Commitment Predictors: Long-Distance versus Geographically Close Relationships

ERIC Educational Resources Information Center

Pistole, M. Carole; Roberts, Amber; Mosko, Jonathan E.

2010-01-01

In this web-based study, the authors examined long-distance relationships (LDRs) and geographically close relationships (GCRs). Two hierarchical multiple regressions (N = 138) indicated that attachment predicted LDR and GCR commitment in Step 1. Final equations indicated that high satisfaction and investments predicted LDR commitment, whereas low…

Incremental Validity in the Clinical Assessment of Early Childhood Development

ERIC Educational Resources Information Center

Liu, Xin; Zhou, Xiaobin; Lackaff, Julie

2013-01-01

The authors demonstrate the increment of clinical validity in early childhood assessment of physical impairment (PI), developmental delay (DD), and autism (AUT) using multiple standardized developmental screening measures such as performance measures and parent and teacher rating scales. Hierarchical regression and sensitivity/specificity analyses…

Contributions of sociodemographic factors to criminal behavior

PubMed Central

Mundia, Lawrence; Matzin, Rohani; Mahalle, Salwa; Hamid, Malai Hayati; Osman, Ratna Suriani

2016-01-01

We explored the extent to which prisoner sociodemographic variables (age, education, marital status, employment, and whether their parents were married or not) influenced offending in 64 randomly selected Brunei inmates, comprising both sexes. A quantitative field survey design ideal for the type of participants used in a prison context was employed to investigate the problem. Hierarchical multiple regression analysis with backward elimination identified prisoner marital status and age groups as significantly related to offending. Furthermore, hierarchical multinomial logistic regression analysis with backward elimination indicated that prisoners’ age, primary level education, marital status, employment status, and parental marital status as significantly related to stealing offenses with high odds ratios. All 29 nonrecidivists were false negatives and predicted to reoffend upon release. Similarly, all 33 recidivists were projected to reoffend after release. Hierarchical binary logistic regression analysis revealed age groups (24–29 years and 30–35 years), employed prisoner, and primary level education as variables with high likelihood trends for reoffending. The results suggested that prisoner interventions (educational, counseling, and psychotherapy) in Brunei should treat not only antisocial personality, psychopathy, and mental health problems but also sociodemographic factors. The study generated offending patterns, trends, and norms that may inform subsequent investigations on Brunei prisoners. PMID:27382342

Comparing Revictimization in Two Groups of Marginalized Women

ERIC Educational Resources Information Center

Tusher, Chantal Poister; Cook, Sarah L.

2010-01-01

This study examines physical and sexual revictimization in a random sample of incarcerated and poor, urban, nonincarcerated women using multiple measures of physical and sexual child abuse. Researchers used hierarchical logistic regression to compare rates of revictimization and the strength of the association between child abuse and adult…

Morphological Influences on the Recognition of Monosyllabic Monomorphemic Words

ERIC Educational Resources Information Center

Baayen, R. H.; Feldman, L. B.; Schreuder, R.

2006-01-01

Balota et al. [Balota, D., Cortese, M., Sergent-Marshall, S., Spieler, D., & Yap, M. (2004). Visual word recognition for single-syllable words. "Journal of Experimental Psychology: General, 133," 283-316] studied lexical processing in word naming and lexical decision using hierarchical multiple regression techniques for a large data set of…

Unique Associations between Peer Relations and Social Anxiety in Early Adolescence

ERIC Educational Resources Information Center

Flanagan, Kelly S.; Erath, Stephen A.; Bierman, Karen L.

2008-01-01

This study examined the unique associations between feelings of social anxiety and multiple dimensions of peer relations (positive peer nominations, peer- and self-reported peer victimization, and self-reported friendship quality) among 383 sixth- and seventh-grade students. Hierarchical regression analysis provided evidence for the unique…

Parental Behavioural Control and Academic Achievement: Striking the Balance between Control and Involvement

ERIC Educational Resources Information Center

Kramer, Karen Z.

2012-01-01

Using a longitudinal US dataset (N = 6,134) we examine the relationship between parental behavioural control and academic achievement and explore the moderating role of parental involvement and parental warmth. Analyses using multiple hierarchical regression with clustering controls shows that parental behavioural control is negatively associated…

Psychosocial and demographic predictors of fruit, juice and vegetable consumption among 11-14-year-old Boy Scouts

USDA-ARS?s Scientific Manuscript database

Psychosocial and demographic correlates of fruit, juice, and vegetable (FJV) consumption were investigated to guide how to increase FJV intake. Experimental design consisted of hierarchical multiple regression analysis of FJV consumption on demographics and psychosocial variables. Subjects were boys...

Factors Influencing the Academic Achievement of First-Generation College Students

ERIC Educational Resources Information Center

Strayhorn, Terrell L.

2006-01-01

First-generation college students face a number of unique challenges in college. These obstacles may have a disparate effect on educational outcomes such as academic achievement. This study presents findings from an analysis of the Baccalaureate & Beyond Longitudinal Study using hierarchical multiple regression techniques to measure the influence…

Disability and Coping as Predictors of Psychological Adjustment to Rheumatoid Arthritis.

ERIC Educational Resources Information Center

Revenson, Tracey A.; Felton, Barbara J.

1989-01-01

Examined degree to which self-reported functional disability and coping efforts contributed to psychological adjustment among 45 rheumatoid arthritis patients over six months. Hierarchical multiple regression analyses indicated that increases in disability were related to decreased acceptance of illness and increased negative affect, while coping…

(The Androgyny Dimension: A Comment on Stokes, Childs, and Fuehrer: And a Response.)

ERIC Educational Resources Information Center

Lubinski, David; Stokes, Joseph

1983-01-01

Suggests a critical methodological flaw in a study done about the relationship between the Bem Sex-Role Inventory and certain indices of self-disclosure (Stokes, et al.). Notes that multiple regression analysis was not performed in appropriate hierarchical fashion. Includes Stokes reply to the critique. (PAS)

Predicting multi-level drug response with gene expression profile in multiple myeloma using hierarchical ordinal regression.

PubMed

Zhang, Xinyan; Li, Bingzong; Han, Huiying; Song, Sha; Xu, Hongxia; Hong, Yating; Yi, Nengjun; Zhuang, Wenzhuo

2018-05-10

Multiple myeloma (MM), like other cancers, is caused by the accumulation of genetic abnormalities. Heterogeneity exists in the patients' response to treatments, for example, bortezomib. This urges efforts to identify biomarkers from numerous molecular features and build predictive models for identifying patients that can benefit from a certain treatment scheme. However, previous studies treated the multi-level ordinal drug response as a binary response where only responsive and non-responsive groups are considered. It is desirable to directly analyze the multi-level drug response, rather than combining the response to two groups. In this study, we present a novel method to identify significantly associated biomarkers and then develop ordinal genomic classifier using the hierarchical ordinal logistic model. The proposed hierarchical ordinal logistic model employs the heavy-tailed Cauchy prior on the coefficients and is fitted by an efficient quasi-Newton algorithm. We apply our hierarchical ordinal regression approach to analyze two publicly available datasets for MM with five-level drug response and numerous gene expression measures. Our results show that our method is able to identify genes associated with the multi-level drug response and to generate powerful predictive models for predicting the multi-level response. The proposed method allows us to jointly fit numerous correlated predictors and thus build efficient models for predicting the multi-level drug response. The predictive model for the multi-level drug response can be more informative than the previous approaches. Thus, the proposed approach provides a powerful tool for predicting multi-level drug response and has important impact on cancer studies.

Influences of Maternal Mental Illness on Psychological Outcomes for Adolescent Children.

ERIC Educational Resources Information Center

Oyserman, Daphna; Bybee, Deborah; Mowbray, Carol

2002-01-01

Explores the effects of maternal psychiatric symptoms and community functioning on child outcomes in a diverse sample of seriously mentally ill women caring for their teenaged children. In hierarchical multiple regression, for youth depression, we find effects for parenting style and maternal mental health; for youth anxiety and efficacy, effects…

Predictors of College Readiness: An Analysis of the Student Readiness Inventory

ERIC Educational Resources Information Center

Wilson, James K., III

2012-01-01

The purpose of this study was to better predict how a first semester college freshman becomes prepared for college. The theoretical framework guiding this study is Vrooms' expectancy theory, motivation plays a key role in success. This study used a hierarchical multiple regression model. The independent variables of interest included high school…

Do Nondomestic Undergraduates Choose a Major Field in Order to Maximize Grade Point Averages?

ERIC Educational Resources Information Center

Bergman, Matthew E.; Fass-Holmes, Barry

2016-01-01

The authors investigated whether undergraduates attending an American West Coast public university who were not U.S. citizens (nondomestic) maximized their grade point averages (GPA) through their choice of major field. Multiple regression hierarchical linear modeling analyses showed that major field's effect size was small for these…

Coping Strategies for Managing Acculturative Stress among Asian International Students

ERIC Educational Resources Information Center

Ra, Young-An; Trusty, Jerry

2015-01-01

This article examines the effects of specific coping strategies on managing acculturative stress and acculturation of Asian international students, based on a sample of 220 Asian international students in the U.S. The data were analyzed with hierarchical multiple regression using Baron and Kenny's (1986) mediation procedure. The results supported…

To Dream the Impossible Dream: College Graduation in Four Years

ERIC Educational Resources Information Center

Raikes, Mark H.; Berling, Victoria L.; Davis, Jody M.

2012-01-01

The cost of higher education continues to climb, while calls for increased institutional accountability and the value of a "four-year degree" are ever present. This research sought to identify factors by which consumers might predict four-year graduation rates at institutions within the CCCU. A hierarchical multiple regression analysis of data…

The Utility of the MAPI in Predicting Urban Middle School Competence.

ERIC Educational Resources Information Center

Paulus, John A.; Perosa, Linda M.

A sample of 107 eighth graders from a large urban middle school in the Midwest was administered the Millon Adolescent Personality Inventory (MAPI) to determine its utility in predicting grades earned, attendance, and social competence. The results of hierarchical multiple regression analysis indicated that the MAPI coping patterns significantly…

Too Latino and Not Latino Enough: The Role of Ethnicity-Related Stressors on Latino College Students' Life Satisfaction

ERIC Educational Resources Information Center

Ojeda, Lizette; Navarro, Rachel L.; Meza, Rocio Rosales; Arbona, Consuelo

2012-01-01

The relationship between demographics (generation status, age, gender, education level) and ethnicity-related stressors, namely, perceived discrimination, stereotype confirmation concern, and own-group conformity pressure, and the life satisfaction of 115 Latino college students was examined. A hierarchical multiple regression analysis indicated…

Parental Influences, Career Decision-Making Attributions, and Self-Efficacy: Differences for Men and Women?

ERIC Educational Resources Information Center

Lease, Suzanne H.; Dahlbeck, David T.

2009-01-01

This study investigated the relations of maternal and paternal attachment, parenting styles, and career locus of control to college students' career decision self-efficacy and explored whether these relations differed by student gender. Data analysis using hierarchical multiple regression revealed that attachment was relevant for females' career…

Predictors of Tuition Worth: Psychological Sense of Community, Institutional Integrity, and Student Thriving

ERIC Educational Resources Information Center

Conn, Steven M.

2017-01-01

Using hierarchical multiple regression analysis, this study examined the factors that contribute to the variation in students' subjective perceptions of the value of their tuition dollars. This study utilized data on 6,322 undergraduate students from 11 institutions in the Council for Christian Colleges & Universities (CCCU) who completed the…

African American Career Aspirations: Examining the Relative Influence of Internalized Racism

ERIC Educational Resources Information Center

Brown, Danice L.; Segrist, Daniel

2016-01-01

The present study examined the relative influence of aspects of internalized racism on the career aspirations of a sample of African American adults. Participants (N = 315), ranging in age from 18 to 62 years, completed measures of internalized racism and career aspirations online. A hierarchical multiple regression analysis was conducted to…

Modeling stream network-scale variation in Coho salmon overwinter survival and smolt size

Treesearch

Joseph L. Ebersole; Mike E. Colvin; Parker J. Wigington; Scott G. Leibowitz; Joan P. Baker; Jana E. Compton; Bruce A. Miller; Michael A. Carins; Bruce P. Hansen; Henry R. La Vigne

2009-01-01

We used multiple regression and hierarchical mixed-effects models to examine spatial patterns of overwinter survival and size at smolting in juvenile coho salmon Oncorhynchus kisutch in relation to habitat attributes across an extensive stream network in southwestern Oregon over 3 years. Contributing basin area explained the majority of spatial...

Negative Peer Relationships on Piracy Behavior: A Cross-Sectional Study of the Associations between Cyberbullying Involvement and Digital Piracy.

PubMed

Yubero, Santiago; Larrañaga, Elisa; Villora, Beatriz; Navarro, Raúl

2017-10-05

The present study examines the relationship between different roles in cyberbullying behaviors (cyberbullies, cybervictims, cyberbullies-victims, and uninvolved) and self-reported digital piracy. In a region of central Spain, 643 (49.3% females, 50.7% males) students (grades 7-10) completed a number of self-reported measures, including cyberbullying victimization and perpetration, self-reported digital piracy, ethical considerations of digital piracy, time spent on the Internet, and leisure activities related with digital content. The results of a series of hierarchical multiple regression models for the whole sample indicate that cyberbullies and cyberbullies-victims are associated with more reports of digital piracy. Subsequent hierarchical multiple regression analyses, done separately for males and females, indicate that the relationship between cyberbullying and self-reported digital piracy is sustained only for males. The ANCOVA analysis show that, after controlling for gender, self-reported digital piracy and time spent on the Internet, cyberbullies and cyberbullies-victims believe that digital piracy is a more ethically and morally acceptable behavior than victims and uninvolved adolescents believe. The results provide insight into the association between two deviant behaviors.

Are Career Centers Worthwhile?: Predicting Unique Variance in Career Outcomes through Career Center Usage

ERIC Educational Resources Information Center

Brotheridge, Celeste M.; Power, Jacqueline L.

2008-01-01

Purpose: This study seeks to examine the extent to which the use of career center services results in the significant incremental prediction of career outcomes beyond its established predictors. Design/methodology/approach: The authors survey the clients of a public agency's career center and use hierarchical multiple regressions in order to…

Posttraumatic Stress in U.S. Marines: The Role of Unit Cohesion and Combat Exposure

ERIC Educational Resources Information Center

Armistead-Jehle, Patrick; Johnston, Scott L.; Wade, Nathaniel G.; Ecklund, Christofer J.

2011-01-01

Combat exposure is a consistent predictor of posttraumatic stress (PTS). Understanding factors that might buffer the effects of combat exposure is crucial for helping service members weather the stress of war. In a study of U.S. Marines returning from Iraq, hierarchical multiple regression analyses revealed that unit cohesion and combat exposure…

The Role of Cultural Discontinuity in the Academic Outcomes of Latina/o High School Students

ERIC Educational Resources Information Center

Taggart, Amanda

2017-01-01

This study examined the impact of cultural discontinuity on the academic outcomes of Latina/o high school students. Hierarchical multiple regression was utilized to (a) investigate the significant differences between the characteristics and academic outcomes of high school students who do and do not experience cultural discontinuity between their…

Stress and Depression among Older Residents in Religious Monasteries: Do Friends and God Matter?

ERIC Educational Resources Information Center

Bishop, Bishop J.

2008-01-01

The purpose of this investigation was to explore how friendship and attachment to God provide protective benefits against stress and depression. Participants included 235 men and women, age 64 and older, residing in religious monasteries affiliated with the Order of St. Benedict. Hierarchical multiple regression analyses were completed to assess…

Examining the Relationship between Self-Esteem, Mattering, School Connectedness, and Wellness among Middle School Students

ERIC Educational Resources Information Center

Watson, Joshua C.

2018-01-01

With data collected from 254 middle grade (5-8) students enrolled in a rural, southern school district, this study sought to determine the influence of self-esteem, mattering, and school connectedness on students' overall wellness. Using a two-step hierarchical multiple regression analysis, the author found that school connectedness significantly…

Loneliness among University Students: Predictive Power of Sex Roles and Attachment Styles on Loneliness

ERIC Educational Resources Information Center

Ilhan, Tahsin

2012-01-01

This study examined the predictive power of sex roles and attachment styles on loneliness. A total of 188 undergraduate students (114 female, and 74 male) from Gazi University completed the Bem Sex Role Inventory, UCLA Loneliness Scale, and Relationship Scales Questionnaire. Hierarchic Multiple Regression analysis and t-test were used to test…

The Influence of Supports Strategies, Environmental Factors, and Client Characteristics on Quality of Life-Related Personal Outcomes

ERIC Educational Resources Information Center

Claes, Claudia; Van Hove, Geert; Vandevelde, Stijn; van Loon, Jos; Schalock, Robert

2012-01-01

The concept of quality of life (QOL) is increasingly being used as a support provision and outcomes evaluation framework in the field of intellectual disability (ID). The present study used a hierarchical multiple regression research design to determine the role that available supports strategies, environmental factors, and client characteristics…

Impact of Social Support and Coping on Acculturation and Acculturative Stress of East Asian International Students

ERIC Educational Resources Information Center

Ra, Young-An; Trusty, Jerry

2017-01-01

The purpose of this study was to investigate the effects of social support and coping on acculturation and acculturative stress of international students. The authors used hierarchical multiple regression analysis to study a sample of 232 East Asian international students. The results indicate that social support and coping were partial mediators…

Teacher Empathy and Its Relationship to the Standardized Test Scores of Diverse Secondary English Students

ERIC Educational Resources Information Center

Bostic, Timothy B.

2014-01-01

The purpose of this research study was to ascertain whether there is a relationship between teachers' cognitive role taking aspect of empathy and the Virginia Standards of Learning (VSOL), English/Reading scores of their students. A correlational research design using hierarchical multiple regression was used to look for this relationship. In…

Association between Caregiving, Meaning in Life, and Life Satisfaction beyond 50 in an Asian Sample: Age as a Moderator

ERIC Educational Resources Information Center

Ang, Rebecca P.; O, Jiaqing

2012-01-01

The association between caregiving, meaning in life, and life satisfaction was examined in sample of 519 older Asian adults beyond 50 years of age. Two hierarchical multiple regression analyses were conducted to examine age as moderator of the associations between caregiving, meaning in life, and life satisfaction. Age moderated the association…

The Influence of Socioeconomic, Parental, and District Factors on the 2013 MCAS Grade 4 Language Arts and Mathematics Scores

ERIC Educational Resources Information Center

Caldwell, Dale G.

2017-01-01

This correlational, explanatory study utilized multiple linear and hierarchical regression to examine the predictive power of socioeconomic, parental and district factors on the total percentage of students who scored Proficient or Advanced Proficient on the 2013 MCAS Grade 4 language arts and mathematics test. The population for this study…

Coping Self-Efficacy and Academic Stress among Hispanic First-Year College Students: The Moderating Role of Emotional Intelligence

ERIC Educational Resources Information Center

Watson, Joshua C.; Watson, April A.

2016-01-01

In this study, the authors examined the role that emotional intelligence plays in moderating the relationship between academic stress and coping self-efficacy among a sample of 125 Hispanic 1st-year college students enrolled at a medium-size, southern Hispanic-serving institution. Results of a 2-stage hierarchical multiple regression analysis…

Mediator and Moderator Role of Loneliness in the Relationship between Peer Victimization and Depressive Symptoms

ERIC Educational Resources Information Center

Baker, Ozgur Erdur; Bugay, Asli

2011-01-01

The goal of this study was to examine the mediator and moderator roles of loneliness in the relationship between peer victimisation and depressive symptoms. The participants of the study were 144 adolescents (66 girls, 78 boys) ranging in age from 11 to 15 years. Hierarchical multiple regression analyses were conducted to test the relations of…

The Role of Perceived Learning and Communities of Inquiry in Predicting International Students' Course Grades in Computer-Mediated Graduate Courses

ERIC Educational Resources Information Center

Wendt, Jillian L.; Nisbet, Deanna L.

2017-01-01

This study examined the predictive relationship among international students' sense of community, perceived learning, and end-of-course grades in computer-mediated, U.S. graduate-level courses. The community of inquiry (CoI) framework served as the theoretical foundation for the study. Step-wise hierarchical multiple regression showed no…

Negative Peer Relationships on Piracy Behavior: A Cross-Sectional Study of the Associations between Cyberbullying Involvement and Digital Piracy

PubMed Central

Yubero, Santiago; Larrañaga, Elisa; Villora, Beatriz

2017-01-01

The present study examines the relationship between different roles in cyberbullying behaviors (cyberbullies, cybervictims, cyberbullies-victims, and uninvolved) and self-reported digital piracy. In a region of central Spain, 643 (49.3% females, 50.7% males) students (grades 7–10) completed a number of self-reported measures, including cyberbullying victimization and perpetration, self-reported digital piracy, ethical considerations of digital piracy, time spent on the Internet, and leisure activities related with digital content. The results of a series of hierarchical multiple regression models for the whole sample indicate that cyberbullies and cyberbullies-victims are associated with more reports of digital piracy. Subsequent hierarchical multiple regression analyses, done separately for males and females, indicate that the relationship between cyberbullying and self-reported digital piracy is sustained only for males. The ANCOVA analysis show that, after controlling for gender, self-reported digital piracy and time spent on the Internet, cyberbullies and cyberbullies-victims believe that digital piracy is a more ethically and morally acceptable behavior than victims and uninvolved adolescents believe. The results provide insight into the association between two deviant behaviors. PMID:28981466

Factors associated with preventable infant death: a multiple logistic regression.

PubMed

Vidal E Silva, Sandra Maria Cunha; Tuon, Rogério Antonio; Probst, Livia Fernandes; Gondinho, Brunna Verna Castro; Pereira, Antonio Carlos; Meneghim, Marcelo de Castro; Cortellazzi, Karine Laura; Ambrosano, Glaucia Maria Bovi

2018-01-01

OBJECTIVE To identify and analyze factors associated with preventable child deaths. METHODS This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight.

Potential suicide ideation and its association with observing bullying at school.

PubMed

Rivers, Ian; Noret, Nathalie

2013-07-01

To explore those contextual factors that predict potential suicide ideation among students who observe bullying at school. 1,592 students of whom 1,009 who reported having observed bullying at school were surveyed from 14 secondary schools in the North of England. Role-related (not-involved, victim, perpetrator, 'bully-victim' and observer) and gender-wise comparisons of key variables were undertaken prior to hierarchical multiple regressions to determine those associated with potential suicide ideation. Analyses indicated that students who observed bullying behavior were significantly more likely than those not involved in bullying to report symptoms of interpersonal sensitivity, to indicate greater helplessness and potential suicide ideation. Hierarchical multiple regression analyses indicated that, among boys, helplessness (β = .48, p < .001) followed by frequency of bullying perpetration (β = .11, p < .001), and a less supportive home climate (β = -.10, p < .004) were associated with potential suicide ideation. Helplessness was found to be the only variable associated with potential suicide ideation among girls (β = .49, p < .001). Perceived helplessness is significantly associated with potential suicide ideation among students who observe bullying at school. Copyright © 2013 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

The Influence of the Student Mobility Rate on the Graduation Rate in the State of New Jersey

ERIC Educational Resources Information Center

Ross, Lavetta S.

2016-01-01

This study examined the influence of the student mobility rate on the high school graduation rate of schools in the state of New Jersey. Variables found to have an influence on the graduation rate in the extant literature were evaluated and reported. The analysis included multiple and hierarchical regression models for school variables (i.e.,…

Memory complaints in epilepsy: An examination of the role of mood and illness perceptions.

PubMed

Tinson, Deborah; Crockford, Christopher; Gharooni, Sara; Russell, Helen; Zoeller, Sophie; Leavy, Yvonne; Lloyd, Rachel; Duncan, Susan

2018-03-01

The study examined the role of mood and illness perceptions in explaining the variance in the memory complaints of patients with epilepsy. Forty-four patients from an outpatient tertiary care center and 43 volunteer controls completed a formal assessment of memory and a verbal fluency test, as well as validated self-report questionnaires on memory complaints, mood, and illness perceptions. In hierarchical multiple regression analyses, objective memory test performance and verbal fluency did not contribute significantly to the variance in memory complaints for either patients or controls. In patients, illness perceptions and mood were highly correlated. Illness perceptions correlated more highly with memory complaints than mood and were therefore added to the multiple regression analysis. This accounted for an additional 25% of the variance, after controlling for objective memory test performance and verbal fluency, and the model was significant (model B). In order to compare with other studies, mood was added to a second model, instead of illness perceptions. This accounted for an additional 24% of the variance, which was again significant (model C). In controls, low mood accounted for 11% of the variance in memory complaints (model C2). A measure of illness perceptions was more highly correlated with the memory complaints of patients with epilepsy than with a measure of mood. In a hierarchical multiple regression model, illness perceptions accounted for 25% of the variance in memory complaints. Illness perceptions could provide useful information in a clinical investigation into the self-reported memory complaints of patients with epilepsy, alongside the assessment of mood and formal memory testing. Copyright © 2017 Elsevier Inc. All rights reserved.

The Association between Job-Related Psychosocial Factors and Prolonged Fatigue among Industrial Employees in Taiwan

PubMed Central

Tang, Feng-Cheng; Li, Ren-Hau; Huang, Shu-Ling

2016-01-01

Background and Objectives Prolonged fatigue is common among employees, but the relationship between prolonged fatigue and job-related psychosocial factors is seldom studied. This study aimed (1) to assess the individual relations of physical condition, psychological condition, and job-related psychosocial factors to prolonged fatigue among employees, and (2) to clarify the associations between job-related psychosocial factors and prolonged fatigue using hierarchical regression when demographic characteristics, physical condition, and psychological condition were controlled. Methods A cross-sectional study was employed. A questionnaire was used to obtain information pertaining to demographic characteristics, physical condition (perceived physical health and exercise routine), psychological condition (perceived mental health and psychological distress), job-related psychosocial factors (job demand, job control, and workplace social support), and prolonged fatigue. Results A total of 3,109 employees were recruited. Using multiple regression with controlled demographic characteristics, psychological condition explained 52.0% of the variance in prolonged fatigue. Physical condition and job-related psychosocial factors had an adjusted R2 of 0.370 and 0.251, respectively. Hierarchical multiple regression revealed that, among job-related psychosocial factors, job demand and job control showed significant associations with fatigue. Conclusion Our findings highlight the role of job demand and job control, in addition to the role of perceived physical health, perceived mental health, and psychological distress, in workers’ prolonged fatigue. However, more research is required to verify the causation among all the variables. PMID:26930064

Theory of mind and executive function: working-memory capacity and inhibitory control as predictors of false-belief task performance.

PubMed

Mutter, Brigitte; Alcorn, Mark B; Welsh, Marilyn

2006-06-01

This study of the relationship between theory of mind and executive function examined whether on the false-belief task age differences between 3 and 5 ears of age are related to development of working-memory capacity and inhibitory processes. 72 children completed tasks measuring false belief, working memory, and inhibition. Significant age effects were observed for false-belief and working-memory performance, as well as for the false-alarm and perseveration measures of inhibition. A simultaneous multiple linear regression specified the contribution of age, inhibition, and working memory to the prediction of false-belief performance. This model was significant, explaining a total of 36% of the variance. To examine the independent contributions of the working-memory and inhibition variables, after controlling for age, two hierarchical multiple linear regressions were conducted. These multiple regression analyses indicate that working memory and inhibition make small, overlapping contributions to false-belief performance after accounting for age, but that working memory, as measured in this study, is a somewhat better predictor of false-belief understanding than is inhibition.

Principal Covariates Clusterwise Regression (PCCR): Accounting for Multicollinearity and Population Heterogeneity in Hierarchically Organized Data.

PubMed

Wilderjans, Tom Frans; Vande Gaer, Eva; Kiers, Henk A L; Van Mechelen, Iven; Ceulemans, Eva

2017-03-01

In the behavioral sciences, many research questions pertain to a regression problem in that one wants to predict a criterion on the basis of a number of predictors. Although in many cases, ordinary least squares regression will suffice, sometimes the prediction problem is more challenging, for three reasons: first, multiple highly collinear predictors can be available, making it difficult to grasp their mutual relations as well as their relations to the criterion. In that case, it may be very useful to reduce the predictors to a few summary variables, on which one regresses the criterion and which at the same time yields insight into the predictor structure. Second, the population under study may consist of a few unknown subgroups that are characterized by different regression models. Third, the obtained data are often hierarchically structured, with for instance, observations being nested into persons or participants within groups or countries. Although some methods have been developed that partially meet these challenges (i.e., principal covariates regression (PCovR), clusterwise regression (CR), and structural equation models), none of these methods adequately deals with all of them simultaneously. To fill this gap, we propose the principal covariates clusterwise regression (PCCR) method, which combines the key idea's behind PCovR (de Jong & Kiers in Chemom Intell Lab Syst 14(1-3):155-164, 1992) and CR (Späth in Computing 22(4):367-373, 1979). The PCCR method is validated by means of a simulation study and by applying it to cross-cultural data regarding satisfaction with life.

Team Performance Improvement: Mediating Roles of Employee Job Autonomy and Quality of Team Leader-Member Relations in Supportive Organizations in the Korean Business Context

ERIC Educational Resources Information Center

Song, Ji Hoon

2011-01-01

The purpose of this research was to examine the mediating roles of job autonomy and the quality of the leader-member relationship to explain the impact of organizational support on team performance. A total of 228 cases collected from Korean business organizations were used for data analysis. Hierarchical multiple regression, Type 1 SS-based…

Factors associated with preventable infant death: a multiple logistic regression

PubMed Central

Vidal e Silva, Sandra Maria Cunha; Tuon, Rogério Antonio; Probst, Livia Fernandes; Gondinho, Brunna Verna Castro; Pereira, Antonio Carlos; Meneghim, Marcelo de Castro; Cortellazzi, Karine Laura; Ambrosano, Glaucia Maria Bovi

2018-01-01

ABSTRACT OBJECTIVE To identify and analyze factors associated with preventable child deaths. METHODS This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight. PMID:29723389

Examination of the Relationship Between Autonomy and English Achievement as Mediated by Foreign Language Classroom Anxiety.

PubMed

Ghorbandordinejad, Farhad; Ahmadabad, Roghayyeh Moradian

2016-06-01

This study investigated the relationship between autonomy and English language achievement among third-grade high school students as mediated by foreign language classroom anxiety in a city in the north-west of Iran. A sample of 400 students (187 males, and 213 females) was assessed for their levels of autonomy and foreign language anxiety using the Autonomy Questionnaire and Foreign Language Classroom Anxiety Scale (FLCAS), respectively. Participants' scores on their final English exam were also used as the measurement of their English achievement. The results of Pearson correlation revealed a strong correlation between learners' autonomy and their English achievement (r [Formula: see text] .406, n [Formula: see text] 400, [Formula: see text]). Also, foreign language classroom anxiety was found to be significantly and negatively correlated with English achievement (r [Formula: see text] [Formula: see text].472, n [Formula: see text] 400, [Formula: see text]). Hierarchical multiple regression was used to assess the ability of autonomy to predict language learning achievement, after controlling for the influence of anxiety. In sum, the results of hierarchical multiple regressions revealed that foreign language classroom anxiety significantly mediates the relationship between autonomy and English language achievement. Implications for both teachers and learners, and suggestions for further research are provided.

Estimating mono- and bi-phasic regression parameters using a mixture piecewise linear Bayesian hierarchical model

PubMed Central

Zhao, Rui; Catalano, Paul; DeGruttola, Victor G.; Michor, Franziska

2017-01-01

The dynamics of tumor burden, secreted proteins or other biomarkers over time, is often used to evaluate the effectiveness of therapy and to predict outcomes for patients. Many methods have been proposed to investigate longitudinal trends to better characterize patients and to understand disease progression. However, most approaches assume a homogeneous patient population and a uniform response trajectory over time and across patients. Here, we present a mixture piecewise linear Bayesian hierarchical model, which takes into account both population heterogeneity and nonlinear relationships between biomarkers and time. Simulation results show that our method was able to classify subjects according to their patterns of treatment response with greater than 80% accuracy in the three scenarios tested. We then applied our model to a large randomized controlled phase III clinical trial of multiple myeloma patients. Analysis results suggest that the longitudinal tumor burden trajectories in multiple myeloma patients are heterogeneous and nonlinear, even among patients assigned to the same treatment cohort. In addition, between cohorts, there are distinct differences in terms of the regression parameters and the distributions among categories in the mixture. Those results imply that longitudinal data from clinical trials may harbor unobserved subgroups and nonlinear relationships; accounting for both may be important for analyzing longitudinal data. PMID:28723910

Depression in non-Korean women residing in South Korea following marriage to Korean men.

PubMed

Kim, Hyun-Sil; Kim, Hun-Soo

2013-06-01

The purpose of the study was to examine the roles of acculturative stress, life satisfaction, and language literacy in depression in non-Korean women residing in South Korea following marriage to Korean men. A cross-sectional study was performed, using an anonymous, self-reporting questionnaire. A total of 173 women were selected using a proportional stratified random sampling method. The relation between acculturation, depression, language literacy, life satisfaction and socio-demographic variables and the predictors of depression among participants were analyzed. The analysis included descriptive statistics and hierarchical multiple regression. Of the participants, 9.2% had depression, which was almost twice the rate of depression found in the general Korean population. In hierarchical multiple regression analysis, acculturative stress (beta=-.325, P<.001) and life satisfaction (beta=-.282, P=.003) were significantly associated with the level of depression. This final model was statistically significant and life satisfaction, acculturative stress, language literacy accounted for 31.0% (adjusted R(2)) of the variance in the depression score (P<.001). Elevated acculturative stress and less life satisfaction were significantly associated with a higher level of depression in migrant wives in Korea. Implications for practice and research are discussed. Copyright © 2013 Elsevier Inc. All rights reserved.

Analyzing Multilevel Data: An Empirical Comparison of Parameter Estimates of Hierarchical Linear Modeling and Ordinary Least Squares Regression

ERIC Educational Resources Information Center

Rocconi, Louis M.

2011-01-01

Hierarchical linear models (HLM) solve the problems associated with the unit of analysis problem such as misestimated standard errors, heterogeneity of regression and aggregation bias by modeling all levels of interest simultaneously. Hierarchical linear modeling resolves the problem of misestimated standard errors by incorporating a unique random…

Self-reported work ability and work performance in workers with chronic nonspecific musculoskeletal pain.

PubMed

de Vries, Haitze J; Reneman, Michiel F; Groothoff, Johan W; Geertzen, Jan H B; Brouwer, Sandra

2013-03-01

To assess self-reported work ability and work performance of workers who stay at work despite chronic nonspecific musculoskeletal pain (CMP), and to explore which variables were associated with these outcomes. In a cross-sectional study we assessed work ability (Work Ability Index, single item scale 0-10) and work performance (Health and Work Performance Questionnaire, scale 0-10) among 119 workers who continued work while having CMP. Scores of work ability and work performance were categorized into excellent (10), good (9), moderate (8) and poor (0-7). Hierarchical multiple regression and logistic regression analysis was used to analyze the relation of socio-demographic, pain-related, personal- and work-related variables with work ability and work performance. Mean work ability and work performance were 7.1 and 7.7 (poor to moderate). Hierarchical multiple regression analysis revealed that higher work ability scores were associated with lower age, better general health perception, and higher pain self-efficacy beliefs (R(2) = 42 %). Higher work performance was associated with lower age, higher pain self-efficacy beliefs, lower physical work demand category and part-time work (R(2) = 37 %). Logistic regression analysis revealed that work ability ≥8 was significantly explained by age (OR = 0.90), general health perception (OR = 1.04) and pain self-efficacy (OR = 1.15). Work performance ≥8 was explained by pain self-efficacy (OR = 1.11). Many workers with CMP who stay at work report poor to moderate work ability and work performance. Our findings suggest that a subgroup of workers with CMP can stay at work with high work ability and performance, especially when they have high beliefs of pain self-efficacy. Our results further show that not the pain itself, but personal and work-related factors relate to work ability and work performance.

[Mother-child relationship and associated factors: Hierarchical analysis of the population base in a Brazilian state capital - BRISA Study].

PubMed

Cavalcante, Milady Cutrim Vieira; Lamy, Fernando; França, Ana Karina Teixeira da Cunha; Lamy, Zeni Carvalho

2017-05-01

Several factors can interfere in the mother-child relationship. Studies about different maternal characteristics and this relationship are scarce; they mainly evaluate women with psychopathology and use simultaneous regression models with adjustment for multiple confounders. This study aimed to assess factors associated with losses in the mother-child relationship through a cohort of 3,215 mothers of children between 15 and 36 months of age. Losses in the mother-child relationship, assessed by the Postpartum Bonding Questionnaire, was the outcome variable and the explanatory variables were demographic, socioeconomic, reproductive health and mental health of mothers as well as the conditions of the birth of children. It used multivariate regression analysis with a hierarchical approach in which the hierarchical blocks were structured according to the influence on the mother-child relationship. The prevalence of losses in the mother-child relationship was high (12.6%) and associated risk factors to lower maternal education (RR = 1.64), having unplanned pregnancy (RR = 1.42), consumption of alcoholic beverages during pregnancy (RR = 1.42) and maternal stress symptoms (RR = 1.88) and depression (RR = 2.00). Education and elements related to mental health were risks for damage in the mother-child relationship.

An Investigation of the Relations Between Student Knowledge, Personal Contact, and Attitudes Toward Individuals with Schizophrenia

PubMed Central

Eack, Shaun M.; Newhill, Christina E.

2013-01-01

A survey of 118 MSW students was conducted to examine the relationship between social work students’ knowledge about, contact with, and attitudes toward persons with schizophrenia. Hierarchical regression analyses indicated that students’ knowledge about and contact with persons with schizophrenia were significantly related to better attitudes toward this population. Moderated multiple regression analyses revealed a significant interaction between knowledge about and contact with persons with schizophrenia, such that knowledge was only related to positive attitudes among students who had more personal contact with persons with the illness. Implications for social work training in severe mental illness are discussed (99 words). PMID:24353396

Analyzing Multilevel Data: Comparing Findings from Hierarchical Linear Modeling and Ordinary Least Squares Regression

ERIC Educational Resources Information Center

Rocconi, Louis M.

2013-01-01

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this point, this study examined the influences of seniors' self-reported critical thinking abilities three ways: (1) an OLS regression with the student…

Understanding the Personality and Behavioral Mechanisms Defining Hypersexuality in Men Who Have Sex with Men

PubMed Central

Miner, Michael H.; Romine, Rebecca Swinburne; Raymond, Nancy; Janssen, Erick; MacDonald, Angus; Coleman, Eli

2016-01-01

Objective The purpose of this study was to investigate personality factors and behavioral mechanisms that are relevant to hypersexuality in men who have sex with men. Method A sample of 242 men who have sex with men were recruited from various sites in a moderate size mid-western city. Participants were assigned to hypersexuality or control group using a SCID-type interview. Self-report inventories were administered that measured the broad band personality constructs of positive emotionality, negative emotionality and constraint, and more narrow constructs related to sexual behavioral control, behavioral activation, behavioral inhibition, sexual excitation, sexual inhibition, impulsivity, ADHD, and sexual behavior. Hierarchical logistic regression was used to determine the relationship between these personality and behavioral variables and group membership. Results A hierarchical logistic regression, controlling for age, revealed a significant positive relationship between hypersexuality and negative emotionality and a negative relationship with constraint. None of the behavioral mechanism variables entered this equation. However, a hierarchical multiple regression predicting sexual behavioral control indicated that lack of such control was positively related to sexual excitation and sexual inhibition due to the threat of performance failure and negatively related to sexual inhibition due to the threat of performance consequences and general behavioral inhibition Conclusions Hypersexuality was found to be related to two broad personality factors that are characterized by emotional reactivity, risk-taking, and impulsivity. The associated lack of sexual behavior control is influenced by both sexual excitatory and inhibitory mechanisms, but not general behavioral activation and inhibitory mechanisms. PMID:27486137

Bayesian Correction for Misclassification in Multilevel Count Data Models.

PubMed

Nelson, Tyler; Song, Joon Jin; Chin, Yoo-Mi; Stamey, James D

2018-01-01

Covariate misclassification is well known to yield biased estimates in single level regression models. The impact on hierarchical count models has been less studied. A fully Bayesian approach to modeling both the misclassified covariate and the hierarchical response is proposed. Models with a single diagnostic test and with multiple diagnostic tests are considered. Simulation studies show the ability of the proposed model to appropriately account for the misclassification by reducing bias and improving performance of interval estimators. A real data example further demonstrated the consequences of ignoring the misclassification. Ignoring misclassification yielded a model that indicated there was a significant, positive impact on the number of children of females who observed spousal abuse between their parents. When the misclassification was accounted for, the relationship switched to negative, but not significant. Ignoring misclassification in standard linear and generalized linear models is well known to lead to biased results. We provide an approach to extend misclassification modeling to the important area of hierarchical generalized linear models.

What are hierarchical models and how do we analyze them?

USGS Publications Warehouse

Royle, Andy

2016-01-01

In this chapter we provide a basic definition of hierarchical models and introduce the two canonical hierarchical models in this book: site occupancy and N-mixture models. The former is a hierarchical extension of logistic regression and the latter is a hierarchical extension of Poisson regression. We introduce basic concepts of probability modeling and statistical inference including likelihood and Bayesian perspectives. We go through the mechanics of maximizing the likelihood and characterizing the posterior distribution by Markov chain Monte Carlo (MCMC) methods. We give a general perspective on topics such as model selection and assessment of model fit, although we demonstrate these topics in practice in later chapters (especially Chapters 5, 6, 7, and 10 Chapter 5 Chapter 6 Chapter 7 Chapter 10)

Feminist identity as a predictor of eating disorder diagnostic status.

PubMed

Green, Melinda A; Scott, Norman A; Riopel, Cori M; Skaggs, Anna K

2008-06-01

Passive Acceptance (PA) and Active Commitment (AC) subscales of the Feminist Identity Development Scale (FIDS) were examined as predictors of eating disorder diagnostic status as assessed by the Questionnaire for Eating Disorder Diagnoses (Q-EDD). Results of a hierarchical regression analysis revealed PA and AC scores were not statistically significant predictors of ED diagnostic status after controlling for diagnostic subtype. Results of a multiple regression analysis revealed FIDS as a statistically significant predictor of ED diagnostic status when failing to control for ED diagnostic subtype. Discrepancies suggest ED diagnostic subtype may serve as a moderator variable in the relationship between ED diagnostic status and FIDS. (c) 2008 Wiley Periodicals, Inc.

Marital and sexual satisfaction in Chinese families: exploring the moderating effects.

PubMed

Guo, Baorong; Huang, Jin

2005-01-01

This study examines the relationship between marital satisfaction and sexual satisfaction in Chinese families. Hierarchical multiple regression using data from the 1993 China Housing Survey indicates that, when controlling for the other variables, sexual satisfaction has considerable impact on marital satisfaction. We also found that the effects of sexual satisfaction on marital satisfaction are moderated by gender and education. The study suggests that marriage counseling, with an emphasis on promoting awareness of sexual quality, would be helpful in addressing marital problems in Chinese families.

Relation of organizational citizenship behavior and locus of control.

PubMed

Turnipseed, David L; Bacon, Calvin M

2009-12-01

The relation of organizational citizenship behavior and locus of control was assessed in a sample of 286 college students (52% men; M age = 24 yr.) who worked an average of 26 hr. per week. Measures were Spector's Work Locus of Control Scale and Podsakoff, et al.'s Organization Citizenship Behavior scale. Hierarchical multiple regressions indicated positive association of scores on work locus of control with scores on each of the four tested dimensions of organizational citizenship, as well as total organizational citizenship behavior.

Reasons for Hierarchical Linear Modeling: A Reminder.

ERIC Educational Resources Information Center

Wang, Jianjun

1999-01-01

Uses examples of hierarchical linear modeling (HLM) at local and national levels to illustrate proper applications of HLM and dummy variable regression. Raises cautions about the circumstances under which hierarchical data do not need HLM. (SLD)

Concurrent and convergent validity of the mobility- and multidimensional-hierarchical disability categorization models with physical performance in community older adults.

PubMed

Hu, Ming-Hsia; Yeh, Chih-Jun; Chen, Tou-Rong; Wang, Ching-Yi

2014-01-01

A valid, time-efficient and easy-to-use instrument is important for busy clinical settings, large scale surveys, or community screening use. The purpose of this study was to validate the mobility hierarchical disability categorization model (an abbreviated model) by investigating its concurrent validity with the multidimensional hierarchical disability categorization model (a comprehensive model) and triangulating both models with physical performance measures in older adults. 604 community-dwelling older adults of at least 60 years in age volunteered to participate. Self-reported function on mobility, instrumental activities of daily living (IADL) and activities of daily living (ADL) domains were recorded and then the disability status determined based on both the multidimensional hierarchical categorization model and the mobility hierarchical categorization model. The physical performance measures, consisting of grip strength and usual and fastest gait speeds (UGS, FGS), were collected on the same day. Both categorization models showed high correlation (γs = 0.92, p < 0.001) and agreement (kappa = 0.61, p < 0.0001). Physical performance measures demonstrated significant different group means among the disability subgroups based on both categorization models. The results of multiple regression analysis indicated that both models individually explain similar amount of variance on all physical performances, with adjustments for age, sex, and number of comorbidities. Our results found that the mobility hierarchical disability categorization model is a valid and time efficient tool for large survey or screening use.

The impact of depression on fatigue in patients with haemodialysis: a correlational study.

PubMed

Bai, Yu-Ling; Lai, Liu-Yuan; Lee, Bih-O; Chang, Yong-Yuan; Chiou, Chou-Ping

2015-07-01

To investigate the fatigue levels and important fatigue predictors for patients undergoing haemodialysis. Fatigue is a common symptom for haemodialysis patients. With its debilitating and distressing effects, it impacts patients in terms of their quality of life while also increasing their mortality rate. A descriptive correlational study. Convenience sampling was conducted at six chosen haemodialysis centres in Southern Taiwan. Data were collected via a structured questionnaire from 193 haemodialysis patients. The scales involved in this study were socio-demographic details, the Center for Epidemiologic Studies Depression Scale, and the Fatigue Scale for haemodialysis patients. Data analysis included percentages, means, standard deviations and hierarchical multiple regression analysis. The fatigue level for haemodialysis patients was in the moderate range. Results from the hierarchical multiple regression analysis indicated that age, employment status, types of medications, physical activity and depression were significant. Of those variables, depression had the greatest impact on the patients' fatigue level, accounting for up to 30·6% of the explanatory power. The total explanatory power of the regression model was 64·2%. This study determined that for haemodialysis patients, unemployment, increased age, taking more medications or lower exercise frequencies resulted in more severe depression, which translated in turn to higher levels of fatigue. Among all these factors, depression had the greatest impact on the patients' fatigue levels. Not only is this finding beneficial to future studies on fatigue as a source of reference, it is also helpful in our understanding of important predictors relating to fatigue in the everyday lives of haemodialysis patients. It is recommended that when caring for fatigued patients, more care should be dedicated to their psychological states, and assistance should be provided in a timely way so as to reduce the amount of fatigue suffered. © 2015 John Wiley & Sons Ltd.

Development of the Sydney Falls Risk Screening Tool in brain injury rehabilitation: A multisite prospective cohort study.

PubMed

McKechnie, Duncan; Fisher, Murray J; Pryor, Julie; Bonser, Melissa; Jesus, Jhoven De

2018-03-01

To develop a falls risk screening tool (FRST) sensitive to the traumatic brain injury rehabilitation population. Falls are the most frequently recorded patient safety incident within the hospital context. The inpatient traumatic brain injury rehabilitation population is one particular population that has been identified as at high risk of falls. However, no FRST has been developed for this patient population. Consequently in the traumatic brain injury rehabilitation population, there is the real possibility that nurses are using falls risk screening tools that have a poor clinical utility. Multisite prospective cohort study. Univariate and multiple logistic regression modelling techniques (backward elimination, elastic net and hierarchical) were used to examine each variable's association with patients who fell. The resulting FRST's clinical validity was examined. Of the 140 patients in the study, 41 (29%) fell. Through multiple logistic regression modelling, 11 variables were identified as predictors for falls. Using hierarchical logistic regression, five of these were identified for inclusion in the resulting falls risk screening tool: prescribed mobility aid (such as, wheelchair or frame), a fall since admission to hospital, impulsive behaviour, impaired orientation and bladder and/or bowel incontinence. The resulting FRST has good clinical validity (sensitivity = 0.9; specificity = 0.62; area under the curve = 0.87; Youden index = 0.54). The tool was significantly more accurate (p = .037 on DeLong test) in discriminating fallers from nonfallers than the Ontario Modified STRATIFY FRST. A FRST has been developed using a comprehensive statistical framework, and evidence has been provided of this tool's clinical validity. The developed tool, the Sydney Falls Risk Screening Tool, should be considered for use in brain injury rehabilitation populations. © 2017 John Wiley & Sons Ltd.

The Cancer Stem Cell Fraction in Hierarchically Organized Tumors Can Be Estimated Using Mathematical Modeling and Patient-Specific Treatment Trajectories.

PubMed

Werner, Benjamin; Scott, Jacob G; Sottoriva, Andrea; Anderson, Alexander R A; Traulsen, Arne; Altrock, Philipp M

2016-04-01

Many tumors are hierarchically organized and driven by a subpopulation of tumor-initiating cells (TIC), or cancer stem cells. TICs are uniquely capable of recapitulating the tumor and are thought to be highly resistant to radio- and chemotherapy. Macroscopic patterns of tumor expansion before treatment and tumor regression during treatment are tied to the dynamics of TICs. Until now, the quantitative information about the fraction of TICs from macroscopic tumor burden trajectories could not be inferred. In this study, we generated a quantitative method based on a mathematical model that describes hierarchically organized tumor dynamics and patient-derived tumor burden information. The method identifies two characteristic equilibrium TIC regimes during expansion and regression. We show that tumor expansion and regression curves can be leveraged to infer estimates of the TIC fraction in individual patients at detection and after continued therapy. Furthermore, our method is parameter-free; it solely requires the knowledge of a patient's tumor burden over multiple time points to reveal microscopic properties of the malignancy. We demonstrate proof of concept in the case of chronic myeloid leukemia (CML), wherein our model recapitulated the clinical history of the disease in two independent patient cohorts. On the basis of patient-specific treatment responses in CML, we predict that after one year of targeted treatment, the fraction of TICs increases 100-fold and continues to increase up to 1,000-fold after 5 years of treatment. Our novel framework may significantly influence the implementation of personalized treatment strategies and has the potential for rapid translation into the clinic. Cancer Res; 76(7); 1705-13. ©2016 AACR. ©2016 American Association for Cancer Research.

Logistic Stick-Breaking Process

PubMed Central

Ren, Lu; Du, Lan; Carin, Lawrence; Dunson, David B.

2013-01-01

A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are more likely to be clustered together. The sticks in the LSBP are realized via multiple logistic regression functions, with shrinkage priors employed to favor contiguous and spatially localized segments. The LSBP is also extended for the simultaneous processing of multiple data sets, yielding a hierarchical logistic stick-breaking process (H-LSBP). The model parameters (atoms) within the H-LSBP are shared across the multiple learning tasks. Efficient variational Bayesian inference is derived, and comparisons are made to related techniques in the literature. Experimental analysis is performed for audio waveforms and images, and it is demonstrated that for segmentation applications the LSBP yields generally homogeneous segments with sharp boundaries. PMID:25258593

The Relationship between Structure-Related Food Parenting Practices and Children's Heightened Levels of Self-Regulation in Eating.

PubMed

Frankel, Leslie A; Powell, Elisabeth; Jansen, Elena

Food parenting practices influence children's eating behaviors and weight status. Food parenting practices also influence children's self-regulatory abilities around eating, which has important implications for children's eating behaviors. The purpose of the following study is to examine use of structure-related food parenting practices and the potential impact on children's ability to self-regulate energy intake. Parents (n = 379) of preschool age children (M = 4.10 years, SD = 0.92) were mostly mothers (68.6%), Non-White (54.5%), and overweight/obese (50.1%). Hierarchical Multiple Regression was conducted to predict child self-regulation in eating from structure-related food parenting practices (structured meal setting, structured meal timing, family meal setting), while accounting for child weight status, parent age, gender, BMI, race, and yearly income. Hierarchical Multiple Regression results indicated that structure-related feeding practices (structured meal setting and family meal setting, but not structured meal timing) are associated with children's heightened levels of self-regulation in eating. Models examining the relationship within children who were normal weight and overweight/obese indicated the following: a relationship between structured meal setting and heightened self-regulation in eating for normal-weight children and a relationship between family meal setting and heightened self-regulation in eating for overweight/obese children. Researchers should further investigate these potentially modifiable parent feeding behaviors as a protective parenting technique, which possibly contributes to a healthy weight development by enhancing self-regulation in eating.

Comparing methods of analysing datasets with small clusters: case studies using four paediatric datasets.

PubMed

Marston, Louise; Peacock, Janet L; Yu, Keming; Brocklehurst, Peter; Calvert, Sandra A; Greenough, Anne; Marlow, Neil

2009-07-01

Studies of prematurely born infants contain a relatively large percentage of multiple births, so the resulting data have a hierarchical structure with small clusters of size 1, 2 or 3. Ignoring the clustering may lead to incorrect inferences. The aim of this study was to compare statistical methods which can be used to analyse such data: generalised estimating equations, multilevel models, multiple linear regression and logistic regression. Four datasets which differed in total size and in percentage of multiple births (n = 254, multiple 18%; n = 176, multiple 9%; n = 10 098, multiple 3%; n = 1585, multiple 8%) were analysed. With the continuous outcome, two-level models produced similar results in the larger dataset, while generalised least squares multilevel modelling (ML GLS 'xtreg' in Stata) and maximum likelihood multilevel modelling (ML MLE 'xtmixed' in Stata) produced divergent estimates using the smaller dataset. For the dichotomous outcome, most methods, except generalised least squares multilevel modelling (ML GH 'xtlogit' in Stata) gave similar odds ratios and 95% confidence intervals within datasets. For the continuous outcome, our results suggest using multilevel modelling. We conclude that generalised least squares multilevel modelling (ML GLS 'xtreg' in Stata) and maximum likelihood multilevel modelling (ML MLE 'xtmixed' in Stata) should be used with caution when the dataset is small. Where the outcome is dichotomous and there is a relatively large percentage of non-independent data, it is recommended that these are accounted for in analyses using logistic regression with adjusted standard errors or multilevel modelling. If, however, the dataset has a small percentage of clusters greater than size 1 (e.g. a population dataset of children where there are few multiples) there appears to be less need to adjust for clustering.

Hierarchical faunal filters: An approach to assessing effects of habitat and nonnative species on native fishes

USGS Publications Warehouse

Quist, M.C.; Rahel, F.J.; Hubert, W.A.

2005-01-01

Understanding factors related to the occurrence of species across multiple spatial and temporal scales is critical to the conservation and management of native fishes, especially for those species at the edge of their natural distribution. We used the concept of hierarchical faunal filters to provide a framework for investigating the influence of habitat characteristics and normative piscivores on the occurrence of 10 native fishes in streams of the North Platte River watershed in Wyoming. Three faunal filters were developed for each species: (i) large-scale biogeographic, (ii) local abiotic, and (iii) biotic. The large-scale biogeographic filter, composed of elevation and stream-size thresholds, was used to determine the boundaries within which each species might be expected to occur. Then, a local abiotic filter (i.e., habitat associations), developed using binary logistic-regression analysis, estimated the probability of occurrence of each species from features such as maximum depth, substrate composition, submergent aquatic vegetation, woody debris, and channel morphology (e.g., amount of pool habitat). Lastly, a biotic faunal filter was developed using binary logistic regression to estimate the probability of occurrence of each species relative to the abundance of nonnative piscivores in a reach. Conceptualising fish assemblages within a framework of hierarchical faunal filters is simple and logical, helps direct conservation and management activities, and provides important information on the ecology of fishes in the western Great Plains of North America. ?? Blackwell Munksgaard, 2004.

Father and adolescent son variables related to son's HIV prevention.

PubMed

Glenn, Betty L; Demi, Alice; Kimble, Laura P

2008-02-01

The purpose of this study was to examine the relationship between fathers' influences and African American male adolescents' perceptions of self-efficacy to reduce high-risk sexual behavior. A convenience sample of 70 fathers was recruited from churches in a large metropolitan area in the South. Hierarchical multiple linear regression analysis indicated father-related factors and son-related factors were associated with 26.1% of the variance in son's self-efficacy to be abstinent. In the regression model greater son's perception of the communication of sexual standards and greater father's perception of his son's self-efficacy were significantly related to greater son's self-efficacy for abstinence. The second regression model with son's self-efficacy for safer sex as the criterion was not statistically significant. Data support the need for fathers to express confidence in their sons' ability to be abstinent or practice safer sex and to communicate with their sons regarding sexual issues and standards.

Self-Efficacy as a Predictor of Self-Reported Physical, Cognitive and Social Functioning in Multiple Sclerosis

PubMed Central

Schmitt, Margaret M.; Goverover, Yael; DeLuca, John; Chiaravalloti, Nancy

2014-01-01

Objective Investigate whether self-efficacy is associated with physical, cognitive and social functioning in individuals with Multiple Sclerosis (MS) when controlling for disease-related characteristics and depressive symptomatology. Participants 81 individuals between the ages of 29 and 67 with a diagnosis of clinically definite MS. Method Hierarchical regression analysis was employed to examine the relationships between self-efficacy and self-reported physical, cognitive, and social functioning. Results Self-efficacy is a significant predictor of self-reported physical, cognitive and social functioning in MS after controlling for variance due to disease related factors and depressive symptomatology. Conclusions Self-efficacy plays a significant role in individual adjustment to MS across multiple areas of functional outcome, beyond that which is accounted for by disease related variables and symptoms of depression. PMID:24320946

Scale of association: hierarchical linear models and the measurement of ecological systems

Treesearch

Sean M. McMahon; Jeffrey M. Diez

2007-01-01

A fundamental challenge to understanding patterns in ecological systems lies in employing methods that can analyse, test and draw inference from measured associations between variables across scales. Hierarchical linear models (HLM) use advanced estimation algorithms to measure regression relationships and variance-covariance parameters in hierarchically structured...

Oxytocin Receptor (OXTR) Methylation and Cognition in Psychotic Disorders.

PubMed

Grove, Tyler B; Burghardt, Kyle J; Kraal, A Zarina; Dougherty, Ryan J; Taylor, Stephan F; Ellingrod, Vicki L

2016-10-01

Previous reports have identified an association between cognitive impairment and genetic variation in psychotic disorders. In particular, this association may be related to abnormal regulation of genes responsible for broad cognitive functions such as the oxytocin receptor (OXTR) . Within psychotic disorders, it is unknown if OXTR methylation, which can have important implications for gene regulation, is related to cognitive function. The current study examined peripheral blood OXTR methylation and general cognition in people with schizophrenia, schizoaffective disorder, and psychotic disorder not otherwise specified (N = 101). Using hierarchical multiple regression analysis, methylation at the Chr3:8767638 site was significantly associated with composite cognitive performance independent of demographic and medication factors while controlling for multiple testing in this combined diagnostic sample (adjusted p = 0.023).

Oxytocin Receptor (OXTR) Methylation and Cognition in Psychotic Disorders

PubMed Central

Grove, Tyler B.; Burghardt, Kyle J.; Kraal, A. Zarina; Dougherty, Ryan J.; Taylor, Stephan F.; Ellingrod, Vicki L.

2016-01-01

Previous reports have identified an association between cognitive impairment and genetic variation in psychotic disorders. In particular, this association may be related to abnormal regulation of genes responsible for broad cognitive functions such as the oxytocin receptor (OXTR). Within psychotic disorders, it is unknown if OXTR methylation, which can have important implications for gene regulation, is related to cognitive function. The current study examined peripheral blood OXTR methylation and general cognition in people with schizophrenia, schizoaffective disorder, and psychotic disorder not otherwise specified (N = 101). Using hierarchical multiple regression analysis, methylation at the Chr3:8767638 site was significantly associated with composite cognitive performance independent of demographic and medication factors while controlling for multiple testing in this combined diagnostic sample (adjusted p = 0.023). PMID:27867940

Predictive Ability of Pender's Health Promotion Model for Physical Activity and Exercise in People with Spinal Cord Injuries: A Hierarchical Regression Analysis

ERIC Educational Resources Information Center

Keegan, John P.; Chan, Fong; Ditchman, Nicole; Chiu, Chung-Yi

2012-01-01

The main objective of this study was to validate Pender's Health Promotion Model (HPM) as a motivational model for exercise/physical activity self-management for people with spinal cord injuries (SCIs). Quantitative descriptive research design using hierarchical regression analysis (HRA) was used. A total of 126 individuals with SCI were recruited…

Effects of Military/Family Conflict on Female Naval Officer Retention

DTIC Science & Technology

2004-06-01

has the greatest impact on retention . Hierarchical regression was used to identify life domains (e.g., family factors, job experiences, job ...where work/family conflict has the greatest impact on retention . Hierarchical regression was used to identify life domains (e.g., family factors, job ...experiences, job satisfaction, and commitment) that are key drivers of retention intent among female Naval officers. By identifying areas that are

[Factors Influencing Quality of Life of Alcoholics Anonymous Members in Korea].

PubMed

Yoo, Jae Soon; Lee, Jongeun; Park, Woo Young

2016-04-01

The purpose of this study was to determine quality of life (QOL) related factors in Alcoholics Anonymous (AA) members based on PRECEDE Model. A cross sectional survey was conducted with participants (N =203) from AA meeting in 11 alcohol counsel centers all over South Korea. Data were collected using a specially designed questionnaire based on the PRECEDE model and including QOL, epidemiological factors (including depression and perceived health status), behavioral factors (continuous abstinence and physical health status and practice), predisposing factors (abstinence self-efficacy and self-esteem), reinforcing factors (social capital and family functioning), and enabling factors. Data were analyzed using t-test, one way ANOVA, Tukey HSD test and hierarchical multiple regression analysis with SPSS (ver. 21.0). Of the educational diagnostic variables, self-esteem (β=.23), family functioning (β=.12), abstinence self-efficacy (β=.12) and social capital (β=.11) were strong influential factors in AA members' QOL. In addition, epidemiological diagnostic variables such as depression (β=-.44) and perceived health status (β=.35) were the main factors in QOL. Also, physical health status and practice (β=.106), one of behavioral diagnostic variables was a beneficial factor in QOL. Hierarchical multiple regression analysis showed the determinant variables accounted for 44.0% of the variation in QOL (F=25.76, p<.001). The finding of the study can be used as a framework for planning interventions in order to promote the quality of life of AA members. It is necessary to develop nursing intervention strategies for strengthening educational and epidemiological diagnostic variables in order to improve AA members' QOL.

The Relationship Between Reported Sleep Quality and Sleep Hygiene in Italian and American Adolescents

PubMed Central

LeBourgeois, Monique K.; Giannotti, Flavia; Cortesi, Flavia; Wolfson, Amy R.; Harsh, John

2014-01-01

Objective The purpose of the study was to examine the relationship between self-reported sleep quality and sleep hygiene in Italian and American adolescents and to assess whether sleep-hygiene practices mediate the relationship between culture and sleep quality. Methods Two nonprobability samples were collected from public schools in Rome, Italy, and Hattiesburg, Mississippi. Students completed the following self-report measures: Adolescent Sleep-Wake Scale, Adolescent Sleep Hygiene Scale, Pubertal Developmental Scale, and Morningness/Eveningness Scale. Results The final sample included 776 Italian and 572 American adolescents 12 to 17 years old. Italian adolescents reported much better sleep hygiene and substantially better sleep quality than American adolescents. A moderate-to-strong linear relationship was found between sleep hygiene and sleep quality in both samples. Separate hierarchical multiple regression analyses were performed on both samples. Demographic and individual characteristics explained a significant proportion of the variance in sleep quality (Italians: 18%; Americans: 25%), and the addition of sleep-hygiene domains explained significantly more variance in sleep quality (Italians: 17%; Americans: 16%). A final hierarchical multiple regression analysis with both samples combined showed that culture (Italy versus United States) only explained 0.8% of the variance in sleep quality after controlling for sleep hygiene and all other variables. Conclusions Cross-cultural differences in sleep quality, for the most part, were due to differences in sleep-hygiene practices. Sleep hygiene is an important predictor of sleep quality in Italian and American adolescents, thus supporting the implementation and evaluation of educational programs on good sleep-hygiene practices. PMID:15866860

Attitudes Toward Obese Persons and Weight Locus of Control in Chinese Nurses: A Cross-sectional Survey.

PubMed

Wang, Yan; Ding, Ye; Song, Daoping; Zhu, Daqiao; Wang, Jianrong

2016-01-01

Obese individuals frequently experience weight-related bias or discrimination-even in healthcare settings. Although obesity bias has been associated with several demographic factors, little is known about the association of weight locus of control with bias against overweight persons or about weight bias among Chinese health professionals. The aim of the study was to examine attitudes toward obese patients in a sample of Chinese registered nurses (RNs) and the relationship between weight bias and nurses' weight locus of control. RNs working in nine community health service centers across Shanghai, China, answered three self-report questionnaires: The Attitudes Toward Obese Persons Scale (ATOP), the External Weight Locus of Control Subscale (eWLOC) from the Dieting Belief Scale, and a sociodemographic profile. Hierarchical, stepwise, multiple regression was used to predict ATOP scores. From among 385 invited, a total of 297 RNs took part in the study (77.1% response rate). Participants scored an average of 71.04 on the ATOP, indicating slightly positive attitudes toward obese persons, and 30.08 on the eWLOC, indicating a belief in the uncontrollability of body weight. Using hierarchical, stepwise, multiple regression, two predictors of ATOP scores were statistically significant (eWLOC scores and status as a specialist rather than generalist nurse), but explained variance was low. Chinese RNs seemed to have relatively neutral or even slightly positive attitudes toward obese persons. Those nurses who believed that obesity was beyond the individual's control or worked in specialties were more likely to have positive attitudes toward obese people. Improved understanding of the comprehensive etiology of obesity is needed.

Spatial patterns of air pollutants and social groups: a distributive environmental justice study in the phoenix metropolitan region of USA

NASA Astrophysics Data System (ADS)

Pope, Ronald; Wu, Jianguo; Boone, Christopher

2016-11-01

Quantifying spatial distribution patterns of air pollutants is imperative to understand environmental justice issues. Here we present a landscape-based hierarchical approach in which air pollution variables are regressed against population demographics on multiple spatiotemporal scales. Using this approach, we investigated the potential problem of distributive environmental justice in the Phoenix metropolitan region, focusing on ambient ozone and particulate matter. Pollution surfaces (maps) are evaluated against the demographics of class, age, race (African American, Native American), and ethnicity (Hispanic). A hierarchical multiple regression method is used to detect distributive environmental justice relationships. Our results show that significant relationships exist between the dependent and independent variables, signifying possible environmental inequity. Although changing spatiotemporal scales only altered the overall direction of these relationships in a few instances, it did cause the relationship to become nonsignificant in many cases. Several consistent patterns emerged: people aged 17 and under were significant predictors for ambient ozone and particulate matter, but people 65 and older were only predictors for ambient particulate matter. African Americans were strong predictors for ambient particulate matter, while Native Americans were strong predictors for ambient ozone. Hispanics had a strong negative correlation with ambient ozone, but a less consistent positive relationship with ambient particulate matter. Given the legacy conditions endured by minority racial and ethnic groups, and the relative lack of mobility of all the groups, our findings suggest the existence of environmental inequities in the Phoenix metropolitan region. The methodology developed in this study is generalizable with other pollutants to provide a multi-scaled perspective of environmental justice issues.

Comparison of four methods for deriving hospital standardised mortality ratios from a single hierarchical logistic regression model.

PubMed

Mohammed, Mohammed A; Manktelow, Bradley N; Hofer, Timothy P

2016-04-01

There is interest in deriving case-mix adjusted standardised mortality ratios so that comparisons between healthcare providers, such as hospitals, can be undertaken in the controversial belief that variability in standardised mortality ratios reflects quality of care. Typically standardised mortality ratios are derived using a fixed effects logistic regression model, without a hospital term in the model. This fails to account for the hierarchical structure of the data - patients nested within hospitals - and so a hierarchical logistic regression model is more appropriate. However, four methods have been advocated for deriving standardised mortality ratios from a hierarchical logistic regression model, but their agreement is not known and neither do we know which is to be preferred. We found significant differences between the four types of standardised mortality ratios because they reflect a range of underlying conceptual issues. The most subtle issue is the distinction between asking how an average patient fares in different hospitals versus how patients at a given hospital fare at an average hospital. Since the answers to these questions are not the same and since the choice between these two approaches is not obvious, the extent to which profiling hospitals on mortality can be undertaken safely and reliably, without resolving these methodological issues, remains questionable. © The Author(s) 2012.

Positive predictors of quality of life for postpartum mothers with a history of childhood maltreatment.

PubMed

Irwin, Jessica L; Beeghly, Marjorie; Rosenblum, Katherine L; Muzik, Maria

2016-12-01

The postpartum period brings a host of biopsychosocial, familial, and economic changes, which may be challenging for new mothers, especially those with trauma histories. Trauma-exposed women are at heightened risk for psychiatric symptomatology and reduced quality of life. The current study sought to evaluate whether a set of hypothesized promotive factors assessed during the first 18 months postpartum (positive parenting, family cohesion, and maternal resilience) are associated with life satisfaction in this population, after controlling for income and postpartum psychiatric symptoms. Analyses were based on data collected for 266 mother-infant dyads from a longitudinal cohort study, Maternal Anxiety during the Childbearing Years (MACY), of women oversampled for childhood maltreatment history. Hierarchical linear regression was used to evaluate the study hypotheses. Consistent with prior work, greater postpartum psychiatric symptoms and less income predicted poor perceptions of life quality. In hierarchical regressions controlling for income and psychiatric symptoms, positive parenting and family cohesion predicted unique variance in mothers' positive perceptions of life quality, and resilience was predictive beyond all other factors. Factors from multiple levels of analysis (maternal, dyadic, and familial) may serve as promotive factors predicting positive perceptions of life quality among women with childhood trauma histories, even those struggling with high levels of psychiatric or economic distress.

Physical Activity and Depressive Symptoms in Four Ethnic Groups of Midlife Women

PubMed Central

Im, Eun-Ok; Ham, Ok Kyung; Chee, Eunice; Chee, Wonshik

2014-01-01

The purpose of this study was to determine the associations between physical activity and depression and the multiple contextual factors influencing these associations in four major ethnic-groups of midlife women in the U.S. This was a secondary analysis of the data from 542 midlife women. The instruments included questions on background characteristics and health and menopausal status; the Depression Index for Midlife Women; and the Kaiser Physical Activity Survey. The data were analyzed using chi-square tests, the ANOVA, twoway ANOVA, correlation analyses, and hierarchical multiple regression analyses. The women's depressive symptoms were negatively correlated with active living and sports/exercise physical activities whereas they were positively correlated with occupational physical activities (p < .01). Family income was the strongest predictor of their depressive symptoms. Increasing physical activity may improve midlife women's depressive symptoms, but the types of physical activity and multiple contextual factors need to be considered in intervention development. PMID:24879749

Hierarchical screening for multiple mental disorders.

PubMed

Batterham, Philip J; Calear, Alison L; Sunderland, Matthew; Carragher, Natacha; Christensen, Helen; Mackinnon, Andrew J

2013-10-01

There is a need for brief, accurate screening when assessing multiple mental disorders. Two-stage hierarchical screening, consisting of brief pre-screening followed by a battery of disorder-specific scales for those who meet diagnostic criteria, may increase the efficiency of screening without sacrificing precision. This study tested whether more efficient screening could be gained using two-stage hierarchical screening than by administering multiple separate tests. Two Australian adult samples (N=1990) with high rates of psychopathology were recruited using Facebook advertising to examine four methods of hierarchical screening for four mental disorders: major depressive disorder, generalised anxiety disorder, panic disorder and social phobia. Using K6 scores to determine whether full screening was required did not increase screening efficiency. However, pre-screening based on two decision tree approaches or item gating led to considerable reductions in the mean number of items presented per disorder screened, with estimated item reductions of up to 54%. The sensitivity of these hierarchical methods approached 100% relative to the full screening battery. Further testing of the hierarchical screening approach based on clinical criteria and in other samples is warranted. The results demonstrate that a two-phase hierarchical approach to screening multiple mental disorders leads to considerable increases efficiency gains without reducing accuracy. Screening programs should take advantage of prescreeners based on gating items or decision trees to reduce the burden on respondents. © 2013 Elsevier B.V. All rights reserved.

Unique associations between peer relations and social anxiety in early adolescence.

PubMed

Flanagan, Kelly S; Erath, Stephen A; Bierman, Karen L

2008-10-01

This study examined the unique associations between feelings of social anxiety and multiple dimensions of peer relations (positive peer nominations, peer- and self-reported peer victimization, and self-reported friendship quality) among 383 sixth- and seventh-grade students. Hierarchical regression analysis provided evidence for the unique contribution made by peer relations to social anxiety above that made by adolescents' individual vulnerabilities (i.e., teacher ratings of social behavior, self-reported social appraisals assessed by hypothetical vignettes). Two subgroups of socially anxious adolescents--those with and without peer problems--were distinguished by their social behavior but not their social appraisals.

The Normative Environment for Drug Use: Comparisons among American Indian and White Adolescents

PubMed Central

Dieterich, Sara E.; Swaim, Randall C.; Beauvais, Fred

2013-01-01

The present study examined the influence of descriptive norms, injunctive norms, perceived outcome expectancies, and ethnicity on marijuana and inhalant use among 2334 American Indian and white high school students who lived on or near reservations in the United States. Hierarchical multiple regression analyses were conducted with survey data collected during the 2009-2010 and 2010-2011 school years. Results suggest differences between ethnicities in the influence of the normative environment and outcome expectancies on both marijuana and inhalant use. Study limitations are noted, and future research is suggested. PMID:23768429

Hierarchical Bayesian modelling of mobility metrics for hazard model input calibration

NASA Astrophysics Data System (ADS)

Calder, Eliza; Ogburn, Sarah; Spiller, Elaine; Rutarindwa, Regis; Berger, Jim

2015-04-01

In this work we present a method to constrain flow mobility input parameters for pyroclastic flow models using hierarchical Bayes modeling of standard mobility metrics such as H/L and flow volume etc. The advantage of hierarchical modeling is that it can leverage the information in global dataset for a particular mobility metric in order to reduce the uncertainty in modeling of an individual volcano, especially important where individual volcanoes have only sparse datasets. We use compiled pyroclastic flow runout data from Colima, Merapi, Soufriere Hills, Unzen and Semeru volcanoes, presented in an open-source database FlowDat (https://vhub.org/groups/massflowdatabase). While the exact relationship between flow volume and friction varies somewhat between volcanoes, dome collapse flows originating from the same volcano exhibit similar mobility relationships. Instead of fitting separate regression models for each volcano dataset, we use a variation of the hierarchical linear model (Kass and Steffey, 1989). The model presents a hierarchical structure with two levels; all dome collapse flows and dome collapse flows at specific volcanoes. The hierarchical model allows us to assume that the flows at specific volcanoes share a common distribution of regression slopes, then solves for that distribution. We present comparisons of the 95% confidence intervals on the individual regression lines for the data set from each volcano as well as those obtained from the hierarchical model. The results clearly demonstrate the advantage of considering global datasets using this technique. The technique developed is demonstrated here for mobility metrics, but can be applied to many other global datasets of volcanic parameters. In particular, such methods can provide a means to better contain parameters for volcanoes for which we only have sparse data, a ubiquitous problem in volcanology.

Predicting allergic contact dermatitis: a hierarchical structure activity relationship (SAR) approach to chemical classification using topological and quantum chemical descriptors

NASA Astrophysics Data System (ADS)

Basak, Subhash C.; Mills, Denise; Hawkins, Douglas M.

2008-06-01

A hierarchical classification study was carried out based on a set of 70 chemicals—35 which produce allergic contact dermatitis (ACD) and 35 which do not. This approach was implemented using a regular ridge regression computer code, followed by conversion of regression output to binary data values. The hierarchical descriptor classes used in the modeling include topostructural (TS), topochemical (TC), and quantum chemical (QC), all of which are based solely on chemical structure. The concordance, sensitivity, and specificity are reported. The model based on the TC descriptors was found to be the best, while the TS model was extremely poor.

Human performance under two different command and control paradigms.

PubMed

Walker, Guy H; Stanton, Neville A; Salmon, Paul M; Jenkins, Daniel P

2014-05-01

The paradoxical behaviour of a new command and control concept called Network Enabled Capability (NEC) provides the motivation for this paper. In it, a traditional hierarchical command and control organisation was pitted against a network centric alternative on a common task, played thirty times, by two teams. Multiple regression was used to undertake a simple form of time series analysis. It revealed that whilst the NEC condition ended up being slightly slower than its hierarchical counterpart, it was able to balance and optimise all three of the performance variables measured (task time, enemies neutralised and attrition). From this it is argued that a useful conceptual response is not to consider NEC as an end product comprised of networked computers and standard operating procedures, nor to regard the human system interaction as inherently stable, but rather to view it as a set of initial conditions from which the most adaptable component of all can be harnessed: the human. Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Bayesian multivariate hierarchical transformation models for ROC analysis.

PubMed

O'Malley, A James; Zou, Kelly H

2006-02-15

A Bayesian multivariate hierarchical transformation model (BMHTM) is developed for receiver operating characteristic (ROC) curve analysis based on clustered continuous diagnostic outcome data with covariates. Two special features of this model are that it incorporates non-linear monotone transformations of the outcomes and that multiple correlated outcomes may be analysed. The mean, variance, and transformation components are all modelled parametrically, enabling a wide range of inferences. The general framework is illustrated by focusing on two problems: (1) analysis of the diagnostic accuracy of a covariate-dependent univariate test outcome requiring a Box-Cox transformation within each cluster to map the test outcomes to a common family of distributions; (2) development of an optimal composite diagnostic test using multivariate clustered outcome data. In the second problem, the composite test is estimated using discriminant function analysis and compared to the test derived from logistic regression analysis where the gold standard is a binary outcome. The proposed methodology is illustrated on prostate cancer biopsy data from a multi-centre clinical trial.

Bayesian multivariate hierarchical transformation models for ROC analysis

PubMed Central

O'Malley, A. James; Zou, Kelly H.

2006-01-01

SUMMARY A Bayesian multivariate hierarchical transformation model (BMHTM) is developed for receiver operating characteristic (ROC) curve analysis based on clustered continuous diagnostic outcome data with covariates. Two special features of this model are that it incorporates non-linear monotone transformations of the outcomes and that multiple correlated outcomes may be analysed. The mean, variance, and transformation components are all modelled parametrically, enabling a wide range of inferences. The general framework is illustrated by focusing on two problems: (1) analysis of the diagnostic accuracy of a covariate-dependent univariate test outcome requiring a Box–Cox transformation within each cluster to map the test outcomes to a common family of distributions; (2) development of an optimal composite diagnostic test using multivariate clustered outcome data. In the second problem, the composite test is estimated using discriminant function analysis and compared to the test derived from logistic regression analysis where the gold standard is a binary outcome. The proposed methodology is illustrated on prostate cancer biopsy data from a multi-centre clinical trial. PMID:16217836

Should metacognition be measured by logistic regression?

PubMed

Rausch, Manuel; Zehetleitner, Michael

2017-03-01

Are logistic regression slopes suitable to quantify metacognitive sensitivity, i.e. the efficiency with which subjective reports differentiate between correct and incorrect task responses? We analytically show that logistic regression slopes are independent from rating criteria in one specific model of metacognition, which assumes (i) that rating decisions are based on sensory evidence generated independently of the sensory evidence used for primary task responses and (ii) that the distributions of evidence are logistic. Given a hierarchical model of metacognition, logistic regression slopes depend on rating criteria. According to all considered models, regression slopes depend on the primary task criterion. A reanalysis of previous data revealed that massive numbers of trials are required to distinguish between hierarchical and independent models with tolerable accuracy. It is argued that researchers who wish to use logistic regression as measure of metacognitive sensitivity need to control the primary task criterion and rating criteria. Copyright © 2017 Elsevier Inc. All rights reserved.

A CNN Regression Approach for Real-Time 2D/3D Registration.

PubMed

Shun Miao; Wang, Z Jane; Rui Liao

2016-05-01

In this paper, we present a Convolutional Neural Network (CNN) regression approach to address the two major limitations of existing intensity-based 2-D/3-D registration technology: 1) slow computation and 2) small capture range. Different from optimization-based methods, which iteratively optimize the transformation parameters over a scalar-valued metric function representing the quality of the registration, the proposed method exploits the information embedded in the appearances of the digitally reconstructed radiograph and X-ray images, and employs CNN regressors to directly estimate the transformation parameters. An automatic feature extraction step is introduced to calculate 3-D pose-indexed features that are sensitive to the variables to be regressed while robust to other factors. The CNN regressors are then trained for local zones and applied in a hierarchical manner to break down the complex regression task into multiple simpler sub-tasks that can be learned separately. Weight sharing is furthermore employed in the CNN regression model to reduce the memory footprint. The proposed approach has been quantitatively evaluated on 3 potential clinical applications, demonstrating its significant advantage in providing highly accurate real-time 2-D/3-D registration with a significantly enlarged capture range when compared to intensity-based methods.

The influence of daily stress and resilience on successful ageing.

PubMed

Byun, J; Jung, D

2016-09-01

The aim of this study was to identify the effects of daily stress and resilience on successful ageing among community-dwelling older adults. Ageing can be a positive experience if there is good adaptation to ageing processes. Positive ageing needs to be a basis of nursing care, health promotion and education within community settings. Data were collected in March and April of 2014 from 262 older adults living in Seoul and Jeju, South Korea. We used a four-part survey consisting of demographic data, daily stress, resilience and successful ageing scales, in total 91 items. Data were analysed using descriptive statistics, t-test, one-way ANOVA, Tukey HSD test, Pearson's correlation coefficient and hierarchical multiple regression analysis to identify the influence of variables on successful ageing. Successful ageing had a significant negative correlation with daily stress and a positive correlation with resilience. Daily stress had a negative correlation with resilience. Findings of hierarchical multiple regression analysis indicated that resilience and subjective economic status had an effect on successful ageing. Furthermore, these variables accounted for 41.6% of the variance in successful ageing. Data were collected in only two cities of Korea based on convenience sampling. The findings of the study suggest that daily stress and resilience have a statistically significant relationship with successful ageing. Furthermore, resilience is an important influential factor and a much-needed personal characteristic for one's successful ageing. Nurses can advocate joining with health and social policy makers to implement policies on healthy ageing, including evaluation of stress, education programmes and implementation of self-help groups to enhance resilience in older people. © 2016 International Council of Nurses.

Determinants of health-related quality of life in international graduate students.

PubMed

Ogunsanya, Motolani E; Bamgbade, Benita A; Thach, Andrew V; Sudhapalli, Poojee; Rascati, Karen L

2018-04-01

International graduate students often experience additional levels of stress due to acculturation. Given the impact of stress on health outcomes (both physical and mental), this study examined the health-related quality of life (HRQoL) in international graduate students to determine its association with acculturative stress, perceived stress, and use of coping mechanisms. A cross-sectional, self-administered survey was designed and sent to 38 student chapters within the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) student network. HRQoL [physical component summary (PCS) and mental component summary (MCS)] was measured using the 12-item Short Form (SF-12) while coping mechanisms were assessed using the Brief COPE Scale. Acculturative and perceived stress were assessed using the Acculturative Stress Scale for International students [ASSIS] and Graduate Stress Inventory-Revised (GSI-R), respectively. Demographic and personal information (e.g. age, religion) were also collected. Descriptive statistics (mean ± SD and frequency) and hierarchical multiple regression analysis were conducted. The average PCS and MCS were 60 ± 9 and 44 ± 13, respectively, indicating that while the physical health was above the United States (US) general population norm (50), mental health scores were lower. Findings from the hierarchical multiple regression showed that perceived and acculturative stress significantly predicted mental health. Acculturative stress was also a significant predictor of physical health. The results from this study support the hypothesis that international students in the US experience both perceived and acculturative stress that significantly impacts their HRQoL. Universities should consider providing education on stress reduction techniques to improve the health of international graduate students. Copyright © 2018 Elsevier Inc. All rights reserved.

Quality of life in multiple sclerosis (MS) and role of fatigue, depression, anxiety, and stress: A bicenter study from north of Iran.

PubMed

Salehpoor, Ghasem; Rezaei, Sajjad; Hosseininezhad, Mozaffar

2014-11-01

Although studies have demonstrated significant negative relationships between quality of life (QOL), fatigue, and the most common psychological symptoms (depression, anxiety, stress), the main ambiguity of previous studies on QOL is in the relative importance of these predictors. Also, there is lack of adequate knowledge about the actual contribution of each of them in the prediction of QOL dimensions. Thus, the main objective of this study is to assess the role of fatigue, depression, anxiety, and stress in relation to QOL of multiple sclerosis (MS) patients. One hundred and sixty-two MS patients completed the questionnaire on demographic variables, and then they were evaluated by the Persian versions of Short-Form Health Survey Questionnaire (SF-36), Fatigue Survey Scale (FSS), and Depression, Anxiety, Stress Scale-21 (DASS-21). Data were analyzed by Pearson correlation coefficient and hierarchical regression. Correlation analysis showed a significant relationship between QOL elements in SF-36 (physical component summary and mental component summary) and depression, fatigue, stress, and anxiety (P < 0.01). Hierarchical regression analysis indicated that among the predictor variables in the final step, fatigue, depression, and anxiety were identified as the physical component summary predictor variables. Anxiety was found to be the most powerful predictor variable amongst all (β = -0.46, P < 0.001). Furthermore, results have shown depression as the only significant mental component summary predictor variable (β = -0.39, P < 0.001). This study has highlighted the role of anxiety, fatigue, and depression in physical dimensions and the role of depression in psychological dimensions of the lives of MS patients. In addition, the findings of this study indirectly suggest that psychological interventions for reducing fatigue, depression, and anxiety can lead to improved QOL of MS patients.

DENTAL CARIES AND RELATED ORAL HEALTH FACTORS AMONG 9 TO 18 MONTH OLD THAI CHILDREN.

PubMed

Detsomboonrat, Palinee; Pisarnturakit, Pagaporn Pantuwadee

2015-07-01

Dental caries can occur as soon as the first tooth erupts. We studied the caries prevalence and related risk factors among children aged 9-18 months in U Thong District, Suphan Buri Province, Thailand. A total of 151 children, whose primary caregivers were willing to participate in this study, were evaluated for decayed, missing, and filled tooth surfaces (dmfs). Questionnaires were given to the primary caregivers of the study subjects to ascertain their socio-economic status, oral hygiene habits, and child-feeding habits. The Mann-Whitney U and Kruskal-Wallis tests were used to evaluate bivariate outcome data. Hierarchical multiple regression analysis was used to determine variables predictive of dental caries in the studied children. The prevalence of dental caries among the 151 subjects was 32.5%; 15.9% had at least one cavity (cavitated caries) and 16.6% had white lesions (non-cavitated caries). The mean dmfs score was 2.83 ± 6.48. Significant associations were seen between the dmfs score and the number of erupted teeth (p < 0.001) and toothpaste usage (p < 0.01). Hierarchical multiple regression analysis revealed four factors significantly associated with caries: number of erupted teeth, which had the highest Beta value (P = 0.35, p < 0.01), nighttime bottle feeding (P = 0.17, p < 0.05), frequency of drinking sweetened milk (P = 0.17-0.18, p < 0.05) and falling asleep with a bottle in the mouth (P = 0.18, p < 0.05). Nighttime bottle feeding, frequency of drinking sweetened milk and falling asleep with a bottle in the mouth were important caries risk factors and the number of erupted teeth was a strong caries risk predictor. Dentists should educate caregivers about these risk factors.

A hierarchical model for estimating change in American Woodcock populations

USGS Publications Warehouse

Sauer, J.R.; Link, W.A.; Kendall, W.L.; Kelley, J.R.; Niven, D.K.

2008-01-01

The Singing-Ground Survey (SGS) is a primary source of information on population change for American woodcock (Scolopax minor). We analyzed the SGS using a hierarchical log-linear model and compared the estimates of change and annual indices of abundance to a route regression analysis of SGS data. We also grouped SGS routes into Bird Conservation Regions (BCRs) and estimated population change and annual indices using BCRs within states and provinces as strata. Based on the hierarchical model?based estimates, we concluded that woodcock populations were declining in North America between 1968 and 2006 (trend = -0.9%/yr, 95% credible interval: -1.2, -0.5). Singing-Ground Survey results are generally similar between analytical approaches, but the hierarchical model has several important advantages over the route regression. Hierarchical models better accommodate changes in survey efficiency over time and space by treating strata, years, and observers as random effects in the context of a log-linear model, providing trend estimates that are derived directly from the annual indices. We also conducted a hierarchical model analysis of woodcock data from the Christmas Bird Count and the North American Breeding Bird Survey. All surveys showed general consistency in patterns of population change, but the SGS had the shortest credible intervals. We suggest that population management and conservation planning for woodcock involving interpretation of the SGS use estimates provided by the hierarchical model.

Selection of higher order regression models in the analysis of multi-factorial transcription data.

PubMed

Prazeres da Costa, Olivia; Hoffman, Arthur; Rey, Johannes W; Mansmann, Ulrich; Buch, Thorsten; Tresch, Achim

2014-01-01

Many studies examine gene expression data that has been obtained under the influence of multiple factors, such as genetic background, environmental conditions, or exposure to diseases. The interplay of multiple factors may lead to effect modification and confounding. Higher order linear regression models can account for these effects. We present a new methodology for linear model selection and apply it to microarray data of bone marrow-derived macrophages. This experiment investigates the influence of three variable factors: the genetic background of the mice from which the macrophages were obtained, Yersinia enterocolitica infection (two strains, and a mock control), and treatment/non-treatment with interferon-γ. We set up four different linear regression models in a hierarchical order. We introduce the eruption plot as a new practical tool for model selection complementary to global testing. It visually compares the size and significance of effect estimates between two nested models. Using this methodology we were able to select the most appropriate model by keeping only relevant factors showing additional explanatory power. Application to experimental data allowed us to qualify the interaction of factors as either neutral (no interaction), alleviating (co-occurring effects are weaker than expected from the single effects), or aggravating (stronger than expected). We find a biologically meaningful gene cluster of putative C2TA target genes that appear to be co-regulated with MHC class II genes. We introduced the eruption plot as a tool for visual model comparison to identify relevant higher order interactions in the analysis of expression data obtained under the influence of multiple factors. We conclude that model selection in higher order linear regression models should generally be performed for the analysis of multi-factorial microarray data.

Factors Related to Depressive Symptoms in Mothers of Technology-Dependent Children.

PubMed

Toly, Valerie Boebel; Musil, Carol M

2015-07-01

Mothers caring for technology-dependent children at home often suffer clinically significant and unrecognized depressive symptoms. The study aim was to determine factors related to elevated depressive symptoms and provide information to target interventions that assists mothers in self-management of their mental health. Secondary data analysis from a descriptive, correlational study of 75 mothers was performed. Hierarchical multiple regression analysis results indicate that younger, unpartnered mothers with lower normalization efforts and personal resourcefulness, and less care hours, had increased depressive symptoms. The importance of personal resourcefulness and the potential for a resourcefulness training intervention to reduce depressive symptoms are discussed.

Extension of the Job Demands-Resources model in the prediction of burnout and engagement among teachers over time.

PubMed

Lorente Prieto, Laura; Salanova Soria, Marisa; Martínez Martínez, Isabel; Schaufeli, Wilmar

2008-08-01

Our purpose was to extend the Job Demand-Resources Model (Schaufeli & Bakker, 2004) by including personal resources, job demands and job resources to predict burnout (exhaustion, cynicism, depersonalization) and work engagement (vigour and dedication). The sample comprised 274 teachers from 23 secondary schools of the Valencian Community (Spain). Hierarchical multiple regression analyses have revealed: (1) the predictor effect of quantitative overload on exhaustion and dedication at T2, (2) role conflict on cynicism and (3) role ambiguity on dedication. Lastly, the mediating role of burnout and engagement at T2. Practical implications and directions of future research are discussed.

Towards a hierarchical optimization framework for spatially targeting incentive policies to promote green infrastructure amidst multiple objectives and uncertainty

EPA Science Inventory

We introduce a hierarchical optimization framework for spatially targeting green infrastructure (GI) incentive policies in order to meet objectives related to cost and environmental effectiveness. The framework explicitly simulates the interaction between multiple levels of polic...

Bayesian Scalar-on-Image Regression with Application to Association Between Intracranial DTI and Cognitive Outcomes

PubMed Central

Huang, Lei; Goldsmith, Jeff; Reiss, Philip T.; Reich, Daniel S.; Crainiceanu, Ciprian M.

2013-01-01

Diffusion tensor imaging (DTI) measures water diffusion within white matter, allowing for in vivo quantification of brain pathways. These pathways often subserve specific functions, and impairment of those functions is often associated with imaging abnormalities. As a method for predicting clinical disability from DTI images, we propose a hierarchical Bayesian “scalar-on-image” regression procedure. Our procedure introduces a latent binary map that estimates the locations of predictive voxels and penalizes the magnitude of effect sizes in these voxels, thereby resolving the ill-posed nature of the problem. By inducing a spatial prior structure, the procedure yields a sparse association map that also maintains spatial continuity of predictive regions. The method is demonstrated on a simulation study and on a study of association between fractional anisotropy and cognitive disability in a cross-sectional sample of 135 multiple sclerosis patients. PMID:23792220

Linking family dynamics and the mental health of Colombian dementia caregivers.

PubMed

Sutter, Megan; Perrin, Paul B; Chang, Yu-Ping; Hoyos, Guillermo Ramirez; Buraye, Jaqueline Arabia; Arango-Lasprilla, Juan Carlos

2014-02-01

This cross-sectional, quantitative, self-report study examined the relationship between family dynamics (cohesion, flexibility, pathology/ functioning, communication, family satisfaction, and empathy) and mental health (depression, burden, stress, and satisfaction with life [SWL]) in 90 dementia caregivers from Colombia. Hierarchical multiple regressions controlling for caregiver demographics found that family dynamics were significantly associated with caregiver depression, stress, and SWL and marginally associated with burden. Within these regressions, empathy was uniquely associated with stress; flexibility with depression and marginally with SWL; and family communication marginally with burden and stress. Nearly all family dynamic variables were bivariately associated with caregiver mental health variables, such that caregivers had stronger mental health when their family dynamics were healthy. Family-systems interventions in global regions with high levels of familism like that in the current study may improve family empathy, flexibility, and communication, thereby producing better caregiver mental health and better informal care for people with dementia.

Personality and attention: Levels of neuroticism and extraversion can predict attentional performance during a change detection task.

PubMed

Hahn, Sowon; Buttaccio, Daniel R; Hahn, Jungwon; Lee, Taehun

2015-01-01

The present study demonstrates that levels of extraversion and neuroticism can predict attentional performance during a change detection task. After completing a change detection task built on the flicker paradigm, participants were assessed for personality traits using the Revised Eysenck Personality Questionnaire (EPQ-R). Multiple regression analyses revealed that higher levels of extraversion predict increased change detection accuracies, while higher levels of neuroticism predict decreased change detection accuracies. In addition, neurotic individuals exhibited decreased sensitivity A' and increased fixation dwell times. Hierarchical regression analyses further revealed that eye movement measures mediate the relationship between neuroticism and change detection accuracies. Based on the current results, we propose that neuroticism is associated with decreased attentional control over the visual field, presumably due to decreased attentional disengagement. Extraversion can predict increased attentional performance, but the effect is smaller than the relationship between neuroticism and attention.

The role of psychosocial and physical work-related factors on the health-related quality of life of Iranian industrial workers.

PubMed

Mokarami, Hamidreza; Stallones, Lorann; Nazifi, Morteza; Taghavi, Sayed Mohammad

2016-10-17

The role of psychosocial and physical work factors in predicting health related quality of life (HRQOL) has not been investigated among Iranian industrial workers. The present study is designed to assess these relationships among Iranian workers from steel and cosmetic factories. A cross-sectional study was conducted among 280 workers from two factories. Psychosocial and physical work factors and HRQOL were measured by the Persian translations of the following questionnaires: Job Content Questionnaire (JCQ) and the World Health Organization Quality of Life-Brief (WHOQOL-Brief). An instrument was developed to assess socio-demographic, health, and other work-related factors. The data were analyzed using independent t-tests, Pearson product moment correlation and hierarchical multiple regression. Results revealed that the respondents generally had poor HRQOLs especially in the environmental domain. The steel factory workers who were exposed to higher levels of occupational risk factors suffered from poorer HRQOL compared to the cosmetic factory workers. The results of hierarchical regression for all participants revealed that social support, sleep quality, work schedule, smoking and exercise were significant predictors of all domains of HRQOL. To improve the worker's HRQOL, intervention programs should focus on promoting social support, sleep quality, exercise and smoking habits. Moreover, reducing hazardous work environments should be considered an important intervention to promote HRQOL.

Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States

USGS Publications Warehouse

Kashuba, Roxolana; Cha, YoonKyung; Alameddine, Ibrahim; Lee, Boknam; Cuffney, Thomas F.

2010-01-01

Multilevel hierarchical modeling methodology has been developed for use in ecological data analysis. The effect of urbanization on stream macroinvertebrate communities was measured across a gradient of basins in each of nine metropolitan regions across the conterminous United States. The hierarchical nature of this dataset was harnessed in a multi-tiered model structure, predicting both invertebrate response at the basin scale and differences in invertebrate response at the region scale. Ordination site scores, total taxa richness, Ephemeroptera, Plecoptera, Trichoptera (EPT) taxa richness, and richness-weighted mean tolerance of organisms at a site were used to describe invertebrate responses. Percentage of urban land cover was used as a basin-level predictor variable. Regional mean precipitation, air temperature, and antecedent agriculture were used as region-level predictor variables. Multilevel hierarchical models were fit to both levels of data simultaneously, borrowing statistical strength from the complete dataset to reduce uncertainty in regional coefficient estimates. Additionally, whereas non-hierarchical regressions were only able to show differing relations between invertebrate responses and urban intensity separately for each region, the multilevel hierarchical regressions were able to explain and quantify those differences within a single model. In this way, this modeling approach directly establishes the importance of antecedent agricultural conditions in masking the response of invertebrates to urbanization in metropolitan regions such as Milwaukee-Green Bay, Wisconsin; Denver, Colorado; and Dallas-Fort Worth, Texas. Also, these models show that regions with high precipitation, such as Atlanta, Georgia; Birmingham, Alabama; and Portland, Oregon, start out with better regional background conditions of invertebrates prior to urbanization but experience faster negative rates of change with urbanization. Ultimately, this urbanization-invertebrate response example is used to detail the multilevel hierarchical construction methodology, showing how the result is a set of models that are both statistically more rigorous and ecologically more interpretable than simple linear regression models.

Evaluating Hierarchical Structure in Music Annotations

PubMed Central

McFee, Brian; Nieto, Oriol; Farbood, Morwaread M.; Bello, Juan Pablo

2017-01-01

Music exhibits structure at multiple scales, ranging from motifs to large-scale functional components. When inferring the structure of a piece, different listeners may attend to different temporal scales, which can result in disagreements when they describe the same piece. In the field of music informatics research (MIR), it is common to use corpora annotated with structural boundaries at different levels. By quantifying disagreements between multiple annotators, previous research has yielded several insights relevant to the study of music cognition. First, annotators tend to agree when structural boundaries are ambiguous. Second, this ambiguity seems to depend on musical features, time scale, and genre. Furthermore, it is possible to tune current annotation evaluation metrics to better align with these perceptual differences. However, previous work has not directly analyzed the effects of hierarchical structure because the existing methods for comparing structural annotations are designed for “flat” descriptions, and do not readily generalize to hierarchical annotations. In this paper, we extend and generalize previous work on the evaluation of hierarchical descriptions of musical structure. We derive an evaluation metric which can compare hierarchical annotations holistically across multiple levels. sing this metric, we investigate inter-annotator agreement on the multilevel annotations of two different music corpora, investigate the influence of acoustic properties on hierarchical annotations, and evaluate existing hierarchical segmentation algorithms against the distribution of inter-annotator agreement. PMID:28824514

Risk adjustment in the American College of Surgeons National Surgical Quality Improvement Program: a comparison of logistic versus hierarchical modeling.

PubMed

Cohen, Mark E; Dimick, Justin B; Bilimoria, Karl Y; Ko, Clifford Y; Richards, Karen; Hall, Bruce Lee

2009-12-01

Although logistic regression has commonly been used to adjust for risk differences in patient and case mix to permit quality comparisons across hospitals, hierarchical modeling has been advocated as the preferred methodology, because it accounts for clustering of patients within hospitals. It is unclear whether hierarchical models would yield important differences in quality assessments compared with logistic models when applied to American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) data. Our objective was to evaluate differences in logistic versus hierarchical modeling for identifying hospitals with outlying outcomes in the ACS-NSQIP. Data from ACS-NSQIP patients who underwent colorectal operations in 2008 at hospitals that reported at least 100 operations were used to generate logistic and hierarchical prediction models for 30-day morbidity and mortality. Differences in risk-adjusted performance (ratio of observed-to-expected events) and outlier detections from the two models were compared. Logistic and hierarchical models identified the same 25 hospitals as morbidity outliers (14 low and 11 high outliers), but the hierarchical model identified 2 additional high outliers. Both models identified the same eight hospitals as mortality outliers (five low and three high outliers). The values of observed-to-expected events ratios and p values from the two models were highly correlated. Results were similar when data were permitted from hospitals providing < 100 patients. When applied to ACS-NSQIP data, logistic and hierarchical models provided nearly identical results with respect to identification of hospitals' observed-to-expected events ratio outliers. As hierarchical models are prone to implementation problems, logistic regression will remain an accurate and efficient method for performing risk adjustment of hospital quality comparisons.

Physical activity and depressive symptoms in four ethnic groups of midlife women.

PubMed

Im, Eun-Ok; Ham, Ok Kyung; Chee, Eunice; Chee, Wonshik

2015-06-01

The purpose of this study was to determine the associations between physical activity and depression and the multiple contextual factors influencing these associations in four major ethnic groups of midlife women in the United States. This was a secondary analysis of the data from 542 midlife women. The instruments included questions on background characteristics and health and menopausal status; the Depression Index for Midlife Women (DIMW); and the Kaiser Physical Activity Survey (KPAS). The data were analyzed using chi-square tests, the ANOVA, two-way ANOVA, correlation analyses, and hierarchical multiple regression analyses. The women's depressive symptoms were negatively correlated with active living and sports/exercise physical activities whereas they were positively correlated with occupational physical activities (p < .01). Family income was the strongest predictor of their depressive symptoms. Increasing physical activity may improve midlife women's depressive symptoms, but the types of physical activity and multiple contextual factors need to be considered in intervention development. © The Author(s) 2014.

Air toxics and birth defects: a Bayesian hierarchical approach to evaluate multiple pollutants and spina bifida.

PubMed

Swartz, Michael D; Cai, Yi; Chan, Wenyaw; Symanski, Elaine; Mitchell, Laura E; Danysh, Heather E; Langlois, Peter H; Lupo, Philip J

2015-02-09

While there is evidence that maternal exposure to benzene is associated with spina bifida in offspring, to our knowledge there have been no assessments to evaluate the role of multiple hazardous air pollutants (HAPs) simultaneously on the risk of this relatively common birth defect. In the current study, we evaluated the association between maternal exposure to HAPs identified by the United States Environmental Protection Agency (U.S. EPA) and spina bifida in offspring using hierarchical Bayesian modeling that includes Stochastic Search Variable Selection (SSVS). The Texas Birth Defects Registry provided data on spina bifida cases delivered between 1999 and 2004. The control group was a random sample of unaffected live births, frequency matched to cases on year of birth. Census tract-level estimates of annual HAP levels were obtained from the U.S. EPA's 1999 Assessment System for Population Exposure Nationwide. Using the distribution among controls, exposure was categorized as high exposure (>95(th) percentile), medium exposure (5(th)-95(th) percentile), and low exposure (<5(th) percentile, reference). We used hierarchical Bayesian logistic regression models with SSVS to evaluate the association between HAPs and spina bifida by computing an odds ratio (OR) for each HAP using the posterior mean, and a 95% credible interval (CI) using the 2.5(th) and 97.5(th) quantiles of the posterior samples. Based on previous assessments, any pollutant with a Bayes factor greater than 1 was selected for inclusion in a final model. Twenty-five HAPs were selected in the final analysis to represent "bins" of highly correlated HAPs (ρ > 0.80). We identified two out of 25 HAPs with a Bayes factor greater than 1: quinoline (ORhigh = 2.06, 95% CI: 1.11-3.87, Bayes factor = 1.01) and trichloroethylene (ORmedium = 2.00, 95% CI: 1.14-3.61, Bayes factor = 3.79). Overall there is evidence that quinoline and trichloroethylene may be significant contributors to the risk of spina bifida. Additionally, the use of Bayesian hierarchical models with SSVS is an alternative approach in the evaluation of multiple environmental pollutants on disease risk. This approach can be easily extended to environmental exposures, where novel approaches are needed in the context of multi-pollutant modeling.

Correlates of motivation to change in pathological gamblers completing cognitive-behavioral group therapy.

PubMed

Gómez-Peña, Mónica; Penelo, Eva; Granero, Roser; Fernández-Aranda, Fernando; Alvarez-Moya, Eva; Santamaría, Juan José; Moragas, Laura; Neus Aymamí, Maria; Gunnard, Katarina; Menchón, José M; Jimenez-Murcia, Susana

2012-07-01

The present study analyzes the association between the motivation to change and the cognitive-behavioral group intervention, in terms of dropouts and relapses, in a sample of male pathological gamblers. The specific objectives were as follows: (a) to estimate the predictive value of baseline University of Rhode Island Change Assessment scale (URICA) scores (i.e., at the start of the study) as regards the risk of relapse and dropout during treatment and (b) to assess the incremental predictive ability of URICA scores, as regards the mean change produced in the clinical status of patients between the start and finish of treatment. The relationship between the URICA and the response to treatment was analyzed by means of a pre-post design applied to a sample of 191 patients who were consecutively receiving cognitive-behavioral group therapy. The statistical analysis included logistic regression models and hierarchical multiple linear regression models. The discriminative ability of the models including the four URICA scores regarding the likelihood of relapse and dropout was acceptable (area under the receiver operating haracteristic curve: .73 and .71, respectively). No significant predictive ability was found as regards the differences between baseline and posttreatment scores (changes in R(2) below 5% in the multiple regression models). The availability of useful measures of motivation to change would enable treatment outcomes to be optimized through the application of specific therapeutic interventions. © 2012 Wiley Periodicals, Inc.

The relationship among self-efficacy, perfectionism and academic burnout in medical school students.

PubMed

Yu, Ji Hye; Chae, Su Jin; Chang, Ki Hong

2016-03-01

The purpose of this study was to examine the relationship among academic self-efficacy, socially-prescribed perfectionism, and academic burnout in medical school students and to determine whether academic self-efficacy had a mediating role in the relationship between perfectionism and academic burnout. A total of 244 first-year and second-year premed medical students and first- to fourth-year medical students were enrolled in this study. As study tools, socially-prescribed perfectionism, academic self-efficacy, and academic burnout scales were utilized. For data analysis, correlation analysis, multiple regression analysis, and hierarchical multiple regression analyses were conducted. Academic burnout had correlation with socially-prescribed perfectionism. It had negative correlation with academic self-efficacy. Socially-prescribed perfectionism and academic self-efficacy had 54% explanatory power for academic burnout. When socially-prescribed perfectionism and academic self-efficacy were simultaneously used as input, academic self-efficacy partially mediated the relationship between socially-prescribed perfectionism and academic burnout. Socially-prescribed perfectionism had a negative effect on academic self-efficacy, ultimately triggering academic burnout. This suggests that it is important to have educational and counseling interventions to improve academic self-efficacy by relieving academic burnout of medical school students.

The relationship among self-efficacy, perfectionism and academic burnout in medical school students

PubMed Central

Yu, Ji Hye; Chae, Su Jin; Chang, Ki Hong

2016-01-01

Purpose: The purpose of this study was to examine the relationship among academic self-efficacy, socially-prescribed perfectionism, and academic burnout in medical school students and to determine whether academic self-efficacy had a mediating role in the relationship between perfectionism and academic burnout. Methods: A total of 244 first-year and second-year premed medical students and first- to fourth-year medical students were enrolled in this study. As study tools, socially-prescribed perfectionism, academic self-efficacy, and academic burnout scales were utilized. For data analysis, correlation analysis, multiple regression analysis, and hierarchical multiple regression analyses were conducted. Results: Academic burnout had correlation with socially-prescribed perfectionism. It had negative correlation with academic self-efficacy. Socially-prescribed perfectionism and academic self-efficacy had 54% explanatory power for academic burnout. When socially-prescribed perfectionism and academic self-efficacy were simultaneously used as input, academic self-efficacy partially mediated the relationship between socially-prescribed perfectionism and academic burnout. Conclusion: Socially-prescribed perfectionism had a negative effect on academic self-efficacy, ultimately triggering academic burnout. This suggests that it is important to have educational and counseling interventions to improve academic self-efficacy by relieving academic burnout of medical school students. PMID:26838568

The Effects of Conditional Discrimination Instruction and Verbal Behavior on the Establishment of Hierarchical Responding

ERIC Educational Resources Information Center

Barnes, Clarissa S.

2013-01-01

This investigation evaluated the use of conditional discrimination (CD) instruction and multiple exemplar instruction (MEI) to establish derived relational responding in accordance with hierarchical frames with school aged children. The first experiment used a multiple probe design to evaluate the effectiveness of MEI to teach participants to…

Toward Scalable Fabrication of Hierarchical Silica Capsules with Integrated Micro-, Meso-, and Macropores.

PubMed

Zhou, Weizheng; Tong, Gangsheng; Wang, Dali; Zhu, Bangshang; Ren, Yu; Butler, Michael; Pelan, Eddie; Yan, Deyue; Zhu, Xinyuan; Stoyanov, Simeon D

2016-04-06

Hierarchical porous structures are ubiquitous in biological organisms and inorganic systems. Although such structures have been replicated, designed, and fabricated, they are often inferior to naturally occurring analogues. Apart from the complexity and multiple functionalities developed by the biological systems, the controllable and scalable production of hierarchically porous structures and building blocks remains a technological challenge. Herein, a facile and scalable approach is developed to fabricate hierarchical hollow spheres with integrated micro-, meso-, and macropores ranging from 1 nm to 100 μm (spanning five orders of magnitude). (Macro)molecules, micro-rods (which play a key role for the creation of robust capsules), and emulsion droplets have been successfully employed as multiple length scale templates, allowing the creation of hierarchical porous macrospheres. Thanks to their specific mechanical strength, these hierarchical porous spheres could be incorporated and assembled as higher level building blocks in various novel materials. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Psychological factors influence the gastroesophageal reflux disease (GERD) and their effect on quality of life among firefighters in South Korea.

PubMed

Jang, Seung-Ho; Ryu, Han-Seung; Choi, Suck-Chei; Lee, Sang-Yeol

2016-10-01

The purpose of this study was to examine psychosocial factors related to gastroesophageal reflux disease (GERD) and their effects on quality of life (QOL) in firefighters. Data were collected from 1217 firefighters in a Korean province. We measured psychological symptoms using the scale. In order to observe the influence of the high-risk group on occupational stress, we conduct logistic multiple linear regression. The correlation between psychological factors and QOL was also analyzed and performed a hierarchical regression analysis. GERD was observed in 32.2% of subjects. Subjects with GERD showed higher depressive symptom, anxiety and occupational stress scores, and lower self-esteem and QOL scores relative to those observed in GERD - negative subject. GERD risk was higher for the following occupational stress subcategories: job demand, lack of reward, interpersonal conflict, and occupational climate. The stepwise regression analysis showed that depressive symptoms, occupational stress, self-esteem, and anxiety were the best predictors of QOL. The results suggest that psychological and medical approaches should be combined in GERD assessment.

Psychological factors influence the gastroesophageal reflux disease (GERD) and their effect on quality of life among firefighters in South Korea

PubMed Central

Jang, Seung-Ho; Ryu, Han-Seung; Choi, Suck-Chei; Lee, Sang-Yeol

2016-01-01

Objectives The purpose of this study was to examine psychosocial factors related to gastroesophageal reflux disease (GERD) and their effects on quality of life (QOL) in firefighters. Methods Data were collected from 1217 firefighters in a Korean province. We measured psychological symptoms using the scale. In order to observe the influence of the high-risk group on occupational stress, we conduct logistic multiple linear regression. The correlation between psychological factors and QOL was also analyzed and performed a hierarchical regression analysis. Results GERD was observed in 32.2% of subjects. Subjects with GERD showed higher depressive symptom, anxiety and occupational stress scores, and lower self-esteem and QOL scores relative to those observed in GERD – negative subject. GERD risk was higher for the following occupational stress subcategories: job demand, lack of reward, interpersonal conflict, and occupational climate. The stepwise regression analysis showed that depressive symptoms, occupational stress, self-esteem, and anxiety were the best predictors of QOL. Conclusions The results suggest that psychological and medical approaches should be combined in GERD assessment. PMID:27691373

Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients.

PubMed

Dagliati, Arianna; Malovini, Alberto; Decata, Pasquale; Cogni, Giulia; Teliti, Marsida; Sacchi, Lucia; Cerra, Carlo; Chiovato, Luca; Bellazzi, Riccardo

2016-01-01

In this work we present our efforts in building a model able to forecast patients' changes in clinical conditions when repeated measurements are available. In this case the available risk calculators are typically not applicable. We propose a Hierarchical Bayesian Logistic Regression model, which allows taking into account individual and population variability in model parameters estimate. The model is used to predict metabolic control and its variation in type 2 diabetes mellitus. In particular we have analyzed a population of more than 1000 Italian type 2 diabetic patients, collected within the European project Mosaic. The results obtained in terms of Matthews Correlation Coefficient are significantly better than the ones gathered with standard logistic regression model, based on data pooling.

Measuring Nurse Educators' Willingness to Adopt Inclusive Teaching Strategies.

PubMed

Levey, Janet A

The purpose of the study was to examine the characteristics and relationships of nurse educators' teaching practices, knowledge, support, and willingness to adopt inclusive teaching strategies (WillAdITS). Adopting more inclusive teaching strategies based on universal design for instruction is an innovative way for educators to reach today's diverse student body. However, the pedagogy has not diffused into nursing education. Descriptive statistics and hierarchical multiple regression were used for analyzing data from 311 nurse educators in prelicensure and RN to BSN programs. The model explained 44.8 percent of the variance in WillAdITS. The best indicators for this pedagogy were knowledge of universal design for instruction, social system support for inclusive teaching strategies, multiple instructional formats, and years of teaching. Knowing factors influencing the adoption of inclusive teaching strategies can inform schools of nursing of areas needing further development in the preparation of novice to experienced educators to teach diverse learners.

Mental Health Consequences of Intimate Partner Abuse

PubMed Central

Mechanic, Mindy B.; Weaver, Terri L.; Resick, Patricia A.

2010-01-01

Battered women are exposed to multiple forms of intimate partner abuse. This article explores the independent contributions of physical violence, sexual coercion, psychological abuse, and stalking on symptoms of posttraumatic stress disorder (PTSD) and depression among a sample of 413 severely battered, help-seeking women. The authors test the unique effects of psychological abuse and stalking on mental health outcomes, after controlling for physical violence, injuries, and sexual coercion. Mean scores for the sample fall into the moderate to severe range for PTSD and within the moderate category for depression scores. Hierarchical regressions test the unique effects of stalking and psychological abuse, after controlling for physical violence, injuries, and sexual coercion. Psychological abuse and stalking contribute uniquely to the prediction of PTSD and depression symptoms, even after controlling for the effects of physical violence, injuries, and sexual coercion. Results highlight the importance of examining multiple dimensions of intimate partner abuse. PMID:18535306

Multiple dimensions of HIV stigma and psychological distress among Asians and Pacific Islanders living with HIV illness.

PubMed

Kang, Ezer; Rapkin, Bruce D; Remien, Robert H; Mellins, Claude Ann; Oh, Alina

2005-06-01

Asians and Pacific Islanders (APIs) living with HIV/AIDS in the US are particularly vulnerable to HIV-related stigma largely due to ingrained socio-cultural norms that strongly associate HIV transmission with activities perceived to be immoral. This cross-sectional study examined the relationship between five HIV-stigma factors and psychological distress among 54 HIV-seropositive APIs. Social Rejection, Negative Self-Worth, Perceived Interpersonal Insecurity, and Financial Security were all significantly associated with psychological distress. Results from hierarchical multiple regression analyses indicated that Social Rejection, Negative Self-Worth, and Perceived Interpersonal Insecurity significantly predicted psychological distress after control for physical symptoms and country of birth. Undocumented Asians endorsed higher levels of Social Rejection, Negative Self-Worth and Perceived Interpersonal Insecurity than documented APIs. Future studies examining mechanisms of psychological distress among HIV-seropositive APIs are needed.

Authenticity and Relationship Satisfaction: Two Distinct Ways of Directing Power to Self-Esteem.

PubMed

Wang, Yi Nan

2015-01-01

Possessing power contributes to high self-esteem, but how power enhances self-esteem is still unknown. As power is associated with both self-oriented goals and social-responsibility goals, we proposed that power predicts self-esteem through two positive personal and interpersonal results: authenticity and relationship satisfaction. Three studies were carried out with a total of 505 Chinese participants, including college students and adults, who completed surveys that assessed personal power, self-esteem, authenticity, relationship satisfaction, communal orientation, and social desirability. Hierarchical multiple regression analyses demonstrated that power, authenticity, and relationship satisfaction each uniquely contributed to self-esteem. More importantly, multiple mediation analysis showed that authenticity and relationship satisfaction both mediated the effects of power on self-esteem, even when controlling for participants' communal orientation and social desirability. Our findings demonstrate that authenticity and relationship satisfaction represent two key mechanisms by which power is associated with self-esteem.

Authenticity and Relationship Satisfaction: Two Distinct Ways of Directing Power to Self-Esteem

PubMed Central

Wang, Yi Nan

2015-01-01

Possessing power contributes to high self-esteem, but how power enhances self-esteem is still unknown. As power is associated with both self-oriented goals and social-responsibility goals, we proposed that power predicts self-esteem through two positive personal and interpersonal results: authenticity and relationship satisfaction. Three studies were carried out with a total of 505 Chinese participants, including college students and adults, who completed surveys that assessed personal power, self-esteem, authenticity, relationship satisfaction, communal orientation, and social desirability. Hierarchical multiple regression analyses demonstrated that power, authenticity, and relationship satisfaction each uniquely contributed to self-esteem. More importantly, multiple mediation analysis showed that authenticity and relationship satisfaction both mediated the effects of power on self-esteem, even when controlling for participants’ communal orientation and social desirability. Our findings demonstrate that authenticity and relationship satisfaction represent two key mechanisms by which power is associated with self-esteem. PMID:26720814

Intelligent multiagent coordination based on reinforcement hierarchical neuro-fuzzy models.

PubMed

Mendoza, Leonardo Forero; Vellasco, Marley; Figueiredo, Karla

2014-12-01

This paper presents the research and development of two hybrid neuro-fuzzy models for the hierarchical coordination of multiple intelligent agents. The main objective of the models is to have multiple agents interact intelligently with each other in complex systems. We developed two new models of coordination for intelligent multiagent systems, which integrates the Reinforcement Learning Hierarchical Neuro-Fuzzy model with two proposed coordination mechanisms: the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with a market-driven coordination mechanism (MA-RL-HNFP-MD) and the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with graph coordination (MA-RL-HNFP-CG). In order to evaluate the proposed models and verify the contribution of the proposed coordination mechanisms, two multiagent benchmark applications were developed: the pursuit game and the robot soccer simulation. The results obtained demonstrated that the proposed coordination mechanisms greatly improve the performance of the multiagent system when compared with other strategies.

Mechanism by which BMI influences leisure-time physical activity behavior.

PubMed

Godin, Gaston; Bélanger-Gravel, Ariane; Nolin, Bertrand

2008-06-01

The objective of this prospective study was to clarify the mechanism by which BMI influences leisure-time physical activity. This was achieved in accordance with the assumptions underlying the Theory of Planned Behavior (TPB), considered as one of the most useful theories to predict behavior adoption. At baseline, a sample of 1,530 respondents completed a short questionnaire to measure intention and perceived behavioral control (PBC), the two proximal determinants of behavior of TPB. Past behavior, sociodemographic variables, and weight and height were also assessed. The dependent variable, leisure-time physical activity was assessed 3 months later. Hierarchical multiple regression analyses revealed that BMI is a direct predictor of future leisure-time physical activity, not mediated by the variables of TPB. Additional hierarchical analyses indicated that BMI was not a moderator of the intention-behavior and PBC-behavior relationships. The results of this study suggest that high BMI is a significant negative determinant of leisure-time physical activity. This observation reinforces the importance of preventing weight gain as a health promotion strategy for avoiding a sedentary lifestyle.

Modeling Menstrual Cycle Length and Variability at the Approach of Menopause Using Hierarchical Change Point Models

PubMed Central

Huang, Xiaobi; Elliott, Michael R.; Harlow, Siobán D.

2013-01-01

SUMMARY As women approach menopause, the patterns of their menstrual cycle lengths change. To study these changes, we need to jointly model both the mean and variability of cycle length. Our proposed model incorporates separate mean and variance change points for each woman and a hierarchical model to link them together, along with regression components to include predictors of menopausal onset such as age at menarche and parity. Additional complexity arises from the fact that the calendar data have substantial missingness due to hormone use, surgery, and failure to report. We integrate multiple imputation and time-to event modeling in a Bayesian estimation framework to deal with different forms of the missingness. Posterior predictive model checks are applied to evaluate the model fit. Our method successfully models patterns of women’s menstrual cycle trajectories throughout their late reproductive life and identifies change points for mean and variability of segment length, providing insight into the menopausal process. More generally, our model points the way toward increasing use of joint mean-variance models to predict health outcomes and better understand disease processes. PMID:24729638

Association between prolonged breast-feeding and early childhood caries: a hierarchical approach.

PubMed

Nunes, Ana Margarida Melo; Alves, Claudia Maria Coelho; Borba de Araújo, Fernando; Ortiz, Tânia Mara Lopes; Ribeiro, Marizélia Rodrigues Costa; Silva, Antônio Augusto Moura da; Ribeiro, Cecília Claudia Costa

2012-12-01

This study was conducted to investigate the association between prolonged breastfeeding and early childhood caries(ECC) with adjustment for important confounders, using hieraschical approach. This retrospective cohort study involved 260 low-income children (18-42 months). The number of decayed teeth was used as a measure of caries. Following a theoretical framework, the hierarchical model was built in a forward fashion, by adding the following levels in succession: level 1: age; level 2: social variables; level 3: health variables; level 4: behavioral variables; level 5: oral hygiene-related variables; level 6: oral hygiene quality measured by visible plaque; and level 7: contamination by mutans streptococci. Sequential forward multiple Poisson regression analysis was employed. Breast-feeding was not a risk factor for ECC after adjustment for some confounders (incidence density ratio, 1.15; 95% confidence interval, 0.84-1.59, P = 0.363). Prolonged breast-feeding was not a risk factor for ECC while age, high sucrose comption between main meals and the quality of oral higiene were associated with disease in children. © 2012 John Wiley & Sons A/S.

Multilevel Higher-Order Item Response Theory Models

ERIC Educational Resources Information Center

Huang, Hung-Yu; Wang, Wen-Chung

2014-01-01

In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…

Retrenchment in Education: Hierarchical Decision Models for Instructional Program Termination, District Consolidations and School Closures.

ERIC Educational Resources Information Center

Wholeben, Brent Edward

A number of key issues facing elementary, secondary, and postsecondary educational administrators during retrenchment require a hierarchical decision-modeling approach. This paper identifies and discusses the use of a hierarchical multiple-alternatives modeling formulation (computer-based) that compares and evaluates a group of solution…

Suicide, hopelessness, and social desirability: a test of an interactive model.

PubMed

Holden, R R; Mendonca, J D; Serin, R C

1989-08-01

We examined the relationships among suicidal indices, hopelessness, and social desirability. Both hopelessness and a measure of social desirability that reflected a sense of general capability were significant indicators of suicidal manifestations. In particular, hierarchical multiple regression procedures demonstrated that hopelessness and social desirability interacted in the prediction of suicide variables. Results generalized across various clinical diagnostic subgroups of psychiatric patients and a sample of prisoners and across different clinically evaluated and self-reported indices of suicidal behavior. Findings are interpreted to mean that a sense of general capability buffers the link of hopelessness to suicidal behavior. Implications for understanding the cognitions associated with suicide and for improving prediction of persons at risk are discussed.

The influence of campus experiences on the level of outness among trans-spectrum and queer-spectrum students.

PubMed

Garvey, Jason C; Rankin, Susan R

2015-01-01

This study utilized MANOVA and hierarchical multiple regression to examine the relationships between campus experiences and coming-out decisions among trans- and queer-spectrum undergraduates. Findings revealed higher levels of outness/disclosure for cisgender LGBQ women, and more negative perceptions of campus climate, classroom climate, and curriculum inclusivity and higher use of campus resources for trans-spectrum students. Results also revealed that higher levels of outness significantly related to poorer perceptions of campus responses and campus resources. Implications address the need to foster an encouraging and supportive campus and classroom climate and to improve the relationships with LGBTQ resource centers for trans- and queer-spectrum students.

Subjective social status and readiness to quit among homeless smokers.

PubMed

Garey, Lorra; Reitzel, Lorraine R; Bakhshaie, Jafar; Kendzor, Darla E; Zvolensky, Michael J; Businelle, Michael S

2015-03-01

To explore the predictive value of subjective social status (SSS-US and SSS-Community) on readiness to quit among 245 homeless smokers. Hierarchical multiple regression analyses were conducted (stratified by sex). Higher SSS-US (p = .02) and SSS-Community (p < .001) predicted greater readiness to quit in the total sample. These relationships upheld for men (p's <. 01), but only SSS-Community predicted readiness to quit for women (p = .02). Higher SSS is associated with greater readiness to quit among homeless smokers. SSS-Community may be a more relevant index of SSS for women relative to SSS-US. Results suggest SSS may be a factor that contributes to smoking, disease, and health disparities.

The Interrelation of Prayer and Worship Service Attendance in Moderating the Negative Impact of Life Event Stressors on Mental Well-Being.

PubMed

Rainville, G

2017-09-13

The interrelation of worship service attendance and private prayer in moderating the negative impact of life event stressors on mental well-being is examined using hierarchical multiple regressions on a national sample of 2601 Americans. A theoretical model is proposed in which stressful life events are made less distressing under conditions in which exposure to pro-social content at worship services is internalized through frequent private prayer. Interactive models controlling for a block of potential confounds are run to confirm that the stress-moderating effects of worship service attendance are noted only when attendance is complemented by relatively frequent engagement in private prayer.

Associations of Immigration Transition to Cardiovascular Symptoms Experienced in Menopausal Transition.

PubMed

Im, Eun-Ok; Ko, Young; Chee, Eunice; Chee, Wonshik

The purpose of this study was to explore the associations of immigration transition to cardiovascular symptoms among 4 major racial/ethnic groups of 1054 midlife women in the United States. This was a secondary analysis of the data from 2 large national survey studies. The instruments included questions on background characteristics and immigration transition and the Cardiovascular Symptom Index for Midlife Women. The data were analyzed using inferential statistics including hierarchical multiple regressions. Immigrants reported fewer numbers (t = 5.268, P < .01) and lower severity scores (t = 5.493, P < .01) of cardiovascular symptoms compared with nonimmigrants. Self-reported racial/ethnic identify was a significant factor influencing cardiovascular symptoms (P < .01).

Clinical, laboratory, and demographic determinants of hospitalization due to dengue in 7613 patients: A retrospective study based on hierarchical models.

PubMed

da Silva, Natal Santos; Undurraga, Eduardo A; da Silva Ferreira, Elis Regina; Estofolete, Cássia Fernanda; Nogueira, Maurício Lacerda

2018-01-01

In Brazil, the incidence of hospitalization due to dengue, as an indicator of severity, has drastically increased since 1998. The objective of our study was to identify risk factors associated with subsequent hospitalization related to dengue. We analyzed 7613 dengue confirmed via serology (ELISA), non-structural protein 1, or polymerase chain reaction amplification. We used a hierarchical framework to generate a multivariate logistic regression based on a variety of risk variables. This was followed by multiple statistical analyses to assess hierarchical model accuracy, variance, goodness of fit, and whether or not this model reliably represented the population. The final model, which included age, sex, ethnicity, previous dengue infection, hemorrhagic manifestations, plasma leakage, and organ failure, showed that all measured parameters, with the exception of previous dengue, were statistically significant. The presence of organ failure was associated with the highest risk of subsequent dengue hospitalization (OR=5·75; CI=3·53-9·37). Therefore, plasma leakage and organ failure were the main indicators of hospitalization due to dengue, although other variables of minor importance should also be considered to refer dengue patients to hospital treatment, which may lead to a reduction in avoidable deaths as well as costs related to dengue. Copyright © 2017 Elsevier B.V. All rights reserved.

Social Influence on Information Technology Adoption and Sustained Use in Healthcare: A Hierarchical Bayesian Learning Method Analysis

ERIC Educational Resources Information Center

Hao, Haijing

2013-01-01

Information technology adoption and diffusion is currently a significant challenge in the healthcare delivery setting. This thesis includes three papers that explore social influence on information technology adoption and sustained use in the healthcare delivery environment using conventional regression models and novel hierarchical Bayesian…

Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models

ERIC Educational Resources Information Center

Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent

2015-01-01

When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…

Application of Hierarchical Linear Models/Linear Mixed-Effects Models in School Effectiveness Research

ERIC Educational Resources Information Center

Ker, H. W.

2014-01-01

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression…

Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis

ERIC Educational Resources Information Center

Luo, Wen; Azen, Razia

2013-01-01

Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

Semiparametric regression during 2003–2007*

PubMed Central

Ruppert, David; Wand, M.P.; Carroll, Raymond J.

2010-01-01

Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology – thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application. PMID:20305800

Replication and extension of a hierarchical model of social anxiety and depression: fear of positive evaluation as a key unique factor in social anxiety.

PubMed

Weeks, Justin W

2015-01-01

Wang, Hsu, Chiu, and Liang (2012, Journal of Anxiety Disorders, 26, 215-224) recently proposed a hierarchical model of social interaction anxiety and depression to account for both the commonalities and distinctions between these conditions. In the present paper, this model was extended to more broadly encompass the symptoms of social anxiety disorder, and replicated in a large unselected, undergraduate sample (n = 585). Structural equation modeling (SEM) and hierarchical regression analyses were employed. Negative affect and positive affect were conceptualized as general factors shared by social anxiety and depression; fear of negative evaluation (FNE) and disqualification of positive social outcomes were operationalized as specific factors, and fear of positive evaluation (FPE) was operationalized as a factor unique to social anxiety. This extended hierarchical model explicates structural relationships among these factors, in which the higher-level, general factors (i.e., high negative affect and low positive affect) represent vulnerability markers of both social anxiety and depression, and the lower-level factors (i.e., FNE, disqualification of positive social outcomes, and FPE) are the dimensions of specific cognitive features. Results from SEM and hierarchical regression analyses converged in support of the extended model. FPE is further supported as a key symptom that differentiates social anxiety from depression.

Spatial-area selective retrieval of multiple object-place associations in a hierarchical cognitive map formed by theta phase coding.

PubMed

Sato, Naoyuki; Yamaguchi, Yoko

2009-06-01

The human cognitive map is known to be hierarchically organized consisting of a set of perceptually clustered landmarks. Patient studies have demonstrated that these cognitive maps are maintained by the hippocampus, while the neural dynamics are still poorly understood. The authors have shown that the neural dynamic "theta phase precession" observed in the rodent hippocampus may be capable of forming hierarchical cognitive maps in humans. In the model, a visual input sequence consisting of object and scene features in the central and peripheral visual fields, respectively, results in the formation of a hierarchical cognitive map for object-place associations. Surprisingly, it is possible for such a complex memory structure to be formed in a few seconds. In this paper, we evaluate the memory retrieval of object-place associations in the hierarchical network formed by theta phase precession. The results show that multiple object-place associations can be retrieved with the initial cue of a scene input. Importantly, according to the wide-to-narrow unidirectional connections among scene units, the spatial area for object-place retrieval can be controlled by the spatial area of the initial cue input. These results indicate that the hierarchical cognitive maps have computational advantages on a spatial-area selective retrieval of multiple object-place associations. Theta phase precession dynamics is suggested as a fundamental neural mechanism of the human cognitive map.

Hierarchical structures consisting of SiO2 nanorods and p-GaN microdomes for efficiently harvesting solar energy for InGaN quantum well photovoltaic cells.

PubMed

Ho, Cheng-Han; Lien, Der-Hsien; Chang, Hung-Chih; Lin, Chin-An; Kang, Chen-Fang; Hsing, Meng-Kai; Lai, Kun-Yu; He, Jr-Hau

2012-12-07

We experimentally and theoretically demonstrated the hierarchical structure of SiO(2) nanorod arrays/p-GaN microdomes as a light harvesting scheme for InGaN-based multiple quantum well solar cells. The combination of nano- and micro-structures leads to increased internal multiple reflection and provides an intermediate refractive index between air and GaN. Cells with the hierarchical structure exhibit improved short-circuit current densities and fill factors, rendering a 1.47 fold efficiency enhancement as compared to planar cells.

Filicide-suicide ideation among Taiwanese parents with school-aged children: prevalence and associated factors.

PubMed

Wei, Hsi-Sheng; Chen, Ji-Kang

2014-03-01

This study explored the prevalence of filicide-suicide ideation among Taiwanese parents with school-aged children. Multiple risk factors associated with filicide-suicide ideation were assessed, and the potential effect of traditional family values was evaluated. A random sample of 1,564 parents was recruited from 21 elementary schools in a rural area of Taiwan. Potential risk factors, including demographics, family finance, psychological maladjustment, family interaction, and cultural beliefs, were further examined using a hierarchical logistic regression. Overall, 14.6% of the respondents reported having filicide-suicide ideation during the past year. The hierarchical logistic regression analysis showed that demographic factors including age, gender, and ethnicity had no significant effect. Family finances, depression, and conflict with the respondent's spouse were positively associated with filicide-suicide ideation. Finally, the parents' beliefs in traditional family values had a positive effect on filicide-suicide ideation. In other words, filicide-suicide thoughts were more common among those who upheld a strong parental responsibility for care giving and family solidarity. This study revealed a substantial prevalence of filicide-suicide ideation among local parents and identified a number of risk factors associated with those thoughts, namely family financial status, parental depression, and conflict with one's spouse. More importantly, the results highlighted the effect of traditional family values in the process. The potential intention of filicide-suicide as mercy killing and its cultural relevance were discussed. Copyright © 2013 Elsevier Ltd. All rights reserved.

Media exposure and oral health outcomes among adults.

PubMed

Zini, Avraham; Sgan-Cohen, Harold D; Vered, Yuval

2013-02-01

To assess the impact of media exposure on oral health outcomes among Jewish adults in Jerusalem, Israel, by means of a conceptual hierarchical model. A cross-sectional study was conducted using a stratified sample of 254 adults 35 to 44 years (mean age, 38.63 years) in Jerusalem, Israel. Media exposure was operationally categorized by type and frequency. Behavioral data included toothbrushing, dental attendance, oral hygiene aids use, plaque level, sugar consumption, and smoking. Clinical outcomes were assessed according to the decayed/missing/filled teeth (DMFT) index and the community periodontal index (CPI). Results were analyzed by chi-square test, independent test, one-way ANOVA, and linear and multiple logistic regression models. A total of 254 examinees consisted of 127 men and 127 mean (married couples). High type and high frequency of media exposure, as compared with other modes, revealed statistically significant higher caries experience (DMFT, 13.10), higher level of untreated decay (D, 1.67), and lower periodontal health (CPI [0], 0.39). A conceptual hierarchical regression model identified that the relationship described was mediated by sociodemographic determinants (education) and behavioral determinants (dental attendance and plaque level). Media exposure should be observed by community health program planners and general practitioners to examine the type and frequency of the messages. They also need to react on time to balanced bad advertising and add a good message at the community. This pragmatic approach could lead to better use of the media and improve oral health behavior and outcomes.

Formal Multilevel Hierarchical Verification of Synchronous MOS VLSI Circuits.

DTIC Science & Technology

1987-06-01

166 12.4 Capacitance Coupling............................. 166 12.5 Multiple Abstraction Fuctions ....................... 168...depend on whether it is performing flat verification or hierarchical verification. The primary operations of Silica Pithecus when performing flat...signals never arise. The primary operation of Silica Pithecus when performing hierarchical verification is processing constraints to show they hold

Hierarchical Ensemble Methods for Protein Function Prediction

PubMed Central

2014-01-01

Protein function prediction is a complex multiclass multilabel classification problem, characterized by multiple issues such as the incompleteness of the available annotations, the integration of multiple sources of high dimensional biomolecular data, the unbalance of several functional classes, and the difficulty of univocally determining negative examples. Moreover, the hierarchical relationships between functional classes that characterize both the Gene Ontology and FunCat taxonomies motivate the development of hierarchy-aware prediction methods that showed significantly better performances than hierarchical-unaware “flat” prediction methods. In this paper, we provide a comprehensive review of hierarchical methods for protein function prediction based on ensembles of learning machines. According to this general approach, a separate learning machine is trained to learn a specific functional term and then the resulting predictions are assembled in a “consensus” ensemble decision, taking into account the hierarchical relationships between classes. The main hierarchical ensemble methods proposed in the literature are discussed in the context of existing computational methods for protein function prediction, highlighting their characteristics, advantages, and limitations. Open problems of this exciting research area of computational biology are finally considered, outlining novel perspectives for future research. PMID:25937954

Robust Real-Time Music Transcription with a Compositional Hierarchical Model.

PubMed

Pesek, Matevž; Leonardis, Aleš; Marolt, Matija

2017-01-01

The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation, as well as robustness and speed which make it suitable for real-world and real-time use. The model consists of multiple layers, each composed of a number of parts. The hierarchical nature of the model corresponds well to hierarchical structures in music. The parts in lower layers correspond to low-level concepts (e.g. tone partials), while the parts in higher layers combine lower-level representations into more complex concepts (tones, chords). The layers are learned in an unsupervised manner from music signals. Parts in each layer are compositions of parts from previous layers based on statistical co-occurrences as the driving force of the learning process. In the paper, we present the model's structure and compare it to other hierarchical approaches in the field of music information retrieval. We evaluate the model's performance for the multiple fundamental frequency estimation. Finally, we elaborate on extensions of the model towards other music information retrieval tasks.

Robust, Adaptive Functional Regression in Functional Mixed Model Framework.

PubMed

Zhu, Hongxiao; Brown, Philip J; Morris, Jeffrey S

2011-09-01

Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges. Various methods for functional data analysis have been developed, including functional response regression methods that involve regression of a functional response on univariate/multivariate predictors with nonparametrically represented functional coefficients. In existing methods, however, the functional regression can be sensitive to outlying curves and outlying regions of curves, so is not robust. In this paper, we introduce a new Bayesian method, robust functional mixed models (R-FMM), for performing robust functional regression within the general functional mixed model framework, which includes multiple continuous or categorical predictors and random effect functions accommodating potential between-function correlation induced by the experimental design. The underlying model involves a hierarchical scale mixture model for the fixed effects, random effect and residual error functions. These modeling assumptions across curves result in robust nonparametric estimators of the fixed and random effect functions which down-weight outlying curves and regions of curves, and produce statistics that can be used to flag global and local outliers. These assumptions also lead to distributions across wavelet coefficients that have outstanding sparsity and adaptive shrinkage properties, with great flexibility for the data to determine the sparsity and the heaviness of the tails. Together with the down-weighting of outliers, these within-curve properties lead to fixed and random effect function estimates that appear in our simulations to be remarkably adaptive in their ability to remove spurious features yet retain true features of the functions. We have developed general code to implement this fully Bayesian method that is automatic, requiring the user to only provide the functional data and design matrices. It is efficient enough to handle large data sets, and yields posterior samples of all model parameters that can be used to perform desired Bayesian estimation and inference. Although we present details for a specific implementation of the R-FMM using specific distributional choices in the hierarchical model, 1D functions, and wavelet transforms, the method can be applied more generally using other heavy-tailed distributions, higher dimensional functions (e.g. images), and using other invertible transformations as alternatives to wavelets.

Robust, Adaptive Functional Regression in Functional Mixed Model Framework

PubMed Central

Zhu, Hongxiao; Brown, Philip J.; Morris, Jeffrey S.

2012-01-01

Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges. Various methods for functional data analysis have been developed, including functional response regression methods that involve regression of a functional response on univariate/multivariate predictors with nonparametrically represented functional coefficients. In existing methods, however, the functional regression can be sensitive to outlying curves and outlying regions of curves, so is not robust. In this paper, we introduce a new Bayesian method, robust functional mixed models (R-FMM), for performing robust functional regression within the general functional mixed model framework, which includes multiple continuous or categorical predictors and random effect functions accommodating potential between-function correlation induced by the experimental design. The underlying model involves a hierarchical scale mixture model for the fixed effects, random effect and residual error functions. These modeling assumptions across curves result in robust nonparametric estimators of the fixed and random effect functions which down-weight outlying curves and regions of curves, and produce statistics that can be used to flag global and local outliers. These assumptions also lead to distributions across wavelet coefficients that have outstanding sparsity and adaptive shrinkage properties, with great flexibility for the data to determine the sparsity and the heaviness of the tails. Together with the down-weighting of outliers, these within-curve properties lead to fixed and random effect function estimates that appear in our simulations to be remarkably adaptive in their ability to remove spurious features yet retain true features of the functions. We have developed general code to implement this fully Bayesian method that is automatic, requiring the user to only provide the functional data and design matrices. It is efficient enough to handle large data sets, and yields posterior samples of all model parameters that can be used to perform desired Bayesian estimation and inference. Although we present details for a specific implementation of the R-FMM using specific distributional choices in the hierarchical model, 1D functions, and wavelet transforms, the method can be applied more generally using other heavy-tailed distributions, higher dimensional functions (e.g. images), and using other invertible transformations as alternatives to wavelets. PMID:22308015

Profile and predictors of global distress: can the DT guide nursing practice in prostate cancer?

PubMed

Lotfi-Jam, Kerryann; Gough, Karla; Schofield, Penelope; Aranda, Sanchia

2014-02-01

This study examines the ability of the distress thermometer to accurately identify patients with higher symptoms, unmet needs and psychological morbidity. Baseline data collected as part of a randomized controlled trial evaluating a nurse-led supportive care intervention for men with prostate cancer commencing radiotherapy at a specialist cancer hospital in Melbourne, Australia. Measures assessed global distress (DT), anxious and depressive symptomatology (HADS), prostate-cancer specific quality of life (EPIC-26), unmet supportive care needs (SCNS-SF34R) and cancer treatment-related concerns (CATS). Following descriptive and correlational analysis, hierarchical multiple regression was employed to examine the contribution of variable sets to explaining variance in DT scores. Less than 20% of men reported DT scores of 4 or higher, indicating overall low distress. The DT accurately identified almost all men reporting HADS score indicative of anxious or depressive symptomatology, suggesting it accurately identifies psychological morbidity. Importantly, the DT identified a further group of distressed men, not identified by HADS, whose distress related to unmet needs and prostate cancer-specific issues, indicating the DT is superior in identifying other forms of distress. While the hierarchical multiple regression confirmed anxious and depressive symptomatology as the best predictor of distress score, many other scales are also good predictors of DT scores, supporting the argument that distress is multi-determined. Nurses can be confident that the DT accurately identifies patients with psychological morbidity and importantly identifies other patients with distress who may require intervention. A distress score of 4 or higher identified participants with higher physical symptomatology, higher unmet needs, more concerns about treatment and poorer quality of life. The low prevalence of distress reaching cut off scores suggests nurses would not be overwhelmed by the outcomes of screening and could use the score to prioritise the patients who need greater attention at entry to radiotherapy services.

Quality of life in multiple sclerosis (MS) and role of fatigue, depression, anxiety, and stress: A bicenter study from north of Iran

PubMed Central

Salehpoor, Ghasem; Rezaei, Sajjad; Hosseininezhad, Mozaffar

2014-01-01

Background: Although studies have demonstrated significant negative relationships between quality of life (QOL), fatigue, and the most common psychological symptoms (depression, anxiety, stress), the main ambiguity of previous studies on QOL is in the relative importance of these predictors. Also, there is lack of adequate knowledge about the actual contribution of each of them in the prediction of QOL dimensions. Thus, the main objective of this study is to assess the role of fatigue, depression, anxiety, and stress in relation to QOL of multiple sclerosis (MS) patients. Materials and Methods: One hundred and sixty-two MS patients completed the questionnaire on demographic variables, and then they were evaluated by the Persian versions of Short-Form Health Survey Questionnaire (SF-36), Fatigue Survey Scale (FSS), and Depression, Anxiety, Stress Scale-21 (DASS-21). Data were analyzed by Pearson correlation coefficient and hierarchical regression. Results: Correlation analysis showed a significant relationship between QOL elements in SF-36 (physical component summary and mental component summary) and depression, fatigue, stress, and anxiety (P < 0.01). Hierarchical regression analysis indicated that among the predictor variables in the final step, fatigue, depression, and anxiety were identified as the physical component summary predictor variables. Anxiety was found to be the most powerful predictor variable amongst all (β = −0.46, P < 0.001). Furthermore, results have shown depression as the only significant mental component summary predictor variable (β = −0.39, P < 0.001). Conclusions: This study has highlighted the role of anxiety, fatigue, and depression in physical dimensions and the role of depression in psychological dimensions of the lives of MS patients. In addition, the findings of this study indirectly suggest that psychological interventions for reducing fatigue, depression, and anxiety can lead to improved QOL of MS patients. PMID:25558256

Estimating and Modelling Bias of the Hierarchical Partitioning Public-Domain Software: Implications in Environmental Management and Conservation

PubMed Central

Olea, Pedro P.; Mateo-Tomás, Patricia; de Frutos, Ángel

2010-01-01

Background Hierarchical partitioning (HP) is an analytical method of multiple regression that identifies the most likely causal factors while alleviating multicollinearity problems. Its use is increasing in ecology and conservation by its usefulness for complementing multiple regression analysis. A public-domain software “hier.part package” has been developed for running HP in R software. Its authors highlight a “minor rounding error” for hierarchies constructed from >9 variables, however potential bias by using this module has not yet been examined. Knowing this bias is pivotal because, for example, the ranking obtained in HP is being used as a criterion for establishing priorities of conservation. Methodology/Principal Findings Using numerical simulations and two real examples, we assessed the robustness of this HP module in relation to the order the variables have in the analysis. Results indicated a considerable effect of the variable order on the amount of independent variance explained by predictors for models with >9 explanatory variables. For these models the nominal ranking of importance of the predictors changed with variable order, i.e. predictors declared important by its contribution in explaining the response variable frequently changed to be either most or less important with other variable orders. The probability of changing position of a variable was best explained by the difference in independent explanatory power between that variable and the previous one in the nominal ranking of importance. The lesser is this difference, the more likely is the change of position. Conclusions/Significance HP should be applied with caution when more than 9 explanatory variables are used to know ranking of covariate importance. The explained variance is not a useful parameter to use in models with more than 9 independent variables. The inconsistency in the results obtained by HP should be considered in future studies as well as in those already published. Some recommendations to improve the analysis with this HP module are given. PMID:20657734

A new instrument to measure quality of life of heart failure family caregivers.

PubMed

Nauser, Julie A; Bakas, Tamilyn; Welch, Janet L

2011-01-01

Family caregivers of heart failure (HF) patients experience poor physical and mental health leading to poor quality of life. Although several quality-of-life measures exist, they are often too generic to capture the unique experience of this population. The purpose of this study was to evaluate the psychometric properties of the Family Caregiver Quality of Life (FAMQOL) Scale that was designed to assess the physical, psychological, social, and spiritual dimensions of quality of life among caregivers of HF patients. Psychometric testing of the FAMQOL with 100 HF family caregivers was conducted using item analysis, Cronbach α, intraclass correlation, factor analysis, and hierarchical multiple regression guided by a conceptual model. Caregivers were predominately female (89%), white, (73%), and spouses (62%). Evidence of internal consistency reliability (α=.89) was provided for the FAMQOL, with item-total correlations of 0.39 to 0.74. Two-week test-retest reliability was supported by an intraclass correlation coefficient of 0.91. Using a 1-factor solution and principal axis factoring, loadings ranged from 0.31 to 0.78, with 41% of the variance explained by the first factor (eigenvalue=6.5). With hierarchical multiple regression, 56% of the FAMQOL variance was explained by model constructs (F8,91=16.56, P<.001). Criterion-related validity was supported by correlations with SF-36 General (r=0.45, P<.001) and Mental (r=0.59, P<.001) Health subscales and Bakas Caregiving Outcomes Scale (r=0.73, P<.001). Evidence of internal and test-retest reliability and construct and criterion validity was provided for physical, psychological, and social well-being subscales. The 16-item FAMQOL is a brief, easy-to-administer instrument that has evidence of reliability and validity in HF family caregivers. Physical, psychological, and social well-being can be measured with 4-item subscales. The FAMQOL scale could serve as a valuable measure in research, as well as an assessment tool to identify caregivers in need of intervention.

A hierarchical linear model for tree height prediction.

Treesearch

Vicente J. Monleon

2003-01-01

Measuring tree height is a time-consuming process. Often, tree diameter is measured and height is estimated from a published regression model. Trees used to develop these models are clustered into stands, but this structure is ignored and independence is assumed. In this study, hierarchical linear models that account explicitly for the clustered structure of the data...

Gendered Cultural Identities: The Influences of Family and Privacy Boundaries, Subjective Norms, and Stigma Beliefs on Family Health History Communication.

PubMed

Hong, Soo Jung

2018-08-01

This study investigates the effects of cultural norms on family health history (FHH) communication in the American, Chinese, and Korean cultures. More particularly, this study focuses on perceived family boundaries, subjective norms, stigma beliefs, and privacy boundaries, including age and gender, that affect people's FHH communication. For data analyses, hierarchical multiple regression and logistic regression methods were employed. The results indicate that participants' subjective norms, stigma beliefs, and perceived family/privacy boundaries were positively associated with current FHH communication. Age- and gender-related privacy boundaries were negatively related to perceived privacy boundaries, however. Finally, the results show that gendered cultural identities have three-way interaction effects on two associations: (1) between perceived family boundaries and perceived privacy boundaries and (2) between perceived privacy boundaries and current FHH communication. The findings have meaningful implications for future cross-cultural studies on the roles of family systems, subjective norms, and stigma beliefs in FHH communication.

Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets

USGS Publications Warehouse

Finley, Andrew O.; Banerjee, Sudipto; Cook, Bruce D.; Bradford, John B.

2013-01-01

In this paper we detail a multivariate spatial regression model that couples LiDAR, hyperspectral and forest inventory data to predict forest outcome variables at a high spatial resolution. The proposed model is used to analyze forest inventory data collected on the US Forest Service Penobscot Experimental Forest (PEF), ME, USA. In addition to helping meet the regression model's assumptions, results from the PEF analysis suggest that the addition of multivariate spatial random effects improves model fit and predictive ability, compared with two commonly applied modeling approaches. This improvement results from explicitly modeling the covariation among forest outcome variables and spatial dependence among observations through the random effects. Direct application of such multivariate models to even moderately large datasets is often computationally infeasible because of cubic order matrix algorithms involved in estimation. We apply a spatial dimension reduction technique to help overcome this computational hurdle without sacrificing richness in modeling.

Can additive measures add to an intersectional understanding? Experiences of gay and ethnic discrimination among HIV-positive Latino gay men.

PubMed

Reisen, Carol A; Brooks, Kelly D; Zea, Maria Cecilia; Poppen, Paul J; Bianchi, Fernanda T

2013-04-01

The current study investigated a methodological question of whether traditional, additive, quantitative data can be used to address intersectional issues, and illustrated such an approach with a sample of 301 HIV-positive, Latino gay men in the United States. Participants were surveyed using A-CASI. Hierarchical logistic set regression investigated the role of sets of variables reflecting demographic characteristics, gender nonconformity, and gay and ethnic discrimination in relation to depression and gay collective identity. Results showed the discrimination set was related to depression and to gay collective identity, as was gender nonconformity. Follow-up logistic regression showed that both types of discrimination were associated with greater depression, but gender nonconformity was not. Gay discrimination and gender nonconformity were positively associated with gay collective identity, whereas ethnic discrimination was negatively associated. Results are discussed in terms of the use of traditional quantitative data as a potential means of understanding intersectional issues, as well as of contributing to knowledge about individuals facing multiple structural inequalities.

Oral diseases associated with condition-specific oral health-related quality of life and school performance of Thai primary school children: A hierarchical approach.

PubMed

Kaewkamnerdpong, Issarapong; Krisdapong, Sudaduang

2018-06-01

To assess the hierarchical associations between children's school performance and condition-specific (CS) oral health-related quality of life (OHRQoL), school absence, oral status, sociodemographic and economic status (SDES) and social capital; and to investigate the associations between CS OHRQoL and related oral status, adjusting for SDES and social capital. Data on 925 sixth grade children in Sakaeo province, Thailand, were collected through oral examinations for dental caries and oral hygiene, social capital questionnaires, OHRQoL interviews using the Child-Oral Impacts on Daily Performances index, parental self-administered questionnaires and school documents. A hierarchical conceptual framework was developed, and independent variables were hierarchically entered into multiple logistic models for CS OHRQoL and linear regression models for school performance. After adjusting for SDES and social capital, children with high DMFT or DT scores were significantly threefold more likely to have CS impacts attributed to dental caries. However, poor oral hygiene was not significantly associated with CS impacts attributed to gingival disease. High DMFT scores were significantly associated with lower school performance, whereas high Simplified Oral Hygiene Index scores were not. The final model showed that CS impacts attributed to dental caries and school absence accounted for the association between DMFT score and school performance. Dental caries was associated with CS impacts on OHRQoL, and exerted its effect on school performance through the CS impacts and school absence. There was no association between oral hygiene and CS impacts on OHRQoL or school performance. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Emergence of the interplay between hierarchy and contact splitting in biological adhesion highlighted through a hierarchical shear lag model.

PubMed

Brely, Lucas; Bosia, Federico; Pugno, Nicola M

2018-06-20

Contact unit size reduction is a widely studied mechanism as a means to improve adhesion in natural fibrillar systems, such as those observed in beetles or geckos. However, these animals also display complex structural features in the way the contact is subdivided in a hierarchical manner. Here, we study the influence of hierarchical fibrillar architectures on the load distribution over the contact elements of the adhesive system, and the corresponding delamination behaviour. We present an analytical model to derive the load distribution in a fibrillar system loaded in shear, including hierarchical splitting of contacts, i.e. a "hierarchical shear-lag" model that generalizes the well-known shear-lag model used in mechanics. The influence on the detachment process is investigated introducing a numerical procedure that allows the derivation of the maximum delamination force as a function of the considered geometry, including statistical variability of local adhesive energy. Our study suggests that contact splitting generates improved adhesion only in the ideal case of extremely compliant contacts. In real cases, to produce efficient adhesive performance, contact splitting needs to be coupled with hierarchical architectures to counterbalance high load concentrations resulting from contact unit size reduction, generating multiple delamination fronts and helping to avoid detrimental non-uniform load distributions. We show that these results can be summarized in a generalized adhesion scaling scheme for hierarchical structures, proving the beneficial effect of multiple hierarchical levels. The model can thus be used to predict the adhesive performance of hierarchical adhesive structures, as well as the mechanical behaviour of composite materials with hierarchical reinforcements.

Investigating the effects of climate variations on bacillary dysentery incidence in northeast China using ridge regression and hierarchical cluster analysis

PubMed Central

Huang, Desheng; Guan, Peng; Guo, Junqiao; Wang, Ping; Zhou, Baosen

2008-01-01

Background The effects of climate variations on bacillary dysentery incidence have gained more recent concern. However, the multi-collinearity among meteorological factors affects the accuracy of correlation with bacillary dysentery incidence. Methods As a remedy, a modified method to combine ridge regression and hierarchical cluster analysis was proposed for investigating the effects of climate variations on bacillary dysentery incidence in northeast China. Results All weather indicators, temperatures, precipitation, evaporation and relative humidity have shown positive correlation with the monthly incidence of bacillary dysentery, while air pressure had a negative correlation with the incidence. Ridge regression and hierarchical cluster analysis showed that during 1987–1996, relative humidity, temperatures and air pressure affected the transmission of the bacillary dysentery. During this period, all meteorological factors were divided into three categories. Relative humidity and precipitation belonged to one class, temperature indexes and evaporation belonged to another class, and air pressure was the third class. Conclusion Meteorological factors have affected the transmission of bacillary dysentery in northeast China. Bacillary dysentery prevention and control would benefit from by giving more consideration to local climate variations. PMID:18816415

Single versus multiple sets of resistance exercise: a meta-regression.

PubMed

Krieger, James W

2009-09-01

There has been considerable debate over the optimal number of sets per exercise to improve musculoskeletal strength during a resistance exercise program. The purpose of this study was to use hierarchical, random-effects meta-regression to compare the effects of single and multiple sets per exercise on dynamic strength. English-language studies comparing single with multiple sets per exercise, while controlling for other variables, were considered eligible for inclusion. The analysis comprised 92 effect sizes (ESs) nested within 30 treatment groups and 14 studies. Multiple sets were associated with a larger ES than a single set (difference = 0.26 +/- 0.05; confidence interval [CI]: 0.15, 0.37; p < 0.0001). In a dose-response model, 2 to 3 sets per exercise were associated with a significantly greater ES than 1 set (difference = 0.25 +/- 0.06; CI: 0.14, 0.37; p = 0.0001). There was no significant difference between 1 set per exercise and 4 to 6 sets per exercise (difference = 0.35 +/- 0.25; CI: -0.05, 0.74; p = 0.17) or between 2 to 3 sets per exercise and 4 to 6 sets per exercise (difference = 0.09 +/- 0.20; CI: -0.31, 0.50; p = 0.64). There were no interactions between set volume and training program duration, subject training status, or whether the upper or lower body was trained. Sensitivity analysis revealed no highly influential studies, and no evidence of publication bias was observed. In conclusion, 2 to 3 sets per exercise are associated with 46% greater strength gains than 1 set, in both trained and untrained subjects.

Modelling habitat associations with fingernail clam (Family: Sphaeriidae) counts at multiple spatial scales using hierarchical count models

USGS Publications Warehouse

Gray, B.R.; Haro, R.J.; Rogala, J.T.; Sauer, J.S.

2005-01-01

1. Macroinvertebrate count data often exhibit nested or hierarchical structure. Examples include multiple measurements along each of a set of streams, and multiple synoptic measurements from each of a set of ponds. With data exhibiting hierarchical structure, outcomes at both sampling (e.g. Within stream) and aggregated (e.g. Stream) scales are often of interest. Unfortunately, methods for modelling hierarchical count data have received little attention in the ecological literature. 2. We demonstrate the use of hierarchical count models using fingernail clam (Family: Sphaeriidae) count data and habitat predictors derived from sampling and aggregated spatial scales. The sampling scale corresponded to that of a standard Ponar grab (0.052 m(2)) and the aggregated scale to impounded and backwater regions within 38-197 km reaches of the Upper Mississippi River. Impounded and backwater regions were resampled annually for 10 years. Consequently, measurements on clams were nested within years. Counts were treated as negative binomial random variates, and means from each resampling event as random departures from the impounded and backwater region grand means. 3. Clam models were improved by the addition of covariates that varied at both the sampling and regional scales. Substrate composition varied at the sampling scale and was associated with model improvements, and reductions (for a given mean) in variance at the sampling scale. Inorganic suspended solids (ISS) levels, measured in the summer preceding sampling, also yielded model improvements and were associated with reductions in variances at the regional rather than sampling scales. ISS levels were negatively associated with mean clam counts. 4. Hierarchical models allow hierarchically structured data to be modelled without ignoring information specific to levels of the hierarchy. In addition, information at each hierarchical level may be modelled as functions of covariates that themselves vary by and within levels. As a result, hierarchical models provide researchers and resource managers with a method for modelling hierarchical data that explicitly recognises both the sampling design and the information contained in the corresponding data.

The impact of attachment and depression symptoms on multiple risk behaviors in post-war adolescents in northern Uganda.

PubMed

Okello, J; Nakimuli-Mpungu, E; Klasen, F; Voss, C; Musisi, S; Broekaert, E; Derluyn, I

2015-07-15

We have previously shown that depression symptoms are associated with multiple risk behaviors and that parental attachments are protective against depression symptoms in post-war adolescents. Accumulating literature indicates that low levels of attachment may sensitize individuals to increased multiple risk behaviors when depression symptoms exist. This investigation examined the interactive effects of attachment and depression symptoms on multiple risk behavior. We conducted hierarchical logistic regression analyses to examine the impact of attachment and depression symptoms on multiple risk behavior in our post-war sample of 551 adolescents in Gulu district. Analyses revealed interactive effects for only maternal attachment-by-depression interaction. Interestingly, high levels of maternal attachment exacerbated the relationship between depression symptoms and multiple risk behaviors while low levels of maternal attachment attenuated this relationship. It is possible that this analysis could be biased by a common underlying factor that influences self-reporting and therefore is correlated with each of self-reported attachment security, depressive symptoms, and multiple risk behaviors. These findings suggest that maternal attachment serves as a protective factor at low levels while serving as an additional risk factor at high levels. Findings support and expand current knowledge about the roles that attachment and depression symptoms play in the development of multiple risk behaviors and suggest a more complex etiology for post-war adolescents. Copyright © 2015 Elsevier B.V. All rights reserved.

Motivation and Self-Management Behavior of the Individuals With Chronic Low Back Pain.

PubMed

Jung, Mi Jung; Jeong, Younhee

2016-01-01

Self-management behavior is an important component for successful pain management in individuals with chronic low back pain. Motivation has been considered as an effective way to change behavior. Because there are other physical, social, and psychological factors affecting individuals with pain, it is necessary to identify the main effect of motivation on self-management behavior without the influence of those factors. The purpose of this study was to investigate the effect of motivation on self-management in controlling pain, depression, and social support. We used a nonexperimental, cross-sectional, descriptive design with mediation analysis and included 120 participants' data in the final analysis. We also used hierarchical multiple regression to test the effect of motivation, and multiple regression analysis and Sobel test were used to examine the mediating effect. Motivation itself accounted for 23.4% of the variance in self-management, F(1, 118) = 35.003, p < .001. After controlling covariates, motivation was also a significant factor for self-management. In the mediation analysis, motivation completely mediated the relationship between education and self-management, z = 2.292, p = .021. Motivation is an important part of self-management, and self-management education is not effective without motivation. The results of our study suggest that nurses incorporate motivation in nursing intervention, rather than only giving information.

High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

PubMed Central

Carvalho, Carlos M.; Chang, Jeffrey; Lucas, Joseph E.; Nevins, Joseph R.; Wang, Quanli; West, Mike

2010-01-01

We describe studies in molecular profiling and biological pathway analysis that use sparse latent factor and regression models for microarray gene expression data. We discuss breast cancer applications and key aspects of the modeling and computational methodology. Our case studies aim to investigate and characterize heterogeneity of structure related to specific oncogenic pathways, as well as links between aggregate patterns in gene expression profiles and clinical biomarkers. Based on the metaphor of statistically derived “factors” as representing biological “subpathway” structure, we explore the decomposition of fitted sparse factor models into pathway subcomponents and investigate how these components overlay multiple aspects of known biological activity. Our methodology is based on sparsity modeling of multivariate regression, ANOVA, and latent factor models, as well as a class of models that combines all components. Hierarchical sparsity priors address questions of dimension reduction and multiple comparisons, as well as scalability of the methodology. The models include practically relevant non-Gaussian/nonparametric components for latent structure, underlying often quite complex non-Gaussianity in multivariate expression patterns. Model search and fitting are addressed through stochastic simulation and evolutionary stochastic search methods that are exemplified in the oncogenic pathway studies. Supplementary supporting material provides more details of the applications, as well as examples of the use of freely available software tools for implementing the methodology. PMID:21218139

LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

Treesearch

Chad Babcock; Andrew O. Finley; John B. Bradford; Randy Kolka; Richard Birdsey; Michael G. Ryan

2015-01-01

Many studies and production inventory systems have shown the utility of coupling covariates derived from Light Detection and Ranging (LiDAR) data with forest variables measured on georeferenced inventory plots through regression models. The objective of this study was to propose and assess the use of a Bayesian hierarchical modeling framework that accommodates both...

Protective effects of self-esteem and family support on suicide risk behaviors among at-risk adolescents.

PubMed

Sharaf, Amira Y; Thompson, Elaine A; Walsh, Elaine

2009-08-01

If and how family support and self-esteem might interact to protect against adolescent suicide risk is not well understood. Hierarchical multiple regression was used to examine the moderating effect of family support on the relationship between self-esteem and suicide risk behaviors among potential high school dropouts (N = 849), using questionnaires and in-depth assessment interviews. Family support moderated the impact of self-esteem on suicide risk; the ameliorating effect of self-esteem was stronger among adolescents with low versus high family support. Self-esteem influences adolescent suicide risk behaviors for youth with low as well as high family support. Interventions designed to strengthen both self-esteem and support resources are appropriate.

Sociocultural and Victimization Factors That Impact Attitudes Toward Intimate Partner Violence Among Kenyan Women.

PubMed

Mugoya, George C T; Witte, Tricia H; Ernst, Kacey C

2015-10-01

This study investigates the association between acceptance of intimate partner violence (IPV) and reported IPV victimization among Kenyan women, taking into consideration select sociocultural factors that may also influence acceptance of IPV. Data from a nationally representative, cross-sectional, household survey conducted between November 2008 and February 2009 in Kenya were analyzed. Hierarchical multiple regression was conducted to estimate the effect of select sociodemographic characteristics and reported IPV victimization on acceptance of IPV. The results showed that while both sociodemographic characteristics and reported IPV victimization were significantly associated with IPV acceptance, sociocultural factors had a greater impact. Programs aimed at empowering women and culturally competent IPV prevention strategies may be the key elements to reducing IPV. © The Author(s) 2014.

Psychosomatic symptoms in medical outpatients: an investigation of self-handicapping theory.

PubMed

Organista, P B; Miranda, J

1991-01-01

Investigated self-handicapping theory as it relates to somatization in medical patients. We predicted that medical outpatients (N = 113) would report psychosomatic symptoms in response to events that threaten their self-esteem. As predicted, results of hierarchical multiple regression indicated that high-perfectionism patients reported somatic symptoms positively related to the number of events that jeopardize their sense of accomplishment, whereas low-perfectionism patients' somatic symptoms were not related to these events (p = .005). Contrary to prediction, high-dependency patients did not differ significantly from low-dependency patients in the relationship of somatic symptoms and events that threatened their interpersonal relationships (p = .115). Implications of these findings and the utility of self-handicapping theory for predicting somatization in medical patients are discussed.

Personality Traits, Facets and Cognitive Performance: Age Differences in Their Relations

PubMed Central

Graham, Eileen K.; Lachman, Margie E.

2014-01-01

Personality traits and cognitive performance are related, but little work has examined how these associations vary by personality facet or age. 154 adults aged 22 to 84 completed the Brief Test of Adult Cognition by Telephone (BTACT) and the NEO Five Factor Personality Inventory. Hierarchical multiple regression analyses showed negative emotional aspects of personality (neuroticism, depression) were associated with lower reasoning, and social aspects of personality (assertiveness) were associated with faster reaction time, yet lower reasoning. The association between neuroticism and performance was found primarily among younger adults. In older adulthood, better performance was associated with positive emotional aspects of personality. We discuss how personality may have different associations with performance across age and the implications for possible interventions. PMID:24821992

The impact of dependent-care responsibility and gender on work attitudes.

PubMed

Buffardi, L C; Smith, J L; O'Brien, A S; Erdwins, C J

1999-10-01

On the basis of a survey of 18,120 federal employees in dual-income households, six 5-stage hierarchical multiple regression analyses, controlling for 10 demographic variables, assessed the impact of child care, elder care, and gender on work-family balance and various facets of job satisfaction. Elder-care responsibility was associated with lower levels of satisfaction with perceived organizational support, pay, leave benefits, and work-family balance, whereas the negative main effects of child care were limited to leave benefits and work-family balance. However, child-care responsibility also interacted with gender: Its negative influence was greater on women's work-family balance and leave satisfaction. Decrements in satisfaction associated with dependent care on the "sandwich generation" were additive, not interactive.

Externalizing and Internalizing Behaviors in ASD

PubMed Central

Bauminger, Nirit; Solomon, Marjorie; Rogers, Sally J.

2017-01-01

The current study investigated the relationships between internalizing and externalizing (I-E) behaviors and family variables, including both parenting stress and quality of attachment relations, in children aged 8–12 with high-functioning autism spectrum disorder (ASD) or with typical development. Compared to the group with typical development, children with ASD exhibited significantly greater levels of psychopathology as assessed by the Child Behavior Checklist [Achenbach, 1991], and parents of children with ASD exhibited higher parenting stress as assessed by the Parenting Stress Index [Abidin, 1995]. In a hierarchical multiple regression analysis, parenting stress emerged as the most important predictor of children’s I-E problems. Results are discussed in light of the two groups’ similar relationships between parenting stress and child psychopathology. PMID:20575109

Visual feature extraction from voxel-weighted averaging of stimulus images in 2 fMRI studies.

PubMed

Hart, Corey B; Rose, William J

2013-11-01

Multiple studies have provided evidence for distributed object representation in the brain, with several recent experiments leveraging basis function estimates for partial image reconstruction from fMRI data. Using a novel combination of statistical decomposition, generalized linear models, and stimulus averaging on previously examined image sets and Bayesian regression of recorded fMRI activity during presentation of these data sets, we identify a subset of relevant voxels that appear to code for covarying object features. Using a technique we term "voxel-weighted averaging," we isolate image filters that these voxels appear to implement. The results, though very cursory, appear to have significant implications for hierarchical and deep-learning-type approaches toward the understanding of neural coding and representation.

Using Refined Regression Analysis To Assess The Ecological Services Of Restored Wetlands

EPA Science Inventory

A hierarchical approach to regression analysis of wetland water treatment was conducted to determine which factors are the most appropriate for characterizing wetlands of differing structure and function. We used this approach in an effort to identify the types and characteristi...

A Hierarchical Modeling Approach to Data Analysis and Study Design in a Multi-Site Experimental fMRI Study

ERIC Educational Resources Information Center

Zhou, Bo; Konstorum, Anna; Duong, Thao; Tieu, Kinh H.; Wells, William M.; Brown, Gregory G.; Stern, Hal S.; Shahbaba, Babak

2013-01-01

We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model…

A Machine Learning Framework for Plan Payment Risk Adjustment.

PubMed

Rose, Sherri

2016-12-01

To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment. 2011-2012 Truven MarketScan database. We compare the performance of multiple statistical approaches within a broad machine learning framework for estimation of risk adjustment formulas. Total annual expenditure was predicted using age, sex, geography, inpatient diagnoses, and hierarchical condition category variables. The methods included regression, penalized regression, decision trees, neural networks, and an ensemble super learner, all in concert with screening algorithms that reduce the set of variables considered. The performance of these methods was compared based on cross-validated R 2 . Our results indicate that a simplified risk adjustment formula selected via this nonparametric framework maintains much of the efficiency of a traditional larger formula. The ensemble approach also outperformed classical regression and all other algorithms studied. The implementation of cross-validated machine learning techniques provides novel insight into risk adjustment estimation, possibly allowing for a simplified formula, thereby reducing incentives for increased coding intensity as well as the ability of insurers to "game" the system with aggressive diagnostic upcoding. © Health Research and Educational Trust.

Hierarchical cluster-based partial least squares regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models.

PubMed

Tøndel, Kristin; Indahl, Ulf G; Gjuvsland, Arne B; Vik, Jon Olav; Hunter, Peter; Omholt, Stig W; Martens, Harald

2011-06-01

Deterministic dynamic models of complex biological systems contain a large number of parameters and state variables, related through nonlinear differential equations with various types of feedback. A metamodel of such a dynamic model is a statistical approximation model that maps variation in parameters and initial conditions (inputs) to variation in features of the trajectories of the state variables (outputs) throughout the entire biologically relevant input space. A sufficiently accurate mapping can be exploited both instrumentally and epistemically. Multivariate regression methodology is a commonly used approach for emulating dynamic models. However, when the input-output relations are highly nonlinear or non-monotone, a standard linear regression approach is prone to give suboptimal results. We therefore hypothesised that a more accurate mapping can be obtained by locally linear or locally polynomial regression. We present here a new method for local regression modelling, Hierarchical Cluster-based PLS regression (HC-PLSR), where fuzzy C-means clustering is used to separate the data set into parts according to the structure of the response surface. We compare the metamodelling performance of HC-PLSR with polynomial partial least squares regression (PLSR) and ordinary least squares (OLS) regression on various systems: six different gene regulatory network models with various types of feedback, a deterministic mathematical model of the mammalian circadian clock and a model of the mouse ventricular myocyte function. Our results indicate that multivariate regression is well suited for emulating dynamic models in systems biology. The hierarchical approach turned out to be superior to both polynomial PLSR and OLS regression in all three test cases. The advantage, in terms of explained variance and prediction accuracy, was largest in systems with highly nonlinear functional relationships and in systems with positive feedback loops. HC-PLSR is a promising approach for metamodelling in systems biology, especially for highly nonlinear or non-monotone parameter to phenotype maps. The algorithm can be flexibly adjusted to suit the complexity of the dynamic model behaviour, inviting automation in the metamodelling of complex systems.

Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models

PubMed Central

2011-01-01

Background Deterministic dynamic models of complex biological systems contain a large number of parameters and state variables, related through nonlinear differential equations with various types of feedback. A metamodel of such a dynamic model is a statistical approximation model that maps variation in parameters and initial conditions (inputs) to variation in features of the trajectories of the state variables (outputs) throughout the entire biologically relevant input space. A sufficiently accurate mapping can be exploited both instrumentally and epistemically. Multivariate regression methodology is a commonly used approach for emulating dynamic models. However, when the input-output relations are highly nonlinear or non-monotone, a standard linear regression approach is prone to give suboptimal results. We therefore hypothesised that a more accurate mapping can be obtained by locally linear or locally polynomial regression. We present here a new method for local regression modelling, Hierarchical Cluster-based PLS regression (HC-PLSR), where fuzzy C-means clustering is used to separate the data set into parts according to the structure of the response surface. We compare the metamodelling performance of HC-PLSR with polynomial partial least squares regression (PLSR) and ordinary least squares (OLS) regression on various systems: six different gene regulatory network models with various types of feedback, a deterministic mathematical model of the mammalian circadian clock and a model of the mouse ventricular myocyte function. Results Our results indicate that multivariate regression is well suited for emulating dynamic models in systems biology. The hierarchical approach turned out to be superior to both polynomial PLSR and OLS regression in all three test cases. The advantage, in terms of explained variance and prediction accuracy, was largest in systems with highly nonlinear functional relationships and in systems with positive feedback loops. Conclusions HC-PLSR is a promising approach for metamodelling in systems biology, especially for highly nonlinear or non-monotone parameter to phenotype maps. The algorithm can be flexibly adjusted to suit the complexity of the dynamic model behaviour, inviting automation in the metamodelling of complex systems. PMID:21627852

Notes sur les mouvements recursifs (Notes on Regressive Moves).

ERIC Educational Resources Information Center

Auchlin, Antoine; And Others

1981-01-01

Examines the phenomenon of regressive moves (retro-interpretation) in the light of a hypothesis according to which the formation of complex and hierarchically organized conversation units is subordinated to the linearity of discourse. Analyzes a transactional exchange, describing the interplay of integration, anticipation, and retro-interpretation…

Underage drinking: prevalence and risk factors associated with drinking experiences among Argentinean children.

PubMed

Pilatti, Angelina; Godoy, Juan Carlos; Brussino, Silvina; Pautassi, Ricardo Marcos

2013-06-01

The aim of this study was to describe the prevalence and predictors of alcohol drinking behavior in children. Data were obtained from 367 children, aged 8-12 years (M = 10.44 years, SD = 1.21 years; 61.9% female) from the city of Córdoba, Argentina. Several scales were used to assess risk factors, including personality traits, alcohol expectancy (i.e., beliefs about the consequences of using alcohol), and perceived peer alcohol use, for alcohol drinking and alcohol drinking experiences. Hierarchical regression analysis was used to determine the contribution of multiple risk factors to the quantity of alcohol consumed. The results showed that 58% of the children had tasted alcohol, and approximately one-third drank alcohol again after the first drinking experience. Twelve-year-old children had a significantly higher prevalence of tasting and drinking alcohol and a significantly greater frequency and quantity of alcohol consumed than younger children. Eighty percent of the children who liked alcohol during their first drinking experience reported that they drank alcohol again. Among the children who did not like alcohol during their first drinking experience, only 31% drank alcohol again. Underage drinking usually occurred under adult supervision in family settings when parents or other relatives allowed them to drink or were aware of their children's drinking. The hierarchical regression analysis showed that being older and male, having more peers that drink alcohol, having higher levels of extroversion, and having alcohol expectancy for social facilitation increased the risk for greater alcohol use. The final model explained 33% of the total variance. Copyright © 2013 Elsevier Inc. All rights reserved.

Temperament and job stress in Japanese company employees.

PubMed

Sakai, Y; Akiyama, T; Miyake, Y; Kawamura, Y; Tsuda, H; Kurabayashi, L; Tominaga, M; Noda, T; Akiskal, K; Akiskal, H

2005-03-01

This study aims to demonstrate the relevance of temperament to job stress. The subjects were 848 male and 366 female Japanese company employees. Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Autoquestionnaire version (TEMPS-A) and Munich Personality Test (MPT) were administered to assess temperaments, and the NIOSH Generic Job Stress Questionnaire (GJSQ) to assess job stress. We used hierarchical multiple linear regression analysis in order to demonstrate whether temperament variables added any unique variance after controlling the effects of other predictors such as gender, age and job rank. In all subscales of the GJSQ, temperament predicted a large share of the variance in job stress. Remarkably, for interpersonal relationship stressors, the temperament variables added greater variance than that predicted by gender, age and job rank. Summary of the hierarchical linear regression analysis showed that the irritable temperament was associated with the most prominent vulnerability, followed by cyclothymic and anxious temperaments. The schizoid temperament had difficulty in the area of social support. On the other hand, the hyperthymic temperament displayed significant robustness in facing most job stressors; the melancholic type showed a similar pattern to a lesser degree. The findings may be different in a clinical Japanese sample, or a cohort of healthy employees from a different cultural background. Temperament influences job stress significantly-indeed, it impacts on such stress with greater magnitude than age, gender and job rank in most areas examined. Temperament influences interpersonal relationship stressors more than workload-related stressors. Interestingly, in line with previous clinical and theoretical formulations, the hyperthymic and melancholic types actually appear to be "hyper-adapted" to the workplace.

CHILDHOOD DEPRESSION. Exploring the association between family violence and other psychosocial factors in low-income Brazilian schoolchildren

PubMed Central

2012-01-01

Background Childhood depression affects the morbidity, mortality and life functions of children. Individual, family and environmental factors have been documented as psychosocial risk factors for childhood depression, especially family violence, which results in inadequate support, low family cohesion and poor communication. This study investigates the association between psychosocial depression factors in low-income schoolchildren and reveals the potential trouble spots, highlighting several forms of violence that take place within the family context. Methods The study was based on a cross-sectional analysis of 464 schoolchildren aged between 6 and 10, selected by random sampling from a city in the state of Rio de Janeiro, Brazil. Socio-economic, family and individual variables were investigated on the strength of the caregivers’ information and organized in blocks for analysis. A binary logistic regression model was applied, according to hierarchical blocks. Results The final hierarchical regression analysis showed that the following variables are potential psychosocial factors associated with depression in childhood: average/poor relationship with the father (OR 3.24, 95% CI 1.32-7.94), high frequency of victimization by psychological violence (humiliation) (OR 6.13, 95% CI 2.06-18.31), parental divorce (OR 2.89, 95% CI 1.14-7.32) and externalizing behavior problems (OR 3.53 IC 1.51-8.23). Conclusions The results point to multiple determinants of depressive behavior in children, as well as the potential contribution of psychological family violence. The study also reveals potential key targets for early intervention, especially for children from highly vulnerable families. PMID:22776354

Parental fatigue and parenting practices during early childhood: an Australian community survey.

PubMed

Cooklin, A R; Giallo, R; Rose, N

2012-09-01

Parenting behaviours are influenced by a range of factors, including parental functioning. Although common, the influence of parental fatigue on parenting practices is not known. The first aim of this study was to investigate the relationship between fatigue and parenting practices. The second aim was to identify parental psychosocial factors significantly associated with fatigue. A sample of 1276 Australian parents, of at least one child aged 0-5 years, completed a survey. Demographic, psychosocial (social support, coping responses) and parental sleep and self-care information was collected. Hierarchical regression was performed to assess the contribution of fatigue (modified Fatigue Assessment Scale) to parental practices (warmth, irritability and involvement), and parenting experiences (Parenting Stress Index, Parenting Sense of Competence Scale). Hierarchical multiple regression assessed the contribution of a range of parental sleep, psychosocial (social support, coping responses) and self-care variables to fatigue when demographic characteristics were held constant. Higher fatigue was significantly associated with lower parental competence (β=-0.17, P < 0.005), greater parenting stress (β= 0.21, P < 0.005) and more irritability in parent-child interactions (β= 0.11, P < 0.005). Several psychosocial characteristics were associated with higher parental fatigue, including inadequate social support, poorer diet, poorer sleep quality and ineffective coping styles including self-blame and behaviour disengagement. Fatigue is common, and results suggest that fatigue contributes to adverse parental practices and experiences. However, possible risk factors for higher fatigue were identified in this study, indicating opportunities for intervention, management and support for parents. © 2011 Blackwell Publishing Ltd.

Leadership styles across hierarchical levels in nursing departments.

PubMed

Stordeur, S; Vandenberghe, C; D'hoore, W

2000-01-01

Some researchers have reported on the cascading effect of transformational leadership across hierarchical levels. One study examined this effect in nursing, but it was limited to a single hospital. To examine the cascading effect of leadership styles across hierarchical levels in a sample of nursing departments and to investigate the effect of hierarchical level on the relationships between leadership styles and various work outcomes. Based on a sample of eight hospitals, the cascading effect was tested using correlation analysis. The main sources of variation among leadership scores were determined with analyses of variance (ANOVA), and the interaction effect of hierarchical level and leadership styles on criterion variables was tested with moderated regression analysis. No support was found for a cascading effect of leadership across hierarchical levels. Rather, the variation of leadership scores was explained primarily by the organizational context. Transformational leadership had a stronger impact on criterion variables than transactional leadership. Interaction effects between leadership styles and hierarchical level were observed only for perceived unit effectiveness. The hospital's structure and culture are major determinants of leadership styles.

The influence of demographics and working conditions on self-reported injuries among Latino day laborers

PubMed Central

Fernández-Esquer, Maria Eugenia; Fernández-Espada, Natalie; Atkinson, John A; Montano, Cecilia F

2015-01-01

Background: The majority of day laborers in the USA are Latinos. They are engaged in high-risk occupations and suffer high occupational injury rates. Objectives: To describe on-the-job injuries reported by Latino day laborers, explore the extent that demographic and occupational factors predict injuries, and whether summative measures for total job types, job conditions, and personal protective equipment (PPE) predict injuries. Methods: A community survey was conducted with 327 participants at 15 corners in Houston, Texas. Hierarchical and multiple logistic regressions explored predictors of occupational injury odds in the last year. Results: Thirty-four percent of respondents reported an occupational injury in the previous year. Education, exposure to loud noises, cold temperatures, vibrating machinery, use of hard hats, total number of job conditions, and total PPE significantly predicted injury odds. Conclusion: Risk for injury among day laborers is not only the product of a specific hazard, but also the result of their exposure to multiple occupational hazards. PMID:25291983

The relationship between spiritual well-being and health-related quality of life in college students.

PubMed

Anye, Ernest Tamanji; Gallien, Tara L; Bian, Hui; Moulton, Michael

2013-01-01

This study investigated the relationship between spiritual well-being (SWB) and various aspects of health-related quality of life (HRQL) of college students. Two hundred twenty-five participants were surveyed during October 2010 to assess SWB and HRQL using the Spiritual Well-Being Scale and questions from the Centers for Disease Control and Prevention's scale for HRQL, respectively. Hierarchical multiple linear regression analyses tested the relationship between SWB and multiple measures of HRQL while controlling for sex, age, and race. Participants who reported higher SWB scores were more likely to participate in religious-type activities and report better HRQL compared with students who reported a moderate sense of SWB. Jointly, SWB and participation in religious activities explained 18% of the variance in HQRL in this sample. SWB made a significant contribution to HRQL in a sample of college students. Such a relationship should be considered by campus health program planners to improve the quality of life of young adults.

Predictors of health-related quality of life among low-income midlife women.

PubMed

Ham, Ok Kyung

2011-02-01

The purpose of this study was to determine whether any of the sociodemographic, biomedical, psychosocial, and medical-care factors independently predict health-related quality of life (HRQoL) among low-income women. Cross-sectional data were used to predict factors that determine HRQoL. A survey was conducted targeting a convenience sample of 200 midlife women. Blood samples were drawn from all participants, who also received a physical examination. Hierarchical multiple regression analysis was used to test the independent effects of each factor. The study found that sociodemographic and psychosocial factors were independently associated with HRQoL. Compared to married women, widowed or divorced women had significantly lower HRQoL, whereas those with higher levels of stress perception and those not performing regular exercise had significantly lower HRQoL (p < .01). The full model accounted for 44.7% of the variance in HRQoL. The HRQoL of low-income midlife women was associated with multiple factors, with stress perception exerting the major influence.

Serotonin transporter gene and childhood trauma--a G × E effect on anxiety sensitivity.

PubMed

Klauke, Benedikt; Deckert, Jürgen; Reif, Andreas; Pauli, Paul; Zwanzger, Peter; Baumann, Christian; Arolt, Volker; Glöckner-Rist, Angelika; Domschke, Katharina

2011-12-21

Genetic factors and environmental factors are assumed to interactively influence the pathogenesis of anxiety disorders. Thus, a gene-environment interaction (G × E) study was conducted with respect to anxiety sensitivity (AS) as a promising intermediate phenotype of anxiety disorders. Healthy subjects (N = 363) were assessed for AS, childhood maltreatment (Childhood Trauma Questionnaire), and genotyped for functional serotonin transporter gene variants (5-HTTLPR/5-HTT rs25531). The influence of genetic and environmental variables on AS and its subdimensions was determined by a step-wise hierarchical regression and a multiple indicator multiple cause (MIMIC) model. A significant G × E effect of the more active 5-HTT genotypes and childhood maltreatment on AS was observed. Furthermore, genotype (LL)-childhood trauma interaction particularly influenced somatic AS subdimensions, whereas cognitive subdimensions were affected by childhood maltreatment only. Results indicate a G × E effect of the more active 5-HTT genotypes and childhood maltreatment on AS, with particular impact on its somatic subcomponent. © 2011 Wiley Periodicals, Inc.

Self-esteem is associated with perceived stress in multiple sclerosis patients.

PubMed

N Ifantopoulou, Parthena; K Artemiadis, Artemios; Triantafyllou, Nikolaos; Chrousos, George; Papanastasiou, Ioannis; Darviri, Christina

2015-07-01

Previous studies have showed that perceived stress (PS) in patients with multiple sclerosis (MS) constitutes an important factor for disease onset, relapse, symptomatology and psychological adjustment. The aim of this pilot cross-sectional study was to examine the role of self-esteem in PS, after controlling for sociodemographical characteristics, depression and personality in MS patients. Sixty-six relapsing-remitting MS patients (66.67% females, mean age of 40 ± 11.1 years old, mean duration of disease 133.6 ± 128.8 months) were studied. Perceived stress, self-esteem, depression and personality type were assessed using self-administered questionnaires. Hierarchical multivariate regression modelling was used. Higher education and depression and lower self-esteem were independently and significantly associated with increased PS, accounting for 40.5% of its variance. Univariate analyses revealed that low extroversion and openness and higher neurotism were associated with higher PS, although no significant after adjusting for other factors. Although our findings need further confirmation, psychological interventions targetting self-esteem are strongly encouraged.

A hierarchical-multiobjective framework for risk management

NASA Technical Reports Server (NTRS)

Haimes, Yacov Y.; Li, Duan

1991-01-01

A broad hierarchical-multiobjective framework is established and utilized to methodologically address the management of risk. United into the framework are the hierarchical character of decision-making, the multiple decision-makers at separate levels within the hierarchy, the multiobjective character of large-scale systems, the quantitative/empirical aspects, and the qualitative/normative/judgmental aspects. The methodological components essentially consist of hierarchical-multiobjective coordination, risk of extreme events, and impact analysis. Examples of applications of the framework are presented. It is concluded that complex and interrelated forces require an analysis of trade-offs between engineering analysis and societal preferences, as in the hierarchical-multiobjective framework, to successfully address inherent risk.

Decomposition and extraction: a new framework for visual classification.

PubMed

Fang, Yuqiang; Chen, Qiang; Sun, Lin; Dai, Bin; Yan, Shuicheng

2014-08-01

In this paper, we present a novel framework for visual classification based on hierarchical image decomposition and hybrid midlevel feature extraction. Unlike most midlevel feature learning methods, which focus on the process of coding or pooling, we emphasize that the mechanism of image composition also strongly influences the feature extraction. To effectively explore the image content for the feature extraction, we model a multiplicity feature representation mechanism through meaningful hierarchical image decomposition followed by a fusion step. In particularly, we first propose a new hierarchical image decomposition approach in which each image is decomposed into a series of hierarchical semantical components, i.e, the structure and texture images. Then, different feature extraction schemes can be adopted to match the decomposed structure and texture processes in a dissociative manner. Here, two schemes are explored to produce property related feature representations. One is based on a single-stage network over hand-crafted features and the other is based on a multistage network, which can learn features from raw pixels automatically. Finally, those multiple midlevel features are incorporated by solving a multiple kernel learning task. Extensive experiments are conducted on several challenging data sets for visual classification, and experimental results demonstrate the effectiveness of the proposed method.

Secular dynamics of hierarchical multiple systems composed of nested binaries, with an arbitrary number of bodies and arbitrary hierarchical structure - II. External perturbations: flybys and supernovae

NASA Astrophysics Data System (ADS)

Hamers, Adrian S.

2018-05-01

We extend the formalism of a previous paper to include the effects of flybys and instantaneous perturbations such as supernovae on the long-term secular evolution of hierarchical multiple systems with an arbitrary number of bodies and hierarchy, provided that the system is composed of nested binary orbits. To model secular encounters, we expand the Hamiltonian in terms of the ratio of the separation of the perturber with respect to the barycentre of the multiple system, to the separation of the widest orbit. Subsequently, we integrate over the perturber orbit numerically or analytically. We verify our method for secular encounters and illustrate it with an example. Furthermore, we describe a method to compute instantaneous orbital changes to multiple systems, such as asymmetric supernovae and impulsive encounters. The secular code, with implementation of the extensions described in this paper, is publicly available within AMUSE, and we provide a number of simple example scripts to illustrate its usage for secular and impulsive encounters and asymmetric supernovae. The extensions presented in this paper are a next step towards efficiently modelling the evolution of complex multiple systems embedded in star clusters.

Modeling Heterogeneity in Relationships between Initial Status and Rates of Change: Latent Variable Regression in a Three-Level Hierarchical Model. CSE Report 647

ERIC Educational Resources Information Center

Choi, Kilchan; Seltzer, Michael

2005-01-01

In studies of change in education and numerous other fields, interest often centers on how differences in the status of individuals at the start of a time period of substantive interest relate to differences in subsequent change. This report presents a fully Bayesian approach to estimating three-level hierarchical models in which latent variable…

The effects of normal aging on multiple aspects of financial decision-making.

PubMed

Bangma, Dorien F; Fuermaier, Anselm B M; Tucha, Lara; Tucha, Oliver; Koerts, Janneke

2017-01-01

Financial decision-making (FDM) is crucial for independent living. Due to cognitive decline that accompanies normal aging, older adults might have difficulties in some aspects of FDM. However, an improved knowledge, personal experience and affective decision-making, which are also related to normal aging, may lead to a stable or even improved age-related performance in some other aspects of FDM. Therefore, the present explorative study examines the effects of normal aging on multiple aspects of FDM. One-hundred and eighty participants (range 18-87 years) were assessed with eight FDM tests and several standard neuropsychological tests. Age effects were evaluated using hierarchical multiple regression analyses. The validity of the prediction models was examined by internal validation (i.e. bootstrap resampling procedure) as well as external validation on another, independent, sample of participants (n = 124). Multiple regression and correlation analyses were applied to investigate the mediation effect of standard measures of cognition on the observed effects of age on FDM. On a relatively basic level of FDM (e.g., paying bills or using FDM styles) no significant effects of aging were found. However more complex FDM, such as making decisions in accordance with specific rules, becomes more difficult with advancing age. Furthermore, an older age was found to be related to a decreased sensitivity for impulsive buying. These results were confirmed by the internal and external validation analyses. Mediation effects of numeracy and planning were found to explain parts of the association between one aspect of FDM (i.e. Competence in decision rules) and age; however, these cognitive domains were not able to completely explain the relation between age and FDM. Normal aging has a negative influence on a complex aspect of FDM, however, other aspects appear to be unaffected by normal aging or improve.

Assessment of Differential Item Functioning in Health-Related Outcomes: A Simulation and Empirical Analysis with Hierarchical Polytomous Data

PubMed Central

Sharafi, Zahra

2017-01-01

Background The purpose of this study was to evaluate the effectiveness of two methods of detecting differential item functioning (DIF) in the presence of multilevel data and polytomously scored items. The assessment of DIF with multilevel data (e.g., patients nested within hospitals, hospitals nested within districts) from large-scale assessment programs has received considerable attention but very few studies evaluated the effect of hierarchical structure of data on DIF detection for polytomously scored items. Methods The ordinal logistic regression (OLR) and hierarchical ordinal logistic regression (HOLR) were utilized to assess DIF in simulated and real multilevel polytomous data. Six factors (DIF magnitude, grouping variable, intraclass correlation coefficient, number of clusters, number of participants per cluster, and item discrimination parameter) with a fully crossed design were considered in the simulation study. Furthermore, data of Pediatric Quality of Life Inventory™ (PedsQL™) 4.0 collected from 576 healthy school children were analyzed. Results Overall, results indicate that both methods performed equivalently in terms of controlling Type I error and detection power rates. Conclusions The current study showed negligible difference between OLR and HOLR in detecting DIF with polytomously scored items in a hierarchical structure. Implications and considerations while analyzing real data were also discussed. PMID:29312463

Assessment of Differential Item Functioning in Health-Related Outcomes: A Simulation and Empirical Analysis with Hierarchical Polytomous Data.

PubMed

Sharafi, Zahra; Mousavi, Amin; Ayatollahi, Seyyed Mohammad Taghi; Jafari, Peyman

2017-01-01

The purpose of this study was to evaluate the effectiveness of two methods of detecting differential item functioning (DIF) in the presence of multilevel data and polytomously scored items. The assessment of DIF with multilevel data (e.g., patients nested within hospitals, hospitals nested within districts) from large-scale assessment programs has received considerable attention but very few studies evaluated the effect of hierarchical structure of data on DIF detection for polytomously scored items. The ordinal logistic regression (OLR) and hierarchical ordinal logistic regression (HOLR) were utilized to assess DIF in simulated and real multilevel polytomous data. Six factors (DIF magnitude, grouping variable, intraclass correlation coefficient, number of clusters, number of participants per cluster, and item discrimination parameter) with a fully crossed design were considered in the simulation study. Furthermore, data of Pediatric Quality of Life Inventory™ (PedsQL™) 4.0 collected from 576 healthy school children were analyzed. Overall, results indicate that both methods performed equivalently in terms of controlling Type I error and detection power rates. The current study showed negligible difference between OLR and HOLR in detecting DIF with polytomously scored items in a hierarchical structure. Implications and considerations while analyzing real data were also discussed.

Hierarchically organized architecture of potassium hydrogen phthalate and poly(acrylic acid): toward a general strategy for biomimetic crystal design.

PubMed

Oaki, Yuya; Imai, Hiroaki

2005-12-28

A hierarchically organized architecture in multiple scales was generated from potassium hydrogen phthalate crystals and poly(acrylic acid) based on our novel biomimetic approach with an exquisite association of polymers on crystallization.

Examining the Associations Among Home-School Dissonance, Amotivation, and Classroom Disruptive Behavior for Urban High School Students.

PubMed

Brown-Wright, Lynda; Tyler, Kenneth M; Graves, Scott L; Thomas, Deneia; Stevens-Watkins, Danelle; Mulder, Shambra

2013-01-01

The current study examined the association among home-school dissonance, amotivation, and classroom disruptive behavior among 309 high school juniors and seniors at two urban high schools in the Southern region of the country. Students completed two subscales of the Patterns of Learning Activities Scales (PALS) and one subscale of the Academic Motivation Scale (AMS). ANCOVA analyses revealed significant differences in classroom disruptive behaviors for the gender independent variable. Controlling for gender in the multiple hierarchical regression analyses, it was revealed that home-school dissonance significantly predicted both amotivation and classroom disruptive behavior. In addition, a Sobel mediation analysis showed that amotivation was a significant mediator of the association between home-school dissonance and classroom disruptive behavior. Findings and limitations are discussed.

Examining the Associations Among Home–School Dissonance, Amotivation, and Classroom Disruptive Behavior for Urban High School Students

PubMed Central

Brown-Wright, Lynda; Tyler, Kenneth M.; Graves, Scott L.; Thomas, Deneia; Stevens-Watkins, Danelle; Mulder, Shambra

2015-01-01

The current study examined the association among home–school dissonance, amotivation, and classroom disruptive behavior among 309 high school juniors and seniors at two urban high schools in the Southern region of the country. Students completed two subscales of the Patterns of Learning Activities Scales (PALS) and one subscale of the Academic Motivation Scale (AMS). ANCOVA analyses revealed significant differences in classroom disruptive behaviors for the gender independent variable. Controlling for gender in the multiple hierarchical regression analyses, it was revealed that home–school dissonance significantly predicted both amotivation and classroom disruptive behavior. In addition, a Sobel mediation analysis showed that amotivation was a significant mediator of the association between home–school dissonance and classroom disruptive behavior. Findings and limitations are discussed. PMID:27081213

Roles of Perceived Motivational Climates Created by Coach, Peer, and Parent on Dispositional Flow in Young Athletes.

PubMed

Çağlar, Emine; Aşçi, F Hülya; Uygurtaş, Murat

2017-04-01

We investigated the contribution of perceived motivational climates created by coach, peer, and parent on the dispositional flow experience of young athletes. Eighty-six female ( M age  = 14.24, SD = 1.38 years) and 134 male ( M age  = 16.28, SD = 1.17 years) athletes completed questionnaires of perceived motivational climates created by coach, peer, and parent and the Dispositional Flow Scale-2. Results of hierarchical multiple regression analyses indicated that perceived task-involving coach (β = .40, p < .001) and peer (β = .28, p < .002) motivational climates were the only significant predictors of dispositional flow. These findings suggest that task-involving motivational climates should be strengthened to increase experience of flow.

[The moderating effect of self-esteem on the relationship between public self-consciousness, social anxiety and exhibitionism in Japan and South Korea].

PubMed

Cho, Sunyoung; Matsumoto, Yoshiyuki; Kimura, Hiroshi

2009-10-01

This study examined the moderating effect of self-esteem on the relationship between public self-consciousness and social anxiety, and on the relationship between public self-consciousness and exhibitionism in Japan and South Korea. The participants were 213 university students in Japan and 234 university students in Korea. The results of hierarchical multiple regression analyses showed that self-esteem was a moderator of the relationship between public self-consciousness and social anxiety and of the relationship between public self-consciousness and exhibitionism in Korea, but not in Japan. In Korea, public self-consciousness was related to social anxiety for people with low self-esteem, while for people with high self-esteem, public self-consciousness was related to exhibitionism.

Sportsmanship in young athletes: the role of competitiveness, motivational orientation, and perceived purposes of sport.

PubMed

Ryska, Todd A

2003-05-01

The purpose of the study was to evaluate measures of competitiveness, motivational orientation, and perceived purposes of participation as predictors of sportsmanship in a sample of 319 young participants in sports. Hierarchical regression analyses indicated that intrinsic reasons for sports participation, such as enhanced self-esteem and task mastery, predicted higher levels on multiple dimensions of sportsmanship, above and beyond the influence of competitiveness, motivational orientation, and various demographic variables. In contrast, extrinsic purposes for participation in sports, such as to obtain social status and a high-status career, contributed to lower levels on 3 of the 4 sportsmanship dimensions. These results are discussed with regard to developing a competitive sport setting that promotes ethical standards of interpersonal behavior for young participants in sports.

The Relationship Between Gratitude and Loneliness: The Potential Benefits of Gratitude for Promoting Social Bonds.

PubMed

Caputo, Andrea

2015-05-01

This paper explores the potential role of gratitude on the reduction of loneliness feelings, even controlling for several variables related to social desirability, well-being (subjective happiness and life satisfaction) and socio-demographic characteristics. Through a web-based survey a convenience sample of 197 participants completed an online questionnaire including these measures. Correlation analyses and four-step hierarchical multiple regression analyses were conducted. The results show a negative correlation between gratitude and loneliness; specifically, gratitude succeeds in accounting for up to almost one-fifth of the total variability of loneliness even controlling for further variables. Being female, not having a stable and consolidated relationship and not participating in the labor force represent some risk factors affecting loneliness which should be taken into account in further research.

The Relationship Between Gratitude and Loneliness: The Potential Benefits of Gratitude for Promoting Social Bonds

PubMed Central

Caputo, Andrea

2015-01-01

This paper explores the potential role of gratitude on the reduction of loneliness feelings, even controlling for several variables related to social desirability, well-being (subjective happiness and life satisfaction) and socio-demographic characteristics. Through a web-based survey a convenience sample of 197 participants completed an online questionnaire including these measures. Correlation analyses and four-step hierarchical multiple regression analyses were conducted. The results show a negative correlation between gratitude and loneliness; specifically, gratitude succeeds in accounting for up to almost one-fifth of the total variability of loneliness even controlling for further variables. Being female, not having a stable and consolidated relationship and not participating in the labor force represent some risk factors affecting loneliness which should be taken into account in further research. PMID:27247660

THE ROLE OF CONSUMER VALUES AND SOCIO-DEMOGRAPHICS IN GREEN PRODUCT SATISFACTION: THE CASE OF HYBRID CARS.

PubMed

Hur, Won-Moo; Woo, Jeong; Kim, Yeonshin

2015-10-01

This study investigated the relationship between consumer value and customer satisfaction, seeking a better understanding of the motivations underlying "green product" purchases. Based on the influence of demographic factors, it further explores the moderation effects of buyers' socio-demographics on the link between value and satisfaction. Data were collected through a mail survey of American hybrid car buyers. Consumer value, satisfaction, and socio-demographic information were measured, and the proposed relationships among them were tested using hierarchical multiple regression analysis. This study's findings reveal that values (i.e., functional and social) significantly impact hybrid satisfaction and that the effects vary by sex and age. This research provides insight into the motivations of green product purchases by incorporating important consumer characteristics.

Temperament, Beliefs About Pain Control, and Pain Intensity in Endometriosis Patients.

PubMed

Bylinka, Joanna; Oniszczenko, Włodzimierz

2016-12-01

This correlational study investigated the relationships between temperament, beliefs about pain control, and pain intensity ratings in a group of 103 women diagnosed with endometriosis. Temperament traits were assessed using the Formal Characteristics of Behaviour-Temperament Inventory. Beliefs about pain control were measured using the Polish version of the Beliefs about Pain Control Questionnaire. The Numerical Rating Scale (NRS-11) was used to measure pain intensity. There was a high negative correlation between the temperament trait of endurance and pain intensity ratings. Moderate negative correlations with pain intensity were found for internal beliefs about pain control. Hierarchical multiple regression analysis indicated that the endurance trait and internal beliefs about pain control accounted for 33 % of the variance in pain intensity ratings in women with endometriosis.

Pursuit of STEM: Factors shaping degree completion for African American females in STEM

NASA Astrophysics Data System (ADS)

Wilkins, Ashlee N.

The primary purpose of the study was to examine secondary data from the Cooperative Institutional Research Program (CIRP) Freshman and College Senior Surveys to investigate factors shaping degree aspirations for African American female undergraduates partaking in science, technology, engineering, and mathematics (STEM) majors. Hierarchical multiple regression was used to analyze the data and identify relationships between independent variables in relation to the dependent variable. The findings of the study reveal four key variables that were predictive of degree completion for African American females in STEM. Father's education, SAT composite, highest degree planned, and self-perception were positive predictors for females; while independent variable overall sense of community among students remained a negative predictor. Lastly implications for education and recommendations for future research were discussed.

Relationship between boys' normative beliefs about aggression and their physical, verbal, and indirect aggressive behaviors.

PubMed

Lim, Si Huan; Ang, Rebecca P

2009-01-01

This study examined the contribution of general normative beliefs about aggression and specific normative beliefs about retaliatory aggression in predicting physical, verbal, and indirect aggressive behaviors. Two hundred and forty-nine Grade 4 and Grade 5 boys completed the Normative Beliefs about Aggression Scale (NOBAGS) and provided self-reports on the frequency of their physical, verbal, and indirect aggressive behaviors. A series of hierarchical multiple regression analyses revealed that general normative beliefs about aggression contributed significantly in predicting all three types of aggressive behaviors. When general normative beliefs about aggression were controlled for, specific normative beliefs about retaliatory aggression against males but not specific normative beliefs about retaliatory aggression against females, contributed significantly to predict physical, verbal, and indirect aggressive behaviors. Implications for intervention programs are discussed.

Perceived racism and alcohol consequences among African American and Caucasian college students.

PubMed

Grekin, Emily R

2012-12-01

Few studies have assessed relationships between perceived racism, racism-related stress, and alcohol problems. The current study examined these relationships within the context of tension reduction models of alcohol consumption. Participants were 94 African American and 189 Caucasian college freshmen who completed an online survey assessing perceived racism, alcohol consequences, alcohol consumption, negative affect, and deviant behavior. Hierarchical multiple regressions indicated that racism-related stress predicted alcohol consequences for both African American and Caucasian college students, even after controlling for alcohol consumption, negative affect, and behavioral deviance. The frequency of racist events predicted alcohol consequences for Caucasian but not African American students. These findings highlight the need to address racism and racism-related stress in college-based alcohol prevention and intervention efforts. 2013 APA, all rights reserved

Condom Use With a Casual Partner: What Distinguishes College Students' Use When Intoxicated?

PubMed Central

Abbey, Antonia; Parkhill, Michele R.; Buck, Philip O.; Saenz, Christopher

2015-01-01

Determining alcohol's precise role in sexual risk taking has proven to be an elusive goal. Past research has produced mixed results, depending on characteristics of individuals, their partners, and the situation, as well as how the link between alcohol consumption and sexual behavior was assessed. In this study, cross-sectional predictors of the frequency of condom use were examined for 298 heterosexual college students at a large urban university. In hierarchical multiple regression analyses that controlled for frequency of condom use when sober, alcohol expectancies regarding sexual risk taking and self-efficacy regarding condom use when intoxicated were significant predictors of frequency of condom use when intoxicated. These findings highlight the importance of targeting beliefs about alcohol's disinhibiting effects in STD- and HIV-prevention programs. PMID:17385957

Couples at risk for transmission of alcoholism: protective influences.

PubMed

Bennett, L A; Wolin, S J; Reiss, D; Teitelbaum, M A

1987-03-01

A two-generation, sociocultural model of the transmission of alcoholism in families was operationalized and tested. Sixty-eight married children of alcoholic parents and their spouses were interviewed regarding dinner-time and holiday ritual practices in their families of origin, and heritage and ritual practices in the couples' current generation. Coders rated transcribed interviews along 14 theory-derived predictor variables, nine for the family of origin and five for the current nuclear family. Multiple regression analysis was applied in a two-step hierarchical method, with the dependent variable being transmission of alcoholism to the couple. The 14 predictor variables contributed significantly (p less than .01) to the couple's alcoholism outcome. A general theme of selective disengagement and reengagement for couples in families at risk for alcoholism recurrence is discussed.

Patterns of Movement in Foster Care: An Optimal Matching Analysis

PubMed Central

Havlicek, Judy

2011-01-01

Placement instability remains a vexing problem for child welfare agencies across the country. This study uses child welfare administrative data to retrospectively follow the entire placement histories (birth to age 17.5) of 474 foster youth who reached the age of majority in the state of Illinois and to search for patterns in their movement through the child welfare system. Patterns are identified through optimal matching and hierarchical cluster analyses. Multiple logistic regression is used to analyze administrative and survey data in order to examine covariates related to patterns. Five distinct patterns of movement are differentiated: Late Movers, Settled with Kin, Community Care, Institutionalized, and Early Entry. These patterns suggest high but variable rates of movement. Implications for child welfare policy and service provision are discussed. PMID:20873020

Hierarchically nanostructured materials for sustainable environmental applications

PubMed Central

Ren, Zheng; Guo, Yanbing; Liu, Cai-Hong; Gao, Pu-Xian

2013-01-01

This review presents a comprehensive overview of the hierarchical nanostructured materials with either geometry or composition complexity in environmental applications. The hierarchical nanostructures offer advantages of high surface area, synergistic interactions, and multiple functionalities toward water remediation, biosensing, environmental gas sensing and monitoring as well as catalytic gas treatment. Recent advances in synthetic strategies for various hierarchical morphologies such as hollow spheres and urchin-shaped architectures have been reviewed. In addition to the chemical synthesis, the physical mechanisms associated with the materials design and device fabrication have been discussed for each specific application. The development and application of hierarchical complex perovskite oxide nanostructures have also been introduced in photocatalytic water remediation, gas sensing, and catalytic converter. Hierarchical nanostructures will open up many possibilities for materials design and device fabrication in environmental chemistry and technology. PMID:24790946

Hierarchically Nanostructured Materials for Sustainable Environmental Applications

NASA Astrophysics Data System (ADS)

Ren, Zheng; Guo, Yanbing; Liu, Cai-Hong; Gao, Pu-Xian

2013-11-01

This article presents a comprehensive overview of the hierarchical nanostructured materials with either geometry or composition complexity in environmental applications. The hierarchical nanostructures offer advantages of high surface area, synergistic interactions and multiple functionalities towards water remediation, environmental gas sensing and monitoring as well as catalytic gas treatment. Recent advances in synthetic strategies for various hierarchical morphologies such as hollow spheres and urchin-shaped architectures have been reviewed. In addition to the chemical synthesis, the physical mechanisms associated with the materials design and device fabrication have been discussed for each specific application. The development and application of hierarchical complex perovskite oxide nanostructures have also been introduced in photocatalytic water remediation, gas sensing and catalytic converter. Hierarchical nanostructures will open up many possibilities for materials design and device fabrication in environmental chemistry and technology.

Students' Self-Regulation for Interaction with Others in Online Learning Environments

ERIC Educational Resources Information Center

Cho, Moon-Heum; Kim, B. Joon

2013-01-01

The purpose of this study was to explore variables explaining students' self-regulation (SR) for interaction with others, specifically peers and instructors, in online learning environments. A total of 407 students participated in the study. With hierarchical regression model (HRM), several variables were regressed on students' SR for interaction…

Teacher psychological needs, locus of control and engagement.

PubMed

Betoret, Fernando Doménech

2013-01-01

This study examines the relationships among psychological needs, locus of control and engagement in a sample of 282 Spanish secondary school teachers. Nine teacher needs were identified based on the study of Bess (1977) and on the Self-Determination Theory (Deci & Ryan, 1985, 2000, 2002). Self-report questionnaires were used to measure the construct selected for this study and their interrelationships were examined by conducting hierarchical regression analyses. An analysis of teacher responses using hierarchical regression reveals that psychological needs have significant positive effects on the three engagement dimensions (vigor, dedication and absorption). Furthermore, the results show the moderator role played by locus of control in the relationship between teacher psychological needs and the so-called core of engagement (vigor and dedication). Finally, practical implications are discussed.

Bottom-up GGM algorithm for constructing multiple layered hierarchical gene regulatory networks

USDA-ARS?s Scientific Manuscript database

Multilayered hierarchical gene regulatory networks (ML-hGRNs) are very important for understanding genetics regulation of biological pathways. However, there are currently no computational algorithms available for directly building ML-hGRNs that regulate biological pathways. A bottom-up graphic Gaus...

Fear of cancer recurrence and psychological well-being in women with breast cancer: The role of causal cancer attributions and optimism.

PubMed

Dumalaon-Canaria, J A; Prichard, I; Hutchinson, A D; Wilson, C

2018-01-01

This study aims to examine the association between cancer causal attributions, fear of cancer recurrence (FCR) and psychological well-being and the possible moderating effect of optimism among women with a previous diagnosis of breast cancer. Participants (N = 314) completed an online self-report assessment of causal attributions for their own breast cancer, FCR, psychological well-being and optimism. Simultaneous multiple regression analyses were conducted to explore the overall contribution of causal attributions to FCR and psychological well-being separately. Hierarchical multiple regression analyses were also utilised to examine the potential moderating influence of dispositional optimism on the relationship between causal attributions and FCR and psychological well-being. Causal attributions of environmental exposures, family history and stress were significantly associated with higher FCR. The attribution of stress was also significantly associated with lower psychological well-being. Optimism did not moderate the relationship between causal attributions and FCR or well-being. The observed relationships between causal attributions for breast cancer and FCR and psychological well-being suggest that the inclusion of causal attributions in screening for FCR is potentially important. Health professionals may need to provide greater psychological support to women who attribute their cancer to non-modifiable causes and consequently continue to experience distress. © 2016 John Wiley & Sons Ltd.

A Head-to-Head Comparison of the Personality Inventory for DSM-5 (PID-5) With the Personality Diagnostic Questionnaire-4 (PDQ-4) in Predicting the General Level of Personality Pathology Among Community Dwelling Subjects.

PubMed

Fossati, Andrea; Somma, Antonella; Borroni, Serena; Maffei, Cesare; Markon, Kristian E; Krueger, Robert F

2016-02-01

In order to evaluate if measures of DSM-5 Alternative PD Model domains predicted interview-based scores of general personality pathology when compared to self-report measures of DSM-IV Axis II/DSM-5 Section II PD criteria, 300 Italian community adults were administered the Iowa Personality Disorder Screen (IPDS) interview, the Personality Inventory for DSM-5 (PID-5), and the Personality Diagnostic Questionnaire-4+ (PDQ-4+). Multiple regression analyses showed that the five PID-5 domain scales collectively explained an adequate rate of the variance of the IPDS interview total score. This result was slightly lower than the amount of variance in the IPDS total score explained by the 10 PDQ-4+ scales. The PID-5 traits scales performed better than the PDQ-4+, although the difference was marginal. Hierarchical regression analyses revealed that the PID-5 domain and trait scales provided a moderate, but significant increase in the prediction of the general level of personality pathology above and beyond the PDQ-4+ scales.

Modeling Heterogeneity in Relationships between Initial Status and Rates of Change: Treating Latent Variable Regression Coefficients as Random Coefficients in a Three-Level Hierarchical Model

ERIC Educational Resources Information Center

Choi, Kilchan; Seltzer, Michael

2010-01-01

In studies of change in education and numerous other fields, interest often centers on how differences in the status of individuals at the start of a period of substantive interest relate to differences in subsequent change. In this article, the authors present a fully Bayesian approach to estimating three-level Hierarchical Models in which latent…

Using cluster analysis and a classification and regression tree model to developed cover types in the Sky Islands of southeastern Arizona

Treesearch

Jose M. Iniguez; Joseph L. Ganey; Peter J. Daughtery; John D. Bailey

2005-01-01

The objective of this study was to develop a rule based cover type classification system for the forest and woodland vegetation in the Sky Islands of southeastern Arizona. In order to develop such a system we qualitatively and quantitatively compared a hierarchical (Ward’s) and a non-hierarchical (k-means) clustering method. Ecologically, unique groups represented by...

Using cluster analysis and a classification and regression tree model to developed cover types in the Sky Islands of southeastern Arizona [Abstract

Treesearch

Jose M. Iniguez; Joseph L. Ganey; Peter J. Daugherty; John D. Bailey

2005-01-01

The objective of this study was to develop a rule based cover type classification system for the forest and woodland vegetation in the Sky Islands of southeastern Arizona. In order to develop such system we qualitatively and quantitatively compared a hierarchical (Ward’s) and a non-hierarchical (k-means) clustering method. Ecologically, unique groups and plots...

Hierarchical additive modeling of nonlinear association with spatial correlations--an application to relate alcohol outlet density and neighborhood assault rates.

PubMed

Yu, Qingzhao; Li, Bin; Scribner, Richard Allen

2009-06-30

Previous studies have suggested a link between alcohol outlets and assaults. In this paper, we explore the effects of alcohol availability on assaults at the census tract level over time. In addition, we use a natural experiment to check whether a sudden loss of alcohol outlets is associated with deeper decreasing in assault violence. Several features of the data raise statistical challenges: (1) the association between covariates (for example, the alcohol outlet density of each census tract) and the assault rates may be complex and therefore cannot be described using a linear model without covariates transformation, (2) the covariates may be highly correlated with each other, (3) there are a number of observations that have missing inputs, and (4) there is spatial association in assault rates at the census tract level. We propose a hierarchical additive model, where the nonlinear correlations and the complex interaction effects are modeled using the multiple additive regression trees and the residual spatial association in the assault rates that cannot be explained in the model are smoothed using a conditional autoregressive (CAR) method. We develop a two-stage algorithm that connects the nonparametric trees with CAR to look for important covariates associated with the assault rates, while taking into account the spatial association of assault rates in adjacent census tracts. The proposed method is applied to the Los Angeles assault data (1990-1999). To assess the efficiency of the method, the results are compared with those obtained from a hierarchical linear model. Copyright (c) 2009 John Wiley & Sons, Ltd.

Behavioral and psychosocial factors associated with suicidal ideation among adolescents.

PubMed

Lee, GyuYoung; Ham, Ok Kyung

2018-04-10

Suicidal ideation poses a serious threat to the well-being of adolescents and is the strongest risk factor for suicide. Indeed, Korea ranks first among Organisation for Economic Cooperation and Development countries regarding the age-standardized suicide rates. In the present study, we examined multiple levels of factors associated with the suicidal ideation of adolescents in Korea by applying the Ecological Models of Health Behavior. A cross-sectional study was conducted with a convenience sample of 860 adolescents. The instruments included the Beck Depression Inventory and the Adolescent Mental Health and Problem Behavior Questionnaire. The data were analyzed using hierarchical multiple regression. Sixteen percent of participants reported suicidal ideation. Intrapersonal (sleep disturbance, Internet game addiction, destructive behavior, and depressive symptoms) and interpersonal factors (family conflicts and peer victimization) were associated with suicidal ideation. Because multiple factors were associated with suicidal ideation among adolescents, both intrapersonal (sleep disturbance, Internet game addiction, and depression) and interpersonal factors (family conflicts and peer problems) should be considered in the development of suicide-prevention programs. These programs could include campaigns changing the norms (permissive attitudes toward school violence) and the development of strict and rigorous school non-violence policies. © 2018 John Wiley & Sons Australia, Ltd.

Intimate relationship quality, self-concept and illness acceptance in those with multiple sclerosis.

PubMed

Wright, Thomas M; Kiropoulos, Litza A

2017-02-01

Lower levels of Intimate Relationship Quality (IRQ) have been found in those with Multiple Sclerosis (MS) compared to the general population. This study examined an MS sample to see whether IRQ was positively associated with self-concept, whether IRQ was positively associated with MS illness acceptance and whether IRQ was predicted by self-concept and illness acceptance. In this cross-sectional study, 115 participants with MS who were in an intimate relationship completed an online survey advertised on MS related websites. The survey assessed demographic variables, MS illness variables and levels of IRQ, self-concept and illness acceptance. Results revealed that IRQ was significantly positively associated with self-concept and with illness acceptance. Multiple hierarchical linear regression analysis revealed that, after controlling for illness duration and level of disability, self-concept significantly predicted IRQ but illness acceptance did not significantly predict IRQ. This study addressed several gaps and methodological flaws in the literature and was the first known to assess predictors of IRQ in those with MS. The results suggest that self-concept could be a potential target for individual and couple psychological interventions to improve IRQ and contribute to improved outcomes for those with MS.

Hierarchical group testing for multiple infections.

PubMed

Hou, Peijie; Tebbs, Joshua M; Bilder, Christopher R; McMahan, Christopher S

2017-06-01

Group testing, where individuals are tested initially in pools, is widely used to screen a large number of individuals for rare diseases. Triggered by the recent development of assays that detect multiple infections at once, screening programs now involve testing individuals in pools for multiple infections simultaneously. Tebbs, McMahan, and Bilder (2013, Biometrics) recently evaluated the performance of a two-stage hierarchical algorithm used to screen for chlamydia and gonorrhea as part of the Infertility Prevention Project in the United States. In this article, we generalize this work to accommodate a larger number of stages. To derive the operating characteristics of higher-stage hierarchical algorithms with more than one infection, we view the pool decoding process as a time-inhomogeneous, finite-state Markov chain. Taking this conceptualization enables us to derive closed-form expressions for the expected number of tests and classification accuracy rates in terms of transition probability matrices. When applied to chlamydia and gonorrhea testing data from four states (Region X of the United States Department of Health and Human Services), higher-stage hierarchical algorithms provide, on average, an estimated 11% reduction in the number of tests when compared to two-stage algorithms. For applications with rarer infections, we show theoretically that this percentage reduction can be much larger. © 2016, The International Biometric Society.

Hierarchical group testing for multiple infections

PubMed Central

Hou, Peijie; Tebbs, Joshua M.; Bilder, Christopher R.; McMahan, Christopher S.

2016-01-01

Summary Group testing, where individuals are tested initially in pools, is widely used to screen a large number of individuals for rare diseases. Triggered by the recent development of assays that detect multiple infections at once, screening programs now involve testing individuals in pools for multiple infections simultaneously. Tebbs, McMahan, and Bilder (2013, Biometrics) recently evaluated the performance of a two-stage hierarchical algorithm used to screen for chlamydia and gonorrhea as part of the Infertility Prevention Project in the United States. In this article, we generalize this work to accommodate a larger number of stages. To derive the operating characteristics of higher-stage hierarchical algorithms with more than one infection, we view the pool decoding process as a time-inhomogeneous, finite-state Markov chain. Taking this conceptualization enables us to derive closed-form expressions for the expected number of tests and classification accuracy rates in terms of transition probability matrices. When applied to chlamydia and gonorrhea testing data from four states (Region X of the United States Department of Health and Human Services), higher-stage hierarchical algorithms provide, on average, an estimated 11 percent reduction in the number of tests when compared to two-stage algorithms. For applications with rarer infections, we show theoretically that this percentage reduction can be much larger. PMID:27657666

Factors related to health-related quality of life among Chinese psychiatrists: occupational stress and psychological capital.

PubMed

Liu, Chuan; Wang, Lie; Zhao, Qun

2015-01-22

Psychiatry has been considered as one of the most stressful medical specialities, and psychiatrists are likely to experience impaired health-related quality of life (HRQOL). However, few studies are available in regard to related factors of HRQOL among psychiatrists in China. This study aims to evaluate the condition of HRQOL of psychiatrists and explore its predictive factors, especially the effects of occupational stress and psychological capital. A cross-sectional, multicenter survey was conducted among psychiatrists from different regions of Liaoning province, China, during August 2013-April 2014. Self-administrated questionnaires including the 36-item Short-Form Health Survey (SF-36), the Chinese version Psychological Capital Questionnaire, effort-reward-imbalance (ERI) scale and participants' basic characteristics were distributed to 500 psychiatrists from 10 psychiatric hospitals of 8 major cities in Liaoning province. Overall, 373 psychiatrists became our final research objects. Hierarchical multiple regression analysis (HMR) was performed to explore the predictors of psychiatrists' HRQOL. The mean (SD) scores of PCS and MCS among psychiatrists were 79.78 (16.55) and 71.50 (19.24) respectively. The mean (SD) of ERR were 0.777 (0.493), and 89 (23.9%) had ERR scores above 1 (ERR > 1). Hierarchical multiple regression analysis showed that, psychiatrists' basic characteristics that significant correlated with PCS and MCS were educational level, turnover intention, and exercise; age, weekly working hours were associated with MCS; psychiatrists' experienced occupational stress (both ERR and overcommitment), and PsyCap were significant predictors for PCS and MCS. Chinese psychiatrists experienced relatively good physical QOL but impaired mental QOL, and they experienced high level of occupational stress. For the sake of psychiatrists' HRQOL, the reduction of occupational stress should be implemented. The enhancement of PsyCap could be a new intervention strategy and should be paid attention to in improving HRQOL of psychiatrists. Proportionate occupational reward (money, esteem, career opportunities) to their high work demands, psychological counseling, and stress management courses should be provided to psychiatrists to improve their QOL. PsyCap, as a personal coping resource open to change, should be managed and developed among psychiatrists.

The association between organizational behavior factors and health-related quality of life among college teachers: a cross-sectional study.

PubMed

Liu, Chuan; Wang, Shu; Shen, Xue; Li, Mengyao; Wang, Lie

2015-06-20

College teachers in China are confronted with a lot of pressure from teaching, researching and living. They are suffering from impaired physical and mental health. The purpose of this study was to investigate the relationships between organizational behavior factors and college teachers' health related quality of life (HRQOL), and to confirm whether they are positive resources for improving teachers' HRQOL. A cross-sectional survey was conducted in Shenyang, China, from January to April 2014. Participants were composed of 965 teachers randomly selected from five representative colleges in Shenyang. Self-administrated questionnaires containing the 36-item Short-Form Health Survey (SF-36), the Chinese version Psychological Capital Questionnaire (PCQ), and scales assessing group identification, POS, and psychological empowerment were used to measure HRQOL and organizational behavior variables of college teachers. Hierarchical multiple regression analysis (HMR) was performed to explore the effects of organizational behavior variables on college teachers' HRQOL. The mean (SD) scores of physical component summary (PCS) and mental component summary (MCS) among college teachers were 71.43 (14.70) and 65.46 (16.55) respectively in the study population. Hierarchical multiple regression analysis showed that group identification (β = 0.121, P < 0.001) and PsyCap (β = 0.336, P < 0.001) were significant predictors of PCS, while group identification (β = 0.107, P < 0.001), POS (β = 0.124, P = 0.003), psychological empowerment (β = 0.093, P = 0.017) and PsyCap (β = 0.421, P < 0.001) were significant predictors of MCS. Chinese college teachers experienced relatively low level of HRQOL and their mental quality of life (QOL) were impaired more seriously than physical QOL. Organizational behavior factors (PsyCap, group identification, POS and psychological empowerment) were strong predictors of college teachers' HRQOL and are positive resources for improving teachers' HRQOL. The enhancement of college teachers' PsyCap, group identification, POS and psychological empowerment at work should be incorporated in the strategy of protecting and improving college teachers' physical and mental QOL.

Mindfulness Is Associated with Increased Hedonic Capacity Among Chronic Pain Patients Receiving Extended Opioid Pharmacotherapy

PubMed Central

Thomas, Elizabeth A.; Garland, Eric L.

2016-01-01

Objectives Chronic pain and long-term opioid use may lead to a persistent deficit in hedonic capacity, characterized by increased sensitivity to aversive states and insensitivity to natural rewards. Dispositional mindfulness has been linked with improved emotion regulation and pain coping. The aim of the current study was to examine associations between dispositional mindfulness, hedonic capacity, and pain-related interference in an opioid-using chronic pain sample. Methods Data were obtained from a sample of 115 chronic pain patients on long-term opioid therapy (68% females, M age=48.3, SD=13.6) who completed the Five Facet Mindfulness Questionnaire (FFMQ), the Snaith Hamilton Anhedonia and Pleasure Scale (SHAPS), the Brief Pain Inventory (BPI), and a psychiatric assessment of major depression. Bivariate correlations, hierarchical multiple regression, and path analysis were used to determine if dispositional mindfulness scores (FFMQ) predicted variance in hedonic capacity (SHAPS), and if hedonic capacity mediated the association between mindfulness and pain interference. Results We observed a significant positive correlation between dispositional mindfulness and hedonic capacity scores, r=.33, p<.001. Hierarchical regression indicated that after controlling for pain interference and major depressive disorder diagnosis, dispositional mindfulness explained a significant portion of variance in hedonic capacity (Beta = .30, p< .01). The association between dispositional mindfulness and pain interference was mediated by hedonic capacity (b = −.011, SE=.005, 95% C.I. = −.004 to −.024, full model R2=.39). Discussion Findings indicate that dispositional mindfulness was associated with hedonic capacity among this chronic pain sample. In light of this association, it is plausible that interventions that increase mindfulness may reduce pain-related impairment among opioid-using patients by enhancing hedonic capacity. PMID:28060783

Expectant Mothers Maximizing Opportunities: Maternal Characteristics Moderate Multifactorial Prenatal Stress in the Prediction of Birth Weight in a Sample of Children Adopted at Birth

PubMed Central

Brotnow, Line; Reiss, David; Stover, Carla S.; Ganiban, Jody; Leve, Leslie D.; Neiderhiser, Jenae M.; Shaw, Daniel S.; Stevens, Hanna E.

2015-01-01

Background Mothers’ stress in pregnancy is considered an environmental risk factor in child development. Multiple stressors may combine to increase risk, and maternal personal characteristics may offset the effects of stress. This study aimed to test the effect of 1) multifactorial prenatal stress, integrating objective “stressors” and subjective “distress” and 2) the moderating effects of maternal characteristics (perceived social support, self-esteem and specific personality traits) on infant birthweight. Method Hierarchical regression modeling was used to examine cross-sectional data on 403 birth mothers and their newborns from an adoption study. Results Distress during pregnancy showed a statistically significant association with birthweight (R2 = 0.032, F (2, 398) = 6.782, p = .001). The hierarchical regression model revealed an almost two-fold increase in variance of birthweight predicted by stressors as compared with distress measures (R2 Δ = 0.049, F (4, 394) = 5.339, p < .001). Further, maternal characteristics moderated this association (R2 Δ = 0.031, F (4, 389) = 3.413, p = .009). Specifically, the expected benefit to birthweight as a function of higher SES was observed only for mothers with lower levels of harm-avoidance and higher levels of perceived social support. Importantly, the results were not better explained by prematurity, pregnancy complications, exposure to drugs, alcohol or environmental toxins. Conclusions The findings support multidimensional theoretical models of prenatal stress. Although both objective stressors and subjectively measured distress predict birthweight, they should be considered distinct and cumulative components of stress. This study further highlights that jointly considering risk factors and protective factors in pregnancy improves the ability to predict birthweight. PMID:26544958

Identifying significant gene‐environment interactions using a combination of screening testing and hierarchical false discovery rate control

PubMed Central

Shen, Li; Saykin, Andrew J.; Williams, Scott M.; Moore, Jason H.

2016-01-01

ABSTRACT Although gene‐environment (G× E) interactions play an important role in many biological systems, detecting these interactions within genome‐wide data can be challenging due to the loss in statistical power incurred by multiple hypothesis correction. To address the challenge of poor power and the limitations of existing multistage methods, we recently developed a screening‐testing approach for G× E interaction detection that combines elastic net penalized regression with joint estimation to support a single omnibus test for the presence of G× E interactions. In our original work on this technique, however, we did not assess type I error control or power and evaluated the method using just a single, small bladder cancer data set. In this paper, we extend the original method in two important directions and provide a more rigorous performance evaluation. First, we introduce a hierarchical false discovery rate approach to formally assess the significance of individual G× E interactions. Second, to support the analysis of truly genome‐wide data sets, we incorporate a score statistic‐based prescreening step to reduce the number of single nucleotide polymorphisms prior to fitting the first stage penalized regression model. To assess the statistical properties of our method, we compare the type I error rate and statistical power of our approach with competing techniques using both simple simulation designs as well as designs based on real disease architectures. Finally, we demonstrate the ability of our approach to identify biologically plausible SNP‐education interactions relative to Alzheimer's disease status using genome‐wide association study data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). PMID:27578615

Hierarchical analysis of forest bird species-environment relationships in the Oregon Coast Range

Treesearch

Samuel A. Cushman; Kevin McGarigal

2004-01-01

Species in biological communities respond to environmental variation simultaneously across a range of organizational levels. Accordingly, it is important to quantify the effects of environmental factors at multiple levels on species distribution and abundance. Hierarchical methods that explicitly separate the independent and confounded influences of environmental...

The relationship between depressive symptoms among female workers and job stress and sleep quality.

PubMed

Cho, Ho-Sung; Kim, Young-Wook; Park, Hyoung-Wook; Lee, Kang-Ho; Jeong, Baek-Geun; Kang, Yune-Sik; Park, Ki-Soo

2013-07-22

Recently, workers' mental health has become important focus in the field of occupational health management. Depression is a psychiatric illness with a high prevalence. The association between job stress and depressive symptoms has been demonstrated in many studies. Recently, studies about the association between sleep quality and depressive symptoms have been reported, but there has been no large-scaled study in Korean female workers. Therefore, this study was designed to investigate the relationship between job stress and sleep quality, and depressive symptoms in female workers. From Mar 2011 to Aug 2011, 4,833 female workers in the manufacturing, finance, and service fields at 16 workplaces in Yeungnam province participated in this study, conducted in combination with a worksite-based health checkup initiated by the National Health Insurance Service (NHIS). In this study, a questionnaire survey was carried out using the Korean Occupational Stress Scale-Short Form(KOSS-SF), Pittsburgh Sleep Quality Index(PSQI) and Center for Epidemiological Studies-Depression Scale(CES-D). The collected data was entered in the system and analyzed using the PASW (version 18.0) program. A correlation analysis, cross analysis, multivariate logistic regression analysis, and hierarchical multiple regression analysis were conducted. Among the 4,883 subjects, 978 subjects (20.0%) were in the depression group. Job stress(OR=3.58, 95% CI=3.06-4.21) and sleep quality(OR=3.81, 95% CI=3.18-4.56) were strongly associated with depressive symptoms. Hierarchical multiple regression analysis revealed that job stress displayed explanatory powers of 15.6% on depression while sleep quality displayed explanatory powers of 16.2%, showing that job stress and sleep quality had a closer relationship with depressive symptoms, compared to the other factors. The multivariate logistic regression analysis yielded odds ratios between the 7 subscales of job stress and depressive symptoms in the range of 1.30-2.72 and the odds ratio for the lack of reward was the highest(OR=2.72, 95% CI=2.32-3.19). In the partial correlation analysis between each of the 7 subscales of sleep quality (PSQI) and depressive symptoms, the correlation coefficient of subjective sleep quality and daytime dysfunction were 0.352 and 0.362, respectively. This study showed that the depressive symptoms of female workers are closely related to their job stress and sleep quality. In particular, the lack of reward and subjective sleep factors are the greatest contributors to depression. In the future, a large-scale study should be performed to augment the current study and to reflect all age groups in a balanced manner. The findings on job stress, sleep, and depression can be utilized as source data to establish standards for mental health management of the ever increasing numbers of female members of the workplace.

A Flexible High-Performance Photoimaging Device Based on Bioinspired Hierarchical Multiple-Patterned Plasmonic Nanostructures.

PubMed

Lee, Yoon Ho; Lee, Tae Kyung; Kim, Hongki; Song, Inho; Lee, Jiwon; Kang, Saewon; Ko, Hyunhyub; Kwak, Sang Kyu; Oh, Joon Hak

2018-03-01

In insect eyes, ommatidia with hierarchical structured cornea play a critical role in amplifying and transferring visual signals to the brain through optic nerves, enabling the perception of various visual signals. Here, inspired by the structure and functions of insect ommatidia, a flexible photoimaging device is reported that can simultaneously detect and record incoming photonic signals by vertically stacking an organic photodiode and resistive memory device. A single-layered, hierarchical multiple-patterned back reflector that can exhibit various plasmonic effects is incorporated into the organic photodiode. The multiple-patterned flexible organic photodiodes exhibit greatly enhanced photoresponsivity due to the increased light absorption in comparison with the flat systems. Moreover, the flexible photoimaging device shows a well-resolved spatiotemporal mapping of optical signals with excellent operational and mechanical stabilities at low driving voltages below half of the flat systems. Theoretical calculation and scanning near-field optical microscopy analyses clearly reveal that multiple-patterned electrodes have much stronger surface plasmon coupling than flat and single-patterned systems. The developed methodology provides a versatile and effective route for realizing high-performance optoelectronic and photonic systems. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Differential gene expression profiles of peripheral blood mononuclear cells in childhood asthma.

PubMed

Kong, Qian; Li, Wen-Jing; Huang, Hua-Rong; Zhong, Ying-Qiang; Fang, Jian-Pei

2015-05-01

Asthma is a common childhood disease with strong genetic components. This study compared whole-genome expression differences between asthmatic young children and healthy controls to identify gene signatures of childhood asthma. Total RNA extracted from peripheral blood mononuclear cells (PBMC) was subjected to microarray analysis. QRT-PCR was performed to verify the microarray results. Classification and functional characterization of differential genes were illustrated by hierarchical clustering and gene ontology analysis. Multiple logistic regression (MLR) analysis, receiver operating characteristic (ROC) curve analysis, and discriminate power were used to scan asthma-specific diagnostic markers. For fold-change>2 and p < 0.05, there were 758 named differential genes. The results of QRT-PCR confirmed successfully the array data. Hierarchical clustering divided 29 highly possible genes into seven categories and the genes in the same cluster were likely to possess similar expression patterns or functions. Gene ontology analysis presented that differential genes primarily enriched in immune response, response to stress or stimulus, and regulation of apoptosis in biological process. MLR and ROC curve analysis revealed that the combination of ADAM33, Smad7, and LIGHT possessed excellent discriminating power. The combination of ADAM33, Smad7, and LIGHT would be a reliable and useful childhood asthma model for prediction and diagnosis.

The effects of cultural values on mental health among the Taiwanese people: mediating of attitudes toward emotional expression.

PubMed

Chu, Li-Chuan

2015-03-01

Empirical evidence has demonstrated that an individual's cultural values can influence his or her mental health. This study extends previous research by proposing and testing a model that examines mediating processes underlying the relationship between individuals' cultural values and their mental health. This 2-stage study used data collected from 208 (at time 1) and 159 (at time 2) full-time staff employed by private enterprises in Taiwan. The author tested hypotheses through the use of hierarchical multiple regression. The results showed that under horizontal individualism and vertical collectivism, the predictors of negative mental health (ie, somatic symptoms, anxiety and insomnia, social dysfunction and/or severe depression) were partially and almost completely achieved through the mediating effect of the negative attitudes toward emotional expression. © 2012 APJPH.

Sisters’ and Girlfriends’ Sexual and Childbearing Behavior: Effects on Early Adolescent Girls’ Sexual Outcomes

PubMed Central

East, Patricia L.; Felice, Marianne E.; Morgan, Maria C.

2013-01-01

This study examined three key issues related to the effects of sisters’ and girlfriends’ sexual and childbearing behavior on early adolescent girls’ sexual outcomes. Subjects were 455 girls from predominantly minority racial backgrounds. Results indicated that number of sexually active girlfriends, number of sexually active sisters, and presence of an adolescent childbearing sister were positively associated with permissive sexual attitudes, positive intentions for future sexual activity, and a greater likelihood of being a nonvirgin. The strength of these relationships did not vary by race, but there was a greater presence of permissive social influences for African American girls than for nonblack girls. Results from multiple hierarchical regression analyses indicated that having both many sexually active girlfriends and an adolescent childbearing sister had particularly strong effects on permissive sexual attitudes and a nonvirgin status. PMID:24353349

An examination of racial bias in the Beck Depression Inventory-II.

PubMed

Sashidharan, Tracy; Pawlow, Laura A; Pettibone, Jonathan C

2012-04-01

Historically, many psychological measures were developed and standardized based on a primarily Caucasian population. These tests are subsequently applied to minorities and may be inappropriate and possibly even pathologizing. The widely used Beck Depression Inventory-II (BDI-II) was initially standardized on a sample of Caucasian university students and its use with minorities has only recently been investigated. This study examined the possibility of racial bias in the BDI-II by comparing Caucasian and African American Midwestern university students. A hierarchical multiple regression compared the scores of the BDI-II with a similar measure of depression that is standardized for use with African Americans. There was no evidence of racial bias discovered in the BDI-II in this sample. Implications and future directions of research are discussed. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Personality traits as risk factors of depression and anxiety among Japanese students.

PubMed

Matsudaira, Tomomi; Kitamura, Toshinori

2006-01-01

The aim of this study is to examine the effects of personality (temperament and character) on specific depression and specific anxiety. A total of 541 Japanese undergraduates were investigated by using the Temperament and Character Inventory (TCI) and the Hospital Anxiety and Depression (HAD) scale. Hierarchical multiple regression analyses demonstrated that specific depression was predicted by lower Reward-Dependence, Persistence, Self-Directedness, Cooperativeness, and Self-Transcendence; specific anxiety was predicted by higher Novelty-Seeking, Harm-Avoidance, Persistence, and Self-Transcendence, and lower Self-Directedness. Immaturity of Self-Directedness is a risk factor for negative affectivity. Immaturity of all character dimensions is a risk factor for specific depression. The relationship between Harm-Avoidance and depression in previous studies may be linked partly to somatic symptoms that were deliberately eliminated in the HAD scale.

Fear of Death in a Sample of Physicians

PubMed Central

Wood, Keith; Robinson, Paul J.

1984-01-01

Recently, reliable and valid methods of assessing fear of death have been developed. In this study, three well established questionnaires (the Threat Index, the Death Anxiety Scale and the Collett-Lester Fear of Death Scale) were used to assess and compare fear of death in a group of physicians (n = 30) with a group of non-physicians (n = 30). T-tests and hierarchical multiple regression analyses revealed no significant differences between physicians' and non-physicians' fear of death as measured by the Threat Index and Templer's Death Anxiety Scale. The Collett-Lester Fear of Death Scale revealed that physicians were less fearful of death. More specifically, physicians demonstrated less fear on the Collett-Lester subscales, `fear of dying of self' and `fear of dying of others', than did non-physicians. These findings and those of earlier, contradictory research, are discussed. PMID:21279021

Condom use with a casual partner: what distinguishes college students' use when intoxicated?

PubMed

Abbey, Antonia; Parkhill, Michele R; Buck, Philip O; Saenz, Christopher

2007-03-01

Determining alcohol's precise role in sexual risk taking has proven to be an elusive goal. Past research has produced mixed results, depending on characteristics of individuals, their partners, and the situation, as well as how the link between alcohol consumption and sexual behavior was assessed. In this study, cross-sectional predictors of the frequency of condom use were examined for 298 heterosexual college students at a large urban university. In hierarchical multiple regression analyses that controlled for frequency of condom use when sober, alcohol expectancies regarding sexual risk taking and self-efficacy regarding condom use when intoxicated were significant predictors of frequency of condom use when intoxicated. These findings highlight the importance of targeting beliefs about alcohol's disinhibiting effects in STD- and HIV-prevention programs. (c) 2007 APA, all rights reserved.

Executive function, approach sensitivity, and emotional decision making as influences on risk behaviors in young adults.

PubMed

Patrick, Megan E; Blair, Clancy; Maggs, Jennifer L

2008-05-01

Relations among executive function, behavioral approach sensitivity, emotional decision making, and risk behaviors (alcohol use, drug use, and delinquent behavior) were examined in single female college students (N = 72). Hierarchical multiple regressions indicated a significant Approach Sensitivity x Working Memory interaction in which higher levels of alcohol use were associated with the combination of greater approach tendency and better working memory. This Approach Sensitivity x Working Memory interaction was also marginally significant for drug use and delinquency. Poor emotional decision making, as measured by a gambling task, was also associated with higher levels of alcohol use, but only for individuals low in inhibitory control. Findings point to the complexity of relations among aspects of self-regulation and personality and provide much needed data on neuropsychological correlates of risk behaviors in a nonclinical population.

Correlates of aggression in African American and Puerto Rican children.

PubMed

Brook, Judith S; Rosenberg, Gary; Brook, David W; Balka, Elinor B; Meade, Michael

2004-06-01

The authors examined a cross-sectional interrelationship of psychosocial domains as they relate to aggression in a group of African American and English-speaking Puerto Rican children living in New York City. The population included 80 biological children of African American and Puerto Rican young adults who had been participating in the authors' ongoing longitudinal study, and 77 mothers or mother substitutes (rearing mothers) of those children. The authors performed hierarchical multiple regression analysis. The results indicated that (a) the child's personality and maternal attributes were significantly related to the child's aggression, despite control on all of the other domains and (b) the ethnic identification and discrimination domain was no longer related to the child's aggression with control on the mother-child relationship domain or on the child's personality domain. The findings have implications for clinical practice and public policy.

Aggression in toddlers: associations with parenting and marital relations.

PubMed

Brook, J S; Zheng, L; Whiteman, M; Brook, D W

2001-06-01

This study examined the relation among parenting factors, marital relations, and toddler aggression. A structured questionnaire was administered to both parents of 254 2-year-olds. The authors used correlation and hierarchical multiple regression analyses to assess the extent to which certain personality traits, drug use, parenting style, and marital conflicts were related to the toddlers' aggressive behavior. Results showed that the maternal child-rearing and parental aggression domains had a direct effect on toddler aggression. The domain of maternal child rearing also served as a mediator for the domains of marital relations, paternal child rearing, parental aggression, and parental drug use. The findings indicated that maternal child-rearing practices, personality attributes, and drug use were more important than paternal attributes in relation to toddler aggression. Implications for prevention among families at risk are discussed.

Body Image Concerns and Contingent Self-Esteem in Male and Female College Students

PubMed Central

Lee, Christine M.; Neighbors, Clayton; Larimer, Mary E.

2017-01-01

Body dissatisfaction in females, and to a lesser extent males, is associated with low self-esteem, depression, and eating disorders. This research examined gender as a moderator of the association between contingent self-esteem and body image concerns, including weight and muscularity. Participants included 359 (59.1% female) heavy drinking first-year U.S. undergraduate students who completed a survey assessing health-related risk behaviors. Hierarchical multiple regression was used to examine relations among gender, contingent self-esteem, and body image. Females reported higher levels of contingent self-esteem and greater concerns about their weight, although males reported a greater drive for muscularity. The relationship between contingent self-esteem and weight concerns was stronger among females, and for males, greater contingent self-esteem was associated with a greater drive for muscularity. PMID:28959088

Language and false belief: evidence for general, not specific, effects in cantonese-speaking preschoolers.

PubMed

Tardif, Twila; So, Catherine Wing-Chee; Kaciroti, Niko

2007-03-01

Two studies were conducted with Cantonese-speaking preschoolers examining J. de Villiers's (1995) hypothesis that syntactic complements play a unique role in the acquisition of false belief (FB). In Study 1, the authors found a positive correlation between FB and syntactic complements in 72 four- to six-year-old Cantonese-speaking preschoolers. Study 2 followed 72 three- to five-year-old Cantonese-speaking children who initially failed an FB screening task and were then tested on general language abilities, short-term memory, inhibition, nonverbal IQ, and on FB and complement tasks. Once age and initial FB understanding were controlled for in both multiple regression and hierarchical linear modeling analyses, complements no longer uniquely predicted FB. Instead, individual differences in general language abilities and short-term memory contributed to the variation in both complements and FB.

Impulsivity-hyperactivity and subtypes of aggression in early childhood: an observational and short-term longitudinal study.

PubMed

Ostrov, Jamie M; Godleski, Stephanie A

2009-08-01

This short-term longitudinal study (N = 112) was conducted to explore the concurrent and prospective associations between teacher-reported impulsive-hyperactive behavior and observed relational and physical aggression during early childhood (M = 45.54 months old, SD = 9.07). Multiple informants and methods including observational methods (i.e., 160 min per child) were used to assess aggression and impulsivity-hyperactivity. All measures were found to be valid and reliable. Prospective hierarchical regression analyses revealed that impulsivity-hyperactivity was associated with increases in observed physical aggression across time, controlling for initial relational aggression and gender. These findings add to the growing developmental psychopathology literature that suggests that distinguishing between subtypes of aggression during early childhood may be important for understanding the course of impulsivity-hyperactivity in young children. Implications for practice are discussed.

"But you don't look Puerto Rican": the moderating effect of ethnic identity on the relation between skin color and self-esteem among Puerto Rican women.

PubMed

López, Irene

2008-04-01

This exploratory study investigated whether ethnic identity, as assessed by Phinney's (1992) Multigroup Ethnic Identity Measure, functioned as a moderator in the relation between skin color (as measured by masked interviewer evaluation, participant self-report, and skin reflectance data) and self-esteem (as measured by Rosenberg's 1989 Self-Esteem Scale). In a sample of 53 English-speaking Puerto Rican women, a hierarchical multiple regression indicated that among lighter skinned women, those who felt less attached to their culture had less self-esteem than those who were more culturally embedded. Similarly, among darker skinned women, greater attachment to Puerto Rican culture was associated with greater self-esteem than a less defined ethnic identity. Findings are discussed in light of the beneficial effects of ethnic identity.

Ethnic and generational influences on emotional distress and risk behaviors among Chinese and Filipino American adolescents.

PubMed

Willgerodt, Mayumi Anne; Thompson, Elaine Adams

2006-08-01

The purpose of this study was to explore ethnic and generational influences among Chinese, Filipino, and Euro American adolescents on emotional distress and risk behaviors. Hierarchical multiple regression analyses were conducted with 216 Chinese, 387 Filipino, and 400 Euro American adolescents from the National Longitudinal Study on Adolescent Health to investigate the influence of ethnicity on depression, somatic symptoms, delinquency, and substance use; and to examine the influence of generation on the outcome variables among Chinese and Filipino American adolescents. Ethnicity predicted depression and delinquency scores, while generation within ethnic groups predicted somatic symptoms and substance use. The findings diverge from theories using acculturation as an explanatory mechanism for distress and risk behaviors and underscore the importance of examining sub-groups and generations of Asian American youth. Copyright 2006 Wiley Periodicals, Inc.

Test Anxiety and Academic Performance among Undergraduates: The Moderating Role of Achievement Motivation.

PubMed

Balogun, Anthony Gbenro; Balogun, Shyngle Kolawole; Onyencho, Chidi Victor

2017-02-13

This study investigated the moderating role of achievement motivation in the relationship between test anxiety and academic performance. Three hundred and ninety three participants (192 males and 201 females) selected from a public university in Ondo State, Nigeria using a purposive sampling technique, participated in the study. They responded to measures of test anxiety and achievement motivation. Three hypotheses were tested using moderated hierarchical multiple regression analysis. Results showed that test anxiety had a negative impact on academic performance (β = -.23; p < .05). Achievement motivation had a positive impact on academic performance (β = .38; p < .05). Also, achievement motivation significantly moderated the relationship between test anxiety and academic performance (β = .10; p < .01). These findings suggest that university management should design appropriate psycho-educational interventions that would enhance students' achievement motivation.

Relationship between academic motivation and mathematics achievement among Indian adolescents in Canada and India.

PubMed

Areepattamannil, Shaljan

2014-01-01

This study examined the relationships between academic motivation-intrinsic motivation, extrinsic motivation, amotivation-and mathematics achievement among 363 Indian adolescents in India and 355 Indian immigrant adolescents in Canada. Results of hierarchical multiple regression analyses showed that intrinsic motivation, extrinsic motivation, and amotivation were not statistically significantly related to mathematics achievement among Indian adolescents in India. In contrast, both intrinsic motivation and extrinsic motivation were statistically significantly related to mathematics achievement among Indian immigrant adolescents in Canada. While intrinsic motivation was a statistically significant positive predictor of mathematics achievement among Indian immigrant adolescents in Canada, extrinsic motivation was a statistically significant negative predictor of mathematics achievement among Indian immigrant adolescents in Canada. Amotivation was not statistically significantly related to mathematics achievement among Indian immigrant adolescents in Canada. Implications of the findings for pedagogy and practice are discussed.

Compulsive use of social networking sites in Belgium: prevalence, profile, and the role of attitude toward work and school.

PubMed

De Cock, Rozane; Vangeel, Jolien; Klein, Annabelle; Minotte, Pascal; Rosas, Omar; Meerkerk, Gert-Jan

2014-03-01

A representative sample (n=1,000) of the Belgian population aged 18 years and older filled out an online questionnaire on their Internet use in general and their use of social networking sites (SNS) in particular. We measured total time spent on the Internet, time spent on SNS, number of SNS profiles, gender, age, schooling level, income, job occupation, and leisure activities, and we integrated several psychological scales such as the Quick Big Five and the Mastery Scale. Hierarchical multiple regression modeling shows that gender and age explain an important part of the compulsive SNS score (5%) as well as psychological scales (20%), but attitude toward school (additional 3%) and income (2.5%) also add to explained variance in predictive models of compulsive SNS use.

Ringleader bullying: association with psychopathic narcissism and theory of mind among child psychiatric inpatients.

PubMed

Stellwagen, Kurt K; Kerig, Patricia K

2013-10-01

This study examined the association of ringleader bullying with psychopathic traits and theory of mind among 100 youth aged 10-15 (62 boys and 38 girls) receiving inpatient psychiatric services at a state facility. Results of hierarchical multiple regression analyses indicated a positive association between ringleader bullying and psychopathic narcissism, and a significant interaction effect between narcissism and theory of mind. More specifically, narcissism moderated the relationship between theory of mind and ringleader bullying such that theory of mind was positively associated with ringleader bullying when levels of narcissism were high, and theory of mind was negatively associated ringleader bullying when levels of narcissism were low. The discussion of these results focuses on the importance of developing effective treatment techniques for youth whose bullying behavior is associated with narcissistic features and social acuity.

[Relationship between self-evaluation of their emotions and subjective adaptation to school among junior high school students].

PubMed

Shimoda, Yoshiyuki; Ishizu, Kenichiro; Kashimura, Masami

2014-02-01

The effect of self-evaluation of emotions on subjective adaption to school was investigated among junior high school students (n = 217: 112 boys, 105 girls) who participated in a questionnaire survey. Hierarchical multiple regression analysis indicated that for boys "Infringement and maladjustment" differed based on their self-evaluation of anger and anxiety. For girls, on the other hand, the self-evaluation of anger alleviated psychological stress, worsened the "Relationship with the teacher" and the "Relationship with the class", whereas self-evaluation of anxiety played a role in increasing psychological stress and deteriorating the "Relationship with the class." Furthermore, negatively evaluating either anger or anxiety heightened the "Motivation for learning" in girls. These results suggest that the evaluation of emotions is different in boys and girls and for different emotions.

When mechanism matters: Bayesian forecasting using models of ecological diffusion

USGS Publications Warehouse

Hefley, Trevor J.; Hooten, Mevin B.; Russell, Robin E.; Walsh, Daniel P.; Powell, James A.

2017-01-01

Ecological diffusion is a theory that can be used to understand and forecast spatio-temporal processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian modelling provides a framework to make statistical inference and probabilistic forecasts, using mechanistic ecological models. To illustrate, we show how hierarchical Bayesian models of ecological diffusion can be implemented for large data sets that are distributed densely across space and time. The hierarchical Bayesian approach is used to understand and forecast the growth and geographic spread in the prevalence of chronic wasting disease in white-tailed deer (Odocoileus virginianus). We compare statistical inference and forecasts from our hierarchical Bayesian model to phenomenological regression-based methods that are commonly used to analyse spatial occurrence data. The mechanistic statistical model based on ecological diffusion led to important ecological insights, obviated a commonly ignored type of collinearity, and was the most accurate method for forecasting.

Modeling Choice Under Uncertainty in Military Systems Analysis

DTIC Science & Technology

1991-11-01

operators rather than fuzzy operators. This is suggested for further research. 4.3 ANALYTIC HIERARCHICAL PROCESS ( AHP ) In AHP , objectives, functions and...14 4.1 IMPRECISELY SPECIFIED MULTIPLE A’ITRIBUTE UTILITY THEORY... 14 4.2 FUZZY DECISION ANALYSIS...14 4.3 ANALYTIC HIERARCHICAL PROCESS ( AHP ) ................................... 14 4.4 SUBJECTIVE TRANSFER FUNCTION APPROACH

Age differences in cognitive performance in later life: relationships to self-reported health and activity life style.

PubMed

Hultsch, D F; Hammer, M; Small, B J

1993-01-01

The predictive relationships among individual differences in self-reported physical health and activity life style and performance on an array of information processing and intellectual ability measures were examined. A sample of 484 men and women aged 55 to 86 years completed a battery of cognitive tasks measuring verbal processing time, working memory, vocabulary, verbal fluency, world knowledge, word recall, and text recall. Hierarchical regression was used to predict performance on these tasks from measures of self-reported physical health, alcohol and tobacco use, and level of participation in everyday activities. The results indicated: (a) individual differences in self-reported health and activity predicted performance on multiple cognitive measures; (b) self-reported health was more predictive of processing resource variables than knowledge-based abilities; (c) interaction effects indicated that participation in cognitively demanding activities was more highly related to performance on some measures for older adults than for middle-aged adults; and (d) age-related differences in performance on multiple measures were attenuated by partialing individual differences in self-reported health and activity.

Hurricane Katrina’s Impact on the Mental Health of Adolescent Female Offenders

PubMed Central

Robertson, Angela A.; Morse, David T.; Baird-Thomas, Connie

2008-01-01

Exposure to multiple traumatic events and high rates of mental health problems are common among juvenile offenders. This study draws on Conservation of Resources (COR) stress theory to examine the impact of a specific trauma, Hurricane Katrina, relative to other adverse life events on the mental health of female adolescent offenders in Mississippi. Teenage girls (N = 258, 69% African American) were recruited from 4 juvenile detention centers and the state training school. Participants were interviewed about the occurrence and timing of adverse life events and hurricane-related experiences and completed a self-administered mental health assessment. Hierarchical linear regression models were used to identify predictors of anxiety and depression. Pre-hurricane family stressors, pre-hurricane traumatic events, hurricane-related property damage, and receipt of hurricane-related financial assistance significantly predicted symptoms of anxiety and depression. Findings support COR theory. Family stressors had the greatest influence on symptoms of anxiety and depression, highlighting the need for family-based services that address the multiple, inter-related problems and challenges in the lives of female juvenile offenders. PMID:19296263

With a little help from my goals: integrating intergoal facilitation with the theory of planned behaviour to predict physical activity.

PubMed

Presseau, Justin; Sniehotta, Falko F; Francis, Jill J; Gebhardt, Winifred A

2010-11-01

Integration of a multiple goal theory approach into the theory of planned behaviour (TPB) to investigate how the perceived facilitating and conflicting relationships in multiple goal pursuit predict performance of a health-related behaviour. Prospective design with 8-week follow-up. At baseline, perceived intergoal facilitation and intergoal conflict were measured using personal projects analysis supplemented with standard TPB measures for physical activity (PA). Self-reported PA was measured at follow-up 8 weeks later. N=137 participants completed measures at both time points (55.4% response rate at follow-up). Hierarchical regression showed that perceived intergoal facilitation, but not intergoal conflict, directly predicted PA beyond intention and perceived behavioural control (PBC), accounting for more than 4% of additional variance in PA. Intergoal facilitation had an indirect effect on intention through attitude and PBC, and intention partially mediated the effect of intergoal facilitation on behaviour. The perceived facilitating effect of pursuing other personal goals predicts the performance of a health-related behaviour over and above single behaviour-focused social cognitions.

Statistical Significance for Hierarchical Clustering

PubMed Central

Kimes, Patrick K.; Liu, Yufeng; Hayes, D. Neil; Marron, J. S.

2017-01-01

Summary Cluster analysis has proved to be an invaluable tool for the exploratory and unsupervised analysis of high dimensional datasets. Among methods for clustering, hierarchical approaches have enjoyed substantial popularity in genomics and other fields for their ability to simultaneously uncover multiple layers of clustering structure. A critical and challenging question in cluster analysis is whether the identified clusters represent important underlying structure or are artifacts of natural sampling variation. Few approaches have been proposed for addressing this problem in the context of hierarchical clustering, for which the problem is further complicated by the natural tree structure of the partition, and the multiplicity of tests required to parse the layers of nested clusters. In this paper, we propose a Monte Carlo based approach for testing statistical significance in hierarchical clustering which addresses these issues. The approach is implemented as a sequential testing procedure guaranteeing control of the family-wise error rate. Theoretical justification is provided for our approach, and its power to detect true clustering structure is illustrated through several simulation studies and applications to two cancer gene expression datasets. PMID:28099990

Hierarchical drivers of reef-fish metacommunity structure.

PubMed

MacNeil, M Aaron; Graham, Nicholas A J; Polunin, Nicholas V C; Kulbicki, Michel; Galzin, René; Harmelin-Vivien, Mireille; Rushton, Steven P

2009-01-01

Coral reefs are highly complex ecological systems, where multiple processes interact across scales in space and time to create assemblages of exceptionally high biodiversity. Despite the increasing frequency of hierarchically structured sampling programs used in coral-reef science, little progress has been made in quantifying the relative importance of processes operating across multiple scales. The vast majority of reef studies are conducted, or at least analyzed, at a single spatial scale, ignoring the implicitly hierarchical structure of the overall system in favor of small-scale experiments or large-scale observations. Here we demonstrate how alpha (mean local number of species), beta diversity (degree of species dissimilarity among local sites), and gamma diversity (overall species richness) vary with spatial scale, and using a hierarchical, information-theoretic approach, we evaluate the relative importance of site-, reef-, and atoll-level processes driving the fish metacommunity structure among 10 atolls in French Polynesia. Process-based models, representing well-established hypotheses about drivers of reef-fish community structure, were assembled into a candidate set of 12 hierarchical linear models. Variation in fish abundance, biomass, and species richness were unevenly distributed among transect, reef, and atoll levels, establishing the relative contribution of variation at these spatial scales to the structure of the metacommunity. Reef-fish biomass, species richness, and the abundance of most functional-groups corresponded primarily with transect-level habitat diversity and atoll-lagoon size, whereas detritivore and grazer abundances were largely correlated with potential covariates of larval dispersal. Our findings show that (1) within-transect and among-atoll factors primarily drive the relationship between alpha and gamma diversity in this reef-fish metacommunity; (2) habitat is the primary correlate with reef-fish metacommunity structure at multiple spatial scales; and (3) inter-atoll connectedness was poorly correlated with the nonrandom clustering of reef-fish species. These results demonstrate the importance of modeling hierarchical data and processes in understanding reef-fish metacommunity structure.

RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations

PubMed Central

2012-01-01

Visualization and analysis of molecular networks are both central to systems biology. However, there still exists a large technological gap between them, especially when assessing multiple network levels or hierarchies. Here we present RedeR, an R/Bioconductor package combined with a Java core engine for representing modular networks. The functionality of RedeR is demonstrated in two different scenarios: hierarchical and modular organization in gene co-expression networks and nested structures in time-course gene expression subnetworks. Our results demonstrate RedeR as a new framework to deal with the multiple network levels that are inherent to complex biological systems. RedeR is available from http://bioconductor.org/packages/release/bioc/html/RedeR.html. PMID:22531049

A model-based analysis of impulsivity using a slot-machine gambling paradigm

PubMed Central

Paliwal, Saee; Petzschner, Frederike H.; Schmitz, Anna Katharina; Tittgemeyer, Marc; Stephan, Klaas E.

2014-01-01

Impulsivity plays a key role in decision-making under uncertainty. It is a significant contributor to problem and pathological gambling (PG). Standard assessments of impulsivity by questionnaires, however, have various limitations, partly because impulsivity is a broad, multi-faceted concept. What remains unclear is which of these facets contribute to shaping gambling behavior. In the present study, we investigated impulsivity as expressed in a gambling setting by applying computational modeling to data from 47 healthy male volunteers who played a realistic, virtual slot-machine gambling task. Behaviorally, we found that impulsivity, as measured independently by the 11th revision of the Barratt Impulsiveness Scale (BIS-11), correlated significantly with an aggregate read-out of the following gambling responses: bet increases (BIs), machines switches (MS), casino switches (CS), and double-ups (DUs). Using model comparison, we compared a set of hierarchical Bayesian belief-updating models, i.e., the Hierarchical Gaussian Filter (HGF) and Rescorla–Wagner reinforcement learning (RL) models, with regard to how well they explained different aspects of the behavioral data. We then examined the construct validity of our winning models with multiple regression, relating subject-specific model parameter estimates to the individual BIS-11 total scores. In the most predictive model (a three-level HGF), the two free parameters encoded uncertainty-dependent mechanisms of belief updates and significantly explained BIS-11 variance across subjects. Furthermore, in this model, decision noise was a function of trial-wise uncertainty about winning probability. Collectively, our results provide a proof of concept that hierarchical Bayesian models can characterize the decision-making mechanisms linked to the impulsive traits of an individual. These novel indices of gambling mechanisms unmasked during actual play may be useful for online prevention measures for at-risk players and future assessments of PG. PMID:25071497

Crucial nesting habitat for gunnison sage-grouse: A spatially explicit hierarchical approach

USGS Publications Warehouse

Aldridge, Cameron L.; Saher, D.J.; Childers, T.M.; Stahlnecker, K.E.; Bowen, Z.H.

2012-01-01

Gunnison sage-grouse (Centrocercus minimus) is a species of special concern and is currently considered a candidate species under Endangered Species Act. Careful management is therefore required to ensure that suitable habitat is maintained, particularly because much of the species' current distribution is faced with exurban development pressures. We assessed hierarchical nest site selection patterns of Gunnison sage-grouse inhabiting the western portion of the Gunnison Basin, Colorado, USA, at multiple spatial scales, using logistic regression-based resource selection functions. Models were selected using Akaike Information Criterion corrected for small sample sizes (AIC c) and predictive surfaces were generated using model averaged relative probabilities. Landscape-scale factors that had the most influence on nest site selection included the proportion of sagebrush cover >5%, mean productivity, and density of 2 wheel-drive roads. The landscape-scale predictive surface captured 97% of known Gunnison sage-grouse nests within the top 5 of 10 prediction bins, implicating 57% of the basin as crucial nesting habitat. Crucial habitat identified by the landscape model was used to define the extent for patch-scale modeling efforts. Patch-scale variables that had the greatest influence on nest site selection were the proportion of big sagebrush cover >10%, distance to residential development, distance to high volume paved roads, and mean productivity. This model accurately predicted independent nest locations. The unique hierarchical structure of our models more accurately captures the nested nature of habitat selection, and allowed for increased discrimination within larger landscapes of suitable habitat. We extrapolated the landscape-scale model to the entire Gunnison Basin because of conservation concerns for this species. We believe this predictive surface is a valuable tool which can be incorporated into land use and conservation planning as well the assessment of future land-use scenarios. ?? 2011 The Wildlife Society.

Hierarchical Bayesian Markov switching models with application to predicting spawning success of shovelnose sturgeon

USGS Publications Warehouse

Holan, S.H.; Davis, G.M.; Wildhaber, M.L.; DeLonay, A.J.; Papoulias, D.M.

2009-01-01

The timing of spawning in fish is tightly linked to environmental factors; however, these factors are not very well understood for many species. Specifically, little information is available to guide recruitment efforts for endangered species such as the sturgeon. Therefore, we propose a Bayesian hierarchical model for predicting the success of spawning of the shovelnose sturgeon which uses both biological and behavioural (longitudinal) data. In particular, we use data that were produced from a tracking study that was conducted in the Lower Missouri River. The data that were produced from this study consist of biological variables associated with readiness to spawn along with longitudinal behavioural data collected by using telemetry and archival data storage tags. These high frequency data are complex both biologically and in the underlying behavioural process. To accommodate such complexity we developed a hierarchical linear regression model that uses an eigenvalue predictor, derived from the transition probability matrix of a two-state Markov switching model with generalized auto-regressive conditional heteroscedastic dynamics. Finally, to minimize the computational burden that is associated with estimation of this model, a parallel computing approach is proposed. ?? Journal compilation 2009 Royal Statistical Society.

Clinical time series prediction: Toward a hierarchical dynamical system framework.

PubMed

Liu, Zitao; Hauskrecht, Milos

2015-09-01

Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision making. In this work, we propose and develop a novel hierarchical framework for modeling clinical time series data of varied length and with irregularly sampled observations. Our hierarchical dynamical system framework for modeling clinical time series combines advantages of the two temporal modeling approaches: the linear dynamical system and the Gaussian process. We model the irregularly sampled clinical time series by using multiple Gaussian process sequences in the lower level of our hierarchical framework and capture the transitions between Gaussian processes by utilizing the linear dynamical system. The experiments are conducted on the complete blood count (CBC) panel data of 1000 post-surgical cardiac patients during their hospitalization. Our framework is evaluated and compared to multiple baseline approaches in terms of the mean absolute prediction error and the absolute percentage error. We tested our framework by first learning the time series model from data for the patients in the training set, and then using it to predict future time series values for the patients in the test set. We show that our model outperforms multiple existing models in terms of its predictive accuracy. Our method achieved a 3.13% average prediction accuracy improvement on ten CBC lab time series when it was compared against the best performing baseline. A 5.25% average accuracy improvement was observed when only short-term predictions were considered. A new hierarchical dynamical system framework that lets us model irregularly sampled time series data is a promising new direction for modeling clinical time series and for improving their predictive performance. Copyright © 2014 Elsevier B.V. All rights reserved.

Hierarchical process memory: memory as an integral component of information processing

PubMed Central

Hasson, Uri; Chen, Janice; Honey, Christopher J.

2015-01-01

Models of working memory commonly focus on how information is encoded into and retrieved from storage at specific moments. However, in the majority of real-life processes, past information is used continuously to process incoming information across multiple timescales. Considering single unit, electrocorticography, and functional imaging data, we argue that (i) virtually all cortical circuits can accumulate information over time, and (ii) the timescales of accumulation vary hierarchically, from early sensory areas with short processing timescales (tens to hundreds of milliseconds) to higher-order areas with long processing timescales (many seconds to minutes). In this hierarchical systems perspective, memory is not restricted to a few localized stores, but is intrinsic to information processing that unfolds throughout the brain on multiple timescales. “The present contains nothing more than the past, and what is found in the effect was already in the cause.”Henri L Bergson PMID:25980649

Do drug treatment variables predict cognitive performance in multidrug-treated opioid-dependent patients? A regression analysis study

PubMed Central

2012-01-01

Background Cognitive deficits and multiple psychoactive drug regimens are both common in patients treated for opioid-dependence. Therefore, we examined whether the cognitive performance of patients in opioid-substitution treatment (OST) is associated with their drug treatment variables. Methods Opioid-dependent patients (N = 104) who were treated either with buprenorphine or methadone (n = 52 in both groups) were given attention, working memory, verbal, and visual memory tests after they had been a minimum of six months in treatment. Group-wise results were analysed by analysis of variance. Predictors of cognitive performance were examined by hierarchical regression analysis. Results Buprenorphine-treated patients performed statistically significantly better in a simple reaction time test than methadone-treated ones. No other significant differences between groups in cognitive performance were found. In each OST drug group, approximately 10% of the attention performance could be predicted by drug treatment variables. Use of benzodiazepine medication predicted about 10% of performance variance in working memory. Treatment with more than one other psychoactive drug (than opioid or BZD) and frequent substance abuse during the past month predicted about 20% of verbal memory performance. Conclusions Although this study does not prove a causal relationship between multiple prescription drug use and poor cognitive functioning, the results are relevant for psychosocial recovery, vocational rehabilitation, and psychological treatment of OST patients. Especially for patients with BZD treatment, other treatment options should be actively sought. PMID:23121989

Hierarchical Linear Modeling (HLM): An Introduction to Key Concepts within Cross-Sectional and Growth Modeling Frameworks. Technical Report #1308

ERIC Educational Resources Information Center

Anderson, Daniel

2012-01-01

This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLM is tremendously flexible, allowing researchers to specify relations across multiple "levels" of the educational system (e.g., students, classrooms, schools, etc.).…

The k-d Tree: A Hierarchical Model for Human Cognition.

ERIC Educational Resources Information Center

Vandendorpe, Mary M.

This paper discusses a model of information storage and retrieval, the k-d tree (Bentley, 1975), a binary, hierarchical tree with multiple associate terms, which has been explored in computer research, and it is suggested that this model could be useful for describing human cognition. Included are two models of human long-term memory--networks and…

Covariates of the Rating Process in Hierarchical Models for Multiple Ratings of Test Items

ERIC Educational Resources Information Center

Mariano, Louis T.; Junker, Brian W.

2007-01-01

When constructed response test items are scored by more than one rater, the repeated ratings allow for the consideration of individual rater bias and variability in estimating student proficiency. Several hierarchical models based on item response theory have been introduced to model such effects. In this article, the authors demonstrate how these…

Detecting a Change in School Performance: A Bayesian Analysis for a Multilevel Join Point Problem. CSE Technical Report 542.

ERIC Educational Resources Information Center

Thum, Yeow Meng; Bhattacharya, Suman Kumar

To better describe individual behavior within a system, this paper uses a sample of longitudinal test scores from a large urban school system to consider hierarchical Bayes estimation of a multilevel linear regression model in which each individual regression slope of test score on time switches at some unknown point in time, "kj."…

Attributions and self-efficacy for physical activity in multiple sclerosis.

PubMed

Nickel, D; Spink, K; Andersen, M; Knox, K

2014-01-01

Self-efficacy is an important predictor of health-related physical activity in multiple sclerosis (MS). While past experiences are believed to influence efficacy beliefs, the explanations individuals provide for these experiences also may be critical. Our objective was to test the hypothesis that perceived success or failure to accumulate 150 min of physical activity in the previous week would moderate the relationship between the attributional dimension of stability and self-efficacy to exercise in the future. Forty-two adults with MS participated in this cross-sectional descriptive study. Participants completed questions assessing physical activity, perceived outcome for meeting the recommended level of endurance activity, attributions for the outcome, and exercise self-efficacy. Results from hierarchical multiple regression revealed a significant main effect for perceived outcome predicting self-efficacy that was qualified by a significant interaction. The final model, which included perceived outcome, stability, and the interaction term, predicted 37% of the variance in exercise self-efficacy, F (3, 38) = 7.27, p = .001. Our findings suggest that the best prediction of self-efficacy in the MS population may include the interaction of specific attributional dimensions with success/failure at meeting the recommended physical activity dose. Attributions may be another target for interventions aimed at increasing the physical activity in MS.

The Protective Role of Resilience in Attenuating Emotional Distress and Aggression Associated with Early-life Stress in Young Enlisted Military Service Candidates.

PubMed

Kim, Joohan; Seok, Jeong-Ho; Choi, Kang; Jon, Duk-In; Hong, Hyun Ju; Hong, Narei; Lee, Eunjeong

2015-11-01

Early life stress (ELS) may induce long-lasting psychological complications in adulthood. The protective role of resilience against the development of psychopathology is also important. The purpose of this study was to investigate the relationships among ELS, resilience, depression, anxiety, and aggression in young adults. Four hundred sixty-one army inductees gave written informed consent and participated in this study. We assessed psychopathology using the Korea Military Personality Test, ELS using the Childhood Abuse Experience Scale, and resilience with the resilience scale. Analyses of variance, correlation analyses, and hierarchical multiple linear regression analyses were conducted for statistical analyses. The regression model explained 35.8%, 41.0%, and 23.3% of the total variance in the depression, anxiety, and aggression indices, respectively. We can find that even though ELS experience is positively associated with depression, anxiety, and aggression, resilience may have significant attenuating effect against the ELS effect on severity of these psychopathologies. Emotion regulation showed the most beneficial effect among resilience factors on reducing severity of psychopathologies. To improve mental health for young adults, ELS assessment and resilience enhancement program should be considered.

The Protective Role of Resilience in Attenuating Emotional Distress and Aggression Associated with Early-life Stress in Young Enlisted Military Service Candidates

PubMed Central

Kim, Joohan; Choi, Kang; Jon, Duk-In; Hong, Hyun Ju; Hong, Narei; Lee, Eunjeong

2015-01-01

Early life stress (ELS) may induce long-lasting psychological complications in adulthood. The protective role of resilience against the development of psychopathology is also important. The purpose of this study was to investigate the relationships among ELS, resilience, depression, anxiety, and aggression in young adults. Four hundred sixty-one army inductees gave written informed consent and participated in this study. We assessed psychopathology using the Korea Military Personality Test, ELS using the Childhood Abuse Experience Scale, and resilience with the resilience scale. Analyses of variance, correlation analyses, and hierarchical multiple linear regression analyses were conducted for statistical analyses. The regression model explained 35.8%, 41.0%, and 23.3% of the total variance in the depression, anxiety, and aggression indices, respectively. We can find that even though ELS experience is positively associated with depression, anxiety, and aggression, resilience may have significant attenuating effect against the ELS effect on severity of these psychopathologies. Emotion regulation showed the most beneficial effect among resilience factors on reducing severity of psychopathologies. To improve mental health for young adults, ELS assessment and resilience enhancement program should be considered. PMID:26539013

[Analysis of intrusion errors in free recall].

PubMed

Diesfeldt, H F A

2017-06-01

Extra-list intrusion errors during five trials of the eight-word list-learning task of the Amsterdam Dementia Screening Test (ADST) were investigated in 823 consecutive psychogeriatric patients (87.1% suffering from major neurocognitive disorder). Almost half of the participants (45.9%) produced one or more intrusion errors on the verbal recall test. Correct responses were lower when subjects made intrusion errors, but learning slopes did not differ between subjects who committed intrusion errors and those who did not so. Bivariate regression analyses revealed that participants who committed intrusion errors were more deficient on measures of eight-word recognition memory, delayed visual recognition and tests of executive control (the Behavioral Dyscontrol Scale and the ADST-Graphical Sequences as measures of response inhibition). Using hierarchical multiple regression, only free recall and delayed visual recognition retained an independent effect in the association with intrusion errors, such that deficient scores on tests of episodic memory were sufficient to explain the occurrence of intrusion errors. Measures of inhibitory control did not add significantly to the explanation of intrusion errors in free recall, which makes insufficient strength of memory traces rather than a primary deficit in inhibition the preferred account for intrusion errors in free recall.

Why We (Usually) Don't Have to Worry about Multiple Comparisons

ERIC Educational Resources Information Center

Gelman, Andrew; Hill, Jennifer; Yajima, Masanao

2012-01-01

Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian…

Quantifying the Hierarchical Order in Self-Aligned Carbon Nanotubes from Atomic to Micrometer Scale.

PubMed

Meshot, Eric R; Zwissler, Darwin W; Bui, Ngoc; Kuykendall, Tevye R; Wang, Cheng; Hexemer, Alexander; Wu, Kuang Jen J; Fornasiero, Francesco

2017-06-27

Fundamental understanding of structure-property relationships in hierarchically organized nanostructures is crucial for the development of new functionality, yet quantifying structure across multiple length scales is challenging. In this work, we used nondestructive X-ray scattering to quantitatively map the multiscale structure of hierarchically self-organized carbon nanotube (CNT) "forests" across 4 orders of magnitude in length scale, from 2.0 Å to 1.5 μm. Fully resolved structural features include the graphitic honeycomb lattice and interlayer walls (atomic), CNT diameter (nano), as well as the greater CNT ensemble (meso) and large corrugations (micro). Correlating orientational order across hierarchical levels revealed a cascading decrease as we probed finer structural feature sizes with enhanced sensitivity to small-scale disorder. Furthermore, we established qualitative relationships for single-, few-, and multiwall CNT forest characteristics, showing that multiscale orientational order is directly correlated with number density spanning 10 9 -10 12 cm -2 , yet order is inversely proportional to CNT diameter, number of walls, and atomic defects. Lastly, we captured and quantified ultralow-q meridional scattering features and built a phenomenological model of the large-scale CNT forest morphology, which predicted and confirmed that these features arise due to microscale corrugations along the vertical forest direction. Providing detailed structural information at multiple length scales is important for design and synthesis of CNT materials as well as other hierarchically organized nanostructures.

OBSERVATIONS OF HIERARCHICAL SOLAR-TYPE MULTIPLE STAR SYSTEMS

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

Roberts, Lewis C. Jr.; Tokovinin, Andrei; Mason, Brian D.

2015-10-15

Twenty multiple stellar systems with solar-type primaries were observed at high angular resolution using the PALM-3000 adaptive optics system at the 5 m Hale telescope. The goal was to complement the knowledge of hierarchical multiplicity in the solar neighborhood by confirming recent discoveries by the visible Robo-AO system with new near-infrared observations with PALM-3000. The physical status of most, but not all, of the new pairs is confirmed by photometry in the Ks band and new positional measurements. In addition, we resolved for the first time five close sub-systems: the known astrometric binary in HIP 17129AB, companions to the primariesmore » of HIP 33555, and HIP 118213, and the companions to the secondaries in HIP 25300 and HIP 101430. We place the components on a color–magnitude diagram and discuss each multiple system individually.« less

An Energy Efficient Cooperative Hierarchical MIMO Clustering Scheme for Wireless Sensor Networks

PubMed Central

Nasim, Mehwish; Qaisar, Saad; Lee, Sungyoung

2012-01-01

In this work, we present an energy efficient hierarchical cooperative clustering scheme for wireless sensor networks. Communication cost is a crucial factor in depleting the energy of sensor nodes. In the proposed scheme, nodes cooperate to form clusters at each level of network hierarchy ensuring maximal coverage and minimal energy expenditure with relatively uniform distribution of load within the network. Performance is enhanced by cooperative multiple-input multiple-output (MIMO) communication ensuring energy efficiency for WSN deployments over large geographical areas. We test our scheme using TOSSIM and compare the proposed scheme with cooperative multiple-input multiple-output (CMIMO) clustering scheme and traditional multihop Single-Input-Single-Output (SISO) routing approach. Performance is evaluated on the basis of number of clusters, number of hops, energy consumption and network lifetime. Experimental results show significant energy conservation and increase in network lifetime as compared to existing schemes. PMID:22368459

The effects of normal aging on multiple aspects of financial decision-making

PubMed Central

Bangma, Dorien F.; Fuermaier, Anselm B. M.; Tucha, Lara; Tucha, Oliver; Koerts, Janneke

2017-01-01

Objectives Financial decision-making (FDM) is crucial for independent living. Due to cognitive decline that accompanies normal aging, older adults might have difficulties in some aspects of FDM. However, an improved knowledge, personal experience and affective decision-making, which are also related to normal aging, may lead to a stable or even improved age-related performance in some other aspects of FDM. Therefore, the present explorative study examines the effects of normal aging on multiple aspects of FDM. Methods One-hundred and eighty participants (range 18–87 years) were assessed with eight FDM tests and several standard neuropsychological tests. Age effects were evaluated using hierarchical multiple regression analyses. The validity of the prediction models was examined by internal validation (i.e. bootstrap resampling procedure) as well as external validation on another, independent, sample of participants (n = 124). Multiple regression and correlation analyses were applied to investigate the mediation effect of standard measures of cognition on the observed effects of age on FDM. Results On a relatively basic level of FDM (e.g., paying bills or using FDM styles) no significant effects of aging were found. However more complex FDM, such as making decisions in accordance with specific rules, becomes more difficult with advancing age. Furthermore, an older age was found to be related to a decreased sensitivity for impulsive buying. These results were confirmed by the internal and external validation analyses. Mediation effects of numeracy and planning were found to explain parts of the association between one aspect of FDM (i.e. Competence in decision rules) and age; however, these cognitive domains were not able to completely explain the relation between age and FDM. Conclusion Normal aging has a negative influence on a complex aspect of FDM, however, other aspects appear to be unaffected by normal aging or improve. PMID:28792973

Family Functioning and Dysfunctional Eating Among Italian Adolescents: The Moderating Role of Gender.

PubMed

Laghi, Fiorenzo; McPhie, Meghan L; Baumgartner, Emma; Rawana, Jennine S; Pompili, Sara; Baiocco, Roberto

2016-02-01

The first aim of this study was to examine the association between different dimensions of family functioning and dysfunctional eating in a sample of Italian adolescent boys and girls. The second aim was to investigate whether gender moderates the relationship between family functioning and dysfunctional eating. Seven hundred and twenty seven adolescents (500 boys and 227 girls) with ages ranging from 15 to 18 years completed a survey of self-report measures. Findings from hierarchical multiple regression analysis suggested that aspects of family functioning such as flexibility, cohesion, disengagement, enmeshment, rigidity and chaotic were related to dysfunctional eating in adolescents. Additionally the results indicated differences between boys and girls, in particular dysfunctional eating in adolescent boys seemed to be more affected by dimensions of enmeshment and disengagement than dysfunctional eating in girls. This research highlights the important role of various aspects of family functioning in relation to dysfunctional eating in adolescents.

Self-efficacy for controlling upsetting thoughts and emotional eating in family caregivers.

PubMed

MacDougall, Megan; Steffen, Ann

2017-10-01

Self-efficacy for controlling upsetting thoughts was examined as a predictor of emotional eating by family caregivers of physically and cognitively impaired older adults. Adult women (N = 158) providing healthcare assistance for an older family member completed an online survey about caregiving stressors, depressive symptoms, self-efficacy, and emotional eating. A stress process framework was used as a conceptual model to guide selection of variables predicting emotional eating scores. A hierarchical multiple regression was conducted and the overall model was significant (R 2 = .21, F(4,153) = 10.02, p < .01); self-efficacy for controlling upsetting thoughts was a significant predictor of caregivers' emotional eating scores after accounting for IADL, role overload, and depression scores. These findings replicate previous research demonstrating the relationship between managing cognitions about caregiving and behavioral responses to stressors, and point to the importance of addressing cognitive processes in efforts to improve caregiver health behaviors.

Using integrated information systems in supply chain management

NASA Astrophysics Data System (ADS)

Gonzálvez-Gallego, Nicolás; Molina-Castillo, Francisco-Jose; Soto-Acosta, Pedro; Varajao, Joao; Trigo, Antonio

2015-02-01

The aim of this paper is to empirically test not only the direct effects of information and communication technology (ICT) capabilities and integrated information systems (IS) on firm performance, but also the moderating role of IS integration along the supply chain in the relationship between ICT external and capabilities and business performance. Data collected from 102 large Iberian firms from Spain and Portugal are used to test the research model. The hierarchical multiple regression analysis is employed to test the direct effects and the moderating relationships proposed. Results show that external and internal ICT capabilities are important drivers of firm performance, while merely having integrated IS do not lead to better firm performance. In addition, a moderating effect of IS integration in the relationship between ICT capabilities and business performance is found, although this integration only contributes to firm performance when it is directed to connect with suppliers or customers rather than when integrating the whole supply chain.

Incremental validity of the Minnesota Multiphasic Personality Inventory-2 and symptom checklist-90-revised with mental health inpatients.

PubMed

Simonds, Elise C; Handel, Richard W; Archer, Robert P

2008-03-01

This study evaluated the incremental validity of scores from the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) and the Symptom Checklist-90-Revised (SCL-90-R) in a sample of mental health inpatients originally published by Archer, Griffin, and Aiduk (1995). The incremental validity of scores from the SCL-90-R primary symptom dimensions and MMPI-2 Clinical, Content, and Restructured Clinical scales was assessed in a sample of 544 mental health inpatients using conceptually related items from the Brief Psychiatric Rating Scale (BPRS) as criteria. A series of hierarchical multiple regressions indicated that scores from the SCL-90-R primary symptom dimensions exhibited limited incremental validity (Mdn DeltaR(2) = .01, range = 0-.01), whereas scores from MMPI-2 scales contributed additional information in the prediction of ratings on all but one BPRS item (Mdn DeltaR( 2) = .08, range = .04-.12).

Different Patterns in Health Care Use Among Immigrants in Spain.

PubMed

Villarroel, Nazmy; Artazcoz, Lucía

2016-04-01

This study aims to analyze the differences in the use of primary care (PC), hospital, and emergency services between people born in Spain and immigrants. Data were obtained from the 2006 Spanish National Health Survey. The sample was composed of individuals aged 16-64 years from Spain and the seven countries with most immigrants in Spain (n = 22,224). Hierarchical multiple logistic regression models were fitted. Romanian men were less likely to use health care at all levels compared to men from other countries. Women from Argentina, Bolivia and Ecuador reported a lower use of PC. Among women, there were no differences in emergency visits or hospitalizations between countries. Bolivian men reported more hospitalizations than Spanish men, whereas Argentinean men reported more emergency visits than their Spanish counterparts. In Spain, most immigrants made less than, or about the same use of health care services as the native Spanish population.

Alexithymia and burnout in nursing students.

PubMed

Katsifaraki, Maria; Tucker, Philip

2013-11-01

Although previous studies have indicated an association between alexithymia and burnout, they have not controlled for well-established organizational factors, depression, and coping mechanisms that could confound the relationship. This study investigated the association between alexithymia and occupational burnout. One hundred eighty-three nursing students were assessed up to 3 months before graduating from their program. Alexithymia was measured with the Toronto Alexithymia Scale, occupational burnout was measured with the Maslach Burnout Inventory, work-related factors were measured with the Areas of Worklife Survey, depression was measured with Beck Depression Inventory-II, and coping strategies were measured with the COPE Dispositional Inventory. Hierarchical multiple regressions indicated that externally oriented thinking style was significantly associated with personal accomplishment and depersonalization after adjusting for depression, coping, and work-related factors. The results indicate that only a single aspect of the alexithymia construct serves as a possibly independent predisposing factor for specific burnout dimensions. Copyright 2013, SLACK Incorporated.

Children with obesity: peer influence as a predictor of body dissatisfaction.

PubMed

Amaya-Hernández, Adriana; Ortega-Luyando, Mayaro; Bautista-Díaz, María Leticia; Alvarez-Rayón, Georgina L; Mancilla-Díaz, Juan Manuel

2017-03-07

To analyze self-esteem, as well as the different peer influence components (messages, interactions and likability) as predictors of body dissatisfaction in children with obesity. A total of 123 children aged between 10 and 12 years were divided into two groups according to their body mass index. The group with obesity was comprised of 36 boys and 21 girls and the group with normal weight of 32 boys and 34 girls. All of the participants answered the Body Shape Questionnaire-16, the Inventory of Peer Influence on Eating Concerns, and the Rosenberg Self-Esteem Scale. The hierarchical multiple regression analysis for each group showed that likability and peer messages explain 67% of the body dissatisfaction variance in children with obesity and 54% in children with normal weight. Peer influence predicted body dissatisfaction in children; however, children with obesity assimilate messages from their peers differently compared with children with normal weight.

Evidence for the Propositions of the Interpersonal Theory of Suicide Among a Military Sample.

PubMed

Silva, Caroline; Hagan, Christopher R; Rogers, Megan L; Chiurliza, Bruno; Podlogar, Matthew C; Hom, Melanie A; Tzoneva, Mirela; Lim, Ingrid C; Joiner, Thomas E

2017-06-01

Although the interpersonal theory of suicide may explain the elevated suicide risk among military service members, past explorations have been equivocal. This study aimed to investigate the propositions of the interpersonal theory in a sample of U.S. Army recruiters. Participants (N = 3,428) completed self-report measures assessing the interpersonal theory's constructs (i.e., thwarted belongingness (TB), perceived burdensomeness (PB), acquired capability for suicide), current suicidal ideation, agitation, and insomnia. History of depression was obtained from medical records. Hierarchical multiple regression analyses revealed that the interaction between TB and PB was associated with current suicidal ideation, controlling for depression, agitation, and insomnia. This effect was especially notable among those with high capability for suicide. Findings provide support for the interpersonal theory in a large, diverse military sample. It may be advantageous to assess and therapeutically address TB and PB among at-risk service members. © 2016 Wiley Periodicals, Inc.

[Influence of childbirth experience and postpartum depression on quality of life in women after birth].

PubMed

Yeo, Jung Hee; Chun, Nami

2013-02-01

The purpose of this study was to identify influence of childbirth experience and postpartum depression on quality of life in women after birth. Two hundred and eleven postpartum women were asked to complete the questionnaires on their childbirth experience during their admission and on their postpartum depression and quality of life between one to three weeks after birth. Initial data were collected from February 1 to May 30, 2011 at two obstetric hospitals in Busan, Korea. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. The women's childbirth experience and postpartum depression were identified as factors influencing quality of life after birth. The model explained 50% of the variables. Results suggest that childbirth educators should include strategies to increase a positive childbirth experience and to decrease postpartum depression in their education programs in order to improve women's quality of life.

imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel.

PubMed

Grapov, Dmitry; Newman, John W

2012-09-01

Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010).

Sensation seeking and alcohol use by college students: examining multiple pathways of effects.

PubMed

Yanovitzky, Itzhak

2006-01-01

This study tests the proposition that peer influence mediates the effect of sensation seeking, a personality trait, on alcohol use among college students. Cross-sectional data to test this proposition were collected from a representative sample of college students at a large public northeastern university (N = 427). Results of hierarchical regression analyses showed that, as hypothesized, sensation seeking influenced personal alcohol use both directly and indirectly, through its impact on students' frequency of association with alcohol-using peers and the size of their drinking norm misperception. The findings suggest that interventions that seek to limit the frequency in which high sensation seekers associate with peers whose alcohol use is extreme or, alternatively, seek to facilitate social interactions of high sensation seekers with normative peers, may supplement efforts to influence sensation seekers' alcohol and other drug use through tailored mass media advertisements.

Understanding women's mammography intentions: a theory-based investigation.

PubMed

Naito, Mikako; O'Callaghan, Frances V; Morrissey, Shirley

2009-01-01

The present study compared the utility of two models (the Theory of Planned Behavior and Protection Motivation Theory) in identifying factors associated with intentions to undertake screening mammography, before and after an intervention. The comparison was made between the unique components of the two models. The effect of including implementation intentions was also investigated. Two hundred and fifty-one women aged 37 to 69 years completed questionnaires at baseline and following the delivery of a standard (control) or a protection motivation theory-based informational intervention. Hierarchical multiple regressions indicated that theory of planned behavior variables were associated with mammography intentions. Results also showed that inclusion of implementation intention in the model significantly increased the association with mammography intentions. The findings suggest that future interventions aiming to increase screening mammography participation should focus on the theory of planned behavior variables and that implementation intention should also be targeted.

Bayesian Group Bridge for Bi-level Variable Selection.

PubMed

Mallick, Himel; Yi, Nengjun

2017-06-01

A Bayesian bi-level variable selection method (BAGB: Bayesian Analysis of Group Bridge) is developed for regularized regression and classification. This new development is motivated by grouped data, where generic variables can be divided into multiple groups, with variables in the same group being mechanistically related or statistically correlated. As an alternative to frequentist group variable selection methods, BAGB incorporates structural information among predictors through a group-wise shrinkage prior. Posterior computation proceeds via an efficient MCMC algorithm. In addition to the usual ease-of-interpretation of hierarchical linear models, the Bayesian formulation produces valid standard errors, a feature that is notably absent in the frequentist framework. Empirical evidence of the attractiveness of the method is illustrated by extensive Monte Carlo simulations and real data analysis. Finally, several extensions of this new approach are presented, providing a unified framework for bi-level variable selection in general models with flexible penalties.

Social integration of people with severe mental illness: relationships between symptom severity, professional assistance, and natural support.

PubMed

Tsai, Jack; Desai, Rani A; Rosenheck, Robert A

2012-04-01

Reducing dependency on professionals and social integration has been a major goal of recovery-oriented mental health services. This cross-sectional study examined 531 male outpatients at three public mental health centers in Southern Connecticut. Hierarchical multiple regression analyses were conducted to answer: (1) Do clients who have more severe clinical problems rely more on professional support and mental health services, and rely less on natural supports? (2) Do clients who have greater natural supports rely less on professional support and mental health services? Results found clients with more severe clinical problems do not rely more on professional support and report less natural social support. Natural support was also found to be a complement, rather than a substitute for professional support. These findings suggest the social integration of male clients with severe mental illness may include being more connected to mental health providers even as they develop increasing natural supports.

Bullying and sexual harassment among Brazilian high school students.

PubMed

DeSouza, Eros R; Ribeiro, J'aims

2005-09-01

Bullying and sexual harassment at school have received recent attention in developed countries; however, they have been neglected in Latin America. Thus, the authors investigated these phenomena among 400 Brazilian high school students from two high schools (one private and one public). Analyses using t-tests showed that boys bullied and sexually harassed their peers more often than girls did. Hierarchical multiple regression analyses showed that boys and girls who scored high on general misconduct bullied their peers more often than those who scored low on general misconduct. Boys who believed they would be punished by their teachers for bullying and who scored low on benevolent sexism bullied more often than boys who believed they would not be punished by their teachers and who scored high on benevolent sexism. Moreover, bullying predicted peer sexual harassment for boys and girls. Recommendations to prevent bullying and sexual harassment are offered.

THE RELATIONSHIP BETWEEN CULTURAL IDENTITY AND SELF-ESTEEM AMONG CHINESE UYGHUR COLLEGE STUDENTS: THE MEDIATING ROLE OF ACCULTURATION ATTITUDES.

PubMed

Dong, Li; Lin, Chongde; Li, Tsingan; Dou, Donghui; Zhou, Liqing

2015-08-01

Most acculturation research throughout the world has been conducted in immigrant settings. In order to examine the generalizability of the previous conclusions in immigrant settings, the present study tried to explore the relationship between cultural identity and self-esteem and the mediating role of acculturation attitudes in China. Using the cross-sectional design, a total number of 342 Uyghur college students were asked to complete a survey comprising the Multi-Group Ethnic/National Identity Measure-Revised Scale, the Acculturation Attitudes Scale, and the Rosenberg Self-Esteem Scale. Using hierarchical multiple regression, the results indicated that cultural identity was positively correlated with self-esteem. A significant mediation of acculturation was observed between cultural identity and self-esteem. These findings demonstrated the significance of cultural identity and acculturation attitudes in the adaptation of Chinese Uyghur college students, in which integration is an optimal acculturation attitude.

The relationship between South Korean clinical nurses' attitudes toward organizations and voluntary turnover intention: A path analysis.

PubMed

Kim, Jong Kyung; Chang, Sun Ju

2015-08-01

The purpose of this study was to examine the relationship between attitudes toward their organizations and voluntary turnover intention among South Korean clinical nurses. Data from a total of 312 clinical nurses in six hospitals in South Korea were collected for the study. Both hierarchical multiple regression analysis and path analysis were used to analyse the data. The overall fit of the hypothetical model was good. Voluntary turnover intention was found to have significant direct pathways to job embeddedness and organizational commitment. Organizational commitment and satisfaction with organizational rewards had indirect pathways to voluntary turnover intention through job embeddedness. All variances explained 62.3% of the voluntary turnover intention scores. The findings suggest that greater job embeddedness, organizational commitment and satisfaction with organizational rewards lead to lower voluntary turnover intention among clinical nurses in South Korea. © 2014 Wiley Publishing Asia Pty Ltd.

Self-control, self-regulation, and doping in sport: a test of the strength-energy model.

PubMed

Chan, Derwin K; Lentillon-Kaestner, Vanessa; Dimmock, James A; Donovan, Robert J; Keatley, David A; Hardcastle, Sarah J; Hagger, Martin S

2015-04-01

We applied the strength-energy model of self-control to understand the relationship between self-control and young athletes' behavioral responses to taking illegal performance-enhancing substances, or "doping." Measures of trait self-control, attitude and intention toward doping, intention toward, and adherence to, doping-avoidant behaviors, and the prevention of unintended doping behaviors were administered to 410 young Australian athletes. Participants also completed a "lollipop" decision-making protocol that simulated avoidance of unintended doping. Hierarchical linear multiple regression analyses revealed that self-control was negatively associated with doping attitude and intention, and positively associated with the intention and adherence to doping-avoidant behaviors, and refusal to take or eat the unfamiliar candy offered in the "lollipop" protocol. Consistent with the strength-energy model, athletes with low self-control were more likely to have heightened attitude and intention toward doping, and reduced intention, behavioral adherence, and awareness of doping avoidance.

Correlates of Social Support Among Latino Immigrants.

PubMed

Held, Mary L

2018-04-01

Latino immigrants encounter considerable stressors that pose risks to health and well-being during settlement in the USA. Social support serves as a protective factor that can help to buffer the negative effects of stress. Despite the importance of social support, we know little about how Latino immigrants differentially experience this protective factor. The current study analyzed data from 100 Latino immigrants residing in Tennessee. Hierarchical multiple regression analysis was employed to examine variation in self-reported social support by immigrant characteristics and immigration-related factors. Females, immigrants who are not married/cohabitating, and those who reported experiencing a greater number of discrete stressors in the USA each reported lower levels of social support. Implications for practice include an increased emphasis on assessing levels of social support and designing services to strengthen support for the most vulnerable immigrants. Future research should consider a longitudinal analysis and specific types of social support.

Exposure to Violence, Substance Use, and Neighborhood Context

PubMed Central

Wright, Emily M.; Pinchevsky, Gillian M.

2014-01-01

Adolescent exposure to violence and substance use are both public health problems, but how neighborhood context contributes to these outcomes is unclear. This study uses prospective data from 1,416 adolescents to examine the direct and interacting influences of victimization and neighborhood factors on adolescent substance use. Based on hierarchical Bernoulli regression models that controlled for prior substance use and multiple individual-level factors, exposure to violence significantly increased the likelihood of marijuana use but not alcohol use or binge drinking. There was little evidence that community norms regarding adolescent substance use influenced rates of substance use or moderated the impact of victimization. Community disadvantage did not directly impact substance use, but the relationship between victimization and marijuana use was stronger for those in neighborhoods with greater disadvantage. The results suggest that victimization is particularly likely to affect adolescents’ marijuana use, and that this relationship may be contingent upon neighborhood economic conditions. PMID:25432621

The Role of Structural Barriers in Risky Sexual Behavior, Victimization and Readiness to Change HIV/STI-Related Risk Behavior Among Transgender Women.

PubMed

Raiford, Jerris L; Hall, Grace J; Taylor, Raekiela D; Bimbi, David S; Parsons, Jeffrey T

2016-10-01

This study examines the role of structural barriers experienced by a community-based sample of 63 HIV-positive and negative transgender women that may elevate HIV infection and transmission risks. Separate hierarchical linear multiple regression analyses tested the association between structural barriers (e.g., unemployment, lack of food, shelter) and condomless anal sex acts, abuse, and readiness to change risk behavior, while controlling for other related factors. Among this primarily Hispanic and African-American sample, HIV-positive and negative transgender women experienced a similar number of structural barriers and experiencing structural barriers was significantly associated with an increased number of condomless anal sex acts (p = .002), victimization (p = .000) and a decreased readiness to change HIV-related risk behavior (p = .014). Structural-level interventions are needed to address this elevated risk among this underserved and hard-to-reach population.

Predicting employees' well-being using work-family conflict and job strain models.

PubMed

Karimi, Leila; Karimi, Hamidreza; Nouri, Aboulghassem

2011-04-01

The present study examined the effects of two models of work–family conflict (WFC) and job-strain on the job-related and context-free well-being of employees. The participants of the study consisted of Iranian employees from a variety of organizations. The effects of three dimensions of the job-strain model and six forms of WFC on affective well-being were assessed. The results of hierarchical multiple regression analysis revealed that the number of working hours, strain-based work interfering with family life (WIF) along with job characteristic variables (i.e. supervisory support, job demands and job control) all make a significant contribution to the prediction of job-related well-being. On the other hand, strain-based WIF and family interfering with work (FIW) significantly predicted context-free well-being. Implications are drawn and recommendations made regarding future research and interventions in the workplace.

The Social Context of Depression Symptomology in Sexual Minority Male Youth: Determinants of Depression in a Sample of Grindr Users.

PubMed

Gibbs, Jeremy J; Rice, Eric

2016-01-01

The purpose of this study was to understand which social context factors most influence depression symptomology among sexual minority male youth (SMMY). In 2011, 195 SMMY who use Grindr were recruited to complete an online survey in Los Angeles, California. Items focused on social context variables and depression symptomology. Hierarchical multiple regressions were conducted using an ecological framework. The best fitting model accounted for 29.5% of the variance in depression. Experiences of homophobia, gay community connection, presence of an objecting network member, and emotional support were found to be significant predictors. Past experiences of homophobia continuing to affect youth indicates the need for intervention to reduction of homophobia in youths' social contexts. Interventions that teach youth skills to manage objecting viewpoints or help youth to reorganize their social networks may help to reduce the impact of an objecting network alter.

Functional genomic Landscape of Human Breast Cancer drivers, vulnerabilities, and resistance

PubMed Central

Marcotte, Richard; Sayad, Azin; Brown, Kevin R.; Sanchez-Garcia, Felix; Reimand, Jüri; Haider, Maliha; Virtanen, Carl; Bradner, James E.; Bader, Gary D.; Mills, Gordon B.; Pe’er, Dana; Moffat, Jason; Neel, Benjamin G.

2016-01-01

Summary Large-scale genomic studies have identified multiple somatic aberrations in breast cancer, including copy number alterations, and point mutations. Still, identifying causal variants and emergent vulnerabilities that arise as a consequence of genetic alterations remain major challenges. We performed whole genome shRNA “dropout screens” on 77 breast cancer cell lines. Using a hierarchical linear regression algorithm to score our screen results and integrate them with accompanying detailed genetic and proteomic information, we identify vulnerabilities in breast cancer, including candidate “drivers,” and reveal general functional genomic properties of cancer cells. Comparisons of gene essentiality with drug sensitivity data suggest potential resistance mechanisms, effects of existing anti-cancer drugs, and opportunities for combination therapy. Finally, we demonstrate the utility of this large dataset by identifying BRD4 as a potential target in luminal breast cancer, and PIK3CA mutations as a resistance determinant for BET-inhibitors. PMID:26771497

Who Chokes Under Pressure? The Big Five Personality Traits and Decision-Making under Pressure.

PubMed

Byrne, Kaileigh A; Silasi-Mansat, Crina D; Worthy, Darrell A

2015-02-01

The purpose of the present study was to examine whether the Big Five personality factors could predict who thrives or chokes under pressure during decision-making. The effects of the Big Five personality factors on decision-making ability and performance under social (Experiment 1) and combined social and time pressure (Experiment 2) were examined using the Big Five Personality Inventory and a dynamic decision-making task that required participants to learn an optimal strategy. In Experiment 1, a hierarchical multiple regression analysis showed an interaction between neuroticism and pressure condition. Neuroticism negatively predicted performance under social pressure, but did not affect decision-making under low pressure. Additionally, the negative effect of neuroticism under pressure was replicated using a combined social and time pressure manipulation in Experiment 2. These results support distraction theory whereby pressure taxes highly neurotic individuals' cognitive resources, leading to sub-optimal performance. Agreeableness also negatively predicted performance in both experiments.

Transracially adoptive parents' color-blind attitudes and views toward socialization: Cross-racial friendships as a moderator.

PubMed

Langrehr, Kimberly J

2014-10-01

This study examined the moderating role of transracially adoptive parents' cross-racial friendships in the relationship between their color-blind attitudes and views toward cultural and racial socialization. Using hierarchical multiple regression analyses and the Johnson-Neyman technique, it was hypothesized that parents' color-blind attitudes would significantly account for 3 different dimensions of socialization beliefs (i.e., prejudice awareness, ethnic pride, and egalitarian socialization) and that self-reported cross-racial friendships would moderate the effects of color-blind attitudes. Results suggest that having several cross-racial friendships minimized the effects of participants' color-blind attitudes on their ethnic pride and egalitarian socialization beliefs, whereas having few cross-racial friendships enhanced the effects of color-blind attitudes on both socialization variables. The importance of transracially adoptive families creating diverse and multiracial social networks is discussed. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Cultural predictors of caregiving burden of Chinese-Canadian family caregivers.

PubMed

Lai, Daniel W L

2007-01-01

The growth of research knowledge on culturally diverse family caregivers for the aging population lags behind the increase of culturally diverse populations in Canada. This study examines the effects of culture, as manifested through cultural variables, on the caregiving burden of family caregivers in a Chinese-Canadian community. A random sample of 339 Chinese-Canadian caregivers for elderly relatives completed a telephone survey. Results of hierarchical stepwise multiple regression analysis reported the predicting effects of culture-related variables on caregiving burden. The findings indicated that being an immigrant, having a Western or non-Western religion as compared to having no religion, and having a lower level of filial piety, predicted a higher level of caregiving burden. Chinese tradition does not exempt the caregivers from being burdened. Policies and practices should address the needs of family caregivers according to the intra-cultural variations identified in this study.

Relationship between emotional intelligence and organizational citizenship behavior.

PubMed

Turnipseed, David L; Vandewaa, Elizabeth A

2012-06-01

This study evaluated hypothesized positive linkages between organizational citizenship behavior and the emotional intelligence dimensions of perception, using emotion, understanding emotion, and management of emotion, involving two samples. Sample 1 comprised 334 employed college students, 52% male, with a mean age of 23.4 yr., who worked an average of 29.6 hr. per week. Sample 2 comprised 72 professors, 81% female, with a mean age of 47 yr. Measures were the Emotional Intelligence Scale and the Organizational Citizenship Behavior Scale. Results of hierarchical multiple regressions indicated a positive link between organizational citizenship behavior and emotional intelligence. There were differences between the samples. In Sample 1, each of the emotional intelligence dimensions were positively linked to citizenship behavior: using and managing emotion were the greatest contributors. In Sample 2, managing emotion was the only contributor. Emotional intelligence had the strongest relationship with citizenship behavior directed at individuals.

Genetic and environmental variance in content dimensions of the MMPI.

PubMed

Rose, R J

1988-08-01

To evaluate genetic and environmental variance in the Minnesota Multiphasic Personality Inventory (MMPI), I studied nine factor scales identified in the first item factor analysis of normal adult MMPIs in a sample of 820 adolescent and young adult co-twins. Conventional twin comparisons documented heritable variance in six of the nine MMPI factors (Neuroticism, Psychoticism, Extraversion, Somatic Complaints, Inadequacy, and Cynicism), whereas significant influence from shared environmental experience was found for four factors (Masculinity versus Femininity, Extraversion, Religious Orthodoxy, and Intellectual Interests). Genetic variance in the nine factors was more evident in results from twin sisters than those of twin brothers, and a developmental-genetic analysis, using hierarchical multiple regressions of double-entry matrixes of the twins' raw data, revealed that in four MMPI factor scales, genetic effects were significantly modulated by age or gender or their interaction during the developmental period from early adolescence to early adulthood.

Do Personality and Organizational Politics Predict Workplace Victimization? A Study among Ghanaian Employees.

PubMed

Amponsah-Tawiah, Kwesi; Annor, Francis

2017-03-01

Workplace victimization is considered a major social stressor with significant implications for the wellbeing of employees and organizations. The aim of this study was to examine the influences of employees' personality traits and organizational politics on workplace victimization among Ghanaian employees. Using a cross-sectional design, data were collected from 631 employees selected from diverse occupations through convenience sampling. Data collection tools were standardized questionnaires that measured experiences of negative acts at work (victimization), the Big Five personality traits, and organizational politics. The results from hierarchical multiple regression analysis showed that among the personality traits neuroticism and conscientiousness had significant, albeit weak relationships with victimization. Organizational politics had a significant positive relationship with workplace victimization beyond employees' personality. The study demonstrates that compared with personal characteristics such as personality traits, work environment factors such as organizational politics have a stronger influence on the occurrence of workplace victimization.

Pubertal Stage, Body Mass Index, and Cardiometabolic Risk in Children and Adolescents in Bogotá, Colombia: The Cross-Sectional Fuprecol Study

PubMed Central

Ramírez-Vélez, Robinson; García-Hermoso, Antonio; Agostinis-Sobrinho, Cesar; Mota, Jorge; Santos, Rute; Correa-Bautista, Jorge Enrique; Peña-Guzmán, Carlos Andrés; Domínguez-Sánchez, María Andrea; Schmidt-RioValle, Jacqueline; González-Jiménez, Emilio

2017-01-01

This study explored the association between pubertal stage and anthropometric and cardiometabolic risk factors in youth. A cross-sectional study was conducted in 2877 Colombian children and adolescents (9–17.9 years of age). Weight, height, and waist circumference were measured and body mass index (BMI) was calculated. A biochemical study was performed to determine the cardiometabolic risk index (CMRI). Blood pressure was evaluated and pubertal stage was assessed with the Tanner criteria. Hierarchical multiple regression analyses were performed. The most significant variable (p < 0.05) in the prognosis of cardiometabolic risk was found to be the BMI in both boys and girls. In the case of girls, the pubertal stage was also a CMRI predictive factor. In conclusion, BMI was an important indicator of cardiovascular risk in both sexes. Pubertal stage was associated with cardiovascular risk only in the girls. PMID:28640231

Therapist Multicultural Competence, Asian American Participants’ Cultural Values, and Counseling Process

PubMed Central

Wang, Shihwe; Kim, Bryan S. K.

2011-01-01

Asian Americans drop out of mental health treatment at a high rate. This problem could be addressed by enhancing therapists’ multicultural competence and by examining clients’ cultural attitudes that may affect the counseling process. In the present study, we used a video analogue design with a sample of 113 Asian American college students to examine these possibilities. The result from a t test showed that the session containing therapist multicultural competencies received higher ratings than the session without therapist multicultural competence. In addition, correlational analyses showed that participant values acculturation was positively associated with participant ratings of counseling process, while the value of emotional self-control was negatively correlated. The results of a hierarchical multiple regression analysis did not support any interaction effects among the independent variables on counseling process. All of these findings could contribute to the field of multicultural competence research and have implications for therapist practices and training. PMID:21490875

[Effects of compassion satisfaction and social support in the relationship between compassion fatigue and burnout in hospital nurses].

PubMed

Yom, Young-Hee; Kim, Hyun-Jung

2012-12-01

The purpose of this study was to identify the effects of compassion satisfaction and social support in the relationship between compassion fatigue and burnout among hospital nurses. The participants were 430 nurses working in general hospitals. Data were collected with self-administrated questionnaires and analyzed by hierarchical multiple regression. (a) Compassion fatigue had a significant positive effect on burnout; (b) social support and compassion satisfaction had negative effects on burnout, and (c) social support and compassion satisfaction did not moderate the effects of compassion fatigue on burnout. These findings provide strong empirical evidence for the importance of compassion fatigue, compassion satisfaction and social support in explaining burnout of nurses. Also, it would be of great value to further define compassion fatigue and compassion satisfaction even though these concepts are not accepted in the realities of health care.

Forgiveness and Consideration of Future Consequences in Aggressive Driving

PubMed Central

Moore, Michael; Dahlen, Eric R.

2008-01-01

Most research on aggressive driving has focused on identifying aspects of driver personality which will exacerbate it (e.g., sensation seeking, impulsiveness, driving anger, etc.). The present study was designed to examine two theoretically relevant but previously unexplored personality factors predicted to reduce the risk of aggressive driving: trait forgiveness and consideration of future consequences. The utility of these variables in predicting aggressive driving and driving anger expression was evaluated among 316 college student volunteers. Hierarchical multiple regressions permitted an analysis of the incremental validity of these constructs beyond respondent gender, age, miles driven per week, and driving anger. Both forgiveness and consideration of future consequences contributed to the prediction of aggressive driving and driving anger expression, independent of driving anger. Research on aggressive driving may be enhanced by greater attention to adaptive, potentially risk-reducing traits. Moreover, forgiveness and consideration of future consequences may have implications for accident prevention. PMID:18760093

Childhood Maltreatment as Predictor of Pathological Personality Traits Using PSY-5 in an Adult Psychiatric Sample.

PubMed

Choi, Ji Young; Park, Soo Hyun

2018-02-01

Extant literature indicates that childhood maltreatment is significantly associated with personality disorders. With the recent call for a more dimensional approach to understanding personality and pathological personality traits, the aim of the present study was to examine whether the experience of childhood maltreatment is associated with pathological personality traits as measured by the Personality Psychopathology Five (PSY-5). We analyzed data from 557 adult psychiatric patients with diverse psychiatric diagnoses, including mood disorders, schizophrenia spectrum disorders, and anxiety disorders. Hierarchical multiple regression analyses were conducted to determine the degree to which childhood maltreatment explained the five trait dimensions after controlling for demographic variables, presence of psychotic symptoms, and degree of depressive symptoms. Childhood maltreatment significantly predicted all of the five trait dimensions of the PSY-5. This suggests that childhood maltreatment may negatively affect the development of an adaptive adjustment system, thereby potentially contributing to the emergence of pathological personality traits.

Occupational turnover intentions among substance abuse counselors

PubMed Central

Rothrauff, Tanja C.; Abraham, Amanda J.; Bride, Brian E.; Roman, Paul M.

2010-01-01

This study examined predictor, moderator, and mediator variables of occupational turnover intention (OcTI) among substance abuse counselors. Data were obtained via questionnaires from 929 counselors working in 225 private substance abuse treatment (SAT) programs across the U.S. Hierarchical multiple regression models were conducted to assess predictor, moderator, and mediator variables of OcTI. OcTI scores were relatively low on a 7-point scale, indicating that very few counselors definitely intended to leave the SAT field. Age, certification, positive perceptions of procedural and distributive justice, and hospital-based status negatively predicted OcTI. Counselors’ substance use disorder impacted history moderated the association between organizational commitment and OcTI. Organizational turnover intention partially mediated the link between organizational commitment and OcTI. Workforce stability might be achieved by promoting perceptions of advantages to working in a particular treatment program, organizational commitment, showing appreciation for counselors’ work, and valuing employees from diverse backgrounds. PMID:20947285

Patient Characteristics and Patient Behavior as Predictors of Outcome in Cognitive Therapy and Exposure Therapy for Hypochondriasis.

PubMed

Richtberg, Samantha; Jakob, Marion; Höfling, Volkmar; Weck, Florian

2017-06-01

Psychotherapy for hypochondriasis has greatly improved over the last decades and cognitive-behavioral treatments are most promising. However, research on predictors of treatment outcome for hypochondriasis is rare. Possible predictors of treatment outcome in cognitive therapy (CT) and exposure therapy (ET) for hypochondriasis were investigated. Characteristics and behaviors of 75 patients were considered as possible predictors: sociodemographic variables (sex, age, and cohabitation); psychopathology (pretreatment hypochondriacal symptoms, comorbid mental disorders, and levels of depression, anxiety, and somatic symptoms); and patient in-session interpersonal behavior. Severity of pretreatment hypochondriacal symptoms, comorbid mental disorders, and patient in-session interpersonal behavior were significant predictors in multiple hierarchical regression analyses. Interactions between the predictors and the treatment (CT or ET) were not found. In-session interpersonal behavior is an important predictor of outcome. Furthermore, there are no specific contraindications to treating hypochondriasis with CT or ET. © 2016 Wiley Periodicals, Inc.

Multiple Losses: The Psychological and Economic Well-Being of Survivors of Intimate Partner Violence.

PubMed

Sauber, Elizabeth W; O'Brien, Karen M

2017-05-01

This study advanced knowledge regarding the mechanisms through which intimate partner violence relates to psychological and financial distress with a sample of diverse low-income women. Data were collected from 147 female domestic violence survivors who were abused by a male partner within the past 6 months. Three hierarchical regression analyses revealed that psychological, physical, and economic abuse were predictive of posttraumatic stress, depression, and economic self-sufficiency among survivors. Guided by the Conservation of Resources Theory, the loss of financial, work, and interpersonal resources also predicted these three outcomes, above and beyond abuse experiences (i.e., economically controlling behaviors, economic sabotage, and interpersonal resource loss were unique predictors). In addition, bootstrap mediation analyses showed that interpersonal resource loss partially mediated the relationship between psychological abuse and mental health outcomes. Together, these findings can be used to inform future interventions to promote the financial and psychological well-being of survivors.

Desire thinking as a predictor of gambling.

PubMed

Fernie, Bruce A; Caselli, Gabriele; Giustina, Lucia; Donato, Gilda; Marcotriggiani, Antonella; Spada, Marcantonio M

2014-04-01

Desire thinking is a voluntary cognitive process involving verbal and imaginal elaboration of a desired target. A desired target can relate to an object, an internal state or an activity, such as gambling. This study investigated the role of desire thinking in gambling in a cohort of participants recruited from community and clinical settings. Ninety five individuals completed a battery of self-report measures consisting of the Hospital Anxiety and Depression Scale (HADS), the Gambling Craving Scale (GCS), the Desire Thinking Questionnaire (DTQ) and the South Oaks Gambling Screen (SOGS). Correlation analyses revealed that gender, educational level, recruitment source, anxiety and depression, craving and desire thinking were correlated with gambling. A hierarchical multiple regression analysis revealed that both recruitment source and desire thinking were the only independent predictors of gambling when controlling for all other study variables, including craving. These findings are discussed in the light of metacognitive therapy (MCT). Copyright © 2014 Elsevier Ltd. All rights reserved.

Current cannabis use and tardive dyskinesia.

PubMed

Zaretsky, A; Rector, N A; Seeman, M V; Fornazzari, X

1993-12-01

The aim of this study was to examine the relationship between substance abuse and tardive dyskinesia (TD) in 51 chronic, neuroleptic-treated, community outpatients with a DSM-III-R diagnosis of schizophrenia. In the presence of a clinical researcher, subjects completed a questionnaire on past and current alcohol and drug use, and provided information pertaining to variables which have, in the past, been implicated in the development of TD: smoking habits, caffeine consumption, and current neuroleptic dose. Subjects were also administered the Abnormal Involuntary Movement Scale (AIMS) in an interview format with either two or three trained raters present in the room. Consistent with previous reports, our results indicated a trend for females and older patients with a longer duration of illness to show elevated scores on the AIMS. In a hierarchical multiple regression analysis, however, cannabis use was found to correlate best with the presence of TD, out-ranking other putative factors.

Authoritarianism, conservatism, racial diversity threat, and the state distribution of hate groups.

PubMed

McCann, Stewart J H

2010-01-01

On the basis of K. Stenner's (2005) authoritarian dynamic theory, the author hypothesized that there is an interaction between U.S. state conservatism-liberalism and state racial heterogeneity threat, such that greater diversity threat tends to be associated with more hate groups in more conservative states and fewer hate groups in more liberal states. State aggregates of the conservative-liberal ideological preferences of 141,798 participants from 122 CBS News/New York Times national telephone polls conducted between 1976 and 1988 (R. S. Erikson, G. C. Wright, & J. P. McIver, 1993) served as proxies for authoritarian-nonauthoritarian dispositions. For the 47 states with complete data, the hypothesized interaction was tested for 2000, 2005, and 2006 with hierarchical multiple regression strategies and supported. The author's hypothesis was also affirmed with SES and the interaction of SES and diversity threat controlled for. In contrast, SES entirely accounted for simple relationships between threat and hate group frequency.

Korean American dementia caregivers' attitudes toward caregiving: the role of social network versus satisfaction with social support.

PubMed

Lee, Youjung; Choi, Sunha

2013-06-01

The purpose of this study was to explore how Korean American family caregivers view the services they offer to patients with dementia. It also investigated the roles of social networks and satisfaction with social support on attitudes toward caregiving. Social network, satisfaction with social support, demographic characteristics, caregiving-related stress factors, and cultural factors were examined. We used a convenience sample of 85 Korean American dementia caregivers. The results from hierarchical multiple regression models show that the level of satisfaction with social support significantly contributed to Korean American caregivers' attitudes toward working with patients with dementia, while no statistically significant associate was found for social network. Higher levels of satisfaction with social support were associated with greater positive attitudes toward caregiving among Korean American caregivers (b = 0.26, p = .024). The implications for mental health professionals and policy makers are discussed.

Pubertal Stage, Body Mass Index, and Cardiometabolic Risk in Children and Adolescents in Bogotá, Colombia: The Cross-Sectional Fuprecol Study.

PubMed

Ramírez-Vélez, Robinson; García-Hermoso, Antonio; Agostinis-Sobrinho, Cesar; Mota, Jorge; Santos, Rute; Correa-Bautista, Jorge Enrique; Peña-Guzmán, Carlos Andrés; Domínguez-Sánchez, María Andrea; Schmidt-RioValle, Jacqueline; González-Jiménez, Emilio

2017-06-22

This study explored the association between pubertal stage and anthropometric and cardiometabolic risk factors in youth. A cross-sectional study was conducted in 2877 Colombian children and adolescents (9-17.9 years of age). Weight, height, and waist circumference were measured and body mass index (BMI) was calculated. A biochemical study was performed to determine the cardiometabolic risk index (CMRI). Blood pressure was evaluated and pubertal stage was assessed with the Tanner criteria. Hierarchical multiple regression analyses were performed. The most significant variable ( p < 0.05) in the prognosis of cardiometabolic risk was found to be the BMI in both boys and girls. In the case of girls, the pubertal stage was also a CMRI predictive factor. In conclusion, BMI was an important indicator of cardiovascular risk in both sexes. Pubertal stage was associated with cardiovascular risk only in the girls.

Predicting game-attending behavior in amateur athletes: the moderating role of intention stability.

PubMed

Lu, Wan Chen; Cheng, Chih-Fu; Chen, Lung Hung

2013-10-01

The theory of planned behavior is a well-established theory in predicting human behavior. However, there is evidence of an inconsistent relationship between intention and behavior. Therefore, the purpose of the current study is to further investigate the gap between intention and behavior. The study proposes intention stability as the moderator. Participants (N = 154, M age = 23 yr., SD = 6.7) were recruited from Internet volleyball forums and local volleyball courts in Taiwan. Multiple hierarchical regression was used to analyze the data. The results indicated that perceived behavioral control significantly predicted game-attending behavior through intention. However, attitude and subjective norms did not significantly predict behavioral intention. In addition, intention stability moderated the relationship between intention and behavior and indicated the relationship between intention and behavior was strong when intention stability was high. On the contrary, when intention stability was low, the relationship between intention and behavior was weak. Implications and applications are discussed.

Towards a hierarchical optimization modeling framework for ...

EPA Pesticide Factsheets

Background:Bilevel optimization has been recognized as a 2-player Stackelberg game where players are represented as leaders and followers and each pursue their own set of objectives. Hierarchical optimization problems, which are a generalization of bilevel, are especially difficult because the optimization is nested, meaning that the objectives of one level depend on solutions to the other levels. We introduce a hierarchical optimization framework for spatially targeting multiobjective green infrastructure (GI) incentive policies under uncertainties related to policy budget, compliance, and GI effectiveness. We demonstrate the utility of the framework using a hypothetical urban watershed, where the levels are characterized by multiple levels of policy makers (e.g., local, regional, national) and policy followers (e.g., landowners, communities), and objectives include minimization of policy cost, implementation cost, and risk; reduction of combined sewer overflow (CSO) events; and improvement in environmental benefits such as reduced nutrient run-off and water availability. Conclusions: While computationally expensive, this hierarchical optimization framework explicitly simulates the interaction between multiple levels of policy makers (e.g., local, regional, national) and policy followers (e.g., landowners, communities) and is especially useful for constructing and evaluating environmental and ecological policy. Using the framework with a hypothetical urba

Older age, higher perceived disability and depressive symptoms predict the amount and severity of work-related difficulties in persons with multiple sclerosis.

PubMed

Raggi, Alberto; Giovannetti, Ambra Mara; Schiavolin, Silvia; Brambilla, Laura; Brenna, Greta; Confalonieri, Paolo Agostino; Cortese, Francesca; Frangiamore, Rita; Leonardi, Matilde; Mantegazza, Renato Emilio; Moscatelli, Marco; Ponzio, Michela; Torri Clerici, Valentina; Zaratin, Paola; De Torres, Laura

2018-04-16

This cross-sectional study aims to identify the predictors of work-related difficulties in a sample of employed persons with multiple sclerosis as addressed with the Multiple Sclerosis Questionnaire for Job Difficulties. Hierarchical linear regression analysis was conducted to identify predictors of work difficulties: predictors included demographic variables (age, formal education), disease duration and severity, perceived disability and psychological variables (cognitive dysfunction, depression and anxiety). The targets were the questionnaire's overall score and its six subscales. A total of 177 participants (108 females, aged 21-63) were recruited. Age, perceived disability and depression were direct and significant predictors of the questionnaire total score, and the final model explained 43.7% of its variation. The models built on the questionnaire's subscales show that perceived disability and depression were direct and significant predictors of most of its subscales. Our results show that, among patients with multiple sclerosis, those who were older, with higher perceived disability and higher depression symptoms have more and more severe work-related difficulties. The Multiple Sclerosis Questionnaire for Job Difficulties can be fruitfully exploited to plan tailored actions to limit the likelihood of near-future job loss in persons of working age with multiple sclerosis. Implications for rehabilitation Difficulties with work are common among people with multiple sclerosis and are usually addressed in terms of unemployment or job loss. The Multiple Sclerosis Questionnaire for Job Difficulties is a disease-specific questionnaire developed to address the amount and severity of work-related difficulties. We found that work-related difficulties were associated to older age, higher perceived disability and depressive symptoms. Mental health issues and perceived disability should be consistently included in future research targeting work-related difficulties.

[Tooth decay and associated factors among adolescents in the north of the State of Minas Gerais, Brazil: a hierarchical analysis].

PubMed

Silveira, Marise Fagundes; Freire, Rafael Silveira; Nepomuceno, Marcela Oliveira; Martins, Andréa Maria Eleutério de Barros Lima; Marcopito, Luiz Francisco

2015-11-01

This is a cross-sectional population-based study (n = 763) conducted in the north of the State of Minas Gerais, which aimed to investigate the prevalence of tooth decay among adolescents and to identify the potential determinants of same. Probability sampling by conglomerates in multiple stages was used. Trained and calibrated professionals performed the data collection by means of intraoral examination and interviews in the previously selected households. In the analysis of the determinant factor for the presence of tooth decay, hierarchical binary logistic regression models were used. The prevalence of tooth decay, decayed, missing and filled teeth were 71.3%, 36.5%, 55.6% and 16%, respectively. The following averages were observed: DMFT (3.4 teeth), number of decayed (0.8 teeth), restored (2.4 teeth) and missing (0.2 teeth). The incidence of tooth decay was higher among adolescents who stated they were black/indigenous/brown (OR = 1.76), lived in crowded households (OR = 2.4), did not regularly visit or had never been to a dentist (OR = 1.9), used public or philanthropic services (OR = 1,8), had smoking habits (OR = 4.1), consumed alcohol (OR = 1.8), perceived their oral health negatively (OR = 5.9 and OR = 1.9) and had toothac in the last six months (OR = 2.0).

Decision net, directed graph, and neural net processing of imaging spectrometer data

NASA Technical Reports Server (NTRS)

Casasent, David; Liu, Shiaw-Dong; Yoneyama, Hideyuki; Barnard, Etienne

1989-01-01

A decision-net solution involving a novel hierarchical classifier and a set of multiple directed graphs, as well as a neural-net solution, are respectively presented for large-class problem and mixture problem treatments of imaging spectrometer data. The clustering method for hierarchical classifier design, when used with multiple directed graphs, yields an efficient decision net. New directed-graph rules for reducing local maxima as well as the number of perturbations required, and the new starting-node rules for extending the reachability and reducing the search time of the graphs, are noted to yield superior results, as indicated by an illustrative 500-class imaging spectrometer problem.

The relationship between depressive symptoms among female workers and job stress and sleep quality

PubMed Central

2013-01-01

Objective Recently, workers' mental health has become important focus in the field of occupational health management. Depression is a psychiatric illness with a high prevalence. The association between job stress and depressive symptoms has been demonstrated in many studies. Recently, studies about the association between sleep quality and depressive symptoms have been reported, but there has been no large-scaled study in Korean female workers. Therefore, this study was designed to investigate the relationship between job stress and sleep quality, and depressive symptoms in female workers. Methods From Mar 2011 to Aug 2011, 4,833 female workers in the manufacturing, finance, and service fields at 16 workplaces in Yeungnam province participated in this study, conducted in combination with a worksite-based health checkup initiated by the National Health Insurance Service (NHIS). In this study, a questionnaire survey was carried out using the Korean Occupational Stress Scale-Short Form(KOSS-SF), Pittsburgh Sleep Quality Index(PSQI) and Center for Epidemiological Studies-Depression Scale(CES-D). The collected data was entered in the system and analyzed using the PASW (version 18.0) program. A correlation analysis, cross analysis, multivariate logistic regression analysis, and hierarchical multiple regression analysis were conducted. Results Among the 4,883 subjects, 978 subjects (20.0%) were in the depression group. Job stress(OR=3.58, 95% CI=3.06-4.21) and sleep quality(OR=3.81, 95% CI=3.18-4.56) were strongly associated with depressive symptoms. Hierarchical multiple regression analysis revealed that job stress displayed explanatory powers of 15.6% on depression while sleep quality displayed explanatory powers of 16.2%, showing that job stress and sleep quality had a closer relationship with depressive symptoms, compared to the other factors. The multivariate logistic regression analysis yielded odds ratios between the 7 subscales of job stress and depressive symptoms in the range of 1.30-2.72 and the odds ratio for the lack of reward was the highest(OR=2.72, 95% CI=2.32-3.19). In the partial correlation analysis between each of the 7 subscales of sleep quality (PSQI) and depressive symptoms, the correlation coefficient of subjective sleep quality and daytime dysfunction were 0.352 and 0.362, respectively. Conclusion This study showed that the depressive symptoms of female workers are closely related to their job stress and sleep quality. In particular, the lack of reward and subjective sleep factors are the greatest contributors to depression. In the future, a large-scale study should be performed to augment the current study and to reflect all age groups in a balanced manner. The findings on job stress, sleep, and depression can be utilized as source data to establish standards for mental health management of the ever increasing numbers of female members of the workplace. PMID:24472381

Anisotropic constitutive model incorporating multiple damage mechanisms for multiscale simulation of dental enamel.

PubMed

Ma, Songyun; Scheider, Ingo; Bargmann, Swantje

2016-09-01

An anisotropic constitutive model is proposed in the framework of finite deformation to capture several damage mechanisms occurring in the microstructure of dental enamel, a hierarchical bio-composite. It provides the basis for a homogenization approach for an efficient multiscale (in this case: multiple hierarchy levels) investigation of the deformation and damage behavior. The influence of tension-compression asymmetry and fiber-matrix interaction on the nonlinear deformation behavior of dental enamel is studied by 3D micromechanical simulations under different loading conditions and fiber lengths. The complex deformation behavior and the characteristics and interaction of three damage mechanisms in the damage process of enamel are well captured. The proposed constitutive model incorporating anisotropic damage is applied to the first hierarchical level of dental enamel and validated by experimental results. The effect of the fiber orientation on the damage behavior and compressive strength is studied by comparing micro-pillar experiments of dental enamel at the first hierarchical level in multiple directions of fiber orientation. A very good agreement between computational and experimental results is found for the damage evolution process of dental enamel. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Assessment of Matrix Multiplication Learning with a Rule-Based Analytical Model--"A Bayesian Network Representation"

ERIC Educational Resources Information Center

Zhang, Zhidong

2016-01-01

This study explored an alternative assessment procedure to examine learning trajectories of matrix multiplication. It took rule-based analytical and cognitive task analysis methods specifically to break down operation rules for a given matrix multiplication. Based on the analysis results, a hierarchical Bayesian network, an assessment model,…

A Bayesian Hierarchical Modeling Approach to Predicting Flow in Ungauged Basins

EPA Science Inventory

Recent innovative approaches to identifying and applying regression-based relationships between land use patterns (such as increasing impervious surface area and decreasing vegetative cover) and rainfall-runoff model parameters represent novel and promising improvements to predic...

DISTURBANCE PATTERNS IN A SOCIO-ECOLOGICAL SYSTEM AT MULTIPLE SCALES

EPA Science Inventory

Ecological systems with hierarchical organization and non-equilibrium dynamics require multiple-scale analyses to comprehend how a system is structured and to formulate hypotheses about regulatory mechanisms. Characteristic scales in real landscapes are determined by, or at least...

Advances in Applications of Hierarchical Bayesian Methods with Hydrological Models

NASA Astrophysics Data System (ADS)

Alexander, R. B.; Schwarz, G. E.; Boyer, E. W.

2017-12-01

Mechanistic and empirical watershed models are increasingly used to inform water resource decisions. Growing access to historical stream measurements and data from in-situ sensor technologies has increased the need for improved techniques for coupling models with hydrological measurements. Techniques that account for the intrinsic uncertainties of both models and measurements are especially needed. Hierarchical Bayesian methods provide an efficient modeling tool for quantifying model and prediction uncertainties, including those associated with measurements. Hierarchical methods can also be used to explore spatial and temporal variations in model parameters and uncertainties that are informed by hydrological measurements. We used hierarchical Bayesian methods to develop a hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow across diverse environmental and climatic drainages in 18 U.S. hydrological regions. Our application illustrates the use of a new generation of Bayesian methods that offer more advanced computational efficiencies than the prior generation. Evaluations of the effects of hierarchical (regional) variations in model coefficients and uncertainties on model accuracy indicates improved prediction accuracies (median of 10-50%) but primarily in humid eastern regions, where model uncertainties are one-third of those in arid western regions. Generally moderate regional variability is observed for most hierarchical coefficients. Accounting for measurement and structural uncertainties, using hierarchical state-space techniques, revealed the effects of spatially-heterogeneous, latent hydrological processes in the "localized" drainages between calibration sites; this improved model precision, with only minor changes in regional coefficients. Our study can inform advances in the use of hierarchical methods with hydrological models to improve their integration with stream measurements.

Assimilating multi-source uncertainties of a parsimonious conceptual hydrological model using hierarchical Bayesian modeling

Treesearch

Wei Wu; James Clark; James Vose

2010-01-01

Hierarchical Bayesian (HB) modeling allows for multiple sources of uncertainty by factoring complex relationships into conditional distributions that can be used to draw inference and make predictions. We applied an HB model to estimate the parameters and state variables of a parsimonious hydrological model – GR4J – by coherently assimilating the uncertainties from the...

[Buffering effect of social support in the workplace on job strain and depressive symptoms].

PubMed

Komatsu, Yuki; Kai, Yuko; Nagamatsu, Toshiya; Shiwa, Tadashi; Suyama, Yasuo; Sugimoto, Masako

2010-01-01

The present study examined the buffering effect of social support in the workplace on job strain and depressive symptoms by conducting a cross-sectional survey using a self-report. The subjects were 712 employees (male, over 40 yr old) who worked at a precision machine factory. The questionnaire determined the subjects, ages, types of occupation, scores of depressive symptoms, job strain (job demand and job control), and social support (supervisor support and coworker support). Job strain and social support were evaluated by the Job Content Questionnaire (JCQ). The Center for Epidemiologic Studies Depression Scale (CES-D) score was measured and depressive symptoms were defined as a CES-D score > or = 16 point. Job strain and social support were calculated and divided into low-score groups (LG) and high-score groups (HG), respectively, by the median value. The mean values of CES-D in the LG and HG of job strain or social support were compared by the t-test. The hierarchical multiple regression was analyzed with the CES-D score as the dependent variable and by the characteristics of the participants, job strain and social support, and the cross-product interaction term of job strain and social support as independent variables. The effect of the degree of social support in the LG and HG of job strain on the CES-D score was evaluated by analysis of covariance adjusted for age. The results showed that 23.2% of the workers had depressive symptoms, and that, the CES-D scores in the job demand group were significantly higher in HG than in LG. The CES-D scores in the job control, supervisor support, and coworker support groups were significantly higher in LG than in HG. The hierarchical multiple regression analysis showed that job demand, job control, supervisor support, and coworker support had significant main effects on the CES-D score. Furthermore, it was shown that there was a significant interaction in the CES-D score between job control and supervisor support, and that, the CES-D score in the supervisor support group was significantly higher in LG than that in HG only when job control was low. These results suggest that supervisor support may have the effect of buffering depressive symptoms related to low job control.

Paternal involvement and early infant neurodevelopment: the mediation role of maternal parenting stress.

PubMed

Kim, Minjeong; Kang, Su-Kyoung; Yee, Bangsil; Shim, So-Yeon; Chung, Mira

2016-12-12

Father-child interactions are associated with improved developmental outcomes among infants. However, to the best of our knowledge, no study has addressed the effects of paternal involvement on the neurodevelopment of infants who are less than 6 months of age, and no study has reported how maternal parenting stress mediates the relationship between paternal involvement and infant neurodevelopment during early infancy. This study investigates the direct and indirect relationship between paternal involvement and infant neurodevelopment at 3-4 months of age. The indirect relationship was assessed through the mediating factor of maternal parenting stress. The participants were recruited through the Sesalmaul Research Center's website from April to June 2014. The final data included 255 mothers and their healthy infants, who were aged 3-4 months. The mothers reported paternal involvement and maternal parenting stress by using Korean Parenting Alliance Inventory (K-PAI) and Parenting Stress Index (PSI), respectively. Experts visited the participants' homes to observe infant neurodevelopment, and completed a developmental examination using Korean version of the Ages and Stages Questionnaire II (K-ASQ II). A hierarchical multiple regression analysis was used for data analysis. Infants' mean ages were 106 days and girls accounted for 46.3%. The mean total scores (reference range) of the K-PAI, PSI, and the K-ASQ II were 55.5 (17-68), 45.8 (25-100), and 243.2 (0-300), respectively. Paternal involvement had a positive relationship with K-ASQ II scores (β = 0.29, p < 0.001) at 3-4 months of age, whereas maternal parenting stress was negatively related with K-ASQ II scores (β = -0.32, p < 0.001). Maternal parenting stress mediated the relationship between paternal involvement and early infant neurodevelopment (Z = 3.24, p < 0.001). A hierarchical multiple regression analysis showed that paternal involvement reduced maternal parenting stress (β = -0.25, p < 0.001), which led to positive infant outcomes (β = 0.23, p < 0.001). Paternal involvement is significantly associated with infant neurodevelopment during early infancy, and maternal parenting stress partially mediates that association. This result emphasizes the importance of fathers' involvement and mothers' parenting stress on early infant neurodevelopment.

Injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia: a prospective hospital based study.

PubMed

Seid, Mohammed; Azazh, Aklilu; Enquselassie, Fikre; Yisma, Engida

2015-05-20

Road traffic injuries are the eighth leading cause of death globally, and the leading cause of death for young people. More than a million people die each year on the world's roads, and the risk of dying as a result of a road traffic injury is highest in Africa. A prospective hospital based study was undertaken to assess injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia. A structured pre-tested questionnaire was used to gather the required data. The collected data were analyzed using SPSS version 20.0. Hierarchical multiple regression analysis was used to identify predictors of fatalities among the road traffic crash victims. A total of 230 road traffic accident victims were studied. The majority of the study subjects were men 165 (71.7%) and the male/female ratio was 2.6:1. The victims' ages ranged from 14 to 80 years with the mean and standard deviations of 32.15 and ± 14.38 years respectively. Daily laborers (95 (41.3%)) and students (28 (12.2%)) were the majority of road traffic accident victims. Head (50.4%) and musculoskeletal (extremities) (47.0%) were the most common body region injured. Fractures (78.0%) and open wounds (56.5%) were the most common type of injuries sustained. The overall length of hospital stay (LOS) ranged from 1 day to 61 days with mean (± standard deviation) of 7.12 ± 10.5 days and the mortality rate was 7.4%. Hierarchical multiple regression analysis showed that age of the victims (ß = 0.16, p < 0.05), systolic blood pressure on admission (ß = -0.35, p < 0.001) and Glasgow coma scale (ß = -0.44, p < 0.001) were statistically significant predictors of fatalities among the victims. This study showed diverse injury characteristics and high morbidity and mortality among the victims attending Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia. The findings reflect that road traffic accident is a major public health problem. Urgent road traffic accident preventive measures and prompt treatment of the victims are warranted in order to reduce morbidity and mortality among the victims.

Hierarchical Adaptive Means (HAM) clustering for hardware-efficient, unsupervised and real-time spike sorting.

PubMed

Paraskevopoulou, Sivylla E; Wu, Di; Eftekhar, Amir; Constandinou, Timothy G

2014-09-30

This work presents a novel unsupervised algorithm for real-time adaptive clustering of neural spike data (spike sorting). The proposed Hierarchical Adaptive Means (HAM) clustering method combines centroid-based clustering with hierarchical cluster connectivity to classify incoming spikes using groups of clusters. It is described how the proposed method can adaptively track the incoming spike data without requiring any past history, iteration or training and autonomously determines the number of spike classes. Its performance (classification accuracy) has been tested using multiple datasets (both simulated and recorded) achieving a near-identical accuracy compared to k-means (using 10-iterations and provided with the number of spike classes). Also, its robustness in applying to different feature extraction methods has been demonstrated by achieving classification accuracies above 80% across multiple datasets. Last but crucially, its low complexity, that has been quantified through both memory and computation requirements makes this method hugely attractive for future hardware implementation. Copyright © 2014 Elsevier B.V. All rights reserved.

Hierarchical graphs for rule-based modeling of biochemical systems

PubMed Central

2011-01-01

Background In rule-based modeling, graphs are used to represent molecules: a colored vertex represents a component of a molecule, a vertex attribute represents the internal state of a component, and an edge represents a bond between components. Components of a molecule share the same color. Furthermore, graph-rewriting rules are used to represent molecular interactions. A rule that specifies addition (removal) of an edge represents a class of association (dissociation) reactions, and a rule that specifies a change of a vertex attribute represents a class of reactions that affect the internal state of a molecular component. A set of rules comprises an executable model that can be used to determine, through various means, the system-level dynamics of molecular interactions in a biochemical system. Results For purposes of model annotation, we propose the use of hierarchical graphs to represent structural relationships among components and subcomponents of molecules. We illustrate how hierarchical graphs can be used to naturally document the structural organization of the functional components and subcomponents of two proteins: the protein tyrosine kinase Lck and the T cell receptor (TCR) complex. We also show that computational methods developed for regular graphs can be applied to hierarchical graphs. In particular, we describe a generalization of Nauty, a graph isomorphism and canonical labeling algorithm. The generalized version of the Nauty procedure, which we call HNauty, can be used to assign canonical labels to hierarchical graphs or more generally to graphs with multiple edge types. The difference between the Nauty and HNauty procedures is minor, but for completeness, we provide an explanation of the entire HNauty algorithm. Conclusions Hierarchical graphs provide more intuitive formal representations of proteins and other structured molecules with multiple functional components than do the regular graphs of current languages for specifying rule-based models, such as the BioNetGen language (BNGL). Thus, the proposed use of hierarchical graphs should promote clarity and better understanding of rule-based models. PMID:21288338

Interaction effects among multiple job demands: an examination of healthcare workers across different contexts.

PubMed

Jimmieson, Nerina L; Tucker, Michelle K; Walsh, Alexandra J

2017-05-01

Simultaneous exposure to time, cognitive, and emotional demands is a feature of the work environment for healthcare workers, yet effects of these common stressors in combination are not well established. Survey data were collected from 125 hospital employees (Sample 1, Study 1), 93 ambulance service employees (Sample 2, Study 1), and 380 aged care/disability workers (Study 2). Hierarchical multiple regressions were conducted. In Sample 1, high cognitive demand exacerbated high emotional demand on psychological strain and job burnout, whereas the negative effect of high emotional demand was not present at low cognitive demand. In Sample 2, a similar pattern between emotional demand and time demand on stress-remedial intentions was observed. In Study 2, emotional demand × time demand and time demand × cognitive demand interactions again revealed that high levels of two demands were stress-exacerbating and low levels of one demand neutralized the other. A three-way interaction on job satisfaction showed the negative impact of emotional demand was exacerbated when both time and cognitive demands were high, creating a "triple disadvantage" of job demands. The results demonstrate that reducing some job demands helps attenuate the stressful effects of other job demands on different employee outcomes.

Associations among perceptual anomalies, social anxiety, and paranoia in a college student sample.

PubMed

Tone, Erin B; Goulding, Sandra M; Compton, Michael T

2011-07-30

Recent evidence suggests that normal-range paranoid ideation may be particularly likely to develop in individuals disposed to both social anxiety and perceptual anomalies. This study was designed to test the hypothesis that among college students in an unselected sample, social anxiety and experience of perceptual anomalies would not only each independently predict the experience of self-reported paranoid ideation, but would also interact to predict paranoid patterns of thought. A diverse sample of 644 students completed a large battery of self-report measures, as well as the five-factor Paranoia/Suspiciousness Questionnaire (PSQ). We conducted hierarchical multiple regression analyses predicting scores on each PSQ factor from responses on measures of social anxiety, perceptual aberration, and the interaction between the two constructs. Current general negative affect was covaried in all analyses. We found that both social anxiety and perceptual aberrations, along with negative affect, predicted multiple dimensions of paranoia as measured by the PSQ; the two constructs did not, however, interact significantly to predict any dimensions. Our findings suggest that perceptual aberration and anxiety may contribute to normal-range paranoid ideation in an additive rather than an interactive manner. Copyright © 2011 Elsevier Ltd. All rights reserved.

Aged care nurses' job control influence satisfaction and mental health.

PubMed

Elliott, Kate-Ellen J; Rodwell, John; Martin, Angela J

2017-10-01

Relationships exist between aged care nurses' perceptions of psychosocial work characteristics, job satisfaction and mental health, suggesting these characteristics may be important for the management of aged care services. An expanded demand-control-support model that included justice perceptions was examined to determine its impact on multiple types of psychological and organisational well-being outcomes (i.e. job satisfaction, psychological distress and depression). Data were collected from a sample of 173 aged care nurses using a self-report survey and analysed using hierarchical multiple regression. A significant proportion (27-28%) of the variance in aged care nurses' satisfaction, depression and psychological distress was explained by the psychosocial factors included in the model. Job control had the most consistent impact with direct effects on job satisfaction, psychological distress and depression. Informational justice was associated with both psychological distress and depression. Targeting job control may provide the biggest response for nurse managers in aged care, as it is likely to influence nurses' job satisfaction, psychological distress and depression. Facility managers should implement organisational policies and procedures that promote higher levels of control over how nurses perform their work in order to improve nurse well-being in aged care settings. © 2017 John Wiley & Sons Ltd.

Nonword Repetition and Vocabulary Knowledge as Predictors of Children's Phonological and Semantic Word Learning.

PubMed

Adlof, Suzanne M; Patten, Hannah

2017-03-01

This study examined the unique and shared variance that nonword repetition and vocabulary knowledge contribute to children's ability to learn new words. Multiple measures of word learning were used to assess recall and recognition of phonological and semantic information. Fifty children, with a mean age of 8 years (range 5-12 years), completed experimental assessments of word learning and norm-referenced assessments of receptive and expressive vocabulary knowledge and nonword repetition skills. Hierarchical multiple regression analyses examined the variance in word learning that was explained by vocabulary knowledge and nonword repetition after controlling for chronological age. Together with chronological age, nonword repetition and vocabulary knowledge explained up to 44% of the variance in children's word learning. Nonword repetition was the stronger predictor of phonological recall, phonological recognition, and semantic recognition, whereas vocabulary knowledge was the stronger predictor of verbal semantic recall. These findings extend the results of past studies indicating that both nonword repetition skill and existing vocabulary knowledge are important for new word learning, but the relative influence of each predictor depends on the way word learning is measured. Suggestions for further research involving typically developing children and children with language or reading impairments are discussed.

Role of auditory non-verbal working memory in sentence repetition for bilingual children with primary language impairment.

PubMed

Ebert, Kerry Danahy

2014-01-01

Sentence repetition performance is attracting increasing interest as a valuable clinical marker for primary (or specific) language impairment (LI) in both monolingual and bilingual populations. Multiple aspects of memory appear to contribute to sentence repetition performance, but non-verbal memory has not yet been considered. To explore the relationship between a measure of non-verbal auditory working memory (NVWM) and sentence repetition performance in a sample of bilingual children with LI. Forty-seven school-aged Spanish-English bilingual children with LI completed sentence repetition and non-word repetition tasks in both Spanish and English as well as an NVWM task. Hierarchical multiple linear regression was used to predict sentence repetition in each language using age, non-word repetition and NVWM. NVWM predicted unique variance in sentence repetition performance in both languages after accounting for chronological age and language-specific phonological memory, as measured by non-word repetition. Domain-general memory resources play a unique role in sentence repetition performance in children with LI. Non-verbal working memory weaknesses may contribute to the poor performance of children with LI on sentence repetition tasks. © 2014 Royal College of Speech and Language Therapists.

Multivariate Analysis As a Support for Diagnostic Flowcharts in Allergic Bronchopulmonary Aspergillosis: A Proof-of-Concept Study.

PubMed

Vitte, Joana; Ranque, Stéphane; Carsin, Ania; Gomez, Carine; Romain, Thomas; Cassagne, Carole; Gouitaa, Marion; Baravalle-Einaudi, Mélisande; Bel, Nathalie Stremler-Le; Reynaud-Gaubert, Martine; Dubus, Jean-Christophe; Mège, Jean-Louis; Gaudart, Jean

2017-01-01

Molecular-based allergy diagnosis yields multiple biomarker datasets. The classical diagnostic score for allergic bronchopulmonary aspergillosis (ABPA), a severe disease usually occurring in asthmatic patients and people with cystic fibrosis, comprises succinct immunological criteria formulated in 1977: total IgE, anti- Aspergillus fumigatus ( Af ) IgE, anti- Af "precipitins," and anti- Af IgG. Progress achieved over the last four decades led to multiple IgE and IgG(4) Af biomarkers available with quantitative, standardized, molecular-level reports. These newly available biomarkers have not been included in the current diagnostic criteria, either individually or in algorithms, despite persistent underdiagnosis of ABPA. Large numbers of individual biomarkers may hinder their use in clinical practice. Conversely, multivariate analysis using new tools may bring about a better chance of less diagnostic mistakes. We report here a proof-of-concept work consisting of a three-step multivariate analysis of Af IgE, IgG, and IgG4 biomarkers through a combination of principal component analysis, hierarchical ascendant classification, and classification and regression tree multivariate analysis. The resulting diagnostic algorithms might show the way for novel criteria and improved diagnostic efficiency in Af -sensitized patients at risk for ABPA.

The association of metacognitive beliefs with emotional distress and trauma symptoms in adolescent and young adult survivors of cancer.

PubMed

Fisher, Peter L; McNicol, Kirsten; Cherry, Mary Gemma; Young, Bridget; Smith, Ed; Abbey, Gareth; Salmon, Peter

2018-04-03

Adolescent and young adults who have survived cancer are at an increased risk of psychological distress. This study investigated whether metacognitive beliefs are associated with emotional distress and trauma symptoms in adolescent and young adult (AYA) survivors of cancer independent of known covariates, including current physical health difficulties. Cross-sectional survey using multiple self-report measures. Eighty-seven AYA survivors of cancer were recruited from follow-up appointments at an oncology unit and completed self-report questionnaires measuring emotional distress, posttraumatic stress symptoms, metacognitive beliefs, demographic information, and current physical health difficulties. Data were analysed using correlational and hierarchical multiple regression analyses. Metacognitive beliefs explained an additional 50% and 41% of the variance in emotional distress and posttraumatic stress symptoms, respectively, after controlling for known covariate effects, including current physical health difficulties. Conclusions/Implications for Psychosocial Providers or Policy: The metacognitive model of psychopathology is potentially applicable to AYA survivors of cancer who present with elevated general distress and/or posttraumatic stress symptoms. Prospective studies are required to determine whether metacognitive beliefs and processes have a causal role in distress in AYA survivors of cancer.

Comparative values of medical school assessments in the prediction of internship performance.

PubMed

Lee, Ming; Vermillion, Michelle

2018-02-01

Multiple undergraduate achievements have been used for graduate admission consideration. Their relative values in the prediction of residency performance are not clear. This study compared the contributions of major undergraduate assessments to the prediction of internship performance. Internship performance ratings of the graduates of a medical school were collected from 2012 to 2015. Hierarchical multiple regression analyses were used to examine the predictive values of undergraduate measures assessing basic and clinical sciences knowledge and clinical performances, after controlling for differences in the Medical College Admission Test (MCAT). Four hundred eighty (75%) graduates' archived data were used in the study. Analyses revealed that clinical competencies, assessed by the USMLE Step 2 CK, NBME medicine exam, and an eight-station objective structured clinical examination (OSCE), were strong predictors of internship performance. Neither the USMLE Step 1 nor the inpatient internal medicine clerkship evaluation predicted internship performance. The undergraduate assessments as a whole showed a significant collective relationship with internship performance (ΔR 2  = 0.12, p < 0.001). The study supports the use of clinical competency assessments, instead of pre-clinical measures, in graduate admission consideration. It also provides validity evidence for OSCE scores in the prediction of workplace performance.

The Role of Auditory Nonverbal Working Memory in Sentence Repetition for Bilingual Children with Primary Language Impairment

PubMed Central

Ebert, Kerry Danahy

2015-01-01

Background Sentence repetition performance is attracting increasing interest as a valuable clinical marker for Primary (or Specific) Language Impairment (LI) in both monolingual and bilingual populations. Multiple aspects of memory appear to contribute to sentence repetition performance, but nonverbal memory has not yet been considered. Aims The purpose of this study was to explore the relationship between a measure of nonverbal auditory working memory (NVWM) and sentence repetition performance in a sample of bilingual children with LI. Methods & Procedures Forty-seven school-aged Spanish-English bilingual children with LI completed sentence repetition and nonword repetition tasks in both Spanish and English as well as an NVWM task. Hierarchical multiple linear regression was used to predict sentence repetition in each language using age, nonword repetition, and NVWM. Outcomes & Results NVWM predicted unique variance in sentence repetition performance in both languages after accounting for chronological age and language-specific phonological memory, as measured by nonword repetition. Conclusions & Implications Domain-general memory resources play a unique role in sentence repetition performance in children with LI. Nonverbal working memory weaknesses may contribute to the poor performance of children with LI on sentence repetition tasks. PMID:24894308

Modified social learning theory re-examined: correlates of self-management behaviors of persons with Type 2 diabetes.

PubMed

Nugent, Linda E; Wallston, Kenneth A

2016-12-01

Modified social learning theory (MSLT) applied to health predicts that health behavior is a multiplicative function of health value and perceptions of control over health. The self-management behaviors of persons with Type 2 diabetes mellitus, internal diabetes locus of control (IDLC), diabetes self-efficacy (DSE), and health value (HV) were assessed with an index of diabetes self-care activities in 107 patients receiving insulin. Multiple regression analysis showed DSE as the only MSLT construct that correlated with the index of diabetes self-care behaviors (β = .21, p < .05). While the predicted three-way interaction of IDLC × DSE × HV was significant (∆R 2  = 4.5 %, p < .05) in the final step of the hierarchical model, the pattern of the findings only partially supported MSLT. Instead of finding that patients who were simultaneously high on all three predictors scored highest on the behavioral index, we found that patients who were low on all three constructs reported the least amount of diabetes self-care behavior. Implications for further modification of MSLT and its applications to clinical practice are discussed.

Bayesian Poisson hierarchical models for crash data analysis: Investigating the impact of model choice on site-specific predictions.

PubMed

Khazraee, S Hadi; Johnson, Valen; Lord, Dominique

2018-08-01

The Poisson-gamma (PG) and Poisson-lognormal (PLN) regression models are among the most popular means for motor vehicle crash data analysis. Both models belong to the Poisson-hierarchical family of models. While numerous studies have compared the overall performance of alternative Bayesian Poisson-hierarchical models, little research has addressed the impact of model choice on the expected crash frequency prediction at individual sites. This paper sought to examine whether there are any trends among candidate models predictions e.g., that an alternative model's prediction for sites with certain conditions tends to be higher (or lower) than that from another model. In addition to the PG and PLN models, this research formulated a new member of the Poisson-hierarchical family of models: the Poisson-inverse gamma (PIGam). Three field datasets (from Texas, Michigan and Indiana) covering a wide range of over-dispersion characteristics were selected for analysis. This study demonstrated that the model choice can be critical when the calibrated models are used for prediction at new sites, especially when the data are highly over-dispersed. For all three datasets, the PIGam model would predict higher expected crash frequencies than would the PLN and PG models, in order, indicating a clear link between the models predictions and the shape of their mixing distributions (i.e., gamma, lognormal, and inverse gamma, respectively). The thicker tail of the PIGam and PLN models (in order) may provide an advantage when the data are highly over-dispersed. The analysis results also illustrated a major deficiency of the Deviance Information Criterion (DIC) in comparing the goodness-of-fit of hierarchical models; models with drastically different set of coefficients (and thus predictions for new sites) may yield similar DIC values, because the DIC only accounts for the parameters in the lowest (observation) level of the hierarchy and ignores the higher levels (regression coefficients). Copyright © 2018. Published by Elsevier Ltd.

Clinical time series prediction: towards a hierarchical dynamical system framework

PubMed Central

Liu, Zitao; Hauskrecht, Milos

2014-01-01

Objective Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision making. In this work, we propose and develop a novel hierarchical framework for modeling clinical time series data of varied length and with irregularly sampled observations. Materials and methods Our hierarchical dynamical system framework for modeling clinical time series combines advantages of the two temporal modeling approaches: the linear dynamical system and the Gaussian process. We model the irregularly sampled clinical time series by using multiple Gaussian process sequences in the lower level of our hierarchical framework and capture the transitions between Gaussian processes by utilizing the linear dynamical system. The experiments are conducted on the complete blood count (CBC) panel data of 1000 post-surgical cardiac patients during their hospitalization. Our framework is evaluated and compared to multiple baseline approaches in terms of the mean absolute prediction error and the absolute percentage error. Results We tested our framework by first learning the time series model from data for the patient in the training set, and then applying the model in order to predict future time series values on the patients in the test set. We show that our model outperforms multiple existing models in terms of its predictive accuracy. Our method achieved a 3.13% average prediction accuracy improvement on ten CBC lab time series when it was compared against the best performing baseline. A 5.25% average accuracy improvement was observed when only short-term predictions were considered. Conclusion A new hierarchical dynamical system framework that lets us model irregularly sampled time series data is a promising new direction for modeling clinical time series and for improving their predictive performance. PMID:25534671

Prediction of road accidents: A Bayesian hierarchical approach.

PubMed

Deublein, Markus; Schubert, Matthias; Adey, Bryan T; Köhler, Jochen; Faber, Michael H

2013-03-01

In this paper a novel methodology for the prediction of the occurrence of road accidents is presented. The methodology utilizes a combination of three statistical methods: (1) gamma-updating of the occurrence rates of injury accidents and injured road users, (2) hierarchical multivariate Poisson-lognormal regression analysis taking into account correlations amongst multiple dependent model response variables and effects of discrete accident count data e.g. over-dispersion, and (3) Bayesian inference algorithms, which are applied by means of data mining techniques supported by Bayesian Probabilistic Networks in order to represent non-linearity between risk indicating and model response variables, as well as different types of uncertainties which might be present in the development of the specific models. Prior Bayesian Probabilistic Networks are first established by means of multivariate regression analysis of the observed frequencies of the model response variables, e.g. the occurrence of an accident, and observed values of the risk indicating variables, e.g. degree of road curvature. Subsequently, parameter learning is done using updating algorithms, to determine the posterior predictive probability distributions of the model response variables, conditional on the values of the risk indicating variables. The methodology is illustrated through a case study using data of the Austrian rural motorway network. In the case study, on randomly selected road segments the methodology is used to produce a model to predict the expected number of accidents in which an injury has occurred and the expected number of light, severe and fatally injured road users. Additionally, the methodology is used for geo-referenced identification of road sections with increased occurrence probabilities of injury accident events on a road link between two Austrian cities. It is shown that the proposed methodology can be used to develop models to estimate the occurrence of road accidents for any road network provided that the required data are available. Copyright © 2012 Elsevier Ltd. All rights reserved.

Adult Attachment and Longterm Effects in Survivors of Incest.

ERIC Educational Resources Information Center

Alexander, Pamela C.; Anderson, Catherine L.; Brand, Bethany; Schaeffer, Cindy M.; Grelling, Barbara Z.; Kretz, Lisa

1998-01-01

Ninety-two adult female incest survivors were interviewed and completed measures of current functioning. Hierarchical regression analyses suggested that adult attachment behavior was significantly associated with personality structure, depression, and distress; and abuse severity was associated with posttraumatic stress disorder symptoms and…

Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling.

EPA Science Inventory

Interest in improved understanding of relationships among soil properties and arsenic (As) bioaccessibility has motivated the use of regression models for As bioaccessibility prediction. However, limits in the numbers and types of soils included in previous studies restrict the u...

Organization of excitable dynamics in hierarchical biological networks.

PubMed

Müller-Linow, Mark; Hilgetag, Claus C; Hütt, Marc-Thorsten

2008-09-26

This study investigates the contributions of network topology features to the dynamic behavior of hierarchically organized excitable networks. Representatives of different types of hierarchical networks as well as two biological neural networks are explored with a three-state model of node activation for systematically varying levels of random background network stimulation. The results demonstrate that two principal topological aspects of hierarchical networks, node centrality and network modularity, correlate with the network activity patterns at different levels of spontaneous network activation. The approach also shows that the dynamic behavior of the cerebral cortical systems network in the cat is dominated by the network's modular organization, while the activation behavior of the cellular neuronal network of Caenorhabditis elegans is strongly influenced by hub nodes. These findings indicate the interaction of multiple topological features and dynamic states in the function of complex biological networks.

Work Outcomes in Patients Who Stay at Work Despite Musculoskeletal Pain.

PubMed

Cochrane, Andy; Higgins, Niamh M; Rothwell, Conor; Ashton, Jennifer; Breen, Roisin; Corcoran, Oriel; FitzGerald, Oliver; Gallagher, Pamela; Desmond, Deirdre

2017-12-13

Purpose To assess self-reported work impacts and associations between psychosocial risk factors and work impairment amongst workers seeking care for musculoskeletal pain while continuing to work. Methods Patients were recruited from Musculoskeletal Assessment Clinics at 5 hospitals across Ireland. Participants completed questionnaires including assessments of work impairment (Work Productivity and Activity Impairment Questionnaire), work ability (single item from the Work Ability Index) and work performance (Work Role Functioning Questionnaire; WRFQ). Logistic and hierarchical regressions were conducted to analyse the relation between psychosocial variables and work outcomes. Results 155 participants (53.5% female; mean age = 46.50 years) who were working at the time of assessment completed the questionnaires. Absenteeism was low, yet 62.6% were classified as functioning poorly according to the WRFQ; 52.3% reported having poor work ability. Logistic regression analyses indicated that higher work role functioning was associated with higher pain self-efficacy (OR 1.51); better work ability was associated with older age (OR 1.063) and lower functional restriction (OR 0.93); greater absenteeism was associated with lower pain self-efficacy (OR 0.65) and poorer work expectancy (OR 1.18). Multiple regression analysis indicated that greater presenteeism was associated with higher pain intensity (β = 0.259) and lower pain self-efficacy (β = - 0.385). Conclusions While individuals continue to work with musculoskeletal pain, their work performance can be adversely affected. Interventions that target mutable factors, such as pain self-efficacy, may help reduce the likelihood of work impairment.

Mental Health Correlates of Cigarette Use in LGBT Individuals in the Southeastern United States.

PubMed

Drescher, Christopher F; Lopez, Eliot J; Griffin, James A; Toomey, Thomas M; Eldridge, Elizabeth D; Stepleman, Lara M

2018-05-12

Smoking prevalence for lesbian, gay, bisexual, and transgender (LGBT) individuals is higher than for heterosexual, cisgender individuals. Elevated smoking rates have been linked to psychiatric comorbidities, substance use, poverty, low education levels, and stress. This study examined mental health (MH) correlates of cigarette use in LGBT individuals residing in a metropolitan area in the southeastern United States. Participants were 335 individuals from an LGBT health needs assessment (mean age 34.7; SD = 13.5; 63% gay/lesbian; 66% Caucasian; 81% cisgender). Demographics, current/past psychiatric diagnoses, number of poor MH days in the last 30, the Patient Health Questionnaire (PHQ) 2 depression screener, the Three-Item Loneliness Scale, and frequency of cigarette use were included. Analyses included bivariate correlations, analysis of variance (ANOVA), and regression. Multiple demographic and MH factors were associated with smoker status and frequency of smoking. A logistic regression indicated that lower education and bipolar disorder were most strongly associated with being a smoker. For smokers, a hierarchical regression model including demographic and MH variables accounted for 17.6% of the variance in frequency of cigarette use. Only education, bipolar disorder, and the number of poor MH days were significant contributors in the overall model. Conclusions/Importance: Less education, bipolar disorder, and recurrent poor MH increase LGBT vulnerability to cigarette use. Access to LGBT-competent MH providers who can address culturally specific factors in tobacco cessation is crucial to reducing this health disparities.

Hierarchical spatial capture-recapture models: Modeling population density from stratified populations

USGS Publications Warehouse

Royle, J. Andrew; Converse, Sarah J.

2014-01-01

Capture–recapture studies are often conducted on populations that are stratified by space, time or other factors. In this paper, we develop a Bayesian spatial capture–recapture (SCR) modelling framework for stratified populations – when sampling occurs within multiple distinct spatial and temporal strata.We describe a hierarchical model that integrates distinct models for both the spatial encounter history data from capture–recapture sampling, and also for modelling variation in density among strata. We use an implementation of data augmentation to parameterize the model in terms of a latent categorical stratum or group membership variable, which provides a convenient implementation in popular BUGS software packages.We provide an example application to an experimental study involving small-mammal sampling on multiple trapping grids over multiple years, where the main interest is in modelling a treatment effect on population density among the trapping grids.Many capture–recapture studies involve some aspect of spatial or temporal replication that requires some attention to modelling variation among groups or strata. We propose a hierarchical model that allows explicit modelling of group or strata effects. Because the model is formulated for individual encounter histories and is easily implemented in the BUGS language and other free software, it also provides a general framework for modelling individual effects, such as are present in SCR models.

Mental and Physical Health Correlates among Family Caregivers of Patients with Newly-Diagnosed Incurable Cancer: A Hierarchical Linear Regression Analysis

PubMed Central

Shaffer, Kelly M.; Jacobs, Jamie M.; Nipp, Ryan D.; Carr, Alaina; Jackson, Vicki A.; Park, Elyse R.; Pirl, William F.; El-Jawahri, Areej; Gallagher, Emily R.; Greer, Joseph A.; Temel, Jennifer S.

2016-01-01

Purpose Caregiver, relational, and patient factors have been associated with the health of family members and friends providing care to patients with early-stage cancer. Little research has examined whether findings extend to family caregivers of patients with incurable cancer, who experience unique and substantial caregiving burdens. We examined correlates of mental and physical health among caregivers of patients with newly-diagnosed incurable lung or non-colorectal gastrointestinal cancer. Methods At baseline for a trial of early palliative care, caregivers of participating patients (N=275) reported their mental and physical health (Medical Outcome Survey-Short Form-36); patients reported their quality of life (Functional Assessment of Cancer Therapy-General). Analyses used hierarchical linear regression with two-tailed significance tests. Results Caregivers’ mental health was worse than the U.S. national population (M=44.31, p<.001), yet their physical health was better (M=56.20, p<.001). Hierarchical regression analyses testing caregiver, relational, and patient factors simultaneously revealed that younger (B=0.31, p=.001), spousal caregivers (B=−8.70, p=.003), who cared for patients reporting low emotional well-being (B=0.51, p=.01) reported worse mental health; older (B=−0.17, p=.01) caregivers with low educational attainment (B=4.36, p<.001) who cared for patients reporting low social well-being (B=0.35, p=.05) reported worse physical health. Conclusions In this large sample of family caregivers of patients with incurable cancer, caregiver demographics, relational factors, and patient-specific factors were all related to caregiver mental health, while caregiver demographics were primarily associated with caregiver physical health. These findings help identify characteristics of family caregivers at highest risk of poor mental and physical health who may benefit from greater supportive care. PMID:27866337

Body Esteem Among Women with Multiple Sclerosis and its Relationship with Demographic, Clinical and Socio-Psychological Factors.

PubMed

Wilski, M; Tasiemski, T; Dąbrowski, A

2016-06-01

The principal aim of this study was to verify if specific socio-demographic, clinical, and socio-psychological factors are correlates of body esteem in women with multiple sclerosis (MS). The study included 185 women with MS who completed the Body Esteem Scale (BES), Rosenberg Self-Esteem Scale (RSES), Multiple Sclerosis Impact Scale (MSIS-29), Brief Illness Perception Questionnaire (B-IPQ), Actually Received Support Scale (a part of the Berlin Social Support Scale), and Expanded Disability Status Scale (EDSS). The patients were recruited as a result of cooperation with the Multiple Sclerosis Rehabilitation Centre in Borne Sulinowo and Polish Society of Multiple Sclerosis. The demographic characteristics of the participants and their illness-related problems were determined with a self-report survey. A hierarchical multiple regression revealed that four factors, psychological condition (R (2) = 0.23, p ≤ 0.001), received support (R (2) = 0.28, p ≤ 0.001), personal control (R (2) = 0.30, p ≤ 0.001), and physical condition (R (2) = 0.31, p ≤ 0.001), were significant correlates of the general body esteem in our study group of women with MS. The model explained 31 % of variance in body esteem. Positive body esteem, an important component of self-esteem in women with MS, is associated with better social support, overcoming negative illness-related appraisals and improvement of psychological well-being. Subjective perception of a negative impact of MS on one's physical condition may be helpful in the identification of women with MS being at increased risk of decreased body esteem.

Principles of Temporal Processing Across the Cortical Hierarchy.

PubMed

Himberger, Kevin D; Chien, Hsiang-Yun; Honey, Christopher J

2018-05-02

The world is richly structured on multiple spatiotemporal scales. In order to represent spatial structure, many machine-learning models repeat a set of basic operations at each layer of a hierarchical architecture. These iterated spatial operations - including pooling, normalization and pattern completion - enable these systems to recognize and predict spatial structure, while robust to changes in the spatial scale, contrast and noisiness of the input signal. Because our brains also process temporal information that is rich and occurs across multiple time scales, might the brain employ an analogous set of operations for temporal information processing? Here we define a candidate set of temporal operations, and we review evidence that they are implemented in the mammalian cerebral cortex in a hierarchical manner. We conclude that multiple consecutive stages of cortical processing can be understood to perform temporal pooling, temporal normalization and temporal pattern completion. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Myrtenal, a controversial molecule for the proper application of the CIP Sequence Rule for multiple bonds.

PubMed

Zepeda, L Gerardo; Burgueño-Tapia, Eleuterio; Joseph-Nathan, Pedro

2011-04-01

This communication highlights the need of building hierarchical digraphs for the unequivocal assignment of stereochemical descriptors of (-)-myrtenal, a naturally-occurring oxygenated monoterpene whose absolute configuration (AC) is sometimes misrepresented in its structural formulae. Differentiation between duplicated atoms and phantom atoms for the proper application of the sequence rules is shown to be an essential step to get a proper construction of hierarchical digraphs.

Conflict Resolution in Parent-Adolescent Relationships and Adolescent Delinquency

ERIC Educational Resources Information Center

Van Doorn, Muriel D.; Branje, Susan J. T.; Meeus, Wim H. J.

2008-01-01

This study examines the relation between conflict resolution styles in parent-adolescent relationships and adolescent delinquency. Questionnaires about conflict resolution styles were completed by 284 early adolescents (mean age 13.3) and their parents. Adolescents also completed a questionnaire on delinquency. Hierarchical regression analyses…

Encouraging Community Service through Service Learning.

ERIC Educational Resources Information Center

McCarthy, Anne M.; Tucker, Mary L.

2002-01-01

Using a modified Solomon four-group design, 437 business students were divided into 6 treatment and 2 control groups. Treatments included service-learning lectures, service-learning projects, or lecture and project with and/or without pre and posttests. Hierarchical regression analyses indicated service learning treatments significantly affected…

Stress, Adaptive Coping, and Life Satisfaction

ERIC Educational Resources Information Center

Buser, Juleen K.; Kearney, Anne

2017-01-01

The authors examined the relationship between stress, adaptive coping, and life satisfaction among college students who reported having a friend or family member with eating disorder symptomatology. A hierarchical regression confirmed the study's hypotheses. Higher stress was linked with less life satisfaction. After stress was controlled, plan…

Ideal Teacher Behaviors: Student Motivation and Self-Efficacy Predict Preferences

ERIC Educational Resources Information Center

Komarraju, Meera

2013-01-01

Differences in students' academic self-efficacy and motivation were examined in predicting preferred teacher traits. Undergraduates (261) completed the Teaching Behavior Checklist, Academic Self-Concept scale, and Academic Motivation scale. Hierarchical regression analyses indicated that academic self-efficacy and extrinsic motivation explained…

A Multilevel Assessment of Differential Item Functioning.

ERIC Educational Resources Information Center

Shen, Linjun

A multilevel approach was proposed for the assessment of differential item functioning and compared with the traditional logistic regression approach. Data from the Comprehensive Osteopathic Medical Licensing Examination for 2,300 freshman osteopathic medical students were analyzed. The multilevel approach used three-level hierarchical generalized…

Multicultural Training Experiences as Predictors of Multicultural Competencies: Students' Perspectives

ERIC Educational Resources Information Center

Dickson, Ginger L.; Jepsen, David A.

2007-01-01

The authors surveyed a national sample of master's-level counseling students regarding their multicultural training experiences and their multicultural counseling competencies. A series of hierarchical regression models tested the prediction of inventoried competencies from measures of selected training experiences: (a) program cultural ambience…

The Relationship between Counselors' Multicultural Counseling Competence and Poverty Beliefs

ERIC Educational Resources Information Center

Clark, Madeline; Moe, Jeff; Hays, Danica G.

2017-01-01

The authors explored the relationship between counselors' multicultural counseling competence (MCC), poverty beliefs, and select demographic factors. Results of hierarchical linear regressions indicate that MCC is predictive of counselor individualistic and structural poverty beliefs. Implications for counselor multicultural training and immersion…

Does emotion and its daily fluctuation correlate with depression? A cross-cultural analysis among six developing countries.

PubMed

Chan, Derwin K C; Zhang, Xin; Fung, Helene H; Hagger, Martin S

2015-03-01

Utilizing a World Health Organization (WHO) multi-national dataset, the present study examined the relationships between emotion, affective variability (i.e., the fluctuation of emotional status), and depression across six developing countries, including China (N=15,050); Ghana (N=5,573); India (N=12,198); Mexico (N=5,448); South Africa (N=4,227); and Russia (N=4,947). Using moderated logistic regression and hierarchical multiple regression, the effects of emotion, affective variability, culture, and their interactions on depression and depressive symptoms were examined when statistically controlling for a number of external factors (i.e., age, gender, marital status, education level, income, smoking, alcohol drinking, physical activity, sedentary behavior, and diet). The results revealed that negative emotion was a statistically significant predictor of depressive symptoms, but the strength of association was smaller in countries with a lower incidence of depression (i.e., China and Ghana). The association between negative affective variability and the risk of depression was higher in India and lower in Ghana. Findings suggested that culture not only was associated with the incidence of depression, but it could also moderate the effects of emotion and affective variability on depression or the experience of depressive symptoms. Copyright © 2014 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Risk factors for adolescent alcohol use following a natural disaster.

PubMed

Schroeder, Janine M; Polusny, Melissa A

2004-01-01

On 29 March 1998, a series of category F-3 and F-4 tornadoes caused wide-spread destruction in four rural southern Minnesota counties in the United States. Extensive research has examined the impact of disaster exposure on adults' psychological functioning, including alcohol use. However, there has been little research on potential risk factors for adolescents' alcohol use following disaster exposure. It was hypothesized that demographic variables such as age and gender, prior drinking involvement, extent of prior trauma history, level of disaster exposure, and current disaster-related, post-traumatic stress disorder (PTSD) symptomatology would predict alcohol use among adolescents. Six months following a natural disaster, survey data were collected from 256 adolescents assessing these factors. Risk factors for adolescents' alcohol use were identified using hierarchical, multiple regression and logistic regression analyses. Greater age, prior drinking involvement, and the extent of prior trauma history were significantly associated with higher levels of binge drinking. Prior trauma history and current levels of disaster-related PTSD symptomatology were significant risk factors for adolescents' report of increases in their alcohol consumption since the tornado. In general, the extent of trauma exposure was associated with greater binge drinking among adolescents. Similar to adults, post-traumatic stress symptoms experienced in the aftermath of a disaster can lead to increased alcohol consumption among adolescents.

Suicidality, psychopathology, and the internet: Online time vs. online behaviors.

PubMed

Harris, Keith M; Starcevic, Vladan; Ma, Jing; Zhang, Wei; Aboujaoude, Elias

2017-09-01

This study investigated whether several psychopathology variables, including suicidality, could predict the time people spend using the internet (hours online). Next, we examined a specific at-risk population (suicidal individuals) by their online behaviors, comparing suicidal individuals who went online for suicide-related purposes with suicidal individuals who did not go online for suicide-related purposes. An anonymous online sample of 713 (aged 18-71) reported hours online, psychiatric histories, and completed several standardized scales. After accounting for age and education, hierarchical regression modeling showed that the assessed psychopathology variables, including suicidality, did not explain significant variance in hours online. Hours online were better predicted by younger age, greater willingness to develop online relationships, higher perceived social support, higher curiosity, and lower extraversion. Suicidal participants, who did or did not go online for suicide-related purposes, did not differ on hours online. Multiple regression modeling showed that those who went online for suicide-related purposes were likely to be younger, more suicidal, and more willing to seek help from online mental health professionals. These findings revealed that hours online are not a valid indicator of psychopathology. However, studying online behaviors of specific at-risk groups could be informative and useful, including for suicide prevention efforts. Copyright © 2017. Published by Elsevier B.V.

The importance of trait emotional intelligence and feelings in the prediction of perceived and biological stress in adolescents: hierarchical regressions and fsQCA models.

PubMed

Villanueva, Lidón; Montoya-Castilla, Inmaculada; Prado-Gascó, Vicente

2017-07-01

The purpose of this study is to analyze the combined effects of trait emotional intelligence (EI) and feelings on healthy adolescents' stress. Identifying the extent to which adolescent stress varies with trait emotional differences and the feelings of adolescents is of considerable interest in the development of intervention programs for fostering youth well-being. To attain this goal, self-reported questionnaires (perceived stress, trait EI, and positive/negative feelings) and biological measures of stress (hair cortisol concentrations, HCC) were collected from 170 adolescents (12-14 years old). Two different methodologies were conducted, which included hierarchical regression models and a fuzzy-set qualitative comparative analysis (fsQCA). The results support trait EI as a protective factor against stress in healthy adolescents and suggest that feelings reinforce this relation. However, the debate continues regarding the possibility of optimal levels of trait EI for effective and adaptive emotional management, particularly in the emotional attention and clarity dimensions and for female adolescents.

An Exploratory Factor Analysis of Coping Styles and Relationship to Depression Among a Sample of Homeless Youth.

PubMed

Brown, Samantha M; Begun, Stephanie; Bender, Kimberly; Ferguson, Kristin M; Thompson, Sanna J

2015-10-01

The extent to which measures of coping adequately capture the ways that homeless youth cope with challenges, and the influence these coping styles have on mental health outcomes, is largely absent from the literature. This study tests the factor structure of the Coping Scale using Exploratory Factor Analysis (EFA) and then investigates the relationship between coping styles and depression using hierarchical logistic regression with data from 201 homeless youth. Results of the EFA indicate a 3-factor structure of coping, which includes active, avoidant, and social coping styles. Results of the hierarchical logistic regression show that homeless youth who engage in greater avoidant coping are at increased risk of meeting criteria for major depressive disorder. Findings provide insight into the utility of a preliminary tool for assessing homeless youths' coping styles. Such assessment may identify malleable risk factors that could be addressed by service providers to help prevent mental health problems.

Intelligent Optimization of the Film-to-Fiber Ratio of a Degradable Braided Bicomponent Ureteral Stent

PubMed Central

Liu, Xiaoyan; Li, Feng; Ding, Yongsheng; Zou, Ting; Wang, Lu; Hao, Kuangrong

2015-01-01

A hierarchical support vector regression (SVR) model (HSVRM) was employed to correlate the compositions and mechanical properties of bicomponent stents composed of poly(lactic-co-glycolic acid) (PGLA) film and poly(glycolic acid) (PGA) fibers for urethral repair for the first time. PGLA film and PGA fibers could provide ureteral stents with good compressive and tensile properties, respectively. In bicomponent stents, high film content led to high stiffness, while high fiber content resulted in poor compressional properties. To simplify the procedures to optimize the ratio of PGLA film and PGA fiber in the stents, a hierarchical support vector regression model (HSVRM) and particle swarm optimization (PSO) algorithm were used to construct relationships between the film-to-fiber weight ratio and the measured compressional/tensile properties of the stents. The experimental data and simulated data fit well, proving that the HSVRM could closely reflect the relationship between the component ratio and performance properties of the ureteral stents. PMID:28793658

Hierarchical classification of land use types using multiple vegetation indices to measure the effects of urbanization.

PubMed

Shishir, Sharmin; Tsuyuzaki, Shiro

2018-05-11

Detecting fine-scale spatiotemporal land use changes is a prerequisite for understanding and predicting the effects of urbanization and its related human impacts on the ecosystem. Land use changes are frequently examined using vegetation indices (VIs), although the validation of these indices has not been conducted at a high resolution. Therefore, a hierarchical classification was constructed to obtain accurate land use types at a fine scale. The characteristics of four popular VIs were investigated prior to examining the hierarchical classification by using Purbachal New Town, Bangladesh, which exhibits ongoing urbanization. These four VIs are the normalized difference VI (NDVI), green-red VI (GRVI), enhanced VI (EVI), and two-band EVI (EVI2). The reflectance data were obtained by the IKONOS (0.8-m resolution) and WorldView-2 sensor (0.5-m resolution) in 2001 and 2015, respectively. The hierarchical classification of land use types was constructed using a decision tree (DT) utilizing all four of the examined VIs. The accuracy of the classification was evaluated using ground truth data with multiple comparisons and kappa (κ) coefficients. The DT showed overall accuracies of 96.1 and 97.8% in 2001 and 2015, respectively, while the accuracies of the VIs were less than 91.2%. These results indicate that each VI exhibits unique advantages. In addition, the DT was the best classifier of land use types, particularly for native ecosystems represented by Shorea forests and homestead vegetation, at the fine scale. Since the conservation of these native ecosystems is of prime importance, DTs based on hierarchical classifications should be used more widely.

Conceptual hierarchical modeling to describe wetland plant community organization

USGS Publications Warehouse

Little, A.M.; Guntenspergen, G.R.; Allen, T.F.H.

2010-01-01

Using multivariate analysis, we created a hierarchical modeling process that describes how differently-scaled environmental factors interact to affect wetland-scale plant community organization in a system of small, isolated wetlands on Mount Desert Island, Maine. We followed the procedure: 1) delineate wetland groups using cluster analysis, 2) identify differently scaled environmental gradients using non-metric multidimensional scaling, 3) order gradient hierarchical levels according to spatiotem-poral scale of fluctuation, and 4) assemble hierarchical model using group relationships with ordination axes and post-hoc tests of environmental differences. Using this process, we determined 1) large wetland size and poor surface water chemistry led to the development of shrub fen wetland vegetation, 2) Sphagnum and water chemistry differences affected fen vs. marsh / sedge meadows status within small wetlands, and 3) small-scale hydrologic differences explained transitions between forested vs. non-forested and marsh vs. sedge meadow vegetation. This hierarchical modeling process can help explain how upper level contextual processes constrain biotic community response to lower-level environmental changes. It creates models with more nuanced spatiotemporal complexity than classification and regression tree procedures. Using this process, wetland scientists will be able to generate more generalizable theories of plant community organization, and useful management models. ?? Society of Wetland Scientists 2009.

Hierarchical species distribution models

USGS Publications Warehouse

Hefley, Trevor J.; Hooten, Mevin B.

2016-01-01

Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.

Improving satellite-based PM2.5 estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting.

PubMed

Yu, Wenxi; Liu, Yang; Ma, Zongwei; Bi, Jun

2017-08-01

Using satellite-based aerosol optical depth (AOD) measurements and statistical models to estimate ground-level PM 2.5 is a promising way to fill the areas that are not covered by ground PM 2.5 monitors. The statistical models used in previous studies are primarily Linear Mixed Effects (LME) and Geographically Weighted Regression (GWR) models. In this study, we developed a new regression model between PM 2.5 and AOD using Gaussian processes in a Bayesian hierarchical setting. Gaussian processes model the stochastic nature of the spatial random effects, where the mean surface and the covariance function is specified. The spatial stochastic process is incorporated under the Bayesian hierarchical framework to explain the variation of PM 2.5 concentrations together with other factors, such as AOD, spatial and non-spatial random effects. We evaluate the results of our model and compare them with those of other, conventional statistical models (GWR and LME) by within-sample model fitting and out-of-sample validation (cross validation, CV). The results show that our model possesses a CV result (R 2  = 0.81) that reflects higher accuracy than that of GWR and LME (0.74 and 0.48, respectively). Our results indicate that Gaussian process models have the potential to improve the accuracy of satellite-based PM 2.5 estimates.

Efficient hierarchical trans-dimensional Bayesian inversion of magnetotelluric data

NASA Astrophysics Data System (ADS)

Xiang, Enming; Guo, Rongwen; Dosso, Stan E.; Liu, Jianxin; Dong, Hao; Ren, Zhengyong

2018-06-01

This paper develops an efficient hierarchical trans-dimensional (trans-D) Bayesian algorithm to invert magnetotelluric (MT) data for subsurface geoelectrical structure, with unknown geophysical model parameterization (the number of conductivity-layer interfaces) and data-error models parameterized by an auto-regressive (AR) process to account for potential error correlations. The reversible-jump Markov-chain Monte Carlo algorithm, which adds/removes interfaces and AR parameters in birth/death steps, is applied to sample the trans-D posterior probability density for model parameterization, model parameters, error variance and AR parameters, accounting for the uncertainties of model dimension and data-error statistics in the uncertainty estimates of the conductivity profile. To provide efficient sampling over the multiple subspaces of different dimensions, advanced proposal schemes are applied. Parameter perturbations are carried out in principal-component space, defined by eigen-decomposition of the unit-lag model covariance matrix, to minimize the effect of inter-parameter correlations and provide effective perturbation directions and length scales. Parameters of new layers in birth steps are proposed from the prior, instead of focused distributions centred at existing values, to improve birth acceptance rates. Parallel tempering, based on a series of parallel interacting Markov chains with successively relaxed likelihoods, is applied to improve chain mixing over model dimensions. The trans-D inversion is applied in a simulation study to examine the resolution of model structure according to the data information content. The inversion is also applied to a measured MT data set from south-central Australia.

Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling.

PubMed

Liu, Jianli; Lughofer, Edwin; Zeng, Xianyi

2015-01-01

Modeling human aesthetic perception of visual textures is important and valuable in numerous industrial domains, such as product design, architectural design, and decoration. Based on results from a semantic differential rating experiment, we modeled the relationship between low-level basic texture features and aesthetic properties involved in human aesthetic texture perception. First, we compute basic texture features from textural images using four classical methods. These features are neutral, objective, and independent of the socio-cultural context of the visual textures. Then, we conduct a semantic differential rating experiment to collect from evaluators their aesthetic perceptions of selected textural stimuli. In semantic differential rating experiment, eights pairs of aesthetic properties are chosen, which are strongly related to the socio-cultural context of the selected textures and to human emotions. They are easily understood and connected to everyday life. We propose a hierarchical feed-forward layer model of aesthetic texture perception and assign 8 pairs of aesthetic properties to different layers. Finally, we describe the generation of multiple linear and non-linear regression models for aesthetic prediction by taking dimensionality-reduced texture features and aesthetic properties of visual textures as dependent and independent variables, respectively. Our experimental results indicate that the relationships between each layer and its neighbors in the hierarchical feed-forward layer model of aesthetic texture perception can be fitted well by linear functions, and the models thus generated can successfully bridge the gap between computational texture features and aesthetic texture properties.

Hierarchical clustering of HPV genotype patterns in the ASCUS-LSIL triage study

PubMed Central

Wentzensen, Nicolas; Wilson, Lauren E.; Wheeler, Cosette M.; Carreon, Joseph D.; Gravitt, Patti E.; Schiffman, Mark; Castle, Philip E.

2010-01-01

Anogenital cancers are associated with about 13 carcinogenic HPV types in a broader group that cause cervical intraepithelial neoplasia (CIN). Multiple concurrent cervical HPV infections are common which complicate the attribution of HPV types to different grades of CIN. Here we report the analysis of HPV genotype patterns in the ASCUS-LSIL triage study using unsupervised hierarchical clustering. Women who underwent colposcopy at baseline (n = 2780) were grouped into 20 disease categories based on histology and cytology. Disease groups and HPV genotypes were clustered using complete linkage. Risk of 2-year cumulative CIN3+, viral load, colposcopic impression, and age were compared between disease groups and major clusters. Hierarchical clustering yielded four major disease clusters: Cluster 1 included all CIN3 histology with abnormal cytology; Cluster 2 included CIN3 histology with normal cytology and combinations with either CIN2 or high-grade squamous intraepithelial lesion (HSIL) cytology; Cluster 3 included older women with normal or low grade histology/cytology and low viral load; Cluster 4 included younger women with low grade histology/cytology, multiple infections, and the highest viral load. Three major groups of HPV genotypes were identified: Group 1 included only HPV16; Group 2 included nine carcinogenic types plus non-carcinogenic HPV53 and HPV66; and Group 3 included non-carcinogenic types plus carcinogenic HPV33 and HPV45. Clustering results suggested that colposcopy missed a prevalent precancer in many women with no biopsy/normal histology and HSIL. This result was confirmed by an elevated 2-year risk of CIN3+ in these groups. Our novel approach to study multiple genotype infections in cervical disease using unsupervised hierarchical clustering can address complex genotype distributions on a population level. PMID:20959485

Cognitive-graphic method for constructing of hierarchical forms of basic functions of biquadratic finite element

NASA Astrophysics Data System (ADS)

Astionenko, I. O.; Litvinenko, O. I.; Osipova, N. V.; Tuluchenko, G. Ya.; Khomchenko, A. N.

2016-10-01

Recently the interpolation bases of the hierarchical type have been used for the problem solving of the approximation of multiple arguments functions (such as in the finite-element method). In this work the cognitive graphical method of constructing of the hierarchical form bases on the serendipity finite elements is suggested, which allowed to get the alternative bases on a biquadratic finite element from the serendipity family without internal knots' inclusion. The cognitive-graphic method allowed to improve the known interpolation procedure of Taylor and to get the modified elements with irregular arrangement of knots. The proposed procedures are universal and are spread in the area of finite-elements.

Activity recognition using dynamic multiple sensor fusion in body sensor networks.

PubMed

Gao, Lei; Bourke, Alan K; Nelson, John

2012-01-01

Multiple sensor fusion is a main research direction for activity recognition. However, there are two challenges in those systems: the energy consumption due to the wireless transmission and the classifier design because of the dynamic feature vector. This paper proposes a multi-sensor fusion framework, which consists of the sensor selection module and the hierarchical classifier. The sensor selection module adopts the convex optimization to select the sensor subset in real time. The hierarchical classifier combines the Decision Tree classifier with the Naïve Bayes classifier. The dataset collected from 8 subjects, who performed 8 scenario activities, was used to evaluate the proposed system. The results show that the proposed system can obviously reduce the energy consumption while guaranteeing the recognition accuracy.

Is psychotropic medication use related to organisational and treatment culture in residential care.

PubMed

Peri, Kathryn; Kerse, Ngaire; Moyes, Simon; Scahill, Shane; Chen, Charlotte; Hong, Jae Beom; Hughes, Carmel M

2015-01-01

The purpose of this paper is to establish the relationship between organisational culture and psychotropic medication use in residential care. Cross-sectional analyses of staff and resident's record survey in residential aged care facilities in Auckland, New Zealand (NZ). The competing values framework categorised organisational culture as clan, hierarchical, market driven or adhocracy and was completed by all staff. The treatment culture tool categorised facilities as having resident centred or traditional culture and was completed by registered nursing staff and general practitioners (GP). Functional and behavioural characteristics of residents were established by staff report and health characteristics and medications used were ascertained from the health record. Multiple regression was used to test for associations between measures of culture with psychotropic medication use (anxiolytics, sedatives, major tranquillisers). In total 199 staff, 27 GP and 527 residents participated from 14 facilities. On average 8.5 medications per resident were prescribed and 42 per cent of residents received psychotropic medication. Having a diagnosis of anxiety or depression (odds ratio (OR) 3.18, 95 per cent confidence interval (CI) 1.71, 5.91), followed by persistent wandering (OR 2.53, 95 per cent CI 1.59, 4.01) and being in a dementia unit (OR 2.45, 95 per cent CI 1.17, 5.12) were most strongly associated with psychotropic use. Controlling for resident- and facility-level factors, health care assistants' assignation of hierarchical organisational culture type was independently associated with psychotropic medication use, (OR 1.29, CI 1.08, 1.53) and a higher treatment culture score from the GP was associated with lower use of psychotropic medication (OR 0.95, CI 0.92, 0.98). Psychotropic medication use remains prevalent in residential care facilities in NZ. Interventions aimed at changing organisational culture towards a less hierarchical and more resident-centred culture may be another avenue to improve prescribing in residential aged care.

Numerical Modelling of Tertiary Tides

NASA Astrophysics Data System (ADS)

Gao, Yan; Correia, Alexandre C. M.; Eggleton, Peter P.; Han, Zhanwen

2018-06-01

Stellar systems consisting of multiple stars tend to undergo tidal interactions when the separations between the stars are short. While tidal phenomena have been extensively studied, a certain tidal effect exclusive to hierarchical triples (triples in which one component star has a much wider orbit than the others) has hardly received any attention, mainly due to its complexity and consequent resistance to being modelled. This tidal effect is the tidal perturbation of the tertiary by the inner binary, which in turn depletes orbital energy from the inner binary, causing the inner binary separation to shrink. In this paper, we develop a fully numerical simulation of these "tertiary tides" by modifying established tidal models. We also provide general insight as to how close a hierarchical triple needs to be in order for such an effect to take place, and demonstrate that our simulations can effectively retrieve the orbital evolution for such systems. We conclude that tertiary tides are a significant factor in the evolution of close hierarchical triples, and strongly influence at least ˜1% of all multiple star systems.

Acculturative Stress, Parental and Professor Attachment, and College Adjustment in Asian International Students

ERIC Educational Resources Information Center

Han, Suejung; Pistole, M. Carole; Caldwell, Jarred M.

2017-01-01

This study examined parental and professor attachment as buffers against acculturative stress and as predictors of college adjustment of 210 Asian international students (AISs). Moderated hierarchical regression analyses revealed that acculturative stress negatively and secure parental and professor attachment positively predicted academic…

The Relationship Between Second Language Anxiety and International Nursing Students Stress

ERIC Educational Resources Information Center

Khawaja, Nigar G.; Chan, Sabrina; Stein, Georgia

2017-01-01

We examined the relationship between second language anxiety and international nursing student stress after taking into account the demographic, cognitive, and acculturative factors. International nursing students (N = 152) completed an online questionnaire battery. Hierarchical regression analysis revealed that spoken second language anxiety and…

The Role of Religiosity in African American Preadolescent Aggression

ERIC Educational Resources Information Center

Holmes, Khiela J.; Lochman, John E.

2012-01-01

This study examined the role of parent and preadolescent religiosity in aggression among African American preadolescents with moderate to high aggression. Hierarchical regression analyses were used to determine (a) which aspects of parent and preadolescent religiosity (i.e., church attendance, private religious activities, and intrinsic…

Teams as a Learning Forum for Accounting Professionals.

ERIC Educational Resources Information Center

Kleinman, Gary; Siegel, Philip; Eckstein, Claire

2002-01-01

Hierarchical regression and structural equation modeling of data from 440 accountants found that social interaction in work teams fosters individual, organizational, and team learning. Organizational and personal learning mediated the relationship between team social interaction processes and the attitudinal outcomes, but team learning did not.…

Psychosocial factors affecting resilience in Nepalese individuals with earthquake-related spinal cord injury: a cross-sectional study.

PubMed

Bhattarai, Muna; Maneewat, Khomapak; Sae-Sia, Wipa

2018-03-02

One of many types of injuries following an earthquake is spinal cord injury (SCI) which is a life-long medically complex injury and high-cost health problem. Despite several negative consequences, some persons with SCI are resilient enough to achieve positive adjustment, greater acceptance, and better quality of life. Since resilience is influenced by several factors and can vary by context, it is beneficial to explore factors that affect the resilience of people who sustained spinal cord injury from the 2015 earthquake in Nepal. A descriptive cross-sectional study included 82 participants from the Spinal Injury Rehabilitation Center and communities in Nepal. Participants completed the Demographic and Injury-related Questionnaire, Connor-Davidson Resilience Scale, Multidimensional Scale of Perceived Social Support, Moorong Self-efficacy Scale, Intrinsic Spirituality Scale, and Patient Health Questionnaire-9. Pearson's correlation and point biserial correlation analyses were performed to examine associations between resilience and independent variables. A hierarchical regression analysis was used to identify the influence of certain factors. Findings indicated significant associations between resilience and social support (r = 0.42, p < 0.001), self-efficacy (r = 0.53, p < 0.001), depressive mood (r = - 0.50, p < 0.001) and demographic variables which included sex (r = 0.47, p < 0.001), employment (r = 0.27, p = 0.016), and current living location (r = 0.24, p = 0.029). There was a non-significant association between resilience and spirituality (r = - 0.12, p > 0.05). In hierarchical regression analysis, an overall regression model explained 46% of the variance in resilience. Self-efficacy (β = 0.28, p = 0.007) and depressive mood (β = - 0.24, p = 0.016) significantly determined resilience after controlling the effect of demographic variables. Among the demographic factors, being male significantly explained the variance in resilience (β = 0.31, p = 0.001). Multiple psychosocial and demographic factors were associated with resilience in people who sustained an earthquake-related SCI. Mental health professionals should demonstrate concern and consider such factors in allocating care in this group. Development of intervention research concerning resilience is recommended to strengthen resilience in order to improve rehabilitation outcomes and enhance reintegration of individuals with SCI into their communities.

N-Doped carbon spheres with hierarchical micropore-nanosheet networks for high performance supercapacitors.

PubMed

Wang, Shoupei; Zhang, Jianan; Shang, Pei; Li, Yuanyuan; Chen, Zhimin; Xu, Qun

2014-10-18

N-doped carbon spheres with hierarchical micropore-nanosheet networks (HPSCSs) were facilely fabricated by a one-step carbonization and activation process of N containing polymer spheres by KOH. With the synergy effect of the multiple structures, HPSCSs exhibit a very high specific capacitance of 407.9 F g(-1) at 1 mV s(-1) (1.2 times higher than that of porous carbon spheres) and a robust cycling stability for supercapacitors.

Methodology to develop crash modification functions for road safety treatments with fully specified and hierarchical models.

PubMed

Chen, Yongsheng; Persaud, Bhagwant

2014-09-01

Crash modification factors (CMFs) for road safety treatments are developed as multiplicative factors that are used to reflect the expected changes in safety performance associated with changes in highway design and/or the traffic control features. However, current CMFs have methodological drawbacks. For example, variability with application circumstance is not well understood, and, as important, correlation is not addressed when several CMFs are applied multiplicatively. These issues can be addressed by developing safety performance functions (SPFs) with components of crash modification functions (CM-Functions), an approach that includes all CMF related variables, along with others, while capturing quantitative and other effects of factors and accounting for cross-factor correlations. CM-Functions can capture the safety impact of factors through a continuous and quantitative approach, avoiding the problematic categorical analysis that is often used to capture CMF variability. There are two formulations to develop such SPFs with CM-Function components - fully specified models and hierarchical models. Based on sample datasets from two Canadian cities, both approaches are investigated in this paper. While both model formulations yielded promising results and reasonable CM-Functions, the hierarchical model was found to be more suitable in retaining homogeneity of first-level SPFs, while addressing CM-Functions in sub-level modeling. In addition, hierarchical models better capture the correlations between different impact factors. Copyright © 2014 Elsevier Ltd. All rights reserved.

Attachment to parents and peers as a risk factor for adolescent depressive disorders: the mediating role of emotion regulation.

PubMed

Kullik, Angelika; Petermann, Franz

2013-08-01

This study examined emotion regulation as a mediator in the relationship of attachment and depression in adolescents. Participants (N girls = 127; M age = 14.50; N boys = 121; M age = 14.31) completed self-report questionnaires of attachment to parents and peers, emotion regulation and depression. Models with dysfunctional emotion regulation as a mediation variable were tested via hierarchical multiple regression analyses and bootstrapping procedure. Results revealed significant relations between attachment to parents and peers, dysfunctional emotion regulation and depression. For girls, internal-dysfunctional emotion regulation was a mediator in the relation of attachment to parents and depression and partly mediated the association of attachment to peers. For boys, internal- and external-dysfunctional emotion regulation acted as partly mediators in association of attachment to parents and depression. Results indicate important mechanisms that contribute to the refinement of conceptual models and provide indications for gender specific prevention and intervention for depressive disorders.

Medication Adherence and Quality of Life in Pediatric Inflammatory Bowel Disease

PubMed Central

Davis, Christine M.; Baldassano, Robert N.

2008-01-01

Objective To examine the relationship between medication adherence and quality of life (QOL) in adolescent patients with inflammatory bowel disease (IBD) utilizing a multimethod adherence assessment approach. Methods Medication adherence in 36 adolescents with IBD was assessed via interviews, pill counts, and biological assays. QOL was assessed via patient and parent report. Pediatric gastroenterologists provided disease severity assessments. Results Hierarchical multiple regression analyses revealed that adherence contributed significant variance to patient-reported QOL but not parent-reported QOL. Nonadherence to 6-MP/azathioprine was related to poorer patient-reported physical health QOL. Greater self-reported 5-ASA adherence was related to poorer overall psychological health QOL, and particularly social functioning QOL. Conclusions Results provide preliminary support for the negative effects of 6-MP/azathioprine nonadherence on QOL and an inverse relationship between 5-ASA adherence and QOL in this population. Adherence burden in patients and the utility of multimethod adherence assessment in research are discussed. PMID:18337262

An exploratory study of the relationship between resilience, academic burnout and psychological health in nursing students.

PubMed

Ríos-Risquez, Mª Isabel; García-Izquierdo, Mariano; Sabuco-Tebar, Emiliana de Los Angeles; Carrillo-Garcia, Cesar; Martinez-Roche, Maria Emilia

2016-08-01

The purpose of this study was to examine the relationship between resilience, academic burnout and psychological health in a sample of nursing students. A descriptive and cross-sectional design was applied, with questionnaires as tools. The convenience sample consisted of 113 nursing students in their final academic year, who voluntarily participated in the study. The results indicated a statistically significant relationship between resilience and both emotional exhaustion (r = -.55; p < .01) and psychological health (r = -.62; p < .01), as well as between all three dimensions of burnout and psychological health. Hierarchical multiple regression analysis indicated that high scores for resilience and low scores for emotional exhaustion predict better perceived psychological health [F (2.96)  = 17.75; p < .001]. Resilience was associated with lower levels of psychological discomfort and academic burnout. These findings highlight the importance of developing resilience and integrating it as an element in the nursing educational programme.

Empowerment, feminism, and self-efficacy: relationships to body image and disordered eating.

PubMed

Kinsaul, Jessica A E; Curtin, Lisa; Bazzini, Doris; Martz, Denise

2014-01-01

Sociocultural norms pertaining to an ideal of thinness for women likely play a role in the development and maintenance of disturbance in body image, and by extension, disordered eating. However, competing norms associated with feminism may buffer women from pressures associated with achieving the thin ideal. The present study explored the relationship between feminist ideology, empowerment, and self-efficacy relative to body image and eating behavior with a sample of U.S. undergraduate women (N=318) attending a southeastern U.S. mid-sized university. In planned hierarchical multiple regression analyses, endorsement of feminist ideology predicted perceptions of positive body image, but did not appear to predict disordered eating. Self-efficacy emerged as a robust predictor of positive body image and lower disordered eating even after controlling for perceptions of personal empowerment and feminism. Results, although limited by correlational data, suggest that self-efficacy may protect college-aged women from disordered eating and negative body image. Copyright © 2013 Elsevier Ltd. All rights reserved.

Prevalence of Erectile Dysfunction and Associated Factors in Korean Older Adults With Coronary Artery Disease.

PubMed

Son, Youn-Jung; Jang, Miyoun; Jun, Eun-Young

2016-10-01

The current study aimed to identify the prevalence and associated factors of erectile dysfunction (ED) among 161 Korean adults 60 and older with coronary artery disease (CAD). ED was diagnosed in 72.2% of patients-the prevalence of which was significantly associated with age, education, employment, monthly income, frequency of sexual intercourse, body mass index, and low-density lipoprotein. Health-related quality of life (HRQoL) was lower in patients with ED than in those without ED (p < 0.001). Hierarchical multiple regression analysis revealed that ED significantly influenced HRQoL in patients with CAD after adjusting for sociodemographic and disease-related characteristic variables (p < 0.001). Interventions and training courses for health care providers should focus on improving caregivers' knowledge and communication skills with patients and spouses regarding sexual health. Furthermore, guidelines to improve HRQoL in patients with CAD should consider incorporating sexual counseling. [Journal of Gerontological Nursing, 42(10), 32-41.]. Copyright 2016, SLACK Incorporated.

Psychological Detachment from Work during Off-job Time: Predictive Role of Work and Non-work Factors in Japanese Employees

PubMed Central

SHIMAZU, Akihito; DE JONGE, Jan; KUBOTA, Kazumi; KAWAKAMI, Norito

2014-01-01

Psychological detachment from work, an off-job experience of “switching off” mentally, seems to be crucial for promoting employee’s well-being. Previous studies on predictors of psychological detachment mainly focused on job-related factors, and only a few studies focused on family-related and personal factors. This study focuses not only on job-related factors (job demands, job control, workplace support) but also on family-related (family/friend support) and personal factors (workaholism), and examines the relation of these three factors with psychological detachment. Data of 2,520 Japanese employees was randomly split into two groups and then analyzed using cross-validation. Hierarchical multiple regression analyses revealed that family/friend support had a positive association with psychological detachment, whereas a subscale of workaholism (i.e. working compulsively) had negative associations with it across the two groups. Results suggest that family/friend support would facilitate psychological detachment whereas workaholism would inhibit it. PMID:24492761

Assessing the Effects of Financial Literacy on Patient Engagement.

PubMed

Meyer, Melanie A; Hudak, Ronald P

2016-07-01

We investigated the relationship between financial literacy and patient engagement while considering the possible interaction effects due to patient financial responsibility and patient-physician shared decision making, and the impact of personal attributes. Participants consisted of an Internet-based sample of American adults (N = 160). Hierarchical multiple linear regression analysis was conducted to examine the relationship of the study variables on patient engagement. We found that patient financial responsibility (β = -.19, p < .05) and patient-physician shared decision-making (β = .17, p < .05) predicted patient engagement. However, there was no statistically significant relationship between patient financial literacy and patient engagement; moreover, the moderation effects of patient financial responsibility and shared decision making with financial literacy also were not statistically significant. Increasing patient financial responsibility and patient-physician shared decision making can impact patient engagement. Understanding the predictors of patient engagement and the factors that influence financial behaviors may allow for the development of interventions to enable patients to make better healthcare decisions, and ultimately, improve health outcomes.

The cognitive bases of the development of past and future episodic cognition in preschoolers.

PubMed

Ünal, Gülten; Hohenberger, Annette

2017-10-01

The aim of this study was to use a minimalist framework to examine the joint development of past and future episodic cognition and their underlying cognitive abilities in 3- to 5-year-old Turkish preschoolers. Participants engaged in two main tasks, a what-where-when (www) task to measure episodic memory and a future prediction task to measure episodic future thinking. Three additional tasks were used for predicting children's performance in the two main tasks: a temporal language task, an executive function task, and a spatial working memory task. Results indicated that past and future episodic tasks were significantly correlated with each other even after controlling for age. Hierarchical multiple regressions showed that, after controlling for age, the www task was predicted by executive functions, possibly supporting binding of episodic information and by linguistic abilities. The future prediction task was predicted by linguistic abilities alone, underlining the importance of language for episodic past and future thinking. Copyright © 2017 Elsevier Inc. All rights reserved.

The Relationship Between Sexual Minority Stigma and Sexual Health Risk Behaviors Among HIV-Positive Older Gay and Bisexual Men

PubMed Central

Emlet, Charles A.; Fredriksen-Goldsen, Karen I.; Kim, Hun-Jun; Hoy-Ellis, Charles

2015-01-01

This study investigates how internalized sexual minority stigma and enacted sexual minority stigma in health care settings are associated with sexual health risk behaviors (SRBs) and the mediating role of infrequent routine health care and perceived stress among older gay and bisexual (G/B) men living with HIV disease. Survey responses from 135 sexually active older G/B men living with HIV were analyzed using hierarchical linear regression models. Results indicate that one fifth of G/B older adult men living with HIV are engaged in multiple SRBs. Internalized sexual minority stigma and enacted sexual minority stigma in health care settings are significantly associated with SRBs. The relationship between internalized sexual minority stigma and SRBs are mediated by infrequent routine health care and elevated levels of perceived stress. Improved primary and secondary prevention strategies are needed for the growing number of sexually active older G/B men. PMID:26100507

Autonomous motivation: a predictor of treatment outcome in bulimia-spectrum eating disorders.

PubMed

Mansour, Sandra; Bruce, Kenneth R; Steiger, Howard; Zuroff, David C; Horowitz, Sarah; Anestin, Annelie S; Sycz, Lindsay

2012-05-01

Individuals with eating disorders are said to be highly ambivalent towards change and thus have difficulty maintaining a commitment to, and motivation for, treatment. Self-Determination Theory postulates that autonomous motivation for therapy exists when individuals view their participation as freely chosen. The present study was designed to ascertain whether or not autonomous motivation was associated with treatment response in individuals with bulimia-spectrum eating disorders (BSED). One hundred and fifty-five women with DSM-IV-TR BSED participated in multimodal group therapy and completed measures to assess motivation, eating and comorbid symptoms. Hierarchical multiple regression analyses demonstrated that higher levels of autonomous motivation at pretreatment predicted lower post-treatment scores on measures of eating preoccupations (shape, weight and eating concerns), binge eating, anxiety/depression, relationship to self and others and impulsivity. These results indicate that autonomous motivation may be an important predictor of outcome following treatment for BSED. Copyright © 2012 John Wiley & Sons, Ltd and Eating Disorders Association.

The role of self-transcendence: a missing variable in the pursuit of successful aging?

PubMed

McCarthy, Valerie Lander; Ling, Jiying; Carini, Robert M

2013-07-01

While successful aging is often defined as the absence of disease and disability or as life satisfaction, self-transcendence may also play an important role. The objective of this research was to test a nursing theory of successful aging proposing that transcendence and adaptation predict successful aging. In this cross-sectional exploratory study, a convenience sample of older adults (N = 152) were surveyed about self-transcendence, proactive coping, and successful aging. Using hierarchical multiple regression, self-transcendence, proactive coping, and all control variables (i.e., sex, race, perceived health, place of residence) together explained 50% of the variance in successful aging (p < 0.001). However, proactive coping alone was not a significant predictor of successful aging. Thus, this study did not support the theory that both self-transcendence and proactive coping predict successful aging. Self-transcendence was the only significant contributor to this multidimensional view of successful aging. Self-transcendence is an important variable in the pursuit of successful aging, which merits further investigation. Copyright 2013, SLACK Incorporated.

The role of early maturation, perceived popularity, and rumors in the emergence of internalizing symptoms among adolescent girls.

PubMed

Reynolds, Bridget M; Juvonen, Jaana

2011-11-01

Despite the widely reported link between early pubertal timing and internalizing symptoms among girls, less is known about the peer reputation of earlier maturing girls. The current study assesses whether early maturation is associated with perceived popularity and/or rumors, and whether these reputational factors help account for earlier maturing girls' vulnerability to emotional distress. Drawing on three waves of data collected from an ethnically diverse sample of middle school girls (n = 912), hierarchical multiple regression analyses revealed that more advanced development at the start of middle school predicted peer- and teacher-reported popularity as well as increased risk of being targeted for rumors. Mediation analyses suggested that popularity among boys can put earlier developing girls at risk for rumors. Finally, rumors acted as a partial mechanism through which early maturation was associated with subsequent internalizing symptoms. Knowledge of the peer mechanisms putting earlier developing girls at risk for psychosocial maladjustment can inform intervention and prevention efforts aimed at improving adolescent well-being.

imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel

PubMed Central

Grapov, Dmitry; Newman, John W.

2012-01-01

Summary: Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Availability and implementation: Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010). Contact: John.Newman@ars.usda.gov Supplementary Information: Installation instructions, tutorials and users manual are available at http://sourceforge.net/projects/imdev/. PMID:22815358

Post Traumatic Stress Disorder/PTSD in adolescent victims of sexual abuse: resilience and social support as protection factors

PubMed Central

Hébert, Martine; Lavoie, Francine; Blais, Martin

2015-01-01

The present analysis explored the contribution of personal (resilience), familial (maternal and paternal support, sibling support) and extra-familial (peer support, other adult) to the prediction of clinical levels of PTSD symptoms in teenagers reporting sexual abuse while controlling for abuse-related variables (type of abuse, severity, and multiple abuse). In a representative sample of high schools students in the province of Quebec, a total of 15.2% of high school girls and 4.4% of high school boys reported a history of child sexual abuse. Sexually abused girls (27.8%) were more likely than boys (14.9%) to obtain scores reaching clinical levels of PTSD symptoms. A logistic hierarchical regression revealed that over and above the characteristics of the sexual abuse experienced, resilience, maternal as well as peer support contributed to the prediction of symptoms of PTSD reaching the clinical threshold. Avenues for intervention practices and prevention among adolescent victims of sexual assault are discussed. PMID:24714884

The Interactive Influence of Cannabis-Related Negative Expectancies and Coping Motives on Cannabis Use Behavior and Problems.

PubMed

Foster, Dawn W; Jeffries, Emily R; Zvolensky, Michael J; Buckner, Julia D

2016-09-18

The present study tested whether coping motives for cannabis use moderate the effect of negative expectancies on cannabis use. Participants were 149 (36.2% female, 61.59% non-Hispanic Caucasian) current cannabis users aged 18-36 (M = 21.01, SD = 3.09) who completed measures of cannabis-related expectancies and motives for use. Hierarchical multiple regressions were employed to investigate the predictive value of the interaction between negative expectancies and coping motives on cannabis use outcomes. Results revealed interactions between negative expectancies and coping motives with respect to past 90 day cannabis use frequency and cannabis problems. Global negative effects expectancies were associated with less frequent cannabis use, particularly among those with fewer coping motives. However, negative expectancies were related to more cannabis problems, particularly among those with higher coping motives. These results suggest it may be advisable to take coping motives into account when addressing expectancies among cannabis users.

Investigating the incremental validity of cognitive variables in early mathematics screening.

PubMed

Clarke, Ben; Shanley, Lina; Kosty, Derek; Baker, Scott K; Cary, Mari Strand; Fien, Hank; Smolkowski, Keith

2018-03-26

The purpose of this study was to investigate the incremental validity of a set of domain general cognitive measures added to a traditional screening battery of early numeracy measures. The sample consisted of 458 kindergarten students of whom 285 were designated as severely at-risk for mathematics difficulty. Hierarchical multiple regression results indicated that Wechsler Abbreviated Scales of Intelligence (WASI) Matrix Reasoning and Vocabulary subtests, and Digit Span Forward and Backward measures explained a small, but unique portion of the variance in kindergarten students' mathematics performance on the Test of Early Mathematics Ability-Third Edition (TEMA-3) when controlling for Early Numeracy Curriculum Based Measurement (EN-CBM) screening measures (R² change = .01). Furthermore, the incremental validity of the domain general cognitive measures was relatively stronger for the severely at-risk sample. We discuss results from the study in light of instructional decision-making and note the findings do not justify adding domain general cognitive assessments to mathematics screening batteries. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Attitude Ambivalence, Friend Norms, and Adolescent Drug Use

PubMed Central

Hohman, Zachary P.; Crano, William D.; Siegel, Jason T.; Alvaro, Eusebio M.

2013-01-01

This study assessed the moderating effects of attitudinal ambivalence on adolescent marijuana use in the context of the theory of planned behavior (TPB). With data from the National Survey of Parents and Youth (N=1,604), two hierarchical multiple regression models were developed to examine the association of ambivalent attitudes, intentions, and later marijuana use. The first model explored the moderating effect of ambivalence on intentions to use marijuana; the second tested the moderation of ambivalence on actual marijuana use 1 year later. Results across both analyses suggest that ambivalence moderated the association of friend norms and subsequent adolescent marijuana use: friend norms were better predictors of marijuana intentions (β=0.151, t=2.29, p=0.02) and subsequent use when adolescents were attitudinally ambivalent about marijuana use (β=0.071, t=2.76, p= 0.006). These results suggest that preventive programs that affect the certainty with which adolescents holds pro- or antimarijuana attitudes may influence the likelihood of their resistance to, initiation, or continuance of marijuana use. PMID:23404670

[Effect of work and organizational characteristics on workers in call centers: longitudinal study in an information service company].

PubMed

Tei, Maki; Yamazaki, Yoshihiko

2005-09-01

To investigate the effect of work and organizational characteristics on workers' health status, with job dissatisfaction and intentions to leave as "organizational health", we conducted a longitudinal study using a questionnaire survey in call centers of an information service company from July to August in 2001 and 2002. The response rates were 96.2% and 92.0%, respectively. For the statistical analysis, the completed data of 296 technical support staff, which was more than 80% of the data, was used. We identified seven subscales composed of 29 items of work and organizational characteristics as scales of "organizational characteristics" and "work and workplace characteristics". The results of hierarchical multiple regression analysis showed quantitative and qualitative job-overload influenced psychological health status and poor supervisor support influenced all outcome variables. Moreover, "organizational characteristics" influenced cumulative fatigue and job dissatisfaction, showing an indirect effect with poor supervisor support and coworker support. This study suggests that measures of work and organizational characteristics are useful interventions for "organizational health".

THE RELATIONSHIP BETWEEN REASONS FOR DRINKING ALCOHOL AND ALCOHOL CONSUMPTION: AN INTERACTIONAL APPROACH

PubMed Central

ABBEY, ANTONIA; SMITH, MARY JO; SCOTT, RICHARD O.

2015-01-01

Two motives for alcohol consumption have been emphasized in the etiological and the reasons-for-drinking literature: (a) people drink alcohol to cope with stress, and (b) people drink alcohol because of social influences. There is support for both of these hypotheses, but the results are usually modest and most authors agree that more complex theories of alcohol consumption are needed. This study examined the interactional effects of reasons for drinking alcohol and situational factors on alcohol consumption. Standardized telephone interviews were conducted with 781 randomly selected Michigan drinkers. Hierarchical multiple regression analyses indicated that gender, friends’ alcohol consumption, coping, and social motives for drinking were significant predictors of study participants’ alcohol consumption. As predicted, there was a significant interaction between drinking to cope with stress and perceived stress, and there was also a significant interaction between drinking for social reasons and friends’ alcohol consumption. Similarities and differences in the results for women, men, Blacks, and Whites are described. PMID:8178704

Emerging adults' perspectives on their relationships with mothers with mental illness: implications for caregiving.

PubMed

Abraham, Kristen M; Stein, Catherine H

2012-10-01

Guided by a life course perspective, the current study examined whether emerging adults with and without mothers with affective disorders viewed their relationships with their mothers differently, and whether aspects of the emerging adult-mother relationship were associated with reports of caregiving for mothers. Reports from emerging adults with mothers with affective disorders (n = 46) were compared to reports from emerging adults with mothers without mental illness (n = 64). Results indicated that emerging adults with mothers with affective disorders reported significantly lower levels of affection, felt obligation, reciprocity, and future caregiving intentions, and significantly higher levels of role reversal in their relationships with their mothers. Reported current caregiving levels did not differ between emerging adults with and without mothers with affective disorders. Hierarchical multiple regression analyses generally indicated higher levels of felt obligation were associated with higher levels of caregiving, regardless of maternal mental health status. Results and future research directions are discussed from a life course perspective. © 2012 American Orthopsychiatric Association.

Protective resources and perceptions of stress in a multi-ethnic sample of school-age children.

PubMed

Taxis, J Carole; Rew, Lynn; Jackson, Kate; Kouzekanani, Kamiar

2004-01-01

To investigate the relationship among protective resources of social connectedness, coping skills, and the perception of stress in 613 Hispanic and White school-aged children. A secondary analysis of data, part of a longitudinal cohort-sequential study designed to investigate health-risk behaviors in school-age children. Data were collected by computer-assisted self-interviewing from a non-probability sample of 8-12-year-olds in three independent school districts. Hierarchical multiple regression analysis indicated that social connectedness and the frequency of coping strategies used accounted for 18.8% of the variation in stress. "Feeling sick" was the primary stressor of the participants, while the two most frequently endorsed coping strategies were "watch TV or listen to music" and "draw, write, or read something." The findings are significant because nurses working with children are in a strategic position to assess risk factors and protective resources related to stress and intervene in a timely manner to assist children and families develop resiliency.

International Nursing: Research on the Correlation Between Empathy and China's Big Five Personality Theory: Implications for Nursing Leaders.

PubMed

Wang, Cong; Wu, Qin; Feng, Mei; Wan, Qunfang; Wu, Xiaoling

To investigate the characteristics of nurses' empathy and explore the correlation between nurses' empathy and personality, a cross-sectional study with 250 nurses from a general hospital in China was conducted using the Chinese Big Five Personality Inventory (CBF-PI) and the Jefferson Scale of Empathy-Health Professionals (JSE-HP). The total score of the JSE-HP was 110.60 (SD = 11.71). Employment forms and child-rearing situations were the significant predictors of the JSE-HP score. Multiple hierarchical regression analysis indicated that the JSE-HP score was positively correlated with conscientiousness and agreeableness and the contribution of CBF-PI to JSE-HP scale variances was 15.1%. The results demonstrated that nurses' empathy is on the high level. The Big Five Personality model is a significant predictor of nurses' empathy. The findings of the study provide reference for nurses' humanistic care training and education. In addition, training programs emphasizing emotions, psychology, humanistic quality, and healthy personality should be strengthened to promote nurses' empathy.

Evaluating emotional sensitivity and tolerance factors in the prediction of panic-relevant responding to a biological challenge.

PubMed

Kutz, Amanda; Marshall, Erin; Bernstein, Amit; Zvolensky, Michael J

2010-01-01

The current study investigated anxiety sensitivity, distress tolerance (Simons & Gaher, 2005), and discomfort intolerance (Schmidt, Richey, Cromer, & Buckner, 2007) in relation to panic-relevant responding (i.e., panic attack symptoms and panic-relevant cognitions) to a 10% carbon dioxide enriched air challenge. Participants were 216 adults (52.6% female; M(age)=22.4, SD=9.0). A series of hierarchical multiple regressions was conducted with covariates of negative affectivity and past year panic attack history in step one of the model, and anxiety sensitivity, discomfort intolerance, and distress tolerance entered simultaneously into step two. Results indicated that anxiety sensitivity, but not distress tolerance or discomfort intolerance, was significantly incrementally predictive of physical panic attack symptoms and cognitive panic attack symptoms. Additionally, anxiety sensitivity was significantly predictive of variance in panic attack status during the challenge. These findings emphasize the important, unique role of anxiety sensitivity in predicting risk for panic psychopathology, even when considered in the context of other theoretically relevant emotion vulnerability variables.

Traumatic Stress, Perceived Global Stress, and Life Events: Prospectively Predicting Quality of Life in Breast Cancer Patients

PubMed Central

Golden-Kreutz, Deanna M.; Thornton, Lisa M.; Gregorio, Sharla Wells-Di; Frierson, Georita M.; Jim, Heather S.; Carpenter, Kristen M.; Shelby, Rebecca A.; Andersen, Barbara L.

2007-01-01

The authors investigated the relationship between stress at initial cancer diagnosis and treatment and subsequent quality of life (QoL). Women (n = 112) randomized to the assessment-only arm of a clinical trial were initially assessed after breast cancer diagnosis and surgery and then reassessed at 4 months (during adjuvant treatment) and 12 months (postadjuvant treatment). There were 3 types of stress measured: number of stressful life events (K. A. Matthews et al., 1997), cancer-related traumatic stress symptoms (M. J. Horowitz, N. Wilner, & W. Alvarez, 1979), and perceived global stress (S. Cohen, T. Kamarck, & R. Mermelstein, 1983). Using hierarchical multiple regressions, the authors found that stress predicted both psychological and physical QoL (J. E. Ware, K. K. Snow, & M. Kosinski, 2000) at the follow-ups (all ps < .03). These findings substantiate the relationship between initial stress and later QoL and underscore the need for timely psychological intervention. PMID:15898865

Testing healthy immigrant effects among late life immigrants in the United States: using multiple indicators.

PubMed

Choi, Sunha H

2012-04-01

This study tested a healthy immigrant effect (HIE) and postimmigration health status changes among late life immigrants. Using three waves of the Second Longitudinal Study of Aging (1994-2000) and the linked mortality file through 2006, this study compared (a) chronic health conditions, (b) longitudinal trajectories of self-rated health, (c) longitudinal trajectories of functional impairments, and (d) mortality between three groups (age 70+): (i) late life immigrants with less than 15 years in the United States (n = 133), (ii) longer term immigrants (n = 672), and (iii) U.S.-born individuals (n = 8,642). Logistic and Poisson regression, hierarchical generalized linear modeling, and survival analyses were conducted. Late life immigrants were less likely to suffer from cancer, had lower numbers of chronic conditions at baseline, and displayed lower hazards of mortality during the 12-year follow-up. However, their self-rated health and functional status were worse than those of their counterparts over time. A HIE was only partially supported among older adults.

The mediating effect of calling on the relationship between medical school students' academic burnout and empathy.

PubMed

Chae, Su Jin; Jeong, So Mi; Chung, Yoon-Sok

2017-09-01

This study is aimed at identifying the relationships between medical school students' academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students' empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. This result demonstrates that calling is a key variable that mediates the relationship between medical students' academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students' empathy skills.

Stressors, Coping Resources, and Depressive Symptoms among Rural American Indian Older Adults.

PubMed

Roh, Soonhee; Brown-Rice, Kathleen A; Lee, Kyoung Hag; Lee, Yeon-Shim; Lawler, Michael J; Martin, James I

2015-01-01

The purpose of this study was to examine the associations of physical health stressors and coping resources with depressive symptoms among American Indian older adults age 50 years or older. The study used a convenience sample of 227 rural American Indian older adults. A hierarchical multiple regression tested three sets of predictors on depressive symptoms: (a) sociodemographics, (b) physical health stressors (functional disability and chronic medical conditions), and (c) coping resources (social support and spirituality). Most participants reported little difficulty in performing daily activities (e.g., eating, dressing, traveling, and managing money), while presenting over two types of chronic medical conditions. Depressive symptoms were predicted by higher scores on perceived social support and lower scores on functional disability; women and those having no health insurance also had higher levels of depressive symptoms. Findings suggest that social work practitioners should engage family and community support, advocate for access to adequate health care, and attend to women's unique circumstances and needs when working with American Indian older adults.

Factors Associated With the Perception of Family Nursing Practice Among Mental Health Nurses in Taiwan.

PubMed

Hsiao, Chiu-Yueh; Tsai, Yun-Fang

2015-11-01

The aim of this study was to examine factors that influenced the perceptions of mental health nurses about involving families in their nursing practice. A sample of 175 Taiwanese mental health nurses who are employed in both inpatient and community settings completed structured questionnaires designed to measure empathy, attitudes about involving families in care, and perceptions of family nursing practice. Data were analyzed using descriptive statistics, Pearson's product-moment correlation, t test, one-way ANOVA, and a hierarchical multiple regression analysis. Positive perceptions of family nursing practice were correlated with more years of clinical experience in mental health, empathy, supportive attitudes toward the importance of family nursing care, and personal experiences with family members with serious illness in need of professional care. These findings may assist in the development of effective educational programs designed to help nurses integrate family nursing knowledge and skills in the care of patients and families experiencing mental illness. © The Author(s) 2015.

Maternal Child Sexual Abuse Is Associated With Lower Maternal Warmth Toward Daughters but Not Sons.

PubMed

Cross, Dorthie; Kim, Ye Ji; Vance, L Alexander; Robinson, Gabriella; Jovanovic, Tanja; Bradley, Bekh

2016-01-01

Mothers with a history of child sexual abuse report less warmth toward their children, but whether this association differs by child gender is unknown. We examined the association of maternal child sexual abuse and warmth across child gender, accounting for depression, post-traumatic stress disorder, and child physical abuse. We verbally administered self-report measures to a cross-sectional sample of 154 mothers with a child between 8 and 12 years old. Eighty-five mothers based warmth responses on a son, and 69 on a daughter. We conducted a hierarchical multiple regression, including child gender, maternal child sexual abuse, child physical abuse, depression, post-traumatic stress disorder, and 4 two-way interaction terms with child gender. Maternal depression predicted decreased warmth, regardless of child gender, and maternal child sexual abuse predicted decreased warmth, but only toward daughters. Given previous research suggesting that maternal warmth predicts child well-being, the current finding may represent an important avenue of intergenerational transmission of risk in girls.

What roles do team climate, roster control, and work life conflict play in shiftworkers' fatigue longitudinally?

PubMed

Pisarski, Anne; Barbour, Jennifer P

2014-05-01

The study aimed to examine shiftworkers fatigue and the longitudinal relationships that impact on fatigue such as team climate, work life conflict, control of shifts and shift type in shift working nurses. We used a quantitative survey methodology and analysed data with a moderated hierarchical multiple regression. After matching across two time periods 18 months apart, the sample consisted of 166 nurses from one Australian hospital. Of these nurses, 61 worked two rotating day shifts (morning & afternoon/evening) and 105 were rotating shiftworkers who worked three shifts (morning afternoon/evening and nights). The findings suggest that control over shift scheduling can have significant effects on fatigue for both two-shift and three-shift workers. A significant negative relationship between positive team climate and fatigue was moderated by shift type. At both Time 1 and Time 2, work life conflict was the strongest predictor of concurrent fatigue, but over time it was not. Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Work satisfaction and posttraumatic growth 1 year after the 2008 Wenchuan earthquake: the perceived stress as a moderating factor.

PubMed

Xu, Jiuping; Wu, Wei

2014-06-01

This study investigated the role of perceived stress as a possible moderating factor between posttraumatic growth (PTG) and work satisfaction. A stratified random sampling strategy was used to survey 2080 adult survivors of the 2008 Sichuan earthquake. The Posttraumatic Growth Inventory, the Job Satisfaction Index Scale and the Perceived Stress Scale were used in the assessment of the posttraumatic growth, work satisfaction and perceived stress respectively, and hierarchical multiple regression analyses were used for the analysis. The findings highlight work satisfaction as an important factor in both the prediction of posttraumatic growth and for its moderating effect on perceived stress. Some demographic characteristics, such as gender, education level, and housing condition were found to also affect the survivors' posttraumatic growth. This conclusion indicates that managers should pay closer attention to their employees' psychological state after a disaster and medical practitioners should consider survivors' work status and perceived stress when dispensing mental health care. Copyright © 2014 Elsevier Inc. All rights reserved.

Development and Validation of the ADAS Scale and Prediction of Attitudes Toward Affective-Sexual Diversity Among Spanish Secondary Students.

PubMed

Garrido-Hernansaiz, Helena; Martín-Fernández, Manuel; Castaño-Torrijos, Aida; Cuevas, Isabel

2018-01-01

Violence against non-heterosexual adolescents in educational contexts remains a worrying reality, but no adequate attitudes toward affective-sexual diversity (AtASD) measure exists for Spanish adolescent students. We developed a 27-item scale including cognitive, affective, and behavioral aspects, which was completed by 696 secondary school students from the Madrid area. Factor analyses suggested a unidimensional model, Cronbach's alpha indicated excellent scale scores reliability, and item calibration under the item response theory framework showed that the scale is especially informative for homophobic attitudes. A hierarchical multiple regression analysis showed that variables traditionally related to AtASD (gender, age, religion, nationality, perceived parental/peer attitudes, direct contact with LGB people) also were so in our sample. Moreover, interest in sexuality topics and perceived center's efforts to provide AtASD education were related to better AtASD. Our scale was reliable and valid, and it may also prove useful in efforts to detect those students with homophobic attitudes and to guide interventions.

Positive Attitudes towards Technologies and facets of Well-being in Older Adults.

PubMed

Zambianchi, Manuela; Carelli, Maria Grazia

2018-03-01

The current study investigates the relevance of positive attitudes toward Internet technologies for psychological well-being and social well-being in old age. A sample of 245 elderly people ( Mean age = 70; SD =9.1) filled in the Psychological Well-Being Questionnaire, the Social Well-Being Questionnaire, and Attitudes Toward Technologies Questionnaire (ATTQ). Favorable attitudes toward Internet technologies showed positive correlations with overall social well-being and all its components with the exception of social acceptance. Positive correlations with overall psychological well-being and two of its components, namely, personal growth and purpose in life, were also found. Two hierarchical multiple regression models underscored that positive attitudes toward Internet technologies constitute the most important predictor of social well-being, and it appears to be a significant predictor for psychological well-being as well. Results are discussed and integrated into the Positive Technology theoretical framework that sustains the value of technological resources for improving the quality of personal experience and well-being.

Sexual Assault Perpetrators’ Justifications for Their Actions: Relationships to Rape Supportive Attitudes, Incident Characteristics, and Future Perpetration

PubMed Central

Wegner, Rhiana; Abbey, Antonia; Pierce, Jennifer; Pegram, Sheri E.; Woerner, Jacqueline

2015-01-01

Perpetrators use rape supportive attitudes and sexual assault incident characteristics to justify forcing sex on their victims. Perpetrators who can justify their behaviors are at increased risk for future perpetration. This study examined the relationships between rape supportive attitudes, sexual assault incident characteristics, and the post-assault justifications of 183 men sampled from the community who self-reported committing at least one act of sexual aggression. Hierarchical multiple regression analyses indicated that rape supportive attitudes, expectations for having sex, misperceptions of sexual intent, victims’ alcohol consumption, attempts to be alone with her, and the number of consensual sexual activities prior to the unwanted sex were significant predictors of perpetrators’ post-assault use of justifications. Greater use of justifications was a significant predictor of sexual aggression over a 1-year follow-up interval. These findings demonstrate the need for further research exploring when and why perpetrators use post-assault justifications and whether they are amenable to change. PMID:26056162

Sexual Assault Perpetrators' Justifications for Their Actions: Relationships to Rape Supportive Attitudes, Incident Characteristics, and Future Perpetration.

PubMed

Wegner, Rhiana; Abbey, Antonia; Pierce, Jennifer; Pegram, Sheri E; Woerner, Jacqueline

2015-08-01

Perpetrators use rape supportive attitudes and sexual assault incident characteristics to justify forcing sex on their victims. Perpetrators who can justify their behaviors are at increased risk for future perpetration. This study examined the relationships between rape supportive attitudes, sexual assault incident characteristics, and the post-assault justifications of 183 men sampled from the community who self-reported committing at least one act of sexual aggression. Hierarchical multiple regression analyses indicated that rape supportive attitudes, expectations for having sex, misperceptions of sexual intent, victims' alcohol consumption, attempts to be alone with her, and the number of consensual sexual activities prior to the unwanted sex were significant predictors of perpetrators' post-assault use of justifications. Greater use of justifications was a significant predictor of sexual aggression over a 1-year follow-up interval. These findings demonstrate the need for further research exploring when and why perpetrators use post-assault justifications and whether they are amenable to change. © The Author(s) 2015.

Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance.

PubMed

Marcotte, Richard; Sayad, Azin; Brown, Kevin R; Sanchez-Garcia, Felix; Reimand, Jüri; Haider, Maliha; Virtanen, Carl; Bradner, James E; Bader, Gary D; Mills, Gordon B; Pe'er, Dana; Moffat, Jason; Neel, Benjamin G

2016-01-14

Large-scale genomic studies have identified multiple somatic aberrations in breast cancer, including copy number alterations and point mutations. Still, identifying causal variants and emergent vulnerabilities that arise as a consequence of genetic alterations remain major challenges. We performed whole-genome small hairpin RNA (shRNA) "dropout screens" on 77 breast cancer cell lines. Using a hierarchical linear regression algorithm to score our screen results and integrate them with accompanying detailed genetic and proteomic information, we identify vulnerabilities in breast cancer, including candidate "drivers," and reveal general functional genomic properties of cancer cells. Comparisons of gene essentiality with drug sensitivity data suggest potential resistance mechanisms, effects of existing anti-cancer drugs, and opportunities for combination therapy. Finally, we demonstrate the utility of this large dataset by identifying BRD4 as a potential target in luminal breast cancer and PIK3CA mutations as a resistance determinant for BET-inhibitors. Copyright © 2016 Elsevier Inc. All rights reserved.

An Exploration of the Associations Among Multiple Aspects of Religiousness, Body Image, Eating Pathology, and Appearance Investment.

PubMed

Goulet, Carol; Henrie, James; Szymanski, Lynda

2017-04-01

The purpose of this study was to investigate the influence of positive and negative aspects of religiousness on eating pathology, body satisfaction, and appearance investment beyond previously established variables (age, BMI, exercise frequency, weight stability, and self-esteem). Data collected from 168 adult females at a Catholic-affiliated university were analyzed using hierarchical linear regressions. As expected, some religiousness variables (spirituality and seeing one's body as having sacred qualities) were associated with eating pathology, body satisfaction, and appearance investment in potentially beneficial ways, and others (negative interaction with one's religious community) were associated in potentially harmful ways. Interestingly, greater religious meaning, or the importance of religion in one's life, was associated with greater eating pathology, and some variables (religious coping, participation in and support from one's religious community) expected to be associated with greater body satisfaction were unrelated. Results are discussed in terms of mechanisms through which the aspects of religiousness may influence body satisfaction, appearance investment, and eating pathology.

The role of peer, parent, and culture in risky sexual behavior for Cambodian and Lao/Mien adolescents.

PubMed

Le, Thao N; Kato, Tomoko

2006-03-01

The purpose of this study was to investigate the role of age, gender, peer, family, and culture in adolescent risky sexual behavior for Cambodian and Laotian (Lao)/Mien youth. We obtained cross-sectional, in-home interview data including measures of individualism, collectivism, acculturation, risky sexual behavior, peer delinquency, parent engagement, and parent discipline from a sample of mostly second-generation Cambodian (n = 112) and Lao/Mien (n = 67) adolescents. Data were analyzed using step-wise, hierarchical multiple regressions. Peer delinquency and age (older) were significant predictors of risky sexual behavior in both groups. Parent discipline also significantly predicted risky sexual behavior, but only for Lao/Mien adolescents. Vertical and horizontal individualism were associated positively with risky sexual behavior for Cambodian youth whereas collectivism (horizontal) was associated negatively with risky sexual behavior for Lao/Mien youth. Acculturation was nonsignificant in both groups. In addition to age, parents, and peer groups, the findings suggest that culture also matters in risky sexual behavior, particularly for Cambodian and Laotian youth.

Young men's endorsement and pursuit of appearance ideals: The prospective role of appearance investment.

PubMed

Kling, Johanna; Rodgers, Rachel F; Frisén, Ann

2016-03-01

Appearance investment has been proposed as a risk factor for the development of body dissatisfaction. Despite this, few studies have explored men's investment in their appearance. The aim of the present study was therefore to examine appearance investment as a prospective predictor of young men's endorsement and pursuit of appearance ideals. A community sample of 187 young men participated in a study at ages 21 and 24. Hierarchical multiple regressions revealed that appearance investment, as hypothesized, was a prospective predictor of increases in leanness orientation, media-ideal internalization, and muscularity behaviors. However, appearance investment did not predict increases in muscularity dissatisfaction. The present findings highlight the importance of including appearance investment in sociocultural models of the development of men's body image, and suggest that appearance investment may be an important target variable to consider when designing body dissatisfaction prevention and intervention programs tailored to young men. Copyright © 2015 Elsevier Ltd. All rights reserved.

Prevention of Incontinence Associated Skin Damage in Nursing Homes: Disparities and Predictors

PubMed Central

Bliss, Donna Z.; Gurvich, Olga V.; Mathiason, Michelle A.; Eberly, Lynn E.; Savik, Kay; Harms, Susan; Mueller, Christine; Wyman, Jean F.; Virnig, Beth

2016-01-01

Racial/ethnic disparities in preventing health problems have been reported in nursing homes. Incontinence is common among nursing home residents and can result in inflammatory-type skin damage, referred to as incontinence associated skin damage (IASD). Little is known about the prevention of IASD and whether there are racial/ethnic disparities in its prevention. This study assessed the proportion of older nursing home residents receiving IASD prevention after developing incontinence after admission (n=10,713) and whether there were racial/ethnic disparities in IASD prevention. Predictors of preventing IASD were also examined. Four national datasets provided potential predictors at multiple levels. Disparities were analyzed using the Peters-Belson method; predictors of preventing IASD were assessed using hierarchical logistic regression. Prevention of IASD was received by 0.12 of residents and no racial/ethnic disparities were found. Predictors of preventing IASD were primarily resident level factors including limitations in activities of daily living, poor nutrition, and more oxygenation problems. PMID:27586441

Does distraction facilitate problem-focused coping with job stress? A 1 year longitudinal study.

PubMed

Shimazu, Akihito; Schaufeli, Wilmar B

2007-10-01

This study examined the sole and combined effects of problem-focused coping and distraction on employee well-being (i.e., stress responses and job performance) using two-wave panel survey data with a 1-year time lag. Participants were 488 male employees, who worked for a construction machinery company in western Japan. Hierarchical multiple regression analyses were conducted to examine whether distraction moderates the relationship of problem-focused coping with well-being. More use of problem-focused coping was negatively related to subsequent stress responses among those high in distraction. The combination of high problem-focused coping and high distraction was positively related to subsequent job performance, although it was limited only to the high job stress situation. Results suggest that the combination of high problem-focused coping and high distraction may lead to lower stress responses and better performance (but only in high job stress situations for performance) than the combination of high problem-focused coping and low distraction, at least for male blue-collar workers.

The uses and gratifications of online care pages: a study of CaringBridge.

PubMed

Anderson, Isolde K

2011-09-01

This study investigated how online care pages help people connect with others and gain social support during a health care event. It reports the results of a survey of 1035 CaringBridge authors who set up personalized web pages because of hospitalization, serious illness, or other reasons, regarding the uses and gratifications obtained from their sites. Four primary benefits were found to be important to all authors of CaringBridge sites: providing information, receiving encouragement from messages, convenience, and psychological support. Hierarchical multiple regression revealed significant effects for six demographic and health-related variables: gender, age, religiosity, Internet usage, the purpose for which the site was set up, and sufficiency of information received from health care providers. Support was obtained for the perspective that online care pages provide new media gratifications for authors, and that health-related antecedents of media use may affect media selection and gratifications. The implications of this study for communication researchers and support services like CaringBridge are also discussed.

Maternal Child Sexual Abuse Is Associated With Lower Maternal Warmth Toward Daughters but Not Sons

PubMed Central

Cross, Dorthie; Kim, Ye Ji; Vance, L. Alexander; Robinson, Gabriella; Jovanovic, Tanja; Bradley, Bekh

2017-01-01

Mothers with a history of child sexual abuse report less warmth toward their children, but whether this association differs by child gender is unknown. We examined the association of maternal child sexual abuse and warmth across child gender, accounting for depression, post-traumatic stress disorder, and child physical abuse. We verbally administered self-report measures to a cross-sectional sample of 154 mothers with a child between 8 and 12 years old. Eighty-five mothers based warmth responses on a son, and 69 on a daughter. We conducted a hierarchical multiple regression, including child gender, maternal child sexual abuse, child physical abuse, depression, post-traumatic stress disorder, and 4 two-way interaction terms with child gender. Maternal depression predicted decreased warmth, regardless of child gender, and maternal child sexual abuse predicted decreased warmth, but only toward daughters. Given previous research suggesting that maternal warmth predicts child well-being, the current finding may represent an important avenue of intergenerational transmission of risk in girls. PMID:27874726

The role of willingness to sacrifice on the relationship between urban Chinese wives' relative income and marital quality.

PubMed

Zhang, Huiping; Li, Tuqiang

2015-01-01

The economic contributions of urban women are salient in contemporary China; however, the effect of wives' relative income to family income on marital quality remains unknown in the Chinese context. On the basis of a survey of 763 urban Chinese women, this study aimed to examine the role of willingness to sacrifice in the relation between wives' relative income and marital quality. The results through hierarchical multiple regression analyses indicated that higher-earning wives reported lower marital happiness and higher marital instability compared with lower- and equal-earning wives, although these associations were only significant to a small extent. Wives' willingness to sacrifice was positively associated with marital happiness and negatively associated with marital instability. In addition, their willingness to sacrifice could buffer the negative effect of relative income on marital happiness as well as the positive effect on marital instability, especially when the wives earn more than their husbands do. The implications of these findings are discussed.

Moral emotions associated with prosocial and antisocial behavior in school-aged children.

PubMed

Ortiz Barón, María J; Etxebarria Bilbao, Itziar; Apodaca Urquijo, Pedro; Conejero López, Susana; Pascual Jimeno, Aitziber

2018-02-01

The present study aims to explore the main effects and interactive effects of empathy, guilt, shame, pride (authentic and hubristic), and moral pride, on prosocial and antisocial behavior in children. The sample group comprised 351 children aged between 10 and 14 selected from four schools in the Basque Country (Spain). Hierarchical multiple regression models were used in the statistical analyses. Prosocial behavior was found to be predicted by the additive interaction between empathy and moral pride, by guilt and, to a lesser extent and negatively, by shame. In relation to antisocial behavior, children with a strong disposition to guilt scored lower for antisocial behavior, regardless of their empathy levels. Nevertheless, the combination of low empathy and low guilt levels was associated with highest antisocial behavior scores. As regards shame, this emotion was moderately associated with antisocial behavior. By exploring interactions the present study provided a more nuanced view of the emotional factors associated with children´s prosocial and antisocial behavior.

An empirical analysis of Moscovitch's reconceptualised model of social anxiety: How is it different from fear of negative evaluation?

PubMed

Kizilcik, Isilay N; Gregory, Bree; Baillie, Andrew J; Crome, Erica

2016-01-01

Cognitive-behavioural models propose that excessive fear of negative evaluation is central to social anxiety. Moscovitch (2009) instead proposes that perceived deficiencies in three self attributes: fears of showing signs of anxiety, deficits in physical appearance, or deficits in social competence are at the core of social anxiety. However, these attributes are likely to overlap with fear of negative evaluation. Responses to an online survey of 286 participants with a range of social anxiety severity were analysed using hierarchical multiple regression to identify the overall unique predictive value of Moscovitch's model. Altogether, Moscovitch's model provided improvements in the prediction of safety behaviours, types of fears and cognitions; however only the fear of showing anxiety subscale provided unique information. This research supports further investigations into the utility of this revised model, particularly related to utility of explicitly assessing and addressing fears of showing anxiety. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Comprehensive Examination of the Determinants for Food Risk Perception: Focusing on Psychometric Factors, Perceivers' Characteristics, and Media Use.

PubMed

You, Myoungsoon; Ju, Youngkee

2017-01-01

Risk characteristics within a psychometric paradigm have been of major concern in studies of food risk perception. This study compared the influence of psychometric factors, perceivers' characteristics (i.e., risk attitude, trust, and favorability of the country of origin), and that of the news media on the levels of food risk perception. The interaction of news media with the other two factors was also examined. A nationwide survey (n = 1,500) was conducted. The foods under investigation were Chinese processed foods and Japanese seafood imported to South Korea. In both cases, hierarchical multiple regression analyses revealed that psychometric factors had the greatest influence on food risk perception, followed by perceivers' characteristics and media use. In addition, our results showed that the effect of perceived benefit and dread in Chinese food were salient only for those with little media use. The implication of the interaction effect on food risk perception is discussed in terms of accessibility and limited capacity of information processing.

Exercise-related goals and self-efficacy as correlates of aquatic exercise in individuals with arthritis.

PubMed

Gyurcsik, Nancy C; Estabrooks, Paul A; Frahm-Templar, Melissa J

2003-06-15

To examine whether aquatic exercise-related goals, task self-efficacy, and scheduling self-efficacy are predictive of aquatic exercise attendance in individuals with arthritis. A secondary objective was to determine whether high attendees differed from low attendees on goals and self-efficacy. The sample comprised 216 adults with arthritis (mean age 69.21 years). Measures included exercise-related goal difficulty and specificity, task and scheduling self-efficacy, and 8-week aquatic exercise attendance. Results of a multiple hierarchical regression analysis were significant (P < 0.01). Goal difficulty, specificity, and task self-efficacy were independent predictors of attendance (P < 0.05). A significant multivariate analysis of variance (P < 0.01) indicated that high attendees had higher task and scheduling self-efficacy and lower goal difficulty than did low attendees (P < 0.05). Support for the importance of exercise-related goal setting and self-efficacy was demonstrated. Implications pertain to the design of interventions to impact aquatic exercise.

Exercise identity and attribution properties predict negative self-conscious emotions for exercise relapse.

PubMed

Flora, Parminder K; Strachan, Shaelyn M; Brawley, Lawrence R; Spink, Kevin S

2012-10-01

Research on exercise identity (EXID) indicates that it is related to negative affect when exercisers are inconsistent or relapse. Although identity theory suggests that causal attributions about this inconsistency elicit negative self-conscious emotions of shame and guilt, no EXID studies have examined this for exercise relapse. Weiner's attribution-based theory of interpersonal motivation (2010) offers a means of testing the attribution-emotion link. Using both frameworks, we examined whether EXID and attributional properties predicted negative emotions for exercise relapse. Participants (n = 224) read an exercise relapse vignette, and then completed EXID, attributions, and emotion measures. Hierarchical multiple regression models using EXID and the attributional property of controllability significantly predicted each of shame and guilt, R² adjusted = .09, ps ≤ .001. Results support identity theory suggestions and Weiner's specific attribution-emotion hypothesis. This first demonstration of an interlinking of EXID, controllability, and negative self-conscious emotions offers more predictive utility using complementary theories than either theory alone.

Job demands, job resources, and job performance in japanese workers: a cross-sectional study.

PubMed

Nakagawa, Yuko; Inoue, Akiomi; Kawakami, Norito; Tsuno, Kanami; Tomioka, Kimiko; Nakanishi, Mayuko; Mafune, Kosuke; Hiro, Hisanori

2014-01-01

This study investigated the cross-sectional association of job demands (i.e., psychological demands) and job resources (i.e., decision latitude, supervisor support, co-worker support, and extrinsic reward) with job performance. A total of 1,198 workers (458 males and 740 females) from a manufacturing company in Japan completed a self-administered questionnaire that included the Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, World Health Organization Health and Work Performance Questionnaire, and demographic survey. Hierarchical multiple regression analyses were conducted. After adjusting for demographic characteristics, decision latitude (β=0.107, p=0.001) and extrinsic reward (β=0.158, p<0.001) were positively and significantly associated with job performance while supervisor support (β=-0.102, p=0.002) was negatively and significantly associated with job performance. On the other hand, psychological demands or co-worker support was not significantly associated with job performance. These findings suggest that higher decision latitude and extrinsic reward enhance job performance among Japanese employees.

Job Demands, Job Resources, and Job Performance in Japanese Workers: A Cross-sectional Study

PubMed Central

NAKAGAWA, Yuko; INOUE, Akiomi; KAWAKAMI, Norito; TSUNO, Kanami; TOMIOKA, Kimiko; NAKANISHI, Mayuko; MAFUNE, Kosuke; HIRO, Hisanori

2014-01-01

This study investigated the cross-sectional association of job demands (i.e., psychological demands) and job resources (i.e., decision latitude, supervisor support, co-worker support, and extrinsic reward) with job performance. A total of 1,198 workers (458 males and 740 females) from a manufacturing company in Japan completed a self-administered questionnaire that included the Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, World Health Organization Health and Work Performance Questionnaire, and demographic survey. Hierarchical multiple regression analyses were conducted. After adjusting for demographic characteristics, decision latitude (β=0.107, p=0.001) and extrinsic reward (β=0.158, p<0.001) were positively and significantly associated with job performance while supervisor support (β=−0.102, p=0.002) was negatively and significantly associated with job performance. On the other hand, psychological demands or co-worker support was not significantly associated with job performance. These findings suggest that higher decision latitude and extrinsic reward enhance job performance among Japanese employees. PMID:25016948

Relationship between maternal mindfulness and anxiety 1 month after childbirth.

PubMed

Yamamoto, Natsuki; Naruse, Takashi; Sakai, Mahiro; Nagata, Satoko

2017-10-01

To investigate the relationship between maternal mindfulness and maternal anxiety 1 month after childbirth. A cross-sectional design was used, featuring anonymous questionnaires that were completed between July and December 2014 at two Japanese hospitals. The participants (n = 151) completed the Mindful Attention Awareness Scale (Japanese version) and the State-Trait Anxiety Inventory Form X (Japanese version). The data analysis was carried out by using a hierarchical multiple regression. The state and trait anxiety scores showed significant relationships with mindfulness, the mother's age, and the perceived difference between the expectations of motherhood before childbirth and the reality of post-partum daily life. Furthermore, the amount of average sleep time in the past week (including naps) showed a negative association with the state anxiety score, whereas the marital relationship showed a positive association with trait anxiety. Finally, at 1 month post-partum, the mothers with greater mindfulness scores showed lower anxiety. Improvements in mindfulness could help mothers to reduce their post-partum anxiety. © 2016 Japan Academy of Nursing Science.

Adolescent romance and depressive symptoms: the moderating effects of positive coping and perceived friendship competence.

PubMed

Szwedo, David E; Chango, Joanna M; Allen, Joseph P

2015-01-01

Youths' ability to positively cope with negative emotions and their self-perceived friendship competence were examined as potential moderators of links between multiple aspects of romantic relationships and residualized increases in depressive symptoms from late adolescence into early adulthood. Participants included 184 teens (46% male; 42% non-White) assessed at ages 15 to 19 and 21, as well as a subsample of 62 romantic partners of participants assessed when teens were 18. Results of hierarchical linear regressions showed that positive coping served as a buffer against depressive symptoms for romantically involved adolescents and also for teens receiving more intense emotional support from their romantic partners, but not for youth whose relationship had ended and had not been replaced by a new relationship. Higher perceived friendship competence served as a buffer against depressive symptoms for youth enduring the dissolution and nonreplacement of their romantic relationship. Greater use of positive coping skills and higher perceived friendship competence may help protect adolescents from depressive symptoms in different types of romantic experiences.

Association of Discrimination and Stress With Cardiometabolic Risk Factors in Ethnic Minority Women.

PubMed

Shin, Cha-Nam; Soltero, Erica; Mama, Scherezade K; Sunseri, Christopher; Lee, Rebecca E

2017-12-01

Psychological stressors can contribute to adverse health outcomes and lead to health disparities. To examine associations among psychological stressors, coping, blood pressure, body mass index, and body fat in ethnic minority women, we conducted a secondary analysis using data from 178 African American and Hispanic/Latina women who completed measures of perceived racial discrimination and stress, coping, blood pressure, and body composition. The mean age of participants was 45.3 (±9.3 years), and most were obese (74.2%) and had prehypertensive systolic blood pressure (125.7 ± 14.6 mmHg). Hierarchical multiple regression models indicated a significant negative relationship between racial discrimination and percent body fat, and positive associations between stress and blood pressure. Coping did not moderate the association between racial discrimination and blood pressure or body composition. Health care providers should consider psychological stressors as underlying causes for hypertension and address tailored stress-reduction coping strategies when treating African American and Hispanic/Latina women with hypertension.

Moral judgment and its relation to second-order theory of mind.

PubMed

Fu, Genyue; Xiao, Wen S; Killen, Melanie; Lee, Kang

2014-08-01

Recent research indicates that moral judgment and 1st-order theory of mind abilities are related. What is not known, however, is how 2nd-order theory of mind is related to moral judgment. In the present study, we extended previous findings by administering a morally relevant theory of mind task (an accidental transgressor) to 4- to 7-year-old Chinese children (N = 79) and analyzing connections with 2nd-order theory of mind understanding. Using hierarchical multiple regression analyses, we found that above and beyond age, children's 1st-order theory of mind and 2nd-order theory of mind each significantly and uniquely contributed to children's moral evaluations of the intention in the accidental transgression. These findings highlight the important roles that 1st- and 2nd-order theory of mind play in leading children to make appropriate moral judgments based on an actor's intention in a social situation. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Use Hierarchical Storage and Analysis to Exploit Intrinsic Parallelism

NASA Astrophysics Data System (ADS)

Zender, C. S.; Wang, W.; Vicente, P.

2013-12-01

Big Data is an ugly name for the scientific opportunities and challenges created by the growing wealth of geoscience data. How to weave large, disparate datasets together to best reveal their underlying properties, to exploit their strengths and minimize their weaknesses, to continually aggregate more information than the world knew yesterday and less than we will learn tomorrow? Data analytics techniques (statistics, data mining, machine learning, etc.) can accelerate pattern recognition and discovery. However, often researchers must, prior to analysis, organize multiple related datasets into a coherent framework. Hierarchical organization permits entire dataset to be stored in nested groups that reflect their intrinsic relationships and similarities. Hierarchical data can be simpler and faster to analyze by coding operators to automatically parallelize processes over isomorphic storage units, i.e., groups. The newest generation of netCDF Operators (NCO) embody this hierarchical approach, while still supporting traditional analysis approaches. We will use NCO to demonstrate the trade-offs involved in processing a prototypical Big Data application (analysis of CMIP5 datasets) using hierarchical and traditional analysis approaches.

A new fast direct solver for the boundary element method

NASA Astrophysics Data System (ADS)

Huang, S.; Liu, Y. J.

2017-09-01

A new fast direct linear equation solver for the boundary element method (BEM) is presented in this paper. The idea of the new fast direct solver stems from the concept of the hierarchical off-diagonal low-rank matrix. The hierarchical off-diagonal low-rank matrix can be decomposed into the multiplication of several diagonal block matrices. The inverse of the hierarchical off-diagonal low-rank matrix can be calculated efficiently with the Sherman-Morrison-Woodbury formula. In this paper, a more general and efficient approach to approximate the coefficient matrix of the BEM with the hierarchical off-diagonal low-rank matrix is proposed. Compared to the current fast direct solver based on the hierarchical off-diagonal low-rank matrix, the proposed method is suitable for solving general 3-D boundary element models. Several numerical examples of 3-D potential problems with the total number of unknowns up to above 200,000 are presented. The results show that the new fast direct solver can be applied to solve large 3-D BEM models accurately and with better efficiency compared with the conventional BEM.

Social Class as Moderator of the Relationship between (Dis)Empowering Processes and Psychological Empowerment

ERIC Educational Resources Information Center

Christens, Brian D.; Speer, Paul W.; Peterson, N. Andrew

2011-01-01

This study examined whether social class moderated the relationship between empowering and disempowering processes and psychological empowerment (PE) in a sample of individuals from five community organizing initiatives (N=490). Hierarchical regression analyses were used to test the relationship between community participation (CP) and alienation…

Vocational Rehabilitation Service Patterns and Outcomes for Individuals with Autism of Different Ages

ERIC Educational Resources Information Center

Chen, June L.; Sung, Connie; Pi, Sukyeong

2015-01-01

Young adults with autism spectrum disorders (ASD) often experience employment difficulties. Using Rehabilitation Service Administration data (RSA-911), this study investigated the service patterns and factors related to the employment outcomes of individuals with ASD in different age groups. Hierarchical logistic regression analyses were conducted…

Pessimism, Trauma, Risky Sex: Covariates of Depression in College Students

ERIC Educational Resources Information Center

Swanholm, Eric; Vosvick, Mark; Chng, Chwee-Lye

2009-01-01

Objective: To explain variance in depression in students (N = 648) using a model incorporating sexual trauma, pessimism, and risky sex. Method: Survey data collected from undergraduate students receiving credit for participation. Results: Controlling for demographics, a hierarchical linear regression analysis [Adjusted R[superscript 2] = 0.34,…

Awareness of Derivation and Compounding in Chinese-English Biliteracy Acquisition

ERIC Educational Resources Information Center

Zhang, Dongbo; Koda, Keiko

2014-01-01

This study examines the intra-and inter-lingual relationships between first and second language morphological awareness and reading comprehension among grade 6 Chinese learners of English as a foreign language in China. Morphological awareness measures covered compounding as well as derivation. Hierarchical regression analyses revealed that within…

Behavioral, Personality, and Communicative Predictors of Acceptance and Popularity in Early Adolescence

ERIC Educational Resources Information Center

Wolters, Nina; Knoors, Harry; Cillessen, Antonius H. N.; Verhoeven, Ludo

2014-01-01

This study examined the behavioral, personality, and communicative predictors of acceptance and popularity in 608 early adolescents. Data were collected with sociometric methods and ratings in 30 sixth-grade classrooms. Hierarchical regressions were run to predict acceptance and popularity from prosocial, antisocial, and withdrawn behavior,…

The Relationship between Bullying and Social Skills in Primary School Students

ERIC Educational Resources Information Center

Larke, Ian D.; Beran, Tanya N.

2006-01-01

In this study we examined the relationship between children's social skills and bullying behaviours. Teachers rated social skills and indirect and direct physical bullying behaviours of 120 students in elementary school. Hierarchical regression analyses indicated that social skills are inversely related to both direct physical bullying (beta =…

Personality and Physical Correlates of Bulimic Symptomatology among Mexican American Female College Students.

ERIC Educational Resources Information Center

Lester, Regan; Petrie, Trent A.

1995-01-01

Examined the relationship of personality and physical variables to bulimic symptoms. Hierarchical regression analysis of a sample of Mexican American female students revealed that body mass and endorsement of United States societal values concerning attractiveness were related positively to bulimic symptomatology; age, body satisfaction, and…

Predicting South Korean University Students' Happiness through Social Support and Efficacy Beliefs

ERIC Educational Resources Information Center

Lee, Diane Sookyoung; Padilla, Amado M.

2016-01-01

This study investigated the adversity and coping experiences of 198 South Korean university students and takes a cultural lens in understanding how social and individual factors shape their happiness. Hierarchical linear regression analyses suggest that Korean students' perceptions of social support significantly predicted their happiness,…

The Effects of Academic Optimism on Elementary Reading Achievement

ERIC Educational Resources Information Center

Bevel, Raymona K.; Mitchell, Roxanne M.

2012-01-01

Purpose: The purpose of this paper is to explore the relationship between academic optimism (AO) and elementary reading achievement (RA). Design/methodology/approach: Using correlation and hierarchical linear regression, the authors examined school-level effects of AO on fifth grade reading achievement in 29 elementary schools in Alabama.…

Developmental Screening Referrals: Child and Family Factors that Predict Referral Completion

ERIC Educational Resources Information Center

Jennings, Danielle J.; Hanline, Mary Frances

2013-01-01

This study researched the predictive impact of developmental screening results and the effects of child and family characteristics on completion of referrals given for evaluation. Logistical and hierarchical logistic regression analyses were used to determine the significance of 10 independent variables on the predictor variable. The number of…

Self-Efficacy for Resolving Environmental Uncertainties: Implications for Entrepreneurial Educational and Support Programs

ERIC Educational Resources Information Center

Pushkarskaya, Helen; Usher, Ellen L.

2010-01-01

Using a unique sample of rural Kentucky residents, we demonstrated that, in the domain of operational and competitive environmental uncertainties, self-efficacy beliefs are significantly higher among nascent entrepreneurs than among non-entrepreneurs. We employed the hierarchical logistic regression analysis to demonstrate that this result is…

Centering Effects in HLM Level-1 Predictor Variables.

ERIC Educational Resources Information Center

Schumacker, Randall E.; Bembry, Karen

Research has suggested that important research questions can be addressed with meaningful interpretations using hierarchical linear modeling (HLM). The proper interpretation of results, however, is invariably linked to the choice of centering for the Level-1 predictor variables that produce the outcome measure for the Level-2 regression analysis.…

Substance Use, Anxiety, and Depressive Symptoms among College Students

ERIC Educational Resources Information Center

Walters, Kenneth S.; Bulmer, Sandra Minor; Troiano, Peter F.; Obiaka, Uzoma; Bonhomme, Rebecca

2018-01-01

Research on college substance use and mental illness is limited and inconsistent. Measures of substance use, and anxiety and depressive symptoms, were completed by 1,316 undergraduates within a major drug transportation corridor. Hierarchical linear regressions were used to test associations between anxious and depressive symptoms and substance…

A Developmental Sequence Model to University Adjustment of International Undergraduate Students

ERIC Educational Resources Information Center

Chavoshi, Saeid; Wintre, Maxine Gallander; Dentakos, Stella; Wright, Lorna

2017-01-01

The current study proposes a Developmental Sequence Model to University Adjustment and uses a multifaceted measure, including academic, social and psychological adjustment, to examine factors predictive of undergraduate international student adjustment. A hierarchic regression model is carried out on the Student Adaptation to College Questionnaire…

Psychosocial Factors Predicting First-Year College Student Success

ERIC Educational Resources Information Center

Krumrei-Mancuso, Elizabeth J.; Newton, Fred B.; Kim, Eunhee; Wilcox, Dan

2013-01-01

This study made use of a model of college success that involves students achieving academic goals and life satisfaction. Hierarchical regressions examined the role of six psychosocial factors for college success among 579 first-year college students. Academic self-efficacy and organization and attention to study were predictive of first semester…

Exploring the Relationships among Multicultural Training Experiences and Attitudes toward Diversity among Counseling Students

ERIC Educational Resources Information Center

Dickson, Ginger L.; Jepsen, David A.; Barbee, Phillip W.

2008-01-01

The authors surveyed a national sample of master's-level counseling students regarding their multicultural training experiences and their attitudes toward racial diversity and gender equity. Hierarchical regression models showed that student perceptions of program cultural ambience predicted positive cognitive attitudes toward racial diversity.…

Alcohol Use and Drinking Motives among Sanctioned and Nonsanctioned Students

ERIC Educational Resources Information Center

Doumas, Diana M.

2017-01-01

This study examined differences in the relationship of drinking motives to drinking behavior among sanctioned and nonsanctioned 1st-year students (N = 298). Results of hierarchical regression analyses indicated that for both sanctioned and nonsanctioned students, alcohol use was predicted by social and enhancement motives, and alcohol-related…

Nonresident Fathers' Parenting Style and the Adjustment of Late-Adolescent Boys

ERIC Educational Resources Information Center

Karre, Jennifer K.; Mounts, Nina S.

2012-01-01

This study investigates the relation between nonresident fathers' parenting style, mothers' parenting style and behaviors, and depression and antisocial behavior in a sample of late-adolescent boys (n = 177). Hierarchical regression analyses were performed. Maternal psychological well-being was associated with fewer adolescent depression symptoms.…

Drunkorexia: Understanding the Co-Occurrence of Alcohol Consumption and Eating/Exercise Weight Management Behaviors

ERIC Educational Resources Information Center

Barry, Adam E.; Piazza-Gardner, Anna K.

2012-01-01

Objective: Examine the co-occurrence of alcohol consumption, physical activity, and disordered eating behaviors via a drunkorexia perspective. Participants: Nationally representative sample (n = 22,488) of college students completing the Fall 2008 National College Health Assessment. Methods: Hierarchical logistic regression was employed to…

First-Year College Students' Strengths Awareness and Perceived Leadership Development

ERIC Educational Resources Information Center

Soria, Krista M.; Roberts, Julia E.; Reinhard, Alex P.

2015-01-01

The purpose of this study was to examine whether first-year college students' strengths awareness is associated with their perceived leadership development. The institution in this study offered all first-year students the Clifton StrengthsFinder assessment and strengths-related programming. The results of hierarchical regression analysis of two…

Correlates and Risk Markers for Sleep Disturbance in Participants of the Autism Treatment Network

ERIC Educational Resources Information Center

Hollway, Jill A.; Aman, Michael G.; Butter, Eric

2013-01-01

We explored possible cognitive, behavioral, emotional, and physiological risk markers for sleep disturbance in children with autism spectrum disorders. Data from 1,583 children in the Autism Treatment Network were analyzed. Approximately 45 potential predictors were analyzed using hierarchical regression modeling. As medication could confound…

The More You Can Get the Better: Mentoring Constellations and Intrinsic Career Success

ERIC Educational Resources Information Center

van Emmerik, I. J. Jetty

2004-01-01

This study focused on the relationship between mentoring constellations and intrinsic career success. Hierarchical regression analyses on the data of 416 female and 594 male university members showed that mentoring was positively associated with intrinsic career success i.e., career satisfaction and intrinsic job satisfaction. Several…

Self in Self-Worth Protection: The Relationship of Possible Selves and Self-Protective Strategies

ERIC Educational Resources Information Center

Seli, Helena; Dembo, Myron H.; Crocker, Stephen

2009-01-01

This study examined community college students' future-related self-concept, termed "possible selves," in relationship to their current academic behavior with a focus on self-worth protective strategies. As demonstrated via hierarchical regression, possible selves added to understanding the students' self-protective behavior above and…