food purchasing patterns from sales data at a full-service grocery store intervention in a former food desert.

    PubMed

    Fuller, Daniel; Engler-Stringer, Rachel; Muhajarine, Nazeem

    2015-01-01

    The Good Food Junction Grocery Store was opened in a former food desert in the inner city of Saskatoon, Canada. The purpose of this research was to examine, using grocery store sales data, healthy and less healthful food purchasing over a one-year period beginning eight months after opening by shoppers' neighborhood of residence. A multilevel cross sectional design was used. The sample consisted of members of the Good Food Junction with a valid address in Saskatoon, Saskatchewan. All purchases made by members who reported their postal code of residence from May 15, 2013 to April 30, 2014 were analyzed. The outcome variable was the total amount spent on foods in 11 food groups. Linear random intercept models with three levels were fit to the data. Shoppers who were residents of former food desert neighborhoods spent $0.7 (95% CI: 0.2 to 1.2) more on vegetables, and $1.2 (95% CI: - 1.8 to - 0.6) less on meat, and $1.1 (95% CI: - 2.0 to - 0.3) less on prepared foods than shoppers who did not reside in those neighborhoods. When given geographical access to healthy food, people living in disadvantaged former food desert neighborhoods will take advantage of that access.

  19. Neighborhood walkability and particulate air pollution in a nationwide cohort of women.

    PubMed

    James, Peter; Hart, Jaime E; Laden, Francine

    2015-10-01

    Features of neighborhoods associated with walkability (i.e., connectivity, accessibility, and density) may also be correlated with levels of ambient air pollution, which would attenuate the health benefits of walkability. We examined the relationship between neighborhood walkability and ambient air pollution in a cross-sectional analysis of a cohort study spanning the entire United States using residence-level exposure assessment for ambient air pollution and the built environment. Using data from the Nurses' Health Study, we used linear regression to estimate the association between a neighborhood walkability index, combining neighborhood intersection count, business count, and population density (defined from Census data, infoUSA business data, and StreetMap USA data), and air pollution, defined from a GIS-based spatiotemporal PM2.5 model. After adjustment for Census tract median income, median home value, and percent with no high school education, the highest tertile of walkability index, intersection count, business count, and population density was associated with a with 1.58 (95% CI 1.54, 1.62), 1.20 (95% CI 1.16, 1.24), 1.31 (95% CI 1.27, 1.35), and 1.84 (95% CI 1.80, 1.88) µg/m(3) higher level of PM2.5 respectively, compared to the lowest tertile. Results varied somewhat by neighborhood socioeconomic status and greatly by region. This nationwide analysis showed a positive relationship between neighborhood walkability and modeled air pollution levels, which were consistent after adjustment for neighborhood-level socioeconomic status. Regional differences in the air pollution-walkability relationship demonstrate that there are factors that vary from region to region that allow for walkable neighborhoods with low levels of air pollution. Copyright © 2015 Elsevier Inc. All rights reserved.

  20. Neighborhood contextual characteristics and leisure-time physical activity: Pró-Saúde Study

    PubMed Central

    Boclin, Karine de Lima Sírio; Faerstein, Eduardo; de Leon, Antônio Carlos Monteiro Ponce

    2014-01-01

    OBJECTIVE To estimate the association between neighborhood contextual variables and leisure-time physical activity. METHODS Data were analyzed for 2,674 adults from Rio de Janeiro, RJ, Southeastern Brazil, participating in the longitudinal study in 1999. Leisure-time physical activity in the two preceding weeks was assessed dichotomously. Sex, age, income, education and marital status were analyzed as individual variables. Neighborhood contextual characteristics were the social development index, the Theil index and the proportion of the area occupied by parks, squares and gardens, categorized in quintiles. The unadjusted and adjusted odds ratios and 95% confidence intervals were estimated using multilevel logistic regression. RESULTS The prevalence of leisure-time physical activity was higher in residents in neighborhoods with higher indices of social development (between 32.3% and 53.1%) and a greater proportion of parks, squares and gardens (between 35.8% and 53.1%). Regarding the social development index, the adjusted odds ratios for physical activity were 1.22 (95%CI 0.93;1.61), 1.44 (95%CI 1.09;1.89), 1.75 (95%CI 1.31;2.34) and 2.25 (95%CI 1.70;3.00) for residents in neighborhoods in the second, third, fourth and fifth quintiles, respectively, compared with residents in neighborhoods in the first quintile. The odds ratios for the proportion of parks, squares and gardens were 0.90 (95%CI 0.69;1.19), 1.41 (95%CI 1.04;1.90), 1.63 (95%CI 1.24;2.14) and 1.05 (95%CI 0.80;1.38) for residents in neighborhoods in the second, third, fourth and fifth quintiles. After adjusting for the other variables, only the social development index continued to be associated with leisure-time physical activity, with odds ratios of 1.41 (95%CI 1.02;1.95); 1.54 (95%CI 1.12;2.12); 1.65 (95%CI 1.14;2.39) and 2.13 (95%CI 1.40;3.25) for residents in neighborhoods in the second, third, fourth and fifth quintiles. CONCLUSIONS Leisure-time physical activity was more common in residents in neighborhoods with higher social development indices. No association was observed between access to leisure areas and income inequality. PMID:24897046

  1. Neighborhood characteristics and differential risk for depressive and anxiety disorders across racial/ethnic groups in the United States.

    PubMed

    Alegría, Margarita; Molina, Kristine M; Chen, Chih-Nan

    2014-01-01

    The prevalence of psychiatric disorders varies depending on the person's neighborhood context, their racial/ethnic group, and the specific diagnoses being examined. Less is known about specific neighborhood features that represent differential risk for depressive and anxiety disorders (DAD) across racial/ethnic groups in the United States. This study examines whether neighborhood etiologic factors are associated with DAD, above and beyond individual-level characteristics, and whether these associations are moderated by race/ethnicity. We utilized nationally representative data (N = 13,837) from the Collaborative Psychiatric Epidemiology Studies (CPES-Geocode file). Separate weighted multilevel logistic regression models were fitted for any past-year depressive and/or anxiety disorder, any depressive disorder only, and any anxiety disorder only. After adjusting for individual-level characteristics, African Americans living in a neighborhood with greater affluence and Afro-Caribbeans residing in more residentially unstable neighborhoods were at increased risk for any past-year depressive disorder as compared to their non-Latino white counterparts. Further, Latinos residing in neighborhoods with greater levels of Latino/immigrant concentration were at increased risk of any past-year anxiety disorder. Lastly, Asians living in neighborhoods with higher levels of economic disadvantage were at decreased risk of any past-year depressive and/or anxiety disorders compared to non-Latino whites, independent of individual-level factors. Differences across subethnic groups are also evident. Results suggest neighborhood characteristics operate differently on risk for DAD across racial/ethnic groups. Our findings have important implications for designing and targeting interventions to address DAD risk among racial/ethnic minorities. © 2013 Wiley Periodicals, Inc.

  2. Neighborhood Characteristics and Differential Risk for Depressive and Anxiety Disorders Across Racial/Ethnic Groups in the United States

    PubMed Central

    Alegría, Margarita; Molina, Kristine M.; Chen, Chih-Nan

    2017-01-01

    Background Evidence consistently suggests that prevalence of psychiatric disorders varies depending on the person’s neighborhood context, their racial/ethnic group, and the specific diagnoses being examined. Yet, less is known about specific neighborhood features that represent differential risk for depressive and anxiety disorders (DAD) across racial/ethnic groups in the U.S. This study examines whether neighborhood etiologic factors are associated with DAD, above and beyond individual-level characteristics; and whether these associations are moderated by race/ethnicity. Methods We utilized nationally representative data (N= 13, 837) from the Collaborative Psychiatric Epidemiology Studies (CPES-Geocode file). Separate weighted multilevel logistic regression models were fitted for any past-year depressive and/or anxiety disorder, any depressive disorder only, and any anxiety disorder only. Results After adjusting for individual-level characteristics, African Americans living in a neighborhood with greater affluence and Black Caribbeans residing in more residentially unstable neighborhoods were at increased risk for any past-year depressive disorder as compared to their non-Latino white counterparts. Further, Latinos residing in neighborhoods with greater levels of Latino/immigrant concentration were at an increased risk of any past-year anxiety disorder. Lastly, Asians living in neighborhoods with higher levels of economic disadvantage were at a decreased risk of any past-year depressive and/or anxiety disorders compared to non-Latino whites, independent of individual-level factors. Conclusions Results suggest neighborhood characteristics operate differently on risk for DAD across racial/ethnic groups. Our findings have important implications for designing and targeting interventions to address mental health risk among racial/ethnic minorities. PMID:24123668

  3. Local-scale drivers of tree survival in a temperate forest.

    PubMed

    Wang, Xugao; Comita, Liza S; Hao, Zhanqing; Davies, Stuart J; Ye, Ji; Lin, Fei; Yuan, Zuoqiang

    2012-01-01

    Tree survival plays a central role in forest ecosystems. Although many factors such as tree size, abiotic and biotic neighborhoods have been proposed as being important in explaining patterns of tree survival, their contributions are still subject to debate. We used generalized linear mixed models to examine the relative importance of tree size, local abiotic conditions and the density and identity of neighbors on tree survival in an old-growth temperate forest in northeastern China at three levels (community, guild and species). Tree size and both abiotic and biotic neighborhood variables influenced tree survival under current forest conditions, but their relative importance varied dramatically within and among the community, guild and species levels. Of the variables tested, tree size was typically the most important predictor of tree survival, followed by biotic and then abiotic variables. The effect of tree size on survival varied from strongly positive for small trees (1-20 cm dbh) and medium trees (20-40 cm dbh), to slightly negative for large trees (>40 cm dbh). Among the biotic factors, we found strong evidence for negative density and frequency dependence in this temperate forest, as indicated by negative effects of both total basal area of neighbors and the frequency of conspecific neighbors. Among the abiotic factors tested, soil nutrients tended to be more important in affecting tree survival than topographic variables. Abiotic factors generally influenced survival for species with relatively high abundance, for individuals in smaller size classes and for shade-tolerant species. Our study demonstrates that the relative importance of variables driving patterns of tree survival differs greatly among size classes, species guilds and abundance classes in temperate forest, which can further understanding of forest dynamics and offer important insights into forest management.

  4. Local-Scale Drivers of Tree Survival in a Temperate Forest

    PubMed Central

    Wang, Xugao; Comita, Liza S.; Hao, Zhanqing; Davies, Stuart J.; Ye, Ji; Lin, Fei; Yuan, Zuoqiang

    2012-01-01

    Tree survival plays a central role in forest ecosystems. Although many factors such as tree size, abiotic and biotic neighborhoods have been proposed as being important in explaining patterns of tree survival, their contributions are still subject to debate. We used generalized linear mixed models to examine the relative importance of tree size, local abiotic conditions and the density and identity of neighbors on tree survival in an old-growth temperate forest in northeastern China at three levels (community, guild and species). Tree size and both abiotic and biotic neighborhood variables influenced tree survival under current forest conditions, but their relative importance varied dramatically within and among the community, guild and species levels. Of the variables tested, tree size was typically the most important predictor of tree survival, followed by biotic and then abiotic variables. The effect of tree size on survival varied from strongly positive for small trees (1–20 cm dbh) and medium trees (20–40 cm dbh), to slightly negative for large trees (>40 cm dbh). Among the biotic factors, we found strong evidence for negative density and frequency dependence in this temperate forest, as indicated by negative effects of both total basal area of neighbors and the frequency of conspecific neighbors. Among the abiotic factors tested, soil nutrients tended to be more important in affecting tree survival than topographic variables. Abiotic factors generally influenced survival for species with relatively high abundance, for individuals in smaller size classes and for shade-tolerant species. Our study demonstrates that the relative importance of variables driving patterns of tree survival differs greatly among size classes, species guilds and abundance classes in temperate forest, which can further understanding of forest dynamics and offer important insights into forest management. PMID:22347996

  5. The role of neighborhood income inequality in adolescent aggression and violence.

    PubMed

    Pabayo, Roman; Molnar, Beth E; Kawachi, Ichiro

    2014-10-01

    Being a perpetrator or victim of assaults can have detrimental effects on the development and health of adolescents. Area-level income inequality has been suggested to be associated with crime and aggressive behavior. However, most prior research on this association has been ecological. Therefore, the purpose of this investigation was to describe the association between neighborhood-level income inequality and aggression and violence outcomes. Data were collected from a sample of 1,878 adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey. We used multilevel logistic regression models to estimate the association between neighborhood income inequality and attacking someone with a weapon, being attacked by someone with a weapon, being physically assaulted, being shown a gun by someone in the neighborhood, shot at by someone in the neighborhood, witnessing someone getting murdered in the past year, and having a close family member or friend murdered. Race and income inequality cross-level interactions were tested. Analyses were stratified by sex. Among nonblack boys, after adjusting for nativity, age, neighborhood-level income, crime, disorder, and proportion of the neighborhood that is black, income inequality was associated with an increased risk for committing acts of aggression and being a victim of violence. Among nonblack girls, those living in neighborhoods with high-income inequality were more likely to witness someone die a violent death in the previous year, in comparison to those in more equal neighborhoods. Income inequality appears to be related to aggression and victimization outcomes among nonblack adolescents living in Boston. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  6. Youth Dietary Intake and Weight Status: Healthful Neighborhood Food Environments Enhance the Protective Role of Supportive Family Home Environments

    PubMed Central

    Berge, Jerica M.; Wall, Melanie; Larson, Nicole; Forsyth, Ann; Bauer, Katherine W.; Neumark-Sztainer, Dianne

    2014-01-01

    The aim of this study is to investigate individual and joint associations of the home environment and the neighborhood built environment with adolescent dietary patterns and body mass index (BMI) z-score. Racially/ethnically and socioeconomically diverse adolescents (n = 2682; 53.2% girls; mean age14. 4 years) participating in the EAT 2010 (Eating and Activity in Teens) study completed height and weight measurements and surveys in Minnesota middle and high schools. Neighborhood variables were measured using Geographic Information Systems data. Multiple regressions of BMI z-score, fruit and vegetable intake, and fast food consumption were fit including home and neighborhood environmental variables as predictors and also including their interactions to test for effect modification. Supportive family environments (i.e., higher family functioning, frequent family meals, parent modeling of healthful eating) were associated with higher adolescent fruit and vegetable intake, lower fast food consumption, and lower BMI z-score. Associations between the built environment and adolescent outcomes were fewer. Interaction results, although not all consistent, indicated that the relationship between a supportive family environment and adolescent fruit and vegetable intake and BMI was enhanced when the neighborhood was supportive of healthful behavior. Public health interventions that simultaneously improve both the home environment and the neighborhood environment of adolescents may have a greater impact on adolescent obesity prevention than interventions that address one of these environments alone. PMID:24378461

  7. Change in waist circumference with longer time in the US among Hispanic and Chinese immigrants: the modifying role of the neighborhood built environment

    PubMed Central

    Albrecht, Sandra S.; Osypuk, Theresa L.; Kandula, Namratha R.; Gallo, Linda C.; Lê- Scherban, Félice; Shrager, Sandi; Roux, Ana V. Diez

    2015-01-01

    Purpose We examined whether living in neighborhoods supportive of healthier diets and more active lifestyles may buffer immigrants against the unhealthy weight gain that is purported to occur with longer length of US residence. Methods Neighborhood data referring to a 1-mile buffer around participants’ baseline home addresses were linked to longitudinal data from 877 Hispanic and 684 Chinese immigrants aged 45-84 years in the Multi-Ethnic Study of Atherosclerosis. We used ethnicity-stratified linear mixed models to examine whether food and activity-based neighborhood measures (healthy food stores, walkability, and recreational facilities) were associated with change in waist circumference (WC) over a 9-year follow-up. Results Among Hispanics, living in neighborhoods with more resources for healthy food and recreational activity was related to lower baseline WC. However, there was no association with change in WC over time. Among Chinese, living in more walkable neighborhoods was associated with lower baseline WC and with slower increases in WC over time, especially among the most recent immigrant arrivals. Conclusions Where immigrants reside may have implications for health patterns that emerge with longer time in the US. PMID:26296266

  8. What explains the association between neighborhood-level income inequality and the risk of fatal overdose in New York City?

    PubMed

    Nandi, Arijit; Galea, Sandro; Ahern, Jennifer; Bucciarelli, Angela; Vlahov, David; Tardiff, Kenneth

    2006-08-01

    Accidental drug overdose is a substantial cause of mortality for drug users. Using a multilevel case-control study we previously have shown that neighborhood-level income inequality may be an important determinant of overdose death independent of individual-level factors. Here we hypothesized that the level of environmental disorder, the level of police activity, and the quality of the built environment in a neighborhood mediate this association. Data from the New York City (NYC) Mayor's Management Report, the NYC Police Department, and the NYC Housing and Vacancy Survey were used to define constructs for the level of environmental disorder, the level of police activity and the quality of the built environment, respectively. In multivariable models the odds of death due to drug overdose in neighborhoods in the top decile of income inequality compared to the most equitable neighborhoods decreased from 1.63 to 1.12 when adjusting for the three potential mediators. Path analyses show that the association between income inequality and the rate of drug overdose mortality was primarily explained by an indirect effect through the level of environmental disorder and the quality of the built environment in a neighborhood. Implications of these findings for the reduction of drug overdose mortality associated with the distribution of income are discussed.

  9. Formal and Informal Neighborhood Social Organization: Which Promotes Better Resident Health?

    PubMed

    Gilster, Megan E; Meier, Cristian L

    2016-08-01

    Neighborhood social organization captures how neighborhood residents differently organize to exert social control and enact their vision of their community. Whereas structural aspects of neighborhoods have been found to predict the health of neighborhood residents, we know less about whether neighborhood social characteristics, like social organization, matter for resident health. In their study, authors tested whether two types of social organization-formal and informal-were more predictive of resident self-rated health in a diverse sample of Chicago residents. They used multilevel models with survey weights, ordered dependent variables, and multiple imputation. They found that one measure of formal social organization, organizational participation, was significantly associated with self-rated health even when controlling for other types of social organization and individual participation. The article concludes with a discussion of the implications for macro social work practice to address social determinants of health and improve community health. © 2016 National Association of Social Workers.

  10. Desistance from intimate partner violence: the role of legal cynicism, collective efficacy, and social disorganization in Chicago neighborhoods.

    PubMed

    Emery, Clifton R; Jolley, Jennifer M; Wu, Shali

    2011-12-01

    This paper examined the relationship between reported Intimate Partner Violence (IPV) desistance and neighborhood concentrated disadvantage, ethnic heterogeneity, residential instability, collective efficacy and legal cynicism. Data from the Project on Human Development in Chicago Neighborhoods (PHDCN) Longitudinal survey were used to identify 599 cases of IPV in Wave 1 eligible for reported desistance in Wave 2. A Generalized Boosting Model was used to determine the best proximal predictors of IPV desistance from the longitudinal data. Controlling for these predictors, logistic regression of neighborhood characteristics from the PHDCN community survey was used to predict reported IPV desistance in Wave 2. The paper finds that participants living in neighborhoods high in legal cynicism have lower odds of reporting IPV desistance, controlling for other variables in the logistic regression model. Analyses did not find that IPV desistance was related to neighborhood concentrated disadvantage, ethnic heterogeneity, residential instability and collective efficacy.

  11. Formal and Informal Neighborhood Social Organization: Which Promotes Better Resident Health?

    PubMed Central

    Gilster, Megan E.; Meier, Cristian L.

    2016-01-01

    Neighborhood social organization captures how neighborhood residents differently organize to exert social control and enact their vision of their community. Whereas structural aspects of neighborhoods have been found to predict the health of neighborhood residents, we know less about whether neighborhood social characteristics, like social organization, matter for resident health. In their study, authors tested whether two types of social organization—formal and informal—were more predictive of resident self-rated health in a diverse sample of Chicago residents. They used multilevel models with survey weights, ordered dependent variables, and multiple imputation. They found that one measure of formal social organization, organizational participation, was significantly associated with self-rated health even when controlling for other types of social organization and individual participation. The article concludes with a discussion of the implications for macro social work practice to address social determinants of health and improve community health. PMID:29206950

  12. Neighborhood Research from a Spatially Oriented Strengths Perspective

    ERIC Educational Resources Information Center

    Mowbray, Carol T.; Woolley, Michael E.; Grogan-Kaylor, Andrew; Gant, Larry M.; Gilster, Megan E.; Williams Shanks, Trina R.

    2007-01-01

    Research investigating neighborhood effects on children and families has been largely deficit and individual-focused, investigated structural variables, and has typically produced equivocal findings and small effect sizes. We suggest an approach focused on community strengths and resources that stresses the role of measures of social interaction…

  13. Ghettoizing outdoor advertising: disadvantage and ad panel density in black neighborhoods.

    PubMed

    Kwate, Naa Oyo A; Lee, Tammy H

    2007-01-01

    This study investigated correlates of outdoor advertising panel density in predominantly African American neighborhoods in New York City. Research shows that black neighborhoods have more outdoor advertising space than white neighborhoods, and these spaces disproportionately market alcohol and tobacco advertisements. Thus, understanding the factors associated with outdoor advertising panel density has important implications for public health. We linked 2000 census data with property data at the census block group level to investigate two neighborhood-level determinants of ad density: income level and physical decay. Results showed that block groups were exposed to an average of four ad spaces per 1,000 residents and that vacant lot square footage was a significant positive predictor of ad density. An inverse relationship between median household income and ad density did not reach significance, suggesting that relative affluence did not protect black neighborhoods from being targeted for outdoor advertisements.

  14. Ghettoizing Outdoor Advertising: Disadvantage and Ad Panel Density in Black Neighborhoods

    PubMed Central

    Lee, Tammy H.

    2006-01-01

    This study investigated correlates of outdoor advertising panel density in predominantly African American neighborhoods in New York City. Research shows that black neighborhoods have more outdoor advertising space than white neighborhoods, and these spaces disproportionately market alcohol and tobacco advertisements. Thus, understanding the factors associated with outdoor advertising panel density has important implications for public health. We linked 2000 census data with property data at the census block group level to investigate two neighborhood-level determinants of ad density: income level and physical decay. Results showed that block groups were exposed to an average of four ad spaces per 1,000 residents and that vacant lot square footage was a significant positive predictor of ad density. An inverse relationship between median household income and ad density did not reach significance, suggesting that relative affluence did not protect black neighborhoods from being targeted for outdoor advertisements. PMID:17146710

  15. Neighborhood Disorder, Spiritual Well-Being, and Parenting Stress in African American Women

    PubMed Central

    Lamis, Dorian A.; Wilson, Christina K.; Tarantino, Nicholas; Lansford, Jennifer E.; Kaslow, Nadine J.

    2014-01-01

    Using a culturally-informed risk-protective framework, the purpose of this study was to examine spiritual well-being (existential, religious) as a moderator (protective factor) in the relation between neighborhood disorder (risk factor) and parenting stress in among a high risk sample of low-socioeconomic status (SES), African American women (N = 144). These women, who were primary caregivers of children aged between 8 and 12 reported on disorder in their existential and religious well-being, neighborhoods, and three types of parenting stress. Women who perceived more disorder in their neighborhood had more parenting stress, and women who reported more existential and religious well-being had less parenting stress. Existential (characterized by a sense of purpose in life), but not religious (characterized by a sense of life in relationship with God) well-being, moderated the relation between neighborhood disorder and all types of parenting stress such that women with medium or high levels of existential well-being had low levels of parenting stress at low levels of neighborhood disorder, but higher levels of parenting stress at higher levels of neighborhood disorder. No moderation effects were found at low levels of existential well-being. Results are framed in a context that emphasizes their relevance to incorporating family interventions that bolster culturally relevant resilience factors, such as spirituality, pertinent to low-SES African American families. PMID:24707802

  16. Asthma prevalence and school-related hazardous air pollutants in the US-México border area.

    PubMed

    Carrillo, Genny; Perez Patron, Maria J; Johnson, Natalie; Zhong, Yan; Lucio, Rose; Xu, Xiaohui

    2018-04-01

    Asthma is the most common chronic disease in children and has been linked to high levels of ambient air pollution and certain hazardous air pollutants (HAPs). Outdoor pollutants such as benzene, released by car emissions, and organic chemicals found in diesel exhaust, as well as particles and irritant gases, including nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), and ozone (O 3 ), contribute to an increased prevalence of respiratory diseases such as asthma. The objectives of this study were to: 1) conduct a screening survey to identify high risk for asthma among school-age children in Hidalgo County, and, 2) study the potential health impact of school-related exposure to HAPs pertaining to asthma risk. We carried out a quantitative cross-sectional study combining a school-based asthma screening survey across 198 schools in Hidalgo County, Texas, with information on school neighborhood environments, including census tract-level information on hazardous air pollutants (HAPs) and socioeconomic status (SES) in the respective school neighborhoods. HAPs levels were assessed based on the EPA 2011 National-Scale Air Toxics Assessment (NATA) while SES information was assessed using data from the 2010-2014 American Community Survey. 2930 students completed the asthma screening survey and results showed an overall asthma prevalence of 9.4%, slightly higher than the national and state prevalence. Participants in the 14-18 years old age group showed a much higher asthma prevalence of 16.7%. When assessing school-neighborhood characteristics, our results revealed no significant differences in asthma prevalence across census tracts with different SES levels. For HAPs, in the single-pollutant model, chlorine levels showed a significant linear trend for prevalence of asthma (p=0.03) while hydrochloric acid had a marginally significant linear trend (p=0.08). The association with chlorine remained significant in the multi-pollutant model. Asthma prevalence among school-age children in Hidalgo County, Texas, is 9.4%, which is slightly higher than the state rate, especially among young adults, ages 14-18 years who had an asthma rate of 16.7%. Results support an association between exposures to school-neighborhood HAPs and risk for pediatric asthma, especially as related to chlorine. No significant effects of school-level SES on asthma risk were observed. Published by Elsevier Inc.

  17. Community and Individual Risk Factors for Physical Child Abuse and Child Neglect: Variations by Poverty Status.

    PubMed

    Maguire-Jack, Kathryn; Font, Sarah A

    2017-08-01

    Families are impacted by a variety of risk and protective factors for maltreatment at multiple levels of the social ecology. Individual- and neighborhood-level poverty has consistently been shown to be associated with higher risk for child abuse and neglect. The current study sought to understand the ways in which individual- and neighborhood-level risk and protective factors affect physical child abuse and child neglect and whether these factors differed for families based on their individual poverty status. Specifically, we used a three-level hierarchical linear model (families nested within census tracts and nested within cities) to estimate the relationships between physical child abuse and child neglect and neighborhood structural factors, neighborhood processes, and individual characteristics. We compared these relationships between lower and higher income families in a sample of approximately 3,000 families from 50 cities in the State of California. We found that neighborhood-level disadvantage was especially detrimental for families in poverty and that neighborhood-level protective processes (social) were not associated with physical child abuse and child neglect for impoverished families, but that they had a protective effect for higher income families.

  18. Multilevel Associations of Neighborhood Poverty, Crime, and Satisfaction With Blood Pressure in African-American Adults.

    PubMed

    Coulon, Sandra M; Wilson, Dawn K; Alia, Kassandra A; Van Horn, M Lee

    2016-01-01

    African-American adults experience the highest rates of elevated blood pressure (BP), and this disparity may be linked to socioeconomic and neighborhood-related disadvantage. Based on a bioecological stress-buffering framework, relations of poverty and neighborhood environmental perceptions with BP were assessed using multilevel regression in at-risk African-American adults. This cross-sectional study used baseline data that were collected in 2008 as part of the Positive Action for Today's Health (PATH) trial (N = 409), a community-based intervention to increase walking in low-income, high-crime neighborhoods. BP and perceived neighborhood crime and satisfaction were investigated as individual-level indicators of health and neighborhood environment. Census block groups (N = 22) served as geographic proxies for neighborhoods, and poverty was obtained using 2010 U.S. Census data, to characterize the neighborhood-level socioeconomic environment. There were no individual-level direct associations. Significant cross-product interactions demonstrated that with higher perceived crime, high satisfaction was associated with lower systolic (γ = 3.34) and diastolic (γ = -1.37) BP, but low satisfaction was associated with higher systolic (γ = 15.12) and diastolic (γ = 7.57) BP. Neighborhood-level poverty was associated with diastolic (γ = 11.48, SE = 4.08, P = 0.008) and systolic BP (γ = 12.79, SE = 6.33, P = 0.052). Variance in BP across block groups was low (intraclass correlation coefficients = 0.002-0.014) and there were no significant random effects. Results supported hypotheses, with greater neighborhood satisfaction linked to lower systolic and diastolic BP when perceived crime was high. Neighborhood poverty was also linked to higher systolic and diastolic BP. Prevention efforts should further investigate whether attending to issues of poverty and related neighborhood perceptions reduces high BP in at-risk African-American communities. © Published by Oxford University Press on behalf of American Journal of Hypertension Ltd 2015. This work is written by (a) US Government employees(s) and is in the public domain in the US.

  19. Multilevel Associations of Neighborhood Poverty, Crime, and Satisfaction With Blood Pressure in African-American Adults

    PubMed Central

    Wilson, Dawn K.; Alia, Kassandra A.; Van Horn, M. Lee

    2016-01-01

    BACKGROUND African-American adults experience the highest rates of elevated blood pressure (BP), and this disparity may be linked to socioeconomic and neighborhood-related disadvantage. Based on a bioecological stress-buffering framework, relations of poverty and neighborhood environmental perceptions with BP were assessed using multilevel regression in at-risk African-American adults. METHODS This cross-sectional study used baseline data that were collected in 2008 as part of the Positive Action for Today’s Health (PATH) trial (N = 409), a community-based intervention to increase walking in low-income, high-crime neighborhoods. BP and perceived neighborhood crime and satisfaction were investigated as individual-level indicators of health and neighborhood environment. Census block groups (N = 22) served as geographic proxies for neighborhoods, and poverty was obtained using 2010U.S. Census data, to characterize the neighborhood-level socioeconomic environment. RESULTS There were no individual-level direct associations. Significant cross–product interactions demonstrated that with higher perceived crime, high satisfaction was associated with lower systolic (γ = 3.34) and diastolic (γ = −1.37) BP, but low satisfaction was associated with higher systolic (γ = 15.12) and diastolic (γ = 7.57) BP. Neighborhood-level poverty was associated with diastolic (γ = 11.48, SE = 4.08, P = 0.008) and systolic BP (γ = 12.79, SE = 6.33, P = 0.052). Variance in BP across block groups was low (intraclass correlation coefficients = 0.002–0.014) and there were no significant random effects. CONCLUSIONS Results supported hypotheses, with greater neighborhood satisfaction linked to lower systolic and diastolic BP when perceived crime was high. Neighborhood poverty was also linked to higher systolic and diastolic BP. Prevention efforts should further investigate whether attending to issues of poverty and related neighborhood perceptions reduces high BP in at-risk African-American communities. PMID:25917562

  20. Relationship Between Tobacco Retailers' Point-of-Sale Marketing and the Density of Same-Sex Couples, 97 U.S. Counties, 2012.

    PubMed

    Lee, Joseph G L; Goldstein, Adam O; Pan, William K; Ribisl, Kurt M

    2015-07-28

    The reasons for higher rates of smoking among lesbian, gay, and bisexual (LGB) people than among heterosexual people are not well known. Research on internal migration and neighborhood selection suggests that LGB people are more likely to live in neighborhoods where the tobacco industry has historically targeted their marketing efforts (lower income, more racial/ethnic diversity). We used multi-level models to assess the relationship between the rate of same-sex couples per 1000 coupled households and 2012 marketing characteristics of tobacco retailers (n = 2231) in 1696 census tracts in 97 U.S. counties. We found no evidence of tobacco marketing at retailers differing by same-sex couple rates in census tracts with the exception of three findings in the opposite direction of our hypotheses: a small, significant positive relationship for the rate of same-sex male couples and the price of Newport Green (mentholated) cigarettes. For male and female same-sex couples, we also found a small negative relationship between tobacco advertisements and same-sex household rate. Tobacco retailers' tobacco marketing characteristics do not differ substantially by the rate of same-sex couples in their neighborhood in ways that would promote LGB health disparities. Further work is needed to determine if these patterns are similar for non-partnered LGB people.

  1. Neighborhood Context and Financial Strain as Predictors of Marital Interaction and Marital Quality in African American Couples

    PubMed Central

    Cutrona, Carolyn E.; Russell, Daniel W.; Abraham, W. Todd; Gardner, Kelli A.; Melby, Janet N.; Bryant, Chalandra; Conger, Rand D.

    2007-01-01

    Demographic characteristics, family financial strain, neighborhood-level economic disadvantage, and state of residence were tested as predictors of observed warmth, hostility, and self-reported marital quality. Participants were 202 married African American couples who resided in a range of neighborhood contexts. Neighborhood-level economic disadvantage predicted lower warmth during marital interactions, as did residence in the rural south. Consistent with the family stress model (e.g., Conger & Elder, 1994), family financial strain predicted lower perceived marital quality. Unexpectedly, neighborhood-level economic disadvantage predicted higher marital quality. Social comparison processes and degree of exposure to racially based discrimination are considered as explanations for this unexpected result. The importance of context in relationship outcomes is highlighted. PMID:17955056

  2. Neighborhood Environmental Health and Premature Death From Cardiovascular Disease.

    PubMed

    Gaglioti, Anne H; Xu, Junjun; Rollins, Latrice; Baltrus, Peter; O'Connell, Laura Kathryn; Cooper, Dexter L; Hopkins, Jammie; Botchwey, Nisha D; Akintobi, Tabia Henry

    2018-02-01

    Cardiovascular disease (CVD) is the leading cause of death in the United States and disproportionately affects racial/ethnic minority groups. Healthy neighborhood conditions are associated with increased uptake of health behaviors that reduce CVD risk, but minority neighborhoods often have poor food access and poor walkability. This study tested the community-driven hypothesis that poor access to food at the neighborhood level and poor neighborhood walkability are associated with racial disparities in premature deaths from CVD. We examined the relationship between neighborhood-level food access and walkability on premature CVD mortality rates at the census tract level for the city of Atlanta using multivariable logistic regression models. We produced maps to illustrate premature CVD mortality, food access, and walkability by census tract for the city. We found significant racial differences in premature CVD mortality rates and geographic disparities in food access and walkability among census tracts in Atlanta. Improved food access and walkability were associated with reduced overall premature CVD mortality in unadjusted models, but this association did not persist in models adjusted for census tract population composition and poverty. Census tracts with high concentrations of minority populations had higher levels of poor food access, poor walkability, and premature CVD mortality. This study highlights disparities in premature CVD mortality and neighborhood food access and walkability at the census tract level in the city of Atlanta. Improving food access may have differential effects for subpopulations living in the same area. These results can be used to calibrate neighborhood-level interventions, and they highlight the need to examine race-specific health outcomes.

  3. Neighborhood Environmental Health and Premature Death From Cardiovascular Disease

    PubMed Central

    Xu, Junjun; Rollins, Latrice; Baltrus, Peter; O’Connell, Laura Kathryn; Cooper, Dexter L.; Hopkins, Jammie; Botchwey, Nisha D.; Akintobi, Tabia Henry

    2018-01-01

    Introduction Cardiovascular disease (CVD) is the leading cause of death in the United States and disproportionately affects racial/ethnic minority groups. Healthy neighborhood conditions are associated with increased uptake of health behaviors that reduce CVD risk, but minority neighborhoods often have poor food access and poor walkability. This study tested the community-driven hypothesis that poor access to food at the neighborhood level and poor neighborhood walkability are associated with racial disparities in premature deaths from CVD. Methods We examined the relationship between neighborhood-level food access and walkability on premature CVD mortality rates at the census tract level for the city of Atlanta using multivariable logistic regression models. We produced maps to illustrate premature CVD mortality, food access, and walkability by census tract for the city. Results We found significant racial differences in premature CVD mortality rates and geographic disparities in food access and walkability among census tracts in Atlanta. Improved food access and walkability were associated with reduced overall premature CVD mortality in unadjusted models, but this association did not persist in models adjusted for census tract population composition and poverty. Census tracts with high concentrations of minority populations had higher levels of poor food access, poor walkability, and premature CVD mortality. Conclusion This study highlights disparities in premature CVD mortality and neighborhood food access and walkability at the census tract level in the city of Atlanta. Improving food access may have differential effects for subpopulations living in the same area. These results can be used to calibrate neighborhood-level interventions, and they highlight the need to examine race-specific health outcomes. PMID:29389312

  4. Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity

    PubMed Central

    Nguyen, Quynh C; Kath, Suraj; Meng, Hsien-Wen; Li, Dapeng; Smith, Ken Robert; VanDerslice, James A.; Wen, Ming; Li, Feifei

    2016-01-01

    Objectives Using publicly available, geotagged Twitter data, we created neighborhood indicators for happiness, food and physical activity for three large counties: Salt Lake, San Francisco and New York. Methods We utilize 2.8 million tweets collected between February-August 2015 in our analysis. Geo-coordinates of where tweets were sent allow us to spatially join them to 2010 census tract locations. We implemented quality control checks and tested associations between Twitter-derived variables and sociodemographic characteristics. Results For a random subset of tweets, manually labeled tweets and algorithm labeled tweets had excellent levels of agreement: 73% for happiness; 83% for food, and 85% for physical activity. Happy tweets, healthy food references, and physical activity references were less frequent in census tracts with greater economic disadvantage and higher proportions of racial/ethnic minorities and youths. Conclusions Social media can be leveraged to provide greater understanding of the well-being and health behaviors of communities—information that has been previously difficult and expensive to obtain consistently across geographies. More open access neighborhood data can enable better design of programs and policies addressing social determinants of health. PMID:28533568

  5. Neighborhood-Specific and General Social Support: Which Buffers the Effect of Neighborhood Disorder on Depression?

    ERIC Educational Resources Information Center

    Kim, Joongbaeck; Ross, Catherine E.

    2009-01-01

    Is neighborhood-specific social support the most effective type of social support for buffering the effect of neighborhood disorder on depression? Matching theory suggests that it is. The authors extend the research on neighborhood disorder and adult depression by showing that individuals who have higher levels of both general and…

  6. Deprivation and suicide mortality across 424 neighborhoods in Seoul, South Korea: a Bayesian spatial analysis.

    PubMed

    Yoon, Tae-Ho; Noh, Maengseok; Han, Junhee; Jung-Choi, Kyunghee; Khang, Young-Ho

    2015-12-01

    A neighborhood-level analysis of mortality from suicide would be informative in developing targeted approaches to reducing suicide. This study aims to examine the association of community characteristics with suicide in the 424 neighborhoods of Seoul, South Korea. Neighborhood-level mortality and population data (2005-2011) were obtained to calculate age-standardized suicide rates. Eight community characteristics and their associated deprivation index were employed as determinants of suicide rates. The Bayesian hierarchical model with mixed effects for neighborhoods was used to fit age-standardized suicide rates and other covariates with consideration of spatial correlations. Suicide rates for 424 neighborhoods were between 7.32 and 71.09 per 100,000. Ninety-nine percent of 424 neighborhoods recorded greater suicide rates than the Organization for Economic Cooperation and Development member countries' average. A stepwise relationship between area deprivation and suicide was found. Neighborhood-level indicators for lack of social support (residents living alone and the divorced or separated) and socioeconomic disadvantages (low educational attainment) were positively associated with suicide mortality after controlling for other covariates. Finding from this study could be used to identify priority areas and to develop community-based programs for preventing suicide in Seoul, South Korea.

  7. Methods to Measure the Impact of Home, Social, and Sexual Neighborhoods of Urban Gay, Bisexual, and Other Men Who Have Sex with Men

    PubMed Central

    Koblin, Beryl A.; Egan, James E.; Rundle, Andrew; Quinn, James; Tieu, Hong-Van; Cerdá, Magdalena; Ompad, Danielle C.; Greene, Emily; Hoover, Donald R.; Frye, Victoria

    2013-01-01

    Men who have sex with men (MSM) accounted for 61% of new HIV diagnoses in the United States in 2010. Recent analyses indicate that socio-structural factors are important correlates of HIV infection. NYCM2M was a cross-sectional study designed to identify neighborhood-level characteristics within the urban environment that influence sexual risk behaviors, substance use and depression among MSM living in New York City. The sample was recruited using a modified venue-based time-space sampling methodology and through select websites and mobile applications. This paper describes novel methodological approaches used to improve the quality of data collected for analysis of the impact of neighborhoods on MSM health. Previous research has focused predominately on residential neighborhoods and used pre-determined administrative boundaries (e.g., census tracts) that often do not reflect authentic and meaningful neighborhoods. This study included the definition and assessment of multiple neighborhoods of influence including where men live (home neighborhood), socialize (social neighborhood) and have sex (sexual neighborhood). Furthermore, making use of technological advances in mapping, we collected geo-points of reference for each type of neighborhood and identified and constructed self-identified neighborhood boundary definitions. Finally, this study collected both perceived neighborhood characteristics and objective neighborhood conditions to create a comprehensive, flexible and rich neighborhood-level set of covariates. This research revealed that men perceived their home, social and sexual neighborhoods in different ways. Few men (15%) had the same home, social and sexual neighborhoods; for 31%, none of the neighborhoods was the same. Of the three types of neighborhoods, the number of unique social neighborhoods was the lowest; the size of sexual neighborhoods was the smallest. The resultant dataset offers the opportunity to conduct analyses that will yield context-specific and nuanced understandings of the relations among neighborhood space, and the well-being and health of urban MSM. PMID:24146785

  8. Methods to measure the impact of home, social, and sexual neighborhoods of urban gay, bisexual, and other men who have sex with men.

    PubMed

    Koblin, Beryl A; Egan, James E; Rundle, Andrew; Quinn, James; Tieu, Hong-Van; Cerdá, Magdalena; Ompad, Danielle C; Greene, Emily; Hoover, Donald R; Frye, Victoria

    2013-01-01

    Men who have sex with men (MSM) accounted for 61% of new HIV diagnoses in the United States in 2010. Recent analyses indicate that socio-structural factors are important correlates of HIV infection. NYCM2M was a cross-sectional study designed to identify neighborhood-level characteristics within the urban environment that influence sexual risk behaviors, substance use and depression among MSM living in New York City. The sample was recruited using a modified venue-based time-space sampling methodology and through select websites and mobile applications. This paper describes novel methodological approaches used to improve the quality of data collected for analysis of the impact of neighborhoods on MSM health. Previous research has focused predominately on residential neighborhoods and used pre-determined administrative boundaries (e.g., census tracts) that often do not reflect authentic and meaningful neighborhoods. This study included the definition and assessment of multiple neighborhoods of influence including where men live (home neighborhood), socialize (social neighborhood) and have sex (sexual neighborhood). Furthermore, making use of technological advances in mapping, we collected geo-points of reference for each type of neighborhood and identified and constructed self-identified neighborhood boundary definitions. Finally, this study collected both perceived neighborhood characteristics and objective neighborhood conditions to create a comprehensive, flexible and rich neighborhood-level set of covariates. This research revealed that men perceived their home, social and sexual neighborhoods in different ways. Few men (15%) had the same home, social and sexual neighborhoods; for 31%, none of the neighborhoods was the same. Of the three types of neighborhoods, the number of unique social neighborhoods was the lowest; the size of sexual neighborhoods was the smallest. The resultant dataset offers the opportunity to conduct analyses that will yield context-specific and nuanced understandings of the relations among neighborhood space, and the well-being and health of urban MSM.

  9. Collective Efficacy and the Contingent Consequences of Exposure to Life-Threatening Violence

    ERIC Educational Resources Information Center

    Browning, Christopher R.; Gardner, Margo; Maimon, David; Brooks-Gunn, Jeanne

    2014-01-01

    Neighborhood research has increasingly emphasized the potential for contextual characteristics to moderate the effects of youths' experiences on their outcomes. Drawing on collective efficacy theory, we examine the variable consequences of youths' exposures to life-threatening violence across neighborhoods. We argue that strong community normative…

  10. Neighborhood Context and Racial Attitudes.

    ERIC Educational Resources Information Center

    Kim, Yoon Hough

    Using a random sample of 231 married white women in a Southern town, contextual effects of 3 neighborhood variables were investigated in this study. Socioeconomic status (SES), racial composition, and residential mobility were defined, and their effect on racial attitudes was determined. It was found that: (1) high SES housewives were less…

  11. Does perceived neighborhood walkability and safety mediate the association between education and meeting physical activity guidelines?

    PubMed

    Pratt, Michael; Yin, Shaoman; Soler, Robin; Njai, Rashid; Siegel, Paul Z; Liao, Youlian

    2015-04-09

    The role of neighborhood walkability and safety in mediating the association between education and physical activity has not been quantified. We used data from the 2010 and 2012 Communities Putting Prevention to Work Behavioral Risk Factor Surveillance System and structural equation modeling to estimate how much of the effect of education level on physical activity was mediated by perceived neighborhood walkability and safety. Neighborhood walkability accounts for 11.3% and neighborhood safety accounts for 6.8% of the effect. A modest proportion of the important association between education and physical activity is mediated by perceived neighborhood walkability and safety, suggesting that interventions focused on enhancing walkability and safety could reduce the disparity in physical activity associated with education level.

  12. The Association Between Neighborhood Poverty and HIV Diagnoses Among Males and Females in New York City, 2010-2011.

    PubMed

    Wiewel, Ellen W; Bocour, Angelica; Kersanske, Laura S; Bodach, Sara D; Xia, Qiang; Braunstein, Sarah L

    2016-01-01

    We assessed the association of neighborhood poverty with HIV diagnosis rates for males and females in New York City. We calculated annual HIV diagnosis rates by ZIP Code, sex, and neighborhood poverty level using 2010-2011 New York City (NYC) HIV surveillance data and data from the U.S. Census 2010 and American Community Survey 2007-2011. Neighborhood poverty levels were percentage of residents in a ZIP Code with incomes below the federal poverty threshold, categorized as 0%-<10% (low poverty), 10%-<20% (medium poverty), 20%-<30% (high poverty), and 30%-100% (very high poverty). We used sex-stratified negative binomial regression models to measure the association between neighborhood-level poverty and HIV diagnosis rates, controlling for neighborhood-level education, race/ethnicity, age, and percentage of men who have sex with men. In 2010-2011, 6,184 people were newly diagnosed with HIV. Median diagnosis rates per 100,000 population increased by neighborhood poverty level overall (13.7, 34.3, 50.6, and 75.6 for low-, medium-, high-, and very high-poverty ZIP Codes, respectively), for males, and for females. In regression models, higher neighborhood poverty remained associated with higher diagnosis rates among males (adjusted rate ratio [ARR] = 1.63, 95% confidence interval [CI] 1.34, 1.97) and females (ARR=2.14, 95% CI 1.46, 3.14) for very high- vs. low-poverty ZIP Codes. Living in very high- vs. low-poverty urban neighborhoods was associated with increased HIV diagnosis rates. After controlling for other factors, the association between poverty and diagnosis rates was stronger among females than among males. Alleviating poverty may help decrease HIV-related disparities.

  13. The Association Between Neighborhood Poverty and HIV Diagnoses Among Males and Females in New York City, 2010–2011

    PubMed Central

    Bocour, Angelica; Kersanske, Laura S.; Bodach, Sara D.; Xia, Qiang; Braunstein, Sarah L.

    2016-01-01

    Objective We assessed the association of neighborhood poverty with HIV diagnosis rates for males and females in New York City. Methods We calculated annual HIV diagnosis rates by ZIP Code, sex, and neighborhood poverty level using 2010–2011 New York City (NYC) HIV surveillance data and data from the U.S. Census 2010 and American Community Survey 2007–2011. Neighborhood poverty levels were percentage of residents in a ZIP Code with incomes below the federal poverty threshold, categorized as 0%–<10% (low poverty), 10%–<20% (medium poverty), 20%–<30% (high poverty), and 30%–100% (very high poverty). We used sex-stratified negative binomial regression models to measure the association between neighborhood-level poverty and HIV diagnosis rates, controlling for neighborhood-level education, race/ethnicity, age, and percentage of men who have sex with men. Results In 2010–2011, 6,184 people were newly diagnosed with HIV. Median diagnosis rates per 100,000 population increased by neighborhood poverty level overall (13.7, 34.3, 50.6, and 75.6 for low-, medium-, high-, and very high-poverty ZIP Codes, respectively), for males, and for females. In regression models, higher neighborhood poverty remained associated with higher diagnosis rates among males (adjusted rate ratio [ARR] = 1.63, 95% confidence interval [CI] 1.34, 1.97) and females (ARR=2.14, 95% CI 1.46, 3.14) for very high- vs. low-poverty ZIP Codes. Conclusion Living in very high- vs. low-poverty urban neighborhoods was associated with increased HIV diagnosis rates. After controlling for other factors, the association between poverty and diagnosis rates was stronger among females than among males. Alleviating poverty may help decrease HIV-related disparities. PMID:26957664

  14. The changing distribution and determinants of obesity in the neighborhoods of New York City, 2003-2007.

    PubMed

    Black, Jennifer L; Macinko, James

    2010-04-01

    Obesity (body mass index >or=30 kg/m(2)) is a growing urban health concern, but few studies have examined whether, how, or why obesity prevalence has changed over time within cities. This study characterized the individual- and neighborhood-level determinants and distribution of obesity in New York City from 2003 to 2007. Individual-level data from the Community Health Survey (n = 48,506 adults, 34 neighborhoods) were combined with neighborhood measures. Multilevel regression assessed changes in obesity over time and associations with neighborhood-level income and food and physical activity amenities, controlling for age, racial/ethnic identity, education, employment, US nativity, and marital status, stratified by gender. Obesity rates increased by 1.6% (P < 0.05) each year, but changes over time differed significantly between neighborhoods and by gender. Obesity prevalence increased for women, even after controlling for individual- and neighborhood-level factors (prevalence ratio = 1.021, P < 0.05), whereas no significant changes were reported for men. Neighborhood factors including increased area income (prevalence ratio = 0.932) and availability of local food and fitness amenities (prevalence ratio = 0.889) were significantly associated with reduced obesity (P < 0.001). Findings suggest that policies to reduce obesity in urban environments must be informed by up-to-date surveillance data and may require a variety of initiatives that respond to both individual and contextual determinants of obesity.

  15. Multi-system influences on adolescent risky sexual behavior.

    PubMed

    Chen, Angela Chia-Chen; Thompson, Elaine Adams; Morrison-Beedy, Dianne

    2010-12-01

    We examined multi-system influences on risky sexual behavior measured by cumulative sexual risk index and number of nonromantic sexual partners among 4,465 single, sexually experienced adolescents. Hierarchical Poisson regression analyses were conducted with Wave I-II data from the National Longitudinal Study of Adolescent Health. Individual and family factors predicted both outcome measures. Neighborhood set predicted cumulative sexual risk index only, and peer factors predicted the number of nonromantic sexual partners only. School set did not predict either outcome. There were significant associations among risky sexual behavior, drug use, and delinquent behaviors. The results highlight the need for multifaceted prevention programs that address relevant factors related to family, peer and neighborhood influence as well as individual factors among sexually active adolescents. Copyright © 2010 Wiley Periodicals, Inc.

  16. [Association between social deprivation and causes of mortality among elderly residents in the city of Recife, Pernambuco State, Brazil].

    PubMed

    Silva, Vanessa de Lima; Leal, Márcia Carréra Campos; Marino, Jacira Guiro; Marques, Ana Paula de Oliveira

    2008-05-01

    This paper aims to analyze mortality among elderly residents in the city of Recife, Pernambuco State, Brazil, and its association with social deprivation (hardship) in the year 2000. An ecological study was performed, and 94 neighborhoods and 5 social strata were analyzed. The independent variable consisted of a composite social deprivation indicator, obtained for each neighborhood and calculated through a scoring technique based on census variables: water supply, sewage, illiteracy, and head-of-household's years of schooling and income. The dependent variables were: mortality rate in individuals > 60 years of age and cause-specific mortality rates. The association was calculated by means of the Pearson correlation coefficient, linear regression, and mortality odds between social deprivation strata formed by grouping of neighborhoods according to the indicator's quintiles. The data show a statistically significant positive correlation between social deprivation and mortality in the elderly from pneumonia, protein-energy malnutrition, tuberculosis, diarrhea/gastroenteritis, and traffic accidents, and a negative correlation with deaths from bronchopulmonary and breast cancers.

  17. Is gentrification all bad? Positive association between gentrification and individual's perceived neighborhood collective efficacy in Montreal, Canada.

    PubMed

    Steinmetz-Wood, Madeleine; Wasfi, Rania; Parker, George; Bornstein, Lisa; Caron, Jean; Kestens, Yan

    2017-07-14

    Collective efficacy has been associated with many health benefits at the neighborhood level. Therefore, understanding why some communities have greater collective efficacy than others is important from a public health perspective. This study examined the relationship between gentrification and collective efficacy, in Montreal Canada. A gentrification index was created using tract level median household income, proportion of the population with a bachelor's degree, average rent, proportion of the population with low income, and proportion of the population aged 30-44. Multilevel linear regression analyses were conducted to measure the association between gentrification and individual level collective efficacy. Gentrification was positively associated with collective efficacy. Gentrifiers (individuals moving into gentrifying neighborhoods) had higher collective efficacy than individuals that lived in a neighborhood that did not gentrify. Perceptions of collective efficacy of the original residents of gentrifying neighborhoods were not significantly different from the perceptions of neighborhood collective efficacy of gentrifiers. Our results indicate that gentrification was positively associated with perceived collective efficacy. This implies that gentrification could have beneficial health effects for individuals living in gentrifying neighborhoods.

  18. Tensor Train Neighborhood Preserving Embedding

    NASA Astrophysics Data System (ADS)

    Wang, Wenqi; Aggarwal, Vaneet; Aeron, Shuchin

    2018-05-01

    In this paper, we propose a Tensor Train Neighborhood Preserving Embedding (TTNPE) to embed multi-dimensional tensor data into low dimensional tensor subspace. Novel approaches to solve the optimization problem in TTNPE are proposed. For this embedding, we evaluate novel trade-off gain among classification, computation, and dimensionality reduction (storage) for supervised learning. It is shown that compared to the state-of-the-arts tensor embedding methods, TTNPE achieves superior trade-off in classification, computation, and dimensionality reduction in MNIST handwritten digits and Weizmann face datasets.

  19. [The importance of neighborhood social cohesion and social capital for the well being of older adults in the community].

    PubMed

    Cramm, J M; van Dijk, H M; Nieboer, A P

    2013-04-01

    We aimed to investigate whether social capital (obtaining support through indirect ties such as from neighbors) and social cohesion (interdependencies among neighbors) within neighborhoods positively affect the well-being of older adults. This cross-sectional study included 945/1440 (66 % response rate) independently living older adults (aged >70 years) in Rotterdam. We fitted a hierarchical random-effects model to account for the hierarchical structure of the study design: 945 older adults (level 1) nested in 72 neighborhoods (level 2). Univariate analyses showed that being born in the Netherlands, house ownership, education, income, social capital of individuals, neighborhood security, neighborhood services, neighborhood social capital, and neighborhood social cohesion were significantly related to the well-being of older adults. Multilevel analyses showed that social capital of individuals, neighborhood services, neighborhood social capital, and neighborhood social cohesion predicted the well-being of older adults. Single and poor older adults reported lower well-being than did better-off and married older adults. However, the effects of marital status and income were mediated by neighborhood services, social capital, and social cohesion. Neighborhood services, social capital and social cohesion may act as buffer against the adverse effects of being single and poor on the well-being of older adults. The results of this study support the importance of social capital of individuals, as well as social capital within the neighborhood and social cohesion within the neighborhood for well-being of older adults. The well-being of older adults may also be enhanced through the improvement of quality of neighborhood services.

  20. The importance of neighborhood social cohesion and social capital for the well being of older adults in the community.

    PubMed

    Cramm, Jane M; van Dijk, Hanna M; Nieboer, Anna P

    2013-02-01

    We aimed to investigate whether social capital (obtaining support through indirect ties such as from neighbors) and social cohesion (interdependencies among neighbors) within neighborhoods positively affect the well being of older adults. This cross-sectional study included 945 of 1,440 (66% response rate) independently living older adults (aged ≥70 years) in Rotterdam. We fitted a hierarchical random effects model to account for the hierarchical structure of the study design: 945 older adults (Level 1) nested in 72 neighborhoods (Level 2). Univariate analyses showed that being born in the Netherlands, house ownership, education, income, social capital of individuals, neighborhood security, neighborhood services, neighborhood social capital, and neighborhood social cohesion were significantly related to the well being of older adults. Multilevel analyses showed that social capital of individuals, neighborhood services, neighborhood social capital, and neighborhood social cohesion predicted the well being of older adults. Single and poor older adults reported lower well being than did better off and married older adults. However, the effects of marital status and income were mediated by neighborhood services, social capital, and social cohesion. Neighborhood services, social capital, and social cohesion may act as buffer against the adverse effects of being single and poor on the well being of older adults. The results of this study support the importance of social capital of individuals, as well as social capital within the neighborhood and social cohesion within the neighborhood for well being of older adults. The well being of older adults may also be enhanced through the improvement of quality of neighborhood services.

  1. Schools, Neighborhood Risk Factors, and Crime

    ERIC Educational Resources Information Center

    Willits, Dale; Broidy, Lisa; Denman, Kristine

    2013-01-01

    Prior research has identified a link between schools (particularly high schools) and neighborhood crime rates. However, it remains unclear whether the relationship between schools and crime is a reflection of other criminogenic dynamics at the neighborhood level or whether schools influence neighborhood crime patterns independently of other…

  2. Neighborhood Differences in Post-Stroke Mortality

    PubMed Central

    Osypuk, Theresa L.; Ehntholt, Amy; Moon, J. Robin; Gilsanz, Paola; Glymour, M. Maria

    2017-01-01

    Background Post-stroke mortality is higher among residents of disadvantaged neighborhoods, but it is not known whether neighborhood inequalities are specific to stroke survival or similar to mortality patterns in the general population. We hypothesized that neighborhood disadvantage would predict higher post-stroke mortality and neighborhood effects would be relatively larger for stroke patients than for individuals with no history of stroke. Methods and Results Health and Retirement Study participants aged 50+ without stroke at baseline (n=15,560) were followed up to 12 years for incident stroke (1,715 events over 159,286 person-years) and mortality (5,325 deaths). Baseline neighborhood characteristics included objective measures based on census tracts (family income, poverty, deprivation, residential stability, and percent white, black or foreign-born) and self-reported neighborhood social ties. Using Cox proportional hazard models, we compared neighborhood mortality effects for people with versus without a history of stroke. Most neighborhood variables predicted mortality for both stroke patients and the general population in demographic-adjusted models. Neighborhood percent white predicted lower mortality for stroke survivors (HR=0.75 for neighborhoods in highest 25th percentile vs. below, 95 % CI: 0.62, 0.91) more strongly than for stroke-free adults (HR=0.92 (0.83, 1.02); p=0.04 for stroke-by-neighborhood interaction). No other neighborhood characteristic had different effects for people with versus without stroke. Neighborhood-mortality associations emerged within three months after stroke, when associations were often stronger than among stroke-free individuals. Conclusions Neighborhood characteristics predict post-stroke mortality, but most effects are similar for individuals without stroke. Eliminating disparities in stroke survival may require addressing pathways that are not specific to traditional post-stroke care. PMID:28228449

  3. The association between neighborhood residential rehabilitation and injection drug use in Baltimore, Maryland, 2000-2011

    PubMed Central

    Linton, Sabriya L.; Jennings, Jacky M.; Latkin, Carl A.; Kirk, Gregory D.; Mehta, Shruti H.

    2014-01-01

    This study utilized multilevel cross-classified models to longitudinally assess the association between neighborhood residential rehabilitation and injection drug use. We also assessed whether relocating between neighborhoods of varying levels of residential rehabilitation was associated with injection drug use. Residential rehabilitation was categorized into three groups (e.g. low, moderate, high), and lagged one visit to ensure temporality. After adjusting for neighborhood and individual-level factors, residence in a neighborhood with moderate residential rehabilitation was associated with a 23% reduction in injection drug use [AOR=0.77; 95% CI (0.67,0.87)]; residence in a neighborhood with high residential rehabilitation was associated with a 26% reduction in injection drug use [AOR=0.74; 95% CI (0.61,0.91)]. Continuous residence within neighborhoods with moderate/high rehabilitation, and relocating to neighborhoods with moderate/high rehabilitation, were associated with a lower likelihood of injection drug use. Additional studies are needed to understand the mechanisms behind these relationships. PMID:24840154

  4. Multi-scale spatial controls of understory vegetation in Douglas-fir–western hemlock forests of western Oregon, USA

    Treesearch

    Julia I. Burton; Lisa M. Ganio; Klaus J. Puettmann

    2014-01-01

    Forest understory vegetation is influenced by broad-scale variation in climate, intermediate scale variation in topography, disturbance and neighborhood interactions. However, little is known about how these multi-scale controls interact to influence observed spatial patterns. We examined relationships between the aggregated cover of understory plant species (%...

  5. Use of Theory to Examine Health Responsibility in Urban Adolescents.

    PubMed

    Ayres, Cynthia G; Pontes, Nancy M

    The study's purpose was to examine the factors that may influence health responsibility among adolescents. More specifically, this study examined relationships among health responsibility, resilience, neighborhood perception, social support, and health promoting behaviors in adolescents, between the ages of 13 and 18years old. The Health Promotion Model was used as the theoretical framework. This study empirically tested theoretical relationships postulated in the literature between health responsibility and the variables: (a) resilience (b) social support (c) neighborhood perception (d) social support and (e) health promoting behaviors. A correlational study design was used. A convenience sample of 122 adolescents in an urban setting completed questionnaires assessing health responsibility, resilience, social support, neighborhood perception, health promoting behaviors, and a demographic questionnaire. Pearson correlations were used to examine relationships among variables. A statistically significant relationship was found between health responsibility and healthy promoting behaviors (r=0.733, p<0.001) and between health responsibility and neighborhood perception (r=0.163, p<0.01). No relationships were found between the dependent variable of health responsibility and the independent variables of resilience and social support in this population. Study findings help contribute to the body of knowledge regarding the factors that influence health responsibility among urban adolescents to promote adoption and maintenance of healthy behaviors among this population. Nurses need to educate adolescents to provide them with a good understanding of the consequences of health behaviors so that they can assess their own risk and make responsible, healthy choices. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. Double-jeopardy: The joint impact of neighborhood disadvantage and low social cohesion on cumulative risk of disease among African American men and women in the Jackson Heart Study.

    PubMed

    Barber, Sharrelle; Hickson, DeMarc A; Kawachi, Ichiro; Subramanian, S V; Earls, Felton

    2016-03-01

    Few studies have examined the joint impact of neighborhood disadvantage and low social cohesion on health. Moreover, no study has considered the joint impact of these factors on a cumulative disease risk profile among a large sample of African American adults. Using data from the Jackson Heart Study, we examined the extent to which social cohesion modifies the relationship between neighborhood disadvantage and cumulative biological risk (CBR)-a measure of accumulated risk across multiple physiological systems. Our analysis included 4408 African American women and men ages 21-85 residing in the Jackson, MS Metropolitan Area. We measured neighborhood disadvantage using a composite score of socioeconomic indicators from the 2000 US Census and social cohesion was assessed using a 5-item validated scale. Standardized z-scores of biomarkers representing cardiovascular, metabolic, inflammatory, and neuroendocrine systems were combined to create a CBR score. We used two-level linear regression models with random intercepts adjusting for socio-demographic and behavioral covariates in the analysis. A three-way interaction term was included to examine whether the relationship between neighborhood disadvantage and CBR differed by levels of social cohesion and gender. The interaction between neighborhood disadvantage, social cohesion and gender was statistically significant (p = 0.05) such that the association between living in a disadvantaged neighborhood and CBR was strongest for men living in neighborhoods with low levels of social cohesion (B = 0.63, SE: 0.32). In gender-specific models, we found a statistically significant interaction between neighborhood disadvantage and social cohesion for men (p = 0.05) but not for women (p = 0.50). Neighborhoods characterized by high levels of economic disadvantage and low levels of social cohesion contribute to higher cumulative risk of disease among African American men. This suggests that they may face a unique set of challenges that put them at greater risk in these settings. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. Double-Jeopardy: The Joint Impact of Neighborhood Disadvantage and Low Social Cohesion on Cumulative Risk of Disease Among African American Men and Women in the Jackson Heart Study

    PubMed Central

    Barber, Sharrelle; Hickson, DeMarc A.; Kawachi, Ichiro; Subramanian, S.V.; Earls, Felton

    2016-01-01

    Objectives Few studies have examined the joint impact of neighborhood disadvantage and low social cohesion on health. Moreover, no study has considered the joint impact of these factors on a cumulative disease risk profile among a large sample of African American adults. Using data from the Jackson Heart Study, we examined the extent to which social cohesion modifies the relationship between neighborhood disadvantage and cumulative biological risk (CBR)—a measure of accumulated risk across multiple physiological systems. Methods Our analysis included 4,408 African American women and men ages 21–85 residing in the Jackson, MS Metropolitan Area. We measured neighborhood disadvantage using a composite score of socioeconomic indicators from the 2000 US Census and social cohesion was assessed using a 5-item validated scale. Standardized z-scores of biomarkers representing cardiovascular, metabolic, inflammatory, and neuroendocrine systems were combined to create a CBR score. We used two-level linear regression models with random intercepts adjusting for socio-demographic and behavioral covariates in the analysis. A three-way interaction term was included to examine whether the relationship between neighborhood disadvantage and CBR differed by levels of social cohesion and gender. Results The interaction between neighborhood disadvantage, social cohesion and gender was statistically significant (p=0.05) such that the association between living in a disadvantaged neighborhood and CBR was strongest for men living in neighborhoods with low levels of social cohesion (B=0.63, SE: 0.32). In gender-specific models, we found a statistically significant interaction between neighborhood disadvantage and social cohesion for men (p=0.05) but not for women (p=0.50). Conclusion Neighborhoods characterized by high levels of economic disadvantage and low levels of social cohesion contribute to higher cumulative risk of disease among African American men. This suggests that they may face a unique set of challenges that put them at greater risk in these settings. PMID:26894941

  8. Neighborhood Racial Composition, Racial Discrimination, and Depressive Symptoms in African Americans

    PubMed Central

    Lambert, Sharon F.; Evans, Michele K.; Zonderman, Alan B.

    2015-01-01

    While evidence indicates that experienced racial discrimination is associated with increased depressive symptoms for African Americans, there is little research investigating predictors of experienced racial discrimination. This paper examines neighborhood racial composition and sociodemographic factors as antecedents to experienced racial discrimination and resultant levels of depressive symptoms among African American adults. The sample included 505 socioeconomically-diverse African American adults from Baltimore, MD. Study data were obtained via self-report and geocoding of participant addresses based on 2010 census data. Study hypotheses were tested using multiple pathways within a longitudinal Structural Equation Model. Experienced racial discrimination was positively associated with age and sex such that older individuals and males experienced increased levels of racial discrimination. In addition, the percentage of White individuals residing in a neighborhood was positively associated with levels of experienced racial discrimination for African American neighborhood residents. Experienced racial discrimination was positively associated with later depressive symptoms. Neighborhood-level contextual factors such as neighborhood racial composition and individual differences in sociodemographic characteristics appear to play an important role in the experience of racial discrimination and the etiology of depression in African American adults. PMID:24969707

  9. Neighborhood racial composition, racial discrimination, and depressive symptoms in African Americans.

    PubMed

    English, Devin; Lambert, Sharon F; Evans, Michele K; Zonderman, Alan B

    2014-12-01

    While evidence indicates that experienced racial discrimination is associated with increased depressive symptoms for African Americans, there is little research investigating predictors of experienced racial discrimination. This paper examines neighborhood racial composition and sociodemographic factors as antecedents to experienced racial discrimination and resultant levels of depressive symptoms among African American adults. The sample included 505 socioeconomically-diverse African American adults from Baltimore, MD. Study data were obtained via self-report and geocoding of participant addresses based on 2010 census data. Study hypotheses were tested using multiple pathways within a longitudinal Structural Equation Model. Experienced racial discrimination was positively associated with age and sex such that older individuals and males experienced increased levels of racial discrimination. In addition, the percentage of White individuals residing in a neighborhood was positively associated with levels of experienced racial discrimination for African American neighborhood residents. Experienced racial discrimination was positively associated with later depressive symptoms. Neighborhood-level contextual factors such as neighborhood racial composition and individual differences in sociodemographic characteristics appear to play an important role in the experience of racial discrimination and the etiology of depression in African American adults.

  10. Prosocial behavior and childhood trajectories of internalizing and externalizing problems: The role of neighborhood and school contexts.

    PubMed

    Flouri, Eirini; Sarmadi, Zahra

    2016-02-01

    This study investigated the role of the interaction between prosocial behavior and contextual (school and neighborhood) risk in children's trajectories of externalizing and internalizing problems at ages 3, 5, and 7. The sample was 9,850 Millennium Cohort Study families who lived in England when the cohort children were aged 3. Neighborhood context was captured by the proportion of subsidized (social rented) housing in the neighborhood and school context by school-level achievement. Even after adjustment for child- and family-level covariates, prosocial behavior was related both to lower levels of problem behavior at school entry and to its trajectory before and after. Neighborhood social housing was related to the trajectory of problem behavior, and school-level achievement to lower levels of problem behavior at school entry. The negative association between prosocial and problem behavior was stronger for children attending low-performing schools or living in disadvantaged neighborhoods. The adverse "effect" of low prosocial behavior, associated with low empathy and guilt and with constricted emotionality, on internalizing and externalizing problems appears to be exacerbated in high-risk contexts. PsycINFO Database Record (c) 2016 APA, all rights reserved.

  11. Parent and peer pathways to adolescent delinquency: variations by ethnicity and neighborhood context.

    PubMed

    Deutsch, Arielle R; Crockett, Lisa J; Wolff, Jennifer M; Russell, Stephen T

    2012-08-01

    Effects of ethnicity and neighborhood quality often are confounded in research on adolescent delinquent behavior. This study examined the pathways to delinquency among 2,277 African American and 5,973 European American youth residing in high-risk and low-risk neighborhoods. Using data from a national study of youth, a meditational model was tested in which parenting practices (parental control and maternal support) were hypothesized to influence adolescents' participation in delinquent behavior through their affiliation with deviant peers. The relationships of family and neighborhood risk to parenting practices and deviant peer affiliation were also examined. Results of multi-group structural equation models provided support for the core meditational model in both ethnic groups, as well as evidence of a direct effect of maternal support on delinquency. When a similar model was tested within each ethnic group to compare youths residing in high-risk and low-risk neighborhoods, few neighborhood differences were found. The results indicate that, for both African American and European American youth, low parental control influences delinquency indirectly through its effect on deviant peer affiliation, whereas maternal support has both direct and indirect effects. However, the contextual factors influencing parenting practices and deviant peer affiliation appear to vary somewhat across ethnic groups. Overall the present study highlights the need to look at the joint influence of neighborhood context and ethnicity on adolescent problem behavior.

  12. Proximity of public elementary schools to major roads in Canadian urban areas

    PubMed Central

    2011-01-01

    Background Epidemiologic studies have linked exposure to traffic-generated air and noise pollution with a wide range of adverse health effects in children. Children spend a large portion of time at school, and both air pollution and noise are elevated in close proximity to roads, so school location may be an important determinant of exposure. No studies have yet examined the proximity of schools to major roads in Canadian cities. Methods Data on public elementary schools in Canada's 10 most populous cities were obtained from online databases. School addresses were geocoded and proximity to the nearest major road, defined using a standardized national road classification scheme, was calculated for each school. Based on measurements of nitrogen oxide concentrations, ultrafine particle counts, and noise levels in three Canadian cities we conservatively defined distances < 75 m from major roads as the zone of primary interest. Census data at the city and neighborhood levels were used to evaluate relationships between school proximity to major roads, urban density, and indicators of socioeconomic status. Results Addresses were obtained for 1,556 public elementary schools, 95% of which were successfully geocoded. Across all 10 cities, 16.3% of schools were located within 75 m of a major road, with wide variability between cities. Schools in neighborhoods with higher median income were less likely to be near major roads (OR per $20,000 increase: 0.81; 95% CI: 0.65, 1.00), while schools in densely populated neighborhoods were more frequently close to major roads (OR per 1,000 dwellings/km2: 1.07; 95% CI: 1.00, 1.16). Over 22% of schools in the lowest neighborhood income quintile were close to major roads, compared to 13% of schools in the highest income quintile. Conclusions A substantial fraction of students at public elementary schools in Canada, particularly students attending schools in low income neighborhoods, may be exposed to elevated levels of air pollution and noise while at school. As a result, the locations of schools may negatively impact the healthy development and academic performance of a large number of Canadian children. PMID:22188682

  13. Proximity of public elementary schools to major roads in Canadian urban areas.

    PubMed

    Amram, Ofer; Abernethy, Rebecca; Brauer, Michael; Davies, Hugh; Allen, Ryan W

    2011-12-21

    Epidemiologic studies have linked exposure to traffic-generated air and noise pollution with a wide range of adverse health effects in children. Children spend a large portion of time at school, and both air pollution and noise are elevated in close proximity to roads, so school location may be an important determinant of exposure. No studies have yet examined the proximity of schools to major roads in Canadian cities. Data on public elementary schools in Canada's 10 most populous cities were obtained from online databases. School addresses were geocoded and proximity to the nearest major road, defined using a standardized national road classification scheme, was calculated for each school. Based on measurements of nitrogen oxide concentrations, ultrafine particle counts, and noise levels in three Canadian cities we conservatively defined distances < 75 m from major roads as the zone of primary interest. Census data at the city and neighborhood levels were used to evaluate relationships between school proximity to major roads, urban density, and indicators of socioeconomic status. Addresses were obtained for 1,556 public elementary schools, 95% of which were successfully geocoded. Across all 10 cities, 16.3% of schools were located within 75 m of a major road, with wide variability between cities. Schools in neighborhoods with higher median income were less likely to be near major roads (OR per $20,000 increase: 0.81; 95% CI: 0.65, 1.00), while schools in densely populated neighborhoods were more frequently close to major roads (OR per 1,000 dwellings/km²: 1.07; 95% CI: 1.00, 1.16). Over 22% of schools in the lowest neighborhood income quintile were close to major roads, compared to 13% of schools in the highest income quintile. A substantial fraction of students at public elementary schools in Canada, particularly students attending schools in low income neighborhoods, may be exposed to elevated levels of air pollution and noise while at school. As a result, the locations of schools may negatively impact the healthy development and academic performance of a large number of Canadian children.

  14. Neighborhood Poverty and Allostatic Load in African American Youth

    PubMed Central

    Lei, Man-Kit; Chen, Edith; Miller, Gregory E.

    2014-01-01

    OBJECTIVE: This study was designed to determine whether living in a neighborhood in which poverty levels increase across adolescence is associated with heightened levels of allostatic load (AL), a biological composite reflecting cardiometabolic risk. The researchers also sought to determine whether receipt of emotional support could ameliorate the effects of increases in neighborhood poverty on AL. METHODS: Neighborhood concentrations of poverty were obtained from the Census Bureau for 420 African American youth living in rural Georgia when they were 11 and 19 years of age. AL was measured at age 19 by using established protocols for children and adolescents. When youth were 18, caregivers reported parental emotional support and youth assessed receipt of peer and mentor emotional support. Covariates included family poverty status at ages 11 and 19, family financial stress, parental employment status, youth stress, and youths’ unhealthful behaviors. RESULTS: Youth who lived in neighborhoods in which poverty levels increased from ages 11 to 19 evinced the highest levels of AL even after accounting for the individual-level covariates. The association of increasing neighborhood poverty across adolescence with AL was not significant for youth who received high emotional support. CONCLUSIONS: This study is the first to show an association between AL and residence in a neighborhood that increases in poverty. It also highlights the benefits of supportive relationships in ameliorating this association. PMID:25311604

  15. Association between competitive food and beverage policies in elementary schools and childhood overweight/obesity trends: differences by neighborhood socioeconomic resources.

    PubMed

    Sanchez-Vaznaugh, Emma V; Sánchez, Brisa N; Crawford, Patricia B; Egerter, Susan

    2015-05-01

    To our knowledge, few published studies have examined the influence of competitive food and beverage (CF&B) policies on student weight outcomes; none have investigated disparities in the influence of CF&B policies on children's body weight by school neighborhood socioeconomic resources. To investigate whether the association between CF&B policies and population-level trends in childhood overweight/obesity differed by school neighborhood income and education levels. This cross-sectional study, from July 2013 to October 2014, compared overweight/obesity prevalence trends before (2001-2005) and after (2006-2010) implementation of CF&B policies in public elementary schools in California. The study included 2 700 880 fifth-grade students in 5362 public schools from 2001 to 2010. California CF&B policies (effective July 1, 2004, and July 1, 2007) and school neighborhood income and education levels. Overweight/obesity defined as a body mass index at or greater than the 85th percentile for age and sex. Overall rates of overweight/obesity ranged from 43.5% in 2001 to 45.8% in 2010. Compared with the period before the introduction of CF&B policies, overweight/obesity trends changed in a favorable direction after the policies took effect (2005-2010); these changes occurred for all children across all school neighborhood socioeconomic levels. In the postpolicy period, these trends differed by school neighborhood socioeconomic advantage. From 2005-2010, trends in overweight/obesity prevalence leveled off among students at schools in socioeconomically disadvantaged neighborhoods but declined in socioeconomically advantaged neighborhoods. Students in the lowest-income neighborhoods experienced zero or near zero change in the odds of overweight/obesity over time: the annual percentage change in overweight/obesity odds was 0.1% for females (95% CI, -0.7 to 0.9) and -0.3% for males (95% CI, -1.1 to 0.5). In contrast, in the highest-income neighborhoods, the annual percentage decline in the odds of overweight was 1.2% for females (95% CI, 0.4 to 1.9) and 1.0% for males (95% CI, 0.3 to 1.8). Findings were similar for school neighborhood education. Our study found population-level improvements in the prevalence of childhood overweight/obesity that coincided with the period following implementation of statewide CF&B policies (2005-2010). However, these improvements were greatest at schools in the most advantaged neighborhoods. This suggests that CF&B policies may help prevent child obesity; however, the degree of their effectiveness is likely to depend on socioeconomic and other contextual factors in school neighborhoods. To reduce disparities and prevent obesity, school policies and environmental interventions must address relevant contextual factors in school neighborhoods.

  16. Exposures to Walkability and Particulate Air Pollution in a Nationwide Cohort of Women

    PubMed Central

    James, Peter; Hart, Jaime E.; Laden, Francine

    2015-01-01

    Background Features of neighborhoods associated with walkability (i.e., connectivity, accessibility, and density) may also be correlated with levels of ambient air pollution, which would attenuate the health benefits of walkability. Objectives We examined the relationship between neighborhood walkability and ambient air pollution in a cross-sectional analysis of a cohort study spanning the entire United States using residence-level exposure assessment for ambient air pollution and the built environment. Methods Using data from the Nurses’ Health Study, we used linear regression to estimate the association between a neighborhood walkability index, combining neighborhood intersection count, business count, and population density (defined from Census data, infoUSA business data, and StreetMap USA data), and air pollution, defined from a GIS-based spatiotemporal PM2.5 model. Results After adjustment for Census tract median income, median home value, and percent with no high school education, the highest tertile of walkability index, intersection count, business count, and population density was associated with a with 1.58 (95% CI 1.54, 1.62), 1.20 (95% CI 1.16, 1.24), 1.31 (95% CI 1.27, 1.35), and 1.84 (95% CI 1.80, 1.88) μg/m3 higher level of PM2.5 respectively, compared to the lowest tertile. Results varied somewhat by neighborhood socioeconomic status and greatly by region. Conclusions This nationwide analysis showed a positive relationship between neighborhood walkability and modeled air pollution levels, which were consistent after adjustment for neighborhood-level socioeconomic status. Regional differences in the air pollution-walkability relationship demonstrate that there are factors that vary across region that allow for walkable neighborhoods with low levels of air pollution. PMID:26397775

  17. Revisiting the Incremental Effects of Context on Word Processing: Evidence from Single-Word Event-Related Brain Potentials

    PubMed Central

    Payne, Brennan R.; Lee, Chia-Lin; Federmeier, Kara D.

    2015-01-01

    The amplitude of the N400— an event-related potential (ERP) component linked to meaning processing and initial access to semantic memory— is inversely related to the incremental build-up of semantic context over the course of a sentence. We revisited the nature and scope of this incremental context effect, adopting a word-level linear mixed-effects modeling approach, with the goal of probing the continuous and incremental effects of semantic and syntactic context on multiple aspects of lexical processing during sentence comprehension (i.e., effects of word frequency and orthographic neighborhood). First, we replicated the classic word position effect at the single-word level: open-class words showed reductions in N400 amplitude with increasing word position in semantically congruent sentences only. Importantly, we found that accruing sentence context had separable influences on the effects of frequency and neighborhood on the N400. Word frequency effects were reduced with accumulating semantic context. However, orthographic neighborhood was unaffected by accumulating context, showing robust effects on the N400 across all words, even within congruent sentences. Additionally, we found that N400 amplitudes to closed-class words were reduced with incrementally constraining syntactic context in sentences that provided only syntactic constraints. Taken together, our findings indicate that modeling word-level variability in ERPs reveals mechanisms by which different sources of information simultaneously contribute to the unfolding neural dynamics of comprehension. PMID:26311477

  18. Revisiting the incremental effects of context on word processing: Evidence from single-word event-related brain potentials.

    PubMed

    Payne, Brennan R; Lee, Chia-Lin; Federmeier, Kara D

    2015-11-01

    The amplitude of the N400-an event-related potential (ERP) component linked to meaning processing and initial access to semantic memory-is inversely related to the incremental buildup of semantic context over the course of a sentence. We revisited the nature and scope of this incremental context effect, adopting a word-level linear mixed-effects modeling approach, with the goal of probing the continuous and incremental effects of semantic and syntactic context on multiple aspects of lexical processing during sentence comprehension (i.e., effects of word frequency and orthographic neighborhood). First, we replicated the classic word-position effect at the single-word level: Open-class words showed reductions in N400 amplitude with increasing word position in semantically congruent sentences only. Importantly, we found that accruing sentence context had separable influences on the effects of frequency and neighborhood on the N400. Word frequency effects were reduced with accumulating semantic context. However, orthographic neighborhood was unaffected by accumulating context, showing robust effects on the N400 across all words, even within congruent sentences. Additionally, we found that N400 amplitudes to closed-class words were reduced with incrementally constraining syntactic context in sentences that provided only syntactic constraints. Taken together, our findings indicate that modeling word-level variability in ERPs reveals mechanisms by which different sources of information simultaneously contribute to the unfolding neural dynamics of comprehension. © 2015 Society for Psychophysiological Research.

  19. Neighborhood crime and transit station access mode choice - phase III of neighborhood crime and travel behavior.

    DOT National Transportation Integrated Search

    2015-08-01

    This report provides the findings from the third phase of a three-part study about the influences of neighborhood crimes on travel : mode choice. While previous phases found evidence that high levels of neighborhood crime discourage people from choos...

  20. “I Live by Shooting Hill” – A Qualitative Exploration of Conflict and Violence among Urban Youth in New Haven, Connecticut

    PubMed Central

    Shuval, Kerem; Massey, Zohar; O Caughy, Margaret; Cavanaugh, Brenda; Pillsbury, Charles A; Groce, Nora

    2013-01-01

    To elucidate urban youths’ perceptions of conflict and violence we conducted a qualitative study among minority urban youths in New Haven, Connecticut. We utilized the ecological framework to explore the multilevel nature of the findings, and triangulated results with a parallel quantitative study. We found risk factors for violence at multiple levels including lack of interpersonal anger management skills (individual level); parents not physically present in the household (relationship level); residence in crime and gang-ridden neighborhoods (community level); and socioeconomic inequalities between neighborhoods, as reflected by participants’ perception of the inadequacy of neighborhood resources to provide safety (societal level). Neighborhood resources were perceived as sparse, and police were not regarded as a protective factor (sometimes rather as racially discriminatory). Participants’ statements pertaining to feelings of isolation, racism, and violence without strong parental, neighborhood, and school support may impede prosocial attitudes and behaviors throughout adolescence and young adulthood. PMID:22643467

  1. Mapping child maltreatment risk: a 12-year spatio-temporal analysis of neighborhood influences.

    PubMed

    Gracia, Enrique; López-Quílez, Antonio; Marco, Miriam; Lila, Marisol

    2017-10-18

    'Place' matters in understanding prevalence variations and inequalities in child maltreatment risk. However, most studies examining ecological variations in child maltreatment risk fail to take into account the implications of the spatial and temporal dimensions of neighborhoods. In this study, we conduct a high-resolution small-area study to analyze the influence of neighborhood characteristics on the spatio-temporal epidemiology of child maltreatment risk. We conducted a 12-year (2004-2015) small-area Bayesian spatio-temporal epidemiological study with all families with child maltreatment protection measures in the city of Valencia, Spain. As neighborhood units, we used 552 census block groups. Cases were geocoded using the family address. Neighborhood-level characteristics analyzed included three indicators of neighborhood disadvantage-neighborhood economic status, neighborhood education level, and levels of policing activity-, immigrant concentration, and residential instability. Bayesian spatio-temporal modelling and disease mapping methods were used to provide area-specific risk estimations. Results from a spatio-temporal autoregressive model showed that neighborhoods with low levels of economic and educational status, with high levels of policing activity, and high immigrant concentration had higher levels of substantiated child maltreatment risk. Disease mapping methods were used to analyze areas of excess risk. Results showed chronic spatial patterns of high child maltreatment risk during the years analyzed, as well as stability over time in areas of low risk. Areas with increased or decreased child maltreatment risk over the years were also observed. A spatio-temporal epidemiological approach to study the geographical patterns, trends over time, and the contextual determinants of child maltreatment risk can provide a useful method to inform policy and action. This method can offer a more accurate description of the problem, and help to inform more localized prevention and intervention strategies. This new approach can also contribute to an improved epidemiological surveillance system to detect ecological variations in risk, and to assess the effectiveness of the initiatives to reduce this risk.

  2. Youth dietary intake and weight status: healthful neighborhood food environments enhance the protective role of supportive family home environments.

    PubMed

    Berge, Jerica M; Wall, Melanie; Larson, Nicole; Forsyth, Ann; Bauer, Katherine W; Neumark-Sztainer, Dianne

    2014-03-01

    The aim of this study is to investigate individual and joint associations of the home environment and the neighborhood built environment with adolescent dietary patterns and body mass index (BMI) z-score. Racially/ethnically and socioeconomically diverse adolescents (n=2682; 53.2% girls; mean age14.4 years) participating in the EAT 2010 (Eating and Activity in Teens) study completed height and weight measurements and surveys in Minnesota middle and high schools. Neighborhood variables were measured using Geographic Information Systems data. Multiple regressions of BMI z-score, fruit and vegetable intake, and fast food consumption were fit including home and neighborhood environmental variables as predictors and also including their interactions to test for effect modification. Supportive family environments (i.e., higher family functioning, frequent family meals, and parent modeling of healthful eating) were associated with higher adolescent fruit and vegetable intake, lower fast food consumption, and lower BMI z-score. Associations between the built environment and adolescent outcomes were fewer. Interaction results, although not all consistent, indicated that the relationship between a supportive family environment and adolescent fruit and vegetable intake and BMI was enhanced when the neighborhood was supportive of healthful behavior. Public health interventions that simultaneously improve both the home environment and the neighborhood environment of adolescents may have a greater impact on adolescent obesity prevention than interventions that address one of these environments alone. © 2013 Published by Elsevier Ltd.

  3. Neighborhood Social Cohesion and Sleep Outcomes in the Native Hawaiian and Pacific Islander National Health Interview Survey.

    PubMed

    Young, Marielle C; Gerber, Monica W; Ash, Tayla; Horan, Christine M; Taveras, Elsie M

    2018-05-16

    Native Hawaiians and Pacific Islanders (NHPIs) have the lowest attainment of healthy sleep duration among all racial and ethnic groups in the United States. We examined associations of neighborhood social cohesion with sleep duration and quality. Cross-sectional analysis of 2,464 adults in the NHPI National Health Interview Survey (2014). Neighborhood social cohesion was categorized as a continuous and categorical variable into low (<12), medium (12-14) and high (>15) according to tertiles of the distribution of responses. We used multinomial logistic regression to examine the adjusted odds ratio of short and long sleep duration relative to intermediate sleep duration. We used binary logistic regression for dichotomous sleep quality outcomes. Sleep outcomes were modeled as categorical variables. 40% of the cohort reported short (<7 hours) sleep duration and only 4% reported long (>9 hours) duration. Mean (SE, range) social cohesion score was 12.4 units (0.11, 4-16) and 23% reported low social cohesion. In multivariable models, each 1 SD decrease in neighborhood social cohesion score was associated with higher odds of short sleep duration (OR: 1.14, 95% CI: 1.02, 1.29). Additionally, low social cohesion was associated with increased odds of short sleep duration (OR: 1.53, 95% CI: 1.10, 2.13). No associations between neighborhood social cohesion and having trouble falling or staying asleep and feeling well rested were found. Low neighborhood social cohesion is associated with short sleep duration in NHPIs.

  4. The neighborhood context of racial and ethnic disparities in arrest.

    PubMed

    Kirk, David S

    2008-02-01

    This study assesses the role of social context in explaining racial and ethnic disparities in arrest, with afocus on how distinct neighborhood contexts in which different racial and ethnic groups reside explain variations in criminal outcomes. To do so, I utilize a multilevel, longitudinal research design, combining individual-level data with contextual data from the Project on Human Development in Chicago Neighborhoods (PHDCN). Findings reveal that black youths face multiple layers of disadvantage relative to other racial and ethnic groups, and these layers work to create differences in arrest. At the family level, results show that disadvantages in the form of unstable family structures explain much of the disparities in arrest across race and ethnicity. At the neighborhood level, black youths tend to reside in areas with both significantly higher levels of concentrated poverty than other youths as well as lower levels of collective efficacy than white youths. Variations in neighborhood tolerance of deviance across groups explain little of the arrest disparities, yet tolerance of deviance does influence the frequency with which a crime ultimately ends in an arrest. Even after accounting for relevant demographic, family, and neighborhood-level predictors, substantial residual arrest differences remain between black youths and youths of other racial and ethnic groups.

  5. The Neighborhood Context of Racial and Ethnic Disparities in Arrest

    PubMed Central

    KIRK, DAVID S.

    2008-01-01

    This study assesses the role of social context in explaining racial and ethnic disparities in arrest, with a focus on how distinct neighborhood contexts in which different racial and ethnic groups reside explain variations in criminal outcomes. To do so, I utilize a multilevel, longitudinal research design, combining individual-level data with contextual data from the Project on Human Development in Chicago Neighborhoods (PHDCN). Findings reveal that black youths face multiple layers of disadvantage relative to other racial and ethnic groups, and these layers work to create differences in arrest. At the family level, results show that disadvantages in the form of unstable family structures explain much of the disparities in arrest across race and ethnicity. At the neighborhood level, black youths tend to reside in areas with both significantly higher levels of concentrated poverty than other youths as well as lower levels of collective efficacy than white youths. Variations in neighborhood tolerance of deviance across groups explain little of the arrest disparities, yet tolerance of deviance does influence the frequency with which a crime ultimately ends in an arrest. Even after accounting for relevant demographic, family, and neighborhood-level predictors, substantial residual arrest differences remain between black youths and youths of other racial and ethnic groups. PMID:18390291

  6. Neighborhood social cohesion and posttraumatic stress disorder in a community-based sample: findings from the Detroit Neighborhood Health Study.

    PubMed

    Johns, Lauren E; Aiello, Allison E; Cheng, Caroline; Galea, Sandro; Koenen, Karestan C; Uddin, Monica

    2012-12-01

    Posttraumatic stress disorder (PTSD) is common and debilitating. Although research has identified individual-level risk factors for PTSD, the role of macro-social factors in PTSD etiology remains unknown. This study tests whether perceived neighborhood social cohesion (NSC), measured at the both the individual and neighborhood levels, plays a role in determining past-year risk of PTSD among those exposed to trauma. Data (n = 1,221) were obtained from an ongoing prospective epidemiologic study in the city of Detroit. Assessment of traumatic event exposure and PTSD was consistent with DSM-IV criteria. Generalized estimating equations (GEE) and logistic regression models were used to estimate the association of neighborhood-level perceived NSC with the risk of PTSD, adjusting for individual-level perceptions of NSC and other covariates. The odds of past-year PTSD were significantly higher among those residing in a neighborhood with low social cohesion compared to high (OR = 2.44, 95 % CI: 1.58, 3.78), independent of individual sociodemographic characteristics, number of traumas, and individual-level perceptions of NSC. The odds of past-year PTSD were not significantly associated with individual-level perceptions of NSC. These results demonstrate that social context shapes risk of PTSD and suggest that changing the social context may shift vulnerability to this disorder.

  7. Corporation-induced Diseases, Upstream Epidemiologic Surveillance, and Urban Health

    PubMed Central

    2008-01-01

    Corporation-induced diseases are defined as diseases of consumers, workers, or community residents who have been exposed to disease agents contained in corporate products. To study the epidemiology and to guide expanded surveillance of these diseases, a new analytical framework is proposed. This framework is based on the agent–host–environment model and the upstream multilevel epidemiologic approach and posits an epidemiologic cascade starting with government-sanctioned corporate profit making and ending in a social cost, i.e., harm to population health. Each of the framework’s levels addresses a specific level of analysis, including government, corporations, corporate conduits, the environment of the host, and the host. The explained variable at one level is also the explanatory variable at the next lower level. In this way, a causal chain can be followed along the epidemiologic cascade from the site of societal power down to the host. The framework thus describes the pathways by which corporate decisions filter down to disease production in the host and identifies opportunities for epidemiologic surveillance. Since the environment of city dwellers is strongly shaped by corporations that are far upstream and several levels away, the framework has relevance for the study of urban health. Corporations that influence the health of urban populations include developers and financial corporations that determine growth or decay of urban neighborhoods, as well as companies that use strategies based on neighborhood characteristics to sell products that harm consumer health. Epidemiological inquiry and surveillance are necessary at all levels to provide the knowledge needed for action to protect the health of the population. To achieve optimal inquiry and surveillance at the uppermost levels, epidemiologists will have to work with political scientists and other social scientists and to utilize novel sources of information. PMID:18437580

  8. A spatially explicit approach to the study of socio-demographic inequality in the spatial distribution of trees across Boston neighborhoods.

    PubMed

    Duncan, Dustin T; Kawachi, Ichiro; Kum, Susan; Aldstadt, Jared; Piras, Gianfranco; Matthews, Stephen A; Arbia, Giuseppe; Castro, Marcia C; White, Kellee; Williams, David R

    2014-04-01

    The racial/ethnic and income composition of neighborhoods often influences local amenities, including the potential spatial distribution of trees, which are important for population health and community wellbeing, particularly in urban areas. This ecological study used spatial analytical methods to assess the relationship between neighborhood socio-demographic characteristics (i.e. minority racial/ethnic composition and poverty) and tree density at the census tact level in Boston, Massachusetts (US). We examined spatial autocorrelation with the Global Moran's I for all study variables and in the ordinary least squares (OLS) regression residuals as well as computed Spearman correlations non-adjusted and adjusted for spatial autocorrelation between socio-demographic characteristics and tree density. Next, we fit traditional regressions (i.e. OLS regression models) and spatial regressions (i.e. spatial simultaneous autoregressive models), as appropriate. We found significant positive spatial autocorrelation for all neighborhood socio-demographic characteristics (Global Moran's I range from 0.24 to 0.86, all P =0.001), for tree density (Global Moran's I =0.452, P =0.001), and in the OLS regression residuals (Global Moran's I range from 0.32 to 0.38, all P <0.001). Therefore, we fit the spatial simultaneous autoregressive models. There was a negative correlation between neighborhood percent non-Hispanic Black and tree density (r S =-0.19; conventional P -value=0.016; spatially adjusted P -value=0.299) as well as a negative correlation between predominantly non-Hispanic Black (over 60% Black) neighborhoods and tree density (r S =-0.18; conventional P -value=0.019; spatially adjusted P -value=0.180). While the conventional OLS regression model found a marginally significant inverse relationship between Black neighborhoods and tree density, we found no statistically significant relationship between neighborhood socio-demographic composition and tree density in the spatial regression models. Methodologically, our study suggests the need to take into account spatial autocorrelation as findings/conclusions can change when the spatial autocorrelation is ignored. Substantively, our findings suggest no need for policy intervention vis-à-vis trees in Boston, though we hasten to add that replication studies, and more nuanced data on tree quality, age and diversity are needed.

  9. Exploring the Link between Caregiver Affect and Adolescent Sexual Behavior: Does Neighborhood Disadvantage Matter?

    PubMed Central

    Gardner, Margo; Martin, Anne; Brooks-Gunn, Jeanne

    2011-01-01

    In a sample of urban youth (N = 1,070), we examined the links between primary caregiver affect (i.e., warmth and hostility) and two measures of sexual behavior in adolescence – early sexual initiation and sex with multiple partners. We also examined the extent to which neighborhood disadvantage moderated associations between caregiver affect and adolescent sexual behavior. We found that caregiver hostility was positively associated with early sex and sex with multiple partners in neighborhoods characterized by high levels of disadvantage, but inversely associated with both sex outcomes in neighborhoods characterized by low levels of disadvantage. Caregiver warmth, on the other hand, was inversely associated with early sexual initiation and sex with multiple partners in all neighborhoods regardless of neighborhood disadvantage. PMID:22408364

  10. Does Perceived Neighborhood Walkability and Safety Mediate the Association Between Education and Meeting Physical Activity Guidelines?

    PubMed Central

    Yin, Shaoman; Soler, Robin; Njai, Rashid; Siegel, Paul Z.; Liao, Youlian

    2015-01-01

    The role of neighborhood walkability and safety in mediating the association between education and physical activity has not been quantified. We used data from the 2010 and 2012 Communities Putting Prevention to Work Behavioral Risk Factor Surveillance System and structural equation modeling to estimate how much of the effect of education level on physical activity was mediated by perceived neighborhood walkability and safety. Neighborhood walkability accounts for 11.3% and neighborhood safety accounts for 6.8% of the effect. A modest proportion of the important association between education and physical activity is mediated by perceived neighborhood walkability and safety, suggesting that interventions focused on enhancing walkability and safety could reduce the disparity in physical activity associated with education level. PMID:25855989

  11. Who Gentrifies Low-Income Neighborhoods?*

    PubMed Central

    McKinnish, Terra; Walsh, Randall; White, T. Kirk

    2009-01-01

    This paper uses confidential Census data, specifically the 1990 and 2000 Census Long Form data, to study demographic processes in neighborhoods that gentrified during the 1990’s. In contrast to previous studies, the analysis is conducted at the more refined census-tract level, with a narrower definition of gentrification and more closely matched comparison neighborhoods. Furthermore, our access to individual-level data with census tract identifiers allows us to separately identify recent in-migrants and long-term residents. Our results indicate that, on average, the demographic flows associated with the gentrification of urban neighborhoods during the 1990’s are not consistent with displacement and harm to minority households. In fact, taken as a whole, our results suggest that gentrification of predominantly black neighborhoods creates neighborhoods that are attractive to middle-class black households. PMID:20161532

  12. Who Gentrifies Low-Income Neighborhoods?

    PubMed

    McKinnish, Terra; Walsh, Randall; White, T Kirk

    2010-03-01

    This paper uses confidential Census data, specifically the 1990 and 2000 Census Long Form data, to study demographic processes in neighborhoods that gentrified during the 1990's. In contrast to previous studies, the analysis is conducted at the more refined census-tract level, with a narrower definition of gentrification and more closely matched comparison neighborhoods. Furthermore, our access to individual-level data with census tract identifiers allows us to separately identify recent in-migrants and long-term residents. Our results indicate that, on average, the demographic flows associated with the gentrification of urban neighborhoods during the 1990's are not consistent with displacement and harm to minority households. In fact, taken as a whole, our results suggest that gentrification of predominantly black neighborhoods creates neighborhoods that are attractive to middle-class black households.

  13. Changes in physical activity and travel behaviors in residents of a mixed-use development.

    PubMed

    Mumford, Karen G; Contant, Cheryl K; Weissman, Jennifer; Wolf, Jean; Glanz, Karen

    2011-11-01

    Mixed-use developments may be especially promising settings for encouraging walking and other types of physical activity. This study examined the physical activity and travel behaviors of individuals before and after they relocated to Atlantic Station, a mixed-use redevelopment community in metropolitan Atlanta. A survey study was conducted to compare the behaviors, experiences, and attitudes of Atlantic Station residents before and after moving to a mixed-use neighborhood. Data were collected in 2008 and 2009 and analyzed in 2010. Key dependent variables were self-reported physical activity and travel behaviors including walking for recreation and transport, automobile use, and use of public transportation. Study participants included 101 adult residents of Atlantic Station, most of whom were female, young, and well educated. There were significant increases in walking for recreation or fitness (46%-54%; p<0.05) and walking for transportation (44%-84%; p<0.001) after moving into the mixed-use development. Respondents also reported reduced automobile travel and increased time spent using public transportation after moving to Atlantic Station. Because this study used individuals as their own controls, there is more control over confounding lifestyle variables compared to cross-sectional studies of individuals living in different neighborhoods. Adults who move to a denser, mixed-use neighborhood increase their levels of walking for both recreation and transportation, decrease their automobile travel, and increase their use of public transportation. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  14. Breast cancer incidence patterns among California Hispanic women: Differences by nativity and residence in an enclave

    PubMed Central

    Keegan, Theresa H.M.; John, Esther M.; Fish, Kari M.; Alfaro-Velcamp, Theresa; Clarke, Christina A.; Gomez, Scarlett L.

    2010-01-01

    Background Breast cancer incidence is higher in US-born Hispanic women than foreign-born Hispanics, but no studies have examined how these rates have changed over time. To better inform cancer control efforts, we examined incidence trends by nativity and incidence patterns by neighborhood socioeconomic status (SES) and Hispanic enclave (neighborhoods with high proportions of Hispanics or Hispanic immigrants). Methods Information regarding all Hispanic women diagnosed with invasive breast cancer between 1988 and 2004 were obtained from the California Cancer Registry. Nativity was imputed from Social Security number for the 27% of cases with missing birthplace information. Neighborhood variables were developed from Census data. Results From 1988 to 2004, incidence rates for US-born Hispanics were parallel, but lower than, those of non-Hispanic whites, showing an annual 6% decline from 2002 to 2004. Foreign-born Hispanics had an annual 4% increase in incidence rates from 1995 to 1998 and a 1.4% decline thereafter. Rates were 38% higher for US- than foreign-born Hispanics, with elevations more pronounced for localized than regional/distant disease, and for women > 50 years of age. Residence in higher SES and lower Hispanic enclave neighborhoods were independently associated with higher incidence, with Hispanic enclave having a stronger association than SES. Conclusions Compared to foreign-born, US-born Hispanic women in California had higher prevalence of breast cancer risk factors, suggesting that incidence patterns largely reflects these differences in risk factors. Impact Further research is needed to separate the effects of individual- and neighborhood-level factors that impact incidence in this large and growing population. PMID:20447917

  15. Neighborhood Variation in Gang Member Concentrations

    ERIC Educational Resources Information Center

    Katz, Charles M.; Schnebly, Stephen M.

    2011-01-01

    This study examines the relationship between neighborhood structure, violent crime, and concentrations of gang members at the neighborhood level. We rely on official police gang list data, police crime data, and two waves of decennial census data characterizing the socioeconomic and demographic conditions of 93 neighborhoods in Mesa, Arizona.…

  16. Intervening Processes in the Relationship between Neighborhood Characteristics and Psychological Symptoms in Urban Youth

    ERIC Educational Resources Information Center

    Katz, Brian N.; Esparza, Patricia; Carter, Jocelyn Smith; Grant, Kathryn E.; Meyerson, David A.

    2012-01-01

    The present study tested for mediators of the relation between neighborhood risk characteristics and internalizing and externalizing symptoms in a sample of 1,120 low-income urban adolescents. Results indicate that a composite of census tract variables predicted both internalizing and externalizing symptoms in this sample. Stressful life events…

  17. School and Neighborhood Predictors of Physical Fitness in Elementary School Students

    ERIC Educational Resources Information Center

    Kahan, David; McKenzie, Thomas L.

    2017-01-01

    Background: We assessed the associations of 5 school and 7 neighborhood variables with fifth-grade students achieving Healthy Fitness Zone (HFZ) or Needs Improvement-Health Risk (NI-HR) on aerobic capacity (AC) and body composition (BC) physical fitness components of the state-mandated FITNESSGRAM® physical fitness test. Methods: Data for outcome…

  18. Assault Injury Rates, Social Capital, and Fear of Neighborhood Crime

    ERIC Educational Resources Information Center

    Kruger, Daniel J.; Hutchison, Peter; Monroe, Matthew G.; Reischl, Thomas; Morrel-Samuels, Susan

    2007-01-01

    This study develops an explanatory framework for fear of neighborhood crime based on respondents' social context and local rates of assault injuries. Rates of assault injuries within zip codes are based on hospital discharge records. We find that only four variables have a significant unique contribution to fear of crime: respondent's sex,…

  19. Neighborhood food outlets, diet, and obesity among California adults, 2007 and 2009.

    PubMed

    Hattori, Aiko; An, Ruopeng; Sturm, Roland

    2013-01-01

    Varying neighborhood definitions may affect research on the association between food environments and diet and weight status. The objective of this study was to examine the association between number and type of neighborhood food outlets and dietary intake and body mass index (BMI) measures among California adults according to the geographic size of a neighborhood or food environment. We analyzed data from 97,678 respondents aged 18 years or older from the 2007 and 2009 California Health Interview Survey through multivariable regression models. Outcome variables were BMI, weight status of a BMI of 25.0 or more and a BMI of 30.0 or more, and the number of times per week the following were consumed: fruits, vegetables, sugar-sweetened soft drinks, fried potatoes, and fast food. Explanatory variables were the number of fast-food restaurants, full-service restaurants, convenience stores, small food stores, grocery stores, and large supermarkets within varying distances (0.25 to 3.0 miles) from the survey respondent's residence. We adopted as a measure of walking distance a Euclidean distance within 1 mile. Control variables included sociodemographic and economic characteristics of respondents and neighborhoods. Food outlets within walking distance (≤ 1.0 mile) were not strongly associated with dietary intake, BMI, or probabilities of a BMI of 25.0 or more or a BMI of 30.0 or more. We found significant associations between fast-food outlets and dietary intake and between supermarkets and BMI and probabilities of a BMI of 25.0 or more and a BMI of 30.0 or more for food environments beyond walking distance (> 1.0 mile). We found no strong evidence that food outlets near homes are associated with dietary intake or BMI. We replicated some associations reported previously but only for areas that are larger than what typically is considered a neighborhood. A likely reason for the null finding is that shopping patterns are weakly related, if at all, to neighborhoods in the United States because of access to motorized transportation.

  20. The Variability of Childhood Diarrhea in Karachi, Pakistan, 2002–2006

    PubMed Central

    Luby, Stephen P.; Agboatwalla, Mubina; Hoekstra, Robert M.

    2011-01-01

    Diarrhea burden is often estimated using cross-sectional surveys. We measured variability in diarrhea prevalence among children < 5 years of age living in squatter settlements in central Karachi, Pakistan. We pooled data from non-intervention control households from studies conducted from 2002 through 2006. The prevalence of diarrhea varied on average by 29% from one week to the next, by 37% from one month to the next, and during peak diarrhea season by 32% from one year to the next. During 24 months when the same nine neighborhoods were under surveillance, each month the prevalence of diarrhea varied by at least an order of magnitude from the lowest to the highest prevalence neighborhood, and each neighborhood recorded the highest diarrhea prevalence during at least one month. Cross-sectional surveys are unreliable measures of diarrhea prevalence. PMID:21633021

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