Predictors of Perceived Importance and Acceptance of Digital Delivery Modes in Higher Education

ERIC Educational Resources Information Center

Mertens, Anne; Stöter, Joachim; Zawacki-Richter, Olaf

2014-01-01

Teaching and assessment in higher education institutions are increasingly supported by digital tools and services. Students, however, perceive and value the importance of such e-learning offerings in very diverse ways. The goal of this article is to examine which predictors significantly influence students' perceptions of the value of digital…

A systematic review of studies identifying predictors of poor return to work outcomes following workplace injury.

PubMed

Street, Tamara D; Lacey, Sarah J

2015-06-05

Injuries occurring in the workplace can have serious implications for the health of the individual, the productivity of the employer and the overall economic community. The objective of this paper is to increase the current state of understanding of individual demographic and psychosocial characteristics associated with extended absenteeism from the workforce due to a workplace injury. Studies included in this systematic literature review tracked participants' return to work status over a minimum of three months, identified either demographic, psychosocial or general injury predictors of poor return to work outcomes and included a heterogeneous sample of workplace injuries. Identified predictors of poor return to work outcomes included older age, female gender, divorced marital status, two or more dependent family members, lower education levels, employment variables associated with reduced labour market desirability, severity or sensitive injury locations, negative attitudes and outcome perceptions of the participant. There is a need for clear and consistent definition and measurement of return to work outcomes and a holistic theoretical model integrating injury, psychosocial and demographic predictors of return to work. Through greater understanding of the nature of factors affecting return to work, improved outcomes could be achieved.

Identifying specific beliefs to target to improve restaurant employees' intentions for performing three important food safety behaviors.

PubMed

Pilling, Valerie K; Brannon, Laura A; Shanklin, Carol W; Howells, Amber D; Roberts, Kevin R

2008-06-01

Current national food safety training programs appear ineffective at improving food safety practices in foodservice operations, given the substantial number of Americans affected by foodborne illnesses after eating in restaurants each year. The Theory of Planned Behavior (TpB) was used to identify important beliefs that may be targeted to improve foodservice employees' intentions for three food safety behaviors that have the most substantial affect on public health: hand washing, using thermometers, and proper handling of food contact surfaces. In a cross-sectional design, foodservice employees (n=190) across three midwestern states completed a survey assessing TpB components and knowledge for the three food safety behaviors. Multiple regression analyses were performed on the TpB components for each behavior. Independent-samples t tests identified TpB beliefs that discriminated between participants who absolutely intend to perform the behaviors and those with lower intention. Employees' attitudes were the one consistent predictor of intentions for performing all three behaviors. However, a unique combination of important predictors existed for each separate behavior. Interventions for improving employees' behavioral intentions for food safety should focus on TpB components that predict intentions for each behavior and should bring all employees' beliefs in line with those of the employees who already intend to perform the food safety behaviors. Registered dietitians; dietetic technicians, registered; and foodservice managers can use these results to enhance training sessions and motivational programs to improve employees' food safety behaviors. Results also assist these professionals in recognizing their responsibility for enforcing and providing adequate resources for proper food safety behaviors.

Using the Theory of Planned Behavior to Identify Predictors of Oral Hygiene: A Collection of Unique Behaviors.

PubMed

Brein, Daniel J; Fleenor, Thomas J; Kim, Soo-Woo; Krupat, Edward

2016-03-01

This study aims to identify predictors of performed oral hygiene behaviors (OHBs) based on the Theory of Planned Behavior (TPB), oral health knowledge, and demographic factors. Using a questionnaire, 381 participants in three general dental offices and one hospital dental department in York, Pennsylvania, were surveyed regarding performed OHB, attitudes, subjective norms, perceived behavioral control, oral health knowledge, income, age, and sex. Three unique elements of OHB were identified for analysis: brushing, interdental cleaning, and tongue cleaning. Regression analysis revealed that attitude was the strongest predictor of brushing behavior, followed by oral health knowledge, perceived behavior control, subjective norms, and income. Perceived behavior control was the strongest predictor of interdental cleaning, followed by increased age and attitude. Female sex was the strongest predictor of tongue cleaning, followed by subjective norms, decreased age, and perceived behavior control. Respectively, these three groups of predictive variables explained 22.5% of brushing behavior, 22.7% of interdental cleaning behavior, and 9.5% of tongue cleaning behavior. The present findings highlight the utility of viewing OHB as a set of unique behaviors with unique predictive variables and provide additional support for use of TPB in predicting OHB. Periodontal practitioners should consider the strong associations of attitude and perceived behavioral control with brushing and interdental cleaning behaviors when designing interventional efforts to improve patient home care.

Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior.

PubMed

Treweek, Shaun; Bonetti, Debbie; Maclennan, Graeme; Barnett, Karen; Eccles, Martin P; Jones, Claire; Pitts, Nigel B; Ricketts, Ian W; Sullivan, Frank; Weal, Mark; Francis, Jill J

2014-03-01

To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME. Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention. Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed. A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial. Copyright © 2014 Elsevier Inc. All rights reserved.

Anxiety after completion of treatment for early-stage breast cancer: a systematic review to identify candidate predictors and evaluate multivariable model development.

PubMed

Harris, Jenny; Cornelius, Victoria; Ream, Emma; Cheevers, Katy; Armes, Jo

2017-07-01

The purpose of this review was to identify potential candidate predictors of anxiety in women with early-stage breast cancer (BC) after adjuvant treatments and evaluate methodological development of existing multivariable models to inform the future development of a predictive risk stratification model (PRSM). Databases (MEDLINE, Web of Science, CINAHL, CENTRAL and PsycINFO) were searched from inception to November 2015. Eligible studies were prospective, recruited women with stage 0-3 BC, used a validated anxiety outcome ≥3 months post-treatment completion and used multivariable prediction models. Internationally accepted quality standards were used to assess predictive risk of bias and strength of evidence. Seven studies were identified: five were observational cohorts and two secondary analyses of RCTs. Variability of measurement and selective reporting precluded meta-analysis. Twenty-one candidate predictors were identified in total. Younger age and previous mental health problems were identified as risk factors in ≥3 studies. Clinical variables (e.g. treatment, tumour grade) were not identified as predictors in any studies. No studies adhered to all quality standards. Pre-existing vulnerability to mental health problems and younger age increased the risk of anxiety after completion of treatment for BC survivors, but there was no evidence that chemotherapy was a predictor. Multiple predictors were identified but many lacked reproducibility or were not measured across studies, and inadequate reporting did not allow full evaluation of the multivariable models. The use of quality standards in the development of PRSM within supportive cancer care would improve model quality and performance, thereby allowing professionals to better target support for patients.

Identifying predictors of time-inhomogeneous viral evolutionary processes.

PubMed

Bielejec, Filip; Baele, Guy; Rodrigo, Allen G; Suchard, Marc A; Lemey, Philippe

2016-07-01

Various factors determine the rate at which mutations are generated and fixed in viral genomes. Viral evolutionary rates may vary over the course of a single persistent infection and can reflect changes in replication rates and selective dynamics. Dedicated statistical inference approaches are required to understand how the complex interplay of these processes shapes the genetic diversity and divergence in viral populations. Although evolutionary models accommodating a high degree of complexity can now be formalized, adequately informing these models by potentially sparse data, and assessing the association of the resulting estimates with external predictors, remains a major challenge. In this article, we present a novel Bayesian evolutionary inference method, which integrates multiple potential predictors and tests their association with variation in the absolute rates of synonymous and non-synonymous substitutions along the evolutionary history. We consider clinical and virological measures as predictors, but also changes in population size trajectories that are simultaneously inferred using coalescent modelling. We demonstrate the potential of our method in an application to within-host HIV-1 sequence data sampled throughout the infection of multiple patients. While analyses of individual patient populations lack statistical power, we detect significant evidence for an abrupt drop in non-synonymous rates in late stage infection and a more gradual increase in synonymous rates over the course of infection in a joint analysis across all patients. The former is predicted by the immune relaxation hypothesis while the latter may be in line with increasing replicative fitness during the asymptomatic stage.

Identifying Predictors of Social Functioning in College Students: A Meta-Analysis

ERIC Educational Resources Information Center

Beard, Jennifer Blair

2011-01-01

This meta-analysis draws studies from the literature on college student persistence, need theories, and positive psychology in investigating the strongest predictors of social functioning in college students in the United States and Canada. The predictor categories included background characteristics, measures of personality, mental health…

Removing the College Involvement "Research Asterisk": Identifying and Rethinking Predictors of American Indian College Student Involvement

ERIC Educational Resources Information Center

Garland, John L.

2010-01-01

The purpose of this study was to identify campus environmental predictors of American Indian college student involvement. The American Indian research asterisk, or not including American Indian data, has prevailed over student development research for decades. As a result, student affairs professionals have been limited in their ability to develop…

Gross motor function is an important predictor of daily physical activity in young people with bilateral spastic cerebral palsy.

PubMed

Bania, Theofani A; Taylor, Nicholas F; Baker, Richard J; Graham, H Kerr; Karimi, Leila; Dodd, Karen J

2014-12-01

The aim of the study was to describe daily physical activity levels of adolescents and young adults with bilateral spastic cerebral palsy (CP) and to identify factors that help predict these levels. Daily physical activity was measured using an accelerometer-based activity monitor in 45 young people with bilateral spastic CP (23 males, 22 females; mean age 18y 6mo [SD 2y 5mo] range 16y 1mo-20y 11mo); classified as Gross Motor Function Classification System (GMFCS) level II or III and with contractures of <20° at hip and knee. Predictor variables included demographic characteristics (age, sex, weight) and physical characteristics (gross motor function, lower limb muscle strength, 6min walk distance). Data were analyzed using the information-theoretic approach, using the Akaike information criterion (AIC) and linear regression. Daily activity levels were low compared with published norms. Gross Motor Function Measure Dimension-E (GMFM-E; walking, running, and jumping) was the only common predictor variable in models that best predicted energy expenditure, number of steps, and time spent sitting/lying. GMFM Dimension-D (standing) and bilateral reverse leg press strength contributed to the models that predicted daily physical activity. Adolescents and young adults with bilateral spastic CP and mild to moderate walking disabilities have low levels of daily activity. The GMFM-E was an important predictor of daily physical activity. © 2014 Mac Keith Press.

Identifying cognitive predictors of reactive and proactive aggression.

PubMed

Brugman, Suzanne; Lobbestael, Jill; Arntz, Arnoud; Cima, Maaike; Schuhmann, Teresa; Dambacher, Franziska; Sack, Alexander T

2015-01-01

The aim of this study was to identify implicit cognitive predictors of aggressive behavior. Specifically, the predictive value of an attentional bias for aggressive stimuli and automatic association of the self and aggression was examined for reactive and proactive aggressive behavior in a non-clinical sample (N = 90). An Emotional Stroop Task was used to measure an attentional bias. With an idiographic Single-Target Implicit Association Test, automatic associations were assessed between words referring to the self (e.g., the participants' name) and words referring to aggression (e.g., fighting). The Taylor Aggression Paradigm (TAP) was used to measure reactive and proactive aggressive behavior. Furthermore, self-reported aggressiveness was assessed with the Reactive Proactive Aggression Questionnaire (RPQ). Results showed that heightened attentional interference for aggressive words significantly predicted more reactive aggression, while lower attentional bias towards aggressive words predicted higher levels of proactive aggression. A stronger self-aggression association resulted in more proactive aggression, but not reactive aggression. Self-reports on aggression did not additionally predict behavioral aggression. This implies that the cognitive tests employed in our study have the potential to discriminate between reactive and proactive aggression. Aggr. Behav. 41:51-64 2015. © 2014 Wiley Periodicals, Inc. © 2014 Wiley Periodicals, Inc.

Using Proactivity, Time Discounting, and the Theory of Planned Behavior to Identify Predictors of Retirement Planning

ERIC Educational Resources Information Center

Griffin, Barbara; Loe, David; Hesketh, Beryl

2012-01-01

This study developed and tested a model to identify the predictors of retirement planning based on an extension of the theory of planned behavior ([TPB], Ajzen, 1991) that included individual differences in proactivity and time discounting. The results showed that personal attitudes, sense of control, social influence, and stable traits have a…

Improving the precision of lake ecosystem metabolism estimates by identifying predictors of model uncertainty

USGS Publications Warehouse

Rose, Kevin C.; Winslow, Luke A.; Read, Jordan S.; Read, Emily K.; Solomon, Christopher T.; Adrian, Rita; Hanson, Paul C.

2014-01-01

Diel changes in dissolved oxygen are often used to estimate gross primary production (GPP) and ecosystem respiration (ER) in aquatic ecosystems. Despite the widespread use of this approach to understand ecosystem metabolism, we are only beginning to understand the degree and underlying causes of uncertainty for metabolism model parameter estimates. Here, we present a novel approach to improve the precision and accuracy of ecosystem metabolism estimates by identifying physical metrics that indicate when metabolism estimates are highly uncertain. Using datasets from seventeen instrumented GLEON (Global Lake Ecological Observatory Network) lakes, we discovered that many physical characteristics correlated with uncertainty, including PAR (photosynthetically active radiation, 400-700 nm), daily variance in Schmidt stability, and wind speed. Low PAR was a consistent predictor of high variance in GPP model parameters, but also corresponded with low ER model parameter variance. We identified a threshold (30% of clear sky PAR) below which GPP parameter variance increased rapidly and was significantly greater in nearly all lakes compared with variance on days with PAR levels above this threshold. The relationship between daily variance in Schmidt stability and GPP model parameter variance depended on trophic status, whereas daily variance in Schmidt stability was consistently positively related to ER model parameter variance. Wind speeds in the range of ~0.8-3 m s–1 were consistent predictors of high variance for both GPP and ER model parameters, with greater uncertainty in eutrophic lakes. Our findings can be used to reduce ecosystem metabolism model parameter uncertainty and identify potential sources of that uncertainty.

Identifying predictors of hospital readmission following congenital heart surgery through analysis of a multiinstitutional administrative Database.

PubMed

Smith, Andrew H; Doyle, Thomas P; Mettler, Bret A; Bichell, David P; Gay, James C

2015-01-01

Despite resource burdens associated with hospital readmission, there remains little multiinstitutional data available to identify children at risk for readmission following congenital heart surgery. Children undergoing congenital heart surgery and discharged home between January of 2011 and December 2012 were identified within the Pediatric Health Information System database, a multiinstitutional collection of clinical and administrative data. Patient discharges were assigned to derivation and validation cohorts for the purposes of predictive model design, with 17 871 discharges meeting inclusion criteria. Readmission within 30 days was noted following 956 (11%) of discharges within the derivation cohort (n = 9104), with a median time to readmission of 9 days (interquartile range [IQR] 5-18 days). Readmissions resulted in a rehospitalization length of stay of 4 days (IQR 2-8 days) and were associated with an intensive care unit (ICU) admission in 36% of cases. Independent perioperative predictors of readmission included Risk Adjustment in Congenital Heart Surgery score of 6 (odds ratio [OR] 2.6, 95% confidence interval [CI] 1.8-3.7, P < .001) and ICU length of stay of at least 7 days (OR 1.9 95% CI 1.6-2.2, P < .001). Demographic predictors included Hispanic ethnicity (OR 1.2, 95% CI 1.1-1.4, P = .014) and government payor status (OR 1.2, 95% CI 1.1-1.4, P = .007). Predictive model performance was modest among validation cohort (c statistic 0.68, 95% CI 0.66-0.69, P < .001). Readmissions following congenital heart surgery are common and associated with significant resource consumption. While we describe independent predictors that may identify patients at risk for readmission prior to hospital discharge, there likely remains other unreported factors that may contribute to readmission following congenital heart surgery. © 2014 Wiley Periodicals, Inc.

Neural Predictors of Initiating Alcohol Use During Adolescence.

PubMed

Squeglia, Lindsay M; Ball, Tali M; Jacobus, Joanna; Brumback, Ty; McKenna, Benjamin S; Nguyen-Louie, Tam T; Sorg, Scott F; Paulus, Martin P; Tapert, Susan F

2017-02-01

Underage drinking is widely recognized as a leading public health and social problem for adolescents in the United States. Being able to identify at-risk adolescents before they initiate heavy alcohol use could have important clinical and public health implications; however, few investigations have explored individual-level precursors of adolescent substance use. This prospective investigation used machine learning with demographic, neurocognitive, and neuroimaging data in substance-naive adolescents to identify predictors of alcohol use initiation by age 18. Participants (N=137) were healthy substance-naive adolescents (ages 12-14) who underwent neuropsychological testing and structural and functional magnetic resonance imaging (sMRI and fMRI), and then were followed annually. By age 18, 70 youths (51%) initiated moderate to heavy alcohol use, and 67 remained nonusers. Random forest classification models identified the most important predictors of alcohol use from a large set of demographic, neuropsychological, sMRI, and fMRI variables. Random forest models identified 34 predictors contributing to alcohol use by age 18, including several demographic and behavioral factors (being male, higher socioeconomic status, early dating, more externalizing behaviors, positive alcohol expectancies), worse executive functioning, and thinner cortices and less brain activation in diffusely distributed regions of the brain. Incorporating a mix of demographic, behavioral, neuropsychological, and neuroimaging data may be the best strategy for identifying youths at risk for initiating alcohol use during adolescence. The identified risk factors will be useful for alcohol prevention efforts and in research to address brain mechanisms that may contribute to early drinking.

Internet and Democracy: Is the Internet an Important Predictor for Physical Education Teacher Candidates' Attitudes towards Democracy?

ERIC Educational Resources Information Center

Ünlü, Hüseyin

2017-01-01

Today, in the digital age, the Internet usage is common among university students. The Internet is also an important platform for actively participating in democracy. This study explores physical education (PE) candidate teachers' attitudes toward the Internet and democracy. It also explores whether the Internet is an important predictor for…

Suicidal Ideation in Anxiety-Disordered Youth: Identifying Predictors of Risk

PubMed Central

O'Neil Rodriguez, Kelly A.; Kendall, Philip C.

2014-01-01

Objective Evidence is mixed regarding an independent association between anxiety and suicidality. Beyond associations with demographic factors and depression, do anxiety disorders increase risk for suicidality in youth? Given that not all anxiety-disordered youth experience suicidal ideation, potential predictors of risk also require investigation. Method The present study examined (a) the independent relationship between anxiety and suicidal ideation and (b) emotion dysregulation and distress intolerance as predictors of risk for suicidal ideation in a sample of anxiety-disordered youth aged 7-17 (N = 86, M = 11.5). Youth and their parents reported on suicidality, emotion dysregulation, and distress intolerance. Distress tolerance was also measured by a computerized behavioral task. Results Results support an independent relationship between anxiety symptomatology and youth-reported suicidal ideation, controlling for depressive symptoms. Youth self-report of emotion dysregulation and distress intolerance predicted higher levels of suicidal ideation in univariate analyses. In a multivariate analysis including all significant predictors, only anxiety symptomatology uniquely predicted suicidal ideation. Conclusions Results provide recommendations for the assessment and treatment of suicidality in anxiety-disordered youth. Suggestions for future research investigating the relationship between anxiety and suicidal ideation are offered. PMID:24156368

FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors.

PubMed

Lorenzo-Seva, Urbano; Ferrando, Pere J

2011-03-01

We provide an SPSS program that implements currently recommended techniques and recent developments for selecting variables in multiple linear regression analysis via the relative importance of predictors. The approach consists of: (1) optimally splitting the data for cross-validation, (2) selecting the final set of predictors to be retained in the equation regression, and (3) assessing the behavior of the chosen model using standard indices and procedures. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from brm.psychonomic-journals.org/content/supplemental.

Predictors of the risk factors for suicide identified by the interpersonal-psychological theory of suicidal behaviour.

PubMed

Christensen, Helen; Batterham, Philip James; Mackinnon, Andrew J; Donker, Tara; Soubelet, Andrea

2014-10-30

The Interpersonal-Psychological Theory of Suicide (IPTS) has been supported by recent research. However, the nature of the models׳ three major constructs--perceived burdensomeness, thwarted belongingness and acquired capability - requires further investigation. In this paper, we test a number of hypotheses about the predictors and correlates of the IPTS constructs. Participants aged 32-38 from an Australian population-based longitudinal cohort study (n=1167) were assessed. IPTS constructs were measured by items from the Interpersonal Needs Questionnaire (INQ) and Acquired Capability for Suicide Scale (ACSS), alongside demographic and additional measures, measured concurrently or approximately 8 years earlier. Cross-sectional analyses evaluating the IPTS supported earlier work. Mental health was significantly related to all three IPTS constructs, but depression and anxiety caseness were associated only with perceived burdensomeness. Various social support measures were differentially associated with the three constructs. Stressful events and lifetime traumas had robust independent associations with acquired capability for suicide only. The IPTS model provides a useful framework for conceptualising suicide risk. The findings highlight the importance of perceived social support in suicide risk, identify the importance of personality and other factors as new avenues of research, and provide some validation for the independence of the constructs. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Predictors of English Health Literacy among U.S. Hispanic Immigrants: The importance of language, bilingualism and sociolinguistic environment

PubMed Central

Hund, Lauren; Soto Mas, Francisco

2016-01-01

In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p < 0.001). The results further point to the importance of primary and secondary language in the assessment of heath literacy level. This study raises many questions in need of further investigation to clarify how language proficiency and sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities. PMID:27127416

Predictors of English Health Literacy among U.S. Hispanic Immigrants: The importance of language, bilingualism and sociolinguistic environment.

PubMed

Jacobson, Holly E; Hund, Lauren; Soto Mas, Francisco

In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p < 0.001). The results further point to the importance of primary and secondary language in the assessment of heath literacy level. This study raises many questions in need of further investigation to clarify how language proficiency and sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities.

Measuring Teacher Quality: Continuing the Search for Policy-Relevant Predictors of Student Achievement

ERIC Educational Resources Information Center

Knoeppel, Robert C.; Logan, Joyce P.; Keiser, Clare M.

2005-01-01

The purpose of this study was to investigate the potential viability of the variable certification by the National Board for Professional Teaching Standards (NBPTS) as a policy-relevant predictor of student achievement. Because research has identified the teacher as the most important school-related predictor of student achievement, more research…

Predictors of Complications in Patients Receiving Head and Neck Free Flap Reconstructive Procedures.

PubMed

Eskander, Antoine; Kang, Stephen; Tweel, Ben; Sitapara, Jigar; Old, Matthew; Ozer, Enver; Agrawal, Amit; Carrau, Ricardo; Rocco, James W; Teknos, Theodoros N

2018-05-01

Objective To (1) determine the overall complication rate, wound healing, and wound infection complications and (2) identify preoperative, intraoperative, and postoperative predictors of these complications. Study Design Case series with chart review. Setting Tertiary academic cancer hospital. Subjects and Methods All head and neck free flap patients at The Ohio State University (2006-2012) were assessed. Multivariable logistic regression assessed the impact of patient factors, flap and wound factors, and intraoperative factors on the aforementioned quality metric outcomes. Results Of the 515 patients identified, 54% had a complication predicted by longer operating room (OR) time, higher comorbidity index, and oral cavity and pharyngeal tumor sites. Predictors of wound-healing complications (15%) were longer OR time, volume of crystalloid given intraoperatively, and oral cavity and pharyngeal tumor sites. Predictors of wound infection (12%) were younger age, diabetes mellitus, and malnutrition. Conclusions Wound healing and infectious complications account for most complications in patients with head and neck cancer undergoing free flap reconstruction. Clean contaminated wounds are a significant predictor of wound complications. Advanced OR time, advanced age, and comorbidity status, including diabetes mellitus and malnutrition, are other important predictors. Crystalloid administration is also an important predictor of wound-healing complications, and this warrants further study.

Crowdsourcing novel childhood predictors of adult obesity.

PubMed

Bevelander, Kirsten E; Kaipainen, Kirsikka; Swain, Robert; Dohle, Simone; Bongard, Josh C; Hines, Paul D H; Wansink, Brian

2014-01-01

Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age  =  26.5±6.7; BMI  =  29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children's lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors.

One-leg balance is an important predictor of injurious falls in older persons.

PubMed

Vellas, B J; Wayne, S J; Romero, L; Baumgartner, R N; Rubenstein, L Z; Garry, P J

1997-06-01

To test the hypothesis that one-leg balance is a significant predictor of falls and injurious falls. Analysis of data from a longitudinal cohort study. Healthy, community-living volunteers older than age 60 enrolled in the Albuquerque Falls Study and followed for 3 years (N = 316; mean age 73 years). Falls and injurious falls detected via reports every other month. Baseline measures of demographics, history, physical examination, Iowa Self Assessment Inventory, balance and gait assessment, and one-leg balance (ability to stand unassisted for 5 seconds on one leg). At baseline, 84.5% of subjects could perform one-leg balance. (Impairment was associated with older age and gait abnormalities.) Over the 3-year follow-up, 71% experienced a fall and 22% an injurious fall. The only independent significant predictor of all falls using logistic regression was age greater than 73. However, impaired one-leg balance was the only significant independent predictor of injurious falls (relative risk: 2.13; 95% CI: 1.04, 4.34; P = .03). One-leg balance appears to be a significant and easy-to-administer predictor of injurious falls, but not of all falls. In our study, it was the strongest individual predictor. However, no single factor seems to be accurate enough to be relied on as a sole predictor of fall risk or fall injury risk because so many diverse factors are involved in falling.

Identifying health insurance predictors and the main reported reasons for being uninsured among US immigrants by legal authorization status

PubMed Central

Bustamante, Arturo Vargas; Chen, Jie; Fang, Hai; Rizzo, John A.; Ortega, Alexander N.

2014-01-01

SUMMARY This study identifies differences in health insurance predictors and investigates the main reported reasons for lacking health insurance coverage between short-stayed (≤ 10 years) and long-stayed (> 10 years) US immigrant adults to parse the possible consequences of the Affordable Care Act among immigrants by length of stay and documentation status. Foreign-born adults (18–64 years of age) from the 2009 California Health Interview Survey are the study population. Health insurance coverage predictors and the main reasons for being uninsured are compared across cohorts and by documentation status. A logistic-regression two-part multivariate model is used to adjust for confounding factors. The analyses determine that legal status is a strong health insurance predictor, particularly among long-stayed undocumented immigrants. Immigration status is the main reported reason for lacking health insurance. Although long-stayed documented immigrants are likely to benefit from the Affordable Care Act implementation, undocumented immigrants and short-stayed documented immigrants may encounter difficulties getting health insurance coverage. PMID:24038524

Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

PubMed

Henneghan, Ashley M; Palesh, Oxana; Harrison, Michelle; Kesler, Shelli R

2018-07-15

The purpose of this study is to explore 13 cytokine predictors of chemotherapy-related cognitive impairment (CRCI) in breast cancer survivors (BCS) 6 months to 10 years after chemotherapy completion using a multivariate, non-parametric approach. Cross sectional data collection included completion of a survey, cognitive testing, and non-fasting blood from 66 participants. Data were analyzed using random forest regression to identify the most significant predictors for each of the cognitive test scores. A different cytokine profile predicted each cognitive test. Adjusted R 2 for each model ranged from 0.71-0.77 (p's < 9.50 -10 ). The relationships between all the cytokine predictors and cognitive test scores were non-linear. Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study. Copyright © 2018 Elsevier B.V. All rights reserved.

Explaining Variance and Identifying Predictors of Children's Communication via a Multilevel Model of Single-Case Design Research: Brief Report

ERIC Educational Resources Information Center

Ottley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances

2016-01-01

The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…

Identifying health insurance predictors and the main reported reasons for being uninsured among US immigrants by legal authorization status.

PubMed

Vargas Bustamante, Arturo; Chen, Jie; Fang, Hai; Rizzo, John A; Ortega, Alexander N

2014-01-01

This study identifies differences in health insurance predictors and investigates the main reported reasons for lacking health insurance coverage between short-stayed (≤ 10 years) and long-stayed (>10 years) US immigrant adults to parse the possible consequences of the Affordable Care Act among immigrants by length of stay and documentation status. Foreign-born adults (18-64 years of age) from the 2009 California Health Interview Survey are the study population. Health insurance coverage predictors and the main reasons for being uninsured are compared across cohorts and by documentation status. A logistic-regression two-part multivariate model is used to adjust for confounding factors. The analyses determine that legal status is a strong health insurance predictor, particularly among long-stayed undocumented immigrants. Immigration status is the main reported reason for lacking health insurance. Although long-stayed documented immigrants are likely to benefit from the Affordable Care Act implementation, undocumented immigrants and short-stayed documented immigrants may encounter difficulties getting health insurance coverage. Copyright © 2013 John Wiley & Sons, Ltd.

Predictors of nurse manager stress: a dominance analysis of potential work environment stressors.

PubMed

Kath, Lisa M; Stichler, Jaynelle F; Ehrhart, Mark G; Sievers, Andree

2013-11-01

Nurse managers have important but stressful jobs. Clinical or bedside nurse predictors of stress have been studied more frequently, but less has been done on work environment predictors for those in this first-line leadership role. Understanding the relative importance of those work environment predictors could be used to help identify the most fruitful areas for intervention, potentially improving recruitment and retention for nurse managers. Using Role Stress Theory and the Job Demands-Resources Theory, a model was tested examining the relative importance of five potential predictors of nurse manager stress (i.e., stressors). The work environment stressors included role ambiguity, role overload, role conflict, organizational constraints, and interpersonal conflict. A quantitative, cross-sectional survey study was conducted with a convenience sample of 36 hospitals in the Southwestern United States. All nurse managers working in these 36 hospitals were invited to participate. Of the 636 nurse managers invited, 480 responded, for a response rate of 75.5%. Questionnaires were distributed during nursing leadership meetings and were returned in person (in sealed envelopes) or by mail. Because work environment stressors were correlated, dominance analysis was conducted to examine which stressors were the most important predictors of nurse manager stress. Role overload was the most important predictor of stress, with an average of 13% increase in variance explained. The second- and third-most important predictors were organizational constraints and role conflict, with an average of 7% and 6% increase in variance explained, respectively. Because other research has shown deleterious effects of nurse manager stress, organizational leaders are encouraged to help nurse managers reduce their actual and/or perceived role overload and organizational constraints. Copyright © 2013 Elsevier Ltd. All rights reserved.

Identifying bacterial predictors of honey bee health.

PubMed

Budge, Giles E; Adams, Ian; Thwaites, Richard; Pietravalle, Stéphane; Drew, Georgia C; Hurst, Gregory D D; Tomkies, Victoria; Boonham, Neil; Brown, Mike

2016-11-01

Non-targeted approaches are useful tools to identify new or emerging issues in bee health. Here, we utilise next generation sequencing to highlight bacteria associated with healthy and unhealthy honey bee colonies, and then use targeted methods to screen a wider pool of colonies with known health status. Our results provide the first evidence that bacteria from the genus Arsenophonus are associated with poor health in honey bee colonies. We also discovered Lactobacillus and Leuconostoc spp. were associated with healthier honey bee colonies. Our results highlight the importance of understanding how the wider microbial population relates to honey bee colony health. Crown Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Meta-Analyses of Predictors of Hope in Adolescents.

PubMed

Yarcheski, Adela; Mahon, Noreen E

2016-03-01

The purposes of this study were to identify predictors of hope in the literature reviewed, to use meta-analysis to determine the mean effect size (ES) across studies between each predictor and hope, and to examine four moderators on each predictor-hope relationship. Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for the literature reviewed, 77 published studies or doctoral dissertations completed between 1990 and 2012 met the inclusion criteria. Eleven predictors of hope were identified and each predictor in relation to hope was subjected to meta-analysis. Five predictors (positive affect, life satisfaction, optimism, self-esteem, and social support) of hope had large mean ESs, 1 predictor (depression) had a medium ES, 4 predictors (negative affect, stress, academic achievement, and violence) had small ESs, and 1 predictor (gender) had a trivial ES. Findings are interpreted for the 11 predictors in relation to hope. Limitations and conclusions are addressed; future studies are recommended. © The Author(s) 2014.

Predictors of Self-Efficacy for HIV Prevention Among Hispanic Women in South Florida

PubMed Central

Villegas, Natalia; Cianelli, Rosina; Gonzalez-Guarda, Rosa; Kaelber, Lorena; Ferrer, Lilian; Peragallo, Nilda

2012-01-01

Self-efficacy is a critical element for HIV prevention, however little is known about the predictors of self-efficacy for HIV prevention among Hispanic women. In this cross-sectional study we assessed if age, living with a partner, employment status, HIV knowledge, self-esteem, and intimate partner violence (IPV) predicted self-efficacy for HIV prevention in 548 Hispanic women in South Florida who participated in a randomized controlled trial (SEPA). The majority of Hispanic women reported high levels of self-efficacy for HIV prevention. Women who were older, living with a partner, with less HIV knowledge, and a history of IPV reported significantly lower levels of self-efficacy for HIV prevention. HIV knowledge was the most important predictor of self-efficacy for HIV prevention. Employment was not a significant predictor of self-efficacy for HIV prevention. Predictors identified in the study can be used to identify high-risk Hispanic women who are in need of HIV prevention interventions. PMID:22795758

Identifying marine Important Bird Areas using at-sea survey data

USGS Publications Warehouse

Smith, Melanie A.; Walker, Nathan J.; Free, Christopher M.; Kirchhoff, Matthew J.; Drew, Gary S.; Warnock, Nils; Stenhouse, Iain J.

2014-01-01

Effective marine bird conservation requires identification of at-sea locations used by populations for foraging, staging, and migration. Using an extensive database of at-sea survey data spanning over 30 years, we developed a standardized and data-driven spatial method for identifying globally significant marine Important Bird Areas in Alaska. To delineate these areas we developed a six-step process: binning data and accounting for unequal survey effort, filtering input data for persistence of species use, using a moving window analysis to produce maps representing a gradient from low to high abundance, drawing core area boundaries around major concentrations based on abundance thresholds, validating the results, and combining overlapping boundaries into important areas for multiple species. We identified 126 bird core areas which were merged into 59 pelagic sites important to 45 out of 57 species assessed. The final areas included approximately 34–38% of all marine birds in Alaska waters, within just 6% of the total area. We identified globally significant Important Bird Areas spanning 20 degrees of latitude and 56 degrees of longitude, in two different oceans, with climates ranging from temperate to polar. Although our maps did suffer from some data gaps, these gaps did not preclude us from identifying sites that incorporated 13% of the assessed continental waterbird population and 9% of the assessed global seabird population. The application of this technique over a large and productive region worked well for a wide range of birds, exhibiting a variety of foraging strategies and occupying a variety of ecosystem types.

Measures for Predictors of Innovation Adoption

PubMed Central

Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.

2014-01-01

Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175

Predictors of unprotected sex among young sexually active African American, Hispanic, and White MSM: the importance of ethnicity and culture.

PubMed

Warren, Jacob C; Fernández, M Isabel; Harper, Gary W; Hidalgo, Marco A; Jamil, Omar B; Torres, Rodrigo Sebastián

2008-05-01

Despite the recognized need for culturally tailored HIV prevention interventions for gay, bisexual, and questioning youth, few studies have examined if predictors of unprotected sex vary for youth from different ethnic groups. This study reports on a sample of 189 gay, bisexual, and questioning youth (age 15-22) from three racial/ethnic backgrounds (African American, Hispanic, and White) recruited in Chicago, IL and Miami-Dade and Broward Counties, Florida. For African American youth, being in a long-term relationship, having been kicked out of the home for having sex with men, and younger age at initiation of sexual behavior were associated with unprotected sex. For Hispanic youth, higher ethnic identification and older age at initiation of sexual behavior were associated with unprotected sex. For White youth, no predictors were associated with unprotected sex. Our findings point to the importance of understanding the varying predictors of unprotected sex and integrating them into tailored prevention interventions.

Predictors of Unprotected Sex among Young Sexually Active African American, Hispanic, and White MSM: The Importance of Ethnicity and Culture

PubMed Central

Fernández, M. Isabel; Harper, Gary W.; Hidalgo, Marco A.; Jamil, Omar B.; Torres, Rodrigo Sebastián

2010-01-01

Despite the recognized need for culturally tailored HIV prevention interventions for gay, bisexual, and questioning youth, few studies have examined if predictors of unprotected sex vary for youth from different ethnic groups. This study reports on a sample of 189 gay, bisexual, and questioning youth (age 15–22) from three racial/ethnic backgrounds (African American, Hispanic, and White) recruited in Chicago, IL and Miami-Dade and Broward Counties, Florida. For African American youth, being in a long-term relationship, having been kicked out of the home for having sex with men, and younger age at initiation of sexual behavior were associated with unprotected sex. For Hispanic youth, higher ethnic identification and older age at initiation of sexual behavior were associated with unprotected sex. For White youth, no predictors were associated with unprotected sex. Our findings point to the importance of understanding the varying predictors of unprotected sex and integrating them into tailored prevention interventions. PMID:17721725

Identifying and Promoting Transition Evidence-Based Practices and Predictors of Success: A Position Paper of the Division on Career Development and Transition

ERIC Educational Resources Information Center

Mazzotti, Valerie L.; Rowe, Dawn A.; Cameto, Renee; Test, David W.; Morningstar, Mary E.

2013-01-01

This position paper describes the Division of Career Development and Transition's stance and recommendations for identifying and promoting secondary transition evidence-based practices and predictors of postschool success for students with disabilities. Recommendations for experimental research, correlational research, and secondary analysis of…

Frequency and clinical predictors of coronary artery disease in chronic renal failure renal transplant candidates.

PubMed

de Albuquerque Seixas, Emerson; Carmello, Beatriz Leone; Kojima, Christiane Akemi; Contti, Mariana Moraes; Modeli de Andrade, Luiz Gustavo; Maiello, José Roberto; Almeida, Fernando Antonio; Martin, Luis Cuadrado

2015-05-01

Cardiovascular diseases are major causes of mortality in chronic renal failure patients before and after renal transplantation. Among them, coronary disease presents a particular risk; however, risk predictors have been used to diagnose coronary heart disease. This study evaluated the frequency and importance of clinical predictors of coronary artery disease in chronic renal failure patients undergoing dialysis who were renal transplant candidates, and assessed a previously developed scoring system. Coronary angiographies conducted between March 2008 and April 2013 from 99 candidates for renal transplantation from two transplant centers in São Paulo state were analyzed for associations between significant coronary artery diseases (≥70% stenosis in one or more epicardial coronary arteries or ≥50% in the left main coronary artery) and clinical parameters. Univariate logistic regression analysis identified diabetes, angina, and/or previous infarction, clinical peripheral arterial disease and dyslipidemia as predictors of coronary artery disease. Multiple logistic regression analysis identified only diabetes and angina and/or previous infarction as independent predictors. The results corroborate previous studies demonstrating the importance of these factors when selecting patients for coronary angiography in clinical pretransplant evaluation.

iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix

PubMed Central

Xiao, Xuan; Wang, Pu; Chou, Kuo-Chen

2012-01-01

Nuclear receptors (NRs) form a family of ligand-activated transcription factors that regulate a wide variety of biological processes, such as homeostasis, reproduction, development, and metabolism. Human genome contains 48 genes encoding NRs. These receptors have become one of the most important targets for therapeutic drug development. According to their different action mechanisms or functions, NRs have been classified into seven subfamilies. With the avalanche of protein sequences generated in the postgenomic age, we are facing the following challenging problems. Given an uncharacterized protein sequence, how can we identify whether it is a nuclear receptor? If it is, what subfamily it belongs to? To address these problems, we developed a predictor called iNR-PhysChem in which the protein samples were expressed by a novel mode of pseudo amino acid composition (PseAAC) whose components were derived from a physical-chemical matrix via a series of auto-covariance and cross-covariance transformations. It was observed that the overall success rate achieved by iNR-PhysChem was over 98% in identifying NRs or non-NRs, and over 92% in identifying NRs among the following seven subfamilies: NR1thyroid hormone like, NR2HNF4-like, NR3estrogen like, NR4nerve growth factor IB-like, NR5fushi tarazu-F1 like, NR6germ cell nuclear factor like, and NR0knirps like. These rates were derived by the jackknife tests on a stringent benchmark dataset in which none of protein sequences included has pairwise sequence identity to any other in a same subset. As a user-friendly web-server, iNR-PhysChem is freely accessible to the public at either http://www.jci-bioinfo.cn/iNR-PhysChem or http://icpr.jci.edu.cn/bioinfo/iNR-PhysChem. Also a step-by-step guide is provided on how to use the web-server to get the desired results without the need to follow the complicated mathematics involved in developing the predictor. It is anticipated that iNR-PhysChem may become a useful high throughput tool

Early Concern and Disregard for Others as Predictors of Antisocial Behavior

ERIC Educational Resources Information Center

Rhee, Soo Hyun; Friedman, Naomi P.; Boeldt, Debra L.; Corley, Robin P.; Hewitt, John. K.; Knafo, Ariel; Lahey, Benjamin B.; Robinson, JoAnn; Van Hulle, Carol A.; Waldman, Irwin D.; Young, Susan E.; Zahn-Waxler, Carolyn

2013-01-01

Background: Prediction of antisocial behavior is important, given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and…

Predictors of Psychiatric Disorders in Combat Veterans

DTIC Science & Technology

2013-05-07

Naval Health Research Center Predictors of Psychiatric Disorders in Combat Veterans Stephanie Booth-Kewley Emily A. Schmied Robin M...ARTICLE Open Access Predictors of psychiatric disorders in combat veterans Stephanie Booth-Kewley1*, Emily A Schmied1, Robyn M Highfill-McRoy1, Gerald E...examined predictors of actual mental health diagnoses. The objective of this longitudinal investigation was to identify predictors of psychiatric disorders

Prevalence and Predictors of Persistent Speech Sound Disorder at Eight Years Old: Findings From a Population Cohort Study

PubMed Central

Miller, Laura L.; Peters, Tim J.; Emond, Alan; Roulstone, Sue

2016-01-01

Purpose The purpose of this study was to determine prevalence and predictors of persistent speech sound disorder (SSD) in children aged 8 years after disregarding children presenting solely with common clinical distortions (i.e., residual errors). Method Data from the Avon Longitudinal Study of Parents and Children (Boyd et al., 2012) were used. Children were classified as having persistent SSD on the basis of percentage of consonants correct measures from connected speech samples. Multivariable logistic regression analyses were performed to identify predictors. Results The estimated prevalence of persistent SSD was 3.6%. Children with persistent SSD were more likely to be boys and from families who were not homeowners. Early childhood predictors identified as important were weak sucking at 4 weeks, not often combining words at 24 months, limited use of word morphology at 38 months, and being unintelligible to strangers at age 38 months. School-age predictors identified as important were maternal report of difficulty pronouncing certain sounds and hearing impairment at age 7 years, tympanostomy tube insertion at any age up to 8 years, and a history of suspected coordination problems. The contribution of these findings to our understanding of risk factors for persistent SSD and the nature of the condition is considered. Conclusion Variables identified as predictive of persistent SSD suggest that factors across motor, cognitive, and linguistic processes may place a child at risk. PMID:27367606

Burnout and Engagement: Relative Importance of Predictors and Outcomes in Two Health Care Worker Samples.

PubMed

Fragoso, Zachary L; Holcombe, Kyla J; McCluney, Courtney L; Fisher, Gwenith G; McGonagle, Alyssa K; Friebe, Susan J

2016-06-09

This study's purpose was twofold: first, to examine the relative importance of job demands and resources as predictors of burnout and engagement, and second, the relative importance of engagement and burnout related to health, depressive symptoms, work ability, organizational commitment, and turnover intentions in two samples of health care workers. Nurse leaders (n = 162) and licensed emergency medical technicians (EMTs; n = 102) completed surveys. In both samples, job demands predicted burnout more strongly than job resources, and job resources predicted engagement more strongly than job demands. Engagement held more weight than burnout for predicting commitment, and burnout held more weight for predicting health outcomes, depressive symptoms, and work ability. Results have implications for the design, evaluation, and effectiveness of workplace interventions to reduce burnout and improve engagement among health care workers. Actionable recommendations for increasing engagement and decreasing burnout in health care organizations are provided. © 2016 The Author(s).

Discrimination, acculturation and other predictors of depression among pregnant Hispanic women.

PubMed

Walker, Janiece L; Ruiz, R Jeanne; Chinn, Juanita J; Marti, Nathan; Ricks, Tiffany N

2012-01-01

The purpose of our study was to examine the effects of socioeconomic status, acculturative stress, discrimination, and marginalization as predictors of depression in pregnant Hispanic women. A prospective observational design was used. Central and Gulf coast areas of Texas in obstetrical offices. A convenience sample of 515 pregnant, low income, low medical risk, and self-identified Hispanic women who were between 22-24 weeks gestation was used to collect data. The predictor variables were socioeconomic status, discrimination, acculturative stress, and marginalization. The outcome variable was depression. Education, frequency of discrimination, age, and Anglo marginality were significant predictors of depressive symptoms in a linear regression model, F (6, 458) = 8.36, P<.0001. Greater frequency of discrimination was the strongest positive predictor of increased depressive symptoms. It is important that health care providers further understand the impact that age and experiences of discrimination throughout the life course have on depressive symptoms during pregnancy.

Discrimination, Acculturation and Other Predictors of Depression among Pregnant Hispanic Women

PubMed Central

Walker, Janiece L.; Ruiz, R. Jeanne; Chinn, Juanita J.; Marti, Nathan; Ricks, Tiffany N.

2012-01-01

Objective The purpose of our study was to examine the effects of socioeconomic status, acculturative stress, discrimination, and marginalization as predictors of depression in pregnant Hispanic women. Design A prospective observational design was used. Setting Central and Gulf coast areas of Texas in obstetrical offices. Participants A convenience sample of 515 pregnant, low income, low medical risk, and self-identified Hispanic women who were between 22–24 weeks gestation was used to collect data. Measures The predictor variables were socioeconomic status, discrimination, acculturative stress, and marginalization. The outcome variable was depression. Results Education, frequency of discrimination, age, and Anglo marginality were significant predictors of depressive symptoms in a linear regression model, F (6, 458) = 8.36, P<.0001. Greater frequency of discrimination was the strongest positive predictor of increased depressive symptoms. Conclusions It is important that health care providers further understand the impact that age and experiences of discrimination throughout the life course have on depressive symptoms during pregnancy. PMID:23140083

Predictors of insubordinate aggression among captive female rhesus macaques.

PubMed

Seil, Shannon K; Hannibal, Darcy L; Beisner, Brianne A; McCowan, Brenda

2017-11-01

Cercopithicine primates tend to have nepotistic hierarchies characterized by predictable, kinship-based dominance. Although aggression is typically directed down the hierarchy, insubordinate aggression does occur. Insubordination is important to understand because it can precipitate social upheaval and undermine group stability; however, the factors underlying it are not well understood. We test whether key social and demographic variables predict insubordination among captive female rhesus macaques. To identify factors influencing insubordination, multivariate analyses of 10,821 dyadic conflicts among rhesus macaque females were conducted, using data from six captive groups. A segmented regression analysis was used to identify dyads with insubordination. Negative binomial regression analyses and an information theoretic approach were used to assess predictors of insubordination among dyads. In the best models, weight difference (w = 1.0; IRR = 0.930), age (dominant: w = 1.0, IRR = 0.681; subordinate: w = 1.0, IRR = 1.069), the subordinate's total number of allies (w = 0.727, IRR = 1.060) or non-kin allies (w = 0.273, IRR = 1.165), the interaction of the dominant's kin allies and weight difference (w = 0.938, IRR = 1.046), violation of youngest ascendancy (w = 1.0; IRR = 2.727), and the subordinate's maternal support (w = 1.0; IRR = 2.928), are important predictors of insubordination. These results show that both intrinsic and social factors influence insubordinate behavior. This adds to evidence of the importance of intrinsic factors and flexibility in a social structure thought to be rigid and predetermined by external factors. Further, because insubordination can precipitate social overthrow, determining predictors of insubordination will shed light on mechanisms underlying stability in nepotistic societies. © 2017 Wiley Periodicals, Inc.

Identifying potential academic leaders: Predictors of willingness to undertake leadership roles in an academic department of family medicine.

PubMed

White, David; Krueger, Paul; Meaney, Christopher; Antao, Viola; Kim, Florence; Kwong, Jeffrey C

2016-02-01

To identify variables associated with willingness to undertake leadership roles among academic family medicine faculty. Web-based survey. Bivariate and multivariable analyses (logistic regression) were used to identify variables associated with willingness to undertake leadership roles. Department of Family and Community Medicine at the University of Toronto in Ontario. A total of 687 faculty members. Variables related to respondents' willingness to take on various academic leadership roles. Of all 1029 faculty members invited to participate in the survey, 687 (66.8%) members responded. Of the respondents, 596 (86.8%) indicated their level of willingness to take on various academic leadership roles. Multivariable analysis revealed that the predictors associated with willingness to take on leadership roles were as follows: pursuit of professional development opportunities (odds ratio [OR] 3.79, 95% CI 2.29 to 6.27); currently holding at least 1 leadership role (OR 5.37, 95% CI 3.38 to 8.53); a history of leadership training (OR 1.86, 95% CI 1.25 to 2.78); the perception that mentorship is important for one's current role (OR 2.25, 95% CI 1.40 to 3.60); and younger age (OR 0.97, 95% CI 0.95 to 0.99). Willingness to undertake new or additional leadership roles was associated with 2 variables related to leadership experiences, 2 variables related to perceptions of mentorship and professional development, and 1 demographic variable (younger age). Interventions that support opportunities in these areas might expand the pool and strengthen the academic leadership potential of faculty members.

Longitudinal predictors of colorectal cancer screening among participants in a randomized controlled trial.

PubMed

Murphy, Caitlin C; Vernon, Sally W; Haddock, Nicole M; Anderson, Melissa L; Chubak, Jessica; Green, Beverly B

2014-09-01

Few studies use longitudinal data to identify predictors of colorectal cancer screening (CRCS). We examined predictors of (1) initial CRCS during the first year of a randomized trial, and (2) repeat CRCS during the second year of the trial among those that completed FOBT in Year 1. The sample comprised 1247 participants of the Systems of Support to Increase Colorectal Cancer Screening (SOS) Trial (Group Health Cooperative, August 2008 to November 2011). Potential predictors of CRCS were identified with logistic regression and included sociodemographics, health history, and validated scales of psychosocial constructs. Prior CRCS (OR 2.64, 95% CI 1.99-3.52) and intervention group (Automated: OR 2.06 95% CI 1.43-2.95; Assisted: OR 4.03, 95% CI 2.69-6.03; Navigated: OR 5.64, 95% CI 3.74-8.49) were predictors of CRCS completion at Year 1. For repeat CRCS at Year 2, prior CRCS at baseline (OR 1.97, 95% CI 1.25-3.11), intervention group (Automated: OR 9.27, 95% CI 4.56-18.82; Assisted: OR 11.17, 95% CI 5.44-22.94; Navigated: OR 13.10, 95% CI 6.33-27.08), and self-efficacy (OR 1.32, 95% CI 1.00-1.73) were significant predictors. Self-efficacy and prior CRCS are important predictors of future screening behavior. CRCS completion increased when access barriers were removed through interventions. Copyright © 2014 Elsevier Inc. All rights reserved.

Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study

PubMed Central

Lilley, Rebbecca; Davie, Gabrielle; Derrett, Sarah

2017-01-01

Objectives Few studies examine the influence of early predictors of work absence beyond 12 months following injury or the time-dependent relative importance of these factors. This study aimed to identify the most important sociodemographic, occupational, health, lifestyle and injury predictors of work absence at 12 and 24 months following injury and to examine changes in the relative importance of these over time. Design Prospective cohort study. Setting The Prospective Outcomes of Injury Study, New Zealand. Participants 2626 injured New Zealand workers aged 18–64 years were identified from the Prospective Outcomes of Injury Study recruited form New Zealand’s monopoly injury compensation provider injury claims register: 2092 completed the 12-month interview (80% follow-up) and 2082 completed the 24-month interview (79% follow-up). Primary and secondary outcomes measures The primary outcomes of interest was absence from work at the time of the 12-month and 24-month follow-up interviews. Results Using modified Poisson regression to estimate relative risks, important groups of workers were identified at increased risk of work absence at both 12 and 24 months: males, low-income workers, trade/manual workers, temporary employees, those reporting two or more comorbidities and those experiencing a work-related injury. Important factors unique to predicting work absence at 12 months included financial insecurity, fixed-term employment and long weekly hours worked; unique factors at 24 months included job dissatisfaction, long weekly days worked, a prior injury and sustaining an injury that was perceived to be a threat to life. Conclusions Important early predictors of work absence at 12 or 24 months following injury are multidimensional and have a time dependent pattern. A consistent set of predictors was, however, present at both time periods that are prime for early intervention. Understanding the multidimensional, time-dependent patterns of early predictors of

Hourly air pollution concentrations and their important predictors over Houston, Texas using deep neural networks: case study of DISCOVER-AQ time period

NASA Astrophysics Data System (ADS)

Eslami, E.; Choi, Y.; Roy, A.

2017-12-01

Air quality forecasting carried out by chemical transport models often show significant error. This study uses a deep-learning approach over the Houston-Galveston-Brazoria (HGB) area to overcome this forecasting challenge, for the DISCOVER-AQ period (September 2013). Two approaches, deep neural network (DNN) using a Multi-Layer Perceptron (MLP) and Restricted Boltzmann Machine (RBM) were utilized. The proposed approaches analyzed input data by identifying features abstracted from its previous layer using a stepwise method. The approaches predicted hourly ozone and PM in September 2013 using several predictors of prior three days, including wind fields, temperature, relative humidity, cloud fraction, precipitation along with PM, ozone, and NOx concentrations. Model-measurement comparisons for available monitoring sites reported Indexes of Agreement (IOA) of around 0.95 for both DNN and RBM. A standard artificial neural network (ANN) (IOA=0.90) with similar architecture showed poorer performance than the deep networks, clearly demonstrating the superiority of the deep approaches. Additionally, each network (both deep and standard) performed significantly better than a previous CMAQ study, which showed an IOA of less than 0.80. The most influential input variables were identified using their associated weights, which represented the sensitivity of ozone to input parameters. The results indicate deep learning approaches can achieve more accurate ozone forecasting and identify the important input variables for ozone predictions in metropolitan areas.

Identifying predictors of childhood anaemia in north-east India.

PubMed

Dey, Sanku; Goswami, Sankar; Dey, Tanujit

2013-12-01

The objective of this study is to examine the factors that influence the occurrence of childhood anaemia in North-East India by exploring dataset of the Reproductive and Child Health-II Survey (RCH-II). The study population consisted of 10,137 children in the age-group of 0-6 year(s) from North-East India to explore the predictors of childhood anaemia by means of different background characteristics, such as place of residence, religion, household standard of living, literacy of mother, total children ever born to a mother, age of mother at marriage. Prevalence of anaemia among children was taken as a polytomous variable. The predicted probabilities of anaemia were established via multinomial logistic regression model. These probabilities provided the degree of assessment of the contribution of predictors in the prevalence of childhood anaemia. The mean haemoglobin concentration in children aged 0-6 year(s) was found to be 11.85 g/dL, with a standard deviation of 5.61 g/dL. The multiple logistic regression analysis showed that rural children were at greater risk of severe (OR = 2.035; p = 0.003) and moderate (OR = 1.23; p = 0.003) anaemia. All types of anaemia (severe, moderate, and mild) were more prevalent among Hindu children (OR = 2.971; p = 0.000), (OR = 1.195; p = 0.010), and (OR = 1.201; p = 0.011) than among children of other religions whereas moderate (OR = 1.406; p = 0.001) and mild (OR = 1.857; p=0.000) anaemia were more prevalent among Muslim children. The fecundity of the mother was found to have significant effect on anaemia. Women with multiple children were prone to greater risk of anaemia. The multiple logistic regression analysis also confirmed that children of literate mothers were comparatively at lesser risk of severe anaemia. Mother's age at marriage had a significant effect on anaemia of their children as well.

Predictors of physical activity change among adults using observational designs.

PubMed

Rhodes, Ryan E; Quinlan, Alison

2015-03-01

Regular physical activity (PA) is foundational to human health, yet most people are inactive. A sound understanding of the determinants of PA may be instructive for building interventions and/or identifying critical target groups to promote PA. Most research on PA correlates has been biased by cross-sectional or passive prospective designs that fail to examine within-person analysis of PA change. The purpose of this review was to collect and appraise the available literature on the predictors of PA change conceived broadly in terms of increases/decreases from baseline assessment as well as specifically in terms of adoption and maintenance. Eligible studies were from English, peer-reviewed published articles that examined predictors of natural change of PA over 3 months + using observational (non-experimental) data in adult samples. Searches were performed from June 2012 to January 2014 in eight databases. Sixty-seven independent data-sets, from 12 countries, primarily of medium quality/risk of bias, were identified with 26 correlates spanning demographic, behavioral, intra-individual, inter-individual, and environmental categories. Only intention and the onset of motherhood could reliably predict overall PA change. Among datasets configured to predict PA adoption, affective judgments and behavioral processes of change were the only reliable predictors, although both only have a small number of available studies. There were no reliable predictors of maintenance when compared to PA relapse. The results underscore the importance of individual-level motivation and behavioral regulation in PA change, but also denote critical social variables. These findings, however, are constrained by PA measurement bias and limited studies that employed time-varying covariation between predictor variables and PA.

Effects of Internship Predictors on Successful Field Experience.

ERIC Educational Resources Information Center

Beard, Fred; Morton, Linda

1999-01-01

Finds that a majority of advertising and public-relations interns found their internships successful. Indicates that successful internships depend on predictors given the least attention by school programs: quality of supervision was the most important single predictor variable, followed in importance by organizational practices/policies, positive…

Identifying Catchment-Scale Predictors of Coal Mining Impacts on New Zealand Stream Communities.

PubMed

Clapcott, Joanne E; Goodwin, Eric O; Harding, Jon S

2016-03-01

Coal mining activities can have severe and long-term impacts on freshwater ecosystems. At the individual stream scale, these impacts have been well studied; however, few attempts have been made to determine the predictors of mine impacts at a regional scale. We investigated whether catchment-scale measures of mining impacts could be used to predict biological responses. We collated data from multiple studies and analyzed algae, benthic invertebrate, and fish community data from 186 stream sites, including un-mined streams, and those associated with 620 mines on the West Coast of the South Island, New Zealand. Algal, invertebrate, and fish richness responded to mine impacts and were significantly higher in un-mined compared to mine-impacted streams. Changes in community composition toward more acid- and metal-tolerant species were evident for algae and invertebrates, whereas changes in fish communities were significant and driven by a loss of nonmigratory native species. Consistent catchment-scale predictors of mining activities affecting biota included the time post mining (years), mining density (the number of mines upstream per catchment area), and mining intensity (tons of coal production per catchment area). Mining was associated with a decline in stream biodiversity irrespective of catchment size, and recovery was not evident until at least 30 years after mining activities have ceased. These catchment-scale predictors can provide managers and regulators with practical metrics to focus on management and remediation decisions.

Identifying Catchment-Scale Predictors of Coal Mining Impacts on New Zealand Stream Communities

NASA Astrophysics Data System (ADS)

Clapcott, Joanne E.; Goodwin, Eric O.; Harding, Jon S.

2016-03-01

Coal mining activities can have severe and long-term impacts on freshwater ecosystems. At the individual stream scale, these impacts have been well studied; however, few attempts have been made to determine the predictors of mine impacts at a regional scale. We investigated whether catchment-scale measures of mining impacts could be used to predict biological responses. We collated data from multiple studies and analyzed algae, benthic invertebrate, and fish community data from 186 stream sites, including un-mined streams, and those associated with 620 mines on the West Coast of the South Island, New Zealand. Algal, invertebrate, and fish richness responded to mine impacts and were significantly higher in un-mined compared to mine-impacted streams. Changes in community composition toward more acid- and metal-tolerant species were evident for algae and invertebrates, whereas changes in fish communities were significant and driven by a loss of nonmigratory native species. Consistent catchment-scale predictors of mining activities affecting biota included the time post mining (years), mining density (the number of mines upstream per catchment area), and mining intensity (tons of coal production per catchment area). Mining was associated with a decline in stream biodiversity irrespective of catchment size, and recovery was not evident until at least 30 years after mining activities have ceased. These catchment-scale predictors can provide managers and regulators with practical metrics to focus on management and remediation decisions.

Identifying important nodes by adaptive LeaderRank

NASA Astrophysics Data System (ADS)

Xu, Shuang; Wang, Pei

2017-03-01

Spreading process is a common phenomenon in complex networks. Identifying important nodes in complex networks is of great significance in real-world applications. Based on the spreading process on networks, a lot of measures have been proposed to evaluate the importance of nodes. However, most of the existing measures are appropriate to static networks, which are fragile to topological perturbations. Many real-world complex networks are dynamic rather than static, meaning that the nodes and edges of such networks may change with time, which challenge numerous existing centrality measures. Based on a new weighted mechanism and the newly proposed H-index and LeaderRank (LR), this paper introduces a variant of the LR measure, called adaptive LeaderRank (ALR), which is a new member of the LR-family. Simulations on six real-world networks reveal that the new measure can well balance between prediction accuracy and robustness. More interestingly, the new measure can better adapt to the adjustment or local perturbations of network topologies, as compared with the existing measures. By discussing the detailed properties of the measures from the LR-family, we illustrate that the ALR has its competitive advantages over the other measures. The proposed algorithm enriches the measures to understand complex networks, and may have potential applications in social networks and biological systems.

Predictors of Transience among Homeless Emerging Adults

ERIC Educational Resources Information Center

Ferguson, Kristin M.; Bender, Kimberly; Thompson, Sanna J.

2014-01-01

This study identified predictors of transience among homeless emerging adults in three cities. A total of 601 homeless emerging adults from Los Angeles, Austin, and Denver were recruited using purposive sampling. Ordinary least squares regression results revealed that significant predictors of greater transience include White ethnicity, high…

Combining Methods to Describe Important Marine Habitats for Top Predators: Application to Identify Biological Hotspots in Tropical Waters.

PubMed

Thiers, Laurie; Louzao, Maite; Ridoux, Vincent; Le Corre, Matthieu; Jaquemet, Sébastien; Weimerskirch, Henri

2014-01-01

In tropical waters resources are usually scarce and patchy, and predatory species generally show specific adaptations for foraging. Tropical seabirds often forage in association with sub-surface predators that create feeding opportunities by bringing prey close to the surface, and the birds often aggregate in large multispecific flocks. Here we hypothesize that frigatebirds, a tropical seabird adapted to foraging with low energetic costs, could be a good predictor of the distribution of their associated predatory species, including other seabirds (e.g. boobies, terns) and subsurface predators (e.g., dolphins, tunas). To test this hypothesis, we compared distribution patterns of marine predators in the Mozambique Channel based on a long-term dataset of both vessel- and aerial surveys, as well as tracking data of frigatebirds. By developing species distribution models (SDMs), we identified key marine areas for tropical predators in relation to contemporaneous oceanographic features to investigate multi-species spatial overlap areas and identify predator hotspots in the Mozambique Channel. SDMs reasonably matched observed patterns and both static (e.g. bathymetry) and dynamic (e.g. Chlorophyll a concentration and sea surface temperature) factors were important explaining predator distribution patterns. We found that the distribution of frigatebirds included the distributions of the associated species. The central part of the channel appeared to be the best habitat for the four groups of species considered in this study (frigatebirds, brown terns, boobies and sub-surface predators).

Gastrointestinal symptoms predictors of health-related quality of life in pediatric patients with functional gastrointestinal disorders.

PubMed

Varni, James W; Shulman, Robert J; Self, Mariella M; Nurko, Samuel; Saps, Miguel; Saeed, Shehzad A; Patel, Ashish S; Dark, Chelsea Vaughan; Bendo, Cristiane B; Pohl, John F

2017-04-01

To investigate the patient-reported multidimensional gastrointestinal symptoms predictors of generic health-related quality of life (HRQOL) in pediatric patients with functional gastrointestinal disorders (FGIDs). The Pediatric Quality of Life Inventory™ (PedsQL™) Gastrointestinal Symptoms Scales and PedsQL™ 4.0 Generic Core Scales were completed in a 9-site study by 259 pediatric patients with functional constipation, functional abdominal pain (FAP), or irritable bowel syndrome (IBS). Gastrointestinal Symptoms Scales measuring stomach pain, stomach discomfort when eating, food and drink limits, trouble swallowing, heartburn and reflux, nausea and vomiting, gas and bloating, constipation, blood in poop, and diarrhea were identified as clinically important symptom differentiators from healthy controls based on prior findings, and subsequently tested for bivariate and multivariate linear associations with overall HRQOL. Gastrointestinal symptoms were differentially associated with decreased HRQOL in bivariate analyses for the three FGIDs. In predictive models utilizing hierarchical multiple regression analyses controlling for age, gender, and race/ethnicity, gastrointestinal symptoms differentially accounted for an additional 47, 40, and 60 % of the variance in patient-reported HRQOL for functional constipation, FAP, and IBS, respectively, reflecting large effect sizes. Significant individual gastrointestinal symptoms predictors were identified after controlling for the other gastrointestinal symptoms in the FGID-specific predictive models. Gastrointestinal symptoms represent potentially modifiable predictors of generic HRQOL in pediatric patients with FGIDs. Identifying the condition-specific gastrointestinal symptoms that are the most important predictors from the patient perspective facilitates a patient-centered approach to targeted interventions designed to ameliorate impaired overall HRQOL.

Predictors of BMI Vary along the BMI Range of German Adults - Results of the German National Nutrition Survey II.

PubMed

Moon, Kilson; Krems, Carolin; Heuer, Thorsten; Roth, Alexander; Hoffmann, Ingrid

2017-01-01

The objective of the study was to identify predictors of BMI in German adults by considering the BMI distribution and to determine whether the association between BMI and its predictors varies along the BMI distribution. The sample included 9,214 adults aged 18-80 years from the German National Nutrition Survey II (NVS II). Quantile regression analyses were conducted to examine the association between BMI and the following predictors: age, sports activities, socio-economic status (SES), healthy eating index-NVS II (HEI-NVS II), dietary knowledge, sleeping duration and energy intake as well as status of smoking, partner relationship and self-reported health. Age, SES, self-reported health status, sports activities and energy intake were the strongest predictors of BMI. The important outcome of this study is that the association between BMI and its predictors varies along the BMI distribution. Especially, energy intake, health status and SES were marginally associated with BMI in normal-weight subjects; this relationships became stronger in the range of overweight, and were strongest in the range of obesity. Predictors of BMI and the strength of these associations vary across the BMI distribution in German adults. Consequently, to identify predictors of BMI, the entire BMI distribution should be considered. © 2017 The Author(s) Published by S. Karger GmbH, Freiburg.

Genes Important for Schizosaccharomyces pombe Meiosis Identified Through a Functional Genomics Screen

PubMed Central

Blyth, Julie; Makrantoni, Vasso; Barton, Rachael E.; Spanos, Christos; Rappsilber, Juri; Marston, Adele L.

2018-01-01

Meiosis is a specialized cell division that generates gametes, such as eggs and sperm. Errors in meiosis result in miscarriages and are the leading cause of birth defects; however, the molecular origins of these defects remain unknown. Studies in model organisms are beginning to identify the genes and pathways important for meiosis, but the parts list is still poorly defined. Here we present a comprehensive catalog of genes important for meiosis in the fission yeast, Schizosaccharomyces pombe. Our genome-wide functional screen surveyed all nonessential genes for roles in chromosome segregation and spore formation. Novel genes important at distinct stages of the meiotic chromosome segregation and differentiation program were identified. Preliminary characterization implicated three of these genes in centrosome/spindle pole body, centromere, and cohesion function. Our findings represent a near-complete parts list of genes important for meiosis in fission yeast, providing a valuable resource to advance our molecular understanding of meiosis. PMID:29259000

Predictors of posttreatment drinking outcomes in patients with alcohol dependence.

PubMed

Flórez, Gerardo; Saiz, Pilar A; García-Portilla, Paz; De Cos, Francisco J; Dapía, Sonia; Alvarez, Sandra; Nogueiras, Luis; Bobes, Julio

2015-01-01

This cohort study examined how predictors of alcohol dependence treatment outcomes work together over time by comparing pretreatment and posttreatment predictors. A sample of 274 alcohol-dependent patients was recruited and assessed at baseline, 6 months after treatment initiation (end of the active intervention phase), and 18 months after treatment initiation (end of the 12-month research follow-up phase). At each assessment point, the participants completed a battery of standardized tests [European Addiction Severity Index (EuropASI), Obsessive Compulsive Drinking Scale (OCDS), Alcohol Timeline Followback (TLFB), Fagerström, and International Personality Disorder Examination (IPDE)] that measured symptom severity and consequences; biological markers of alcohol consumption were also tested at each assessment point. A sequential strategy with univariate and multivariate analyses was used to identify how pretreatment and posttreatment predictors influence outcomes up to 1 year after treatment. Pretreatment variables had less predictive power than posttreatment ones. OCDS scores and biological markers of alcohol consumption were the most significant variables for the prediction of posttreatment outcomes. Prior pharmacotherapy treatment and relapse prevention interventions were also associated with posttreatment outcomes. The findings highlight the positive impact of pharmacotherapy during the first 6 months after treatment initiation and of relapse prevention during the first year after treatment and how posttreatment predictors are more important than pretreatment predictors.

Predictors of human rotation.

PubMed

Stochl, Jan; Croudace, Tim

2013-01-01

Why some humans prefer to rotate clockwise rather than anticlockwise is not well understood. This study aims to identify the predictors of the preferred rotation direction in humans. The variables hypothesised to influence rotation preference include handedness, footedness, sex, brain hemisphere lateralisation, and the Coriolis effect (which results from geospatial location on the Earth). An online questionnaire allowed us to analyse data from 1526 respondents in 97 countries. Factor analysis showed that the direction of rotation should be studied separately for local and global movements. Handedness, footedness, and the item hypothesised to measure brain hemisphere lateralisation are predictors of rotation direction for both global and local movements. Sex is a predictor of the direction of global rotation movements but not local ones, and both sexes tend to rotate clockwise. Geospatial location does not predict the preferred direction of rotation. Our study confirms previous findings concerning the influence of handedness, footedness, and sex on human rotation; our study also provides new insight into the underlying structure of human rotation movements and excludes the Coriolis effect as a predictor of rotation.

Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation

PubMed Central

Tsai, Chia-Ti; Hsieh, Chia-Shan; Chang, Sheng-Nan; Chuang, Eric Y.; Ueng, Kwo-Chang; Tsai, Chin-Feng; Lin, Tsung-Hsien; Wu, Cho-Kai; Lee, Jen-Kuang; Lin, Lian-Yu; Wang, Yi-Chih; Yu, Chih-Chieh; Lai, Ling-Ping; Tseng, Chuen-Den; Hwang, Juey-Jen; Chiang, Fu-Tien; Lin, Jiunn-Lee

2016-01-01

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Previous genome-wide association studies had identified single-nucleotide polymorphisms in several genomic regions to be associated with AF. In human genome, copy number variations (CNVs) are known to contribute to disease susceptibility. Using a genome-wide multistage approach to identify AF susceptibility CNVs, we here show a common 4,470-bp diallelic CNV in the first intron of potassium interacting channel 1 gene (KCNIP1) is strongly associated with AF in Taiwanese populations (odds ratio=2.27 for insertion allele; P=6.23 × 10−24). KCNIP1 insertion is associated with higher KCNIP1 mRNA expression. KCNIP1-encoded protein potassium interacting channel 1 (KCHIP1) is physically associated with potassium Kv channels and modulates atrial transient outward current in cardiac myocytes. Overexpression of KCNIP1 results in inducible AF in zebrafish. In conclusions, a common CNV in KCNIP1 gene is a genetic predictor of AF risk possibly pointing to a functional pathway. PMID:26831368

STUDY TO IDENTIFY IMPORTANT PARAMETERS FOR CHARACTERIZING PESTICIDE RESIDUE TRANSFER EFFICIENCIES

EPA Science Inventory

To reduce the uncertainty associated with current estimates of children's exposure to pesticides by dermal contact and non-dietary ingestion, residue transfer data are required. Prior to conducting exhaustive studies, a screening study to identify the important parameters for...

Strategic predictors of performance in a divided attention task

PubMed Central

Faragó, Kinga Bettina; Lőrincz, András

2018-01-01

In this study we investigate the strategies of subjects in a complex divided attention task. We conducted a series of experiments with ten participants and evaluated their performance. After an extensive analysis, we identified four strategic measures that justify the achievement of the participants, by highlighting the individual differences and predicting performance in a regression analysis using generalized estimating equations. Selecting the more urgent task and user action between multiple simultaneous possibilities form two of the strategic decisions, respectively. The third one refers to choosing a response within the same task when the opportunity is present. The fourth and most important measure of strategy involves thinking ahead and executing an action before a situation would become critical. This latter one has the effect of reducing later cognitive load or timing constraints and it is shown to explain almost as much variance in performance as the other three, more straightforward predictors together. In addition to determining these strategic predictors, we also show how manipulating task difficulty induces a shift in strategy, thus impairing human performance in the rehearsed task. The results of this study indicate that considerable differences in the divided attention ability of normal subjects can be identified early and with simple measurements. The importance of describing and analyzing strategies is also emphasized, which can substantially influence performance in complex tasks and may serve training needs. PMID:29621292

Strategic predictors of performance in a divided attention task.

PubMed

Rill, Róbert Adrian; Faragó, Kinga Bettina; Lőrincz, András

2018-01-01

In this study we investigate the strategies of subjects in a complex divided attention task. We conducted a series of experiments with ten participants and evaluated their performance. After an extensive analysis, we identified four strategic measures that justify the achievement of the participants, by highlighting the individual differences and predicting performance in a regression analysis using generalized estimating equations. Selecting the more urgent task and user action between multiple simultaneous possibilities form two of the strategic decisions, respectively. The third one refers to choosing a response within the same task when the opportunity is present. The fourth and most important measure of strategy involves thinking ahead and executing an action before a situation would become critical. This latter one has the effect of reducing later cognitive load or timing constraints and it is shown to explain almost as much variance in performance as the other three, more straightforward predictors together. In addition to determining these strategic predictors, we also show how manipulating task difficulty induces a shift in strategy, thus impairing human performance in the rehearsed task. The results of this study indicate that considerable differences in the divided attention ability of normal subjects can be identified early and with simple measurements. The importance of describing and analyzing strategies is also emphasized, which can substantially influence performance in complex tasks and may serve training needs.

A 1-year lifestyle intervention for weight loss in individuals with type 2 diabetes reduces high C-reactive protein levels and identifies metabolic predictors of change

USDA-ARS?s Scientific Manuscript database

OBJECTIVE: We examined whether a 1-year intensive lifestyle intervention (ILI) for weight loss reduced elevated high-sensitivity C-reactive protein (hs-CRP) levels in obese individuals with diabetes and identified metabolic and fitness predictors of hs-CRP change. RESEARCH DESIGN AND METHODS: Look A...

Predictors of Suicidal Ideation among High School Students by Gender in South Korea

ERIC Educational Resources Information Center

Park, Hyun Sook; Schepp, Karen G.; Jang, Eun Hee; Koo, Hyun Young

2006-01-01

The purpose of this study was to examine the evidence to determine if there are gender differences in suicidal ideation of adolescents. This study examined the main effect of risk factors from 5 domains and protective factors from 1 domain in relation to suicidal ideation by gender and identified the most important predictors of suicidal ideation…

Predictors of BMI Vary along the BMI Range of German Adults – Results of the German National Nutrition Survey II

PubMed Central

Moon, Kilson; Krems, Carolin; Heuer, Thorsten; Roth, Alexander; Hoffmann, Ingrid

2017-01-01

Objective The objective of the study was to identify predictors of BMI in German adults by considering the BMI distribution and to determine whether the association between BMI and its predictors varies along the BMI distribution. Methods The sample included 9,214 adults aged 18–80 years from the German National Nutrition Survey II (NVS II). Quantile regression analyses were conducted to examine the association between BMI and the following predictors: age, sports activities, socio-economic status (SES), healthy eating index-NVS II (HEI-NVS II), dietary knowledge, sleeping duration and energy intake as well as status of smoking, partner relationship and self-reported health. Results Age, SES, self-reported health status, sports activities and energy intake were the strongest predictors of BMI. The important outcome of this study is that the association between BMI and its predictors varies along the BMI distribution. Especially, energy intake, health status and SES were marginally associated with BMI in normal-weight subjects; this relationships became stronger in the range of overweight, and were strongest in the range of obesity. Conclusions Predictors of BMI and the strength of these associations vary across the BMI distribution in German adults. Consequently, to identify predictors of BMI, the entire BMI distribution should be considered. PMID:28219069

Identifying Cognitive and Interpersonal Predictors of Adolescent Depression

PubMed Central

Auerbach, Randy P.; Ho, Moon Ho-Ringo; Kim, Judy C.

2014-01-01

Emerging research has begun to examine cognitive and interpersonal predictors of stress and subsequent depression in adolescents. This research is critical as cognitive and interpersonal vulnerability factors likely shape expectations, perspectives, and interpretations of a given situation prior to the onset of a stressor. In the current study, adolescents (n=157; boys=64, girls=93), ages 12 to 18, participated in a 6-month, multi-wave longitudinal study examining the impact of negative cognitive style, self-criticism, and dependency on stress and depression. Results of time-lagged, idiographic multilevel analyses indicate that depressogenic attributional styles (i.e., composite score and weakest link approach) and self-criticism predict dependent interpersonal, but not noninterpersonal stress. Moreover, the occurrence of stress mediates the relationship between cognitive vulnerability and depressive symptoms over time. At the same time, self-criticism predicts above and beyond depressogenic attributional styles (i.e., composite and weakest link approach). In contrast to our hypotheses, dependency does not contribute to the occurrence of stress, and additionally, no gender differences emerge. Taken together, the findings suggest that self-criticism may be a particularly damaging vulnerability factor in adolescence, and moreover, it may warrant greater attention in the context of psychotherapeutic interventions. PMID:24398789

[Predictors of cardiac arrhythmias in patients with arterial hypertension during exercise stress testing].

PubMed

Kolesnik, M Iu; Sokolova, M V

2014-02-01

Arterial hypertension is an important risk factor for atrial and ventricular arrhythmias. 203 male patients were examined in order to identify predictors of cardiac arrhythmias in patients with arterial hypertension during exercise stress testing. All participants were studied by 24-hour ambulatory blood pressure monitoring, transthoracic echocardiography, an ultrasound scan of the carotid arteries and treadmill test. 47,3% of patients presented cardiac arrhythmias during exercise stress testing. The left ventricular mass, diastolic function and carotid intima-media thickness were found to be independent predictors of exercise-induced arrhythmias. The use of the exercise stress testing may be reasonable for additional risk stratification in hypertensive patients.

A Cluster Analytic Approach to Identifying Predictors and Moderators of Psychosocial Treatment for Bipolar Depression: Results from STEP-BD

PubMed Central

Deckersbach, Thilo; Peters, Amy T.; Sylvia, Louisa G.; Gold, Alexandra K.; da Silva Magalhaes, Pedro Vieira; Henry, David B.; Frank, Ellen; Otto, Michael W.; Berk, Michael; Dougherty, Darin D.; Nierenberg, Andrew A.; Miklowitz, David J.

2016-01-01

Background We sought to address how predictors and moderators of psychotherapy for bipolar depression – identified individually in prior analyses – can inform the development of a metric for prospectively classifying treatment outcome in intensive psychotherapy (IP) versus collaborative care (CC) adjunctive to pharmacotherapy in the Systematic Treatment Enhancement Program (STEP-BD) study. Methods We conducted post-hoc analyses on 135 STEP-BD participants using cluster analysis to identify subsets of participants with similar clinical profiles and investigated this combined metric as a moderator and predictor of response to IP. We used agglomerative hierarchical cluster analyses and k-means clustering to determine the content of the clinical profiles. Logistic regression and Cox proportional hazard models were used to evaluate whether the resulting clusters predicted or moderated likelihood of recovery or time until recovery. Results The cluster analysis yielded a two-cluster solution: 1) “less-recurrent/severe” and 2) “chronic/recurrent.” Rates of recovery in IP were similar for less-recurrent/severe and chronic/recurrent participants. Less-recurrent/severe patients were more likely than chronic/recurrent patients to achieve recovery in CC (p = .040, OR = 4.56). IP yielded a faster recovery for chronic/recurrent participants, whereas CC led to recovery sooner in the less-recurrent/severe cluster (p = .034, OR = 2.62). Limitations Cluster analyses require list-wise deletion of cases with missing data so we were unable to conduct analyses on all STEP-BD participants. Conclusions A well-powered, parametric approach can distinguish patients based on illness history and provide clinicians with symptom profiles of patients that confer differential prognosis in CC vs. IP. PMID:27289316

Two-Year Predictors of Runaway and Homeless Episodes Following Shelter Services among Substance Abusing Adolescents

PubMed Central

Slesnick, Natasha; Guo, Xiamei; Brakenhoff, Brittany; Feng, Xin

2013-01-01

Given high levels of health and psychological costs associated with the family disruption of homelessness, identifying predictors of runaway and homeless episodes is an important goal. The current study followed 179 substance abusing, shelter-recruited adolescents who participated in a randomized clinical trial. Predictors of runaway and homeless episodes were examined over a two year period. Results from the hierarchical linear modeling analysis showed that family cohesion and substance use, but not family conflict or depressive symptoms, delinquency, or school enrollment predicted future runaway and homeless episodes. Findings suggest that increasing family support, care and connection and reducing substance use are important targets of intervention efforts in preventing future runaway and homeless episodes amongst a high risk sample of adolescents. PMID:24011094

Childhood Depression: Relation to Adaptive, Clinical and Predictor Variables

PubMed Central

Garaigordobil, Maite; Bernarás, Elena; Jaureguizar, Joana; Machimbarrena, Juan M.

2017-01-01

The study had two goals: (1) to explore the relations between self-assessed childhood depression and other adaptive and clinical variables (2) to identify predictor variables of childhood depression. Participants were 420 students aged 7–10 years old (53.3% boys, 46.7% girls). Results revealed: (1) positive correlations between depression and clinical maladjustment, school maladjustment, emotional symptoms, internalizing and externalizing problems, problem behaviors, emotional reactivity, and childhood stress; and (2) negative correlations between depression and personal adaptation, global self-concept, social skills, and resilience (sense of competence and affiliation). Linear regression analysis including the global dimensions revealed 4 predictors of childhood depression that explained 50.6% of the variance: high clinical maladjustment, low global self-concept, high level of stress, and poor social skills. However, upon introducing the sub-dimensions, 9 predictor variables emerged that explained 56.4% of the variance: many internalizing problems, low family self-concept, high anxiety, low responsibility, low personal self-assessment, high social stress, few aggressive behaviors toward peers, many health/psychosomatic problems, and external locus of control. The discussion addresses the importance of implementing prevention programs for childhood depression at early ages. PMID:28572787

Predictors of mental health in female teachers.

PubMed

Seibt, Reingard; Spitzer, Silvia; Druschke, Diana; Scheuch, Klaus; Hinz, Andreas

2013-12-01

Teaching profession is characterised by an above-average rate of psychosomatic and mental health impairment due to work-related stress. The aim of the study was to identify predictors of mental health in female teachers. A sample of 630 female teachers (average age 47 ± 7 years) participated in a screening diagnostic inventory. Mental health was surveyed with the General Health Questionnaire GHQ-12. The following parameters were measured: specific work conditions (teacher-specific occupational history), scales of the Effort-Reward-Imbalance (ERI) Questionnaire as well as cardiovascular risk factors, physical complaints (BFB) and personal factors such as inability to recover (FABA), sense of coherence (SOC) and health behaviour. First, mentally fit (MH(+)) and mentally impaired teachers (MH(-)) were differentiated based on the GHQ-12 sum score (MH(+): < 5; MH(-): ≥ 5); 18% of the teachers showed evidence of mental impairment. There were no differences concerning work-related and cardiovascular risk factors as well as health behaviour between MH(+) and MH(-). Binary logistic regressions identified 4 predictors that showed a significant effect on mental health. The effort-reward-ratio proved to be the most relevant predictor, while physical complaints as well as inability to recover and sense of coherence were identified as advanced predictors (explanation of variance: 23%). Contrary to the expectations, classic work-related factors can hardly contribute to the explanation of mental health. Additionally, cardiovascular risk factors and health behaviour have no relevant influence. However, effort-reward-ratio, physical complaints and personal factors are of considerable influence on mental health in teachers. These relevant predictors should become a part of preventive arrangements for the conservation of teachers' health in the future.

Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis.

PubMed

Zador, Zsolt; Sperrin, Matthew; King, Andrew T

2016-01-01

Traumatic brain injury remains a global health problem. Understanding the relative importance of outcome predictors helps optimize our treatment strategies by informing assessment protocols, clinical decisions and trial designs. In this study we establish importance ranking for outcome predictors based on receiver operating indices to identify key predictors of outcome and create simple predictive models. We then explore the associations between key outcome predictors using Bayesian networks to gain further insight into predictor importance. We analyzed the corticosteroid randomization after significant head injury (CRASH) trial database of 10008 patients and included patients for whom demographics, injury characteristics, computer tomography (CT) findings and Glasgow Outcome Scale (GCS) were recorded (total of 13 predictors, which would be available to clinicians within a few hours following the injury in 6945 patients). Predictions of clinical outcome (death or severe disability at 6 months) were performed using logistic regression models with 5-fold cross validation. Predictive performance was measured using standardized partial area (pAUC) under the receiver operating curve (ROC) and we used Delong test for comparisons. Variable importance ranking was based on pAUC targeted at specificity (pAUCSP) and sensitivity (pAUCSE) intervals of 90-100%. Probabilistic associations were depicted using Bayesian networks. Complete AUC analysis showed very good predictive power (AUC = 0.8237, 95% CI: 0.8138-0.8336) for the complete model. Specificity focused importance ranking highlighted age, pupillary, motor responses, obliteration of basal cisterns/3rd ventricle and midline shift. Interestingly when targeting model sensitivity, the highest-ranking variables were age, severe extracranial injury, verbal response, hematoma on CT and motor response. Simplified models, which included only these key predictors, had similar performance (pAUCSP = 0.6523, 95% CI: 0.6402-0.6641 and

Normative data and predictors of leg muscle function and postural control in children.

PubMed

Hazell, Tom J; Sharma, Atul K; Vanstone, Catherine A; Gagnon, Isabelle; Pham, Thu Trang; Finch, Sarah L; Weiler, Hope A; Rodd, Celia J

2014-11-01

At the present there are limited tools available to measure muscle function in young children. Ground reaction force plates measure lower-body function and postural control in older children and adults. The purpose of this study was threefold: 1) develop normative data for evaluating global muscle development; 2) determine the reproducibility of ground reaction force plates for assessing muscle function in preschool-age children; and 3) identify predictors of skeletal muscle function. Children's (n = 81, 1.8 to 6.0 yr; M = 52%) muscle function and postural control was measured for jump (JMP), sit-to-stand (STS), and both undistracted and distracted body sway tests using a ground reaction force plate (Kistler 9200A). Whole body composition used dual-energy x-ray absorptiometry (Hologic 4500A Discovery Series). Plasma 25-hydroxyvitamin D [25(OH)D] and parathyroid hormone concentrations were measured by chemiluminescence (Liaison, Diasorin, Mississauga, ON, Canada) as well as ionized calcium (ABL80 FLEX, Radiometer Medical A/S). Demographics, and anthropometry were collected. ANOVA and linear regression were used to identify predictors. Reproducibility was assessed by intersubject coefficient of variation. Age was a consistent predictor in all models; body size or fat and lean mass were important predictors in 3 of the models - STS peak force, STS peak power, and JMP peak power. STS was the most reproducible maneuver (average coefficient of variation =15.7%). Distracted body sway testing was not appropriate in these youngsters. The novel data presented in this study demonstrate a clear age (developmental) effect without any effect of sex on muscle function and postural control in young children. Lean muscle mass was important in some models (STS peak force and JMP peak power). The STS test was the best of the 4 maneuvers.

Therapist Effects on and Predictors of Non-Consensual Dropout in Psychotherapy.

PubMed

Zimmermann, Dirk; Rubel, Julian; Page, Andrew C; Lutz, Wolfgang

2017-03-01

Whereas therapist effects on outcome have been a research topic for several years, the influence of therapists on premature treatment termination (dropout) has hardly been investigated. Since dropout is common during psychological treatment, and its occurrence has important implications for both the individual patient and the healthcare system, it is important to identify the factors associated with it. Participants included 707 patients in outpatient psychotherapy treated by 66 therapists. Multilevel logistic regression models for dichotomous data were used to estimate the impact of therapists on patient dropout. Additionally, sociodemographic variables, symptoms, personality style and treatment expectations were investigated as potential predictors. It was found that 5.7% of variance in dropout could be attributed to therapists. The therapist's effect remained significant after controlling for patient's initial impairment. Furthermore, initial impairment was a predictor of premature termination. Other significant predictors of dropout on a patient level were male sex, lower education status, more histrionic and less compulsive personality style and negative treatment expectations. The findings indicate that differences between therapists influence the likelihood of dropout in outpatient psychotherapy. Further research should focus on variables, which have the potential to explain these inter-individual differences between therapists (e.g., therapist's experience or self-efficacy). Copyright © 2016 John Wiley & Sons, Ltd. There are substantial differences between therapists concerning their average dropout rates. At the patient level, higher initial impairment, male sex, lower education, less compulsive personality style, more histrionic personality style and low treatment expectations seem to be risk factors of non-consensual treatment termination. Psychometric feedback during the course of treatment should be used to identify patients who are at risk for

Self-Perceptions of Sexual Attractiveness: Satisfaction With Physical Appearance is Not of Primary Importance Across Gender and Sexual Orientation.

PubMed

Amos, Natalie; McCabe, Marita P

2016-01-01

Research on self-perceived sexual attractiveness has predominantly focused on the importance of physical appearance, overlooking nonphysical traits that may contribute to these self-perceptions. The present study examined and compared the importance of a variety of traits for self-perceived sexual attractiveness. Self-identified heterosexual, gay, and bisexual men (N = 1,801) and heterosexual, lesbian, and bisexual women (N = 1,092) completed an online questionnaire examining self-perceived sexual attractiveness, body esteem, sexual esteem, adherence to gender norms, and sexual experience. Body esteem and sexual esteem were significant predictors of self-perceived sexual attractiveness, regardless of gender and sexual orientation. Adhering to a masculine gender norm was a significant predictor among all groups (to varying extents) but heterosexual women. Adhering to a feminine gender norm was a significant predictor among heterosexual men and bisexual women. Finally, sexual experience was a significant predictor for all men and bisexual women. Furthermore, while body esteem was a predictor across all groups, for most individuals it did not appear to be of primary importance, with either sexual esteem or masculinity proving to be of greater importance. These findings suggest the need to consider traits related to both physical and nonphysical factors for improving an individual's self-perceived sexual attractiveness.

Predictors of adalimumab drug survival in psoriasis differ by reason for discontinuation: long-term results from the Bio-CAPTURE registry.

PubMed

van den Reek, J M P A; Tummers, M; Zweegers, J; Seyger, M M B; van Lümig, P P M; Driessen, R J B; van de Kerkhof, P C M; Kievit, W; de Jong, E M G J

2015-03-01

Drug survival is an indicator for treatment success; insight in predictors associated with drug survival is important. To analyse the long-term drug survival for adalimumab in patients with psoriasis treated in daily practice and (II) to identify predictors of prolonged drug survival for adalimumab split for different reasons of discontinuation. Data were extracted from a prospective psoriasis cohort and analysed using Kaplan-Meier survival curves split for reasons of discontinuation. Baseline predictors associated with longer drug survival were identified using multivariate Cox-regression analysis. One hundred and sixteen patients were included with a total of 208 patient-years. Overall drug survival was 76% after 1 year and 52% after 4.5 years. In patients who stopped due to ineffectiveness, longer drug survival was associated with the absence of specific comorbidities (P = 0.03). In patients who stopped due to side-effects, longer drug survival was associated with male gender (P = 0.02). Predictors of adalimumab drug survival in psoriasis differ by reason for discontinuation. Strong, specific predictors can lead to patient-tailored treatment. © 2014 European Academy of Dermatology and Venereology.

Predictors of perceived asthma control among patients managed in primary care clinics.

PubMed

Eilayyan, Owis; Gogovor, Amede; Mayo, Nancy; Ernst, Pierre; Ahmed, Sara

2015-01-01

To estimate the extent to which symptom status, physical activity, beliefs about medications, self-efficacy, emotional status, and healthcare utilization predict perceived asthma control over a period of 16 months among a primary care population. The current study is a secondary analysis of data from a longitudinal study that examined health outcomes of asthma among participants recruited from primary care clinics. Path analysis, based on the Wilson and Cleary and International Classification of Functioning, Disability and Health frameworks, was used to estimate the predictors of perceived asthma control. The path analysis identified initial perceived asthma control asthma (β = 0.43, p < 0.0001), symptoms (β = 0.35, p < 0.0001), physical activity (β = 0.27, p < 0.0001), and self-efficacy (β = 0.29, p < 0.0001) as significant predictors of perceived asthma control (total effects, i.e., direct and indirect), while emotional status (β = 0.08, p = 0.03) was a significant indirect predictor through physical activity. The model explained 24 % of the variance of perceived asthma control. Overall, the model fits the data well (χ (2) = 6.65, df = 6, p value = 0.35, root-mean-square error of approximation = 0.02, Comparative Fit Index = 0.999, and weighted root-mean-square residual = 0.27). Initial perceived asthma control, current symptoms status, physical activity, and self-efficacy can be used to identify individuals likely to have good perceived asthma control in the future. Emotional status also has an impact on perceived asthma control mediated through physical activity and should be considered when planning patient management. Identifying these predictors is important to help the care team tailor interventions that will allow individuals to optimally manage their asthma, to prevent exacerbations, to prevent other respiratory-related chronic disease, and to maximize quality of life.

Identifying Outcomes that Are Important to Living Kidney Donors: A Nominal Group Technique Study.

PubMed

Hanson, Camilla S; Chapman, Jeremy R; Gill, John S; Kanellis, John; Wong, Germaine; Craig, Jonathan C; Teixeira-Pinto, Armando; Chadban, Steve J; Garg, Amit X; Ralph, Angelique F; Pinter, Jule; Lewis, Joshua R; Tong, Allison

2018-06-07

Living kidney donor candidates accept a range of risks and benefits when they decide to proceed with nephrectomy. Informed consent around this decision assumes they receive reliable data about outcomes they regard as critical to their decision making. We identified the outcomes most important to living kidney donors and described the reasons for their choices. Previous donors were purposively sampled from three transplant units in Australia (Sydney and Melbourne) and Canada (Vancouver). In focus groups using the nominal group technique, participants identified outcomes of donation, ranked them in order of importance, and discussed the reasons for their preferences. An importance score was calculated for each outcome. Qualitative data were analyzed thematically. Across 14 groups, 123 donors aged 27-78 years identified 35 outcomes. Across all participants, the ten highest ranked outcomes were kidney function (importance=0.40, scale 0-1), time to recovery (0.27), surgical complications (0.24), effect on family (0.22), donor-recipient relationship (0.21), life satisfaction (0.18), lifestyle restrictions (0.18), kidney failure (0.14), mortality (0.13), and acute pain/discomfort (0.12). Kidney function and kidney failure were more important to Canadian participants, compared with Australian donors. The themes identified included worthwhile sacrifice, insignificance of risks and harms, confidence and empowerment, unfulfilled expectations, and heightened susceptibility. Living kidney donors prioritized a range of outcomes, with the most important being kidney health and the surgical, lifestyle, functional, and psychosocial effects of donation. Donors also valued improvements to their family life and donor-recipient relationship. There were clear regional differences in the rankings. Copyright © 2018 by the American Society of Nephrology.

Poor preoperative nutritional status is an important predictor of the retardation of rehabilitation after cardiac surgery in elderly cardiac patients.

PubMed

Ogawa, Masato; Izawa, Kazuhiro P; Satomi-Kobayashi, Seimi; Kitamura, Aki; Ono, Rei; Sakai, Yoshitada; Okita, Yutaka

2017-04-01

Preoperative nutritional status and physical function are important predictors of mortality and morbidity after cardiac surgery. However, the influence of nutritional status before cardiac surgery on physical function and the progress of postoperative rehabilitation requires clarification. To determine the effect of preoperative nutritional status on preoperative physical function and progress of rehabilitation after elective cardiac surgery. We enrolled 131 elderly patients with mean age of 73.7 ± 5.8 years undergoing cardiac surgery. We divided them into two groups by nutritional status as measured by the Geriatric Nutritional Risk Index (GNRI): high GNRI group (GNRI ≥ 92, n = 106) and low GNRI group (GNRI < 92, n = 25). Physical function was estimated by handgrip strength, knee extensor muscle strength (KEMS), the Short Physical Performance Battery (SPPB), and 6-minute walk test (6MWT). Progress of postoperative rehabilitation was evaluated by the number of days to independent walking after surgery, length of stay in the ICU, and length of hospital stay. After adjusting for potential confounding factors, preoperative handgrip strength (P = 0.034), KEMS (P = 0.009), SPPB (P < 0.0001), and 6MWT (P = 0.012) were all significantly better in the high GNRI group. Multiple regression analysis revealed that a low GNRI was an independent predictor of the retardation of postoperative rehabilitation. Preoperative nutritional status as assessed by the GNRI could reflect perioperative physical function. Preoperative poor nutritional status may be an independent predictor of the retardation of postoperative rehabilitation in patients undergoing elective cardiac surgery.

Sex-specific predictors of inpatient rehabilitation outcomes after traumatic brain injury

PubMed Central

Chan, Vincy; Mollayeva, Tatyana; Ottenbacher, Kenneth J.; Colantonio, Angela

2016-01-01

Objective To identify sex-specific predictors of inpatient rehabilitation outcomes among patients with a traumatic brain injury (TBI) from a population based perspective. Design Retrospective cohort study Setting Ontario, Canada Participants Patients in inpatient rehabilitation for a TBI within one year of acute care discharge between 2008/09 and 2011/12 (N=1,730, 70% male, 30% female). Interventions None Main Outcome Measures Inpatient rehabilitation length of stay, total Functional Independence Measure (FIM™) score, and motor and cognitive FIM™ ratings at discharge. Results Sex, as a covariate in multivariable linear regression models, was not a significant predictor of rehabilitation outcomes. While many of the predictors examined were similar across males and females, sex-specific multivariable models identified some predictors of rehabilitation outcome that are specific for males and females; mechanism of injury (p<.0001) was a significant predictor of functional outcome only among females while comorbidities (p<.0001) was a significant predictor for males only. Conclusions Predictors of outcomes after inpatient rehabilitation differed by sex, providing evidence for a sex-specific approach in planning and resource allocation for inpatient rehabilitation services for patients with TBI. PMID:26836952

Sex-Specific Predictors of Inpatient Rehabilitation Outcomes After Traumatic Brain Injury.

PubMed

Chan, Vincy; Mollayeva, Tatyana; Ottenbacher, Kenneth J; Colantonio, Angela

2016-05-01

To identify sex-specific predictors of inpatient rehabilitation outcomes among patients with a traumatic brain injury (TBI) from a population-based perspective. Retrospective cohort study. Inpatient rehabilitation. Patients in inpatient rehabilitation for a TBI within 1 year of acute care discharge between 2008/2009 and 2011/2012 (N=1730, 70% men, 30% women). None. Inpatient rehabilitation length of stay, total FIM score, and motor and cognitive FIM ratings at discharge. Sex, as a covariate in multivariable linear regression models, was not a significant predictor of rehabilitation outcomes. Although many of the predictors examined were similar across men and women, sex-specific multivariable models identified some predictors of rehabilitation outcome that are specific for men and women; mechanism of injury (P<.0001) was a significant predictor of functional outcome only among women, whereas comorbidities (P<.0001) was a significant predictor for men only. Predictors of outcomes after inpatient rehabilitation differed by sex, providing evidence for a sex-specific approach in planning and resource allocation for inpatient rehabilitation services for patients with TBI. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Predictors of depressive symptoms in older Japanese primiparas at 1 month post-partum: A risk-stratified analysis.

PubMed

Iwata, Hiroko; Mori, Emi; Tsuchiya, Miyako; Sakajo, Akiko; Maehara, Kunie; Ozawa, Harumi; Morita, Akiko; Maekawa, Tomoko; Aoki, Kyoko; Tamakoshi, Koji

2016-01-01

Older maternal age has become more common in Japan. Studies suggest that older maternal age and primiparity are associated with post-partum depression. The present study aimed to identify predictors of post-partum depression in older Japanese primiparas at 1 month post-partum. Participants were 479 primiparas aged 35 years and over, drawn from a prospective cohort study. Data were collected using self-report questionnaires. Depression was measured with the Japanese version of the Edinburgh Postnatal Depression Scale. Stepwise logistic regression analysis was conducted on binary outcome variables of depression at 1 month post-partum, along with a stratified analysis based on the risk status of depression. Five predictors were identified: (i) the depression score during hospital stay; (ii) financial burden; (iii) dissatisfaction with appraisal support; (iv) physical burden in daily life; and (v) concerns about infant caretaking. Stratified analysis identified dissatisfaction with instrumental support in the low-risk group, and the Child-care Value Scale score as unique predictors in the high-risk group. These results highlight the importance of early assessment of depressive symptoms and the provision of continuous care. © 2015 Japan Academy of Nursing Science.

A Systematic Review and Meta-Analysis of Predictors of Expressive-Language Outcomes Among Late Talkers.

PubMed

Fisher, Evelyn L

2017-10-17

The purpose of this study was to explore the literature on predictors of outcomes among late talkers using systematic review and meta-analysis methods. We sought to answer the question: What factors predict preschool-age expressive-language outcomes among late-talking toddlers? We entered carefully selected search terms into the following electronic databases: Communication & Mass Media Complete, ERIC, Medline, PsycEXTRA, Psychological and Behavioral Sciences, and PsycINFO. We conducted a separate, random-effects model meta-analysis for each individual predictor that was used in a minimum of 5 studies. We also tested potential moderators of the relationship between predictors and outcomes using metaregression and subgroup analysis. Last, we conducted publication-bias and sensitivity analyses. We identified 20 samples, comprising 2,134 children, in a systematic review. According to the results of the meta-analyses, significant predictors of expressive-language outcomes included toddlerhood expressive-vocabulary size, receptive language, and socioeconomic status. Nonsignificant predictors included phrase speech, gender, and family history. To our knowledge this is the first synthesis of the literature on predictors of outcomes among late talkers using meta-analysis. Our findings clarify the contributions of several constructs to outcomes and highlight the importance of early receptive language to expressive-language development. https://doi.org/10.23641/asha.5313454.

What variables are important in predicting bovine viral diarrhea virus? A random forest approach.

PubMed

Machado, Gustavo; Mendoza, Mariana Recamonde; Corbellini, Luis Gustavo

2015-07-24

Bovine viral diarrhea virus (BVDV) causes one of the most economically important diseases in cattle, and the virus is found worldwide. A better understanding of the disease associated factors is a crucial step towards the definition of strategies for control and eradication. In this study we trained a random forest (RF) prediction model and performed variable importance analysis to identify factors associated with BVDV occurrence. In addition, we assessed the influence of features selection on RF performance and evaluated its predictive power relative to other popular classifiers and to logistic regression. We found that RF classification model resulted in an average error rate of 32.03% for the negative class (negative for BVDV) and 36.78% for the positive class (positive for BVDV).The RF model presented area under the ROC curve equal to 0.702. Variable importance analysis revealed that important predictors of BVDV occurrence were: a) who inseminates the animals, b) number of neighboring farms that have cattle and c) rectal palpation performed routinely. Our results suggest that the use of machine learning algorithms, especially RF, is a promising methodology for the analysis of cross-sectional studies, presenting a satisfactory predictive power and the ability to identify predictors that represent potential risk factors for BVDV investigation. We examined classical predictors and found some new and hard to control practices that may lead to the spread of this disease within and among farms, mainly regarding poor or neglected reproduction management, which should be considered for disease control and eradication.

Elucidation of the Strongest Predictors of Cardiovascular Events in Patients with Heart Failure.

PubMed

Fukuda, Hiroki; Shindo, Kazuhiro; Sakamoto, Mari; Ide, Tomomi; Kinugawa, Shintaro; Fukushima, Arata; Tsutsui, Hiroyuki; Ito, Shin; Ishii, Akira; Washio, Takashi; Kitakaze, Masafumi

2018-06-20

In previous retrospective studies, we identified the 50 most influential clinical predictors of cardiovascular outcomes in patients with heart failure (HF). The present study aimed to use the novel limitless-arity multiple-testing procedure to filter these 50 clinical factors and thus yield combinations of no more than four factors that could potentially predict the onset of cardiovascular events. A Kaplan-Meier analysis was used to investigate the importance of the combinations. In a multi-centre observational trial, we prospectively enrolled 213 patients with HF who were hospitalized because of exacerbation, discharged according to HF treatment guidelines and observed to monitor cardiovascular events. After the observation period, we stratified patients according to whether they experienced cardiovascular events (rehospitalisation or cardiovascular death). Among 77,562 combinations of fewer than five clinical parameters, we identified 151 combinations that could potentially explain the occurrence of cardiovascular events. Of these, 145 combinations included the use of inotropic agents, whereas the remaining 6 included the use of diuretics without bradycardia or tachycardia, suggesting that the high probability of cardiovascular events is exclusively determined by these two clinical factors. Importantly, Kaplan-Meier curves demonstrated that the use of inotropes or of diuretics without bradycardia or tachycardia were independent predictors of a markedly worse cardiovascular prognosis. Patients treated with either inotropic agents or diuretics without bradycardia or tachycardia were at a higher risk of cardiovascular events. The uses of these drugs, regardless of heart rate, are the strongest clinical predictors of cardiovascular events in patients with HF. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Predictors of temporary and permanent work disability in patients with inflammatory bowel disease: results of the swiss inflammatory bowel disease cohort study.

PubMed

Siebert, Uwe; Wurm, Johannes; Gothe, Raffaella Matteucci; Arvandi, Marjan; Vavricka, Stephan R; von Känel, Roland; Begré, Stefan; Sulz, Michael C; Meyenberger, Christa; Sagmeister, Markus

2013-01-01

Inflammatory bowel disease can decrease the quality of life and induce work disability. We sought to (1) identify and quantify the predictors of disease-specific work disability in patients with inflammatory bowel disease and (2) assess the suitability of using cross-sectional data to predict future outcomes, using the Swiss Inflammatory Bowel Disease Cohort Study data. A total of 1187 patients were enrolled and followed up for an average of 13 months. Predictors included patient and disease characteristics and drug utilization. Potential predictors were identified through an expert panel and published literature. We estimated adjusted effect estimates with 95% confidence intervals using logistic and zero-inflated Poisson regression. Overall, 699 (58.9%) experienced Crohn's disease and 488 (41.1%) had ulcerative colitis. Most important predictors for temporary work disability in patients with Crohn's disease included gender, disease duration, disease activity, C-reactive protein level, smoking, depressive symptoms, fistulas, extraintestinal manifestations, and the use of immunosuppressants/steroids. Temporary work disability in patients with ulcerative colitis was associated with age, disease duration, disease activity, and the use of steroids/antibiotics. In all patients, disease activity emerged as the only predictor of permanent work disability. Comparing data at enrollment versus follow-up yielded substantial differences regarding disability and predictors, with follow-up data showing greater predictor effects. We identified predictors of work disability in patients with Crohn's disease and ulcerative colitis. Our findings can help in forecasting these disease courses and guide the choice of appropriate measures to prevent adverse outcomes. Comparing cross-sectional and longitudinal data showed that the conduction of cohort studies is inevitable for the examination of disability.

Predictors in use of mental health resources: The role of behaviour problems in patients with severe mental illness.

PubMed

Bellido-Zanin, Gloria; Vázquez-Morejón, Antonio J; Martín-Rodríguez, Agustín; Pérez-San-Gregorio, Maria Ángeles

2017-09-01

In recent years, more variables are being included in the use of mental health resource prediction models. Some studies have shown that how well the patient can function is important for this prediction. However, the relevance of a variable as important as behaviour problems has scarcely been explored. This study attempted to evaluate the effect of behaviour problems in patients with severe mental illness on the use of mental health resources. A total of 185 patients at a Community Mental Health Unit were evaluated using the Behaviour Problem Inventory. Later, a bivariate logistic regression was done to identify what behaviour problems could be specific predictors of use of mental health resources. The results showed that the general index of behaviour problems predicts both use of hospitalization resources and outpatient attention. Underactivity/social withdrawal is the best predictor of all the different areas. These results confirm the role of behaviour problems as predictors of the use of mental health resources in individuals with a severe mental illness.

Identifying psychosocial predictors of medication non-adherence following acute coronary syndrome: A systematic review and meta-analysis.

PubMed

Crawshaw, Jacob; Auyeung, Vivian; Norton, Sam; Weinman, John

2016-11-01

Medication non-adherence following acute coronary syndrome (ACS) is associated with poor clinical outcomes. A systematic review and meta-analysis were undertaken to identify psychosocial factors associated with medication adherence in patients with ACS. A search of electronic databases (Cochrane Library, Medline, EMBASE, PsycINFO, Web of Science, International Pharmaceutical Abstracts, CINAHL, ASSIA, OpenGrey, EthOS and WorldCat) was undertaken to identify relevant articles published in English between 2000 and 2014. Articles were screened against our inclusion criteria and data on study design, sample characteristics, predictors, outcomes, analyses, key findings and study limitations were abstracted. Our search identified 3609 records, of which 17 articles met our inclusion criteria (15 independent studies). Eight out of ten studies found an association between depression and non-adherence. A meta-analysis revealed that depressed patients were twice as likely to be non-adherent compared to patients without depression (OR=2.00, 95% CI 1.57-3.33, p=0.015). Type D personality was found to predict non-adherence in both studies in which it was measured. Three out of three studies reported that treatment beliefs based on the Necessity-Concerns Framework predicted medication non-adherence and there was some evidence that social support was associated with better adherence. There was insufficient data to meta-analyse all other psychosocial factors identified. There was some evidence that psychosocial factors, particularly depression, were associated with medication adherence following ACS. Targeting depressive symptoms, screening for Type D personality, challenging maladaptive treatment beliefs, and providing better social support for patients may be useful strategies to improve medication adherence. Crown Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Two-year predictors of runaway and homeless episodes following shelter services among substance abusing adolescents.

PubMed

Slesnick, Natasha; Guo, Xiamei; Brakenhoff, Brittany; Feng, Xin

2013-10-01

Given high levels of health and psychological costs associated with the family disruption of homelessness, identifying predictors of runaway and homeless episodes is an important goal. The current study followed 179 substance abusing, shelter-recruited adolescents who participated in a randomized clinical trial. Predictors of runaway and homeless episodes were examined over a two year period. Results from the hierarchical linear modeling analysis showed that family cohesion and substance use, but not family conflict or depressive symptoms, delinquency, or school enrollment predicted future runaway and homeless episodes. Findings suggest that increasing family support, care and connection and reducing substance use are important targets of intervention efforts in preventing future runaway and homeless episodes amongst a high risk sample of adolescents. Copyright © 2013 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Can You Hack It? Validating Predictors for IT Boot Camps

NASA Astrophysics Data System (ADS)

Gear, Courtney C.

Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy scores and the logic test score as a predictor. Exploratory analyses indicated a Dunning-Kruger effect where students with lower education levels experience higher overall mood during the training program. Limitations of the study included small sample size, severe range restriction in predictor scores, lack of variance in predictor scores, and low variability in training program success. These limitations made identifying jumps between training stages difficult to identify. By identifying which predictors matter most for each stage of skill acquisition, further research should consider more objective variables such as instructor scores which can serve as a guideline to better asses what stage learners join at and how to design curriculum and assignments accordingly (Honken, 2013).

Prediction of fruit and vegetable intake: The importance of contextualizing motivation.

PubMed

Evans, Rachel; Kawabata, Masato; Thomas, Shirley

2015-09-01

Motivation is identified as a key antecedent of self-regulated behaviour, such as eating fruit and vegetables. However, inaccurate measurement of this construct may lead to poor prediction of behaviour and inflate the impact of post-motivational factors, such as planning, in models of health behaviour. This study explored the properties of a newly identified measure of motivation, termed behavioural resolve (Rhodes & Horne, 2013, Psychol. Sport Exerc., 14, 455-460), in relation to intention, planning, and fruit and vegetable intake (FVI). Prospective self-report survey. University students living in the United Kingdom completed two online surveys. The first assessed demographic and predictor variables (intention, behavioural resolve, action planning, and coping planning). The second, completed approximately 2 weeks later, measured average daily FVI and perceived experience of obstacles to FVI. At Time 1, there were 195 respondents, with 139 providing follow-up data. All predictor variables were significantly correlated with FVI. Two independent multiple hierarchical regression analyses revealed that both intention and behavioural resolve were significant predictors of FVI, but behavioural resolve explained greater FVI variance (40.1%) than intention (36.4%). Furthermore, action planning showed incremental predictive utility over intention, but not behavioural resolve, in predicting FVI. The results indicated that motivation is an important determinant of FVI for students, with behavioural resolve demonstrating advantages over intention as a measure of this domain and a predictor of FVI behaviour. © 2014 The British Psychological Society.

Predictors of shorter sleep in early childhood

PubMed Central

McDonald, Laura; Wardle, Jane; Llewellyn, Clare H.; van Jaarsveld, Cornelia H.M.; Fisher, Abigail

2014-01-01

Objective The aim of this study was to identify socio-demographic and home environmental predictors of shorter sleep in early childhood, and to examine whether effects were mediated by the timing of bedtime or wake time. Methods Participants were from Gemini, a British birth cohort of twins, and included 1702 children; one randomly selected from each twin pair. Parents reported night-time sleep duration at an average age of 15.8 months (range 14–27 months) using a modified version of the Brief Infant Sleep Questionnaire. Multiple logistic regression models were used to identify predictors of shorter sleep for this study. Results Using a cut-off of <11 h a night, shorter sleep was reported in 14.1% of children. Lower maternal education, non-white ethnic background, being male, low birth weight, living in a home with >1 older child and watching >1 h of TV in the evening were independently associated with shorter sleep. Mediation analyses showed that associations between education, ethnicity, evening TV viewing and sleep were driven predominantly by later bedtimes, while sex differences were driven predominantly by earlier wake times in boys. Conclusion In this sample, multiple environmental factors were associated with shorter sleep in young children, with several operating predominantly through later bedtime. An emphasis on the importance of an early and consistent bedtime could help promote healthy sleep and reduce inequalities in child health. PMID:24726571

Predictors of Attitudes Toward Non-Technical Skills in Farming.

PubMed

Irwin, Amy; Poots, Jill

2018-01-01

Farming is a high-risk sector with up to 170,000 worldwide fatalities reported per year; it is therefore vital to identify methods of mitigating the dangers of this industry. Research within high-risk industries, such as aviation, shipping, and agriculture, has identified the importance of non-technical skills (NTS) in maintaining effective, safe performance and reducing error and injury. However, there is a lack of research evaluating factors that may contribute to NTS attitudes and behaviors. As a first step to address this literature gap, the current study evaluated a range of individual and environmental factors as potential predictors of attitudes toward NTS in agriculture. A sample of 170 farmers from within the United Kingdom and Ireland were surveyed using an online questionnaire. The questionnaire included measures of personality, stress, attitudes toward safety (safety climate, motivation, and risk), environmental stressors (workload, work-life imbalance), and non-technical skills (team and lone worker). Attitudes toward safety climate, compliance, and motivation showed a significant association with both team-based and lone worker NTS. Conscientiousness correlated positively with the majority of the NTS elements. Multiple regression analysis indicated neuroticism and conscientiousness demonstrated capacity to predict NTS attitudes. Concerns about costs and equipment, attitudes toward safety climate, and safety motivation were also found to be significant predictors of NTS attitudes. The results indicate the utility of individual characteristics and environmental factors when predicting farming NTS attitudes. As a result, these elements could be important when evaluating engagement with NTS and developing NTS training initiatives in agriculture.

Early Predictors of High School Mathematics Achievement

ERIC Educational Resources Information Center

Siegler, Robert S.; Duncan, Greg J.; Davis-Kean, Pamela E.; Duckworth, Kathryn; Claessens, Amy; Engel, Mimi; Susperreguy, Maria Ines; Meichu, Chen

2012-01-01

Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics…

Differences in Psychosocial Predictors of Obesity Among LGBT Subgroups.

PubMed

Warren, Jacob C; Smalley, K Bryant; Barefoot, K Nikki

2016-08-01

The purpose of the current study was to examine the overall presence of and differences in rates of overweight/obesity among a large, nationally diverse sample of lesbian, gay, bisexual, transgender (LGBT)-identified individuals (i.e., cisgender lesbians, cisgender gay men, cisgender bisexual women, cisgender bisexual men, transgender women, and transgender men) and to identify specific psychosocial predictors of obesity within each of the six LGBT subgroups. A total of 2702 LGBT-identified participants participated in the online study. Participants completed a series of demographic questions (including weight and height) and the Depression Anxiety Stress Scale 21. The percentage of participants who were overweight/obese did not differ significantly across LGBT subgroups, with 61.1% of the total sample being overweight/obese. However, the percentage of participants who self-reported body mass indexes in the obese range differed significantly across the six LGBT subgroups, with the highest prevalence in transgender men (46.0%). In addition, the predictors of obesity varied by subgroup, with age a significant predictor for cisgender lesbians, cisgender gay men, and cisgender bisexual women, relationship status for cisgender bisexual women, employment status for both cisgender gay men and cisgender bisexual women, education level for cisgender lesbians, and depression, anxiety, and stress for cisgender gay men. None of the examined psychosocial factors emerged as predictors of obesity for cisgender bisexual men, transgender women, or transgender men. These findings suggest that there are substantial variations in the presence and predictors of obesity across LGBT subgroups that support the need for culturally tailored healthy weight promotion efforts within the LGBT community.

Predictors and enablers of mental health nurses' family-focused practice.

PubMed

Grant, Anne; Reupert, Andrea; Maybery, Darryl; Goodyear, Melinda

2018-06-27

Family-focused practice improves outcomes for families where parents have a mental illness. However, there is limited understanding regarding the factors that predict and enable these practices. This study aimed to identify factors that predict and enable mental health nurses' family-focused practice. A sequential mixed methods design was used. A total of 343 mental health nurses, practicing in 12 mental health services (in acute inpatient and community settings), throughout Ireland completed the Family Focused Mental Health Practice Questionnaire, measuring family-focused behaviours and other factors that impact family-focused activities. Hierarchical multiple regression identified 14 predictors of family-focused practice. The most important predictors noted were nurses' skill and knowledge, own parenting experience, and work setting (i.e. community). Fourteen nurses, who achieved high scores on the questionnaire, subsequently participated in semistructured interviews to elaborate on enablers of family-focused practice. Participants described drawing on their parenting experiences to normalize parenting challenges, encouraging service users to disclose parenting concerns, and promoting trust. The opportunity to visit a service user's home allowed them to observe how the parent was coping and forge a close relationship with them. Nurses' personal characteristics and work setting are key factors in determining family-focused practice. This study extends current research by clearly highlighting predictors of family-focused practice and reporting how various enablers promoted family-focused practice. The capacity of nurses to support families has training, organizational and policy implications within adult mental health services in Ireland and elsewhere. © 2018 Australian College of Mental Health Nurses Inc.

Predictors and patterns of problematic Internet game use using a decision tree model

PubMed Central

Rho, Mi Jung; Jeong, Jo-Eun; Chun, Ji-Won; Cho, Hyun; Jung, Dong Jin; Choi, In Young; Kim, Dai-Jin

2016-01-01

Background and aims Problematic Internet game use is an important social issue that increases social expenditures for both individuals and nations. This study identified predictors and patterns of problematic Internet game use. Methods Data were collected from online surveys between November 26 and December 26, 2014. We identified 3,881 Internet game users from a total of 5,003 respondents. A total of 511 participants were assigned to the problematic Internet game user group according to the Diagnostic and Statistical Manual of Mental Disorders Internet gaming disorder criteria. From the remaining 3,370 participants, we used propensity score matching to develop a normal comparison group of 511 participants. In all, 1,022 participants were analyzed using the chi-square automatic interaction detector (CHAID) algorithm. Results According to the CHAID algorithm, six important predictors were found: gaming costs (50%), average weekday gaming time (23%), offline Internet gaming community meeting attendance (13%), average weekend and holiday gaming time (7%), marital status (4%), and self-perceptions of addiction to Internet game use (3%). In addition, three patterns out of six classification rules were explored: cost-consuming, socializing, and solitary gamers. Conclusion This study provides direction for future work on the screening of problematic Internet game use in adults. PMID:27499227

Predictors and patterns of problematic Internet game use using a decision tree model.

PubMed

Rho, Mi Jung; Jeong, Jo-Eun; Chun, Ji-Won; Cho, Hyun; Jung, Dong Jin; Choi, In Young; Kim, Dai-Jin

2016-09-01

Background and aims Problematic Internet game use is an important social issue that increases social expenditures for both individuals and nations. This study identified predictors and patterns of problematic Internet game use. Methods Data were collected from online surveys between November 26 and December 26, 2014. We identified 3,881 Internet game users from a total of 5,003 respondents. A total of 511 participants were assigned to the problematic Internet game user group according to the Diagnostic and Statistical Manual of Mental Disorders Internet gaming disorder criteria. From the remaining 3,370 participants, we used propensity score matching to develop a normal comparison group of 511 participants. In all, 1,022 participants were analyzed using the chi-square automatic interaction detector (CHAID) algorithm. Results According to the CHAID algorithm, six important predictors were found: gaming costs (50%), average weekday gaming time (23%), offline Internet gaming community meeting attendance (13%), average weekend and holiday gaming time (7%), marital status (4%), and self-perceptions of addiction to Internet game use (3%). In addition, three patterns out of six classification rules were explored: cost-consuming, socializing, and solitary gamers. Conclusion This study provides direction for future work on the screening of problematic Internet game use in adults.

Predictors and moderators of response to enhanced cognitive behaviour therapy and interpersonal psychotherapy for the treatment of eating disorders.

PubMed

Cooper, Zafra; Allen, Elizabeth; Bailey-Straebler, Suzanne; Basden, Shawnee; Murphy, Rebecca; O'Connor, Marianne E; Fairburn, Christopher G

2016-09-01

Consistent predictors, and more especially moderators, of response to psychological treatments for eating disorders have not been identified. The present exploratory study examined predictors and moderators of outcome in adult patients who took part in a randomised clinical trial comparing two leading treatments for these disorders, enhanced cognitive behavioural therapy (CBT-E) and interpersonal psychotherapy (IPT). Four potentially important findings emerged. Firstly, patients with a longer duration of disorder were less likely to benefit from either treatment. Second, across the two treatments the presence, at baseline, of higher levels of over-evaluation of the importance of shape predicted a less good treatment outcome. Third DSM-IV diagnosis did not predict treatment outcome. Fourth, with the exception of patients with baseline low self-esteem who achieved a better outcome with CBT-E, it was generally not possible to identify a subgroup of patients who would differentially benefit from one or other treatment. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Predictors of Residual Disease after Unplanned Excision of Soft Tissue Sarcomas

PubMed Central

Gingrich, Alicia A.; Elias, Alexandra; Michael Lee, Chia-Yuan; Nakache, Yves-Paul N.; Li, Chin-Shang; Shah, Dhruvil R.; Boutin, Robert D.; Canter, Robert J.

2016-01-01

Background Unplanned excision of soft tissue sarcomas (STS) is an important quality of care issue given the morbidity related to tumor bed excision. Since not all patients harbor residual disease at the time of re-excision, we sought to determine predictors of residual STS following unplanned excision. Methods We identified 76 patients from a prospective database (1/1/2008 – 9/30/2014) who received a diagnosis of primary STS following unplanned excision on the trunk or extremities. We used univariable and multivariable analyses to evaluate predictors of residual STS as the primary endpoint. We calculated the sensitivity/specificity and accuracy of interval magnetic resonance imaging (MRI) to predict residual sarcoma at re-excision. Results Mean age was 52 years, and 63.2% were male. 50% had fragmented unplanned excision. Among patients undergoing re-excision, residual STS was identified in 70%. On univariable analysis, MRI showing gross disease and fragmented excision were significant predictors of residual STS (OR 10.59, 95% CI 2.14–52.49, P=0.004 and OR 3.61, 95% CI 1.09–11.94, P=0.035, respectively). On multivariable analysis, tumor size predicted distant recurrence and overall survival. When we combined equivocal and positive MRI, the sensitivity and specificity of MRI for predicting residual STS were 86.7% (95% CI 73.2–95.0%) and 57.9% (95% CI 33.5–79.8%), with an overall accuracy of 78.1% (95% CI 66.0–87.5%). Conclusions 70% of patients undergoing repeat excision after unplanned excision of STS harbor residual sarcoma. Although interval MRI and fragmented excision appear to be the most significant predictors of residual STS, the accuracy of MRI remains modest, especially given the incidence of equivocal MRI. PMID:27993214

Predictors of outcomes of psychological treatments for disordered gambling: A systematic review.

PubMed

Merkouris, S S; Thomas, S A; Browning, C J; Dowling, N A

2016-08-01

This systematic review aimed to synthesise the evidence relating to pre-treatment predictors of gambling outcomes following psychological treatment for disordered gambling across multiple time-points (i.e., post-treatment, short-term, medium-term, and long-term). A systematic search from 1990 to 2016 identified 50 articles, from which 11 socio-demographic, 16 gambling-related, 21 psychological/psychosocial, 12 treatment, and no therapist-related variables, were identified. Male gender and low depression levels were the most consistent predictors of successful treatment outcomes across multiple time-points. Likely predictors of successful treatment outcomes also included older age, lower gambling symptom severity, lower levels of gambling behaviours and alcohol use, and higher treatment session attendance. Significant associations, at a minimum of one time-point, were identified between successful treatment outcomes and being employed, ethnicity, no gambling debt, personality traits and being in the action stage of change. Mixed results were identified for treatment goal, while education, income, preferred gambling activity, problem gambling duration, anxiety, any psychiatric comorbidity, psychological distress, substance use, prior gambling treatment and medication use were not significantly associated with treatment outcomes at any time-point. Further research involving consistent treatment outcome frameworks, examination of treatment and therapist predictor variables, and evaluation of predictors across long-term follow-ups is warranted to advance this developing field of research. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Screen and clean: a tool for identifying interactions in genome-wide association studies.

PubMed

Wu, Jing; Devlin, Bernie; Ringquist, Steven; Trucco, Massimo; Roeder, Kathryn

2010-04-01

Epistasis could be an important source of risk for disease. How interacting loci might be discovered is an open question for genome-wide association studies (GWAS). Most researchers limit their statistical analyses to testing individual pairwise interactions (i.e., marginal tests for association). A more effective means of identifying important predictors is to fit models that include many predictors simultaneously (i.e., higher-dimensional models). We explore a procedure called screen and clean (SC) for identifying liability loci, including interactions, by using the lasso procedure, which is a model selection tool for high-dimensional regression. We approach the problem by using a varying dictionary consisting of terms to include in the model. In the first step the lasso dictionary includes only main effects. The most promising single-nucleotide polymorphisms (SNPs) are identified using a screening procedure. Next the lasso dictionary is adjusted to include these main effects and the corresponding interaction terms. Again, promising terms are identified using lasso screening. Then significant terms are identified through the cleaning process. Implementation of SC for GWAS requires algorithms to explore the complex model space induced by the many SNPs genotyped and their interactions. We propose and explore a set of algorithms and find that SC successfully controls Type I error while yielding good power to identify risk loci and their interactions. When the method is applied to data obtained from the Wellcome Trust Case Control Consortium study of Type 1 Diabetes it uncovers evidence supporting interaction within the HLA class II region as well as within Chromosome 12q24.

Prevalence and Predictors of Change in Adult-Child Primary Caregivers

ERIC Educational Resources Information Center

Szinovacz, Maximiliane E.; Davey, Adam

2013-01-01

Family caregiving research is increasingly contextual and dynamic, but few studies have examined prevalence and predictors of change in primary caregivers, those with the most frequent contact with healthcare professionals. We identified prevalence and predictors of 2-year change in primary adult-child caregivers. Data pooled from the 1992-2000…

Predictors of Service Utilization among Youth Diagnosed with Mood Disorders

ERIC Educational Resources Information Center

Mendenhall, Amy N.

2012-01-01

In this study, I investigated patterns and predictors of service utilization for children with mood disorders. The Behavioral Model for Health Care Utilization was used as an organizing framework for identifying predictors of the number and quality of services utilized. Hierarchical regression was used in secondary data analyses of the…

Time perspective as a predictor of acute postsurgical pain and coping with pain following abdominal surgery.

PubMed

Sobol-Kwapinska, M; Plotek, W; Bąbel, P; Cybulski, M; Kluzik, A; Krystianc, J; Mandecki, M

2017-04-01

The aim of this study was to predict acute postsurgical pain and coping with pain following surgery based on preoperative time perspectives. Time perspective is a basic dimension of psychological time. It is a tendency to focus on a particular time area: the past, the present and the future. Seventy-six patients completed measures of time perspective and pain 24 h before abdominal surgery. During the 3 days after surgery, measures of pain and coping with pain were completed. We performed hierarchical regression analyses to identify predictors of acute postsurgical pain and how patients cope with it. These analyses suggested that a preoperative past-negative time perspective can be a predictor of postoperative pain level and catastrophizing after surgery. The findings of our study indicate the importance of time perspective, especially the past perspective, in dealing with postoperative pain. Our research indicates that a preoperative past-negative time perspective is a significant predictor of acute postsurgical pain intensity and the strongest predictor of pain catastrophizing. © 2016 European Pain Federation - EFIC®.

Community College Faculty Recruitment: Predictors of Applicant Attraction to Faculty Positions.

ERIC Educational Resources Information Center

Winter, Paul A.; Kjorlien, Chad L.

2000-01-01

Utilizes MBA students' biographical data and reactions to simulated position ads for community college business faculty positions to identify predictors of applicant decisions. Reveals four significant predictors of participants' ratings of simulated positions: applicant's current job satisfaction, spouse's contribution to household income,…

27 CFR 478.92 - How must licensed manufacturers and licensed importers identify firearms, armor piercing...

Code of Federal Regulations, 2010 CFR

2010-04-01

... Conduct of Business § 478.92 How must licensed manufacturers and licensed importers identify firearms... business; and (E) In the case of an imported firearm, the name of the country in which it was manufactured... place of business. For additional requirements relating to imported firearms, see Customs regulations at...

Using time-to-event analysis to identify preconception and prenatal predictors of child protective services contact.

PubMed

Austin, Anna E; Parrish, Jared W; Shanahan, Meghan E

2018-06-02

We examined preconception and prenatal predictors of time to first child protective services (CPS) contact among Alaska children. Data were from the Alaska Longitudinal Child Abuse and Neglect Linkage (ALCANLink) project, a population-representative data source linking 2009-2011 Alaska Pregnancy Risk Assessment Monitoring System (PRAMS) data with administrative data sources through 2015. We examined the incidence CPS contact using the Kaplan-Meier method and predictors of CPS contact using Cox proportional hazards regression. Using data from the Alaska Permanent Fund Dividend and Child Death Review, we censored children who emigrated out-of-state or died during the study period. Significant predictors included low socioeconomic status (HR = 2.23, 95% CI 1.68, 2.96), maternal smoking during pregnancy (HR = 1.87, 95% CI 1.55, 2.24), unmarried maternal marital status (HR = 1.62, 95% CI 1.31, 1.99), urban residence (HR = 1.59, 95% CI 1.32, 1.92), lower maternal education (HR = 1.54, 95% CI 1.24, 1.92), maternal experience of intimate partner violence in the 12 months before childbirth(HR = 1.32, 95% CI 1.01, 1.74), Alaska Native/American Indian race (HR = 1.40, 95% CI 1.15, 1.71), a greater number of living children (HR = 1.20, 95% CI 1.13, 1.29), a greater number of stressful life eventsin the 12 months before childbirth (HR = 1.16, 95% CI 1.11, 1.21), and younger maternal age at childbirth (HR = 0.95, 95% CI 0.93, 0.97). Use of multiple linked data sources and time-to-event analysis methods adds to the growing literature regarding predictors of CPS contact. Results suggest that assessing for and addressing clinical, social, and environmental indicators during the prenatal period may aid prevention efforts in mitigating family need for involvement with CPS. Copyright © 2018. Published by Elsevier Ltd.

Predictors of posttraumatic stress symptoms following childbirth

PubMed Central

2014-01-01

Background Posttraumatic stress disorder (PTSD) following childbirth has gained growing attention in the recent years. Although a number of predictors for PTSD following childbirth have been identified (e.g., history of sexual trauma, emergency caesarean section, low social support), only very few studies have tested predictors derived from current theoretical models of the disorder. This study first aimed to replicate the association of PTSD symptoms after childbirth with predictors identified in earlier research. Second, cognitive predictors derived from Ehlers and Clark’s (2000) model of PTSD were examined. Methods N = 224 women who had recently given birth completed an online survey. In addition to computing single correlations between PTSD symptom severities and variables of interest, in a hierarchical multiple regression analyses posttraumatic stress symptoms were predicted by (1) prenatal variables, (2) birth-related variables, (3) postnatal social support, and (4) cognitive variables. Results Wellbeing during pregnancy and age were the only prenatal variables contributing significantly to the explanation of PTSD symptoms in the first step of the regression analysis. In the second step, the birth-related variables peritraumatic emotions and wellbeing during childbed significantly increased the explanation of variance. Despite showing significant bivariate correlations, social support entered in the third step did not predict PTSD symptom severities over and above the variables included in the first two steps. However, with the exception of peritraumatic dissociation all cognitive variables emerged as powerful predictors and increased the amount of variance explained from 43% to a total amount of 68%. Conclusions The findings suggest that the prediction of PTSD following childbirth can be improved by focusing on variables derived from a current theoretical model of the disorder. PMID:25026966

Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors.

PubMed

Allan, Louise M; Rowan, Elise N; Thomas, Alan J; Polvikoski, Tuomo M; O'Brien, John T; Kalaria, Raj N

2013-12-01

Depression is common and an important consequence of stroke but there is limited information on the longer-term relationship between these conditions. To identify the prevalence, incidence and predictors of depression in a secondary-care-based cohort of stroke survivors aged over 75 years, from 3 months to up to 10 years post-stroke. Depression was assessed annually by three methods: major depression by DSM-IV criteria, the self-rated Geriatric Depression Scale (GDS) and the observer-rated Cornell scale. We found the highest rates, 31.7% baseline prevalence, of depressive symptoms with the GDS compared with 9.7% using the Cornell scale and 1.2% using DSM-IV criteria. Incidence rates were 36.9, 5.90 and 4.18 episodes per 100 person years respectively. Baseline GDS score was the most consistent predictor of depressive symptoms at all time points in both univariate and multivariate analyses. Other predictors included cognitive impairment, impaired activities of daily living and in the early period, vascular risk factor burden and dementia. Our results emphasise the importance of psychiatric follow-up for those with early-onset post-stroke depression and long-term monitoring of mood in people who have had a stroke and remain at high risk of depression.

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

Brain function predictors and outcome of weight loss and weight loss maintenance.

PubMed

Szabo-Reed, Amanda N; Breslin, Florence J; Lynch, Anthony M; Patrician, Trisha M; Martin, Laura E; Lepping, Rebecca J; Powell, Joshua N; Yeh, Hung-Wen Henry; Befort, Christie A; Sullivan, Debra; Gibson, Cheryl; Washburn, Richard; Donnelly, Joseph E; Savage, Cary R

2015-01-01

Obesity rates are associated with public health consequences and rising health care costs. Weight loss interventions, while effective, do not work for everyone, and weight regain is a significant problem. Eating behavior is influenced by a convergence of processes in the brain, including homeostatic factors and motivational processing that are important contributors to overeating. Initial neuroimaging studies have identified brain regions that respond differently to visual food cues in obese and healthy weight individuals that are positively correlated with reports of hunger in obese participants. While these findings provide mechanisms of overeating, many important questions remain. It is not known whether brain activation patterns change after weight loss, or if they change differentially based on amount of weight lost. Also, little is understood regarding biological processes that contribute to long-term weight maintenance. This study will use neuroimaging in participants while viewing food and non-food images. Functional Magnetic Resonance Imaging will take place before and after completion of a twelve-week weight loss intervention. Obese participants will be followed though a 6-month maintenance period. The study will address three aims: 1. Characterize brain activation underlying food motivation and impulsive behaviors in obese individuals. 2. Identify brain activation changes and predictors of weight loss. 3. Identify brain activation predictors of weight loss maintenance. Findings from this study will have implications for understanding mechanisms of obesity, weight loss, and weight maintenance. Results will be significant to public health and could lead to a better understanding of how differences in brain activation relate to obesity. Copyright © 2014 Elsevier Inc. All rights reserved.

Brain function predictors and outcome of weight loss and weight loss maintenance

PubMed Central

Szabo-Reed, Amanda N.; Breslin, Florence J.; Lynch, Anthony M.; Patrician, Trisha M.; Martin, Laura E.; Lepping, Rebecca J.; Powell, Joshua N.; Yeh, Hung-Wen (Henry); Befort, Christie A.; Sullivan, Debra; Gibson, Cheryl; Washburn, Richard; Donnelly, Joseph E.; Savage, Cary R.

2015-01-01

Obesity rates are associated with public health consequences and rising health care costs. Weight loss interventions, while effective, do not work for everyone, and weight regain is a significant problem. Eating behavior is influenced by a convergence of processes in the brain, including homeostatic factors and motivational processing that are important contributors to overeating. Initial neuroimaging studies have identified brain regions that respond differently to visual food cues in obese and healthy weight individuals that are positively correlated with reports of hunger in obese participants. While these findings provide mechanisms of overeating, many important questions remain. It is not known whether brain activation patterns change after weight loss, or if they change differentially based on amount of weight lost. Also, little is understood regarding biological processes that contribute to long-term weight maintenance. This study will use neuroimaging in participants while viewing food and non-food images. Functional Magnetic Resonance Imaging will take place before and after completion of a twelve-week weight loss intervention. Obese participants will be followed though a 6-month maintenance period. The study will address three aims: 1. Characterize brain activation underlying food motivation and impulsive behaviors in obese individuals. 2. Identify brain activation changes and predictors of weight loss. 3. Identify brain activation predictors of weight loss maintenance. Findings from this study will have implications for understanding mechanisms of obesity, weight loss, and weight maintenance. Results will be significant to public health and could lead to a better understanding of how differences in brain activation relate to obesity. PMID:25533729

Individual, Cultural and Structural Predictors of Vaccine Safety Confidence and Influenza Vaccination Among Hispanic Female Subgroups.

PubMed

Moran, Meghan Bridgid; Chatterjee, Joyee S; Frank, Lauren B; Murphy, Sheila T; Zhao, Nan; Chen, Nancy; Ball-Rokeach, Sandra

2017-08-01

Rates of influenza vaccination among US Hispanics are lower than for non-Hispanic whites, yet little is known about factors affecting vaccination in this population. Additionally, although Hispanics are a diverse population with culturally distinct subgroups, they are often treated as a homogenous population. This study (1) examines how confidence in vaccine safety and influenza vaccine use vary by Hispanic subgroup and (2) identifies individual, cultural and structural correlates of these outcomes. This study analyzed survey data from 1565 Hispanic women who were recruited at clinic- and community-based sites in Los Angeles. Education, healthcare coverage, acculturation, fatalism, and religiosity were predictors of influenza vaccination behavior and predictors varied by subgroup. These findings provide guidance for how influenza vaccine promotion efforts can be developed for Hispanic subgroups. Confidence in the safety of a vaccine is a major predictor of flu vaccination and an important modifiable target for intervention.

Gleason grade remains an important prognostic predictor in men diagnosed with prostate cancer while on finasteride therapy

PubMed Central

CARVER, BRETT S.; KATTAN, MICHAEL W.; SCARDINO, PETER T.; EASTHAM, JAMES A.

2007-01-01

OBJECTIVE To evaluate men treated with finasteride for lower urinary tract symptoms, who subsequently were diagnosed with prostate cancer and had a radical prostatectomy (RP) at our institution, to determine if finasteride therapy prevented accurate Gleason grade assignment and prediction of biochemical recurrence. PATIENTS AND METHODS Between May 1996 and July 2003, 45 men were identified who had RP and had previously been treated with finasteride for ≥6 months before the diagnosis of prostate cancer. Clinical and pathological information was gathered from a RP database. Serum prostate-specific antigen (PSA) level, duration of finasteride therapy, biopsy Gleason grade, clinical stage, RP Gleason grade and pathological stage were reviewed. Freedom from recurrence was predicted using validated nomograms before and after RP, and compared against actuarial 5-year freedom from recurrence using the Kaplan-Meier method. RESULTS The mean duration of finasteride therapy before diagnosis was 23.6 months, the mean serum PSA (doubled to account for finasteride use) 11.02 ng/mL and mean biopsy Gleason score 6. When comparing the biopsy and RP specimen Gleason score, it was downgraded by 1 point in six men, upgraded by 1 point in eight, and upgraded by 2 points in one. The Gleason score was constant in 30 patients. The nomograms predicted freedom from recurrence in 83% and 85%, respectively; the 5-year actuarial freedom from recurrence was 86%. CONCLUSION Finasteride does not appear to compromise the assignment of Gleason grade for use in prediction tools before or after RP in men undergoing prostate biopsy or RP. The actuarial 5-year freedom from recurrence was similar to that predicted by the validated nomograms. Gleason grade remains an important prognostic predictor in men treated with finasteride and undergoing RP for clinically localized prostate cancer. PMID:15705069

Predictors of monoterpene exposure in the Danish furniture industry.

PubMed

Hagström, Katja; Jacobsen, Gitte; Sigsgaard, Torben; Schaumburg, Inger; Erlandsen, Mogens; Schlunssen, Vivi

2012-04-01

Individuals who work with pine in the furniture industry may be exposed to monoterpenes, the most abundant of which are α-pinene, β-pinene, and Δ(3)-carene. Monoterpenes are suspected to cause dermatitis and to harm the respiratory system. An understanding of the predictors of monoterpene exposure is therefore important in preventing these adverse effects. These predictors may include general characteristics of the work environment and specific work operations. We sought to assess the extent to which workers are exposed to monoterpenes and to identify possible predictors of monoterpene exposure in the pine furniture industry in Denmark. Passive measurements of the levels of selected monoterpenes (α-pinene, β-pinene, and Δ(3)-carene) were performed on 161 subjects from 17 pine furniture factories in Viborg County, Denmark; one sample was acquired from each worker. Additionally, wood dust samples were collected from 145 workers. Data on potential predictors of exposure were acquired over the course of the day on which the exposure measurements were recorded and could be assigned to one of four hierarchic ordered levels: worker, machine, department, and factory. In addition to univariate analyses, a mixed model was used to account for imbalances within the data and random variation with each of the hierarchically ordered levels. The geometric mean (GM) monoterpene content observed over the 161 measurements was 7.8 mg m(-3) [geometric standard deviation (GSD): 2.4]; the GM wood dust level over 145 measurements was 0.58 mg m(-3) (GSD: 1.49). None of the measured samples exceeded the occupational exposure limit for terpenes in Denmark (25 ppm, 150 mg m(-3)). In the univariate analyses, half of the predictors tested were found to be significant; the multivariate model indicated that only three of the potential predictors were significant. These were the recirculation of air in rooms used for the processing of wood (a factory level predictor), the presence of a

Predictors for total medical costs for acute hemorrhagic stroke patients transferred to the rehabilitation ward at a regional hospital in Taiwan.

PubMed

Chen, Chien-Min; Ke, Yen-Liang

2016-02-01

One-third of the acute stroke patients in Taiwan receive rehabilitation. It is imperative for clinicians who care for acute stroke patients undergoing inpatient rehabilitation to identify which medical factors could be the predictors of the total medical costs. The aim of this study was to identify the most important predictors of the total medical costs for first-time hemorrhagic stroke patients transferred to inpatient rehabilitation using a retrospective design. All data were retrospectively collected from July 2002 to June 2012 from a regional hospital in Taiwan. A stepwise multivariate linear regression analysis was used to identify the most important predictors for the total medical costs. The medical records of 237 patients (137 males and 100 females) were reviewed. The mean total medical cost per patient was United States dollar (USD) 5939.5 ± 3578.5.The following were the significant predictors for the total medical costs: impaired consciousness [coefficient (B), 1075.7; 95% confidence interval (CI) = 138.5-2012.9], dysphagia [coefficient (B), 1025.8; 95% CI = 193.9-1857.8], number of surgeries [coefficient (B), 796.4; 95% CI = 316.0-1276.7], pneumonia in the neurosurgery ward [coefficient (B), 2330.1; 95% CI = 1339.5-3320.7], symptomatic urinary tract infection (UTI) in the rehabilitation ward [coefficient (B), 1138.7; 95% CI = 221.6-2055.7], and rehabilitation ward stay [coefficient (B), 64.9; 95% CI = 31.2-98.7] (R(2) = 0.387). Our findings could help clinicians to understand that cost reduction may be achieved by minimizing complications (pneumonia and UTI) in these patients.

Identifying hub stations and important lines of bus networks: A case study in Xiamen, China

NASA Astrophysics Data System (ADS)

Zhang, Hui; Zhuge, Chengxiang; Yu, Xiaohua

2018-07-01

Hub stations and important lines play key roles in transfers between stations. In this paper, a node failure model is proposed to identify hub stations. In the model, we introduce two new indicators called neighborhood degree ratio and transfer index to evaluate the importance of stations, which consider neighborhood stations' degree of station and the initial transfer times between stations. Moreover, line accessibility is developed to measure the importance of lines in the bus network. Xiamen bus network in 2016 is utilized to test the model. The results show that the two introduced indicators are more effective to identify hub stations compared with traditional complex network indicators such as degree, clustering coefficient and betweenness.

Candidate Predictors of Health-Related Quality of Life of Colorectal Cancer Survivors: A Systematic Review

PubMed Central

van der Linden, Bernadette W.A.; Winkels, Renate M.; van Duijnhoven, Fränzel J.; Mols, Floortje; van Roekel, Eline H.; Kampman, Ellen; Beijer, Sandra; Weijenberg, Matty P.

2016-01-01

survivors is threatened by health problems persisting for years after diagnosis and treatment. Early identification of survivors at risk of experiencing low quality of life in the future is thus important for taking preventive measures. Clinical prediction models are tools that can help oncologists identify at-risk individuals. However, such models are currently not available for clinical oncology practice. This systematic review outlines candidate predictors of low quality of life of colorectal cancer survivors, providing a firm conceptual basis for developing prediction models. PMID:26911406

REASSESSING MECHANISM AS A PREDICTOR OF PEDIATRIC INJURY MORTALITY

PubMed Central

Beck, Haley; Mittal, Sushil; Madigan, David; Burd, Randall S.

2015-01-01

Background The use of mechanism of injury as a predictor of injury outcome presents practical challenges because this variable may be missing or inaccurate in many databases. The purpose of this study was to determine the importance of mechanism of injury as a predictor of mortality among injured children. Methods The records of children (<15 years old) sustaining a blunt injury were obtained from the National Trauma Data Bank. Models predicting injury mortality were developed using mechanism of injury and injury coding using either Abbreviated Injury Scale post-dot values (low-dimensional injury coding) or injury ICD-9 codes and their two-way interactions (high-dimensional injury coding). Model performance with and without inclusion of mechanism of injury was compared for both coding schemes, and the relative importance of mechanism of injury as a variable in each model type was evaluated. Results Among 62,569 records, a mortality rate of 0.9% was observed. Inclusion of mechanism of injury improved model performance when using low-dimensional injury coding but was associated with no improvement when using high-dimensional injury coding. Mechanism of injury contributed to 28% of model variance when using low-dimensional injury coding and <1% when high-dimensional injury coding was used. Conclusions Although mechanism of injury may be an important predictor of injury mortality among children sustaining blunt trauma, its importance as a predictor of mortality depends on approach used for injury coding. Mechanism of injury is not an essential predictor of outcome after injury when coding schemes are used that better characterize injuries sustained after blunt pediatric trauma. PMID:26197948

Important caves to be identified

NASA Astrophysics Data System (ADS)

Criteria to identify significant caves on federal land are being developed by the Interior Department's Bureau of Land Management and the Agriculture Department's Forest Service under requirements of the Federal Cave Resources Protection Act of 1988. The departments gave advance notice of proposed rulemaking March 3 and invited suggestions and comments from the public for 30 days.The law requires protection, to the extent practical, of significant caves on lands administered by the Secretaries of Agriculture and Interior and includes authority to issue and revoke permits for collection and removal of cave resources and special provisions for regulation of cave resources on Indian lands. Final regulations must be published by August 18, 1989.

An examination of the demographic predictors of adolescent breakfast consumption, content, and context

PubMed Central

2014-01-01

Background Breakfast consumption is important to health; however, adolescents often skip breakfast, and an increased understanding of the breakfast consumption patterns of adolescents is needed. The purpose of this study was to identify the predictors of breakfast eating, including the content and context, in an adolescent sample from Australia and England. Methods Four-hundred and eighty-one students completed an online questionnaire measuring breakfast skipping, and breakfast content (what was eaten) and context (who they ate with, involvement in preparation). Logistic regression was conducted to investigate the predictors of skipping breakfast, breakfast context, and consumption of the ten most commonly consumed foods. Chi-square analyses were used to examine differences in breakfast content according to context. Results Most students (88%) had consumed breakfast on the day of the survey; breakfast skipping was more common in England (18%) than in Australia (8%). Country, gender, socioeconomic status, and body mass index (BMI) were all predictors of breakfast content and context. Whether adolescents ate with others and/or were involved in breakfast preparation predicted the content of breakfast consumed. Conclusions This study provides a comprehensive examination of the factors underlying breakfast consumption (content and context) and has important implications for the development of evidence-based interventions to improve rates of breakfast consumption and the quality of food consumed amongst adolescents. PMID:24645936

Demographic predictors of emotional intelligence among radiation therapists.

PubMed

Stami, Trakis; Ritin, Fernandez; Dominique, Parrish

2018-04-23

Contemporary health care services are more productive and successful when their health professionals have emotional intelligence (EI). The objective of this study was to explore the demographic predictors of EI among radiation therapists working in cancer care centres in NSW, Australia. Data were collected using a cross-sectional self-administered survey. Emotional intelligence was measured using the Trait Emotional Intelligence Questionnaire- Short version (TEIQue - SF). Multiple regression analysis was used to identify if age, years of experience, gender, highest level of education obtained or level of current employment were predictors of EI. A total of 205 radiation therapists participated in this study. The mean scores for Global EI, emotionality, self-control, wellbeing and sociability dimensions were 5.16 (SD = 0.6), 5.3 (SD = 0.7), 4.9 (SD = 0.9), 5.7 (SD = 0.8) and 4.7 (SD = 0.8) respectively. Age and level of current employment were identified as predictors of global EI. Gender and level of education were significant predictors of the EI emotionality dimension. Levels of employment along with level of education were both significant predictors of the sociability dimension of EI. Being a young radiation therapist, female, and having higher levels of employment and higher levels of education were predictors of EI. Given that level of education and level of employment are both amendable demographic factors, strategies to address these factors to reduce the effects of emotional struggle experienced by radiation therapists in their work need to be implemented. © 2018 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Family and school environmental predictors of sleep bruxism in children.

PubMed

Rossi, Debora; Manfredini, Daniele

2013-01-01

To identify potential predictors of self-reported sleep bruxism (SB) within children's family and school environments. A total of 65 primary school children (55.4% males, mean age 9.3 ± 1.9 years) were administered a 10-item questionnaire investigating the prevalence of self-reported SB as well as nine family and school-related potential bruxism predictors. Regression analyses were performed to assess the correlation between the potential predictors and SB. A positive answer to the self-reported SB item was endorsed by 18.8% of subjects, with no sex differences. Multiple variable regression analysis identified a final model showing that having divorced parents and not falling asleep easily were the only two weak predictors of self-reported SB. The percentage of explained variance for SB by the final multiple regression model was 13.3% (Nagelkerke's R² = 0.133). While having a high specificity and a good negative predictive value, the model showed unacceptable sensitivity and positive predictive values. The resulting accuracy to predict the presence of self-reported SB was 73.8%. The present investigation suggested that, among family and school-related matters, having divorced parents and not falling asleep easily were two predictors, even if weak, of a child's self-report of SB.

A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

PubMed

Singh, Karandeep; Betensky, Rebecca A; Wright, Adam; Curhan, Gary C; Bates, David W; Waikar, Sushrut S

2016-12-07

Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. We used natural language processing tools to extract concepts from the preceding year's clinical notes among patients newly referred to a tertiary care center's outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high-dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. Copyright © 2016 by the American Society of Nephrology.

Modeling Predictors of Duties Not Including Flying Status.

PubMed

Tvaryanas, Anthony P; Griffith, Converse

2018-01-01

The purpose of this study was to reuse available datasets to conduct an analysis of potential predictors of U.S. Air Force aircrew nonavailability in terms of being in "duties not to include flying" (DNIF) status. This study was a retrospective cohort analysis of U.S. Air Force aircrew on active duty during the period from 2003-2012. Predictor variables included age, Air Force Specialty Code (AFSC), clinic location, diagnosis, gender, pay grade, and service component. The response variable was DNIF duration. Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. Out of a set of 783 potential predictor variables, 339 variables were identified from the nonparametric exploratory analysis for inclusion in the parametric analysis. Of these, 54 variables had significant associations with DNIF duration in the final model fitted to the validation data set. The predicted results of this model for DNIF duration had a correlation of 0.45 with the actual number of DNIF days. Predictor variables included age, 6 AFSCs, 7 clinic locations, and 40 primary diagnosis categories. Specific demographic (i.e., age), occupational (i.e., AFSC), and health (i.e., clinic location and primary diagnosis category) DNIF drivers were identified. Subsequent research should focus on the application of primary, secondary, and tertiary prevention measures to ameliorate the potential impact of these DNIF drivers where possible.Tvaryanas AP, Griffith C Jr. Modeling predictors of duties not including flying status. Aerosp Med Hum Perform. 2018; 89(1):52-57.

Stress, anger and Mediterranean diet as predictors of metabolic syndrome.

PubMed

Garcia-Silva, Jaqueline; Navarrete Navarrete, Nuria; Ruano Rodríguez, Ana; Peralta-Ramírez, María Isabel; Mediavilla García, Juan Diego; Caballo, Vicente E

2017-10-30

Metabolic syndrome (MetS) is a cluster of metabolic conditions that include abdominal obesity, reduction in cholesterol concentrations linked to high density lipoproteins (HLDc), elevated triglycerides, increased blood pressure and hyperglycaemia. Given that this is a multicausal disease, the aim of this study is to identify the psychological, emotional and lifestyle variables that can have an influence on the different MetS components. A cross-sectional study with 103 patients with diagnostic criteria for MetS (47 male and 56 female). Anthropometric, clinical and analytical measurements were collected to assess the variables associated with MetS. The main psychological and emotional variables were also assessed. Different multiple linear regression tests were performed to identify which variables were predictive of MetS. The dependent variables were body mass index (BMI), abdominal circumference, HDLc, and quality of life, and the predictive variables were psychological stress, anger and adherence to a Mediterranean diet. The results showed that psychological stress was a predictor of quality of life (β=-0.55, P≤0). Similarly, anger was a predictor of BMI (β=0.23, P=.047) and abdominal circumference (β=0.27, P=.021). As expected, adherence to a Mediterranean diet was a predictor of HDLc (β=0.2, P=.045) and of quality of life (β=-0.18, P=.031). The results confirm a link between adherence to certain dietary habits and lifestyle, however they go one step further and show the importance of psychological and emotional factors like psychological stress and anger in some MetS components. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Statistical Analyses of Scatterplots to Identify Important Factors in Large-Scale Simulations

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

Kleijnen, J.P.C.; Helton, J.C.

1999-04-01

The robustness of procedures for identifying patterns in scatterplots generated in Monte Carlo sensitivity analyses is investigated. These procedures are based on attempts to detect increasingly complex patterns in the scatterplots under consideration and involve the identification of (1) linear relationships with correlation coefficients, (2) monotonic relationships with rank correlation coefficients, (3) trends in central tendency as defined by means, medians and the Kruskal-Wallis statistic, (4) trends in variability as defined by variances and interquartile ranges, and (5) deviations from randomness as defined by the chi-square statistic. The following two topics related to the robustness of these procedures are consideredmore » for a sequence of example analyses with a large model for two-phase fluid flow: the presence of Type I and Type II errors, and the stability of results obtained with independent Latin hypercube samples. Observations from analysis include: (1) Type I errors are unavoidable, (2) Type II errors can occur when inappropriate analysis procedures are used, (3) physical explanations should always be sought for why statistical procedures identify variables as being important, and (4) the identification of important variables tends to be stable for independent Latin hypercube samples.« less

Benchmark data for identifying multi-functional types of membrane proteins.

PubMed

Wan, Shibiao; Mak, Man-Wai; Kung, Sun-Yuan

2016-09-01

Identifying membrane proteins and their multi-functional types is an indispensable yet challenging topic in proteomics and bioinformatics. In this article, we provide data that are used for training and testing Mem-ADSVM (Wan et al., 2016. "Mem-ADSVM: a two-layer multi-label predictor for identifying multi-functional types of membrane proteins" [1]), a two-layer multi-label predictor for predicting multi-functional types of membrane proteins.

Predictors of multidisciplinary treatment outcome in fibromyalgia:a systematic review.

PubMed

de Rooij, Aleid; Roorda, Leo D; Otten, René H J; van der Leeden, Marike; Dekker, Joost; Steultjens, Martijn P M

2013-03-01

To identify outcome predictors for multidisciplinary treatment in patients with chronic widespread pain (CWP) or fibromyalgia (FM). A systematic literature search in PubMed, PsycINFO, CINAHL, Cochrane Library, EMBASE and Pedro. Selection criteria included: age over 18; diagnosis CWP or FM; multidisciplinary treatment; longitudinal study design; original research report. Outcome domains: pain, physical functioning, emotional functioning, global treatment effect and 'others'. Methodological quality of the selected articles was assessed and a qualitative data synthesis was performed to identify the level of evidence. Fourteen studies (all with FM patients) fulfilled the selection criteria. Six were of high quality. Poorer outcome (pain, moderate evidence; physical functioning and quality of life, weak evidence) was predicted by depression. Similarly, poorer outcome was predicted by the disturbance and pain profile of the Minnesota Multiphasic Personality Inventory (MMPI), strong beliefs in fate and high disability (weak evidence). A better outcome was predicted by a worse baseline status, the dysfunctional and the adaptive copers profile of the Multidimensional Pain Inventory (MPI), and high levels of pain (weak evidence). Some predictors were related to specific multidisciplinary treatment (weak evidence). Inconclusive evidence was found for other demographic and clinical factors, cognitive and emotional factors, symptoms and physical functioning as predictors of outcome. It was found that a higher level of depression was a predictor of poor outcome in FM (moderate evidence). In addition, it was found that the baseline status, specific patient profiles, belief in fate, disability, and pain were predictors of the outcome of multidisciplinary treatment. Our results highlight the lack of high quality studies for evaluating predictors of the outcome of multidisciplinary treatment in FM. Further research on predictors of multidisciplinary treatment outcome is needed.

Different approaches for identifying important concepts in probabilistic biomedical text summarization.

PubMed

Moradi, Milad; Ghadiri, Nasser

2018-01-01

Automatic text summarization tools help users in the biomedical domain to acquire their intended information from various textual resources more efficiently. Some of biomedical text summarization systems put the basis of their sentence selection approach on the frequency of concepts extracted from the input text. However, it seems that exploring other measures rather than the raw frequency for identifying valuable contents within an input document, or considering correlations existing between concepts, may be more useful for this type of summarization. In this paper, we describe a Bayesian summarization method for biomedical text documents. The Bayesian summarizer initially maps the input text to the Unified Medical Language System (UMLS) concepts; then it selects the important ones to be used as classification features. We introduce six different feature selection approaches to identify the most important concepts of the text and select the most informative contents according to the distribution of these concepts. We show that with the use of an appropriate feature selection approach, the Bayesian summarizer can improve the performance of biomedical summarization. Using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) toolkit, we perform extensive evaluations on a corpus of scientific papers in the biomedical domain. The results show that when the Bayesian summarizer utilizes the feature selection methods that do not use the raw frequency, it can outperform the biomedical summarizers that rely on the frequency of concepts, domain-independent and baseline methods. Copyright © 2017 Elsevier B.V. All rights reserved.

Predictors of nutrition information comprehension in adulthood.

PubMed

Miller, Lisa M Soederberg; Gibson, Tanja N; Applegate, Elizabeth A

2010-07-01

The goal of the present study was to examine relationships among several predictors of nutrition comprehension. We were particularly interested in exploring whether nutrition knowledge or motivation moderated the effects of attention on comprehension across a wide age range of adults. Ninety-three participants, ages 18-80, completed measures of nutrition knowledge and motivation and then read nutrition information (from which attention allocation was derived) and answered comprehension questions. In general, predictor variables were highly intercorrelated. However, knowledge, but not motivation, had direct effects on comprehension accuracy. In contrast, motivation influenced attention, which in turn influenced accuracy. Results also showed that comprehension accuracy decreased-and knowledge increased-with age. When knowledge was statistically controlled, age declines in comprehension increased. Knowledge is an important predictor of nutrition information comprehension and its role increases in later life. Motivation is also important; however, its effects on comprehension differ from knowledge. Health educators and clinicians should consider cognitive skills such as knowledge as well as motivation and age of patients when deciding how to best convey health information. The increased role of knowledge among older adults suggests that lifelong educational efforts may have important payoffs in later life. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

Predictors of Nutrition Information Comprehension in Adulthood

PubMed Central

Miller, Lisa M. Soederberg; Gibson, Tanja N.; Applegate, Elizabeth A.

2009-01-01

Objective The goal of the present study was to examine relationships among several predictors of nutrition comprehension. We were particularly interested in exploring whether nutrition knowledge or motivation moderated the effects of attention on comprehension across a wide age range of adults. Methods Ninety-three participants, ages 18 to 80, completed measures of nutrition knowledge and motivation and then read nutrition information (from which attention allocation was derived) and answered comprehension questions. Results In general, predictor variables were highly intercorrelated. However, knowledge, but not motivation, had direct effects on comprehension accuracy. In contrast, motivation influenced attention, which in turn influenced accuracy. Results also showed that comprehension accuracy decreased- and knowledge increased -with age. When knowledge was statistically controlled, age declines in comprehension increased. Conclusion Knowledge is an important predictor of nutrition information comprehension and its role increases in later life. Motivation is also important; however, its effects on comprehension differ from knowledge. Practice Implications Health educators and clinicians should consider cognitive skills such as knowledge as well as motivation and age of patients when deciding how to best convey health information. The increased role of knowledge among older adults suggests that lifelong educational efforts may have important payoffs in later life. PMID:19854605

Salient Predictors of School Dropout among Secondary Students with Learning Disabilities

ERIC Educational Resources Information Center

Doren, Bonnie; Murray, Christopher; Gau, Jeff M.

2014-01-01

The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…

Wire-bending test as a predictor of preclinical performance by dental students.

PubMed

Kao, E C; Ngan, P W; Wilson, S; Kunovich, R

1990-10-01

Traditional Dental Aptitude Test and academic grade point average have been shown to be poor predictors of clinical performance by dental students. To refine predictors of psychomotor skills, a wire-bending test was given to 105 freshmen at the beginning of their dental education. Grades from seven restorative preclinical courses in their freshman and sophomore years were compared to scores on wire bending and the three traditional predictors: GPA, academic aptitude, and perceptual aptitude scores. Wire-bending scores correlated significantly with six out of seven preclinical restorative courses. The predictive power for preclinical performance was doubled when wire bending was added to traditional predictors in stepwise multiple regression analysis. Wire-bending scores identified students of low performance. These preliminary results suggest that the wire-bending test shows some potential as a screening test for identifying students who may hae psychomotor difficulties, early in their dental education.

Identifying important motivational factors for professionals in Greek hospitals

PubMed Central

Kontodimopoulos, Nick; Paleologou, Victoria; Niakas, Dimitris

2009-01-01

Background The purpose of this study was to identify important motivational factors according to the views of health-care professionals in Greek hospitals and particularly to determine if these might differ in the public and private sectors. Methods A previously developed -and validated- instrument addressing four work-related motivators (job attributes, remuneration, co-workers and achievements) was used. Three categories of health care professionals, doctors (N = 354), nurses (N = 581) and office workers (N = 418), working in public and private hospitals, participated and motivation was compared across socio-demographic and occupational variables. Results The range of reported motivational factors was mixed and Maslow's conclusions that lower level motivational factors must be met before ascending to the next level were not confirmed. The highest ranked motivator for the entire sample, and by professional subgroup, was achievements (P < 0.001). Within subgroups, motivators were similar, and only one significant difference was observed, namely between doctors and nurses in respect to co-workers (P < 0.05). Remuneration (and salary in particular) was reported as a significant incentive only for professionals in managerial positions. Health professionals in private hospitals were motivated by all factors significantly more than their public-hospital counterparts. Conclusion The results are in agreement with the literature which focuses attention to management approaches employing both monetary and non-monetary incentives to motivate health care workers. This study showed that intrinsic factors are particularly important and should become a target for effective employee motivation. PMID:19754968

Predictors factors for post-thyroidectomy hypocalcaemia.

PubMed

Sousa, Alexandre de Andrade; Salles, José Maria Porcaro; Soares, João Marcos Arantes; Moraes, Gustavo Meyer de; Carvalho, Jomar Rezende; Savassi-Rocha, Paulo Roberto

2012-12-01

To evaluate the incidence and predictors of post-thyroidectomy definitive hypocalcemia and hypoparathyroidism. We assessed ionic calcium preoperatively and postoperatively (first, second and 30th day) in 333 patients undergoing thyroidectomy. In those presenting hypocalcemia, measurements were also made 90 and 180 days after surgery, when parathormone was also dosed. Patients were grouped according to the presence or absence of hypocalcemia and evaluated according to age, gender, thyroid function, thyroid volume, number of parathyroid glands identified and need to parathyroid reimplantation, type of operation, operative time, and histopathological diagnosis. The incidence of temporary hypocalcemia was 40.8% (136 patients), and of definitive hypoparathyroidism 4.2% (14 patients). Reoperation or total thyroidectomy, neck dissection, hyperthyroidism, operative time and age above 50 years were factors related to higher incidence of hypocalcemia and definitive hypoparathyroidism (p <0.05). predictors of postoperative hypocalcemia included age (> 50 years), total thyroidectomy, reoperation, neck dissection and operative time. The predictors of post-thyroidectomy definitive hypoparathyroidism included type of operation, histological diagnosis and hyperthyroidism.

Reflex Cough and Disease Duration as Predictors of Swallowing Dysfunction in Parkinson's Disease.

PubMed

Troche, Michelle S; Schumann, Beate; Brandimore, Alexandra E; Okun, Michael S; Hegland, Karen W

2016-12-01

Patients with Parkinson's disease (PD) have progressive and pervasive disorders of airway protection. Recent work has highlighted the relationship between reflex and voluntary cough and swallowing safety. The goal of this study was to test the sensitivity and specificity of several airway protective and disease-specific factors for predicting swallowing safety outcomes in PD. Sixty-four participants (44 males) completed measures of voluntary and reflex cough, and swallowing safety. Clinical predictors included disease severity and duration, and cough airflow and sensitivity measures. ROC and Chi-square analyses identified predictors of swallowing safety (penetration-aspiration score) in PD. Disease duration significantly discriminated between patients with normal and abnormal swallowing safety (p = 0.027, sensitivity: 71 %, specificity: 55.4 %). Cough reflex sensitivity significantly discriminated between patients who penetrated above the level of the vocal folds and those with more severe penetration/aspiration (p = 0.021, sensitivity: 71.0 %, specificity 57.6 %). Urge-to-cough sensitivity (log-log linear slope) was the only variable which significantly discriminated between patients with penetration versus aspiration (p = 0.017, sensitivity: 85.7 %, specificity 73.2 %). It is important to identify the factors which influence airway protective outcomes in PD especially given that aspiration pneumonia is a leading cause of death. Results from this study highlight the ecological validity of reflex cough in the study of airway protection and this study further identifies important factors to consider in the screening of airway protective deficits in PD.

Reflected appraisals and perceived importance of significant others' appraisals as predictors of college athletes' self-perceptions of competence.

PubMed

Amorose, Anthony J

2003-03-01

This study examined the reflected appraisal process with college athletes (N = 325). Specifically, the study tested (a) the relative influence of the reflected appraisals of mothers, fathers, coaches, and teammates (i.e., how athletes perceive these others view their ability) on athletes' self-perceptions of competence, and (b) whether the importance placed on these significant others as sources of competence information moderated the relationship. Based on a factor analysis, composite variables were formed representing the reflected appraisals of the athletes' parents (i.e., father, mother) and the reflected appraisals of sport-others (i.e., coach, teammates). Regression analyses revealed that the reflected appraisals of parents (beta = .21) and sport-others (beta = .55) predicted self-perceptions of competence (p < .05, R2 = .45). Follow-up analyses determined that the reflected appraisal of sport-others was a significantly stronger predictor. Hierarchical regression analyses revealed that the interaction of reflected appraisals and the importance of significant others did not significantly add to the prediction of self-perceptions of competence (p > .05, deltaR2 = .01) beyond the independent effects of these constructs. Results are discussed in terms of the reflected appraisal process and the influence of significant others on athletes' self-perceptions.

Preoperative Nutritional Status as an Adjunct Predictor of Major Postoperative Complications Following Anterior Cervical Discectomy and Fusion.

PubMed

Fu, Michael C; Buerba, Rafael A; Grauer, Jonathan N

2016-05-01

Retrospective analysis of the National Surgical Quality Improvement Program (NSQIP), a prospectively collected multicenter surgical outcomes database. To determine the effect of preoperative nutritional status, as measured by serum albumin concentration, on outcomes following anterior cervical discectomy and fusion (ACDF). Nutritional status has been shown to be an important predictor of postoperative recovery and outcomes. Serum albumin concentration is an established marker of overall nutrition and systemic disease, however, its correlation to outcomes following ACDF is unknown. ACDF cases from 2005 to 2010 were identified in the NSQIP and categorized by preoperative serum albumin: normal (≥3.5 g/dL), hypoalbuminemic (<3.5 g/dL), or not measured. Independent demographic and comorbidity variables were assessed, including American Society of Anesthesiologists (ASA) classification. Risk factors for major postoperative complications were identified, including preoperative hypoalbuminemia, and incorporated into a multivariable logistic regression model to determine the strength of preoperative hypoalbuminemia as an adjusted predictor of major postoperative complications. There were 3671 ACDF cases, of which 1382 (37.6%) had preoperative albumin measurements. Patients with albumin measurements were older and more likely to have higher ASA class, hypertension, and diabetes. Hypoalbuminemic patients had higher rates of having any major postoperative complication(s), specifically pulmonary complications, cardiac complications, and reoperation, relative to those with normal albumin (all P<0.01). These patients also had longer lengths of stay (5.0 vs. 1.9 d). With multivariable regression, preoperative hypoalbuminemia was a strong independent predictor of major postoperative complications, with an adjusted odds ratio of 3.37 (P=0.003). In this analysis of a prospective surgical outcomes database, preoperative serum hypoalbuminemia was an important adjunct predictor of

A Concept–Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure

PubMed Central

Betensky, Rebecca A.; Wright, Adam; Curhan, Gary C.; Bates, David W.; Waikar, Sushrut S.

2016-01-01

Background and objectives Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. Design, setting, participants, & measurements We used natural language processing tools to extract concepts from the preceding year’s clinical notes among patients newly referred to a tertiary care center’s outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Results Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high–dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Conclusions Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. PMID:27927892

Neuropsychologic predictors of competency in Alzheimer's disease using a rational reasons legal standard.

PubMed

Marson, D C; Cody, H A; Ingram, K K; Harrell, L E

1995-10-01

To identify neuropsychologic predictors of competency performance and status in Alzheimer's disease (AD) using a specific legal standard (LS). This study is a follow-up to the competency assessment research reported in this issue of the archives. Univariate and multivariate analyses of independent neuropsychologic test measures with a dependent measure of competency to consent to treatment. University medical center. Fifteen normal older control subjects and 29 patients with probable AD. Subjects were administered a battery of neuropsychologic measures theoretically linked to competency function, as well as two clinical vignettes testing their capacity to consent to medical treatment under five different LSs. The present study focused on one specific LS: the capacity to provide "rational reasons" for a treatment choice (LS4). Neuropsychologic test scores were correlated with scores on LS4 for the normal control group and the AD group. The resulting univariate predictors were then analyzed using stepwise regression and discriminant function to identify the key multivariate predictors of competency performance and status under LS4. Measures of word fluency predicted the LS4 scores of controls (R2 = .33) and the AD group (R2 = .36). A word fluency measure also emerged as the best single predictor of competency status for the full subject sample (n = 44), correctly classifying 82% of cases. Dementia severity (Mini-Mental State Examination score) did not emerge as a multivariate predictor of competency performance or status. Interestingly, measures of verbal reasoning and memory were not strongly associated with LS4. Word fluency measures predicted the normative performance and intact competency status of older control subjects and the declining performance and compromised competency status of patients with AD on a "rational reasons" standard of competency to consent to treatment. Cognitive capacities related to frontal lobe function appear to underlie the capacity to

Predictors of Nursing Students' Performance in a One-Semester Organic and Biochemistry Course

NASA Astrophysics Data System (ADS)

van Lanen, Robert J.; Lockie, Nancy M.; McGannon, Thomas

2000-06-01

In an effort to empower nursing students to successfully persist in chemistry, predictors of success for undergraduate nursing students enrolled in a one-semester organic and biochemistry course were identified. The sample consisted of 308 undergraduate nursing students enrolled in Chemistry 108 (Principles of Organic and Biochemistry) during a period of seven semesters. In this study, Supplemental Instruction (SI) is a nonremedial academic support program offered for Chemistry 108 students. Placement tests in Mathematics, Reading, and English are required of all entering students. The English Placement Test assesses proficiency in analytical reading and writing; the Nelson Denny Reading Test (Form E) assesses the student's understanding of written vocabulary and the mastery of reading comprehension, and the Mathematics Placement Test measures the student's mastery of arithmetic and algebraic calculations. Both demographic and academic variables were examined. For the entire sample, five predictor variables were identified: Mathematics Placement Test score, Chemistry 107 grade (a prerequisite), total number of SI sessions attended, Nelson Denny Reading Test (Form E) score, and age. Predictors for various subpopulations of the sample were also identified. Predictors for students of traditional age were Mathematics Placement Test score, total number of SI sessions attended, and Chemistry 107 grade. The best predictors for continuing education students were Chemistry 107 grade and Nelson Denny Test score.

Predictors and Moderators of Treatment Outcome in the Pediatric Obsessive Compulsive Treatment Study (POTS I)

ERIC Educational Resources Information Center

Garcia, Abbe Marrs; Sapyta, Jeffrey J.; Moore, Phoebe S.; Freeman, Jennifer B.; Franklin, Martin E.; March, John S.; Foa, Edna B.

2010-01-01

Objective: To identify predictors and moderators of outcome in the first Pediatric OCD Treatment Study (POTS I) among youth (N = 112) randomly assigned to sertraline, cognitive behavioral therapy (CBT), both sertraline and CBT (COMB), or a pill placebo. Method: Potential baseline predictors and moderators were identified by literature review. The…

iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.

PubMed

Chen, Wei; Feng, Peng-Mian; Lin, Hao; Chou, Kuo-Chen

2014-01-01

In eukaryotic genes, exons are generally interrupted by introns. Accurately removing introns and joining exons together are essential processes in eukaryotic gene expression. With the avalanche of genome sequences generated in the postgenomic age, it is highly desired to develop automated methods for rapid and effective detection of splice sites that play important roles in gene structure annotation and even in RNA splicing. Although a series of computational methods were proposed for splice site identification, most of them neglected the intrinsic local structural properties. In the present study, a predictor called "iSS-PseDNC" was developed for identifying splice sites. In the new predictor, the sequences were formulated by a novel feature-vector called "pseudo dinucleotide composition" (PseDNC) into which six DNA local structural properties were incorporated. It was observed by the rigorous cross-validation tests on two benchmark datasets that the overall success rates achieved by iSS-PseDNC in identifying splice donor site and splice acceptor site were 85.45% and 87.73%, respectively. It is anticipated that iSS-PseDNC may become a useful tool for identifying splice sites and that the six DNA local structural properties described in this paper may provide novel insights for in-depth investigations into the mechanism of RNA splicing.

Predictors of early versus late smoking abstinence within a 24-month disease management program.

PubMed

Cox, Lisa Sanderson; Wick, Jo A; Nazir, Niaman; Cupertino, A Paula; Mussulman, Laura M; Ahluwalia, Jasjit S; Ellerbeck, Edward F

2011-03-01

Standard smoking cessation treatment studies have been limited to 6- to 12-month follow-up, and examination of predictors of abstinence has been restricted to this timeframe. The KanQuit study enrolled 750 rural smokers across all stages of readiness to stop smoking and provided pharmacotherapy management and/or disease management, including motivational interviewing (MI) counseling every 6 months over 2 years. This paper examines differences in predictors of abstinence following initial (6-month) and extended (24-month) intervention. Baseline variables were analyzed as potential predictors of self-reported smoking abstinence at Month 6 and at Month 24. Chi-square tests, 2-sample t tests, and multiple logistic regression analyses were used to identify predictors of abstinence among 592 participants who completed assessment at baseline and Months 6 and 24. Controlling for treatment group, the final regression models showed that male gender and lower baseline cigarettes per day predicted abstinence at both 6 and 24 months. While remaining significant, the relative advantage of being male decreased over time. Global motivation to stop smoking, controlled motivation, and self-efficacy predicted abstinence at 6 months but did not predict abstinence at Month 24. In contrast, stage of change was strongly predictive of 24-month smoking status. While the importance of some predictors of successful smoking cessation appeared to diminish over time, initial lack of interest in cessation and number of cigarettes per day strongly predicted continued smoking following a 2-year program.

Predictors of micro-costing components in liver transplantation

PubMed Central

de Paiva Haddad, Luciana Bertocco; Ducatti, Liliana; Mendes, Luana Regina Baratelli Carelli; Andraus, Wellington; D’Albuquerque, Luiz Augusto Carneiro

2017-01-01

OBJECTIVES: Although liver transplantation procedures are common and highly expensive, their cost structure is still poorly understood. This study aimed to develop models of micro-costs among patients undergoing liver transplantation procedures while comparing the role of individual clinical predictors using tree regression models. METHODS: We prospectively collected micro-cost data from patients undergoing liver transplantation in a tertiary academic center. Data collection was conducted using an Intranet registry integrated into the institution’s database for the storing of financial and clinical data for transplantation cases. RESULTS: A total of 278 patients were included and accounted for 300 procedures. When evaluating specific costs for the operating room, intensive care unit and ward, we found that in all of the sectors but the ward, human resources were responsible for the highest costs. High cost supplies were important drivers for the operating room, whereas drugs were among the top four drivers for all sectors. When evaluating the predictors of total cost, a MELD score greater than 30 was the most important predictor of high cost, followed by a Donor Risk Index greater than 1.8. CONCLUSION: By focusing on the highest cost drivers and predictors, hospitals can initiate programs to reduce cost while maintaining high quality care standards. PMID:28658432

Academic and non-academic predictors of student psychological distress: the role of social identity and loneliness.

PubMed

McIntyre, Jason C; Worsley, Joanne; Corcoran, Rhiannon; Harrison Woods, Paula; Bentall, Richard P

2018-06-01

University students experience high rates of stress and mental illness; however, few studies have comprehensively examined the impact of academic and non-academic stressors on student mental health. Similarly, there has been little focus on the role of social groups in protecting against mental distress in this young adult group. To identify the key social determinants of mental health symptoms in a student population. Using an online survey, we administered measures of social connectedness and mental health symptoms alongside academic and non-academic stressors to a large sample of UK university students. Loneliness was the strongest overall predictor of mental distress, while assessment stress was the most important academic predictor. Strong identification with university friendship groups was most protective against distress relative to other social identities, and the beneficial impact of identification on symptoms was mediated by reduced loneliness. The study highlights the benefits of establishing strong social connections at university and the importance of minimising stress associated with assessment tasks.

Assessing the relative importance of correlates of loneliness in later life. Gaining insight using recursive partitioning.

PubMed

Ejlskov, Linda; Wulff, Jesper; Bøggild, Henrik; Kuh, Diana; Stafford, Mai

2017-09-08

Improving the design and targeting of interventions is important for alleviating loneliness among older adults. This requires identifying which correlates are the most important predictors of loneliness. This study demonstrates the use of recursive partitioning in exploring the characteristics and assessing the relative importance of correlates of loneliness in older adults. Using exploratory regression trees and random forests, we examined combinations and the relative importance of 42 correlates in relation to loneliness at age 68 among 2453 participants from the birth cohort study the MRC National Survey of Health and Development. Positive mental well-being, personal mastery, identifying the spouse as the closest confidant, being extrovert and informal social contact were the most important correlates of lower loneliness levels. Participation in organised groups and demographic correlates were poor identifiers of loneliness. The regression tree suggested that loneliness was not raised among those with poor mental wellbeing if they identified their partner as closest confidante and had frequent social contact. Recursive partitioning can identify which combinations of experiences and circumstances characterise high-risk groups. Poor mental wellbeing and sparse social contact emerged as especially important and classical demographic factors as insufficient in identifying high loneliness levels among older adults.

Medical malpractice predictors and risk factors for ophthalmologists performing LASIK and PRK surgery.

PubMed Central

Abbott, Richard L

2003-01-01

PURPOSE: To identify physician predictors in laser-assisted in-situ keratomileusis (LASIK) and photorefractive keratectomy (PRK) surgery that correlate with a higher risk for malpractice liability claims and lawsuits. METHODOLOGY: A retrospective, longitudinal, cohort study comparing physician characteristics of 100 consecutive Ophthalmic Mutual Insurance Company (OMIC) LASIK and PRK claims and suits to demographic and practice pattern data for all active refractive surgeons insured by OMIC between 1996 and 2002. Background information and data were obtained from OMIC underwriting applications, a physician practice pattern survey, and claims file records. Using an outcome of whether or not a physician had a prior history of a claim or suit, logistic regression analyses were used separately for each predictor as well as controlling for refractive surgery volume. RESULTS: Logistic regression analysis demonstrated that the most important predictor of filing a claim was surgical volume, with those performing more surgery having a greater risk of incurring a claim (odds ratio [OR], 31.4 for >1,000/year versus 0 to 20/year; 95% confidence interval [CI], 7.9 - 125; P = .0001). Having one or more prior claims was the only other predictor examined that remained statistically significant after controlling for patient volume (OR, 6.4; 95% CI 2.5 - 16.4; P = .0001). Physician gender, advertising, preoperative time spent with patient, and comanagement appeared to be strong predictors in multivariate analyses when surgical volume was greater than 100 cases per year. CONCLUSION: The chances of incurring a malpractice claim or suit for PRK or LASIK correlates significantly with higher surgical volume and a history of a prior claim or suit. Additional risk factors that increase in importance with higher surgical volume include gender, advertising, preoperative time spent with patient, and comanagement with optometrists. These findings may be used in the future to help improve the

Probability and predictors of the cannabis gateway effect: A national study

PubMed Central

Secades-Villa, Roberto; Garcia-Rodríguez, Olaya; Jin, Chelsea, J.; Wang, Shuai; Blanco, Carlos

2014-01-01

Background While several studies have shown a high association between cannabis use and use of other illicit drugs, the predictors of progression from cannabis to other illicit drugs remain largely unknown. This study aims to estimate the cumulative probability of progression to illicit drug use among individuals with lifetime history of cannabis use, and to identify predictors of progression from cannabis use to other illicit drugs use. Methods Analyses were conducted on the sub-sample of participants in Wave 1of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) who started cannabis use before using any other drug (n= 6,624). Estimated projections of the cumulative probability of progression from cannabis use to use of any other illegal drug use in the general population were obtained by the standard actuarial method. Univariate and multivariable survival analyses with time-varying covariates were implemented to identify predictors of progression to any drug use. Results Lifetime cumulative probability estimates indicated that 44.7% of individuals with lifetime cannabis use progressed to other illicit drug use at some time in their lives. Several sociodemographic characteristics, internalizing and externalizing psychiatric disorders and indicators of substance use severity predicted progression from cannabis use to other illicit drugs use. Conclusion A large proportion of individuals who use cannabis go on to use other illegal drugs. The increased risk of progression from cannabis use to other illicit drugs use among individuals with mental disorders underscores the importance of considering the benefits and adverse effects of changes in cannabis regulations and of developing prevention and treatment strategies directed at curtailing cannabis use in these populations. PMID:25168081

Corticosteroid therapy in ulcerative colitis: Clinical response and predictors

PubMed Central

Li, Jin; Wang, Fan; Zhang, Hong-Jie; Sheng, Jian-Qiu; Yan, Wen-Feng; Ma, Min-Xing; Fan, Ru-Ying; Gu, Fang; Li, Chuan-Feng; Chen, Da-Fan; Zheng, Ping; Gu, Yu-Pei; Cao, Qian; Yang, Hong; Qian, Jia-Ming; Hu, Pin-Jin; Xia, Bing

2015-01-01

AIM: To evaluate clinical response to initial corticosteroid (CS) treatment in Chinese ulcerative colitis patients (UC) and identify predictors of clinical response. METHODS: Four hundred and twenty-three UC patients who were initially treated with oral or intravenous CS from 2007 to 2011 were retrospectively reviewed at eight inflammatory bowel disease centers in China, and 101 consecutive cases with one-year follow-up were analyzed further for clinical response and predictors. Short-term outcomes within one month were classified as primary response and primary non-response. Long-term outcomes within one year were classified as prolonged CS response, CS dependence and secondary non-response. CS refractoriness included primary and secondary non-response. Multivariate analyses were performed to identify predictors associated with clinical response. RESULTS: Within one month, 95.0% and 5.0% of the cases were classified into primary response and non-response, respectively. Within one year, 41.6% of cases were assessed as prolonged CS response, while 49.5% as CS dependence and 4.0% as secondary non-response. The rate of CS refractoriness was 8.9%, while the cumulative rate of surgery was 6.9% within one year. After multivariate analysis of all the variables, tenesmus was found to be a negative predictor of CS dependence (OR = 0.336; 95%CI: 0.147-0.768; P = 0.013) and weight loss as a predictor of CS refractoriness (OR = 5.662; 95%CI: 1.111-28.857; P = 0.040). After one-month treatment, sustained high Sutherland score (≥ 6) also predicted CS dependence (OR = 2.347; 95%CI: 0.935-5.890; P = 0.014). CONCLUSION: Tenesmus was a negative predictor of CS dependence, while weight loss and sustained high Sutherland score were strongly associated with poor CS response. PMID:25780299

A novel literature-based approach to identify genetic and molecular predictors of survival in glioblastoma multiforme: Analysis of 14,678 patients using systematic review and meta-analytical tools.

PubMed

Thuy, Matthew N T; Kam, Jeremy K T; Lee, Geoffrey C Y; Tao, Peter L; Ling, Dorothy Q; Cheng, Melissa; Goh, Su Kah; Papachristos, Alexander J; Shukla, Lipi; Wall, Krystal-Leigh; Smoll, Nicolas R; Jones, Jordan J; Gikenye, Njeri; Soh, Bob; Moffat, Brad; Johnson, Nick; Drummond, Katharine J

2015-05-01

Glioblastoma multiforme (GBM) has a poor prognosis despite maximal multimodal therapy. Biomarkers of relevance to prognosis which may also identify treatment targets are needed. A few hundred genetic and molecular predictors have been implicated in the literature, however with the exception of IDH1 and O6-MGMT, there is uncertainty regarding their true prognostic relevance. This study analyses reported genetic and molecular predictors of prognosis in GBM. For each, its relationship with univariate overall survival in adults with GBM is described. A systematic search of MEDLINE (1998-July 2010) was performed. Eligible papers studied the effect of any genetic or molecular marker on univariate overall survival in adult patients with histologically diagnosed GBM. Primary outcomes were median survival difference in months and univariate hazard ratios. Analyses included converting 126 Kaplan-Meier curves and 27 raw data sets into primary outcomes. Seventy-four random effects meta-analyses were performed on 39 unique genetic or molecular factors. Objective criteria were designed to classify factors into the categories of clearly prognostic, weakly prognostic, non-prognostic and promising. Included were 304 publications and 174 studies involving 14,678 unique patients from 33 countries. We identified 422 reported genetic and molecular predictors, of which 52 had ⩾2 studies. IDH1 mutation and O6-MGMT were classified as clearly prognostic, validating the methodology. High Ki-67/MIB-1 and loss of heterozygosity of chromosome 10/10q were classified as weakly prognostic. Four factors were classified as non-prognostic and 13 factors were classified as promising and worthy of additional investigation. Funnel plot analysis did not identify any evidence of publication bias. This study demonstrates a novel literature and meta-analytical based approach to maximise the value that can be derived from the plethora of literature reports of molecular and genetic factors in GBM. Caution

Identifying a borderline personality disorder prodrome: Implications for community screening.

PubMed

Stepp, Stephanie D; Lazarus, Sophie A

2017-08-01

Elucidating early signs and symptoms of borderline personality disorder (BPD) has important implications for screening and identifying youth appropriate for early intervention. The purpose of this study was to identify dimensions of child temperament and psychopathology symptom severity that predict conversion to a positive screen for BPD over a 14-year follow-up period in a large, urban community sample of girls (n = 2 450). Parent and teacher reports of child temperament and psychopathology symptom severity assessed when girls were ages 5-8 years were examined as predictors of new-onset BPD cases when girls were ages 14-22 years. In the final model, parent and teacher ratings of emotionality remained significant predictors of new-onset BPD. Additionally, parent ratings of hyperactivity/impulsivity and depression severity, as well as teacher ratings of inattention severity, were also predictive. Results also revealed that elevations in these dimensions pose a notable increase in risk for conversion to BPD over the follow-up period. Supplementary analyses revealed that with the exception of parent-reported depression severity, these same predictors were associated with increases in BPD symptom severity over the follow-up period. These findings suggest BPD onset in adolescence and early adulthood can be detected from parent and teacher reports of temperament and symptom severity dimensions assessed in childhood. The identification of this prodrome holds promise for advancing early detection of children at risk prior to the development of the full-blown disorder. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

PTEN IDENTIFIED AS IMPORTANT RISK FACTOR OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE

PubMed Central

Hosgood, H Dean; Menashe, Idan; He, Xingzhou; Chanock, Stephen; Lan, Qing

2009-01-01

Common genetic variation may play an important role in altering chronic obstructive pulmonary disease (COPD) risk. In Xuanwei, China, the COPD rate is more than twice the Chinese national average, and COPD is strongly associated with in-home coal use. To identify genetic variation that may be associated with COPD in a population with substantial in-home coal smoke exposures, we evaluated 1,261 single nucleotide polymorphisms (SNPs) in 380 candidate genes potentially relevant for cancer and other human diseases in a population-based case-control study in Xuanwei (53 cases; 107 controls). PTEN was the most significantly associated gene with COPD in a minP analysis using 20,000 permutations (P = 0.00005). SNP-based analyses found that homozygote variant carriers of PTEN rs701848 (ORTT = 0.12, 95%CI = 0.03 - 0.47) had a significant decreased risk of COPD. PTEN, or phosphatase and tensin homolog, is an important regulator of cell cycle progression and cellular survival via the AKT signaling pathway. Our exploratory analysis suggests that genetic variation in PTEN may be an important risk factor of COPD in Xuanwei. However, due to the small sample size, additional studies are needed to evaluate these associations within Xuanwei and other populations with coal smoke exposures. PMID:19625176

Sociodemographic predictors of elderly's psychological well-being in Malaysia.

PubMed

Momtaz, Yadollah A; Ibrahim, Rahimah; Hamid, Tengku A; Yahaya, Nurizan

2011-05-01

Psychological well-being as one of the most important indicators of successful aging has received substantial attention in the gerontological literature. Prior studies show that sociodemographic factors influencing elderly's psychological well-being are multiple and differ across cultures. The aim of this study was to identify significant sociodemographic predictors of psychological well-being among Malay elders. The study included 1415 older Malays (60-100 years, 722 women), randomly selected through a multistage stratified random method from Peninsular Malaysia. WHO-Five well-being index was used to measure psychological well-being. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) version 13.0. Using multiple regression analysis a significant model emerged (F(7, 1407) = 20.14, p ≤ 0.001), where age, sex, marital status, and household income were significant predictor variables of psychological well-being among Malay elders. However, level of education, employment status, and place of residence failed to predict psychological well-being. This study showed that the oldest old, elderly women, unmarried, and the poor elderly people are at risk for experiencing low psychological well-being. Therefore, they need special attention from family, policy makers, and those who work with elderly people.

Early Predictors of Global Functional Outcome After Traumatic Spinal Cord Injury: A Systematic Review.

PubMed

Richard-Denis, Andréane; Beauséjour, Marie; Thompson, Cynthia; Nguyen, Bich-Han; Mac-Thiong, Jean-Marc

2018-04-17

Accurately predicting functional recovery is an asset for all clinicians and decision makers involved in the care of patients with acute traumatic spinal cord injury (TSCI). Unfortunately, there is a lack of information on the relative importance of significant predictors of global functional outcome. There is also a need for identifying functional predictors that can be timely optimized by the medical and rehabilitation teams throughout the hospitalizations phases. The main objective of this work was to systematically review and rate early factors that are consistently and independently associated with global functional outcome in individuals with TSCI. A literature search using MEDLINE, EMBASE, and Cochrane databases from January 1, 1970 to April 1, 2017 was performed. Two authors independently reviewed the titles and abstracts yielded by this literature search and subsequently selected studies to be included based on predetermined eligibility criteria. Disagreements were resolved by a consensus-based discussion, and if not, by an external reviewer. Data were extracted by three independent reviewers using a standardized table. The quality of evidence of the individual studies was assessed based on the Oxford Center for Evidence-Based Medicine modified by Wright and colleagues (2000) as well as the National Institutes of Health (2014). Fifteen articles identifying early clinical predictors of functional outcome using multiple regression analyses were included in this systematic review. Based on the compiled data, this review proposes a rating of early factors associated to global functional outcome according to their importance and their potential to be modified by the medical/rehabilitation team throughout the early phases of hospitalization. It also proposes a new conceptual framework that illustrates the impact of specific categories of factors and their interaction with each other. Ultimately, this review aims to guide clinicians and researchers in improving

Childhood Predictors of Teen Dating Violence Victimization

PubMed Central

Maas, Carl D.; Fleming, Charles B.; Herrenkohl, Todd I.; Catalano, Richard F.

2009-01-01

Most research on predictors of teen dating violence (TDV) has used cross-sectional data, which weakens predictive modeling and hypothesis testing analyses. This study uses prospective and retrospective longitudinal data on a community sample to examine previously identified predictors of TDV victimization and pathways from childhood risk and protection to TDV victimization. Data are from 941 participants in the Raising Healthy Children project. Bivariate analyses found associations in the expected direction between potential predictors and TDV victimization. For girls, a multivariate path model indicated that higher levels of bonding to parents and social skills protected against TDV victimizations, partly by reducing early adolescent alcohol use. While externalizing and internalizing behaviors in early adolescence were predicted by childhood risk and protective factors for girls, neither uniquely predicted TDV victimization. For boys, there was an indirect path from childhood bonding to parents to TDV victimization through early adolescent externalizing behavior. PMID:20514813

Predictor variable resolution governs modeled soil types

USDA-ARS?s Scientific Manuscript database

Soil mapping identifies different soil types by compressing a unique suite of spatial patterns and processes across multiple spatial scales. It can be quite difficult to quantify spatial patterns of soil properties with remotely sensed predictor variables. More specifically, matching the right scale...

Optimising predictor domains for spatially coherent precipitation downscaling

NASA Astrophysics Data System (ADS)

Radanovics, S.; Vidal, J.-P.; Sauquet, E.; Ben Daoud, A.; Bontron, G.

2012-04-01

Relationships between local precipitation (predictands) and large-scale circulation (predictors) are used for statistical downscaling purposes in various contexts, from medium-term forecasting to climate change impact studies. For hydrological purposes like flood forecasting, the downscaled precipitation spatial fields have furthermore to be coherent over possibly large basins. This thus first requires to know what predictor domain can be associated to the precipitation over each part of the studied basin. This study addresses this issue by identifying the optimum predictor domains over the whole of France, for a specific downscaling method based on a analogue approach and developed by Ben Daoud et al. (2011). The downscaling method used here is based on analogies on different variables: temperature, relative humidity, vertical velocity and geopotentials. The optimum predictor domain has been found to consist of the nearest grid cell for all variables except geopotentials (Ben Daoud et al., 2011). Moreover, geopotential domains have been found to be sensitive to the target location by Obled et al. (2002), and the present study thus focuses on optimizing the domains of this specific predictor over France. The predictor domains for geopotential at 500 hPa and 1000 hPa are optimised for 608 climatologically homogeneous zones in France using the ERA-40 reanalysis data for the large-scale predictors and local precipitation from the Safran near-surface atmospheric reanalysis (Vidal et al., 2010). The similarity of geopotential fields is measured by the Teweles and Wobus shape criterion. The predictive skill of different predictor domains for the different regions is tested with the Continuous Ranked Probability Score (CRPS) for the 25 best analogue days found with the statistical downscaling method. Rectangular predictor domains of different sizes, shapes and locations are tested, and the one that leads to the smallest CRPS for the zone in question is retained. The

Predictors of health-related quality of life changes after lifestyle intervention in persons at risk of type 2 diabetes mellitus.

PubMed

Nilsen, Vegard; Bakke, Per Sigvald; Rohde, Gudrun; Gallefoss, Frode

2014-11-01

To assess health-related quality of life (HRQOL) of subjects at risk of type 2 diabetes undergoing lifestyle intervention, and predictors for improved HRQOL. The Finnish Diabetes Risk Score was used by general practitioners to identify individuals at risk. Low-intensity interventions with an 18-month follow-up were employed. HRQOL was assessed using the SF-36 at baseline and compared with results from a general Norwegian population survey and further at 6 and 18 months. Simple and multiple linear regression analyses were applied to identify predictors of changes in HRQOL of clinical importance. Two hundred and thirteen participants (50 % women; mean age: 46 years, mean body mass index: 37) were included: 182 returned for 18-month follow-up, of whom 172 completed the HRQOL questionnaire. HRQOL was reduced with clinical significance compared with general Norwegians. The mean changes in HRQOL from the baseline to the follow-up were not of clinical importance. However, one out of three individuals achieved a moderate or large clinical improvement in HRQOL. The best determinant for improved HRQOL was obtained for a composite, clinically significant lifestyle change, i.e. both a weight reduction of at least 5 % and an improvement in exercise capacity of at least 10 %, which was associated with an improvement in five out of the eight SF-36 domains. Subjects at risk of type 2 diabetes report a clinically important reduction in HRQOL compared with general Norwegians. The best predictor of improved HRQOL was a small weight loss combined with a small improvement in aerobic capacity.

Religiosity and Authoritarianism as Predictors of Attitude toward the Disabled: A Regression Analysis.

ERIC Educational Resources Information Center

Tunick, Roy H.; And Others

1979-01-01

This study identifies predictors and correlates of attitudes toward the disabled. Authoritarianism, church attendance, religious orthodoxy, age, and education were significantly related to these attitudes of people in a Rocky Mountain Community. Significant predictors of the criterion were authoritarianism, religiosity, and age. Recommendations…

Predictors of subjective health status 10 years post-PCI.

PubMed

van den Berge, Jan C; Dulfer, Karolijn; Utens, Elisabeth M W J; Hartman, Eline M J; Daemen, Joost; van Geuns, Robert J; van Domburg, Ron T

2016-06-01

Subjective health status is an increasingly important parameter to assess the effect of percutaneous coronary intervention (PCI) in clinical practice. Aim of this study was to determine medical and psychosocial predictors of poor subjective health status over a 10 years' post-PCI period. We included a series of consecutive PCI patients (n = 573) as part of the RESEARCH registry, a Dutch single-center retrospective cohort study. These patients completed the 36-item Short-Form Health Survey (SF-36) at baseline and 10 years post-PCI. We found 6 predictors of poor subjective health status 10 years post-PCI: SF-36 at baseline, age, previous PCI, obesity, acute myocardial infarction as indication for PCI, and diabetes mellitus (arranged from most to least numbers of sub domains). SF-36 scores at baseline, age, and previous PCI were significant predictors of subjective health status 10 years post-PCI. Specifically, the SF-36 score at baseline was an important predictor. Thus assessment of subjective health status at baseline is useful as an indicator to predict long-term subjective health status. Subjective health status becomes better by optimal medical treatment, cardiac rehabilitation and psychosocial support. This is the first study determining predictors of subjective health status 10 years post-PCI.

Developmental trajectories of paediatric headache - sex-specific analyses and predictors.

PubMed

Isensee, Corinna; Fernandez Castelao, Carolin; Kröner-Herwig, Birgit

2016-01-01

Headache is the most common pain disorder in children and adolescents and is associated with diverse dysfunctions and psychological symptoms. Several studies evidenced sex-specific differences in headache frequency. Until now no study exists that examined sex-specific patterns of change in paediatric headache across time and included pain-related somatic and (socio-)psychological predictors. Latent Class Growth Analysis (LCGA) was used in order to identify different trajectory classes of headache across four annual time points in a population-based sample (n = 3 227; mean age 11.34 years; 51.2 % girls). In multinomial logistic regression analyses the influence of several predictors on the class membership was examined. For girls, a four-class model was identified as the best fitting model. While the majority of girls reported no (30.5 %) or moderate headache frequencies (32.5 %) across time, one class with a high level of headache days (20.8 %) and a class with an increasing headache frequency across time (16.2 %) were identified. For boys a two class model with a 'no headache class' (48.6 %) and 'moderate headache class' (51.4 %) showed the best model fit. Regarding logistic regression analyses, migraine and parental headache proved to be stable predictors across sexes. Depression/anxiety was a significant predictor for all pain classes in girls. Life events, dysfunctional stress coping and school burden were also able to differentiate at least between some classes in both sexes. The identified trajectories reflect sex-specific differences in paediatric headache, as seen in the number and type of classes extracted. The documented risk factors can deliver ideas for preventive actions and considerations for treatment programmes.

Psychological and sociocultural adjustment of first-year international students: Trajectories and predictors.

PubMed

Hirai, Reiko; Frazier, Patricia; Syed, Moin

2015-07-01

Despite the increasing number of international students in U.S. universities, the temporal course of international students' adjustment has not been adequately tested, and only 1 study to date has examined multiple trajectories of adjustment. Therefore, the first goal of the current study was to explore multiple trajectories of adjustment among first-year international students using a broader range of adjustment measures (i.e., psychological distress, positive psychological adjustment, sociocultural adjustment). The second goal was to identify important predictors of trajectories. A wide range of individual and interpersonal predictor variables was examined, including academic stress and perceived control over academic stress, personality, social relationships, and language-related factors. Undergraduate and graduate international students in their first semester at a large midwestern university participated in this 5-wave longitudinal study (N = 248) that spanned 1 academic year. Multiple trajectories emerged, and the trajectories varied across the 3 adjustment measures. Average trajectories masked the trajectories of small groups of students who maintained or increased in terms of adjustment difficulties across outcomes. Contrary to popular theories, the U-shape adjustment trajectory (characterized by initial euphoria, distress, and then recovery) did not emerge. The most consistent predictors of adjustment trajectories were perceived present control over academic stress and Neuroticism. (c) 2015 APA, all rights reserved).

Latinos in science: Identifying factors that influence the low percentage of Latino representation in the sciences

NASA Astrophysics Data System (ADS)

Miranda, Susan Jennifer

A mixed methods approach was used to identify factors that influence the underrepresentation of Latinos in the domain of science. The researcher investigated the role of family influences, academic preparation, and personal motivations to determine science-related career choices by Latinos. Binary logistic regression analyses were conducted using information from Latinos gathered from the National Education Longitudinal Study of 1988 (NELS: 88) administered by the National Center for Education Statistics. For the present study, data were analyzed using participants' responses as high school seniors, college students, and post-baccalaureates. Students responded to questions on school, work, parental academic influences, personal aspirations, and self-perception. To provide more insight into the experiences of Latinos in science and support the statistical analyses, nine students majoring in science in a private, urban university located in the northeastern part of the country were interviewed. Eleven variables related to parents' academic support and students' perceptions of parental support were taken together as predictors for two separate criteria from the survey. These results identified parents' level of education and the importance of academics to parents in their teen's college choice as significant predictors in determining college major in science. When the criterion was degree in science, the significant predictor was the frequency parents contacted high school as volunteers. Student interviews supported this information, demonstrating the importance of parental support in attaining a degree in science. Academic preparation was also analyzed. Students' reasons for taking science classes in high school was a significant predictor for science major; significant predictors for science degree were the emphasis placed on objectives in math and science classes and number of courses in biology and physics. Student interviews supported this information and

Predictors of women's exercise maintenance after cardiac rehabilitation.

PubMed

Moore, Shirley M; Dolansky, Mary A; Ruland, Cornelia M; Pashkow, Fredric J; Blackburn, Gordon G

2003-01-01

Less than 50% of persons who participate in cardiac rehabilitation (CR) programs maintain an exercise regimen for as long as 6 months after completion. This study was conducted to identify factors that predict women's exercise following completion of a CR program. In this prospective, descriptive study, a convenience sample of 60 women were recruited at completion of a phase II CR program. Exercise was measured using a heart rate wristwatch monitor over 3 months. Predictor variables collected at the time of the subjects' enrollment were age, body mass index, cardiac functional status, comorbidity, muscle or joint pain, motivation, mood state, social support, self-efficacy, perceived benefits or barriers, and prior exercise. Of women, 25% did not exercise at all following completion of a CR program and only 48% of the subjects were exercising at 3 months. Different predictors were found of the various dimensions of exercise maintenance. Predictors of exercise frequency were comorbidity and instrumental social support. Instrumental social support was the only predictor of exercise persistence. Comorbidity was the only predictor of exercise intensity. The only predictor of the total amount of exercise was benefits or barriers. Interventions aimed at increasing women's exercise should focus on increasing their problem-solving abilities to reduce barriers to exercise and increase social support by family and friends. Because comorbidity was a significant predictor of exercise, women should be encouraged to use exercise techniques that reduce impact on muscles and joints (eg, swimming) or exercising for short periods several times a day.

Predictors of smoking among male college students in Saudi Arabia.

PubMed

Almogbel, Y S; Abughosh, S M; Almogbel, F S; Alhaidar, I A; Sansgiry, S S

2013-11-01

Identifying the predictors of smoking in one of the top cigarette-consuming countries in the world is a vital step in smoking prevention. A cross-sectional study assessed the predictors of smoking in a cohort of male students in 3 universities in Saudi Arabia. A pre-tested, validated questionnaire was used to determine sociodemographic characteristics, academic performance, peers' smoking, and presence of a smoker within the family. Of the 337 participants, 30.9% were current smokers (smoked 1 or more cigarettes within the last 30 days). Lower academic performance (OR = 2.29, 95% CI: 1.02-5.17), peer smoking (OR = 4.14, 95% CI: 1.53-11.3) and presence of other smokers in the family (OR = 2.77, 95% CI: 1.37-5.64) were the significant predictors of smoking status identified using multiple logistic regression analysis. These findings highlight the influence of family and peer pressure in initiating cigarette use among the youth of Saudi Arabia.

Predictors of Academic Achievement for Elementary Teacher Education Students in Turkey

ERIC Educational Resources Information Center

Buyukozturk, Sener

2004-01-01

Studies examining the important predictors of academic achievement of elementary teacher education students help us to understand the predictors of student achievement. These studies (House, 2000b; Ting & Bryant, 2001; Zheng, Saunders, Shelley, & Whalen, 2002)focus on the relationship between academic achievement and a number of cognitive…

Predictors of Sunburn Risk Among Florida Residents.

PubMed

Arutyunyan, Sergey; Alfonso, Sarah V; Hernandez, Nilda; Favreau, Tracy; Fernández, M Isabel

2017-03-01

The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high. To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida. Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn. A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; P<.001). Other significant predictors included identifying as nonwhite (OR, 0.51; 95% CI, 0.29-0.90; P<.02), having had a full-body skin examination by a physician (OR, 1.8; 95% CI, 1.03-3.14; P<.04), reporting higher levels of skin sensitivity to the sun (OR, 4.63; 95% CI, 2.07-10.34; P<.001), having a less favorable attitude toward sun protection (OR, 0.88; 95% CI, 0.81-0.94; P<.001), having high perceived vulnerability to skin cancer (OR, 1.21; 95% CI, 1.05-1.41; P<.009), and spending less than 1 hour outside between 10 am and 4 pm on weekends (OR, 0.46; 95% CI, 0.22-0.96; P<.04). The model was statistically significant at P<.001 and correctly classified 78% of participants. Sunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.

Predictors of suicidal ideation in older people: a decision tree analysis.

PubMed

Handley, Tonelle E; Hiles, Sarah A; Inder, Kerry J; Kay-Lambkin, Frances J; Kelly, Brian J; Lewin, Terry J; McEvoy, Mark; Peel, Roseanne; Attia, John R

2014-11-01

Suicide among older adults is a major public health issue worldwide. Although studies have identified psychological, physical, and social contributors to suicidal thoughts in older adults, few have explored the specific interactions between these factors. This article used a novel statistical approach to explore predictors of suicidal ideation in a community-based sample of older adults. Prospective cohort study. Participants aged 55-85 years were randomly selected from the Hunter Region, a large regional center in New South Wales, Australia. Baseline psychological, physical, and social factors, including psychological distress, physical functioning, and social support, were used to predict suicidal ideation at the 5-year follow-up. Classification and regression tree modeling was used to determine specific risk profiles for participants depending on their individual well-being in each of these key areas. Psychological distress was the strongest predictor, with 25% of people with high distress reporting suicidal ideation. Within high psychological distress, lower physical functioning significantly increased the likelihood of suicidal ideation, with high distress and low functioning being associated with ideation in 50% of cases. A substantial subgroup reported suicidal ideation in the absence of psychological distress; dissatisfaction with social support was the most important predictor among this group. The performance of the model was high (area under the curve: 0.81). Decision tree modeling enabled individualized "risk" profiles for suicidal ideation to be determined. Although psychological factors are important for predicting suicidal ideation, both physical and social factors significantly improved the predictive ability of the model. Assessing these factors may enhance identification of older people at risk of suicidal ideation. Copyright © 2014. Published by Elsevier Inc.

Predictors of Longitudinal Quality of Life in Juvenile Localized Scleroderma.

PubMed

Ardalan, Kaveh; Zigler, Christina K; Torok, Kathryn S

2017-07-01

Localized scleroderma can negatively affect children's quality of life (QoL), but predictors of impact have not been well described. We sought to identify predictors of QoL impact in juvenile localized scleroderma patients. We analyzed longitudinal data from a single-center cohort of juvenile localized scleroderma patients, using hierarchical generalized linear modeling (HGLM) to identify predictors of QoL impact. HGLM is useful for nested data and allows for evaluation of both time-variant and time-invariant predictors. The number of extracutaneous manifestations (ECMs; e.g., joint contracture and hemifacial atrophy) and female sex predicted negative QoL impact, defined as a Children's Dermatology Life Quality Index score >1 (P = 0.019 for ECMs and P = 0.002 for female sex). As the time since the initial visit increased, the odds of reporting a negative QoL impact decreased (P < 0.001). Our results suggest that ECMs, sex, and time since initial visit are more predictive of QoL impact in localized scleroderma than cutaneous features. Further study is required to determine which ECMs have the most impact on QoL, which factors underlie sex differences in QoL in localized scleroderma, and why increasing the time since the initial visit appears to be protective. An improved understanding of predictors of QoL impact may allow for the identification of patients at risk of poorer outcomes and for the tailoring of treatment and psychosocial support. © 2016, American College of Rheumatology.

Psychological predictors of weight loss after bariatric surgery: a review of the recent research.

PubMed

Wimmelmann, Cathrine L; Dela, Flemming; Mortensen, Erik L

2014-01-01

Morbid obesity is the fastest growing BMI group in the U.S. and the prevalence of morbid obesity worldwide has never been higher. Bariatric surgery is the most effective treatment for severe forms of obesity especially with regard to a sustained long-term weight loss. Psychological factors are thought to play an important role for maintaining the surgical weight loss. However, results from prior research examining preoperative psychological predictors of weight loss outcome are inconsistent. The aim of this article was to review more recent literature on psychological predictors of surgical weight loss. We searched PubMed, PsycInfo and Web of Science, for original prospective studies with a sample size >30 and at least one year follow-up, using a combination of search terms such as 'bariatric surgery', 'morbid obesity', 'psychological predictors', and 'weight loss'. Only studies published after 2003 were included. 19 eligible studies were identified. Psychological predictors of surgical weight loss investigated in the reviewed studies include cognitive function, personality, psychiatric disorder, and eating behaviour. In general, recent research remains inconsistent, but the findings suggest that pre-surgical cognitive function, personality, mental health, composite psychological variables and binge eating may predict post-surgical weight loss to the extent that these factors influence post-operative eating behaviour. Copyright © 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Neonatal White Matter Abnormalities an Important Predictor of Neurocognitive Outcome for Very Preterm Children

PubMed Central

Woodward, Lianne J.; Clark, Caron A. C.; Bora, Samudragupta; Inder, Terrie E.

2012-01-01

Background Cerebral white matter abnormalities on term MRI are a strong predictor of motor disability in children born very preterm. However, their contribution to cognitive impairment is less certain. Objective Examine relationships between the presence and severity of cerebral white matter abnormalities on neonatal MRI and a range of neurocognitive outcomes assessed at ages 4 and 6 years. Design/Methods The study sample consisted of a regionally representative cohort of 104 very preterm (≤32 weeks gestation) infants born from 1998–2000 and a comparison group of 107 full-term infants. At term equivalent, all preterm infants underwent a structural MRI scan that was analyzed qualitatively for the presence and severity of cerebral white matter abnormalities, including cysts, signal abnormalities, loss of white matter volume, ventriculomegaly, and corpus callosal thinning/myelination. At corrected ages 4 and 6 years, all children underwent a comprehensive neurodevelopmental assessment that included measures of general intellectual ability, language development, and executive functioning. Results At 4 and 6 years, very preterm children without cerebral white matter abnormalities showed no apparent neurocognitive impairments relative to their full-term peers on any of the domain specific measures of intelligence, language, and executive functioning. In contrast, children born very preterm with mild and moderate-to-severe white matter abnormalities were characterized by performance impairments across all measures and time points, with more severe cerebral abnormalities being associated with increased risks of cognitive impairment. These associations persisted after adjustment for gender, neonatal medical risk factors, and family social risk. Conclusions Findings highlight the importance of cerebral white matter connectivity for later intact cognitive functioning amongst children born very preterm. Preterm born children without cerebral white matter abnormalities on

The Hispanic Americans Baseline Alcohol Survey (HABLAS): predictors of alcohol attitudes and expectancies in Hispanic national groups.

PubMed

Mills, Britain A; Caetano, Raul

2010-05-01

Multiple theoretical frameworks identify attitudes and expectancies as important predictors of alcohol behavior. Few studies have examined demographic predictors of these evaluative and belief-based cognitive mediators in the general population, and none have examined them in large-scale studies of Hispanics, a group at higher risk for drinking behavior and problems. This study probes the extent to which dimensions of attitudes and expectancies share common demographic predictors in a large sample of Puerto Ricans, Cuban-Americans, Mexican-Americans, and South/Central Americans. The 2006 Hispanic Americans Baseline Alcohol Survey (HABLAS) used a multistage cluster sample design to interview 5,224 individuals randomly selected from households in Miami, New York, Philadelphia, Houston, and Los Angeles. This study focused on 2,773 respondents self-identified as current drinkers. Multiple linear regression was used to identify predictors of positive and negative dimensions of attitudes and expectancies, controlling for various background variables. Religious affiliation selectively predicted alcohol attitudes, with Catholics having more positive and fewer negative attitudes than other religious groups. Hispanic group selectively predicted alcohol expectancies, with Cuban-Americans having less positive and less negative expectancies than other groups. Being U.S.-born or male predicted more positive attitudes and expectancies, but birthplace and gender did not predict negative dimensions of attitudes or expectancies. Higher acculturation and more education were linked to a decreased tendency to agree with any item. Age was positively and negatively associated with negative expectancies and positive attitudes, respectively, and having never been married, higher income, and unemployment were each linked to fewer negative attitudes. Although there is some overlap, attitudes and expectancies are influenced by different sociodemographic variables. Positive and negative

Cognitive predictors of children's development in mathematics achievement: A latent growth modeling approach.

PubMed

Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M

2018-04-24

Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change in mathematics achievement is scarce. We assessed 334 children's domain-general and mathematics-specific early cognitive abilities and their general mathematics achievement longitudinally across four time-points within the first and second grades of primary school. As expected, a constellation of multiple cognitive abilities contributed to the children's starting level of mathematical success. Specifically, latent growth modeling revealed that WM abilities, IQ, counting skills, nonsymbolic and symbolic approximate arithmetic and comparison skills explained individual differences in the children's initial status on a curriculum-based general mathematics achievement test. Surprisingly, however, only one out of all the assessed cognitive abilities was a unique predictor of the children's individual growth rates in mathematics achievement: their performance in the symbolic approximate addition task. In this task, children were asked to estimate the sum of two large numbers and decide if this estimated sum was smaller or larger compared to a third number. Our findings demonstrate the importance of multiple domain-general and mathematics-specific cognitive skills for identifying children at risk of struggling with mathematics and highlight the significance of early approximate arithmetic skills for the development of one's mathematical success. We argue the need for more research focus on explaining children's individual growth rates in mathematics achievement. © 2018 John Wiley & Sons Ltd.

Predictors of Adolescent Successful Development after an Exchange: The Importance of Activity Qualities and Youth Input

ERIC Educational Resources Information Center

Lawford, Heather L.; Ramey, Heather L.; Rose-Krasnor, Linda; Proctor, Andrea S.

2012-01-01

The purpose of this study is to examine the factors involved in predicting successful development after an intensive exchange experience in adolescence. Specifically, we considered the eight positive features, as conceptualized by Eccles and Gootman (2002), as well as the amount of input youth had into their exchange experience as predictors of…

Predictors of symptom severity in patients with chronic prostatitis and interstitial cystitis.

PubMed

Clemens, J Quentin; Brown, Sheila O; Kozloff, Lara; Calhoun, Elizabeth A

2006-03-01

Numerous studies have been performed to identify potential risk factors for CP/CPPS and IC. However, few studies have been done to identify predictors of disease severity. A total of 174 men with CP/CPPS and 111 women with IC completed questionnaires to quantify symptom severity and identify demographic, medical and psychosocial characteristics. Symptom severity was assessed with the National Institutes of Health CPSI in men, and the O'Leary-Sant ICSI and problem index in women. Univariate and multivariate analyses were performed to identify characteristics predictive of worse symptoms. The mean National Institutes of Health CPSI score in men was 15.32, and the mean O'Leary-Sant ICSI and problem index in women was 19.17. The most commonly reported comorbidities were allergies, sinusitis, erectile dysfunction and irritable bowel syndrome in men, and allergies, urinary incontinence, sinusitis and irritable bowel syndrome in women. In the 2 sexes self-reported urinary frequency and urgency, worse depression scores and lower education level were independent predictors of worse symptom severity. In men additional independent predictors were self-reported pelvic pain, fibromyalgia and previous heart attack, and in women an additional independent predictor was postmenopausal status. There are several common medical conditions associated with urological pelvic pain syndromes in men and women. Few of them were predictive of symptoms severity in this analysis. Self-reported pelvic pain symptoms, education and depression severity were the factors most strongly predictive of symptom severity in patients with CP/CPPS and IC.

Changes in Situational and Dispositional Factors as Predictors of Job Satisfaction

ERIC Educational Resources Information Center

Keller, Anita C.; Semmer, Norbert K.

2013-01-01

Arguably, job satisfaction is one of the most important variables with regard to work. When explaining job satisfaction, research usually focuses on predictor variables in terms of levels but neglects growth rates. Therefore it remains unclear how potential predictors evolve over time and how their development affects job satisfaction. Using…

Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial

PubMed Central

2012-01-01

Background Limited controlled data exist to guide treatment choices for clinicians caring for patients with major depressive disorder (MDD). Although many putative predictors of treatment response have been reported, most were identified through retrospective analyses of existing datasets and very few have been replicated in a manner that can impact clinical practice. One major confound in previous studies examining predictors of treatment response is the patient’s treatment history, which may affect both the predictor of interest and treatment outcomes. Moreover, prior treatment history provides an important source of selection bias, thereby limiting generalizability. Consequently, we initiated a randomized clinical trial designed to identify factors that moderate response to three treatments for MDD among patients never treated previously for the condition. Methods/design Treatment-naïve adults aged 18 to 65 years with moderate-to-severe, non-psychotic MDD are randomized equally to one of three 12-week treatment arms: (1) cognitive behavior therapy (CBT, 16 sessions); (2) duloxetine (30–60 mg/d); or (3) escitalopram (10–20 mg/d). Prior to randomization, patients undergo multiple assessments, including resting state functional magnetic resonance imaging (fMRI), immune markers, DNA and gene expression products, and dexamethasone-corticotropin-releasing hormone (Dex/CRH) testing. Prior to or shortly after randomization, patients also complete a comprehensive personality assessment. Repeat assessment of the biological measures (fMRI, immune markers, and gene expression products) occurs at an early time-point in treatment, and upon completion of 12-week treatment, when a second Dex/CRH test is also conducted. Patients remitting by the end of this acute treatment phase are then eligible to enter a 21-month follow-up phase, with quarterly visits to monitor for recurrence. Non-remitters are offered augmentation treatment for a second 12-week course of

iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach.

PubMed

Liu, Bin; Li, Kai; Huang, De-Shuang; Chou, Kuo-Chen

2018-06-07

Identification of enhancers and their strength is important because they play a critical role in controlling gene expression. Although some bioinformatics tools were developed, they are limited in discriminating enhancers from non-enhancers only. Recently, a two-layer predictor called "iEnhancer-2L" was developed that can be used to predict the enhancer's strength as well. However, its prediction quality needs further improvement to enhance the practical application value. A new predictor called "iEnhancer-EL" was proposed that contains two layer predictors: the first one (for identifying enhancers) is formed by fusing an array of six key individual classifiers, and the second one (for their strength) formed by fusing an array of ten key individual classifiers. All these key classifiers were selected from 171 elementary classifiers formed by SVM (Support Vector Machine) based on kmer, subsequence profile, and PseKNC (Pseudo K-tuple Nucleotide Composition), respectively. Rigorous cross-validations have indicated that the proposed predictor is remarkably superior to the existing state-of-the-art one in this area. A web server for the iEnhancer-EL has been established at http://bioinformatics.hitsz.edu.cn/iEnhancer-EL/, by which users can easily get their desired results without the need to go through the mathematical details. bliu@hit.edu.cn, dshuang@tongji.edu.cn or kcchou@gordonlifescience.org. Supplementary data are available at Bioinformatics online.

Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance

PubMed Central

Hammer, Eva M.; Halder, Sebastian; Kleih, Sonja C.; Kübler, Andrea

2018-01-01

Brain-Computer Interfaces (BCIs) provide communication channels independent from muscular control. In the current study we used two versions of the P300-BCI: one based on visual the other on auditory stimulation. Up to now, data on the impact of psychological variables on P300-BCI control are scarce. Hence, our goal was to identify new predictors with a comprehensive psychological test-battery. A total of N = 40 healthy BCI novices took part in a visual and an auditory BCI session. Psychological variables were measured with an electronic test-battery including clinical, personality, and performance tests. The personality factor “emotional stability” was negatively correlated (Spearman's rho = −0.416; p < 0.01) and an output variable of the non-verbal learning test (NVLT), which can be interpreted as ability to learn, correlated positively (Spearman's rho = 0.412; p < 0.01) with visual P300-BCI performance. In a linear regression analysis both independent variables explained 24% of the variance. “Emotional stability” was also negatively related to auditory P300-BCI performance (Spearman's rho = −0.377; p < 0.05), but failed significance in the regression analysis. Psychological parameters seem to play a moderate role in visual P300-BCI performance. “Emotional stability” was identified as a new predictor, indicating that BCI users who characterize themselves as calm and rational showed worse BCI performance. The positive relation of the ability to learn and BCI performance corroborates the notion that also for P300 based BCIs learning may constitute an important factor. Further studies are needed to consolidate or reject the presented predictors. PMID:29867319

A Review of the Relationship Between Socioeconomic Position and the Early-Life Predictors of Obesity.

PubMed

Cameron, Adrian J; Spence, Alison C; Laws, Rachel; Hesketh, Kylie D; Lioret, Sandrine; Campbell, Karen J

2015-09-01

A range of important early-life predictors of later obesity have been identified. Children of lower socioeconomic position (SEP) have a steeper weight gain trajectory from birth with a strong socioeconomic gradient in child and adult obesity prevalence. An assessment of the association between SEP and the early-life predictors of obesity has been lacking. The review involved a two-stage process: Part 1, using previously published systematic reviews, we developed a list of the potentially modifiable determinants of obesity observable in the pre-natal, peri-natal or post-natal (pre-school) periods; and part 2, conducting a literature review of evidence for socioeconomic patterning in the determinants identified in part 1. Strong evidence was found for an inverse relationship between SEP and (1) pre-natal risk factors (pre-pregnancy maternal body mass index (BMI), diabetes and pre-pregnancy diet), (2) antenatal/peri natal risk factors (smoking during pregnancy and low birth weight) and (3) early-life nutrition (including breastfeeding initiation and duration, early introduction of solids, maternal and infant diet quality, and some aspects of the home food environment), and television viewing in young children. Less strong evidence (because of a lack of studies for some factors) was found for paternal BMI, maternal weight gain during pregnancy, child sleep duration, high birth weight and lack of physical activity in young children. A strong socioeconomic gradient exists for the majority of the early-life predictors of obesity suggesting that the die is cast very early in life (even pre-conception). Lifestyle interventions targeting disadvantaged women at or before child-bearing age may therefore be particularly important in reducing inequality. Given the likely challenges of reaching this target population, it may be that during pregnancy and their child's early years are more feasible windows for engagement.

Height gain during early childhood is an important predictor of schooling and mathematics ability outcomes.

PubMed

Gandhi, Mihir; Ashorn, Per; Maleta, Kenneth; Teivaanmäki, Tiina; Duan, Xiaolian; Cheung, Yin Bun

2011-08-01

To examine the association between height gain at different stages of early childhood and schooling and cognitive outcomes in 12-year-old Malawian children. A prospective cohort study looking at the growth and development of 325 rural Malawian children. Main outcome measures were highest school grade completed, number of times repeating grades and percentage of correctly answered mathematical questions at 12 years of age. Height-for-age at 1 month and conditional height gain for 6, 18 and 60 months were used as predictors. Ordinal logistic and linear regression analyses were used to estimate the association and adjust for confounder. The conditional height gain during 18-60 months was positively associated with mathematics test results (p=0.003) and negatively associated with number of times repeating grades (p=0.011). It was not significantly associated with highest grade completed (p=0.194) if those who never attended school were included as having completed zero grade, but was positively (p=0.049) associated with this outcome among those who ever attended school. Height gain during the 18-60 months period of age was related to schooling and mathematics ability at age 12 years. The importance of promoting catch-up growth after the period when stunting is common should receive attention. © 2011 The Author(s)/Acta Paediatrica © 2011 Foundation Acta Paediatrica.

Modifiable predictors of depression following childhood maltreatment: a systematic review and meta-analysis

PubMed Central

Braithwaite, E C; O'Connor, R M; Degli-Esposti, M; Luke, N; Bowes, L

2017-01-01

Although maltreatment experiences in childhood increase the risk for depression, not all maltreated children become depressed. This review aims to systematically examine the existing literature to identify modifiable factors that increase vulnerability to, or act as a buffer against, depression, and could therefore inform the development of targeted interventions. Thirteen databases (including Medline, PsychINFO, SCOPUS) were searched (between 1984 and 2014) for prospective, longitudinal studies published in English that included at least 300 participants and assessed associations between childhood maltreatment and later depression. The study quality was assessed using an adapted Newcastle–Ottawa Scale checklist. Meta-analyses (random effects models) were performed on combined data to estimate the effect size of the association between maltreatment and depression. Meta-regressions were used to explore effects of study size and quality. We identified 22 eligible articles (N=12 210 participants), of which 6 examined potential modifiable predictors of depression following maltreatment. No more than two studies examined the same modifiable predictor; therefore, it was not possible to examine combined effects of modifiable predictors with meta-regression. It is thus difficult to draw firm conclusions from this study, but initial findings indicate that interpersonal relationships, cognitive vulnerabilities and behavioral difficulties may be modifiable predictors of depression following maltreatment. There is a lack of well-designed, prospective studies on modifiable predictors of depression following maltreatment. A small amount of initial research suggests that modifiable predictors of depression may be specific to maltreatment subtypes and gender. Corroboration and further investigation of causal mechanisms is required to identify novel targets for intervention, and to inform guidelines for the effective treatment of maltreated children. PMID:28675390

Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

PubMed

Whittle, Rebecca; Peat, George; Belcher, John; Collins, Gary S; Riley, Richard D

2018-05-18

Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted. Susceptibility to measurement error for each predictor was classified into low and high risk. Thirty-three studies were reviewed, including 151 different predictors in the final prediction models. Fifty-one (33.7%) predictors were categorised as high risk of error, however this was not accounted for in the model development. Only 8 (24.2%) studies explicitly stated the intended moment of model use and when the predictors were measured. Reporting of measurement error and intended moment of model use is poor in prediction model studies. There is a need to identify circumstances where ignoring measurement error in prediction models is consequential and whether accounting for the error will improve the predictions. Copyright © 2018. Published by Elsevier Inc.

Predictors of 12-Months Relapse After Withdrawal Treatment in Hospitalized Patients With Chronic Migraine Associated With Medication Overuse: A Longitudinal Observational Study.

PubMed

Raggi, Alberto; Giovannetti, Ambra M; Leonardi, Matilde; Sansone, Emanuela; Schiavolin, Silvia; Curone, Marcella; Grazzi, Licia; Usai, Susanna; D'Amico, Domenico

2017-01-01

Studies addressing relapse rates conflate relapse into chronic migraine (CM) and medication overuse (MO), and the consequent need to repeat withdrawal. We aim to identify 12-months predictors of relapse into CM (based on headaches frequency) separately from occurrence of another structured withdrawal. Hospitalized patients with CM-MO under withdrawal were enrolled. Candidate predictors included demographic, disability, quality of life, depression scores, general self-efficacy, social support, headaches frequency and intensity, class of overused medications, history of withdrawal treatment in the three years prior to enrollment, attendance to emergency room (ER) between enrollment and follow-up, nonattendance to outpatient neurological examinations. Logistic regressions was used to address the significant predictors for the two outcomes. Complete data were available for 177 patients: 60 (33.9%) relapsed into CM, 38 (21.5%) underwent another withdrawal treatment. Recent history of withdrawal treatments, ER admission after discharge and high baseline BDI-II scores were significant predictors in both models. In addition to this, high baseline headache frequency predicted relapse into another withdrawal treatment. Predictors or relapse into CM and of occurrence of another withdrawal by 12-months are somehow similar. It is important to assess presence of recent previous withdrawal treatments and to plan regular follow-up afterwards, in particular for patients with high headache frequency and relevant mood disturbances: in this way, it will be more likely that situations requiring further structured withdrawal treatments can be identified before patients have to refer to ER. © 2016 American Headache Society.

Predictors of hypoglycemia in insulin-treated patients with type 2 diabetes mellitus in Basrah

PubMed Central

Nassar, Dhuha Tarik; Habib, Omran S; Mansour, Abbas Ali

2016-01-01

AIM To measure the incidence and determinants (predictors) of hypoglycemia among patients with type 2 diabetes mellitus (T2DM) who were on insulin treatment for at least one year. METHODS The present study is an out-patients based inquiry about the risk and predictors of hypoglycemia among patients with T2DM seeking care at the Al-Faiha Specialized Diabetes, Endocrine, and Metabolism Center, in Basrah over a period of 7 mo (from 15th of April, 2013 to 15th of October, 2013). The data used in the study were based on all detailed interview and selected laboratory investigations. A total of 336 patients could be included in the study. RESULTS The incidence of overall hypoglycemia among the studied patients was 75.3% within the last 3 mo preceding the interview. The incidence of hypoglycemia subtypes were 10.2% for severe hypoglycemia requiring medical assistance in the hospital, 44.36% for severe hypoglycemia treated at home by family; this includes both confirmed severe hypoglycemia with an incidence rate of 14.6% and unconfirmed severe hypoglycemia for which incidence rate was 29.76%. Regarding mild self-treated hypoglycemia, the incidence of confirmed mild hypoglycemia was 21.42%, for unconfirmed mild hypoglycemia the incidence rate was 50.0% and for total mild hypoglycemia, the incidence rate was 71.42%. The most important predictors of hypoglycemia were a peripheral residence, increasing knowledge of hypoglycemia symptoms, in availability and increasing frequency of self-monitoring blood glucose, the presence of peripheral neuropathy, higher diastolic blood pressure, and lower Hemoglobin A1c. CONCLUSION Hypoglycemia is very common among insulin-treated patients with T2DM in Basrah. It was possible to identify some important predictors of hypoglycemia. PMID:27795821

Preoperative vitamin D level as predictor of post-thyroidectomy hypocalcemia in patients sustaining transient parathyroid injury.

PubMed

Danan, Deepa; Shonka, David C

2017-07-01

Several studies have sought to identify predictors of postoperative hypocalcemia after total thyroidectomy; however, there have been conflicting results regarding the impact of preoperative vitamin D deficiency. The medical records of patients undergoing total thyroidectomy were retrospectively reviewed. The number of parathyroid glands identified or reimplanted at the time of surgery was used as a marker of transient parathyroid gland damage. Sixty-seven patients were included in the study. Vitamin D deficiency was a significant predictor of hypocalcemia in patients in whom ≥3 parathyroid glands were identified, but not in patients in whom 0-2 parathyroid glands were identified intraoperatively (odds ratio [OR] 5.8; P = .036). Vitamin D deficiency is a significant predictor of postoperative hypocalcemia in patients in whom ≥3 parathyroid glands are identified intraoperatively, but not in patients who sustain minimal transient damage to the parathyroid glands. © 2017 Wiley Periodicals, Inc.

Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors.

PubMed

Duan, Ran; Fu, Haoda

2015-08-30

Recurrent event data are an important data type for medical research. In particular, many safety endpoints are recurrent outcomes, such as hypoglycemic events. For such a situation, it is important to identify the factors causing these events and rank these factors by their importance. Traditional model selection methods are not able to provide variable importance in this context. Methods that are able to evaluate the variable importance, such as gradient boosting and random forest algorithms, cannot directly be applied to recurrent events data. In this paper, we propose a two-step method that enables us to evaluate the variable importance for recurrent events data. We evaluated the performance of our proposed method by simulations and applied it to a data set from a diabetes study. Copyright © 2015 John Wiley & Sons, Ltd.

Variation and predictors of vaginal douching behavior.

PubMed

Misra, Dawn P; Trabert, Britton; Atherly-Trim, Shelly

2006-01-01

Vaginal douching is a widespread practice among American women. Little research has been done examining variation in the practice or identifying risk factors. We collected data on douching, as well as hypothesized predictors of vaginal douching, as part of a cohort study on preterm birth. African-American women residing in Baltimore City, Maryland, were enrolled if they received prenatal care or delivered at The Johns Hopkins Medical Institution. Interview data were collected on 872 women between March 2001 and July 2004, with a response rate of 68%. Logistic regression analysis was selected to identify factors associated with douching in the 6 months prior to pregnancy. Almost two thirds of women reported ever douching and more than two thirds of those women reported douching in the 6 months prior to pregnancy. Variation was seen in the practice of douching with regard to frequency as well as technique. After adjusting for several confounders, prenatal enrollment (odds ratio [OR], 1.80; 95% confidence interval [CI], 1.29, 2.53), more unmet needs for time for "non-essentials" (OR, 1.83; 95% CI, 1.27, 2.63), smoking in the year prior to the birth (OR, 1.78; 95% CI, 1.22, 2.60), and age >19 years (OR, 2.60; 95% CI, 1.36, 4.97) were significant predictors of douching in the 6 months prior to pregnancy. We identified considerable heterogeneity in the practice of vaginal douching in a cohort of low income African-American women. Future studies should incorporate measures of the predictors of douching and detailed exposure information to determine the independent contribution of vaginal douching to health outcomes.

Predictors of adherence to treatment in bronchiectasis.

PubMed

McCullough, Amanda R; Tunney, Michael M; Stuart Elborn, J; Bradley, Judy M; Hughes, Carmel M

2015-07-01

We aimed to determine if beliefs about treatment, clinical factors and quality of life predicted adherence to treatment in patients with bronchiectasis. We recruited participants with confirmed bronchiectasis to a one-year study. We calculated adherence to treatment using medication possession ratios and self-report. Baseline Beliefs about Medicines, clinical, demographic and Quality of Life Questionnaire-Bronchiectasis data were collected. We used logistic regression to determine predictors of adherence to treatment during the subsequent year. Seventy-five participants were recruited. Beliefs about harm, age and total number of prescribed medications were predictors of adherence to inhaled antibiotics. Concerns about medication, age and Quality of Life Questionnaire-Bronchiectasis Treatment Burden were predictors of adherence to other respiratory medicines. Beliefs about necessity of airway clearance and age were predictors of adherence to airway clearance. Beliefs about treatment, age, number of prescribed medications and perceived treatment burden predicted subsequent adherence in bronchiectasis, thereby, providing potential targets for future interventions in this population. Clinicians can use these data to identify patients with bronchiectasis who might be at risk of non-adherence i.e. those who are younger, have concerns about medications, who do not think airway clearance is necessary or who are prescribed numerous medications. Copyright © 2015 Elsevier Ltd. All rights reserved.

Predictors of Bullying and Victimization in Childhood and Adolescence: A Meta-Analytic Investigation

ERIC Educational Resources Information Center

Cook, Clayton R.; Williams, Kirk R.; Guerra, Nancy G.; Kim, Tia E.; Sadek, Shelly

2010-01-01

Research on the predictors of 3 bully status groups (bullies, victims, and bully victims) for school-age children and adolescents was synthesized using meta-analytic procedures. The primary purpose was to determine the relative strength of individual and contextual predictors to identify targets for prevention and intervention. Age and how…

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

PubMed Central

Lin, Hao; Deng, En-Ze; Ding, Hui; Chen, Wei; Chou, Kuo-Chen

2014-01-01

The σ54 promoters are unique in prokaryotic genome and responsible for transcripting carbon and nitrogen-related genes. With the avalanche of genome sequences generated in the postgenomic age, it is highly desired to develop automated methods for rapidly and effectively identifying the σ54 promoters. Here, a predictor called ‘iPro54-PseKNC’ was developed. In the predictor, the samples of DNA sequences were formulated by a novel feature vector called ‘pseudo k-tuple nucleotide composition’, which was further optimized by the incremental feature selection procedure. The performance of iPro54-PseKNC was examined by the rigorous jackknife cross-validation tests on a stringent benchmark data set. As a user-friendly web-server, iPro54-PseKNC is freely accessible at http://lin.uestc.edu.cn/server/iPro54-PseKNC. For the convenience of the vast majority of experimental scientists, a step-by-step protocol guide was provided on how to use the web-server to get the desired results without the need to follow the complicated mathematics that were presented in this paper just for its integrity. Meanwhile, we also discovered through an in-depth statistical analysis that the distribution of distances between the transcription start sites and the translation initiation sites were governed by the gamma distribution, which may provide a fundamental physical principle for studying the σ54 promoters. PMID:25361964

Incidence and Predictors of Incontinence Associated Skin Damage in Nursing Home Residents with New Onset Incontinence

PubMed Central

Bliss, Donna Z.; Mathiason, Michelle A.; Gurvich, Olga; Savik, Kay; Eberly, Lynn E.; Fisher, Jessica; Wiltzen, Kjerstie R.; Akermark, Haley; Hildebrandt, Amanda; Jacobson, Megan; Funk, Taylor; Beckman, Amanda; Larson, Reed

2016-01-01

Purpose The purpose of this study was to determine the incidence and predictors of incontinence associated dermatitis (IAD) in nursing home residents. Methods Records of a cohort of 10,713 elderly (aged 65+) newly incontinent nursing home residents in 448 nursing homes in 28 states free of IAD were followed for IAD development. Potential multi-level predictors of IAD were identified in four national datasets containing information about the characteristics of individual nursing home residents, nursing home care environment, and communities in which the nursing homes were located. A unique set of health practitioner orders provided information about IAD and the predictors of IAD prevention and pressure injuries in the extended perineal area. Analysis was based on hierarchical logistical regression. Results The incidence of IAD was 5.5%. Significant predictors of IAD were not receiving preventive interventions for IAD, presence of a perineal pressure injury, having greater functional limitations in activities of daily living, more perfusion problems, and lesser cognitive deficits. Conclusion Findings highlight the importance of prevention of IAD and treatment/prevention of pressure injuries. A Wound Ostomy and Continence (WOC) nurse offers expertise in these interventions and can educate staff about IAD predictors which can improve resident outcomes. Other recommendations include implementing plans of care to improve functional status, treat perfusion problems, and provide assistance with incontinence and skin care to residents with milder as well as greater cognitive deficits. PMID:28267124

Sociodemographic Predictors of Sex Offender Stigma: How Politics Impact Attitudes, Social Distance, and Perceptions of Sex Offender Recidivism.

PubMed

DeLuca, Joseph S; Vaccaro, John; Rudnik, Amalia; Graham, Nicole; Giannicchi, Anna; Yanos, Philip T

2017-08-01

Stigma toward general criminal offenders has been found to be particularly salient among community members who identify as politically conservative; however, less is known about how political identification relates to stigma toward sex offenders. This is a particularly important area of inquiry, given that criminal jurisprudence and politics legitimatize stigmatizing labels attributed to sex offenders through laws and policies that apply specifically to this group. A nonrandom sample ( N = 518) of participants living in the United States was recruited for this survey study. Findings indicated that a specific aspect of conservative political ideology-right-wing authoritarianism (RWA)-significantly predicts negative attitudes and intended social distancing behavior toward sex offenders, even when controlling for other important predictors, such as education and prior contact. RWA was found to be the strongest predictor of negative attitudes and estimations of sex offender recidivism, and also significantly predicted intended social distancing behavior. Implications for addressing stigma toward sex offenders are discussed.

Predictors of fatigue and work ability in cancer survivors.

PubMed

van Muijen, P; Duijts, S F A; Bonefaas-Groenewoud, K; van der Beek, A J; Anema, J R

2017-12-30

Workers diagnosed with cancer are at risk for job loss or work disability. To determine predictors of fatigue and work ability at 36 months after diagnosis in a population of cancer survivors. Individuals diagnosed with cancer and who applied for work disability benefit at 24 months of sick leave were surveyed at the time of application and again 12 months later. Fatigue was measured using the Functional Assessment of Chronic Illness-Fatigue scale questionnaire and work ability was measured using the work ability index. Linear regression analyses were applied to identify predictors. There were 336 participants. Participants who were divorced or widowed had more physical limitations, more depressive symptoms and were more fatigued at baseline, and who worked in health care demonstrated higher levels of fatigue. Lower fatigue was predicted by having received chemotherapy. A higher level of work ability was predicted by having received chemotherapy, better global health and better work ability at baseline. Lower work ability was predicted by being principal wage earner, insecurity about being free of disease, having more physical limitations and having greater wage loss. Socio-demographic, health- and work-related factors were associated with fatigue and work ability in cancer survivors on long-term sick leave. As fatigue and poor work ability are important risk factors for work disability, addressing the identified predictive factors may assist in mitigation of work disability in cancer survivors. © The Author 2017. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com

[Hepatobiliary System Diseases as the Predictors of Psoriasis Progression].

PubMed

Smirnova, S V; Barilo, A A; Smolnikova, M V

2016-01-01

To assess the state of the hepatobiliary system in psoriasis andpsoriatic arthritis in order to establish a causal relationship and to identify clinical and functional predictors of psoriatic disease progression. The study includedpatients with extensive psoriasis vulgaris (n = 175) aged 18 to 66 years old and healthy donors (n = 30), matched by sex and age: Group 1--patients with psoriasis (PS, n = 77), group 2--patients with psoriatic arthritis (PsA, n = 98), group 3--control. The evaluation of functional state of the hepatobiliary system was performed by the analysis of the clinical and anamnestic data and by the laboratory-instrumental methods. We identified predictors of psoriasis: triggers (stress and nutritionalfactor), increased total bilirubin, aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, eosinophilia, giardiasis, carriers of hepatitis C virus, ductal changes andfocal leisons in the liver, thickening of the walls of the gallbladder detected by ultrasound. Predictors ofpsoriatic arthritis: age over 50 years, dyspeptic complaints, the presence of hepatobiliary system diseases, the positive right hypochondrium syndrome, the clinical symptoms of chronic cholecystitis, excess body weight, high levels of bilirubin, cholesterol and low density lipoprotein, hepatomegaly, non-alcoholic fatty liver disease. High activity of hepatocytes cytolysis, cholestasis, inflammation, metabolic disorders let us considerpsoriatic arthritis as a severe clinical stage psoriatic disease when the hepatobiliary system, in turn, is one of the main target organs in systemic psoriatic process. Non-alcoholic fatty liver disease and chronic cholecystitis are predictors of psoriatic disease progression.

Predictors of the accuracy of quotation of references in peer-reviewed orthopaedic literature in relation to publications on the scaphoid.

PubMed

Buijze, G A; Weening, A A; Poolman, R W; Bhandari, M; Ring, D

2012-02-01

Using inaccurate quotations can propagate misleading information, which might affect the management of patients. The aim of this study was to determine the predictors of quotation inaccuracy in the peer-reviewed orthopaedic literature related to the scaphoid. We randomly selected 100 papers from ten orthopaedic journals. All references were retrieved in full text when available or otherwise excluded. Two observers independently rated all quotations from the selected papers by comparing the claims made by the authors with the data and expressed opinions of the reference source. A statistical analysis determined which article-related factors were predictors of quotation inaccuracy. The mean total inaccuracy rate of the 3840 verified quotes was 7.6%. There was no correlation between the rate of inaccuracy and the impact factor of the journal. Multivariable analysis identified the journal and the type of study (clinical, biomechanical, methodological, case report or review) as important predictors of the total quotation inaccuracy rate. We concluded that inaccurate quotations in the peer-reviewed orthopaedic literature related to the scaphoid were common and slightly more so for certain journals and certain study types. Authors, reviewers and editorial staff play an important role in reducing this inaccuracy.

Comparing Self-Regulatory and Early Academic Skills as Predictors of Later Math, Reading, and Science Elementary School Achievement

NASA Astrophysics Data System (ADS)

Murrah, William M., III

The achievement score gaps between advantaged and disadvantaged children at school entry is a major problem in education today. Identifying the skills critical for school readiness is an important step in developing interventions aimed at addressing these score gaps. The purpose of this study is to compare a number of school readiness skills with an eye toward finding out which are the best predictors of later academic achievement in math, reading, and science. The predictors were early reading, math, general knowledge, socioemotional skills, and motor skills. Data were obtained from the Early Childhood Longitudinal Study of 1998 (NCES, 1998) database. While controlling for an extensive set of family characteristics, predictions were made across five years - from the end of kindergarten to the end of fifth grade. Consistent with current findings, reading and math skills predicted later achievement. Interestingly, general knowledge, attention, and fine motor skills also proved to be important predictors of later academic achievement, but socioemotional skills were not. The findings were interpreted from a neurobiological perspective involving the development of self-regulation. These school entry skills are used to predict later achievement in reading, math, and science. I argued that in addition to acquiring early academic knowledge, children need to regulate the use of this knowledge to meet academic goals.

[Predictors of success of external cephalic version: Bi-center study].

PubMed

Dochez, V; Delbos, L; Esbelin, J; Volteau, C; Winer, N; Sentilhes, L

2016-05-01

In the literature, success rate of external cephalic version (ECV) is 39 to 65%. This study aims to identify potential predictors of a successful ECV. Retrospective bi-center study performed from January 2011 through December 2012 at Angers University Hospital and Nantes University Hospital from January 2011 through December 2011. Were identified the demographic and ultrasonography characteristics of patients and the data of the process. One hundred and seventy-eight patients were included, 88 in Angers and 90 in Nantes; 16.3% of ECV were successful. Multiparity (OR 28.45; P<0.01) and transverse position (OR 0.63; P<0.01) are the two significant predictors. There is no significant difference found for center, operator, position of the placenta, amniotic fluid or presence of a uterine scar. The success rate in our two French university centers is much lower than that reported in the literature. Parity and transverse position are the only 2 significant predictors of ECV success. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Gastroschisis: antenatal sonographic predictors of adverse neonatal outcome.

PubMed

Page, Rachael; Ferraro, Zachary Michael; Moretti, Felipe; Fung, Karen Fung Kee

2014-01-01

The aim of this review was to identify clinically significant ultrasound predictors of adverse neonatal outcome in fetal gastroschisis. A quasi-systematic review was conducted in PubMed and Ovid using the key terms "gastroschisis," "predictors," "outcome," and "ultrasound." A total of 18 papers were included. The most common sonographic predictors were intra-abdominal bowel dilatation (IABD), intrauterine growth restriction (IUGR), and bowel dilatation not otherwise specified (NOS). Three ultrasound markers were consistently found to be statistically insignificant with respect to predicting adverse outcome including abdominal circumference, stomach herniation and dilatation, and extra-abdominal bowel dilatation (EABD). Gastroschisis is associated with several comorbidities, yet there is much discrepancy in the literature regarding which specific ultrasound markers best predict adverse neonatal outcomes. Future research should include prospective trials with larger sample sizes and use well-defined and consistent definitions of the adverse outcomes investigated with consideration given to IABD.

Head lice predictors and infestation dynamics among primary school children in Norway

PubMed Central

Birkemoe, Tone; Lindstedt, Heidi Heggen; Ottesen, Preben; Soleng, Arnulf; Næss, Øyvind; Rukke, Bjørn Arne

2016-01-01

Background. Health providers need to know which measures to take and children to prioritize in order to decrease costs associated with head lice infestations. Objective. Our aim was to determine the most important predictors for head lice and identify the major drivers of an infestation outbreak in a low-prevalence area. Methods. The study was based on three datasets of head lice prevalence (retrospective, point prevalence and prospective approach) from primary school children (ages 6–12) at 12 schools in Oslo, Norway. The tested predictors were siblings with lice, individual and household characteristics as well as class and school affiliation. Self-reported monthly incidences (prospective approach) of head lice were used to evaluate infestation dynamics. Results. Infested siblings strongly increased the odds of head lice infestation of school children (odds ratio 36, 26 and 7 in the three datasets) whereas having short hair halved the odds. Household characteristics were of minor importance, and class affiliation proved more important than school affiliation. Having head lice in one school term increased the odds of an infestation in the next, but this effect diminished over time. About 97% of all self-reported infestations were noted in two consecutive months or less. Conclusions. With the exception of hair length, we have found that individual and household characteristics are of minor importance to predict head lice infestations in a low-prevalence country and that unnoticed transmissions in school classes and families are likely to be the major driver upon outbreaks. PMID:26511728

Head lice predictors and infestation dynamics among primary school children in Norway.

PubMed

Birkemoe, Tone; Lindstedt, Heidi Heggen; Ottesen, Preben; Soleng, Arnulf; Næss, Øyvind; Rukke, Bjørn Arne

2016-02-01

Health providers need to know which measures to take and children to prioritize in order to decrease costs associated with head lice infestations. Our aim was to determine the most important predictors for head lice and identify the major drivers of an infestation outbreak in a low-prevalence area. The study was based on three datasets of head lice prevalence (retrospective, point prevalence and prospective approach) from primary school children (ages 6-12) at 12 schools in Oslo, Norway. The tested predictors were siblings with lice, individual and household characteristics as well as class and school affiliation. Self-reported monthly incidences (prospective approach) of head lice were used to evaluate infestation dynamics. Infested siblings strongly increased the odds of head lice infestation of school children (odds ratio 36, 26 and 7 in the three datasets) whereas having short hair halved the odds. Household characteristics were of minor importance, and class affiliation proved more important than school affiliation. Having head lice in one school term increased the odds of an infestation in the next, but this effect diminished over time. About 97% of all self-reported infestations were noted in two consecutive months or less. With the exception of hair length, we have found that individual and household characteristics are of minor importance to predict head lice infestations in a low-prevalence country and that unnoticed transmissions in school classes and families are likely to be the major driver upon outbreaks. © The Author 2015. Published by Oxford University Press.

MRI predictors of treatment response for perianal fistulizing Crohn disease in children and young adults.

PubMed

Shenoy-Bhangle, Anuradha; Nimkin, Katherine; Goldner, Dana; Bradley, William F; Israel, Esther J; Gee, Michael S

2014-01-01

Magnetic resonance imaging (MRI) is considered the imaging standard for diagnosis and characterization of perianal complications associated with Crohn disease in children and adults. To define MRI criteria that could act as potential predictors of treatment response in fistulizing Crohn disease in children, in order to guide more informed study interpretation. We performed a retrospective database query to identify all children and young adults with Crohn disease who underwent serial MRI studies for assessment of perianal symptoms between 2003 and 2010. We examined imaging features of perianal disease including fistula number, type and length, presence and size of associated abscess, and disease response/progression on follow-up MRI. We reviewed imaging studies and electronic medical records. Statistical analysis, including logistic regression, was performed to associate MR imaging features with treatment response and disease progression. We included 36 patients (22 male, 14 female; age range 8-21 years). Of these, 32 had a second MRI exam and 4 had clinical evidence of complete response, obviating the need for repeat imaging. Of the parameters analyzed, presence of abscess, type of fistula according to the Parks classification, and multiplicity were not predictors of treatment outcome. Maximum length of the dominant fistula and aggregate fistula length in the case of multiple fistulae were the best predictors of treatment outcome. Maximum fistula length <2.5 cm was a predictor of treatment response, while aggregate fistula length ≥2.5 cm was a predictor of disease progression. Perianal fistula length is an important imaging feature to assess on MRI of fistulizing Crohn disease.

The importance of campaign saliency as a predictor of attitude and behavior change: A pilot evaluation of social marketing campaign Fat Talk Free Week.

PubMed

Garnett, Bernice Raveche; Buelow, Robert; Franko, Debra L; Becker, Carolyn; Rodgers, Rachel F; Austin, S Bryn

2014-01-01

Fat Talk Free Week (FTFW), a social marketing campaign designed to decrease self-disparaging talk about body and weight, has not yet been evaluated. We conducted a theory-informed pilot evaluation of FTFW with two college samples using a pre- and posttest design. Aligned with the central tenets of the Elaboration Likelihood Model (ELM), we investigated the importance of FTFW saliency as a predictor of fat talk behavior change. Our analytic sample consisted of 118 female participants (83% of original sample). Approximately 76% of the sample was non-Hispanic White, 14% Asian, and 8% Hispanic. At baseline, more than 50% of respondents reported engaging in frequent self fat talk; at posttest, this number dropped to 34% of respondents. Multivariable regression models supported campaign saliency as the single strongest predictor of a decrease in self fat talk. Our results support the social diffusion of campaign messages among shared communities, as we found significant decreases in fat talk among campaign attenders and nonattenders. FTFW may be a promising short-term health communication campaign to reduce fat talk, as campaign messages are salient among university women and may encourage interpersonal communication.

Investigating Predictors of Listening Comprehension in Third-, Seventh-, and Tenth-Grade Students: A Dominance Analysis Approach

PubMed Central

Tighe, Elizabeth L.; Spencer, Mercedes; Schatschneider, Christopher

2015-01-01

This study rank ordered the contributive importance of several predictors of listening comprehension for third, seventh, and tenth graders. Principal components analyses revealed that a three-factor solution with fluency, reasoning, and working memory components provided the best fit across grade levels. Dominance analyses indicated that fluency and reasoning were the strongest predictors of third grade listening comprehension. Reasoning emerged as the strongest predictor of seventh and tenth grade listening comprehension. These findings suggest a shift in the contributive importance of predictors to listening comprehension across development (i.e., grade levels). The implications of our findings for educators and researchers are discussed. PMID:26877573

Preschool language variation, growth, and predictors in children on the autism spectrum.

PubMed

Ellis Weismer, Susan; Kover, Sara T

2015-12-01

There is wide variation in language abilities among young children with autism spectrum disorders (ASD), with some toddlers developing age-appropriate language while others remain minimally verbal after age 5. Conflicting findings exist regarding predictors of language outcomes in ASD and various methodological issues limit the conclusions that can be drawn about factors associated with positive language growth that could provide insights into more effective intervention approaches for increasing communication skills. Language development was investigated in 129 children with ASD participating in four assessments from mean age 2½ years (Visit 1) through 5½ years (Visit 4). Language ability was measured by a clinician-administered test of comprehension and production. Hierarchical linear modeling was used to identify predictors of language ability. Stability of language status was examined in subgroups of Preverbal versus Verbal children identified at Visit 1. Discriminant function analysis was used to classify another subset of cases according to Low Language (minimally verbal) versus High Language outcome at Visit 4. ASD severity was a significant predictor of growth in both language comprehension and production during the preschool period, while cognition predicted growth in production. For the highest and lowest language performers at Visit 4, cognition, maternal education, and response to joint attention correctly classified over 80% of total cases. The vast majority of children who were preverbal at 2½ years attained some level of verbal skills by 5½ years. Findings indicate that it is possible, by 2½ years, to predict language growth for children with ASD across the preschool years and identify factors that discriminate between children who remain minimally verbal at 5½ years from those with high language proficiency. Results suggest that early intervention focused on reducing core ASD symptoms may also be important for facilitating language

Predictors of Segmented School Day Physical Activity and Sedentary Time in Children from a Northwest England Low-Income Community

PubMed Central

Taylor, Sarah L.; Curry, Whitney B.; Knowles, Zoe R.; Noonan, Robert J.; McGrane, Bronagh; Fairclough, Stuart J.

2017-01-01

Background: Schools have been identified as important settings for health promotion through physical activity participation, particularly as children are insufficiently active for health. The aim of this study was to investigate the child and school-level influences on children′s physical activity levels and sedentary time during school hours in a sample of children from a low-income community; Methods: One hundred and eighty-six children (110 boys) aged 9–10 years wore accelerometers for 7 days, with 169 meeting the inclusion criteria of 16 h∙day−1 for a minimum of three week days. Multilevel prediction models were constructed to identify significant predictors of sedentary time, light, and moderate to vigorous physical activity during school hour segments. Child-level predictors (sex, weight status, maturity offset, cardiorespiratory fitness, physical activity self-efficacy, physical activity enjoyment) and school-level predictors (number on roll, playground area, provision score) were entered into the models; Results: Maturity offset, fitness, weight status, waist circumference-to-height ratio, sedentary time, moderate to vigorous physical activity, number of children on roll and playground area significantly predicted physical activity and sedentary time; Conclusions: Research should move towards considering context-specific physical activity and its correlates to better inform intervention strategies. PMID:28509887

Gender differences in predictors of body weight and body weight change in healthy adults.

PubMed

Chiriboga, David E; Ma, Yunsheng; Li, Wenjun; Olendzki, Barbara C; Pagoto, Sherry L; Merriam, Philip A; Matthews, Charles E; Hebert, James R; Ockene, Ira S

2008-01-01

Overweight and obesity are important predictors of a wide variety of health problems. Analysis of naturally occurring changes in body weight can provide valuable insights in improving our understanding of the influence of demographic, lifestyle, and psychosocial factors on weight gain in middle-age adults. To identify gender-specific predictors of body weight using cross-sectional and longitudinal analyses. Anthropometric, lifestyle and psychosocial factors were measured at baseline and then quarterly for 1 year in 572 healthy adult volunteers from Central Massachusetts who were recruited between 1994 and 1998. Linear mixed models were used to analyze the relationship between body weight and potential predictors, including demographic (e.g., age, educational level), lifestyle (e.g., diet, physical activity, smoking), and psychosocial (e.g., anxiety, depression) factors. Over the 1-year study period, on average, men gained 0.3 kg and women lost 0.2 kg. Predictors of lower body weight at baseline in both men and women included current cigarette smoking, greater leisure-time physical activity, and lower depression and anxiety scores. Lower body weights were associated with a lower percentage of caloric intake from protein and greater occupational physical activity levels only among men; and with higher education level only among women. Longitudinal predictors of 1-year weight gain among women included increased total caloric intake and decreased leisure-time physical activity, and among men, greater anxiety scores. Demographic, lifestyle and psychosocial factors are independently related to naturally occurring changes in body weight and have marked differential gender effects. These effects should be taken into consideration when designing interventions for weight-loss and maintenance at the individual and population levels.

Predictors of the psychosocial impact of being a carer of people living with Parkinson's disease: a systematic review.

PubMed

Greenwell, Kate; Gray, William K; van Wersch, Anna; van Schaik, Paul; Walker, Richard

2015-01-01

Caring for a person with Parkinson's disease (PwP) can have a variety of negative consequences that may challenge their ability to continue their caring role. It is still unknown why some individuals adapt better than others in response to such burdens. This review is the first to synthesize and evaluate the evidence on the predictive factors of psychosocial outcomes in PwP carers. Studies which identified predictors of psychosocial outcomes for unpaid carers were included. PsychINFO, EMBASE, AMED, BNI and CINAHL databases were searched, supplemented by scanning of references lists of included studies and relevant journals from 2008 onwards. Quality was assessed using the NICE methodology checklist for prognostic studies. Twenty-nine studies were included in the review, providing a low-level of evidence. Carer burden was investigated in 18 studies and mental health and quality of life (QoL) in seven studies each. PwP non-motor symptoms and QoL and carer depression were consistently identified as predictors for at least one psychosocial outcome. Demographics and disease factors were consistently found not to be predictors. Carer involvement and protective factors (e.g. social support, personality) demonstrated promising findings but studies were too few or factors measured inconsistently. Confident conclusions could not be drawn regarding the most important predictors that should be targeted in psychosocial interventions due to methodological weaknesses and lack of theoretical testing across the current literature. Future research should build upon psychological theory to gain a better understanding of the mechanisms that explain how carers adapt to caregiving. Copyright © 2014 Elsevier Ltd. All rights reserved.

Educational and Cognitive Predictors of Pro- and Antisaccadic Performance.

PubMed

Chamorro, Yaira; Treviño, Mario; Matute, Esmeralda

2017-01-01

Voluntary gaze control allows people to direct their attention toward selected targets while avoiding distractors. Failure in this ability could be related to dysfunctions in the neural circuits underlying executive functions. Interestingly, recent evidence suggests that factors such as years of schooling and literacy may positively influence goal-directed behavior and inhibitory control. However, we do not yet know whether these factors also have a significant impact on the inhibitory control of oculomotor responses. Using pro- and antisaccadic tasks to assess the behavioral responses of healthy adults, we tested the contribution of years of schooling and reading proficiency to their oculomotor control, while simultaneously analyzing the effects of other individual characteristics related to demographic, cognitive and motor profiles. This approach allowed us to test the hypothesis that schooling factors are closely related to oculomotor performance. Indeed, a regression analysis revealed important contributions of reading speed and intellectual functioning to the choices on both pro- and antisaccadic tasks, while years of schooling, age and block sequence emerged as important predictors of the kinematic properties of eye movements on antisaccadic tasks. Thus, our findings show that years of schooling and reading speed had a strong predictive influence on the oculomotor measures, although age and order of presentation also influenced saccadic performance, as previously reported. Unexpectedly, we found that an indirect measure of intellectual ability also proved to be a good predictor of the control of saccadic movements. The methods and findings of this study will be useful for identifying and breaking down the cognitive and educational components involved in assessing voluntary and automatic responses.

Early Predictors of First-Year Academic Success at University: Pre-University Effort, Pre-University Self-Efficacy, and Pre-University Reasons for Attending University

ERIC Educational Resources Information Center

van Herpen, Sanne G. A.; Meeuwisse, Marieke; Hofman, W. H. Adriaan; Severiens, Sabine E.; Arends, Lidia R.

2017-01-01

Given the large number of dropouts in the 1st year at university, it is important to identify early predictors of 1st-year academic success. The present study (n = 453 first-year students) contributes to literature on the transition from secondary to higher education by investigating how the non-cognitive factors "pre-university" effort…

Predictors of nurses' experience of verbal abuse by nurse colleagues.

PubMed

Keller, Ronald; Krainovich-Miller, Barbara; Budin, Wendy; Djukic, Maja

Between 45% and 94% of registered nurses (RNs) experience verbal abuse, which is associated with physical and psychological harm. Although several studies examined predictors of RNs' verbal abuse, none examined predictors of RNs' experiences of verbal abuse by RN colleagues. To examine individual, workplace, dispositional, contextual, and interpersonal predictors of RNs' reported experiences of verbal abuse from RN colleagues. In this secondary analysis, a cross-sectional design with multiple linear regression analysis was used to examine the effect of 23 predictors on verbal abuse by RN colleagues in a sample of 1,208 early career RNs. Selected variables in the empirical intragroup conflict model explained 23.8% of variance in RNs' experiences of verbal abuse by RN colleagues. A number of previously unstudied factors were identified that organizational leaders can monitor and develop or modify policies to prevent early career RNs' experiences of verbal abuse by RN colleagues. Copyright © 2017 Elsevier Inc. All rights reserved.

Predictors of early change in bulimia nervosa after a brief psychoeducational therapy.

PubMed

Fernàndez-Aranda, Fernando; Álvarez-Moya, Eva M; Martínez-Viana, Cristina; Sànchez, Isabel; Granero, Roser; Penelo, Eva; Forcano, Laura; Peñas-Lledó, Eva

2009-06-01

We aimed to examine baseline predictors of treatment response in bulimic patients. 241 seeking-treatment females with bulimia nervosa completed an exhaustive assessment and were referred to a six-session psychoeducational group. Regression analyses of treatment response were performed. Childhood obesity, lower frequency of eating symptomatology, lower body mass index, older age, and lower family's and patient's concern about the disorder were predictors of poor abstinence. Suicidal ideation, alcohol abuse, higher maximum BMI, higher novelty seeking and lower baseline purging frequency predicted dropouts. Predictors of early symptom changes and dropouts were similar to those identified in longer CBT interventions.

Predictors of Cure of Intrahepatic Cholangiocarcinoma After Hepatic Resection.

PubMed

Tsukamoto, Masayo; Yamashita, Yo-Ichi; Imai, Katsunori; Umezaki, Naoki; Yamao, Takanobu; Okabe, Hirohisa; Nakagawa, Shigeki; Hashimoto, Daisuke; Chikamoto, Akira; Ishiko, Takatoshi; Yoshizumi, Tomoharu; Maehara, Yoshihiko; Baba, Hideo

2017-12-01

Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer after hepatocellular carcinoma, and has a poor prognosis. Surgical resection is the only option for a cure of ICC. Here we attempted to define the cure rate after hepatic resection for ICC and to identify the predictors for a cure. Among the 96 patients who underwent R0 resections for primary ICC between 1990 and 2011 at the Kumamoto University Hospital and Kyushu University Hospital, those who were followed for ≥5 years after surgery were enrolled. "Cure" was defined as recurrence-free survival (RFS) of ≥5 years after surgery. A total of 81 patients were eligible. A cure was achieved in 37 patients (45.7%). The 5-year overall survival and RFS rates were 55.0% and 41.7%, respectively. A multivariate logistic regression analysis identified the absence of lymph node metastasis (relative risk (RR) 7.5, p=0.011) and the absence of microvascular invasion (RR 5.5, p=0.0137) as the independent predictors of achieving a cure. R0 resections achieved a cure in 45.7% of this series of ICC patients. The predictors of a cure identified here, i.e., absence of lymph node metastasis and absence of microvascular invasion, could contribute to the selection of patients who are not candidates for adjuvant chemotherapy. Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting.

PubMed

Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D

2018-01-01

Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for

How Variables Uncorrelated with the Dependent Variable Can Actually Make Excellent Predictors: The Important Suppressor Variable Case.

ERIC Educational Resources Information Center

Woolley, Kristin K.

Many researchers are unfamiliar with suppressor variables and how they operate in multiple regression analyses. This paper describes the role suppressor variables play in a multiple regression model and provides practical examples that explain how they can change research results. A variable that when added as another predictor increases the total…

Predictors of Homophobia in Female College Students.

ERIC Educational Resources Information Center

Basow, Susan A.; Johnson, Kelly

2000-01-01

Investigated how self-esteem, self-discrepancy, and gender-attribute importance related to homophobia in predominantly white college women, noting sex role attitudes, authoritarian attitudes, and extent of contact with homosexuals. The only significant predictor of homophobia was authoritarian attitudes. Other correlations included belief in sex…

Clinical predictors of chronic rhinosinusitis.

PubMed

Pynnonen, Melissa; Fowler, Karen; Terrell, Jeffrey E

2007-01-01

Chronic rhinosinusitis (CRS) is diagnosed by the presence of signs and symptoms of CRS in conjunction with physical evidence of mucosal inflammation. We sought to identify symptoms that predict CRS. We performed a retrospective review of patients referred to a tertiary care rhinology clinic for evaluation of CRS. Symptom survey data and diagnoses were reviewed. Of 187 patients who met inclusion criteria, 112 (60%) were diagnosed with CRS and 75 (40%) were not. Chronic purulent rhinorrhea (odds ratio [OR], 2.2) and hyposmia (OR, 2.3) individually and in combination (OR, 3.8) were significant predictors of CRS. The major criteria of the 1997 Task Force in Rhinology (TFR) also predicted CRS (OR, 1.9) but the minor criteria did not (OR, 0.3). In this preliminary study, purulent rhinorrhea and hyposmia are strong predictors of CRS. The major criteria of the TFR also predict CRS but the minor criteria do not.

Childhood and Adolescent Predictors of Alcohol Abuse and Dependence in Young Adulthood*

PubMed Central

Guo, Jie; Hawkins, J. David; Hill, Karl G.; Abbott, Robert D

2007-01-01

Objective To provide a comprehensive examination of childhood and adolescent predictors of alcohol abuse and dependence at age 21, theoretically guided by the social development model. Method Data were taken from an ethnically diverse urban sample of 808 students [51% male), surveyed at age 10 and followed prospectively to age 21 in 1996. Potential predictors of alcohol abuse and dependence at age 21 were measured at ages 10, 14 and 16. Relationships between these predictors and alcohol abuse and dependence were examined at each age, to assess changes in their patterns of prediction over time. Results Strong bonding to school, close parental monitoring of children and clearly defined family rules for behavior, appropriate parental rewards for good behaviors, high level of refusal skills and strong belief in the moral order predicted a lower risk for alcohol abuse and dependence at age 21. Of these, strong bonding to school consistently predicted lower alcohol abuse and dependence from all three ages (10, 14 and 16). By contrast, youths who had a higher risk of alcohol abuse and dependence at age 21 engaged in more problem behaviors, had more opportunities to be involved with antisocial individuals and spent more time with and were more bonded to those individuals, viewed fewer negative consequences from antisocial behaviors and held more favorable views on alcohol use. Of these, prior problem behaviors and antisocial opportunities and involvements at ages 10, 14 and 16 consistently predicted alcohol abuse and dependence at age 21. Conclusions These important malleable predictors, identifiable as early as age 10, provide potential intervention targets for the prevention of alcohol abuse and dependence in early adulthood. PMID:11838912

Social and behavioral predictors of insufficient sleep among African Americans and Caucasians.

PubMed

Williams, Natasha J; Grandner, Michael A; Wallace, Douglas M; Cuffee, Yendelela; Airhihenbuwa, Collins; Okuyemi, Kolawole; Ogedegbe, Gbenga; Jean-Louis, Girardin

2016-02-01

Few studies have examined the social and behavioral predictors of insufficient sleep. To assess the social and behavioral predictors of insufficient sleep in the U.S. Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design. The mean age for the sample was 56 ± 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR = 1.65, p < 0.001, 95% CI = 1.65-1.66], black race/ethnicity [OR = 1.37, p < 0.001, 95% CI = 1.37-1.38], history of heart disease [OR = 1.26, p < 0.001, 95% CI = 1.25-1.28], care-giving to family/friends [OR = 1.50, p < 0.001, 95% CI = 1.49-1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23-1.25]. Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep. Copyright © 2015 Elsevier B.V. All rights reserved.

Predictors of discontinuation of antipsychotic medication and subsequent outcomes in the European First Episode Schizophrenia Trial (EUFEST).

PubMed

Landolt, Karin; Rössler, Wulf; Ajdacic-Gross, Vladeta; Derks, Eske M; Libiger, Jan; Kahn, René S; Fleischhacker, W Wolfgang

2016-04-01

This study had two aims: to describe patients suffering from first-episode schizophrenia who had stopped taking any antipsychotic medication, and to gain information on the predictors of successful discontinuation. We investigated data from the European First Episode Schizophrenia Trial (EUFEST). From the 325 patients included, 15.7% discontinued all antipsychotic medication. In a first analysis, clinical and sociodemographical predictors of discontinuing any antipsychotic medication were identified, using Cox regression. In the second analysis, logistic regression was used to determine variables associated with those patients who had stopped taking antipsychotic medication and had a favourable outcome, i.e., successful discontinuation. A good outcome was defined as a) having had no relapse within the whole observation period (80.6%), and b) having had no relapse and symptomatic remission at 12-month-follow-up (37.2%). Cox regression revealed that a higher proportion of patients from Western European countries and Israel stopped antipsychotic medication than from Central and Eastern European countries, that relapse was associated with discontinuation, and that discontinuers had lower compliance and higher quality of life. Predictors of successful discontinuation differed with the outcome definition used. Using definition b), successful discontinuers had a better baseline prognosis and better baseline social integration. Using definition a), successful discontinuers more often were from Western European countries. Region and clinical factors were associated with discontinuation. Prognosis and social integration played an important role in predicting successful discontinuation. As this study had several limitations, for example the observational design regarding discontinuation, further studies are needed to identify predictors of successful discontinuation. Copyright © 2016 Elsevier B.V. All rights reserved.

Group Treatment of Depression: Individual Predictors of Outcome.

ERIC Educational Resources Information Center

Hoberman, Harry M.; And Others

1988-01-01

Identified patient characteristics predictive of individual outcome in psychoeducational group treatment for unipolar depression, a coping with depression course. After treatment, 85 percent of the subjects no longer met diagnostic criteria for depressive disorders. Found the most robust predictors of outcome to be pretreatment depression level,…

Childhood Predictors of Young Adult Social Functioning in 22q11.2 Deletion Syndrome

ERIC Educational Resources Information Center

Wagner, Kayla E.; Kates, Wendy R.; Fremont, Wanda; Antshel, Kevin M.

2017-01-01

The primary objectives of the current prospective longitudinal study were to (a) describe social functioning outcomes and (b) identify childhood predictors of social functioning in young adults with (22q11.2DS). Childhood predictors of young adult social functioning were examined. Family environment and parental stress in adolescence were…

Predictors of perceived togetherness in very old men and women: a 5-year follow-up study.

PubMed

Tiikkainen, P; Leskinen, E; Heikkinen, R-L

2008-01-01

Although a considerable amount of research has been carried out on older adults' social ties, most of it has focused on quantitative aspects and on cross-sectional samples. In this study, the subjective aspect of social interaction is described by the concept of perceived togetherness. The aim of this study was to examine the extent to which different factors predict perceived togetherness in men and women over a 5-year period. It also addresses the question of whether it is possible to identify different subgroups in perceived togetherness. The data were collected with structured interviews and laboratory tests from 225 elderly people at ages 80 and 85. The results showed that the predictors of perceived togetherness partly differed between sexes as well as within the groups of males and females. Predictors common to both genders were contacts with friends, less depressive symptoms, higher education level and better coping with instrumental activities of daily living (IADLs). The findings indicated the importance of friends. Widowhood and self-rated health were predictors in women but not in men. Moreover, there appeared to be two subgroups of women and men in perceived togetherness; these were labeled "socially embedded", "socially isolated", "socially active" and "solitary". The results indicate diversity in perceived togetherness and its predictors. More attention should be paid to individual differences in order to prevent loneliness and to promote older adults' well-being.

Predictors of academic performance for applicants to an international dental studies program in the United States.

PubMed

Pitigoi-Aron, Gabriela; King, Patricia A; Chambers, David W

2011-12-01

The number of U.S. and Canadian dental schools offering programs for dentists with degrees from other countries leading to the D.D.S. or D.M.D. degree has increased recently. This fact, along with the diversity of educational systems represented by candidates for these programs, increases the importance of identifying valid admissions predictors of success in international dental student programs. Data from 148 students accepted into the international dental studies program at the University of the Pacific from 1994 through 2004 were analyzed. Dependent variables were comprehensive cumulative GPA at the end of both the first and second years of the two-year program. The Test of English as a Foreign Language (TOEFL) and both Parts I and II of the National Board Dental Examination (NBDE) were significant positive predictors of success. Performance on laboratory tests of clinical skill in operative dentistry and in fixed prosthodontics and ratings from interviewers were not predictive of overall success in the program. Although this study confirms the predictive value of written tests such as the TOEFL and NBDE, it also contributes to the literature documenting inconsistent results regarding other types of predictors. It may be the case that characteristics of individual programs or features of the applicant pools for each may require use of admissions predictors that are unique to schools.

Family Functioning and Predictors of Runaway Behavior Among At-Risk Youth.

PubMed

Holliday, Stephanie Brooks; Edelen, Maria Orlando; Tucker, Joan S

2017-06-01

Adolescent runaway behavior is associated with a host of negative outcomes in young adulthood. Therefore, it is important to understand the factors that predict running away in youth. Longitudinal data from 111 at-risk families were used to identify proximal predictors of runaway behavior over a 12-week period. On average, youth were 14.96 years old, and 45% were female. Ten percent of youth ran away during the 12-week follow-up period. In bivariate analyses, running away was predicted by poorer youth- and parent-rated family functioning, past runaway behavior, and other problem behaviors (e.g., substance use, delinquency), but not poorer perceived academic functioning. Results of a hierarchical logistic regression revealed a relationship between youth-rated family functioning and runaway behavior. However, this effect became non-significant after accounting for past runaway behavior and other problem behaviors, both of which remained significant predictors in the multivariable model. These findings suggest that youth who run away may be engaged in a more pervasive pattern of problematic behavior, and that screening and prevention programs need to address the cycle of adolescent defiant behavior associated with running away. Recommendations for clinical practice with this at-risk population are discussed.

Predictors of short-term outcome to exercise and manual therapy for people with hip osteoarthritis.

PubMed

French, Helen P; Galvin, Rose; Cusack, Tara; McCarthy, Geraldine M

2014-01-01

Physical therapy for hip osteoarthritis (OA) has shown short-term effects but limited long-term benefit. There has been limited research, with inconsistent results, in identifying prognostic factors associated with a positive response to physical therapy. The purpose of this study was to identify potential predictors of response to physical therapy (exercise therapy [ET] with or without adjunctive manual therapy [MT]) for hip OA based on baseline patient-specific and clinical characteristics. A prognostic study was conducted. Secondary analysis of data from a multicenter randomized controlled trial (RCT) (N=131) that evaluated the effectiveness of ET and ET+MT for hip OA was undertaken. Treatment response was defined using OMERACT/OARSI responder criteria. Ten baseline measures were used as predictor variables. Regression analyses were undertaken to identify predictors of outcome. Discriminative ability (sensitivity, specificity, and likelihood ratios) of significant variables was calculated. The RCT results showed no significant difference in most outcomes between ET and ET+MT at 9 and 18 weeks posttreatment. Forty-six patients were classified as responders at 9 weeks, and 36 patients were classified as responders at 18 weeks. Four baseline variables were predictive of a positive outcome at 9 weeks: male sex, pain with activity (<6/10), Western Ontario and McMaster Universities Osteoarthritis Index physical function subscale score (<34/68), and psychological health (Hospital Anxiety and Depression Scale score <9/42). No predictor variables were identified at the 18-week follow-up. Prognostic accuracy was fair for all 4 variables (sensitivity=0.5-0.58, specificity=0.57-0.72, likelihood ratios=1.25-1.77), indicating fair discriminative ability at predicting treatment response. The short-term follow-up limits the interpretation of results, and the low number of identified responders may have resulted in possible overfitting of the predictor model. The authors were

Predictors of firearm violence in urban communities: A machine-learning approach.

PubMed

Goin, Dana E; Rudolph, Kara E; Ahern, Jennifer

2018-05-01

Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with firearm violence is important to improve confounder selection and control in health research, to better understand community-level factors that are associated with firearm violence, and to enhance community surveillance and control of firearm violence. The objective of this research was to use machine learning to identify an optimal set of predictors for urban interpersonal firearm violence rates using a broad set of community characteristics. The final list of 18 predictive covariates explain 77.8% of the variance in firearm violence rates, and are publicly available, facilitating their inclusion in analyses relating violence and health. This list includes the black isolation and segregation indices, rates of educational attainment, marital status, indicators of wealth and poverty, longitude, latitude, and temperature. Copyright © 2018 Elsevier Ltd. All rights reserved.

Organization specific predictors of job satisfaction: findings from a Canadian multi-site quality of work life cross-sectional survey.

PubMed

Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin

2002-03-25

Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.

Organization specific predictors of job satisfaction: findings from a Canadian multi-site quality of work life cross-sectional survey

PubMed Central

Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin

2002-01-01

Background Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. Methods 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Results Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. Conclusions The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific. PMID:11914162

Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review.

PubMed

Symmank, Claudia; Mai, Robert; Hoffmann, Stefan; Stok, F Marijn; Renner, Britta; Lien, Nanna; Rohm, Harald

2017-03-01

The number of publications on consumer food decision making and its predictors and correlates has been steadily increasing over the last three decades. Given that different scientific disciplines illuminate this topic from different perspectives, it is necessary to develop an interdisciplinary overview. The aim of this study is to conduct a systematic interdisciplinary mapping (SIM) review by using rapid review techniques to explore the state-of-the-art, and to identify hot topics and research gaps in this field. This interdisciplinary review includes 1,820 publications in 485 different journals and other types of publications from more than ten disciplines (including nutritional science, medicine/health science, psychology, food science and technology, business research, etc.) across a period of 60 years. The identified predictors of food decision making were categorized in line with the recently proposed DONE (Determinants Of Nutrition and Eating behavior) framework. After applying qualitative and quantitative analyses, this study reveals that most of the research emphasizes biological, psychological, and product-related predictors, whereas policy-related influences on food choice are scarcely considered. Copyright © 2016 Elsevier Ltd. All rights reserved.

Clinical predictors for the prognosis of myasthenia gravis.

PubMed

Wang, Lili; Zhang, Yun; He, Maolin

2017-04-19

Clinical predictors for myasthenia gravis relapse and ocular myasthenia gravis secondary generalization during the first two years after disease onset remain incompletely identified. This study attempts to investigate the clinical predictors for the prognosis of Myasthenia Gravis. Eighty three patients with myasthenia gravis were concluded in this study. Baseline characteristics were analyzed as predictors. Relapse of myasthenia gravis developed in 26 patients (34%). Generalization developed in 34 ocular myasthenia gravis patients (85%). Other autoimmune diseases were observed more commonly in relapsed myasthenia gravis (P = 0.012). Second generalization group contained more late onset patients (P = 0.021). Ocular myasthenia gravis patients with thymus hyperplasia progressed more rapidly than those with other thymus pathology (P = 0.027). Single onset symptom of ocular myasthenia gravis such as ptosis or diplopia predicted early progression than concurrence of ptosis and diplopia (P = 0.027). Treatment effect including glucocorticoid, pyridostigmine, thymectomy, IVIG, immunosuppressive drugs did not show significant difference between the relapsed and non-relapsed groups. The treatment outcome also showed no difference between the single OMG and second generalized groups. Occurrence of associated autoimmune disease can serve as a potential predictor for myasthenia gravis relapse. Either ptosis or diplopia, as well as thymic hyperplasia can predict generalization in the first six months.

The Hispanic Americans Baseline Alcohol Survey (HABLAS): Predictors of alcohol attitudes and expectancies in Hispanic national groups

PubMed Central

Mills, Britain A.; Caetano, Raul

2012-01-01

Background Multiple theoretical frameworks identify attitudes and expectancies as important predictors of alcohol behavior. Few studies have examined demographic predictors of these evaluative and belief-based cognitive mediators in the general population, and none have examined them in large-scale studies of Hispanics, a group at higher risk for drinking behavior and problems. This study probes the extent to which dimensions of attitudes and expectancies share common demographic predictors in a large sample of Puerto Ricans, Cuban-Americans, Mexican-Americans, and South/Central Americans. Methods The 2006 Hispanic Americans Baseline Alcohol Survey (HABLAS) used a multistage cluster sample design to interview 5,224 individuals randomly selected from households in Miami, New York, Philadelphia, Houston, and Los Angeles. This study focused on 2,773 respondents self-identified as current drinkers. Multiple linear regression was used to identify predictors of positive and negative dimensions of attitudes and expectancies, controlling for various background variables. Results Religious affiliation selectively predicted alcohol attitudes, with Catholics having more positive and fewer negative attitudes than other religious groups. Hispanic group selectively predicted alcohol expectancies, with Cuban-Americans having less positive and less negative expectancies than other groups. Being U.S.-born or male predicted more positive attitudes and expectancies, but birthplace and gender did not predict negative dimensions of attitudes or expectancies. Higher acculturation and more education were linked to a decreased tendency to agree with any item. Age was positively and negatively associated with negative expectancies and positive attitudes, respectively, and having never been married, higher income, and unemployment were each linked to fewer negative attitudes. Conclusions Although there is some overlap, attitudes and expectancies are influenced by different sociodemographic

Praiseworthiness: predictors of positive interpersonal judgments.

PubMed

Ogletree, Shirley M; Covington, Jennifer A; Archer, Richard L

2013-06-01

Deterministic attitudes, information about a person's background, one's perceived similarity to a target person, and attributions of effort and ability may affect praiseworthiness. Two vignette studies with college student participants were conducted to consider this issue. Based on regression analyses, attributing achievement to effort was the strongest predictor of praiseworthiness across both studies. In addition, evidence for an augmenting effect of an impoverished background on praiseworthiness was found. In the first study, perceived similarity to the target individual and religious-philosophical determinism were also predictors of praiseworthiness, while belief in free will predicted praiseworthiness in the second study. Judgments of praiseworthiness may be tied to a number of factors; among the most important of these are overcoming an impoverished childhood background and the attributed effort required for success.

Predictors of fibromyalgia: a population-based twin cohort study.

PubMed

Markkula, Ritva A; Kalso, Eija A; Kaprio, Jaakko A

2016-01-15

Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with "possible FM". This study explores prospectively predictors for membership of that FM-symptom cluster. A population-based sample of 8343 subjects of the older Finnish Twin Cohort replied to health questionnaires in 1975, 1981, and 1990. Their answers to the set of FM-symptom questions in 1990 classified them in three latent classes (LC): LC1 with no or few symptoms, LC2 with some symptoms, and LC3 with many FM symptoms. We analysed putative predictors for these symptom classes using baseline (1975 and 1981) data on regional pain, headache, migraine, sleeping, body mass index (BMI), physical activity, smoking, and zygosity, adjusted for age, gender, and education. Those with a high likelihood of having fibromyalgia at baseline were excluded from the analysis. In the final multivariate regression model, regional pain, sleeping problems, and overweight were all predictors for membership in the class with many FM symptoms. The strongest non-genetic predictor was frequent headache (OR 8.6, CI 95% 3.8-19.2), followed by persistent back pain (OR 4.7, CI 95% 3.3-6.7) and persistent neck pain (OR 3.3, CI 95% 1.8-6.0). Regional pain, frequent headache, and persistent back or neck pain, sleeping problems, and overweight are predictors for having a cluster of symptoms consistent with fibromyalgia.

Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine

NASA Astrophysics Data System (ADS)

Xing, Pengwei; Su, Ran; Guo, Fei; Wei, Leyi

2017-04-01

N6-methyladenosine (m6A) refers to methylation of the adenosine nucleotide acid at the nitrogen-6 position. It plays an important role in a series of biological processes, such as splicing events, mRNA exporting, nascent mRNA synthesis, nuclear translocation and translation process. Numerous experiments have been done to successfully characterize m6A sites within sequences since high-resolution mapping of m6A sites was established. However, as the explosive growth of genomic sequences, using experimental methods to identify m6A sites are time-consuming and expensive. Thus, it is highly desirable to develop fast and accurate computational identification methods. In this study, we propose a sequence-based predictor called RAM-NPPS for identifying m6A sites within RNA sequences, in which we present a novel feature representation algorithm based on multi-interval nucleotide pair position specificity, and use support vector machine classifier to construct the prediction model. Comparison results show that our proposed method outperforms the state-of-the-art predictors on three benchmark datasets across the three species, indicating the effectiveness and robustness of our method. Moreover, an online webserver implementing the proposed predictor has been established at http://server.malab.cn/RAM-NPPS/. It is anticipated to be a useful prediction tool to assist biologists to reveal the mechanisms of m6A site functions.

Prevalence and Predictors of Functional Vitamin K Insufficiency in Mothers and Newborns in Uganda.

PubMed

Santorino, Data; Siedner, Mark J; Mwanga-Amumpaire, Juliet; Shearer, Martin J; Harrington, Dominic J; Wariyar, Unni

2015-10-16

Vitamin K deficiency bleeding (VKDB) in infancy is a serious but preventable cause of mortality or permanent disability. Lack of epidemiologic data for VKDB in sub-Saharan Africa hinders development and implementation of effective prevention strategies. We used convenience sampling to consecutively enroll mothers delivering in a southwestern Uganda Hospital. We collected socio-demographic and dietary information, and paired samples of maternal venous and neonatal cord blood for the immunoassay of undercarboxylated prothrombin (PIVKA-II), a sensitive marker of functional vitamin K (VK) insufficiency. We used univariable and multivariable logistic regression models to identify predictors of VK insufficiency. We detected PIVKA-II of ≥0.2 AU (Arbitrary Units per mL)/mL (indicative of VK insufficiency) in 33.3% (47/141) of mothers and 66% (93/141) of newborns. Importantly, 22% of babies had PIVKA-II concentrations ≥5.0 AU/mL, likely to be associated with abnormal coagulation indices. We found no significant predictors of newborn VK insufficiency, including infant weight (AOR (adjusted odds ratio) 1.85, 95% CI (confidence interval) 0.15-22.49), gender (AOR 0.54, 95% CI 0.26-1.11), term birth (AOR 0.72, 95% CI 0.20-2.62), maternal VK-rich diet (AOR 1.13, 95% CI 0.55-2.35) or maternal VK insufficiency (AOR 0.99, 95% CI 0.47-2.10). VK insufficiency is common among mothers and newborn babies in southwestern Uganda, which in one fifth of babies nears overt deficiency. Lack of identifiable predictors of newborn VK insufficiency support strategies for universal VK prophylaxis to newborns to prevent VKDB.

Prevalence and Predictors of Functional Vitamin K Insufficiency in Mothers and Newborns in Uganda

PubMed Central

Santorino, Data; Siedner, Mark J.; Mwanga-Amumpaire, Juliet; Shearer, Martin J.; Harrington, Dominic J.; Wariyar, Unni

2015-01-01

Vitamin K deficiency bleeding (VKDB) in infancy is a serious but preventable cause of mortality or permanent disability. Lack of epidemiologic data for VKDB in sub-Saharan Africa hinders development and implementation of effective prevention strategies. We used convenience sampling to consecutively enroll mothers delivering in a southwestern Uganda Hospital. We collected socio-demographic and dietary information, and paired samples of maternal venous and neonatal cord blood for the immunoassay of undercarboxylated prothrombin (PIVKA-II), a sensitive marker of functional vitamin K (VK) insufficiency. We used univariable and multivariable logistic regression models to identify predictors of VK insufficiency. We detected PIVKA-II of ≥0.2 AU (Arbitrary Units per mL)/mL (indicative of VK insufficiency) in 33.3% (47/141) of mothers and 66% (93/141) of newborns. Importantly, 22% of babies had PIVKA-II concentrations ≥5.0 AU/mL, likely to be associated with abnormal coagulation indices. We found no significant predictors of newborn VK insufficiency, including infant weight (AOR (adjusted odds ratio) 1.85, 95% CI (confidence interval) 0.15–22.49), gender (AOR 0.54, 95% CI 0.26–1.11), term birth (AOR 0.72, 95% CI 0.20–2.62), maternal VK-rich diet (AOR 1.13, 95% CI 0.55–2.35) or maternal VK insufficiency (AOR 0.99, 95% CI 0.47–2.10). VK insufficiency is common among mothers and newborn babies in southwestern Uganda, which in one fifth of babies nears overt deficiency. Lack of identifiable predictors of newborn VK insufficiency support strategies for universal VK prophylaxis to newborns to prevent VKDB. PMID:26501317

Pretreatment Predictors of Adverse Radiation Effects After Radiosurgery for Arteriovenous Malformation

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

Hayhurst, Caroline; Monsalves, Eric; Prooijen, Monique van

Purpose: To identify vascular and dosimetric predictors of symptomatic T2 signal change and adverse radiation effects after radiosurgery for arteriovenous malformation, in order to define and validate preexisting risk models. Methods and Materials: A total of 125 patients with arteriovenous malformations (AVM) were treated at our institution between 2005 and 2009. Eighty-five patients have at least 12 months of clinical and radiological follow-up. Any new-onset headaches, new or worsening seizures, or neurological deficit were considered adverse events. Follow-up magnetic resonance images were assessed for new onset T2 signal change and the volume calculated. Pretreatment characteristics and dosimetric variables were analyzedmore » to identify predictors of adverse radiation effects. Results: There were 19 children and 66 adults in the study cohort, with a mean age of 34 (range 6-74). Twenty-three (27%) patients suffered adverse radiation effects (ARE), 9 patients with permanent neurological deficit (10.6%). Of these, 5 developed fixed visual field deficits. Target volume and 12 Gy volume were the most significant predictors of adverse radiation effects on univariate analysis (p < 0.001). Location and cortical eloquence were not significantly associated with the development of adverse events (p = 0.12). No additional vascular parameters were identified as predictive of ARE. There was a significant target volume threshold of 4 cm{sup 3}, above which the rate of ARE increased dramatically. Multivariate analysis target volume and the absence of prior hemorrhage are the only significant predictors of ARE. The volume of T2 signal change correlates to ARE, but only target volume is predictive of a higher volume of T2 signal change. Conclusions: Target volume and the absence of prior hemorrhage is the most accurate predictor of adverse radiation effects and complications after radiosurgery for AVMs. A high percentage of permanent visual field defects in this series

Identifying Elements of ICU Care That Families Report as Important But Unsatisfactory

PubMed Central

Osborn, Tristan R.; Curtis, J. Randall; Nielsen, Elizabeth L.; Back, Anthony L.; Shannon, Sarah E.

2012-01-01

Background: One in five deaths in the United States occurs in the ICU, and many of these deaths are experienced as less than optimal by families of dying people. The current study investigated the relationship between family satisfaction with ICU care and overall ratings of the quality of dying as a means of identifying targets for improving end-of-life experiences for patients and families. Methods: This multisite cross-sectional study surveyed families of patients who died in the ICU in one of 15 hospitals in western Washington State. Measures included the Family Satisfaction in the ICU (FS-ICU) and the Single-Item Quality of Dying (QOD-1) questionnaires. Associations between FS-ICU items and the QOD-1 were examined using multivariate linear regression controlling for patient and family demographics and hospital site. Results: Questionnaires were returned for 1,290 of 2,850 decedents (45%). Higher QOD-1 scores were significantly associated (all P < .05) with (1) perceived nursing skill and competence (β = 0.15), (2) support for family as decision-makers (β = 0.10), (3) family control over the patient’s care (β = 0.18), and (4) ICU atmosphere (β = 0.12). FS-ICU items that received low ratings and correlated with higher QOD-1 scores (ie, important items with room for improvement) were (1) support of family as decision-maker, (2) family control over patient’s care, and (3) ICU atmosphere. Conclusions: Increased support for families as decision-makers and for their desired level of control over patient care along with improvements in the ICU atmosphere were identified as aspects of the ICU experience that may be important targets for quality improvement. Trial registry: ClinicalTrials.gov; No.: NCT00685893; URL: www.clinicaltrials.gov. PMID:22661455

Mechanisms and Predictors of Mitral Regurgitation after High-Risk Myocardial Infarction

PubMed Central

Meris, Alessandra; Amigoni, Maria; Verma, Anil; Thune, Jens Jakob; Køber, Lars; Velazquez, Eric; McMurray, John J. V.; Pfeffer, Marc A.; Califf, Robert; Levine, Robert A.; Solomon, Scott D.

2012-01-01

Background Mitral regurgitation (MR) has been associated with adverse outcomes after myocardial infarction (MI). Without structural valve disease, functional MR has been related to left ventricular (LV) remodeling and geometric deformation of the mitral apparatus. The aims of this study were to elucidate the mechanistic components of MR after high-risk MI and to identify predictors of MR progression during follow-up. Methods The Valsartan in Acute Myocardial Infarction Echo substudy prospectively enrolled 610 patients with LV dysfunction, heart failure, or both after MI. MR at baseline, 1 month, and 20 months was quantified by mapping jet expansion in the left atrium in 341 patients with good-quality echocardiograms. Indices of LV remodeling, left atrial size, and diastolic function and parameters of mitral valve deformation, including tenting area, coaptation depth, anterior leaflet concavity, annular diameters, and contractility, were assessed and related to baseline MR. The progression of MR was further analyzed, and predictors of worsening among the baseline characteristics were identified. Results Tenting area, coaptation depth, annular dilatation, and left atrial size were all associated with the degree of baseline MR. Tenting area was the only significant and independent predictor of worsening MR; a tenting area of 4 cm2 was a useful cutoff to identify worsening of MR after MI and moderate to severe MR after 20 months. Conclusions Increased mitral tenting and larger mitral annular area are determinants of MR degree at baseline, and tenting area is an independent predictor of progression of MR after MI. Although LV remodeling itself contributes to ischemic MR, this influence is directly dependent on alterations in mitral geometry. PMID:22305962

Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

PubMed

Borzouei, Shiva; Soltanian, Ali Reza

2018-01-01

To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artificial neural network was used to identify demographic risk factors for T2DM and their importance. The DeLong method was used to compare the models by fitting in sequential steps. Variables found to be significant at a level of p<0.2 in a univariate logistic regression analysis (age, hypertension, waist circumference, body mass index [BMI], sedentary lifestyle, smoking, vegetable consumption, family history of T2DM, stress, walking, fruit consumption, and sex) were entered into the model. After 7 stages of neural network modeling, only waist circumference (100.0%), age (78.5%), BMI (78.2%), hypertension (69.4%), stress (54.2%), smoking (49.3%), and a family history of T2DM (37.2%) were identified as predictors of the diagnosis of T2DM. In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.

Predictors of noise annoyance in noisy and quiet urban streets.

PubMed

Paunović, Katarina; Jakovljević, Branko; Belojević, Goran

2009-06-01

Although noise annoyance is a major public health problem in urban areas, there is a lack of published data on predictors for noise annoyance in acoustically different urban environments. The aim of the study was to assess the predictive value of various factors on noise annoyance in noisy and quiet urban streets. Equivalent noise levels [Leq (dBA)] were measured during day, evening and night times in all of the streets of a central Belgrade municipality. Based on 24-hour noise levels, the streets were denoted as noisy (24-hour Leq over 65 dBA), or quiet (24-hour Leq under 55 dBA). A cross-sectional study was performed on 1954 adult residents (768 men and 1186 women), aged 18-80 years. Noise annoyance was estimated using a self-report five-graded scale. In both areas, two multivariate logistic regression models were fitted: the first one with nighttime noise indicators and the other one with parameters for 24-hour noise exposure. In noisy streets, the relevant predictors of high annoyance were: the orientation of living room/bedroom toward the street, noise annoyance at workplace, and noise sensitivity. Significant acoustical factors for high noise annoyance were: nighttime noise level [OR=1.02, 95%CI=1.00-1.04 (per decibel)], nighttime heavy traffic [OR=1.01, 95%CI=1.00-1.02 (per vehicle)]; or day-evening-night noise level (Lden) [OR=1.03, 95%CI=1.00-1.07 (per decibel)]. In quiet streets, the significant predictors were: noise sensitivity, the time spent at home daily, light vehicles at nighttime or heavy vehicles at daytime. Our study identified subjective noise sensitivity as a common annoyance predictor, regardless of noise exposure. Noise levels were important indicators of annoyance only in noisy streets, both for nighttime and 24-hour exposure. We propose that noise sensitivity is the most relevant personal trait for future studies and that nighttime noise levels might be as good as Lden in predicting annoyance in noisy urban areas.

Bad nights or bad bars? Multi-level analysis of environmental predictors of aggression in late-night large-capacity bars and clubs.

PubMed

Graham, Kathryn; Bernards, Sharon; Osgood, D Wayne; Wells, Samantha

2006-11-01

To clarify environmental predictors of bar-room aggression by differentiating relationships due to nightly variations versus across bar variations, frequency versus severity of aggression and patron versus staff aggression. Male-female pairs of researcher-observers conducted 1334 observations in 118 large capacity (> 300) bars and clubs in Toronto, Canada. Observers independently rated aspects of the environment (e.g. crowding) at every visit and wrote detailed narratives of each incident of aggression that occurred. Measures of severity of aggression for the visit were calculated by aggregating ratings for each person in aggressive incidents. Although bivariate analyses confirmed the significance of most environmental predictors of aggression identified in previous research, multivariate analyses identified the following key visit-level predictors (controlling for bar-level relationships): rowdiness/permissive environment and people hanging around after closing predicted both frequency and severity of aggression; sexual activity, contact and competition and people with two or more drinks at closing predicted frequency but not severity of aggression; lack of staff monitoring predicted more severe patron aggression, while having more and better coordinated staff predicted more severe staff aggression. Intoxication of patrons was significantly associated with more frequent and severe patron aggression at the bar level (but not at the visit level) in the multivariate analyses and negatively associated with severity of staff aggression at the visit level. The results demonstrate clearly the importance of the immediate environment (not just the type of bar or characteristics of usual patrons) and the importance of specific environmental factors, including staff behaviour, in predicting both frequency and severity of aggression.

Incidence and Predictors of Microbiology Results Returning Post-Discharge and Requiring Follow-up

PubMed Central

El-Kareh, Robert; Roy, Christopher; Brodsky, Gregor; Perencevich, Molly; Poon, Eric G.

2013-01-01

Background Failure to follow up microbiology results pending at discharge can delay appropriate treatment, increasing the risk of patient harm and litigation. Limited data describe the frequency of post-discharge microbiology results requiring a treatment change. Objective To determine the incidence and predictors of post-discharge microbiology results requiring follow-up Design Cross sectional Setting Large academic hospital during 2007 Measurements We evaluated blood, urine, sputum and cerebral spinal fluid (CSF) cultures ordered for hospitalized patients. We identified cultures that returned post-discharge and determined which were clinically important and not treated by an antibiotic to which they were susceptible. We reviewed a random subset to assess the potential need for antibiotic change. Using logistic regression, we identified significant predictors of results requiring follow-up. Results Of 77,349 inpatient culture results, 8,668 (11%) returned post-discharge. Of these, 385 (4%) were clinically important and untreated at discharge. Among 94 manually-reviewed cases, 53% potentially required a change in therapy. Urine cultures were more likely to potentially require therapy change than non-urine cultures (aOR 2.8, 95% CI 1.1–7.2; p=0.03). Also, 76% of 25 results from surgical services potentially required a therapy change, compared with 59% of 29 results from general medicine, 38% of 16 results from oncology and 33% of 24 results from medical subspecialties. Overall, 2.4% of post-discharge cultures potentially necessitated an antibiotic change. Conclusion Many microbiology results return post-discharge and some necessitate a change in treatment. These results arise from many specialties, suggesting the need for a hospital-wide system to ensure effective communication of these results. PMID:21661103

Educational and Cognitive Predictors of Pro- and Antisaccadic Performance

PubMed Central

Chamorro, Yaira; Treviño, Mario; Matute, Esmeralda

2017-01-01

Voluntary gaze control allows people to direct their attention toward selected targets while avoiding distractors. Failure in this ability could be related to dysfunctions in the neural circuits underlying executive functions. Interestingly, recent evidence suggests that factors such as years of schooling and literacy may positively influence goal-directed behavior and inhibitory control. However, we do not yet know whether these factors also have a significant impact on the inhibitory control of oculomotor responses. Using pro- and antisaccadic tasks to assess the behavioral responses of healthy adults, we tested the contribution of years of schooling and reading proficiency to their oculomotor control, while simultaneously analyzing the effects of other individual characteristics related to demographic, cognitive and motor profiles. This approach allowed us to test the hypothesis that schooling factors are closely related to oculomotor performance. Indeed, a regression analysis revealed important contributions of reading speed and intellectual functioning to the choices on both pro- and antisaccadic tasks, while years of schooling, age and block sequence emerged as important predictors of the kinematic properties of eye movements on antisaccadic tasks. Thus, our findings show that years of schooling and reading speed had a strong predictive influence on the oculomotor measures, although age and order of presentation also influenced saccadic performance, as previously reported. Unexpectedly, we found that an indirect measure of intellectual ability also proved to be a good predictor of the control of saccadic movements. The methods and findings of this study will be useful for identifying and breaking down the cognitive and educational components involved in assessing voluntary and automatic responses. PMID:29209249

Predictors of Home Care Expenditures and Death at Home for Cancer Patients in an Integrated Comprehensive Palliative Home Care Pilot Program

PubMed Central

Howell, Doris M.; Abernathy, Tom; Cockerill, Rhonda; Brazil, Kevin; Wagner, Frank; Librach, Larry

2011-01-01

Purpose: Empirical understanding of predictors for home care service use and death at home is important for healthcare planning. Few studies have examined these predictors in the context of the publicly funded Canadian home care system. This study examined predictors for home care use and home death in the context of a “gold standard” comprehensive palliative home care program pilot in Ontario where patients had equal access to home care services. Methods: Secondary clinical and administrative data sources were linked using a unique identifier to examine multivariate factors (predisposing, enabling, need) on total home care expenditures and home death for a cohort of cancer patients enrolled in the HPCNet pilot. Results: Subjects with gastrointestinal symptoms (OR: 1.64; p=0.03) and those with higher income had increased odds of dying at home (OR: 1.14; p<0.001), whereas age, number of GP visits, gastrointestinal symptoms (i.e., nausea, vomiting, bowel obstruction) and eating problems (i.e., anorexia/cachexia) predicted home care expenditures. Conclusions: Predictors of home death found in earlier studies appeared less important in this comprehensive palliative home care pilot. An income effect for home death observed in this study requires examination in future controlled studies. Relevance: Access to palliative home care that is adequately resourced and organized to address the multiple domains of issues that patients/families experience at the end of life has the potential to enable home death and shift care appropriately from limited acute care resources. PMID:22294993

Early concern and disregard for others as predictors of antisocial behavior

PubMed Central

Rhee, Soo Hyun; Friedman, Naomi P.; Boeldt, Debra L.; Corley, Robin P.; Hewitt, John. K.; Knafo, Ariel; Lahey, Benjamin B.; Robinson, JoAnn; Van Hulle, Carol A.; Waldman, Irwin D.; Young, Susan E.; Zahn-Waxler, Carolyn

2012-01-01

Background Prediction of antisocial behavior is important given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. Methods A representative sample of same-sex twins (N = 956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14 to 36 months were examined as predictors of parent- (age 4 to 12), teacher- (age 7 to 12), and self-reported (age 17) antisocial behavior. Results Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher-order antisocial behavior factor (β = .58, p < .01) after controlling for observed concern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. Results of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Conclusions Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. PMID:23320806

Early concern and disregard for others as predictors of antisocial behavior.

PubMed

Rhee, Soo Hyun; Friedman, Naomi P; Boeldt, Debra L; Corley, Robin P; Hewitt, John K; Knafo, Ariel; Lahey, Benjamin B; Robinson, JoAnn; Van Hulle, Carol A; Waldman, Irwin D; Young, Susan E; Zahn-Waxler, Carolyn

2013-02-01

Prediction of antisocial behavior is important, given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. A representative sample of same-sex twins (N=956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14-36 months were examined as predictors of parent- (age 4-12), teacher- (age 7-12), and self-reported (age 17) antisocial behavior.   Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher order antisocial behavior factor (β=.58, p<.01) after controlling for observed concern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. RESULTS of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. © 2012 The Author. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.

Predictors of physician career satisfaction, work-life balance, and burnout.

PubMed

Keeton, Kristie; Fenner, Dee E; Johnson, Timothy R B; Hayward, Rodney A

2007-04-01

To explore factors associated with physician career satisfaction, work-life balance, and burnout focusing on differences across age, gender, and specialty. A cross-sectional, mailed, self-administered survey was sent to a national sample of 2,000 randomly-selected physicians, stratified by specialty, age, and gender (response rate 48%). Main outcome measures included career satisfaction, burnout, and work-life balance. Scales ranged from 1 to 100. Both women and men report being highly satisfied with their careers (79% compared with 76%, P<.01), having moderate levels of satisfaction with work-life balance (48% compared with 49%, P=.24), and having moderate levels of emotional resilience (51% compared with 53%, P=.09). Measures of burnout strongly predicted career satisfaction (standardized beta 0.36-0.60, P<.001). The strongest predictor of work-life balance and burnout was having some control over schedule and hours worked (standardized beta 0.28, P<.001, and 0.20-0.32, P<.001, respectively). Physician gender, age, and specialty were not strong independent predictors of career satisfaction, work-life balance, or burnout. This national physician survey suggests that physicians can struggle with work-life balance yet remain highly satisfied with their career. Burnout is an important predictor of career satisfaction, and control over schedule and work hours are the most important predictors of work-life balance and burnout. II.

Predicting performance: relative importance of students' background and past performance.

PubMed

Stegers-Jager, Karen M; Themmen, Axel P N; Cohen-Schotanus, Janke; Steyerberg, Ewout W

2015-09-01

Despite evidence for the predictive value of both pre-admission characteristics and past performance at medical school, their relative contribution to predicting medical school performance has not been thoroughly investigated. This study was designed to determine the relative importance of pre-admission characteristics and past performance in medical school in predicting student performance in pre-clinical and clinical training. This longitudinal prospective study followed six cohorts of students admitted to a Dutch, 6-year, undergraduate medical course during 2002-2007 (n = 2357). Four prediction models were developed using multivariate logistic regression analysis. Main outcome measures were 'Year 1 course completion within 1 year' (models 1a, 1b), 'Pre-clinical course completion within 4 years' (model 2) and 'Achievement of at least three of five clerkship grades of ≥ 8.0' (model 3). Pre-admission characteristics (models 1a, 1b, 2, 3) and past performance at medical school (models 1b, 2, 3) were included as predictor variables. In model 1a - including pre-admission characteristics only - the strongest predictor for Year 1 course completion was pre-university grade point average (GPA). Success factors were 'selected by admission testing' and 'age > 21 years'; risk factors were 'Surinamese/Antillean background', 'foreign pre-university degree', 'doctor parent' and male gender. In model 1b, number of attempts and GPA at 4 months were the strongest predictors for Year 1 course completion, and male gender remained a risk factor. Year 1 GPA was the strongest predictor for pre-clinical course completion, whereas being male or aged 19-21 years were risk factors. Pre-clinical course GPA positively predicted clinical performance, whereas being non-Dutch or a first-generation university student were important risk factors for lower clinical grades. Nagelkerke's R(2) ranged from 0.16 to 0.62. This study not only confirms the importance of past performance as a predictor

Predictors of body mass index change in Australian primary school children.

PubMed

Hesketh, Kylie; Carlin, John; Wake, Melissa; Crawford, David

2009-01-01

To assess associations between multiple potential predictors and change in child body mass index (BMI). In the 1997 Health of Young Victorians Study, children in Grades preparatory to three (aged 5-10 years) had their height and weight measured. Parents provided information on potential predictors of childhood overweight across six domains (children's diet, children's activity level, family composition, sociodemographic factors, prenatal factors and parental adiposity). Measures were repeated three years later in 2000/1. BMI was transformed to standardised (z) scores using the US 2000 Growth Chart data and children were classified as non-overweight or overweight according to international cut-points. Regression analyses, including baseline BMI z-score as a covariate, assessed the contribution of each potential predictor to change in BMI z-score, development of overweight and spontaneous resolution of overweight in 1,373 children. BMI z-score change was positively associated with frequency of take-away food, food quantity, total weekly screen time, non-Australian paternal country of birth, maternal smoking during pregnancy, and maternal and paternal BMI. Inverse associations were noted for the presence of siblings and rural residence (all p<0.05). Predictors of categorical change (development and resolution of overweight) were less clearly identified, apart from an association between maternal BMI and overweight development (p=0.02). Multivariable models suggested individual determinants have a cumulative effect on BMI change. Strong short-term tracking of BMI makes it difficult to identify predictors of change. Nonetheless, putative determinants across all domains assessed were independently associated with adiposity change. Multi-faceted solutions are likely to be required to successfully deal with the complexities of childhood overweight.

Psychological predictors of mental health and health-related quality of life after bariatric surgery: a review of the recent research.

PubMed

Wimmelmann, Cathrine L; Dela, Flemming; Mortensen, Erik L

2014-01-01

Improvement of mental health and health-related quality of life (HRQOL) is an important success criterion for bariatric surgery. In general, mental health and HRQOL improve after surgery, but some patients experience negative psychological reactions postoperatively and the influence of pre-surgical psychological factors on mental wellbeing after surgery is unclear. The aim of the current article therefore is to review recent research investigating psychological predictors of mental health and HRQOL outcome. We searched PubMed, PsycInfo and Web of Science for studies investigating psychological predictors of either mental health or HRQOL after bariatric surgery. Original prospective studies published between 2003 and 2012 with a sample size >30 and a minimum of 1 year follow-up were included. Only 10 eligible studies were identified. The findings suggest that preoperative psychological factors including psychiatric symptoms, body image and self-esteem may be important for mental health postoperatively. Predictors of postoperative HRQOL seem to include personality, severe psychiatric disorder at baseline and improvement of depressive symptoms. In addition, psychiatric symptoms that persist after surgery and inappropriate eating behaviour postoperatively are likely to contribute to poor health-related quality of life outcome. Certain psychological factors appear to be important for mental health and HRQOL after bariatric surgery. However, the literature is extremely sparse and further research is highly needed. Copyright © 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Identifying Predictors of Negative Psychological Reactions to Stalking Victimization

ERIC Educational Resources Information Center

Johnson, Matthew C.; Kercher, Glen A.

2009-01-01

Victims of stalking often experience a number of negative psychological problems including such things as fear, symptoms of depression, and anger. However, research on factors that lead to these outcomes is limited. The goal of this study was to first identify distinct subgroups of stalking victims based on measures of psychological problems…

[Inpatient Treatment of Complex PTSD Following Childhood Abuse: Effectiveness and Predictors of Treatment Outcome].

PubMed

Kratzer, Leonhard; Heinz, Peter; Schennach, Rebecca; Schiepek, Günter Karl; Padberg, Frank; Jobst, Andrea

2018-05-30

There is a lack of studies investigating the effectiveness of inpatient trauma-focused psychotherapy of complex post-traumatic stress disorder. The first aim of this retrospective investigation was to analyze the course of PTSD. Second, possible predictors of treatment response were investigated. 150 inpatients of Clinic St. Irmingard with complex PTSD following childhood physical and childhood sexual abuse were assessed regarding childhood abuse, PTSD symptomatology, mindfulness, dissociation and general psychopathology. Differences in pre and post scores were analyzed using regression analyses. A classification tree was used to identify predictors of response. The significant reduction of PTSD symptoms corresponded to a large effect (d=1.8) and a reponse rate of 52% according to the reliable change index (p<0.05). Effect sizes for other symptoms were medium to large (0.5identified as negative predictors of reliable change. Trauma-focused inpatient treatment is safe and effective for patients with complex PTSD under naturalistic conditions. Yet, despite significant improvements there is a high rate of nonresponse. Future studies should further investigate the negative predictors of treatment outcome we identified. Possible ways to reduce nonresponse are discussed. © Georg Thieme Verlag KG Stuttgart · New York.

Identifying pneumonia outbreaks of public health importance: can emergency department data assist in earlier identification?

PubMed

Hope, Kirsty; Durrheim, David N; Muscatello, David; Merritt, Tony; Zheng, Wei; Massey, Peter; Cashman, Patrick; Eastwood, Keith

2008-08-01

To retrospectively review the performance of a near real-time Emergency Department (ED) Syndromic Surveillance System operating in New South Wales for identifying pneumonia outbreaks of public health importance. Retrospective data was obtained from the NSW Emergency Department data collection for a rural hospital that has experienced a cluster of pneumonia diagnoses among teenage males in August 2006. ED standard reports were examined for signals in the overall count for each respiratory syndrome, and for elevated counts in individual subgroups including; age, sex and admission to hospital status. Using the current thresholds, the ED syndromic surveillance system would have trigged a signal for pneumonia syndrome in children aged 5-16 years four days earlier than the notification by a paediatrician and this signal was maintained for 14 days. If the ED syndromic surveillance system had been operating it could have identified the outbreak earlier than the paediatrician's notification. This may have permitted an earlier public health response. By understanding the behaviour of syndromes during outbreaks of public health importance, response protocols could be developed to facilitate earlier implementation of control measures.

Predictors of effects of lifestyle intervention on diabetes mellitus type 2 patients.

PubMed

Jacobsen, Ramune; Vadstrup, Eva; Røder, Michael; Frølich, Anne

2012-01-01

The main aim of the study was to identify predictors of the effects of lifestyle intervention on diabetes mellitus type 2 patients by means of multivariate analysis. Data from a previously published randomised clinical trial, which compared the effects of a rehabilitation programme including standardised education and physical training sessions in the municipality's health care centre with the same duration of individual counseling in the diabetes outpatient clinic, were used. Data from 143 diabetes patients were analysed. The merged lifestyle intervention resulted in statistically significant improvements in patients' systolic blood pressure, waist circumference, exercise capacity, glycaemic control, and some aspects of general health-related quality of life. The linear multivariate regression models explained 45% to 80% of the variance in these improvements. The baseline outcomes in accordance to the logic of the regression to the mean phenomenon were the only statistically significant and robust predictors in all regression models. These results are important from a clinical point of view as they highlight the more urgent need for and better outcomes following lifestyle intervention for those patients who have worse general and disease-specific health.

On the importance of identifying, characterizing, and predicting fundamental phenomena towards microbial electrochemistry applications.

PubMed

Torres, César Iván

2014-06-01

The development of microbial electrochemistry research toward technological applications has increased significantly in the past years, leading to many process configurations. This short review focuses on the need to identify and characterize the fundamental phenomena that control the performance of microbial electrochemical cells (MXCs). Specifically, it discusses the importance of recent efforts to discover and characterize novel microorganisms for MXC applications, as well as recent developments to understand transport limitations in MXCs. As we increase our understanding of how MXCs operate, it is imperative to continue modeling efforts in order to effectively predict their performance, design efficient MXC technologies, and implement them commercially. Thus, the success of MXC technologies largely depends on the path of identifying, understanding, and predicting fundamental phenomena that determine MXC performance. Copyright © 2013 Elsevier Ltd. All rights reserved.

Predictors of Heterosexual College Students' Attitudes toward LGBT People

ERIC Educational Resources Information Center

Woodford, Michael R.; Silverschanz, Perry; Swank, Eric; Scherrer, Kristin S.; Raiz, Lisa

2012-01-01

This study identifies the predictors of U.S. heterosexual undergraduate and graduate college students' attitudes toward lesbian, gay, bisexual, and transgender (LGBT) people as a group rather than toward individual identities. Findings suggest that affirming LGBT attitudes are most strongly associated with liberal political ideology and whether…

Heat Waves and Climate Change: Applying the Health Belief Model to Identify Predictors of Risk Perception and Adaptive Behaviours in Adelaide, Australia

PubMed Central

Akompab, Derick A.; Bi, Peng; Williams, Susan; Grant, Janet; Walker, Iain A.; Augoustinos, Martha

2013-01-01

Heat waves are considered a health risk and they are likely to increase in frequency, intensity and duration as a consequence of climate change. The effects of heat waves on human health could be reduced if individuals recognise the risks and adopt healthy behaviours during a heat wave. The purpose of this study was to determine the predictors of risk perception using a heat wave scenario and identify the constructs of the health belief model that could predict adaptive behaviours during a heat wave. A cross-sectional study was conducted during the summer of 2012 among a sample of persons aged between 30 to 69 years in Adelaide. Participants’ perceptions were assessed using the health belief model as a conceptual frame. Their knowledge about heat waves and adaptive behaviours during heat waves was also assessed. Logistic regression analyses were performed to determine the predictors of risk perception to a heat wave scenario and adaptive behaviours during a heat wave. Of the 267 participants, about half (50.9%) had a high risk perception to heat waves while 82.8% had good adaptive behaviours during a heat wave. Multivariate models found that age was a significant predictor of risk perception. In addition, participants who were married (OR = 0.21; 95% CI, 0.07–0.62), who earned a gross annual household income of ≥$60,000 (OR = 0.41; 95% CI, 0.17–0.94) and without a fan (OR = 0.29; 95% CI, 0.11–0.79) were less likely to have a high risk perception to heat waves. Those who were living with others (OR = 2.87; 95% CI, 1.19–6.90) were more likely to have a high risk perception to heat waves. On the other hand, participants with a high perceived benefit (OR = 2.14; 95% CI, 1.00–4.58), a high “cues to action” (OR = 3.71; 95% CI, 1.63–8.43), who had additional training or education after high school (OR = 2.65; 95% CI, 1.25–5.58) and who earned a gross annual household income of ≥$60,000 (OR = 2.66; 95% CI, 1.07–6.56) were more likely to have good

Negative predictors for satisfaction in patients seeking facial cosmetic surgery: a systematic review.

PubMed

Herruer, Jasmijn M; Prins, Judith B; van Heerbeek, Niels; Verhage-Damen, Godelieve W J A; Ingels, Koen J A O

2015-06-01

Facial cosmetic surgery is becoming more popular. Patients generally indicate they are satisfied with the results. Certain patient characteristics, however, have been described as negative predictors for satisfaction. Psychopathology such as body dysmorphic disorder and personality disorders are notorious. Psychosocial and cultural factors are more difficult to distinguish. This systematic review defines the predictors, other than body dysmorphic disorder, of an unsatisfactory outcome after facial cosmetic surgery. The authors are also interested in whether valid preoperative assessment instruments are available to determine these factors. An extensive systematic PubMed/MEDLINE and Cochrane Library search was performed. In addition, relevant studies from the reference lists of the selected articles were added. There were no publication-year restrictions, and the last search was conducted on July 20, 2014. All factors described as negative predictors for patient satisfaction after facial cosmetic surgery were identified. Twenty-seven articles were analyzed, including 11 prospective studies, two retrospective studies, one case study, eight reviews, and five expert opinions. The following factors were identified: male sex, young age, unrealistic expectations, minimal deformities, demanding patients, "surgiholics," relational or familial disturbances, an obsessive personality, and a narcissistic personality. This review indicates the possible demographic and psychosocial predictors for an unsatisfactory outcome of facial cosmetic surgery. A brief personality assessment tool that could be used to address predictors preoperatively was not found. The authors suggest use of the Glasgow Benefit Inventory to assess patient satisfaction postoperatively. Further research is being undertaken to develop such an instrument.

Predictors of response to cardiac resynchronization therapy: A prospective cohort study.

PubMed

Abreu, Ana; Oliveira, Mário; Silva Cunha, Pedro; Santa Clara, Helena; Santos, Vanessa; Portugal, Guilherme; Rio, Pedro; Soares, Rui; Moura Branco, Luísa; Alves, Marta; Papoila, Ana Luísa; Ferreira, Rui; Mota Carmo, Miguel

2017-06-01

Cardiac resynchronization therapy (CRT) has modified the prognosis of chronic heart failure (HF) with left ventricular systolic dysfunction. However, 30% of patients do not have a favorable response. The big question is how to determine predictors of response. To identify baseline characteristics that might influence echocardiographic response to CRT. We performed a prospective single-center hospital-based cohort study of consecutive HF patients selected to CRT (NYHA class II-IV, left ventricular ejection fraction (LVEF) <35% and QRS complex ≥120 ms). Responders were defined as those with a ≥5% absolute increase in LVEF at six months. Clinical, electrocardiographic, laboratory, echocardiographic, autonomic, endothelial and cardiopulmonary function parameters were assessed before CRT device implantation. Logistic regression models were used. Seventy-nine patients were included, 54 male (68.4%), age 68.1 years (standard deviation 10.2), 19 with ischemic etiology (24%). At six months, 51 patients (64.6%) were considered responders. Although by univariate analysis baseline tricuspid annular plane systolic excursion (TAPSE) and serum creatinine were significantly different in responders, on multivariate analysis only TAPSE was independently associated with response, with higher values predicting a positive response to CRT (OR=1.13; 95% CI: 1.02-1.26; p=0.020). TAPSE ≥15 mm was strongly associated with response, and TAPSE <15 mm with non-response (p=0.005). Responders had no TAPSE values below 10 mm. From a range of clinical and technical baseline characteristics, multivariate analysis only identified TAPSE as an independent predictor of CRT response, with TAPSE <15 mm associated with non-response. This study highlights the importance of right ventricular dysfunction in CRT response. ClinicalTrials.gov identifier: NCT02413151. Copyright © 2017 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.

Predictors of organ donation behavior among Hispanic Americans.

PubMed

Alvaro, Eusebio M; Jones, Sara Pace; Robles, Antonio Santa Maria; Siegel, Jason T

2005-06-01

Hispanic Americans have a substantial need for organ transplants and are underrepresented among organ donors, yet little is known about predictors of organ donation outcomes in this population. To assess factors that may function as significant predictors of organ donation behavior among Hispanic Americans. A random-digit-dial computer-assisted telephone-interview survey. Setting-Pima and Maricopa counties in Arizona. 1200 Hispanic Americans. Family discussion of organ donation and willingness to be an organ donor. Significant predictors of family discussion of organ donation include knowing someone willing to be an organ donor and disagreeing that carrying a donor card results in inadequate medical care. Willingness to be a donor is also predictive of family discussion. Significant predictors of willingness to be an organ donor are knowing someone willing to be an organ donor, being female, and disagreeing that thoughts about donation leads to thoughts about one's own mortality. Having a family discussion about organ donation is also predictive of willingness to be an organ donor. The data provide a springboard for larger studies encompassing the diversity and geographical dispersion of Hispanic Americans. The data also highlight the importance of educational efforts to make Hispanic Americans aware of people in their community who have donated in the past or who are now potential donors.

Antecedents of emotion knowledge: Predictors of individual differences in young children

PubMed Central

Bennett, David S.; Bendersky, Margaret; Lewis, Michael

2006-01-01

Individual differences in emotion knowledge were examined among 188 4-year-old, predominantly African American children. Cognitive ability and negative emotionality, maternal characteristics (parenting, verbal intelligence, and depressive symptoms), environmental risk, and child sex were examined as predictors of emotion knowledge. Regression analyses indicated that cognitively skilled children who resided in relatively low risk environments with verbally intelligent mothers possessed greater emotion knowledge. Proximal (4-year) child cognitive ability was a stronger predictor than distal (2-year) cognitive ability. Positive parenting at 4 years was correlated with child emotion knowledge, but this relation disappeared when parenting was examined in the context of other predictors. These findings highlight the potential role of child cognitive ability, along with environmental risk and maternal verbal intelligence, in children’s emotion knowledge and demonstrate the importance of examining a variety of predictors for their unique contribution to emotion knowledge. PMID:16894396

The Child and Adolescent Services Assessment: Interrater Reliability and Predictors of Rater Disagreement.

PubMed

Schwartz, Karen T G; Bowling, Amanda A; Dickerson, John F; Lynch, Frances L; Brent, David A; Porta, Giovanna; Iyengar, Satish; Weersing, V Robin

2018-05-24

The current study evaluated the interrater reliability of the Child and Adolescent Services Assessment (CASA), a widely used structured interview measuring pediatric mental health service use. Interviews (N = 72) were randomly selected from a pediatric effectiveness trial, and audio was coded by an independent rater. Regressions were employed to identify predictors of rater disagreement. Interrater reliability was high for items (> 94%) and summary metrics (ICC > .79) across service sectors. Predictors of disagreement varied by domain; significant predictors indexed higher clinical severity or social disadvantage. Results support the CASA as a reliable and robust assessment of pediatric service use, but administrators should be alert when assessing vulnerable populations.

Predictors of health-related quality of life among industrial workers: A descriptive correlational study.

PubMed

Malak, Malakeh Z

2017-06-01

Assessment and evaluation of the health-related quality of life of industrial workers is an important research focus. This descriptive correlational study identifies the predictors of health-related quality of life using a random sampling of industrial workers (n = 640) from construction factories in Amman Governorate in Jordan using demographic characteristics, a health and work-related factors questionnaire, and the World Health Organization Quality of Life-Brief scale. Results showed that industrial workers had good physical health but a poor working environment. There was a statistically significant relationship between educational level, conflict between work and individual life and work and social life, working hours, and workload, and all domains of health-related quality of life. Overall, educational level was the main predictor for all domains of health-related quality of life. Such results confirm the need to develop appropriate interventions and strategies to improve workers' health-related quality of life. Furthermore, developing an integrated approach among policymakers, employers, and work organizations to enhance industrial workers' occupational health programs could be effective. © 2017 John Wiley & Sons Australia, Ltd.

Temporal effects in trend prediction: identifying the most popular nodes in the future.

PubMed

Zhou, Yanbo; Zeng, An; Wang, Wei-Hong

2015-01-01

Prediction is an important problem in different science domains. In this paper, we focus on trend prediction in complex networks, i.e. to identify the most popular nodes in the future. Due to the preferential attachment mechanism in real systems, nodes' recent degree and cumulative degree have been successfully applied to design trend prediction methods. Here we took into account more detailed information about the network evolution and proposed a temporal-based predictor (TBP). The TBP predicts the future trend by the node strength in the weighted network with the link weight equal to its exponential aging. Three data sets with time information are used to test the performance of the new method. We find that TBP have high general accuracy in predicting the future most popular nodes. More importantly, it can identify many potential objects with low popularity in the past but high popularity in the future. The effect of the decay speed in the exponential aging on the results is discussed in detail.

Temporal Effects in Trend Prediction: Identifying the Most Popular Nodes in the Future

PubMed Central

Zhou, Yanbo; Zeng, An; Wang, Wei-Hong

2015-01-01

Prediction is an important problem in different science domains. In this paper, we focus on trend prediction in complex networks, i.e. to identify the most popular nodes in the future. Due to the preferential attachment mechanism in real systems, nodes’ recent degree and cumulative degree have been successfully applied to design trend prediction methods. Here we took into account more detailed information about the network evolution and proposed a temporal-based predictor (TBP). The TBP predicts the future trend by the node strength in the weighted network with the link weight equal to its exponential aging. Three data sets with time information are used to test the performance of the new method. We find that TBP have high general accuracy in predicting the future most popular nodes. More importantly, it can identify many potential objects with low popularity in the past but high popularity in the future. The effect of the decay speed in the exponential aging on the results is discussed in detail. PMID:25806810

Case-Mix Variables and Predictors for Outcomes of Laparoscopic Hysterectomy: A Systematic Review.

PubMed

Driessen, Sara R C; Sandberg, Evelien M; la Chapelle, Claire F; Twijnstra, Andries R H; Rhemrev, Johann P T; Jansen, Frank Willem

2016-01-01

The assessment of surgical quality is complex, and an adequate case-mix correction is missing in currently applied quality indicators. The purpose of this study is to give an overview of all studies mentioning statistically significant associations between patient characteristics and surgical outcomes for laparoscopic hysterectomy (LH). Additionally, we identified a set of potential case-mix characteristics for LH. This systematic review was conducted according to the Meta-Analysis of Observational Studies in Epidemiology guidelines. We searched PubMed and EMBASE from January 1, 2000 to August 1, 2015. All articles describing statistically significant associations between patient characteristics and adverse outcomes of LH for benign indications were included. Primary outcomes were blood loss, operative time, conversion, and complications. The methodologic quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The included articles were summed per predictor and surgical outcome. Three sets of case-mix characteristics were determined, stratified by different levels of evidence. Eighty-five of 1549 identified studies were considered eligible. Uterine weight and body mass index (BMI) were the most mentioned predictors (described, respectively, 83 and 45 times) in high quality studies. For longer operative time and higher blood loss, uterine weight ≥ 250 to 300 g and ≥500 g and BMI ≥ 30 kg/m(2) dominated as predictors. Previous operations, adhesions, and higher age were also considered as predictors for longer operative time. For complications and conversions, the patient characteristics varied widely, and uterine weight, BMI, previous operations, adhesions, and age predominated. Studies of high methodologic quality indicated uterine weight and BMI as relevant case-mix characteristics for all surgical outcomes. For future development of quality indicators of LH and to compare surgical outcomes adequately, a case

Predictors of College Student Suicidal Ideation: Gender Differences

ERIC Educational Resources Information Center

Stephenson, Hugh; Pena-Shaff, Judith; Quirk, Priscilla

2006-01-01

There is a need to identify students at risk for suicide. Predictors of suicidality were examined separately for men and women in a college health survey of 630 students. Women reported higher levels of suicidal ideation than men in the previous year. Separate regression analyses for men and women accounted for significant amounts of the variance…

Predictors of Adult Attitudes toward Corporal Punishment of Children

ERIC Educational Resources Information Center

Gagne, Marie-Helene; Tourigny, Marc; Joly, Jacques; Pouliot-Lapointe, Joelle

2007-01-01

This study identifies predictors of favorable attitudes toward spanking. Analyses were performed with survey data collected from a representative sample of 1,000 adults from Quebec, Canada. According to this survey, a majority of respondents endorsed spanking, despite their recognition of potential harm associated with corporal punishment (CP) of…

Parents' Primary Professional Sources of Parenting Advice Moderate Predictors of Parental Attitudes toward Corporal Punishment.

PubMed

Taylor, Catherine A; McKasson, Sarah; Hoy, Guenevere; DeJong, William

2017-02-01

Despite the risk it poses to children's mental and physical health, approval and use of corporal punishment (CP) remains high in the United States. Informed by the Theory of Planned Behavior, we examined potential predictors of attitudes supportive of CP while assessing the moderating effects of parents' (N=500) chosen primary professional source of advice regarding child discipline: pediatricians (47.8%), religious leaders (20.8%), mental health professionals (MHPs) (n=18.4%), or other identified professionals (13.0%). We conducted a random-digit-dial telephone survey among parents ages 18 and over within New Orleans, LA. The main outcome measure was derived from the Attitudes Toward Spanking scale (ATS). The main "predictors" were: perceived injunctive norms (i.e., perceived approval of CP by professionals; and by family and friends), perceived descriptive norms of family and friends regarding CP, and expected outcomes of CP use. We used multivariate OLS models to regress ATS scores on the predictor variables for each subset of parents based on their chosen professional source of advice. Perceived approval of CP by professionals was the strongest predictor of parental attitudes supportive of CP, except for those seeking advice from MHPs. Perceived injunctive and descriptive norms of family and friends were important, but only for those seeking advice from pediatricians or religious leaders. Positive expected outcomes of CP mattered, but only for those seeking advice from religious leaders or MHPs. In conclusion, the strength and relevance of variables predicting attitudes toward CP varied according to the professional from which the parent was most likely to seek advice.

Predictors of burnout: results from a prospective community study.

PubMed

Rössler, Wulf; Hengartner, Michael P; Ajdacic-Gross, Vladeta; Angst, Jules

2015-02-01

The possible link between work strain and subsequent mental disorders has attracted public attention in many European countries. Burnout has become a favored concept within this context. Most burnout research has concentrated on various professional groups and less so on ordinary community samples. We analyzed the data collected from a 30-year community sample during seven measuring occasions, beginning in 1978. In the last assessment (2008), we included for the first time the Maslach Burnout Inventory (MBI). Making the diagnosis of a lifetime mental disorder a predictor for burnout required us to compile the cumulative prevalence rate over all seven occasions. We also evaluated various psycho-social predictors of burnout over the life cycle of our sample. Concurrent associations of the MBI with subscales from the SCL-90-R were also investigated. The relationship of burnout with several SCL-90-R subscales demonstrated that, in all dimensions, burnout is associated with significant psychopathology. Persons with a lifetime mood disorder, and especially those with a combination of mood and anxiety disorders, had a higher risk for subsequent burnout. Various partnership problems were another predictor for burnout. In conclusion, the role of mental disorder as an occupational illness remains controversial. Various forms of such disorders as well as some psycho-social predictors can predispose to burnout. By contrast, work-related predictors appear to be less important.

DNA methylation as a predictor of fetal alcohol spectrum disorder.

PubMed

Lussier, Alexandre A; Morin, Alexander M; MacIsaac, Julia L; Salmon, Jenny; Weinberg, Joanne; Reynolds, James N; Pavlidis, Paul; Chudley, Albert E; Kobor, Michael S

2018-01-01

Fetal alcohol spectrum disorder (FASD) is a developmental disorder that manifests through a range of cognitive, adaptive, physiological, and neurobiological deficits resulting from prenatal alcohol exposure. Although the North American prevalence is currently estimated at 2-5%, FASD has proven difficult to identify in the absence of the overt physical features characteristic of fetal alcohol syndrome. As interventions may have the greatest impact at an early age, accurate biomarkers are needed to identify children at risk for FASD. Building on our previous work identifying distinct DNA methylation patterns in children and adolescents with FASD, we have attempted to validate these associations in a different clinical cohort and to use our DNA methylation signature to develop a possible epigenetic predictor of FASD. Genome-wide DNA methylation patterns were analyzed using the Illumina HumanMethylation450 array in the buccal epithelial cells of a cohort of 48 individuals aged 3.5-18 (24 FASD cases, 24 controls). The DNA methylation predictor of FASD was built using a stochastic gradient boosting model on our previously published dataset FASD cases and controls (GSE80261). The predictor was tested on the current dataset and an independent dataset of 48 autism spectrum disorder cases and 48 controls (GSE50759). We validated findings from our previous study that identified a DNA methylation signature of FASD, replicating the altered DNA methylation levels of 161/648 CpGs in this independent cohort, which may represent a robust signature of FASD in the epigenome. We also generated a predictive model of FASD using machine learning in a subset of our previously published cohort of 179 samples (83 FASD cases, 96 controls), which was tested in this novel cohort of 48 samples and resulted in a moderately accurate predictor of FASD status. Upon testing the algorithm in an independent cohort of individuals with autism spectrum disorder, we did not detect any bias towards

Family Functioning and Predictors of Runaway Behavior Among At-Risk Youth

PubMed Central

Holliday, Stephanie Brooks; Edelen, Maria Orlando; Tucker, Joan S.

2016-01-01

Purpose Adolescent runaway behavior is associated with a host of negative outcomes in young adulthood. Therefore, it is important to understand the factors that predict running away in youth. Methods Longitudinal data from 111 at-risk families were used to identify proximal predictors of runaway behavior over a 12-week period. On average, youth were 14.96 years old, and 45% were female. Ten percent of youth ran away during the 12-week follow-up period. Results In bivariate analyses, running away was predicted by poorer youth- and parent-rated family functioning, past runaway behavior, and other problem behaviors (e.g., substance use, delinquency), but not poorer perceived academic functioning. Results of a hierarchical logistic regression revealed a relationship between youth-rated family functioning and runaway behavior. However, this effect became non-significant after accounting for past runaway behavior and other problem behaviors, both of which remained significant predictors in the multivariable model. Conclusion These findings suggest that youth who run away may be engaged in a more pervasive pattern of problematic behavior, and that screening and prevention programs need to address the cycle of adolescent defiant behavior associated with running away. Recommendations for clinical practice with this at-risk population are discussed. PMID:28496291

[Predictors of Family Dysfunction among Adolescent Students].

PubMed

Gómez-Bustamante, Edna Margarita; Castillo-Ávila, Irma; Cogollo, Zuleima

2013-03-01

Determination of family dysfunction predictors in adolescent students of Cartagena, Colombia. A cross-sectional analytical research was conducted by means of a probabilistic sample per conglomerate of high-school students. Participation of students between 13 and 17 years was requested. Family dysfunction was identified through the family APGAR scale. Predictors were adjusted by binary logistic regression. A total of 1,730 students agreed to participate, mean age was 14.7 years (SD=1.2), and 52.7% were girls. The family APGAR scale showed a Cronbach alpha of 0.78. A group of 896 students (51.8%) reported family dysfunction. Predictors of family dysfunction were: clinically significant depressive symptoms (OR=3.61; IC 95%: 2.31-5.63), low religiosity (OR=1.73; CI 95%: 1.41-2.13), non-nuclear family (OR=1.71, CI 95% 1.71-2.09) (OR=1.73, 95% CI 1.41-2.13), non-nuclear family (OR=1.71, 95%: CI 1.41-2.09), consumption of any illegal substance in their lives (OR=1.67, CI 95%: 1.15-2.13), residents of depressed neighborhoods (OR = 1.49; CI 95%: 1.19-1.87), and poor academic performance (OR=1.43; CI 95%: 1.15-1.76). Clinically significant depressive symptoms, low religiosity and non-nuclear family are the main predictors of family dysfunction among adolescent students in Cartagena, Colombia. The association is possibly bidirectional. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

Clinical and Dosimetric Predictors of Acute Severe Lymphopenia During Radiation Therapy and Concurrent Temozolomide for High-Grade Glioma

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

Huang, Jiayi, E-mail: jhuang@radonc.wustl.edu; DeWees, Todd A.; Badiyan, Shahed N.

Purpose: Acute severe lymphopenia (ASL) frequently develops during radiation therapy (RT) and concurrent temozolomide (TMZ) for high-grade glioma (HGG) and is associated with decreased survival. The current study was designed to identify potential predictors of ASL, with a focus on actionable RT-specific dosimetric parameters. Methods and Materials: From January 2007 to December 2012, 183 patients with HGG were treated with RT+TMZ and had available data including total lymphocyte count (TLC) and radiation dose-volume histogram parameters. ASL was defined as TLC of <500/μL within the first 3 months from the start of RT. Stepwise logistic regression analysis was used to determine themore » most important predictors of ASL. Results: Fifty-three patients (29%) developed ASL. Patients with ASL had significantly worse overall survival than those without (median: 12.5 vs 20.2 months, respectively, P<.001). Stepwise logistic regression analysis identified female sex (odds ratio [OR]: 5.30; 95% confidence interval [CI]: 2.46-11.41), older age (OR: 1.05; 95% CI: 1.02-1.09), lower baseline TLC (OR: 0.92; 95% CI: 0.87-0.98), and higher brain volume receiving 25 Gy (V{sub 25Gy}) (OR: 1.03; 95% CI: 1.003-1.05) as the most significant predictors for ASL. Brain V{sub 25Gy} <56% appeared to be the optimal threshold (OR: 2.36; 95% CI: 1.11-5.01), with an ASL rate of 38% versus 20% above and below this threshold, respectively (P=.006). Conclusions: Female sex, older age, lower baseline TLC, and higher brain V{sub 25Gy} are significant predictors of ASL during RT+TMZ therapy for HGG. Maintaining the V{sub 25Gy} of brain below 56% may reduce the risk of ASL.« less

Global Sensitivity Analysis for Identifying Important Parameters of Nitrogen Nitrification and Denitrification under Model and Scenario Uncertainties

NASA Astrophysics Data System (ADS)

Ye, M.; Chen, Z.; Shi, L.; Zhu, Y.; Yang, J.

2017-12-01

Nitrogen reactive transport modeling is subject to uncertainty in model parameters, structures, and scenarios. While global sensitivity analysis is a vital tool for identifying the parameters important to nitrogen reactive transport, conventional global sensitivity analysis only considers parametric uncertainty. This may result in inaccurate selection of important parameters, because parameter importance may vary under different models and modeling scenarios. By using a recently developed variance-based global sensitivity analysis method, this paper identifies important parameters with simultaneous consideration of parametric uncertainty, model uncertainty, and scenario uncertainty. In a numerical example of nitrogen reactive transport modeling, a combination of three scenarios of soil temperature and two scenarios of soil moisture leads to a total of six scenarios. Four alternative models are used to evaluate reduction functions used for calculating actual rates of nitrification and denitrification. The model uncertainty is tangled with scenario uncertainty, as the reduction functions depend on soil temperature and moisture content. The results of sensitivity analysis show that parameter importance varies substantially between different models and modeling scenarios, which may lead to inaccurate selection of important parameters if model and scenario uncertainties are not considered. This problem is avoided by using the new method of sensitivity analysis in the context of model averaging and scenario averaging. The new method of sensitivity analysis can be applied to other problems of contaminant transport modeling when model uncertainty and/or scenario uncertainty are present.

Prevalence and predictors associated with intestinal infections by protozoa and helminths in southern Brazil.

PubMed

Casavechia, Maria Teresinha Gomes; Lonardoni, Maria Valdrinez Campana; Venazzi, Eneide Aparecida Sabaini; Campanerut-Sá, Paula Aline Zanetti; da Costa Benalia, Hugo Rafael; Mattiello, Matheus Felipe; Menechini, Pedro Victor Lazaretti; Dos Santos, Carlos Aparecido; Teixeira, Jorge Juarez Vieira

2016-06-01

Approximately 2 billion people are infected with soil-transmitted helminths worldwide, mainly in tropical and subtropical areas. This research aimed to investigate the prevalence and predictors associated with parasitic infections in primary health care. A cross-sectional study was performed with a large random sample to identify the prevalence and predictors associated with parasitic infections in primary health care in Marialva, southern Brazil, from April 2011 to September 2013. Stool samples from 775 individuals were analyzed for the presence of protozoan cysts, helminth eggs, and larvae. The overall prevalence of intestinal parasites was 13.94 %, and the prevalence of protozoa and helminths was 15.1 and 2.9 %, respectively. The predictor variables that were associated with intestinal parasites were male gender odds ratio (OR) 1.60, 95 % confidence interval (CI 1.10-2.40) and the absence of a kitchen garden (OR 2.28, 95 % CI, 1.08-4.85). Positive associations were found between Giardia duodenalis and individuals aged ≤18 with high risk (OR 19.0, 95 % CI 2.16-167.52), between Endolimax nana and the absence of a kitchen garden (p < 0.01), and between Trichuris trichiura and the presence of a kitchen garden (p = 0.014). Polyparasitism was present in 27.27 % of infected individuals. Our findings confirmed a relatively low prevalence in primary care, compared to international standards, despite the rare publications in the area. As variables, male gender and the absence of a kitchen garden stood out as important predictors. It is highly relevant that the health conditions of the population comply with consistent standards.

Predictors of outcome for cognitive behaviour therapy in binge eating disorder.

PubMed

Lammers, Mirjam W; Vroling, Maartje S; Ouwens, Machteld A; Engels, Rutger C M E; van Strien, Tatjana

2015-05-01

The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6 months later (N = 190). We assessed eating disorder psychopathology, general psychopathology, personality characteristics and demographic variables using self-report questionnaires. Treatment outcome was measured using the bulimia subscale of the Eating Disorder Inventory 1. Predictors were determined using hierarchical linear regression analyses. Several variables significantly predicted outcome, four of which were found to be both baseline predictors of treatment outcome and end-of-treatment predictors of follow-up: Higher levels of drive for thinness, higher levels of interoceptive awareness, lower levels of binge eating pathology and, in women, lower levels of body dissatisfaction predicted better outcome in the short and longer term. Based on these results, several suggestions are made to improve treatment outcome for BED patients. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.

Predictors of smoking cessation among staff in public Universities in Klang Valley, Malaysia.

PubMed

Yasin, Siti Munira; Masilamani, Retneswari; Ming, Moy Foong; Koh, David

2011-01-01

Smoking cessation studies are often performed in clinic based settings. The present example aimed to find predictors of success among staff in worksite smoking cessation programmes in two major public universities in Klang Valley, Malaysia. All staff from both universities received an open invitation via staff e-mail and letters to participate. At the start of treatment, participants were administered the Rhode Island Stress and Coping Questionnaire and Family Support Redding's Questionnaire. Behaviour therapy with free nicotine replacement therapy (NRT) were given as treatment. After two months, they were contacted to determine their smoking status. 185 staff from University A (n=138) and University B (n=47), responded and voluntarily showed interest to quit. There was no significant difference in respondents with respect to socio demographic characteristics and smoking history. After two months of treatment, quit rates were 24% in University A vs. 38 % in University B (p>0.05). Univariate predictors of cessation were adherence to NRT (p<0.001), smoking fewer cigarettes per day (p<0.05) and the number of behaviour therapy sessions attended (p<0.001). Logistic regression identified 3 significant predictors of smoking cessation. Participants attending more than one session (OR= 27.00; 95% CI : 6.50; 111.6), and having higher pre-treatment general stress (OR= 2.15; 95% CI: 1.14; 4.05) were more likely to quit, while a higher number of cigarettes smoked (OR= 0.19: 95% CI: 0.06; 0.59) reduced the likelihood of quitting. Increasing age, ability to cope with stress and family support were not significant predictors. We conclude that factors such as the number of counseling sessions, the amount of cigarettes smoked at baseline, adherence to NRT and pretreatment stress are important considerations for success in a worksite smoking cessation programme.

Fall predictors in older cancer patients: a multicenter prospective study.

PubMed

Vande Walle, Nathalie; Kenis, Cindy; Heeren, Pieter; Van Puyvelde, Katrien; Decoster, Lore; Beyer, Ingo; Conings, Godelieve; Flamaing, Johan; Lobelle, Jean-Pierre; Wildiers, Hans; Milisen, Koen

2014-12-15

In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (≥1 fall) during follow-up. Older patients (70 years or more) with a cancer treatment decision were included. At baseline, all patients underwent geriatric screening (G8 and Flemish Triage Risk Screening Tool), followed by a geriatric assessment including living situation, activities of daily living (ADL), instrumental activities of daily living (IADL), fall history in the past 12 months, fatigue, cognition, depression, nutrition, comorbidities and polypharmacy. Questionnaires were used to collect follow-up (2-3 months) data. Univariate and multivariate analyses were performed to identify predictors for falls (≥1 fall) during follow-up. At baseline, 295 (31.5%) of 937 included patients reported at least one fall in the past 12 months with 88 patients (29.5%) sustaining a major injury. During follow-up (2-3 months), 142 (17.6%) patients fell, of whom 51.4% fell recurrently and 17.6% reported a major injury. Baseline fall history in the past 12 months (OR = 3.926), fatigue (OR = 0.380), ADL dependency (OR = 0.492), geriatric risk profile by G8 (OR = 0.471) and living alone (OR = 1.631) were independent predictors of falls (≥1 fall) within 2-3 months after cancer treatment decision. Falls are a serious problem among older cancer patients. Geriatric screening and assessment data can identify patients at risk for a fall. A patient with risk factors associated with falls should undergo further evaluation and intervention to prevent potentially injurious fall incidents.

Predictors of business return in New Orleans after Hurricane Katrina.

PubMed

Lam, Nina S N; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

2012-01-01

We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.

Predictors of Business Return in New Orleans after Hurricane Katrina

PubMed Central

Lam, Nina S. N.; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

2012-01-01

We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster. PMID:23133530

Predictors of Performance on the MMSE and the DRS-2 Among American Indian Elders

PubMed Central

Jervis, Lori L.; Fickenscher, Alexandra; Beals, Janette; Cullum, C. Munro; Novins, Douglas K.; Manson, Spero M.; Arciniegas, David B.

2015-01-01

Little is known about factors that predict older American Indians’ performance on cognitive tests. This study examined 137 American Indian elders’ performance on the MMSE and the Dementia Rating Scale—Second Edition (DRS-2). Multivariate regression identified younger age, more education, not receiving Supplemental Security Income, and frequent receipt of needed health care as predictors of better performance on the MMSE. Better performance on the DRS-2 was predicted by more education, boarding school attendance, not receiving Supplemental Security Income, and frequent receipt of needed health care. This study points to the importance of economic and educational factors on cognitive test performance among American Indian elders. PMID:21037127

Predictors of performance on the MMSE and the DRS-2 among American Indian elders.

PubMed

Jervis, Lori L; Fickenscher, Alexandra; Beals, Janette; Cullum, C Munro; Novins, Douglas K; Manson, Spero M; Arciniegas, David B

2010-01-01

Little is known about factors that predict older American Indians' performance on cognitive tests. This study examined 137 American Indian elders' performance on the MMSE and the Dementia Rating Scale-Second Edition (DRS-2). Multivariate regression identified younger age, more education, not receiving Supplemental Security Income, and frequent receipt of needed health care as predictors of better performance on the MMSE. Better performance on the DRS-2 was predicted by more education, boarding school attendance, not receiving Supplemental Security Income, and frequent receipt of needed health care. This study points to the importance of economic and educational factors on cognitive test performance among American Indian elders.

Predictors of change in sports participation in Latino and non-Latino children.

PubMed

Corder, Kirsten; Crespo, Noe C; van Sluijs, Esther M F; Sallis, James F; Shadron, Lisa M; Moody, Jamie S; Elder, John P

2012-07-01

Few prospective studies have examined predictors of change in specific physical activity (PA) behaviours in different ethnic groups. To assess predictors of change in sports participation in Latino and non-Latino 5-8 year-old children in San Diego, California. Average sports participation frequency (days/week) was assessed by validated parent-report at baseline (Nov 2006-May 2008) and 1 year later in 541 children (45.0% male, 41.1% Latino; mean ± SD age: 6.6 ± 0.7 years) taking part in an obesity prevention study (Project MOVE). Biological (sex, age, Body Mass Index z-score), socio-cultural (ethnicity, income, care giver education), parental (PA rules, PA encouragement) and environmental factors (home PA equipment, PA location) were assessed at baseline. Associations between change in sports participation and potential predictors were studied using multilevel linear regression stratified by Latino ethnicity, adjusted for sex, baseline sport participation, study condition and recruitment area. Sports participation increased over 1 year (mean change: +0.5 days; p<0.001) and change was similar for boys and girls (p=0.95), but Latino children showed a greater increase (p=0.03). The number of locations used for PA (p=0.024) and the total frequency of PA location use (p=0.018) were positively associated with increased sports participation among Latinos. No predictors were identified for non-Latino children. Only factors relating to PA location were identified as predictors of change in sports participation for Latino children. Interventions targeting specific PA behaviours such as sports participation may need to consider PA locations for Latino children and be tailored for specific ethnic groups.

Predictors of Change in Sports Participation in Latino and non-Latino Children

PubMed Central

Corder, Kirsten; Crespo, Noe C.; van Sluijs, Esther M. F.; Sallis, James F.; Shadron, Lisa M.; Moody, Jamie S.; Elder, John P.

2013-01-01

Background Few prospective studies have examined predictors of change in specific physical activity (PA) behaviours in different ethnic groups. Purpose To assess predictors of change in sports participation in Latino and non-Latino 5-8 year-old children in San Diego, California. Methods Average sports participation frequency (days/week) was assessed by validated parent-report at baseline (Nov 2006 to May 2008) and one year later in 541 children (45.0% male, 41.1% Latino; Mean±SD age: 6.6±0.7 yrs) taking part in an obesity prevention study (Project MOVE). Biological (sex, age, BMI z-score), socio-cultural (ethnicity, income, caregiver education), parental (PA rules, PA encouragement) and environmental factors (home PA equipment, PA location) were assessed at baseline. Associations between change in sports participation and potential predictors were studied using multi-level linear regression stratified by Latino ethnicity, adjusted for sex, baseline sport participation, study condition and recruitment area. Results Sports participation increased over one year (mean change: +0.5 days; p<0.001) and change was similar for boys and girls (p=0.95), but Latino children showed a greater increase (p=0.03). The number of locations used for PA (p=0.024) and the total frequency of PA location use (p=0.018) were positively associated with increased sports participation among Latinos. No predictors were identified for non-Latino children. Conclusions Only factors relating to PA location were identified as predictors of change in sports participation for Latino children. Interventions targeting specific PA behaviours such as sports participation may need to consider PA locations for Latino children and be tailored for specific ethnic groups. PMID:21903618

The cross-cultural variation of predictors of human papillomavirus vaccination intentions.

PubMed

Lechuga, Julia; Swain, Geoffrey R; Weinhardt, Lance S

2011-02-01

The influence of health beliefs on human papillomavirus (HPV) vaccine acceptability have been extensively documented in past research. However, studies documenting the generalizability of prior findings to culturally diverse participants are lacking. The importance of generalizability studies is underscored by the immense disparities in cervical cancer rates across ethnicities. Moreover, theory in cultural psychology suggests that beliefs derived from personal expectations may not be the strongest predictors of intentions in individuals socialized in collectivist cultures. The purpose of this research was to investigate the strongest predictors of mothers' intentions to vaccinate their daughters across three cultural groups: Hispanic, non-Hispanic white, and African American. One hundred fifty mothers were recruited from Public Health Department clinics in Milwaukee, Wisconsin. Mothers were asked to answer measures that assessed personal and normative predictors of intentions. Results indicated that predictors of vaccination intentions varied cross-culturally. Specifically, culture moderated the influence of norms on intentions. Interventions designed for Hispanics may be more effective if norms, rather than attitudes, are targeted.

Work-place predictors of duration of breastfeeding among female physicians.

PubMed

Sattari, Maryam; Serwint, Janet R; Neal, Dan; Chen, Si; Levine, David M

2013-12-01

To identify work-related predictors of breastfeeding duration among female physicians. Data on 238 children were obtained from 50 female physicians, whose main affiliation was with Johns Hopkins University (Baltimore, MD), and 80 female physicians, whose main affiliation was with the University of Florida (Gainesville, FL). We used a mixed linear model to determine which variables were significant predictors of breastfeeding duration when controlling for maternal demographics and taking into account the clustering of observations on study location and mothers. Although female physicians intended to breastfeed 56% of the infants for at least 12 months and 97% of infants were breastfed at birth, only 34% of infants continued to receive breast milk at 12 months. Duration of lactation among female physicians correlated with the following work-related factors: (1) not having to make up missed call/work that occurred as result of pregnancy or maternity leave; (2) longer length of maternity leave; (3) sufficiency of time at work for milk expression; and (4) perceived level of support for breastfeeding efforts at work from colleagues, program director, or division/section chiefs. Our findings support the importance of work-related factors in breastfeeding maintenance among female physicians and suggest that a tailored intervention, providing time and institutional encouragement, might result in significant improvement in their breastfeeding duration. Copyright © 2013 Mosby, Inc. All rights reserved.

Barcode Identifiers as a Practical Tool for Reliable Species Assignment of Medically Important Black Yeast Species

PubMed Central

Heinrichs, Guido; de Hoog, G. Sybren

2012-01-01

Herpotrichiellaceous black yeasts and relatives comprise severe pathogens flanked by nonpathogenic environmental siblings. Reliable identification by conventional methods is notoriously difficult. Molecular identification is hampered by the sequence variability in the internal transcribed spacer (ITS) domain caused by difficult-to-sequence homopolymeric regions and by poor taxonomic attribution of sequences deposited in GenBank. Here, we present a potential solution using short barcode identifiers (27 to 50 bp) based on ITS2 ribosomal DNA (rDNA), which allows unambiguous definition of species-specific fragments. Starting from proven sequences of ex-type and authentic strains, we were able to describe 103 identifiers. Multiple BLAST searches of these proposed barcode identifiers in GenBank revealed uniqueness for 100 taxonomic entities, whereas the three remaining identifiers each matched with two entities, but the species of these identifiers could easily be discriminated by differences in the remaining ITS regions. Using the proposed barcode identifiers, a 4.1-fold increase of 100% matches in GenBank was achieved in comparison to the classical approach using the complete ITS sequences. The proposed barcode identifiers will be made accessible for the diagnostic laboratory in a permanently updated online database, thereby providing a highly practical, reliable, and cost-effective tool for identification of clinically important black yeasts and relatives. PMID:22785187

Predictors of Genital Pain in Young Women

PubMed Central

Farmer, Melissa A.; Meston, Cindy M.

2010-01-01

Despite the high prevalence of genital pain in healthy young adult women, limited research has addressed genital pain during intercourse using contemporary models of multidimensional sexual function. The objectives of this study were threefold: (1) to identify differences in sexual functioning in women who experience genital pain compared to pain free women; (2) to identify predictors of sexual functioning in women with and without genital pain; and (3) to identify predictors of sexual satisfaction in women with and without genital pain. Sexually active female undergraduates (n = 651) were administered the Female Sexual Function Index and the Derogatis Sexual Functioning Inventory. We evaluated the sexual factors that impact the sexual function of women with any pain (including high and low pain groups) versus women with no history of pain. Women with genital pain reported greater rates of sexual dysfunction as compared to pain-free women; however, sexual functioning in the high versus low pain groups was distinguished primarily by vaginal lubrication. Women in the high pain group showed negative correlations between domains of sexual satisfaction and genital pain frequency and intensity that were not found in the low pain group. For pain-free women, intercourse played a strong role in sexual satisfaction, whereas non-intercourse sexual behavior was central to sexual satisfaction in women who reported pain. The evaluation of levels of genital pain may provide insight into the mechanisms underlying the impairment of sexual function, sexual behavior, and sexual satisfaction. PMID:17674182

Identifying 1st instar larvae for three forensically important blowfly species using "fingerprint" cuticular hydrocarbon analysis.

PubMed

Moore, Hannah E; Adam, Craig D; Drijfhout, Falko P

2014-07-01

Calliphoridae are known to be the most forensically important insects when it comes to establishing the minimum post mortem interval (PMImin) in criminal investigations. The first step in calculating the PMImin is to identify the larvae present to species level. Accurate identification which is conventionally carried out by morphological analysis is crucial because different insects have different life stage timings. Rapid identification in the immature larvae stages would drastically cut time in criminal investigations as it would eliminate the need to rear larvae to adult flies to determine the species. Cuticular hydrocarbon analysis on 1st instar larvae has been applied to three forensically important blowflies; Lucilia sericata, Calliphora vicina and Calliphora vomitoria, using gas chromatography-mass spectrometry (GC-MS) and principal component analysis (PCA). The results show that each species holds a distinct "fingerprint" hydrocarbon profile, allowing for accurate identification to be established in 1-day old larvae, when it can be challenging to apply morphological criteria. Consequently, this GC-MS based technique could accelerate and strengthen the identification process, not only for forensically important species, but also for other entomological samples which are hard to identify using morphological features. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Predictors of Serum Chlorinated Pesticide Concentrations among Prepubertal Russian Boys

PubMed Central

Williams, Paige L.; Burns, Jane S.; Sergeyev, Oleg; Korrick, Susan A.; Lee, Mary M.; Birnbaum, Linda S.; Revich, Boris; Altshul, Larisa M.; Patterson, Donald G.; Turner, Wayman E.; Hauser, Russ

2013-01-01

Background: Few studies have evaluated predictors of childhood exposure to organochlorine pesticides (OCPs), a class of lipophilic persistent chemicals. Objectives: Our goal was to identify predictors of serum OCP concentrations—hexachlorobenzene (HCB), β-hexachlorocyclohexane (β-HCH), and p,p-dichlorodiphenyldichloroethylene (p,p´-DDE)—among boys in Chapaevsk, Russia. Methods: Between 2003 and 2005, 499 boys 8–9 years of age were recruited in a prospective cohort. The initial study visit included a physical examination; blood collection; health, lifestyle, and food-frequency questionnaires; and determination of residential distance from a local factory complex that produced HCB and β-HCH. Fasting serum samples were analyzed for OCPs at the U.S. Centers for Disease Control and Prevention. General linear regression models were used to identify predictors of the boys’ serum HCB, β-HCH, and p,p´-DDE concentrations. Results: Among 355 boys with OCP measurements, median serum HCB, β-HCH, and p,p´-DDE concentrations were 158, 167, and 284 ng/g lipid, respectively. Lower body mass index, longer breastfeeding duration, and local dairy consumption were associated with higher concentrations of OCPs. Boys who lived < 2 km from the factory complex had 64% (95% CI: 37, 96) and 57% (95% CI: 32, 87) higher mean HCB and β-HCH concentrations, respectively, than boys who lived ≥ 5 km away. Living > 3 years in Chapaevsk predicted higher β-HCH concentrations, and having parents who lacked a high school education predicted higher p,p´-DDE concentrations. Conclusions: Among this cohort of prepubertal Russian boys, predictors of serum OCPs included consumption of local dairy products, longer local residence, and residential proximity to the local factory complex. Citation: Lam T, Williams PL, Burns JS, Sergeyev O, Korrick SA, Lee MM, Birnbaum LS, Revich B, Altshul LM, Patterson DG Jr, Turner WE, Hauser R. 2013. Predictors of serum chlorinated pesticide concentrations

Predictors of chronic pulmonary vein reconnections after contact force-guided ablation: importance of completing electrical isolation with circumferential lines and creating sufficient ablation lesion densities.

PubMed

Nakamura, Kohki; Naito, Shigeto; Sasaki, Takehito; Minami, Kentaro; Take, Yutaka; Shimizu, Satoru; Yamaguchi, Yoshiaki; Yano, Toshiaki; Senga, Michiharu; Yamashita, Eiji; Sugai, Yoshinao; Kumagai, Koji; Funabashi, Nobusada; Oshima, Shigeru

2016-12-01

We aimed to identify the predictors of chronic pulmonary vein reconnections (CPVRs) after contact force (CF)-guided circumferential PV isolation (CPVI) of atrial fibrillation (AF). Forty-nine consecutive patients undergoing second ablation procedures for recurrent AF after CF-guided ablation were retrospectively studied. The CPVI was performed by point-by-point ablation with a target CF of 15-20 g. The incidence of CPVRs was evaluated along the right- and left-sided anterior and posterior CPVI regions (Ant-RPVs, Post-RPVs, Ant-LPVs, and Post-LPVs). CPVRs were observed in 30.6, 22.4, 20.4, and 32.7 % of patients along the Ant-RPVs, Post-RPVs, Ant-LPVs, and Post-LPVs, respectively (P = 0.436). In the multivariate logistic analyses, completing a left atrium-PV conduction block with touch-up ablation inside the initially estimated CPVI lines (Ant-RPVs, Post-RPVs, Ant-LPVs, Post-LPVs; odds ratio [OR] 5.747, 15.000, 207.619, 7.940; P = 0.032, 0.004, 0.034, 0.021) and region length (Post-LPVs; OR 3.183, P = 0.027) were positive predictors of CPVRs, while the mean CF (Ant-RPVs; OR 0.861, P = 0.045) and number of radiofrequency applications per unit length (Ant-LPVs, Post-LPVs; OR 0.038, 0.122; P = 0.034, 0.029) were negative predictors. At optimal cutoffs of 5.8 cm for the region length, 14.2 g for the mean CF, and 1.97/cm (Ant-LPVs) and 2.01/cm (Post-LPVs) for the radiofrequency application density, the sensitivity and specificity were 93.8 and 63.6 %, 60.0 and 76.5 %, 90.0 and 64.1 %, and 75.0 and 63.6 %, respectively. Completing PVI with circumferential lines without touch-up ablation and creating a sufficient density of radiofrequency ablation lesions on the lines with a sufficient CF may be necessary to prevent CPVRs after a CF-guided CPVI.

Risk and protective factors as predictors of outcome in adolescents with psychiatric disorder and aggression.

PubMed

Vance, J Eric; Bowen, Natasha K; Fernandez, Gustavo; Thompson, Shealy

2002-01-01

To identify predictors of behavioral outcomes in high-risk adolescents with aggression and serious emotional disturbance (SED). Three hundred thirty-seven adolescents from a statewide North Carolina treatment program for aggressive youths with SED were followed between July 1995 and June 1999 from program entry (T1) to approximately 1 year later (T2). Historical and current psychosocial risk and protective factors as well as psychiatric symptom severity at T1 were tested as predictors of high and low behavioral functioning at T2. Behavioral functioning was a composite based on the frequency of risk-taking, self-injurious, threatening, and assaultive behavior. Eleven risk and protective factors were predictive of T2 behavioral functioning, while none of the measured T1 psychiatric symptoms was predictive. A history of aggression and negative parent-child relationships in childhood was predictive of worse T2 behavior, as was lower IQ. Better T2 behavioral outcomes were predicted by a history of consistent parental employment and positive parent-child relations, higher levels of current family support, contact with prosocial peers, higher reading level, good problem-solving abilities, and superior interpersonal skills. Among high-risk adolescents with aggression and SED, psychiatric symptom severity may be a less important predictor of behavioral outcomes than certain risk and protective factors. Several factors predictive of good behavioral functioning represent feasible intervention targets.

Report: EPA Can Better Reduce Risks From Illegal Pesticides by Effectively Identifying Imports for Inspection and Sampling

EPA Pesticide Factsheets

Report #17-P-0412, September 28, 2017. Low rates of inspections and sampling can create a risk that the EPA may not be identifying and deterring the import of pesticides harmful to people or the environment.

Clinical predictors of vestibulo-ocular dysfunction in pediatric sports-related concussion.

PubMed

Ellis, Michael J; Cordingley, Dean M; Vis, Sara; Reimer, Karen M; Leiter, Jeff; Russell, Kelly

2017-01-01

patients with acute SRC included the presence of VOD at initial consultation, preinjury history of depression, and posttraumatic amnesia at the time of injury. CONCLUSIONS This study identified important potential risk factors for the development of VOD following pediatric SRC. These results provide confirmatory evidence that VOD at initial consultation is associated with prolonged recovery and is an independent predictor for the development of PCS. Future studies examining clinical prediction rules in pediatric concussion should include VOD. Additional research is needed to elucidate the natural history of VOD following SRC and establish evidence-based indications for targeted vestibular rehabilitation.

Attitudes, Values and Moral Reasoning as Predictors of Delinquency

ERIC Educational Resources Information Center

Tarry, Hammond; Emler, Nicholas

2007-01-01

Attitudes to institutional authority, strength of support for moral values and maturity of socio-moral reasoning have all been identified as potential predictors of adolescent delinquency. In a sample of 12-15-year-old boys (N = 789), after checking for effects of age, IQ, social background and ethnicity, self-reported delinquency was…

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.…

Health e-mavens: identifying active online health information users.

PubMed

Sun, Ye; Liu, Miao; Krakow, Melinda

2016-10-01

Given the rapid increase of Internet use for effective health communication, it is important for health practitioners to be able to identify and mobilize active users of online health information across various web-based health intervention programmes. We propose the concept 'health e-mavens' to characterize individuals actively engaged in online health information seeking and sharing activities. This study aimed to address three goals: (i) to test the factor structure of health e-mavenism, (ii) to assess the reliability and validity of this construct and (iii) to determine what predictors are associated with health e-mavenism. This study was a secondary analysis of nationally representative data from the 2010 Health Tracking Survey. We assessed the factor structure of health e-mavenism using confirmatory factor analysis and examined socio-demographic variables, health-related factors and use of technology as potential predictors of health e-mavenism through ordered regression analysis. Confirmatory factor analyses showed that a second-order two-factor structure best captured the health e-maven construct. Health e-mavenism comprised two second-order factors, each encompassing two first-order dimensions: information acquisition (consisting of information tracking and consulting) and information transmission (consisting of information posting and sharing). Both first-order and second-order factors exhibited good reliabilities. Several factors were found to be significant predictors of health e-mavenism. This study offers a starting point for further inquiries about health e-mavens. It is a fruitful construct for health promotion research in the age of new media technologies. We conclude with specific recommendations to further develop the health e-maven concept through continued empirical research. © 2015 The Authors. Health Expectations. Published by John Wiley & Sons Ltd.

Parathyroid Hormone as a Predictor of Post-Thyroidectomy Hipocalcemia: A Prospective Evaluation of 100 Patients.

PubMed

Melo, Fernando; Bernardes, António; Velez, Ana; Campos de Melo, Catarina; de Oliveira, Fernando José

2015-01-01

Hypocalcemia is a frequent complication after total thyroidectomy and the main reason for prolonged hospitalization of these patients. We studied prospectively 112 patients who underwent total or completation thyroidectomy between June 2012 and November 2013. Twelve patients with preoperative changes in parathyroid function were excluded. Parathyroid hormone and calcium levels were determined pre-operatively, immediately after surgery, on 1st day and on 14th day after surgery. Of the 100 patients enrolled, 60 have developed hypocalcaemia (60%) but only 14 patients had symptomatic hypocalcaemia. It mostly occurs 24 hours after surgery (76.7%). It was permanent in 3 patients and temporary in the others. In the 60 patients with hypocalcaemia, it has been found hypoparathyroidism in 19 patients immediately after surgery, in 14 patients on 1st day but only 3 had hypoparathyroidism (patients with permanent hypocalcaemia). Comparing the group of patients with and without hypocalcaemia we found a decrease of parathyroid hormone in both (immediately after surgery and on 1st day) but was more important in the hypocalcaemia group (p = 0.004 and p < 0.001). The decrease of PTH levels was more pronounced in the hypocalcaemia group, with significance on the first day (22.29% vs 50.29%, p < 0.001). The best predictor of hypocalcaemia identified was the decrease of parathyroid hormone levels > 19.4% determined on the 1st day (sensitivity = 82%; specificity = 63%). In our study there was a high incidence of hypocalcemia (60%), expressed predominantly 24 hours after surgery and conditioned, in these patients, a longer hospital stay. However, only 3 patients (3%) had permanent hypocalcemia. We still found a match in the oscillation of serum calcium levels and parathyroid hormone which identified the decrease in parathyroid hormone on the first day after surgery as a reliable predictor of hypocalcemia. Decrease of parathyroid hormone levels > 19.4% determined on 1st day is a good

Patterns and predictors of conversion to bipolar disorder in 91 587 individuals diagnosed with unipolar depression.

PubMed

Musliner, K L; Østergaard, S D

2018-05-01

Conversion from unipolar depression (UD) to bipolar disorder (BD) is a clinically important event that should lead to treatment modifications. Unfortunately, recognition of this transition is often delayed. Therefore, the objective of this study was to identify predictors of diagnostic conversion from UD to BD. Historical prospective cohort study based on 91 587 individuals diagnosed with UD in Danish hospital psychiatry between 1995 and 2016. The association between a series of potential predictors and the conversion from UD to BD during follow-up (702 710 person-years) was estimated by means of Cox regression with death as competing risk. During follow-up, 3910 individuals with UD developed BD. The cumulative incidence of conversion was slightly higher in females (8.7%, 95% CI: 8.2-9.3) compared to males (7.7%, 95% CI: 7.0-8.4). The strongest predictor of conversion from UD to BD was parental history of BD (adjusted hazard ratio (aHR) = 2.60, 95% CI: 2.20-3.07)). Other predictors included psychotic depression at the index UD episode (aHR = 1.73, 95% CI: 1.48-2.02), a prior/concomitant non-affective psychosis (aHR = 1.73, 95% CI: 1.51-1.99), and in-patient treatment at the index episode (aHR = 1.76, 95% CI: 1.63-1.91). Diagnostic conversion from UD to BD is predicted by severe depression requiring in-patient treatment, psychotic symptomatology, and parental history of BD. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Adolescent Gambling: A Narrative Review of Behavior and Its Predictors

ERIC Educational Resources Information Center

Ariyabuddhiphongs, Vanchai

2013-01-01

This narrative review summarizes current knowledge on adolescent gambling for the period 1990-2010, assesses adolescent gambling behavior and person and environment predictors, and suggests directions for future research. The review includes 99 studies that identified their subjects as adolescents, children, youth, and students, and discusses…

Child-Level Predictors of Responsiveness to Evidence-Based Mathematics Intervention

ERIC Educational Resources Information Center

Powell, Sarah R.; Cirino, Paul T.; Malone, Amelia S.

2017-01-01

We identified child-level predictors of responsiveness to 2 types of mathematics intervention (calculation and word problem) among second-grade children with mathematics difficulty. Participants were 250 children in 107 classrooms in 23 schools pretested on mathematics and general cognitive measures and posttested on mathematics measures. We…

Early Pregnancy Biochemical Predictors of Gestational Diabetes Mellitus.

PubMed

Powe, Camille E

2017-02-01

Universal oral glucose tolerance-based screening is employed to identify pregnant women with gestational diabetes mellitus (GDM), as treatment of this condition decreases the risk of associated complications. A simple and accurate blood test which identifies women at low or high risk for GDM in the first trimester would have the potential to decrease costs and improve outcomes through prevention or treatment. This review summarizes published data on early pregnancy biomarkers which have been tested as predictors of GDM. A large number of first-trimester biochemical predictors of GDM have been reported, mostly in small case-control studies. These include glycemic markers (fasting glucose, post-load glucose, hemoglobin A1C), inflammatory markers (C-reactive protein, tumor necrosis factor-alpha), insulin resistance markers (fasting insulin, sex hormone-binding globulin), adipocyte-derived markers (adiponectin, leptin), placenta-derived markers (follistatin-like-3, placental growth factor, placental exosomes), and others (e.g., glycosylated fibronectin, soluble (pro)renin receptor, alanine aminotransferase, ferritin). A few large studies suggest that first-trimester fasting glucose or hemoglobin A1C may be useful for identifying women who would benefit from early GDM treatment. To translate the findings from observational studies of first-trimester biomarkers for GDM to clinical practice, trials or cost-effectiveness analyses of screening and treatment strategies based on these novel biomarkers are needed.

Predictors of recurrence in pheochromocytoma.

PubMed

Press, Danielle; Akyuz, Muhammet; Dural, Cem; Aliyev, Shamil; Monteiro, Rosebel; Mino, Jeff; Mitchell, Jamie; Hamrahian, Amir; Siperstein, Allan; Berber, Eren

2014-12-01

The recurrence rate of pheochromocytoma after adrenalectomy is 6.5-16.5%. This study aims to identify predictors of recurrence and optimal biochemical testing and imaging for detecting the recurrence of pheochromocytoma. In this retrospective study we reviewed all patients who underwent adrenalectomy for pheochromocytoma during a 14-year period at a single institution. One hundred thirty-five patients had adrenalectomy for pheochromocytoma. Eight patients (6%) developed recurrent disease. The median time from initial operation to diagnosis of recurrence was 35 months. On multivariate analysis, tumor size >5 cm was an independent predictor of recurrence. One patient with recurrence died, 4 had stable disease, 2 had progression of disease, and 1 was cured. Recurrence was diagnosed by increases in plasma and/or urinary metanephrines and positive imaging in 6 patients (75%), and by positive imaging and normal biochemical levels in 2 patients (25%). Patients with large tumors (>5 cm) should be followed vigilantly for recurrence. Because 25% of patients with recurrence had normal biochemical levels, we recommend routine imaging and testing of plasma or urinary metanephrines for prompt diagnosis of recurrence. Copyright © 2014 Elsevier Inc. All rights reserved.

Predictors of Exceptional Longevity: Effects of Early-Life Childhood Conditions, Midlife Environment and Parental Characteristics.

PubMed

Gavrilov, Leonid A; Gavrilova, Natalia S

Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-91 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found that parental longevity and some midlife characteristics proved to be significant predictors of longevity while the role of childhood conditions was less important. More centenarians were born in the second half of the year compared to controls, suggesting early origins of longevity. We found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are the farmer occupation at age 40, Northeastern region of birth in the United States and birth in the second half of year. A gender-specific predictor of female longevity is surprisingly the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-95. We found that male gender of centenarian has significant positive effect on survival of adult male relatives

Predictors of Exceptional Longevity: Effects of Early-Life Childhood Conditions, Midlife Environment and Parental Characteristics

PubMed Central

Gavrilov, Leonid A.; Gavrilova, Natalia S.

2014-01-01

Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890–91 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found that parental longevity and some midlife characteristics proved to be significant predictors of longevity while the role of childhood conditions was less important. More centenarians were born in the second half of the year compared to controls, suggesting early origins of longevity. We found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are the farmer occupation at age 40, Northeastern region of birth in the United States and birth in the second half of year. A gender-specific predictor of female longevity is surprisingly the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880–95. We found that male gender of centenarian has significant positive effect on survival of adult male relatives

Predictors of Radiation Therapy Noncompliance in an Urban Academic Cancer Center

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

Ohri, Nitin; Rapkin, Bruce D.; Guha, Debayan

Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed “noncompliant.” An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total ofmore » 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed “noncompliant.” On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.« less

Predictors of patient entry into alcohol treatment after initial diagnosis.

PubMed

Kirchner, J E; Booth, B M; Owen, R R; Lancaster, A E; Smith, G R

2000-08-01

To improve the quality of care for alcohol-related disorders, key transitions in the continuum of care, including treatment entry, must be fully understood. The purpose of this study was to investigate identifiable predictors of patient entry into a substance-use treatment program following the initial diagnosis of an alcohol-related disorder on a medical or surgical inpatient unit. An administrative computerized database was used to identify the sample for this study. Inpatient and outpatient records were obtained from the Little Rock VAMC/DHCP. Predictors of patient entry into treatment within six months of the initial diagnosis of an alcohol related disorder included age younger than than 60 (odds ratio [OR] = 4.6), not married (OR = 1.7), primary diagnosis of an alcohol-related disorder (OR = 7.7), diagnosis of a comorbid drug (OR = 4.3) or psychiatric disorder (OR = 3.6), diagnosis by a medical as opposed to a surgical specialty (OR = 6.0), and African American (OR = 1.7).

Predictors of job satisfaction among academic family medicine faculty

PubMed Central

Krueger, Paul; White, David; Meaney, Christopher; Kwong, Jeffrey; Antao, Viola; Kim, Florence

2017-01-01

Abstract Objective To identify predictors of job satisfaction among academic family medicine faculty members. Design A comprehensive Web-based survey of all faculty members in an academic department of family medicine. Bivariate and multivariable analyses (logistic regression) were used to identify variables associated with job satisfaction. Setting The Department of Family and Community Medicine at the University of Toronto in Ontario and its 15 affiliated community teaching hospitals and community-based teaching practices. Participants All 1029 faculty members in the Department of Family and Community Medicine were invited to complete the survey. Main outcome measures Faculty members’ demographic and practice information; teaching, clinical, administration, and research activities; leadership roles; training needs and preferences; mentorship experiences; health status; stress levels; burnout levels; and job satisfaction. Faculty members’ perceptions about supports provided, recognition, communication, retention, workload, teamwork, respect, resource distribution, remuneration, and infrastructure support. Faculty members’ job satisfaction, which was the main outcome variable, was obtained from the question, “Overall, how satisfied are you with your job?” Results Of the 1029 faculty members, 687 (66.8%) responded to the survey. Bivariate analyses revealed 26 predictors as being statistically significantly associated with job satisfaction, including faculty members’ ratings of their local department and main practice setting, their ratings of leadership and mentorship experiences, health status variables, and demographic variables. The multivariable analyses identified the following 5 predictors of job satisfaction: the Maslach Burnout Inventory subscales of emotional exhaustion and personal accomplishment; being born in Canada; the overall quality of mentorship that was received being rated as very good or excellent; and teamwork being rated as very

Prenatal Sonographic Predictors of Neonatal Coarctation of the Aorta.

PubMed

Anuwutnavin, Sanitra; Satou, Gary; Chang, Ruey-Kang; DeVore, Greggory R; Abuel, Ashley; Sklansky, Mark

2016-11-01

To identify practical prenatal sonographic markers for the postnatal diagnosis of coarctation of the aorta. We reviewed the fetal echocardiograms and postnatal outcomes of fetal cases of suspected coarctation of the aorta seen at a single institution between 2010 and 2014. True- and false-positive cases were compared. Logistic regression analysis was used to determine echocardiographic predictors of coarctation of the aorta. Optimal cutoffs for these markers and a multivariable threshold scoring system were derived to discriminate fetuses with coarctation of the aorta from those without coarctation of the aorta. Among 35 patients with prenatal suspicion of coarctation of the aorta, the diagnosis was confirmed postnatally in 9 neonates (25.7% true-positive rate). Significant predictors identified from multivariate analysis were as follows: Z score for the ascending aorta diameter of -2 or less (P = < .001), Z score for the mitral valve annulus of -2 or less (P= .033), Zscore for the transverse aortic arch diameter of -2 or less (P= .028), and abnormal aortic valve morphologic features (P= .026). Among all variables studied, the ascending aortic Z score had the highest sensitivity (78%) and specificity (92%) for detection of coarctation of the aorta. A multivariable threshold scoring system identified fetuses with coarctation of the aorta with still greater sensitivity (89%) and only mildly decreased specificity (88%). The finding of a diminutive ascending aorta represents a powerful and practical prenatal predictor of neonatal coarctation of the aorta. A multivariable scoring system, including dimensions of the ascending and transverse aortas, mitral valve annulus, and morphologic features of the aortic valve, provides excellent sensitivity and specificity. The use of these practical sonographic markers may improve prenatal detection of coarctation of the aorta. © 2016 by the American Institute of Ultrasound in Medicine.

A Systematic Review of Predictors of, and Reasons for, Adherence to Online Psychological Interventions.

PubMed

Beatty, Lisa; Binnion, Claire

2016-12-01

A key issue regarding the provision of psychological therapy in a self-guided online format is low rates of adherence. The aim of this systematic review was to assess both quantitative and qualitative data on the predictors of adherence, as well as participant reported reasons for adhering or not adhering to online psychological interventions. Database searches of PsycINFO, Medline, and CINAHL identified 1721 potentially relevant articles published between 1 January 2000 and 25 November 2015. A further 34 potentially relevant articles were retrieved from reference lists. Articles that reported predictors of, or reasons for, adherence to an online psychological intervention were included. A total of 36 studies met the inclusion criteria. Predictors assessed included demographic, psychological, characteristics of presenting problem, and intervention/computer-related predictors. Evidence suggested that female gender, higher treatment expectancy, sufficient time, and personalized intervention content each predicted higher adherence. Age, baseline symptom severity, and control group allocation had mixed findings. The majority of assessed variables however, did not predict adherence. Few clear predictors of adherence emerged overall, and most results were either mixed or too preliminary to draw conclusions. More research of predictors associated with adherence to online interventions is warranted.

Clinical and Procedural Predictors of Outcomes From the Endovascular Treatment of Posterior Circulation Strokes.

PubMed

Mokin, Maxim; Sonig, Ashish; Sivakanthan, Sananthan; Ren, Zeguang; Elijovich, Lucas; Arthur, Adam; Goyal, Nitin; Kan, Peter; Duckworth, Edward; Veznedaroglu, Erol; Binning, Mandy J; Liebman, Kenneth M; Rao, Vikas; Turner, Raymond D; Turk, Aquilla S; Baxter, Blaise W; Dabus, Guilherme; Linfante, Italo; Snyder, Kenneth V; Levy, Elad I; Siddiqui, Adnan H

2016-03-01

Patients with posterior circulation strokes have been excluded from recent randomized endovascular stroke trials. We reviewed the recent multicenter experience with endovascular treatment of posterior circulation strokes to identify the clinical, radiographic, and procedural predictors of successful recanalization and good neurological outcomes. We performed a multicenter retrospective analysis of consecutive patients with posterior circulation strokes, who underwent thrombectomy with stent retrievers or primary aspiration thrombectomy (including A Direct Aspiration First Pass Technique [ADAPT] approach). We correlated clinical and radiographic outcomes with demographic, clinical, and technical characteristics. A total of 100 patients were included in the final analysis (mean age, 63.5±14.2 years; mean admission National Institutes of Health Stroke Scale score, 19.2±8.2). Favorable clinical outcome at 3 months (modified Rankin Scale score ≤2) was achieved in 35% of patients. Successful recanalization and shorter time from stroke onset to the start of the procedure were significant predictors of favorable clinical outcome at 90 days. Stent retriever and aspiration thrombectomy as primary treatment approaches showed comparable procedural and clinical outcomes. None of the baseline advanced imaging modalities (magnetic resonance imaging, computed tomographic perfusion, or computed tomography angiography assessment of collaterals) showed superiority in selecting patients for thrombectomy. Time to the start of the procedure is an important predictor of clinical success after thrombectomy in patients with posterior circulation strokes. Both stent retriever and aspiration thrombectomy as primary treatment approaches are effective in achieving successful recanalization. © 2016 American Heart Association, Inc.

Predictors of nonresponse in a questionnaire-based outcome study of vocational rehabilitation patients.

PubMed

Burrus, Cyrille; Ballabeni, Pierluigi; Deriaz, Olivier; Gobelet, Charles; Luthi, François

2009-09-01

To identify predictors of nonresponse to a self-report study of patients with orthopedic trauma hospitalized for vocational rehabilitation between November 15, 2003, and December 31, 2005. The role of biopsychosocial complexity, assessed using the INTERMED, was of particular interest. Cohort study. Questionnaires with quality of life, sociodemographic, and job-related questions were given to patients at hospitalization and 1 year after discharge. Sociodemographic data, biopsychosocial complexity, and presence of comorbidity were available at hospitalization (baseline) for all eligible patients. Logistic regression models were used to test a number of baseline variables as potential predictors of nonresponse to the questionnaires at each of the 2 time points. Rehabilitation clinic. Patients (N=990) hospitalized for vocational rehabilitation over a period of 2 years. Not applicable. Nonresponse to the questionnaires was the binary dependent variable. Patients with high biopsychosocial complexity, foreign native language, or low educational level were less likely to respond at both time points. Younger patients were less likely to respond at 1 year. Those living in a stable partnership were less likely than singles to respond at hospitalization. Sex, psychiatric, and somatic comorbidity and alcoholism were never associated with nonresponse. We stress the importance of assessing biopsychosocial complexity to predict nonresponse. Furthermore, the factors we found to be predictive of nonresponse are also known to influence treatment outcome and vocational rehabilitation. Therefore, it is important to increase the response rate of the groups of concern in order to reduce selection bias in epidemiologic investigations.

Predictors of institutionalization in patients with dementia in Korea.

PubMed

Kim, Jae-Min; Shin, Il-Seon; Jeong, Seong-Joo; Gormley, Niall; Yoon, Jin-Sang

2002-02-01

Many studies have sought to determine the predictors of institutionalization of patients with dementia. Such studies, performed in developed western societies, have come to various conclusions which may not be supported in an East Asian culture such as that found in Korea. This study aimed to determine the factors that predict institutionalization of patients in Korea diagnosed with dementia. Seventy-nine cases (37 institutionalized, 42 community-dwelling) in the Kwangju area were evaluated for patient characteristics, severity of dementia symptoms, caregiver characteristics, burden and distress. Logistic regression was performed to determine predictors of actual institutionalization. Six predictors of institutionalization were identified. Of these, three were patient-related factors: higher score on the Clinical Dementia Rating, higher score on the Brief Psychiatric Rating Scale, and shorter duration of dementia. The other three were caregiver-related factors: younger age, higher education (formal schooling), and higher cost of home care. As seen in previous western studies, institutionalization of dementia sufferers was influenced by both patient and caregiver factors. But, the specific predictors and their relative influences might be explained best by the particular social, cultural and economic situation in Korea. This study was the first of its kind in Korea and, as such, could serve as a reference for future intra-cultural and cross-cultural comparisons. Copyright 2002 John Wiley & Sons, Ltd.

Using the Developmental Gene Bicoid to Identify Species of Forensically Important Blowflies (Diptera: Calliphoridae)

PubMed Central

Park, Seong Hwan; Park, Chung Hyun; Zhang, Yong; Piao, Huguo; Chung, Ukhee; Kim, Seong Yoon; Ko, Kwang Soo; Yi, Cheong-Ho; Jo, Tae-Ho; Hwang, Juck-Joon

2013-01-01

Identifying species of insects used to estimate postmortem interval (PMI) is a major subject in forensic entomology. Because forensic insect specimens are morphologically uniform and are obtained at various developmental stages, DNA markers are greatly needed. To develop new autosomal DNA markers to identify species, partial genomic sequences of the bicoid (bcd) genes, containing the homeobox and its flanking sequences, from 12 blowfly species (Aldrichina grahami, Calliphora vicina, Calliphora lata, Triceratopyga calliphoroides, Chrysomya megacephala, Chrysomya pinguis, Phormia regina, Lucilia ampullacea, Lucilia caesar, Lucilia illustris, Hemipyrellia ligurriens and Lucilia sericata; Calliphoridae: Diptera) were determined and analyzed. This study first sequenced the ten blowfly species other than C. vicina and L. sericata. Based on the bcd sequences of these 12 blowfly species, a phylogenetic tree was constructed that discriminates the subfamilies of Calliphoridae (Luciliinae, Chrysomyinae, and Calliphorinae) and most blowfly species. Even partial genomic sequences of about 500 bp can distinguish most blowfly species. The short intron 2 and coding sequences downstream of the bcd homeobox in exon 3 could be utilized to develop DNA markers for forensic applications. These gene sequences are important in the evolution of insect developmental biology and are potentially useful for identifying insect species in forensic science. PMID:23586044

Predictors of Wellness and American Indians

PubMed Central

Hodge, Felicia S.; Nandy, Karabi

2012-01-01

Wellness is an important American Indian (AI) concept, understood as being in balance with one’s body, mind, and environment. Wellness predictors are reported in this paper within the context of health. A cross-sectional randomized household survey of 457 AI adults at 13 rural health care sites in California was conducted. Measures included wellness perceptions, barriers, health status/health conditions, spirituality, cultural connectivity, high-risk behaviors and abuse history. Statistical analysis obtained the best predictive model for wellness. Predictors of wellness were general health status perception, participation in AI cultural practices and suicide ideation. Significant differences in wellness status were observed depending on experience of adverse events in childhood and adulthood (neglect, physical abuse, and sexual abuse). Cultural connectivity (speaking tribal language, participating in AI practices, and feeling connected to community) was also associated with perceptions of wellness. Recommendations are for culturally-appropriate education and interventions emphasizing community and cultural connectivity for improving wellness status. PMID:21841279

Predictors of discontinuing exclusive breastfeeding before six months among mothers in Kinshasa: a prospective study.

PubMed

Babakazo, Pélagie; Donnen, Philippe; Akilimali, Pierre; Ali, Nathalis Mapatano Mala; Okitolonda, Emile

2015-01-01

Although breastfeeding is common in Democratic Republic of the Congo, the proportion of women who exclusively breastfeed their babies up to 6 months remains low. This study aimed at identifying predictors of discontinuing exclusive breastfeeding before six months among mothers in Kinshasa. A prospective study was carried out from October 2012 to July 2013 among 422 mother-child pairs recruited shortly after discharge from twelve maternities in Kinshasa and followed up to six months. Interviews were conducted at each woman's house during the first week after birth, and at one, two, three, four, five and six months. Collected data included history of child's feeding and mother's socio-demographic and psychosocial characteristics. The Cox Proportional Model was used to identify predictors of discontinuing exclusive breastfeeding before six months. The median duration of exclusive breastfeeding was 10.9 weeks (Inter Quartile Range 4.3 to 14.9). At six months, 2.8 % of infants were exclusively breastfed. The factors independently associated with the discontinuation of exclusive breastfeeding before six months were: not confident in the ability to breastfeed [Adjusted hazard ratio (AHR) = 3.90; 95 % CI 1.66, 9.16)], no plan on the duration of EBF (AHR = 2.86; 95 % CI 1.91, 4.28), breastfeeding problems during the first week (AHR = 1.54; 95 % CI 1.13, 2.11), low level of breastfeeding knowledge (AHR = 1.52; 95 % CI 1.08, 2.15), and experienced less than five Baby-friendly practices during the maternity stay (AHR = 1.47; 95 % CI 1.05, 2.06). Confidence in the ability to breastfeed and intention to exclusively breastfeed were the most important predictors of discontinuing exclusive breastfeeding before six months. To have a greater impact on the duration of exclusive breastfeeding, interventions should focus on these factors.

American Bird conservancy's approach to the U.S. Important Bird Area Program - identifying the top 500 global sites

Treesearch

Robert M. Chipley

2005-01-01

The idea for the Important Bird Area Program originated in a series of studies in the early 1980s conducted by BirdLife International. Recognizing that these studies could become a powerful tool for conservation, BirdLife International began an effort to identify and gather data regarding the most important areas for birds in Europe and to make this information...

Predictors of Adolescent Breakfast Consumption: Longitudinal Findings from Project EAT

ERIC Educational Resources Information Center

Bruening, Meg; Larson, Nicole; Story, Mary; Neumark-Sztainer, Dianne; Hannan, Peter

2011-01-01

Objective: To identify predictors of breakfast consumption among adolescents. Methods: Five-year longitudinal study Project EAT (Eating Among Teens). Baseline surveys were completed in Minneapolis-St. Paul schools and by mail at follow-up by youth (n = 800) transitioning from middle to high school. Linear regression models examined associations…

Volume of larvae Is the most important single predictor of mass temperatures in the forensically important Calliphorid, Chrysomya megacephala (Diptera: Calliphoridae)

USGS Publications Warehouse

Gruner, S. V.; Slone, D.H.; Capinera, J.L.; Turco, M. P.

2017-01-01

Calliphorid species form larval aggregations that are capable of generating heat above ambient temperature. We wanted to determine the relationship between volume, number of larvae, and different combinations of instars on larval mass heat generation. We compared different numbers of Chrysomya megacephala (F.) larvae (40, 100, 250, 600, and 2,000), and different combinations of instars (∼50/50 first and second instars, 100% second instars, ∼50/50 second and third instars, and 100% third instars) at two different ambient temperatures (20 and 30 °C). We compared 13 candidate multiple regression models that were fitted to the data; the models were then scored and ranked with Akaike information criterion and Bayesian information criterion. The results indicate that although instar, age, treatment temperature, elapsed time, and number of larvae in a mass were significant, larval volume was the best predictor of larval mass temperatures. The volume of a larval mass may need to be taken into consideration for determination of a postmortem interval.

Acute kidney injury in acute coronary syndromes - An important multifactorial consequence.

PubMed

Neves, David; Belo, Adriana; Damásio, Ana Filipa; Carvalho, João; Santos, Ana Rita; Piçarra, Bruno; Aguiar, José

2016-01-01

Acute kidney injury (AKI) is a pathological phenomenon with a negative impact on outcomes in different clinical scenarios. Its mechanism in acute coronary syndrome (ACS) is not completely understood, and measures to prevent it are not uniform. We set out to study the incidence, clinical relevance, predictors and possible implications for patient management of AKI in ACS. Using data from a multicenter national registry on ACS, we retrospectively analyzed predictors of AKI and its impact on outcomes (in-hospital complications and one-year mortality). All ACS types were included. AKI was defined as an increase in serum creatinine of ≥0.3 mg/dl (≥26.4 μmol/l) and/or by ≥1.5 times baseline. A total of 7808 ACS patients were included in the analysis, 1369 (17.5%) of whom developed AKI. AKI was shown to be an independent predictor of in-hospital major bleeding (odds ratio [OR] 2.09; 95% confidence interval [CI] 1.19-3.64; p=0.01), mortality (OR 4.72; 95% CI 2.94-7.56; p<0.001) and one-year mortality (hazard ratio 2.01; 95% CI 1.51-2.68; p<0.001). The incidence of AKI was associated with older age, history of hypertension, renal failure and stroke/transient ischemic attack, Killip class >1 on admission and left ventricular ejection fraction <50%. Performance of coronary angiography or angioplasty were not associated with AKI. Diuretics during admission were predictors of AKI only in patients in Killip class 1. AKI is an important finding in ACS, with a significant impact on hard clinical endpoints such as in-hospital and one-year mortality. It is associated with easily identifiable clinical factors and an invasive strategy does not increase its incidence. Copyright © 2016 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.

Predictors of Organizational Commitment among Staff in Assisted Living

ERIC Educational Resources Information Center

Sikorska-Simmons, Elzbieta

2005-01-01

Purpose: This study examines the role of organizational culture, job satisfaction, and sociodemographic characteristics as predictors of organizational commitment among staff in assisted living. It is particularly important to examine organizational commitment, because of its close links to staff turnover. Design and Methods: Data were collected…

Predictors of functional disability in mild cognitive impairment and dementia.

PubMed

van Rossum, M E; Koek, H L

2016-08-01

Knowledge about factors predicting functional disability in mild cognitive impairment (MCI) and dementia would help health care providers to identify those patients who are at high risk of functional disability. Previous research is scarce and focused on only a small number of possible predictors. The aim of this study was to identify predictors of functional disability in patients with MCI and dementia. Cross-sectional cohort study. Data from patients who visited a memory clinic between 2011 and 2015 were evaluated. The Disability Assessment for Dementia (DAD) was used to assess functional disability. Patients diagnosed with MCI or dementia and with a DAD score available were included. This led to the inclusion of 474 patients. Univariate analyses with a broad range of variables were performed to detect factors that had a significant relationship to the DAD score. Age, gender and variables with a p-value of 0.1 or lower in the univariate analyses were taken into a multivariable analysis. This multiple linear regression analysis was performed to determine which variables were independently associated with the DAD score. Our multivariable model explained 42% of the variance in the DAD score. Independent predictors of the DAD score were age (B=0.03, 95%CI=0.002-0.05), gender (B=-0.43, 95%CI=-0.78 to -0.07), score on the Clinical Dementia Rating scale (CDR) (B=1.53, 95%CI=1.07-1.99 for CDR 1, B=2.93, 95%CI=2.28-3.58 for CDR 2, B=3.96, 95%CI=2.65-5.27 for CDR 3) and level of physical activity (B=0.56, 95%CI=0.05-1.07). Older age, male gender, higher CDR score and lower levels of physical activity are independent predictors of functional disability in MCI and dementia. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

[Predictors of Resilience in Adolescents with Leukemia].

PubMed

Hong, Sung Sil; Park, Ho Ran

2015-08-01

The purpose of this study was to identify the factors relating to resilience for adolescents with leukemia and examine the relationship between these factors. From June to September in 2014, 199 adolescents aged 11 to 21 participated in the study as they visited the out-patient clinic at C university hospital for follow-up care. To verify the predictors and the effects of resilience, uncertainty, symptom distress, perceived social support, spiritual perspective, defensive coping, courageous coping, hope, and self-transcendence were measured. Collected data were analyzed using hierarchical regression analysis with the SAS statistics program. The final regression model showed that courageous coping, hope, and self-transcendence were significant predictors related to resilience in adolescents with leukemia and explained for 63% of the variance in resilience. The findings indicate that adolescent-oriented intervention programs enhancing courageous coping, hope, and self-transcendence should be provide for adolescents with leukemia in order to overcome illness-related stress and support physical, psychological and social adjustment.

Predictors of mammography screening among ethnically diverse low-income women.

PubMed

Cronan, Terry A; Villalta, Ian; Gottfried, Emily; Vaden, Yavette; Ribas, Mabel; Conway, Terry L

2008-05-01

Breast cancer is the second leading cause of cancer deaths among women in the United States. Minority women are less likely to be screened and more likely to die from breast cancer than are Caucasian women. Although some studies have examined ethnic disparities in mammography screening, no study has examined whether there are ethnic disparities among low-income, ethnically diverse women. The present study was designed to determine whether there are ethnic disparities in mammography screening and predictors of screening among low-income African American, Mexican American, and Caucasian women, and to determine whether the disparities and predictors vary across ethnic groups. The participants were 146 low-income women who were Mexican American (32%), African American (31%), or Caucasian (37%). Statistical analyses were performed to assess the relationships between mammography screening during the past 2 years and potential predictors of screening, both within ethnic groups and for the combined sample. The results varied depending on whether analyses combined ethnic groups or were performed within each of the three ethnic groups. It is, therefore, important to examine within-group differences when examining ethnic disparities in predictors of mammography.

Donor Predictors of Allograft Utilization and Recipient Outcomes after Heart Transplantation

PubMed Central

Khush, Kiran K.; Menza, Rebecca; Nguyen, John; Zaroff, Jonathan G.; Goldstein, Benjamin A.

2013-01-01

Background Despite a national organ donor shortage and a growing population of patients with end-stage heart disease, the acceptance rate of donor hearts for transplantation is low. We sought to identify donor predictors of allograft non-utilization, and to determine whether these predictors are in fact associated with adverse recipient post-transplant outcomes. Methods and Results We studied a cohort of 1,872 potential organ donors managed by the California Transplant Donor Network from 2001–2008. Forty five percent of available allografts were accepted for heart transplantation. Donor predictors of allograft non-utilization included age>50 years, female sex, death due to cerebrovascular accident, hypertension, diabetes, a positive troponin assay, left ventricular dysfunction and regional wall motion abnormalities, and left ventricular hypertrophy. For hearts that were transplanted, only donor cause of death was associated with prolonged recipient hospitalization post-transplant, and only donor diabetes was predictive of increased recipient mortality. Conclusions While there are many donor predictors of allograft discard in the current era, these characteristics appear to have little effect on recipient outcomes when the hearts are transplanted. Our results suggest that more liberal use of cardiac allografts with relative contraindications may be warranted. PMID:23392789

Facebook Addiction: Onset Predictors.

PubMed

Biolcati, Roberta; Mancini, Giacomo; Pupi, Virginia; Mugheddu, Valeria

2018-05-23

Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed.

Prevalence and predictors of sunburn among beachgoers.

PubMed

de Troya-Martín, Magdalena; de Gálvez-Aranda, María Victoria; Rivas-Ruiz, Francisco; Blázquez-Sánchez, Nuria; Fernández-Morano, Maria Teresa; Padilla-España, Laura; Herrera-Ceballos, Enrique

2018-03-01

Painful sunburns at any age are one of the main risk factors for skin cancer. To determine the prevalence and predictors of sunburn among beachgoers. A cross-sectional health survey was conducted at the beach during the summer. Adults >18 years with an understanding of Spanish were interviewed using a questionnaire about behaviours, attitudes and knowledge related to sun exposure at the beach. A descriptive analysis was performed, and a log-binomial regression model was used to determine predictors of sunburn. The survey was completed by 1054 beachgoers, with a mean age of 43.8 (SD: 18.7) years, 61.2% women, skin phototypes i (13.6%), ii (22.3%), iii (34.0%) and iv (30.2%). 46.9% of responders reported at least one painful sunburn during the previous summer. Age, sex, education, skin phototype, midday sun exposure, sun protection habits, attitudes towards tanning and knowledge about skin cancer were identified as independent predictors of sunburn. It is necessary to develop photoprotection campaigns aimed at beachgoers, particularly in young people, men, those with skin phototypes I-III and secondary or university education. Educational strategies should be aimed at discouraging sun exposure at midday, changing attitudes towards tanning and improving knowledge about skin cancer. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The importance of preoperative oxygen saturation as a predictor of pulmonary arterial hypertension after surgery of atrial septal defects.

PubMed

Park, Han Ki; Shin, Hong Ju; Park, Young Hwan; Ma, Bo Gyoung

2016-09-01

There is no concrete predictor of the change of pulmonary arterial pressure after surgical closure of an atrial septal defect (ASD) in patients with pulmonary arterial hypertension (PAH). The aim of this study was to investigate the role of preoperative room air arterial oxygen saturation (SaO2) (arterial blood gas data) as a predictor of postoperative PAH. The medical records of 36 patients [>20 years, mean pulmonary arterial pressure (mPAP) ≥25 mmHg] who underwent surgical closure of an ASD between March 2004 and January 2014 were retrospectively reviewed. The median age was 47 years (range, 24.6-65.9 years) and mPAP was 38 ± 14 mmHg. The mean pulmonary vascular resistance (Rp) was 3.9 ± 4.2 Wood units, and fenestration was performed in 12 (33%) patients. Only 1 patient received anti-PAH medication preoperatively. The median follow-up period was 4 years (range, 0-10 years). There were two hospital deaths, one of which was related to PAH. At the last follow-up, PAH (estimated tricuspid regurgitation velocity >3 m/s) existed in 7 patients (19%), and 10 patients (28%) were receiving anti-PAH medications (considered as clinical PAH). Univariate analysis for persistent clinical PAH revealed that mPAP, Qp/Qs, Rp, room air arterial oxygen saturation and postoperative functional class were significant risk factors. Only SaO2 remained a significant risk factor in multivariate analysis (P = 0.03). Preoperative room air SaO2 is a useful predictor of persistent PAH in adult patients undergoing surgical closure of an ASD. © The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Predictors of Language Gains Among School-Age Children With Language Impairment in the Public Schools.

PubMed

Justice, Laura M; Jiang, Hui; Logan, Jessica A; Schmitt, Mary Beth

2017-06-10

This study aimed to identify child-level characteristics that predict gains in language skills for children with language impairment who were receiving therapy within the public schools. The therapy provided represented business-as-usual speech/language treatment provided by speech-language pathologists in the public schools. The sample included 272 kindergartners and first-graders with language impairment who participated in a larger study titled "Speech-Therapy Experiences in the Public Schools." Multilevel regression analyses were applied to examine the extent to which select child-level characteristics, including age, nonverbal cognition, memory, phonological awareness, vocabulary, behavior problems, and self-regulation, predicted children's language gains over an academic year. Pratt indices were computed to establish the relative importance of the predictors of interest. Phonological awareness and vocabulary skill related to greater gains in language skills, and together they accounted for nearly 70% of the explained variance, or 10% of total variance at child level. Externalizing behavior, nonverbal cognition, and age were also potentially important predictors of language gains. This study significantly advances our understanding of the characteristics of children that may contribute to their language gains while receiving therapy in the public schools. Researchers can explore how these characteristics may serve to moderate treatment outcomes, whereas clinicians can assess how these characteristics may factor into understanding treatment responses.

The Cross-Cultural Variation of Predictors of Human Papillomavirus Vaccination Intentions

PubMed Central

Swain, Geoffrey R.; Weinhardt, Lance S.

2011-01-01

Abstract Background The influence of health beliefs on human papillomavirus (HPV) vaccine acceptability have been extensively documented in past research. However, studies documenting the generalizability of prior findings to culturally diverse participants are lacking. The importance of generalizability studies is underscored by the immense disparities in cervical cancer rates across ethnicities. Moreover, theory in cultural psychology suggests that beliefs derived from personal expectations may not be the strongest predictors of intentions in individuals socialized in collectivist cultures. The purpose of this research was to investigate the strongest predictors of mothers' intentions to vaccinate their daughters across three cultural groups: Hispanic, non-Hispanic white, and African American. Methods One hundred fifty mothers were recruited from Public Health Department clinics in Milwaukee, Wisconsin. Mothers were asked to answer measures that assessed personal and normative predictors of intentions. Results Results indicated that predictors of vaccination intentions varied cross-culturally. Specifically, culture moderated the influence of norms on intentions. Conclusions Interventions designed for Hispanics may be more effective if norms, rather than attitudes, are targeted. PMID:21314448

Predictors of Exceptional Longevity: Effects of Early-Life and Midlife Conditions, and Familial Longevity.

PubMed

Gavrilov, Leonid A; Gavrilova, Natalia S

Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival

Predictors of Exceptional Longevity: Effects of Early-Life and Midlife Conditions, and Familial Longevity

PubMed Central

Gavrilov, Leonid A.; Gavrilova, Natalia S.

2015-01-01

Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890–1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880–1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival

Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder.

PubMed

Rong, Carola; Park, Caroline; Rosenblat, Joshua D; Subramaniapillai, Mehala; Zuckerman, Hannah; Fus, Dominika; Lee, Yena L; Pan, Zihang; Brietzke, Elisa; Mansur, Rodrigo B; Cha, Danielle S; Lui, Leanna M W; McIntyre, Roger S

2018-04-17

Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors , and response and/or remission . Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors. A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information.

Prevalence and predictors of mental disorders in intentionally and unintentionally injured emergency centre patients

PubMed Central

van der Westhuizen, Claire; Wyatt, Gail; Williams, John K.; Stein, Dan J.; Sorsdahl, Katherine

2014-01-01

Little is known about the prevalence and predictors of mental disorders amongst injured emergency centre (EC) patients in low- and middle-income countries. Patients presenting with either an intentional or unintentional injury were recruited (n=200). Mental health, injury and psychological trauma histories were assessed. Descriptive statistics and logistic regressions were conducted and predictors for current mental disorder were identified. Diagnostic criteria for a current mental disorder, including substance use disorders, were met by 59.5% of participants. Compared to those with an unintentional injury, intentionally injured participants were more likely to be diagnosed with a current mental disorder (66.9% vs 48.8%; p=0.01). High frequencies of previous intentional injuries predicted for current mental disorder (OR = 1.460, 95% CI 1.08-1.98), while male gender and witnessed community violence predicted substance use disorder diagnoses. Findings indicate that injured EC patients, particularly those with intentional injuries, are at risk for mental disorders. Psychosocial interventions in the EC context can potentially make an important contribution in reducing the burden of mental disorders and injuries in low- and middle-income countries. PMID:25126754

Prevalence, predictors, and clinical consequences of medical adherence in IBD: How to improve it?

PubMed Central

Lakatos, Peter Laszlo

2009-01-01

Inflammatory bowel diseases (IBD) are chronic diseases with a relapsing-remitting disease course necessitating lifelong treatment. However, non-adherence has been reported in over 40% of patients, especially those in remission taking maintenance therapies for IBD. The economical impact of non-adherence to medical therapy including absenteeism, hospitalization risk, and the health care costs in chronic conditions, is enormous. The causes of medication non-adherence are complex, where the patient-doctor relationship, treatment regimen, and other disease-related factors play key roles. Moreover, subjective assessment might underestimate adherence. Poor adherence may result in more frequent relapses, a disabling disease course, in ulcerative colitis, and an increased risk for colorectal cancer. Improving medication adherence in patients is an important challenge for physicians. Understanding the different patient types, the reasons given by patients for non-adherence, simpler and more convenient dosage regimens, dynamic communication within the health care team, a self-management package incorporating enhanced patient education and physician-patient interaction, and identifying the predictors of non-adherence will help devise suitable plans to optimize patient adherence. This editorial summarizes the available literature on frequency, predictors, clinical consequences, and strategies for improving medical adherence in patients with IBD. PMID:19750566

Prevalence, predictors, and clinical consequences of medical adherence in IBD: how to improve it?

PubMed

Lakatos, Peter Laszlo

2009-09-14

Inflammatory bowel diseases (IBD) are chronic diseases with a relapsing-remitting disease course necessitating lifelong treatment. However, non-adherence has been reported in over 40% of patients, especially those in remission taking maintenance therapies for IBD. The economical impact of non-adherence to medical therapy including absenteeism, hospitalization risk, and the health care costs in chronic conditions, is enormous. The causes of medication non-adherence are complex, where the patient-doctor relationship, treatment regimen, and other disease-related factors play key roles. Moreover, subjective assessment might underestimate adherence. Poor adherence may result in more frequent relapses, a disabling disease course, in ulcerative colitis, and an increased risk for colorectal cancer. Improving medication adherence in patients is an important challenge for physicians. Understanding the different patient types, the reasons given by patients for non-adherence, simpler and more convenient dosage regimens, dynamic communication within the health care team, a self-management package incorporating enhanced patient education and physician-patient interaction, and identifying the predictors of non-adherence will help devise suitable plans to optimize patient adherence. This editorial summarizes the available literature on frequency, predictors, clinical consequences, and strategies for improving medical adherence in patients with IBD.

Numerical predictors of arithmetic success in grades 1-6.

PubMed

Lyons, Ian M; Price, Gavin R; Vaessen, Anniek; Blomert, Leo; Ansari, Daniel

2014-09-01

Math relies on mastery and integration of a wide range of simpler numerical processes and concepts. Recent work has identified several numerical competencies that predict variation in math ability. We examined the unique relations between eight basic numerical skills and early arithmetic ability in a large sample (N = 1391) of children across grades 1-6. In grades 1-2, children's ability to judge the relative magnitude of numerical symbols was most predictive of early arithmetic skills. The unique contribution of children's ability to assess ordinality in numerical symbols steadily increased across grades, overtaking all other predictors by grade 6. We found no evidence that children's ability to judge the relative magnitude of approximate, nonsymbolic numbers was uniquely predictive of arithmetic ability at any grade. Overall, symbolic number processing was more predictive of arithmetic ability than nonsymbolic number processing, though the relative importance of symbolic number ability appears to shift from cardinal to ordinal processing. © 2014 John Wiley & Sons Ltd.

Renal Failure in Sickle Cell Disease: Prevalence, Predictors of Disease, Mortality and Effect on Length of Hospital Stay.

PubMed

Yeruva, Sri L H; Paul, Yonette; Oneal, Patricia; Nouraie, Mehdi

2016-09-01

Renal dysfunction in sickle cell disease is not only a chronic comorbidity but also a mortality risk factor. Though renal dysfunction starts early in life in sickle cell patients, the predictors that can identify sickle cell disease patients at risk of developing renal dysfunction is not known. We used the Truven Health MarketScan ® Medicaid Databases from 2007 to 2012. Incidence of new acute renal failure (ARF) and chronic kidney disease (CKD) was calculated in this cohort. There were 9481 patients with a diagnosis of sickle cell disease accounting for 64,201 hospital admissions, during the study period. Both ARF and CKD were associated with higher risk of inpatient mortality, longer duration of the hospital stay and expensive hospitalizations. The yearly incidence of new ARF in sickle cell disease patients was 1.4% and annual CKD incidence was 1.3%. The annual rate of new ARF and CKD in the control group was 0.4 and 0.6%, respectively. The most important predictors of new CKD were proteinuria, ARF and hypertension. Chronic kidney disease, hypertension and sickle cell crisis were the most important predictors of new ARF. The annual rate of incidences of ARF and CKD were 2- to 3-fold higher in sickle cell disease compared to the non sickle cell disease group. Besides the common risk factors for renal disease in the general population, it is imperative to monitor the sickle cell disease patients with more severe disease to prevent them from developing renal dysfunction.

Life Span Studies of ADHD-Conceptual Challenges and Predictors of Persistence and Outcome.

PubMed

Caye, Arthur; Swanson, James; Thapar, Anita; Sibley, Margaret; Arseneault, Louise; Hechtman, Lily; Arnold, L Eugene; Niclasen, Janni; Moffitt, Terrie; Rohde, Luis Augusto

2016-12-01

There is a renewed interest in better conceptualizing trajectories of attention-deficit/hyperactivity disorder (ADHD) from childhood to adulthood, driven by an increased recognition of long-term impairment and potential persistence beyond childhood and adolescence. This review addresses the following major issues relevant to the course of ADHD in light of current evidence from longitudinal studies: (1) conceptual and methodological issues related to measurement of persistence of ADHD, (2) estimates of persistence rate from childhood to adulthood and its predictors, (3) long-term negative outcomes of childhood ADHD and their early predictors, and (4) the recently proposed new adult-onset ADHD. Estimates of persistence vary widely in the literature, and diagnostic criteria, sample characteristics, and information source are the most important factors explaining variability among studies. Evidence indicates that ADHD severity, comorbid conduct disorder and major depressive disorder, and treatment for ADHD are the main predictors of ADHD persistence from childhood to adulthood. Comorbid conduct disorder and ADHD severity in childhood are the most important predictors of adverse outcomes in adulthood among children with ADHD. Three recent population studies suggested the existence of a significant proportion of individuals who report onset of ADHD symptoms and impairments after childhood. Finally, we highlight areas for improvement to increase our understanding of ADHD across the life span.

Predictors of utilisation of dental care services in a nationally representative sample of adults.

PubMed

Guiney, H; Woods, N; Whelton, H; Morgan, K

2011-12-01

The objective of this study was to identify the predictors of utilisation of dental care services in Ireland. The 2007 Irish Survey of Lifestyle, Attitudes and Nutrition is a cross-sectional study, conducted in 2006/2007 (n = 10,364), by interviews at home to a representative sample of adults aged 18 years or over. Multivariate logistic regression was used to investigate the influence of socioeconomic, predisposing and enabling factors on the odds of males and females having a dental visit in the past year. The significant predictors of visiting the dentist in the past year were for males: having 3rd level education, employment status, earning 50,000 euros or more, location of residence, use of a car, brushing frequently, and dentition status. For females, the predictors were being between 25-34 or 55-64 years-old, education level, earning 50,000 euros or more, location of residence, use of a car, brushing frequently and dentition status. Predictors of the use of dental services vary by gender. Predictors common to both genders were education level, higher income, location of residence, use of a car, brushing frequently and dentition status. Many of the predictors of dental visiting in the past year are also related to social inequalities in health. These predictors may be useful markers of impact for policies designed to address inequalities in access to oral health services.

Predictors of mental and physical health in non-cirrhotic patients with viral hepatitis: a case control study.

PubMed

Ashrafi, Mandana; Modabbernia, Amirhossein; Dalir, Mojtaba; Taslimi, Shervin; Karami, Maryam; Ostovaneh, Mohammad Reza; Malekzadeh, Reza; Poustchi, Hossein

2012-09-01

To identify independent predictors of mental and physical health in patients with viral hepatitis. Hepatitis C (HCV) and hepatitis B (HBV) infected patients, and community control subjects with equal age and sex distribution were recruited. All subjects filled in personal characteristics questionnaire, Hospital Anxiety and Depression Scale (HADS), Iowa Fatigue Scale (IFS), and Medical Outcomes Survey Short Form-12 (SF-12). All patients had measurement of routine laboratory values, and some had recent liver biopsy. Regression analyses were used to identify predictors of physical and mental health. One hundred eighty nine subjects (162 males, 27 females, for each group N=63) with mean (±SD) age of 39±11years were included. Anxiety and depression were important predictors of SF-12 (and its subscales MCS and PCS) and IFS scores, whereas IFS scores independently predicted HADS, PCS, MCS, and SF-12 scores. After controlling for confounders, HCV infection was independently associated with impairment of physical health. Moreover, creatinine showed an inverse strong relation with fatigue. Genotype 3a of HCV was independently associated with depressed and anxious states, whereas higher inflammation grade was significantly related to depression. Marital status, non-psychiatric comorbidities, and history of alcohol abuse also predicted health scores in the patients. Adjusted R(2)s for linear models were 0.571 to 0.709, whereas areas under the receiver operating characteristic (ROC) curve for logistic models were 0.90 to 0.93. In viral hepatitis patients, besides mental and medical comorbidities, marital status, and alcohol abuse, HCV infection itself is associated with impaired physical and possibly mental health. Copyright © 2012 Elsevier Inc. All rights reserved.

Pharmacogenetic Predictors of Methylphenidate Dose-Response in Attention-Deficit/Hyperactivity Disorder

ERIC Educational Resources Information Center

Froehlich, Tanya E.; Epstein, Jeffery N.; Nick, Todd G.; Melguizo Castro, Maria S.; Stein, Mark A.; Brinkman, William B.; Graham, Amanda J.; Langberg, Joshua M.; Kahn, Robert S.

2011-01-01

Objective: Because of significant individual variability in attention-deficit/hyperactivity disorder (ADHD) medication response, there is increasing interest in identifying genetic predictors of treatment effects. This study examined the role of four catecholamine-related candidate genes in moderating methylphenidate (MPH) dose-response. Method:…

Predictors of radio-cephalic arteriovenous fistulae patency in an Asian population.

PubMed

Joseph Lo, Zhiwen; Tay, Wee Ming; Lee, Qinyi; Chua, Jia Long; Tan, Glenn Wei Leong; Chandrasekar, Sadhana; Narayanan, Sriram

2016-09-21

To identify predictors of arteriovenous fistula (AVF) patency in Asian patients with autogenous radio-cephalic arteriovenous fistula (RCAVF). Retrospective review of 436 RCAVFs created between 2009 and 2013. Predictors of patency were identified with univariate and multivariate analysis. Kaplan-Meier survival analysis and log-rank test were used to calculate patency rates. Overall secondary patency rate was 72% at 12 months, 69% at 24 months, 58% at 36 months, 57% at 48 months, 56% at 60 months and 54% at 72 months. Univariate analysis showed that factors which predict for patency include male gender (p = 0.003), good diabetic control (p = 0.025), aspirin use (p = 0.031), pre-dialysis status (p = 0.037), radial artery diameter (p = 0.029) and non-calcified radial arteries (p = 0.002). Age (p = 0.866), cephalic vein diameter (p = 0.630) and surgeon grade (p = 0.472) did not predict for primary AVF failure. Multivariate analysis revealed the male gender to be an independent predictor for patency (odds ratio 1.99, p = 0.01). Subset analysis showed a significantly larger average radial artery diameter of 2.3 mm amongst males, as compared to 1.9 mm amongst females (p = 0.001) and no statistical difference in the average cephalic vein diameter. Within our Asian study population, 12-month patency rate of RCAVF is 72%, 69% at 24 months, 58% at 36 months, 57% at 48 months, 56% at 60 months and 54% at 72 months. Male gender is an independent predictor for RCAVF patency. In females or patients with calcified radial arteries, a more proximal AVF should be considered.

Predictors of fitness to practise declarations in UK medical undergraduates.

PubMed

Paton, Lewis W; Tiffin, Paul A; Smith, Daniel; Dowell, Jon S; Mwandigha, Lazaro M

2018-04-05

Misconduct during medical school predicts subsequent fitness to practise (FtP) events in doctors, but relatively little is known about which factors are associated with such issues during undergraduate education. This study exploits the newly created UK medical education database (UKMED), with the aim of identifying predictors of conduct or health-related issues that could potentially impair FtP. The findings would have implications for policies related to both the selection and support of medical students. Data were available for 14,379 students obtaining provisional registration with the General Medical Council who started medical school in 2007 and 2008. FtP declarations made by students were available, as were various educational and demographic predictor variables, including self-report 'personality measures' for students who participated in UK Clinical Aptitude Test (UKCAT) pilot studies. Univariable and multivariable logistic regression models were developed to evaluate the predictors of FtP declarations. Significant univariable predictors (p < 0.05) for conduct-related declarations included male gender, white ethnicity and a non-professional parental background. Male gender (OR 3.07) and higher 'self-esteem' (OR 1.45) were independently associated with an increased risk of a conduct issue. Female gender, a non-professional background, and lower self-reported 'confidence' were, among others, associated with increased odds of a health-related declaration. Only 'confidence' was a significant independent predictor of a health declaration (OR 0.69). Female gender, higher UKCAT score, a non-professional background and lower 'confidence' scores were significant predictors of reported depression, and the latter two variables were independent predictors of declared depression. White ethnicity and UK nationality were associated with increased odds of both conduct and health-related declarations, as were certain personality traits. Students from non

Predictors of Medical or Surgical and Psychiatric Hospitalizations Among a Population-Based Cohort of Homeless Adults

PubMed Central

Chambers, Catharine; Katic, Marko; Chiu, Shirley; Redelmeier, Donald A.; Levinson, Wendy; Kiss, Alex

2013-01-01

Objectives. We identified factors associated with inpatient hospitalizations among a population-based cohort of homeless adults in Toronto, Ontario. Methods. We recruited participants from shelters and meal programs. We then linked them to administrative databases to capture hospital admissions during the study (2005–2009). We used logistic regression to identify predictors of medical or surgical and psychiatric hospitalizations. Results. Among 1165 homeless adults, 20% had a medical or surgical hospitalization, and 12% had a psychiatric hospitalization during the study. These individuals had a total of 921 hospitalizations, of which 548 were medical or surgical and 373 were psychiatric. Independent predictors of medical or surgical hospitalization included birth in Canada, having a primary care provider, higher perceived external health locus of control, and lower health status. Independent predictors of psychiatric hospitalization included being a current smoker, having a recent mental health problem, and having a lower perceived internal health locus of control. Being accompanied by a partner or dependent children was protective for hospitalization. Conclusions. Health care need was a strong predictor of medical or surgical and psychiatric hospitalizations. Some hospitalizations among homeless adults were potentially avoidable, whereas others represented an unavoidable use of health services. PMID:24148040

The operating surgeon is an independent predictor of chest tube drainage following cardiac surgery.

PubMed

Dixon, Barry; Reid, David; Collins, Marnie; Newcomb, Andrew E; Rosalion, Alexander; Yap, Cheng-Hon; Santamaria, John D; Campbell, Duncan J

2014-04-01

Bleeding into the chest is a major cause of blood transfusion and adverse outcomes following cardiac surgery. The authors investigated predictors of bleeding following cardiac surgery to identify potentially correctable factors. Data were retrieved from the medical records of patients undergoing cardiac surgery over the period of 2002 to 2008. Multivariate analysis was used to identify the independent predictors of chest tube drainage. Tertiary hospital. Two thousand five hundred seventy-five patients. Cardiac surgery. The individual operating surgeon was independently associated with the extent of chest tube drainage. Other independent factors included internal mammary artery grafting, cardiopulmonary bypass time, urgency of surgery, tricuspid valve surgery, redo surgery, left ventricular impairment, male gender, lower body mass index and higher preoperative hemoglobin levels. Both a history of diabetes and administration of aprotinin were associated with reduced levels of chest tube drainage. The individual operating surgeon was an independent predictor of the extent of chest tube drainage. Attention to surgeon-specific factors offers the possibility of reduced bleeding, fewer transfusions, and improved patient outcomes. © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Predictors of chain acquisition among independent dialysis facilities.

PubMed

Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C

2010-04-01

To determine the predictors of chain acquisition among independent dialysis providers. Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996-2003. Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status.

Personality Traits as Prospective Predictors of Suicide Attempts

PubMed Central

Yen, Shirley; Shea, M. Tracie; Sanislow, Charles A.; Skodol, Andrew E.; Grilo, Carlos M.; Edelen, Maria Orlando; Stout, Robert L.; Morey, Leslie C.; Zanarini, Mary C.; Markowitz, John C.; McGlashan, Thomas H.; Daversa, Maria T.; Gunderson, John G.

2009-01-01

OBJECTIVE To examine higher order personality factors of negative affectivity (NA) and disinhibition (DIS), as well as lower order facets of impulsivity, as prospective predictors of suicide attempts in a predominantly personality disordered (PD) sample. METHOD Data were analyzed from 701 participants of the Collaborative Longitudinal Personality Disorders Study (CLPS) with available follow-up data for up to 7 years. Cox proportional hazards regression analyses was used to examine NA and DIS, and facets of impulsivity (e.g., urgency, lack of perseverance, lack of premeditation, and sensation seeking), as prospective predictors of suicide attempts. RESULTS NA, DIS, and all facets of impulsivity except for sensation seeking were significant in univariate analyses. In multivariate models which included sex, childhood sexual abuse (CSA), course of major depressive disorder (MDD) and substance use disorders (SUD), only NA and lack of premeditation remained significant in predicting suicide attempts. Disinhibition and the remaining impulsivity facets were not significant. CONCLUSION Negative affectivity emerged as a stronger and more robust predictor of suicide attempts than disinhibition and impulsivity, and warrants greater attention in suicide risk assessment. Distinguishing between facets of impulsivity is important for clinical risk assessment. PMID:19298413

Predictors of suicide ideation among older adults with bipolar disorder.

PubMed

O'Rourke, Norm; Heisel, Marnin J; Canham, Sarah L; Sixsmith, Andrew

2017-01-01

Bipolar disorder (BD) carries the greatest risk of death by suicide of all psychiatric conditions as 25%-50% of those with BD will make one or more suicide attempt, and about 15% will intentionally end their lives. Among young adults with BD, substance misuse, medication non-adherence, age at onset, and comorbid psychiatric conditions each predict self-harm. It is currently unclear if these same factors or others predict suicide ideation among older adults with BD. We recruited a global sample of 220 older adults with BD over 19 days using socio-demographically targeted, social media advertising and online data collection (Mean = 58.50, SD = 5.42; range 50 to 81 years). Path analyses allowed us to identify direct and indirect predictors of suicide ideation among older adults with BD. Cognitive failures (perception, memory, and motor function), depressive symptoms, alcohol misuse, and dissatisfaction with life as direct predictors of suicide ideation; duration of BD symptoms and medication non-adherence emerged as indirect predictors. Of note, the significant impact of sleep on suicide ideation is indirect via depressive symptoms, cognitive failures, medication non-adherence and life dissatisfaction. As with young adults with BD, alcohol misuse and medication non-adherence emerged as significant predictors of suicide ideation. In addition, cognitive failures directly and indirectly predict suicide ideation in this sample of older adults with BD. Population aging and treatment efficacy are leading to ever growing numbers of older adults with BD. Both direct and indirect predictors of suicide ideation need to be considered in future BD research and treatment planning.

Predictors of nurses' acceptance of an intravenous catheter safety device.

PubMed

Rivers, Dianna Lipp; Aday, Lu Ann; Frankowski, Ralph F; Felknor, Sarah; White, Donna; Nichols, Brenda

2003-01-01

It is important to determine the factors that predict whether nurses accept and use a new intravenous (IV) safety device because there are approximately 800,000 needlesticks per year with the risk of contracting a life-threatening bloodborne disease such as HIV or hepatitis C. To determine the predictors of nurses' acceptance of the Protectiv Plus IV catheter safety needle device at a teaching hospital in Texas. A one-time cross-sectional survey of nurses (N = 742) was conducted using a 34-item questionnaire. A framework was developed identifying organizational and individual predictors of acceptance. The three principal dimensions of acceptance were (a) satisfaction with the device, (b) extent to which the device is always used, and (c) nurse recommendations over other safety devices. Measurements included developing summary subscales for the variables of safety climate and acceptance. Descriptive statistics and multiple linear and logistic regression models were computed. The findings showed widespread acceptance of the device. Nurses who had adequate training and a positive institutional safety climate were more accepting (p

Predictors of avoiding medical care and reasons for avoidance behavior.

PubMed

Kannan, Viji Diane; Veazie, Peter J

2014-04-01

Delayed medical care has negative health and economic consequences; interventions have focused on appraising symptoms, with limited success in reducing delay. To identify predictors of care avoidance and reasons for avoiding care. Using the Health Information National Trends Survey (2007), we conducted logistic regressions to identify predictors of avoiding medical visits deemed necessary by the respondents; and, we then conducted similar analyses on reasons given for avoidance behavior. Independent variables included geographic, demographic, socioeconomic, personal health, health behavior, health care system, and cognitive characteristics. Approximately one third of adults avoided doctor visits they had deemed necessary. Although unadjusted associations existed, avoiding needed care was not independently associated with geographic, demographic, and socioeconomic characteristics. Avoidance behavior is characterized by low health self-efficacy, less experience with both quality care and getting help with uncertainty about health, having your feelings attended to by your provider, no usual source of care, negative affect, smoking daily, and fatalistic attitude toward cancer. Reasons elicited for avoidance include preference for self-care or alternative care, dislike or distrust of doctors, fear or dislike of medical treatments, time, and money; respondents also endorsed discomfort with body examinations, fear of having a serious illness, and thoughts of dying. Distinct predictors distinguish each of these reasons. Interventions to reduce patient delay could be improved by addressing the health-related behavioral, belief, experiential, and emotional traits associated with delay. Attention should also be directed toward the interpersonal communications between patients and providers.

Lipoprotein(a) levels in familial hipercholesterolaemia: an important predictor for cardiovascular disease independent of the type of LDL-receptor mutation

USDA-ARS?s Scientific Manuscript database

To determine the relationship between lipoprotein(a) [Lp(a)] and cardiovascular disease (CVD) in a large cohort of heterozygous familial hypercholesterolemia (FH) patients. Lipoprotein(a) is considered a cardiovascular risk factor. Nevertheless, the role of Lp(a) as a predictor of CVD in FH has been...

Predictors of locating women six to eight years after contact: internet resources at recruitment may help to improve response rates in longitudinal research.

PubMed

Cadarette, Suzanne M; Dickson, Leigh; Gignac, Monique A M; Beaton, Dorcas E; Jaglal, Susan B; Hawker, Gillian A

2007-06-18

The ability to locate those sampled has important implications for response rates and thus the success of survey research. The purpose of this study was to examine predictors of locating women requiring tracing using publicly available methods (primarily Internet searches), and to determine the additional benefit of vital statistics linkages. Random samples of women aged 65-89 years residing in two regions of Ontario, Canada were selected from a list of those who completed a questionnaire between 1995 and 1997 (n = 1,500). A random sample of 507 of these women had been searched on the Internet as part of a feasibility pilot in 2001. All 1,500 women sampled were mailed a newsletter and information letter prior to recruitment by telephone in 2003 and 2004. Those with returned mail or incorrect telephone number(s) required tracing. Predictors of locating women were examined using logistic regression. Tracing was required for 372 (25%) of the women sampled, and of these, 181 (49%) were located. Predictors of locating women were: younger age, residing in less densely populated areas, having had a web-search completed in 2001, and listed name identified on the Internet prior to recruitment in 2003. Although vital statistics linkages to death records subsequently identified 41 subjects, these data were incomplete. Prospective studies may benefit from using Internet resources at recruitment to determine the listed names for telephone numbers thereby facilitating follow-up tracing and improving response rates. Although vital statistics linkages may help to identify deceased individuals, these may be best suited for post hoc response rate adjustment.

Ecological Predictors of Substance Use in Middle School Students

ERIC Educational Resources Information Center

Suldo, Shannon M.; Mihalas, Stephanie; Powell, Heather; French, Rachel

2008-01-01

The current study examined important predictors of substance use during early adolescence. The authors hypothesized that adolescents' relationships with key adults (i.e., teachers and parents) influence their choices to use substances indirectly through links with their decisions regarding peer groups. A total of 461 middle school students from an…

Prenatal predictors of postpartum depression and postpartum depressive symptoms in Mexican mothers: a longitudinal study.

PubMed

Lara, María Asunción; Navarrete, Laura; Nieto, Lourdes

2016-10-01

Prospective studies on the predictors of postpartum depression (PPD) in Latin America are scarce, which is a matter of importance, since the significance of PPD risk factors may vary according to the level of development of a country, the types of measurement and the time periods assessed. This study identifies the prenatal predictors for PPD (diagnostic interview) and postpartum depressive symptoms (PPDS) (self-report scale) in Mexican mothers at 6 weeks and 6 months postpartum. Two hundred and ten women were interviewed using the Structured Clinical Interview (SCID-I), Patient Health Questionnaire (PHQ-9) and various risk factor scales. Univariate logistic regressions showed that social support, marital satisfaction, life events, a history of psychopathology, anxiety symptoms, depressive symptoms, the traditional female role, previous miscarriages/termination of pregnancy and unplanned/unwanted pregnancy were significant predictors for both PPD and PPDS at both assessment times in the postpartum. Education, age, marital status, income, occupation, parity, C-section and resilience were significant for only one of the measurements and/or at just one assessment time. General findings replicate a high- and low-income country observed psychosocial risk profile and confirm a sociodemographic and obstetric profile of vulnerability that is more prevalent in resource-constrained countries. PPD constitutes a high burden for new mothers, particularly for those living in low-middle-income countries who face social disadvantages (such as low educational attainment and income).

Predictors of readmission after successful electroconvulsive therapy for depression: a chart review study.

PubMed

Uchida, Takahito; Kishimoto, Taishiro; Koreki, Akihiro; Nakao, Shigetsugu; Owada, Ai; Koizumi, Teruki; Saito, Atsuyuki; Sato, Minako; Sawada, Shinya; Matsuzaki, Ryuta; Petrides, Georgios; Mimura, Masaru

2016-11-01

The study aimed to identify the predictors for readmission after a successful electroconvulsive therapy (ECT) course. Medical charts of patients who received ECT for major depressive episodes were reviewed. Patients' demographic characteristics and treatment parameters, such as ECT charge, seizure duration, the number of ECT sessions and pharmacotherapy, were extracted. We compared differences between those who were readmitted after successful ECT within 6 and 12 months, versus those not readmitted. We also conducted a multivariate logistic regression analysis to identify the predictors for readmission. Out of 51 patients who were discharged after ECT, 27 patients met the inclusion criteria and were included in the analysis. Eight patients were readmitted within 6 months after discharge, and four more patients were readmitted during the next 6-month follow up. Comparing patients who were and were not readmitted, we found no significant differences between groups, including ECT parameters such as the number of ECT sessions, average charge and final charge. No predictors for readmission were found through multivariate analysis. Although patients who require higher ECT charge and more sessions seem to be prone to readmission, our dataset suggested that none of these types of ECT parameters were risk factors for readmission.

Stability of Predictors of Mortality after Spinal Cord Injury

PubMed Central

Krause, James S.; Saunders, Lee L.; Zhai, Yusheng

2011-01-01

Objective To identify the stability of socio-environmental, behavioral, and health predictors of mortality over an eight year time frame. Study Design Cohort study. Setting Data were analyzed at a large medical university in the Southeast United States of America (USA). Methods Adults with residual impairment from a spinal cord injury (SCI) who were at least one year post-injury at assessment were recruited through a large specialty hospital in the Southeast USA. 1209 participants were included in the final analysis. A piecewise exponential model with 2 equal time intervals (eight years total) was used to assess the stability of the hazard and the predictors over time. Results The hazard did significantly change over time, where the hazard in the first time interval was significantly lower than the second. There were no interactions between the socio-environmental, behavior, or health factors and time, although there was a significant interaction between age at injury (a demographic variable) and time. Conclusion These results suggest there is stability in the association between the predictors and mortality, even over an eight year time period. Results reinforce the use of historic variables for prediction of mortality in persons with SCI. PMID:22231541

Predictors of Restrictive Reactive Strategy Use in People with Challenging Behaviour

ERIC Educational Resources Information Center

Allen, David; Lowe, Kathy; Brophy, Sam; Moore, Kate

2009-01-01

Background: Intrusive reactive strategies (physical restraint, emergency medication and seclusion) are frequently used procedures in the management of challenging behaviour. The present study identifies predictors for reactive strategy use in an attempt to more clearly delineate at risk service users. Method: Eight hundred and thirty-nine agencies…

Cognitive-Affective Predictors of Women's Readiness to End Domestic Violence Relationships

ERIC Educational Resources Information Center

Shurman, Lauren A.; Rodriguez, Christina M.

2006-01-01

A model of women's readiness to terminate an abusive relationship was examined, using cognitive and emotional factors to predict readiness to change as conceptualized in the transtheoretical model. Factors previously identified in the domestic violence literature were selected to represent cognitive predictors (attribution and attachment style)…

Increasing time to postoperative stereotactic radiation therapy for patients with resected brain metastases: investigating clinical outcomes and identifying predictors associated with time to initiation.

PubMed

Yusuf, Mehran B; Amsbaugh, Mark J; Burton, Eric; Nelson, Megan; Williams, Brian; Koutourousiou, Maria; Nauta, Haring; Woo, Shiao

2018-02-01

We sought to determine the impact of time to initiation (TTI) of post-operative radiosurgery on clinical outcomes for patients with resected brain metastases and to identify predictors associated with TTI. All patients with resected brain metastases treated with postoperative SRS or fractionated stereotactic radiation therapy (fSRT) from 2012 to 2016 at a single institution were reviewed. TTI was defined as the interval from resection to first day of radiosurgery. Receiver operating characteristic (ROC) curves were used to identify an optimal threshold for TTI with respect to local failure (LF). Survival outcomes were estimated using the Kaplan-Meier method and analyzed using the log-rank test and Cox proportional hazards models. Logistic regression models were used to identify factors associated with ROC-determined TTI covariates. A total of 79 resected lesions from 73 patients were evaluated. An ROC curve of LF and TTI identified an optimal threshold for TTI of 30.5 days, with an area under the curve of 0.637. TTI > 30 days was associated with an increased hazard of LF (HR 4.525, CI 1.239-16.527) but was not significantly associated with survival (HR 1.002, CI 0.547-1.823) or distant brain failure (DBF, HR 1.943, CI 0.989-3.816). Fifteen patients (20.5%) required post-operative inpatient rehabilitation. Post-operative rehabilitation was associated with TTI > 30 days (OR 1.48, CI 1.142-1.922). In our study of resected brain metastases, longer time to initiation of post-operative radiosurgery was associated with increased local failure. Ideally, post-op SRS should be initiated within 30 days of resection if feasible.

Real-time predictors of suicidal ideation: mobile assessment of hospitalized depressed patients.

PubMed

Ben-Zeev, Dror; Young, Michael A; Depp, Colin A

2012-05-15

Suicidal ideation is a risk factor for suicide attempt and completion. Cross-sectional or retrospective studies cannot capture the dynamic course and possible predictors of suicidal ideation as it occurs in daily life. This study utilizes an experience sampling paradigm to identify real-time predictors of suicidal ideation in inpatients with major depressive disorder. Thirty-one depressed patients admitted to a psychiatric unit were signaled by a mobile device to record suicidal ideation, affect, and other symptoms, multiple times a day over 1 week. Participants completed a total of 1350 questionnaires. Seventy-four percent of the sample reported suicidal ideation during the week. Time-lagged analyses revealed that momentary ratings of Sadness, Tension, and Boredom (as well as suicidal ideation itself) predicted subsequent suicidal thoughts in the following hours. Baseline severity of depression and past suicide attempts were both correlated with mean ideation severity during the week. A number of predictors identified in prior research (e.g. hopelessness) were unrelated to subsequent suicidal ideation in the current study. Momentary interventions that guide individuals through activities designed to reduce levels of Sadness, Tension, and Boredom in real-time (e.g., thought challenging, relaxation, behavioral activation) may be especially warranted. Copyright © 2012 Elsevier Ltd. All rights reserved.

Gratifications, collective self-esteem, online emotional openness, and traitlike communication apprehension as predictors of Facebook uses.

PubMed

Zhang, Yin; Tang, Leo Shing-Tung; Leung, Louis

2011-12-01

This study explores whether and how gratifications and psychological traits impact people's Facebook use. First, a factor analysis of an online survey (N= 437) outlined a unique set of gratifications obtained from the use of Facebook. Six aspects of gratifications (i.e., social surveillance, entertainment, recognition, emotional support, network extension, and maintenance) were identified. Results from regression analyses showed that psychological traits (i.e., collective self-esteem, online emotional openness, and traitlike communication apprehension) were strong predictors of most Facebook gratifications. Additionally, gratifications and, to a lesser extent, psychological traits significantly predicted Facebook usage, both in perceived importance and different indicators in the level of Facebook use.

Age is no barrier: predictors of academic success in older learners

NASA Astrophysics Data System (ADS)

Imlach, Abbie-Rose; Ward, David D.; Stuart, Kimberley E.; Summers, Mathew J.; Valenzuela, Michael J.; King, Anna E.; Saunders, Nichole L.; Summers, Jeffrey; Srikanth, Velandai K.; Robinson, Andrew; Vickers, James C.

2017-11-01

Although predictors of academic success have been identified in young adults, such predictors are unlikely to translate directly to an older student population, where such information is scarce. The current study aimed to examine cognitive, psychosocial, lifetime, and genetic predictors of university-level academic performance in older adults (50-79 years old). Participants were mostly female (71%) and had a greater than high school education level (M = 14.06 years, SD = 2.76), on average. Two multiple linear regression analyses were conducted. The first examined all potential predictors of grade point average (GPA) in the subset of participants who had volunteered samples for genetic analysis (N = 181). Significant predictors of GPA were then re-examined in a second multiple linear regression using the full sample (N = 329). Our data show that the cognitive domains of episodic memory and language processing, in conjunction with midlife engagement in cognitively stimulating activities, have a role in predicting academic performance as measured by GPA in the first year of study. In contrast, it was determined that age, IQ, gender, working memory, psychosocial factors, and common brain gene polymorphisms linked to brain function, plasticity and degeneration (APOE, BDNF, COMT, KIBRA, SERT) did not influence academic performance. These findings demonstrate that ageing does not impede academic achievement, and that discrete cognitive skills as well as lifetime engagement in cognitively stimulating activities can promote academic success in older adults.

Predictors of health-related and global quality of life among young adults with difficult-to-treat epilepsy and mild intellectual disability.

PubMed

Endermann, Michael

2013-02-01

This study evaluated predictors of health-related quality of life (HRQOL) and global quality of life (QOL) among young adults with difficult-to-treat epilepsy and mild intellectual disability. One hundred and forty-two persons with epilepsy and cognitive problems were routinely screened on HRQOL, global QOL, and psychological distress four weeks after admission to a time-limited residential rehabilitation unit. The PESOS scales (PE = PErformance, SO = SOciodemographic aspects, S = Subjective evaluation/estimation) on epilepsy-specific problems were administered as measures of HRQOL; a questionnaire on life satisfaction and an item on overall QOL were used as measures of global QOL. Psychological distress was captured with the Symptom Checklist 90-R. Further data were gained from medical files. Quality-of- life predictors were identified using univariate methods and stepwise regression analyses. Psychological distress was the only predictor of all HRQOL and global QOL parameters. Seizure frequency was a predictor of most HRQOL variables. Other epilepsy variables affected only some HRQOL variables but were not associated with global QOL. Health-related quality of life did not seem to be strongly impaired. Only low correlations were found between HRQOL and global QOL. The notion of psychological distress as the most influential predictor of all QOL measures is in line with most findings on QOL in epilepsy. Former observations of weak associations between HRQOL and global QOL among patients with epilepsy and mild intellectual disability are supported. Thus, interventions to reduce psychological distress, besides epilepsy treatment, seem to be of great importance to improve QOL. Copyright © 2012 Elsevier Inc. All rights reserved.

Distribution and Predictors of Pesticides in the Umbilical Cord Blood of Chinese Newborns

PubMed Central

Silver, Monica K.; Shao, Jie; Chen, Minjian; Xia, Yankai; Lozoff, Betsy; Meeker, John D.

2015-01-01

Rates of pesticide use in Chinese agriculture are five times greater than the global average, leading to high exposure via the diet. Many are neurotoxic, making prenatal pesticide exposure a concern. Previous studies of prenatal exposure in China focused almost entirely on organochlorines. Here the study goals were to characterize the exposure of Chinese newborns to all classes of pesticides and identify predictors of those exposures. Eighty-four pesticides and 12 metabolites were measured in the umbilical cord plasma of 336 infants. Composite variables were created for totals detected overall and by class. Individual pesticides were analyzed as dichotomous or continuous, based on detection rates. Relationships between demographic characteristics and pesticides were evaluated using generalized linear regression. Seventy-five pesticides were detected. The mean number of detects per sample was 15.3. Increased pesticide detects were found in the cord blood of infants born in the summer (β = 2.2, p = 0.01), particularly in July (β = 4.0, p = 0.03). Similar trends were observed for individual insecticide classes. Thus, a summer birth was the strongest predictor of pesticide evidence in cord blood. Associations were more striking for overall pesticide exposure than for individual pesticides, highlighting the importance of considering exposure to mixtures of pesticides, rather than individual agents or classes. PMID:26729147

Prevalence, associated factors and predictors of depression among adults in the community of Selangor, Malaysia.

PubMed

Kader Maideen, Siti Fatimah; Sidik, Sherina Mohd; Rampal, Lekhraj; Mukhtar, Firdaus

2014-01-01

Depression is one of the most common mental health disorders and is an emerging public health problem. The objectives of this paper were to determine the prevalence of depression, its associated factors and the predictors of depression among adults in the community of Selangor. A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS) in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires. A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9) was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity. The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the program.

Predictors of Academic Success in Language Arts Literacy and Math on State Assessments in New Jersey Charter Schools

ERIC Educational Resources Information Center

Jerue, Gary A.

2013-01-01

There are a limited number of studies that examine the predictors of academic success in charter schools (Lawton, 2009). This study utilized a multiple regression analysis to identify the best predictors of academic success in language arts literacy (LAL) and math on state assessments in New Jersey charter schools. This study included four student…

Clinical predictors of facial nerve outcome after translabyrinthine resection of acoustic neuromas.

PubMed

Shamji, Mohammed F; Schramm, David R; Benoit, Brien G

2007-01-01

The translabyrinthine approach to acoustic neuroma resection offers excellent exposure for facial nerve dissection with 95% preservation of anatomic continuity. Acceptable outcome in facial asymptomatic patients is reported at 64-90%, but transient postoperative deterioration often occurs. The objective of this study was to identify preoperative clinical presentation and intraoperative surgical findings that predispose patients to facial nerve dysfunction after acoustic neuroma surgery. The charts of 128 consecutive translabyrinthine patients were examined retrospectively to identify new clinical and intraoperative predictors of facial nerve outcome. Postoperative evaluation of patients to normal function or mild asymmetry upon close inspection (House-Brackmann grades of I or II) was defined as an acceptable outcome, with obvious asymmetry to no movement (grades III to VI) defined as unacceptable. Intraoperative nerve stimulation was performed in all cases, and clinical grading was performed by a single neurosurgeon in all cases. Among patients with no preoperative facial nerve deficit, 87% had an acceptable result. Small size (P < 0.01) and low intraoperative nerve stimulation of < 0.10 mA (P< 0.01) were reaffirmed as predictive of functional nerve preservation. Additionally, preoperative tinnitus (P = 0.03), short duration of hearing loss (P< 0. 01), and lack of subjective tumour adherence to the facial nerve (P = 0.02) were independently correlated with positive outcome. Our experience with the translabyrinthine approach reveals the previously unestablished associations of facial nerve outcome to include presence of tinnitus and duration of hypoacusis. Independent predictors of tumour size and nerve stimulation thresholds were reaffirmed, and the subjective description of tumour adherence to the facial nerve making dissection more difficult appears to be important.

Psychosocial predictors of non-adherence to chronic medication: systematic review of longitudinal studies

PubMed Central

Zwikker, Hanneke E; van den Bemt, Bart J; Vriezekolk, Johanna E; van den Ende, Cornelia H; van Dulmen, Sandra

2014-01-01

Objectives Several cross-sectional studies suggest that psychosocial factors are associated with non-adherence to chronic preventive maintenance medication (CPMM); however, results from longitudinal associations have not yet been systematically summarized. Therefore, the objective of this study was to systematically synthesize evidence of longitudinal associations between psychosocial predictors and CPMM non-adherence. Materials and methods PUBMED, EMBASE, CINAHL, and PsychINFO databases were searched for studies meeting our inclusion criteria. The reference lists and the ISI Web of Knowledge of the included studies were checked. Studies were included if they had an English abstract, involved adult populations using CPMM living in Western countries, and if they investigated associations between psychosocial predictors and medication non-adherence using longitudinal designs. Data were extracted according to a literature-based extraction form. Study quality was independently judged by two researchers using a framework comprising six bias domains. Studies were considered to be of high quality if ≥four domains were free of bias. Psychosocial predictors for non-adherence were categorized into five pre-defined categories: beliefs/cognitions; coping styles; social influences and social support; personality traits; and psychosocial well-being. A qualitative best evidence synthesis was performed to synthesize evidence of longitudinal associations between psychosocial predictors and CPMM non-adherence. Results Of 4,732 initially-identified studies, 30 (low-quality) studies were included in the systematic review. The qualitative best evidence synthesis demonstrated limited evidence for absence of a longitudinal association between CPMM non-adherence and the psychosocial categories. The strength of evidence for the review’s findings is limited by the low quality of included studies. Conclusion The results do not provide psychosocial targets for the development of new

Scanning genomic areas under selection sweep and association mapping as tools to identify horticultural important genes in watermelon

USDA-ARS?s Scientific Manuscript database

Watermelon (Citrullus lanatus var. lanatus) contains 88% water, sugars, and several important health-related compounds, including lycopene, citrulline, arginine, and glutathione. The current genetic diversity study uses microsatellites with known map positions to identify genomic regions that under...

Predictors of Urgency of Out-of-Home Placement Needs.

ERIC Educational Resources Information Center

Kobe, Frank H.; And Others

1991-01-01

Interviews with 137 primary caregivers with developmentally disabled family members (ages 2-62) on waiting lists for out-of-home placement found that caregiver stress was a significant predictor of the urgency of placement need. Behavior problems of the disabled person were almost as important. Lack of support services was correlated with…

Predictors of adherence to treatment in women with fibromyalgia.

PubMed

Dobkin, Patricia L; Sita, Aurelio; Sewitch, Maida J

2006-01-01

The goal of this study was to identify predictors of general and medication adherence in women with fibromyalgia (FM). Participants were 142 women recruited from tertiary care hospitals or the community and 10 rheumatologists. Participants' demographic, clinical, and psychosocial characteristics, as well as patient-physician discordance, were assessed at the index visit. Adherence was assessed 6 months later. Multivariable generalized estimating equations were used to identify predictors of general adherence and adherence to medication. The average age of participants was 50.9 years (SD=10.2) and the median duration of FM was 32 months. Participants reported extensive use of health services and medications. The mean score for general adherence was 61.0 (SD=22.4; range 0-100) and 52.9% of the cohort reported at least one form of behavior reflecting nonadherence to medications. More general adherence was significantly predicted by lower patient-physician discordance on patient well-being and lower patient psychological distress. Medication adherence was significantly predicted by higher affective pain and lower patient psychological distress. Adherence is influenced by both clinical (patient-physician discordance and pain) and psychological (distress) factors in women with FM. Improvements in these domains may improve adherence in FM.

Are there pollination syndromes in the Australian epacrids (Ericaceae: Styphelioideae)? A novel statistical method to identify key floral traits per syndrome

PubMed Central

Johnson, Karen A.

2013-01-01

Background and Aims Convergent floral traits hypothesized as attracting particular pollinators are known as pollination syndromes. Floral diversity suggests that the Australian epacrid flora may be adapted to pollinator type. Currently there are empirical data on the pollination systems for 87 species (approx. 15 % of Australian epacrids). This provides an opportunity to test for pollination syndromes and their important morphological traits in an iconic element of the Australian flora. Methods Data on epacrid–pollinator relationships were obtained from published literature and field observation. A multivariate approach was used to test whether epacrid floral attributes related to pollinator profiles. Statistical classification was then used to rank floral attributes according to their predictive value. Data sets excluding mixed pollination systems were used to test the predictive power of statistical classification to identify pollination models. Key Results Floral attributes are correlated with bird, fly and bee pollination. Using floral attributes identified as correlating with pollinator type, bird pollination is classified with 86 % accuracy, red flowers being the most important predictor. Fly and bee pollination are classified with 78 and 69 % accuracy, but have a lack of individually important floral predictors. Excluding mixed pollination systems improved the accuracy of the prediction of both bee and fly pollination systems. Conclusions Although most epacrids have generalized pollination systems, a correlation between bird pollination and red, long-tubed epacrids is found. Statistical classification highlights the relative importance of each floral attribute in relation to pollinator type and proves useful in classifying epacrids to bird, fly and bee pollination systems. PMID:23681546

PREDICTORS OF QUALITY OF LIFE IN 165 PATIENTS WITH ACROMEGALY: RESULTS FROM A SINGLE-CENTER STUDY.

PubMed

Kreitschmann-Andermahr, Ilonka; Buchfelder, Michael; Kleist, Bernadette; Kohlmann, Johannes; Menzel, Christa; Buslei, Rolf; Kołtowska-Häggsträm, Maria; Strasburger, Christian; Siegel, Sonja

2017-01-01

Even if treated, acromegaly has a considerable impact on patient quality of life (QoL); despite this, the exact clinical determinants of QoL in acromegaly are unknown. This study retrospectively examines a cohort of treated patients with acromegaly, with the aim of identifying these determinants. Retrospective survey analysis, with 165 patients included in the study. All patients completed a survey, which included demographic data and the clinical details of their disease, the Short Form-36 Health Survey (SF-36), the revised Beck Depression Inventory (BDI-II), and the Bern Embitterment Inventory (BEI). Stepwise regression was used to identify predictors of QoL. The strongest predictors of the physical component score of the SF-36 were (in order of declining strength of association): Delay between first presentation of the disease and diagnosis, body mass index (BMI), number of doctors visited before the diagnosis of acromegaly, and age at diagnosis. For the mental component score, the strongest predictors were: number of doctors visited, previous radiotherapy, and age at study entry; and, for the BDI-II score: number of doctors visited, previous radiotherapy, age at study entry, and employment status at the time of diagnosis. The following were predictors of the BEI score: number of doctors visited, and age at study entry. Diagnostic delay and lack of diagnostic acumen in medical care provision are strong predictors of poor QoL in patients with acromegaly. Other identified parameters are radiotherapy, age, BMI, and employment status. An efficient acromegaly service should address these aspects when devising disease management plans. BDI-II = Beck Depression Inventory II BEI = Bern Embitterment Inventory BMI = body mass index IGF-1 = insulin-like growth factor 1 MCS = mental component summary (score) PCS = physical component summary (score) QoL = quality of life SDS = standard deviation score SF-36 = Short Form-36 Health Survey.

Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder

PubMed Central

Park, Caroline; Rosenblat, Joshua D.; Subramaniapillai, Mehala; Zuckerman, Hannah; Fus, Dominika; Lee, Yena L.; Pan, Zihang; Brietzke, Elisa; Mansur, Rodrigo B.; Cha, Danielle S.; Lui, Leanna M. W.; McIntyre, Roger S.

2018-01-01

Objectives: Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. Method: Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors, and response and/or remission. Results: Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors. Conclusions: A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information. PMID:29673146

Trends, etiologies, and predictors of 90-day readmission after percutaneous ventricular assist device implantation: A national population-based cohort study.

PubMed

Virk, Hafeez Ul Hassan; Tripathi, Byomesh; Gupta, Shuchita; Agrawal, Akanksha; Dayanand, Sandeep; Inayat, Faisal; Krittanawong, Chayakrit; Ghani, Ali Raza; Zabad, Mohammad Nour; Krishnamoorthy, Parasuram Melarcode; Amanullah, Aman; Pressman, Gregg; Witzke, Christian; Janzer, Sean; George, Jon; Kalra, Sanjog; Figueredo, Vincent

2018-05-01

Percutaneous ventricular assist devices (pVADs) are indicated to provide hemodynamic support in high-risk percutaneous interventions and cardiogenic shock. However, there is a paucity of published data regarding the etiologies and predictors of 90-day readmissions following pVAD use. We studied the data from the US Nationwide Readmissions Database (NRD) for the years 2013 and 2014. Patients with a primary discharge diagnosis of pVAD use were collected by searching the database for International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) procedural code 37.68 (Impella and TandemHeart devices). Amongst this group, we examined 90-day readmission rates. Comorbidities as identified by "CM_" variables provided by the NRD were also extracted. The Charlson Comorbidity Index was calculated using appropriate ICD-9-CM codes, as a secondary diagnosis. A 2-level hierarchical logistic regression model was then used to identify predictors of 90-day readmission following pVAD use. Records from 7074 patients requiring pVAD support during hospitalization showed that 1562 (22%) patients were readmitted within 90 days. Acute decompensated heart failure (22.6%) and acute coronary syndromes (11.2%) were the most common etiologies and heart failure (odds ratio [OR]: 1.39, 95% confidence interval [CI]: 1.17-1.67), chronic obstructive pulmonary disease (OR: 1.26, 95% CI: 1.07-1.49), peripheral vascular disease (OR: 1.305, 95% CI: 1.09-1.56), and discharge into short- or long-term facility (OR: 1.28, 95% CI: 1.08-1.51) were independently associated with an increased risk of 90-day readmission following pVAD use. This study identifies important etiologies and predictors of short-term readmission in this high-risk patient group that can be used for risk stratification, optimizing discharge, and healthcare transition decisions. © 2018 Wiley Periodicals, Inc.

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.

Vaccination in oncology practice and predictors.

PubMed

Alkan, Ali; Karcı, Ebru; Yaşar, Arzu; Tuncay, Gülseren; Köksoy, Elif Berna; Ürün, Muslih; Şenler, Filiz Çay; Demirkazık, Ahmet; Utkan, Güngör; Akbulut, Hakan; Ürün, Yüksel

2017-09-01

Despite, vaccination is a highly effective and widely recommended for prevention of certain infections, vaccination coverage is very low. The purposes of this study were to evaluate the attitudes of medical oncologists towards vaccination and to identify predictors of intention to recommend vaccination in patients with cancer. A structured questionnaire is formed to evaluate the daily practice of vaccination. Turkish medical oncologists were invited to this study via email, SMS, or phone call. Questionnaire was filled out and the data were stored in an online survey platform. Two hundred seventy-three medical oncologists participated in the survey. Influenza, Pneumococcus, and hepatitis B were the most commonly recommended vaccines (87.1, 72.8, 67.0%, respectively). Patients with lung cancer, lymphoma and breast cancer were the main malignancies that medical oncologists suggest vaccination (68.1, 68.1, 24.6%, respectively). The most common times for vaccination were during remission/follow-up period (68.4%) or before beginning chemotherapy (64.1%). Only 23.4% of the physicians thought that their recommendation for vaccination was efficient and adequate. Lack of time and lack of knowledge or experience about vaccination are the most common limitations. There is a positive correlation between experience in the field and evaluating patients for vaccination (r = 0.390, p < 0.001); on the other hand, there is negative correlation between number of patients seen per day and evaluating patients for vaccination (r = -0.080, p = 0.18). Experience with autologous or allogeneic bone marrow transplant patients is related with more tendency to evaluate patients for vaccination (p < 0.001). Degree of experience in oncology especially in bone marrow transplant units and total number of patients seen per day are important predictors of vaccination practice in oncology. The frequency of recommendation increases with degree of experience, knowledge, and visit time per

Towards an understanding of dimensions, predictors, and gender gap in written composition

PubMed Central

Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy

2014-01-01

We had three aims in the present study: (1) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum based writing [CBM]) , (2) to investigate unique language and cognitive predictors of the identified dimensions, and (3) to examine gender gap in the identified dimensions of writing. These questions were addressed using data from second and third grade students (N = 494). Data were analyzed using confirmatory factor analysis and multilevel modeling. Results showed that writing quality, productivity, and CBM scoring were dissociable constructs, but that writing quality and CBM scoring were highly related (r = .82). Language and cognitive predictors differed among the writing outcomes. Boys had lower writing scores than girls even after accounting for language, reading, attention, spelling, handwriting automaticity, and rapid automatized naming. Results are discussed in light of writing evaluation and a developmental model of writing. PMID:25937667

Predictors of scoring at least 600 on COMLEX-USA Level 1: successful preparation strategies.

PubMed

Vora, Aditya; Maltezos, Nathan; Alfonzo, Lauren; Hernandez, Nilda; Calix, Erica; Fernandez, M Isabel

2013-02-01

Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 scores are an important criterion used by residency directors to make residency placement decisions. To explore the association between scoring at least 600 on COMLEX-USA Level 1 and grade point average (GPA), scores on the Medical College Admission Test (MCAT), and different test preparation strategies. Third-year osteopathic medical students at Nova Southeastern University were invited to complete a self-administered survey regarding their COMLEX-USA preparation strategies and to provide consent for the researchers to access their preclinical GPA and their MCAT and COMLEX-USA scores. Descriptive analyses were conducted to understand examination preparation procedures and resources used, and bivariate analyses were conducted to identify the statisically significant predictors of scoring 600 or higher. Two separate logistic regressions were also run. The first included all of the statisically significant factors that emerged from the bivariate analyses, and the second examined which candidate predictors remained statistically significant once the effects of GPA and MCAT scores were removed. One hundred twenty-two students completed the survey, and 113 (93%) provided informed consent to access their preclinical GPA and their MCAT and COMLEX-USA scores. In the first regression, scoring 600 or higher was associated with a higher GPA (P<.02), a higher MCAT score (P<.05), earlier preparation initiation (P<.05), and not ranking the Comprehensive Osteopathic Medical Self-Assessment Examination (COMSAE) as the most helpful practice examination (P<.04). In the second regression, scoring 600 or higher was associated with earlier initiation of examination preparation (P<.01) and not ranking COMBANK (question bank for COMLEX-USA) as the most helpful question bank (P<.03). Among the different examination preparation methods, the specific resources ranked as most helpful were First Aid for the USMLE

Predictors of involvement in the juvenile justice system among psychiatric hospitalized adolescents.

PubMed

Cropsey, Karen L; Weaver, Michael F; Dupre, Madeleine A

2008-07-01

Several risk factors for juvenile justice involvement have been identified in previous research among delinquents and include mental illness, substance use, trauma and abuse, family dysfunction, poor parenting, school problems, and aggressive behavior. However, most of these predictors resulted from studies among adolescents incarcerated in the juvenile justice system. We were interested in finding out the prevalence rates of juvenile justice involvement among psychiatric inpatient adolescents and determining predictors of juvenile justice involvement in this high-risk group. Six hundred and thirty-six medical records from adolescents ages 12-17 years who were consecutively admitted to one of two psychiatric inpatient units between July 1, 2003 and June 30, 2004 were examined. Almost half (43.6%) of hospitalized adolescents had a history of juvenile justice involvement. Logistic regression analysis was conducted to determine predictors of juvenile justice involvement. Significant predictors of juvenile justice involvement included being male, parental legal history, family substance abuse history, disruptive disorder, cocaine use, being sexually active, and having a history of aggressive behavior. Adolescents in mental health or substance abuse treatment settings should be screened for juvenile justice involvement and appropriate referrals made to prevent worsening problems for at-risk youth.

Emergency department presentations in infants: Predictors from an Australian birth cohort.

PubMed

Crilly, Julia; Cameron, Cate M; Scuffham, Paul A; Good, Norm; Scott, Rani; Mihala, Gabor; Sweeny, Amy; Keijzers, Gerben

2017-10-01

Infants under 12 months of age are disproportionately represented amongst emergency department (ED) presentations, and infants are more likely to be frequent ED users. This study aimed to describe and identify psychosocial predictors of ED presentation in infants. A prospective birth cohort from Queensland and New South Wales (Environments for Healthy Living) was used to understand infant health service use. Baseline and 12-month questionnaire data pertaining to children born between 2006 and 2011 were used to identify predictors of ED presentation, using multiple regression analysis. Of the 2184 children in the cohort with available baseline and 12-month data, 579 (27%) presented at least once to an ED during their first 12 months of life. Statistically significant predictors of ED presentation in the multivariate analysis included the mother having asthma (odds ratio (OR) 1.67, 95% confidence interval (CI) 1.15-2.39) and a higher Kessler-6 score (a measure of psychological distress) of the primary carer at baseline (OR 1.04, 95% CI 1.01-1.08). Maternal education level was not associated with ED presentations of infants. This study describes maternal and child factors of children who present to the ED in the first year of life. Factors related to an infant's support system were found to be predictors for an ED presentation in the first year of life. This study emphasises the need to review the maternal medical history and psychosocial situation. There may be benefits for health-care practitioners to take the opportunity (such as during routine childhood immunisation) to perform a brief screening tool (such as the Kessler-6) to understand psychological distress experienced by mothers. This may influence the likelihood of a child presenting to an ED within the first 12 months of life. © 2017 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).

Predictors of adolescent compliance with oral hygiene instructions during two-arch multibracket fixed orthodontic treatment.

PubMed

Al-Jewair, Thikriat S; Suri, Sunjay; Tompson, Bryan D

2011-05-01

To determine compliance with oral hygiene instructions (OHI) of adolescents receiving two-arch multibracket fixed appliances and identify its predictive factors. Forty-one patients in a longitudinal study were provided standardized OHI and assessed at baseline: before bonding (T0mo), approximately 30 days after bonding (T1mo), and approximately 150 days (T5mo) after bonding straight-wire appliances simultaneously in the maxillary and mandibular arches. Oral hygiene (OH) performance was measured using plaque and gingival indices. Compliance predictors were identified from questionnaires administered to patients and their parents and from patients' charts. OH performance worsened from T0mo to T1mo but then improved from T1mo to T5mo. At T5mo, 73% of the sample had good OH. Univariate analyses found perceived severity of malocclusion, school performance, and parental marital status to be significant predictors of good OH performance at T5mo. Multiple logistic regressions identified having married parents and good academic performance in school as significant predictors. In the sample studied, after initially worsening, compliance with OHI improved at 5 months after bonding. Adolescents with married parents and those reporting good academic performance in school were found more likely to have complied with OHI provided at baseline and to perform better OH.

Identifying the domains of context important to implementation science: a study protocol.

PubMed

Squires, Janet E; Graham, Ian D; Hutchinson, Alison M; Michie, Susan; Francis, Jill J; Sales, Anne; Brehaut, Jamie; Curran, Janet; Ivers, Noah; Lavis, John; Linklater, Stefanie; Fenton, Shannon; Noseworthy, Thomas; Vine, Jocelyn; Grimshaw, Jeremy M

2015-09-28

There is growing recognition that "context" can and does modify the effects of implementation interventions aimed at increasing healthcare professionals' use of research evidence in clinical practice. However, conceptual clarity about what exactly comprises "context" is lacking. The purpose of this research program is to develop, refine, and validate a framework that identifies the key domains of context (and their features) that can facilitate or hinder (1) healthcare professionals' use of evidence in clinical practice and (2) the effectiveness of implementation interventions. A multi-phased investigation of context using mixed methods will be conducted. The first phase is a concept analysis of context using the Walker and Avant method to distinguish between the defining and irrelevant attributes of context. This phase will result in a preliminary framework for context that identifies its important domains and their features according to the published literature. The second phase is a secondary analysis of qualitative data from 13 studies of interviews with 312 healthcare professionals on the perceived barriers and enablers to their application of research evidence in clinical practice. These data will be analyzed inductively using constant comparative analysis. For the third phase, we will conduct semi-structured interviews with key health system stakeholders and change agents to elicit their knowledge and beliefs about the contextual features that influence the effectiveness of implementation interventions and healthcare professionals' use of evidence in clinical practice. Results from all three phases will be synthesized using a triangulation protocol to refine the context framework drawn from the concept analysis. The framework will then be assessed for content validity using an iterative Delphi approach with international experts (researchers and health system stakeholders/change agents). This research program will result in a framework that identifies the

Life Span Studies of ADHD—Conceptual Challenges and Predictors of Persistence and Outcome

PubMed Central

Caye, Arthur; Swanson, James; Thapar, Anita; Sibley, Margaret; Arseneault, Louise; Hechtman, Lily; Arnold, L. Eugene; Niclasen, Janni; Moffitt, Terrie

2018-01-01

There is a renewed interest in better conceptualizing trajectories of attention-deficit/hyperactivity disorder (ADHD) from childhood to adulthood, driven by an increased recognition of long-term impairment and potential persistence beyond childhood and adolescence. This review addresses the following major issues relevant to the course of ADHD in light of current evidence from longitudinal studies: (1) conceptual and methodological issues related to measurement of persistence of ADHD, (2) estimates of persistence rate from childhood to adulthood and its predictors, (3) long-term negative outcomes of childhood ADHD and their early predictors, and (4) the recently proposed new adult-onset ADHD. Estimates of persistence vary widely in the literature, and diagnostic criteria, sample characteristics, and information source are the most important factors explaining variability among studies. Evidence indicates that ADHD severity, comorbid conduct disorder and major depressive disorder, and treatment for ADHD are the main predictors of ADHD persistence from childhood to adulthood. Comorbid conduct disorder and ADHD severity in childhood are the most important predictors of adverse outcomes in adulthood among children with ADHD. Three recent population studies suggested the existence of a significant proportion of individuals who report onset of ADHD symptoms and impairments after childhood. Finally, we highlight areas for improvement to increase our understanding of ADHD across the life span. PMID:27783340

Predictors and risk factors for the intestinal shedding of Escherichia coli O157 among working donkeys (Equus asinus) in Nigeria

PubMed Central

Jedial, Jesse T.; Shittu, Aminu; Tambuwal, Faruk M.; Abubakar, Mikail B.; Garba, Muhammed K.; Kwaga, Jacob P.; Fasina, Folorunso O.

2015-01-01

Objectives Escherichia coli are an important group of bacteria in the normal gastrointestinal system but can sometimes cause infections in domestic animals and man. Donkeys are routinely used as multipurpose animal but details of burdens of potentially infectious bacteria associated with it are limited. The prevalence and associations between intestinal shedding of E. coli O157 and animal characteristics and management factors were studied among 240 randomly selected working donkeys in north-western Nigeria. Design Four local government areas, of Sokoto State in north-western Nigeria were recruited in this study. A multistage randomised cluster design was used to select subjects and donkey owners within selected zones. Confirmation of infection was based on bacterial culture, isolation and biochemical test for E. coli O157 from faecal samples. Results Of the total bacteria isolated, 203 of the 329 (61.70 per cent) were E. coli, 76 of which was E. coli serotype O157. A multivariable logistic regression model was used to examine the relation between intestinal shedding of E. coli O157 and selected variables. The analysis yielded five potential predictors of shedding: soft faeces in donkeys, Akaza and Fari ecotypes of donkey were positive predictors while maize straw as feed and sampling during the cold dry period were negative predictors. Conclusions This study concludes that controlling intestinal shedding of E. coli O157 among working donkeys in Nigeria is possible using the identified predictors in planning appropriate interventions to reduced human risk of infection. PMID:26392892

Longitudinal predictors of subjective recovery in psychosis.

PubMed

Law, Heather; Shryane, Nick; Bentall, Richard P; Morrison, Anthony P

2016-07-01

Research has highlighted the importance of recovery as defined by the service user, and suggests a link to negative emotion, although little is known about the role of negative emotion in predicting subjective recovery. To investigate longitudinal predictors of variability in recovery scores with a focus on the role of negative emotion. Participants (n = 110) with experience of psychosis completed measures of psychiatric symptoms, social functioning, subjective recovery, depression, hopelessness and self-esteem at baseline and 6 months later. Path analysis was used to examine predictive factors for recovery and negative emotion. Subjective recovery scores were predicted by negative emotion, positive self-esteem and hopelessness, and to a lesser extent by symptoms and functioning. Current recovery score was not predicted by past recovery score after accounting for past symptoms, current hopelessness and current positive self-esteem. Psychosocial factors and negative emotion appear to be the strongest longitudinal predictors of variation in subjective recovery, rather than psychiatric symptoms. © The Royal College of Psychiatrists 2016.

Predictors of outcomes in outpatients with anorexia nervosa - Results from the ANTOP study.

PubMed

Wild, Beate; Friederich, Hans-Christoph; Zipfel, Stephan; Resmark, Gaby; Giel, Katrin; Teufel, Martin; Schellberg, Dieter; Löwe, Bernd; de Zwaan, Martina; Zeeck, Almut; Herpertz, Stephan; Burgmer, Markus; von Wietersheim, Jörn; Tagay, Sefik; Dinkel, Andreas; Herzog, Wolfgang

2016-10-30

This study aimed to determine predictors of BMI and recovery for outpatients with anorexia nervosa (AN). Patients were participants of the ANTOP (Anorexia Nervosa Treatment of Out-Patients) trial and randomized to focal psychodynamic therapy (FPT), enhanced cognitive behavior therapy (CBT-E), or optimized treatment as usual (TAU-O). N=169 patients participated in the one-year follow-up (T4). Outcomes were the BMI and global outcome (recovery/partial syndrome/full syndrome) at T4. We examined the following baseline variables as possible predictors: age, BMI, duration of illness, subtype of AN, various axis I diagnoses, quality of life, self-esteem, and psychological characteristics relevant to AN. Linear and logistic regression analyses were conducted to identify the predictors of the BMI and global outcome. The strongest positive predictor for BMI and recovery at T4 was a higher baseline BMI of the patients. Negative predictors for BMI and recovery were a duration of illness >6 years and a lifetime depression diagnosis at baseline. Additionally, higher bodily pain was significantly associated with a lower BMI and self-esteem was a positive predictor for recovery at T4. A higher baseline BMI and shorter illness duration led to a better outcome. Further research is necessary to investigate whether or not AN patients with lifetime depression, higher bodily pain, and lower self-esteem may benefit from specific treatment approaches. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Predictors of suicide ideation among older adults with bipolar disorder

PubMed Central

Heisel, Marnin J.; Canham, Sarah L.; Sixsmith, Andrew

2017-01-01

Objectives Bipolar disorder (BD) carries the greatest risk of death by suicide of all psychiatric conditions as 25%–50% of those with BD will make one or more suicide attempt, and about 15% will intentionally end their lives. Among young adults with BD, substance misuse, medication non-adherence, age at onset, and comorbid psychiatric conditions each predict self-harm. It is currently unclear if these same factors or others predict suicide ideation among older adults with BD. Methods We recruited a global sample of 220 older adults with BD over 19 days using socio-demographically targeted, social media advertising and online data collection (Mean = 58.50, SD = 5.42; range 50 to 81 years). Path analyses allowed us to identify direct and indirect predictors of suicide ideation among older adults with BD. Results Cognitive failures (perception, memory, and motor function), depressive symptoms, alcohol misuse, and dissatisfaction with life as direct predictors of suicide ideation; duration of BD symptoms and medication non-adherence emerged as indirect predictors. Of note, the significant impact of sleep on suicide ideation is indirect via depressive symptoms, cognitive failures, medication non-adherence and life dissatisfaction. Conclusions As with young adults with BD, alcohol misuse and medication non-adherence emerged as significant predictors of suicide ideation. In addition, cognitive failures directly and indirectly predict suicide ideation in this sample of older adults with BD. Population aging and treatment efficacy are leading to ever growing numbers of older adults with BD. Both direct and indirect predictors of suicide ideation need to be considered in future BD research and treatment planning. PMID:29145409

Predictors of Burnout Among Nurses in Taiwan.

PubMed

Lee, Huan-Fang; Yen, Miaofen; Fetzer, Susan; Chien, Tsair Wei

2015-08-01

Nurse burnout is a crucial issue for health care professionals and impacts nurse turnover and nursing shortages. Individual and situational factors are related to nurse burnout with predictors of burnout differing among cultures and health care systems. The predictors of nurse burnout in Asia, particularly Taiwan, are unknown. The purpose of this study was to investigate the predictors of burnout among a national sample of nurses in Taiwan. A secondary data analysis of a nationwide database investigated the predictors of burnout among 1,846 nurses in Taiwan. Hierarchical regression analysis determined the relationship between predictors and burnout. Predictors of Taiwanese nurse burnout were age, physical/psychological symptoms, job satisfaction, work engagement, and work environment. The most significant predictors were physical/psychological symptoms and work engagement. The variables explained 35, 39, and 18 % of the emotional exhaustion, personal accomplishment, and depersonalization variance for 54 % of the total variance of burnout. Individual characteristics and nurse self-awareness, especially work, engagement can impact Taiwanese nurses' burnout. Nurse burnout predictors provide administrators with information to develop strategies including education programs and support services to reduce nurse burnout.

Predictors for Associate Degree Nursing Students' First Attempt on NCLEX-RN

ERIC Educational Resources Information Center

Smith, Barbara A.

2011-01-01

Nursing program administrators need to identify significant predictors for associate degree nursing (ADN) students to determine characteristics of those who will most likely pass the NCLEX-RN® on the first attempt. The purpose of the quantitative study with a correlation prediction design was to determine if a relationship existed between the…

Predictors of mental health and quality of life in male tortured refugees.

PubMed

Carlsson, Jessica M; Mortensen, Erik L; Kastrup, Marianne

2006-01-01

Some of the most frequently reported mental health problems in traumatized refugees are depression, anxiety and post-traumatic stress disorder (PTSD). The aim of this paper is to describe a group of tortured refugees referred to the Rehabilitation and Research Centre for Torture Victims (RCT) and to study the importance of past trauma/torture and post-migratory factors for the present symptoms of PTSD, depression, anxiety and for health-related quality of life. The sample comprises 63 male tortured refugees admitted to a pre-treatment assessment at RCT. Data on personal background, trauma, present situation in Denmark, symptoms of depression, anxiety (Hopkins Symptom Checklist-25, HSCL-25, and Hamilton Depression Scale, HDS), PTSD (Harvard Trauma Questionnaire, HTQ), and on health-related quality of life (WHO Quality of life-Bref, WHOQOL-Bref) were collected through self-administered questionnaires and structured and semi-structured interviews. The scores in the questionnaires measuring emotional distress were high. Previous torture and trauma, lower education, fewer social contacts, no occupation and pain were identified as significant predictors of emotional distress. Few social contacts was a significant predictor of a lower health-related quality of life. Even after many years, past torture is significantly associated with emotional distress. Post-migratory factors are also significantly associated with emotional distress and health-related quality of life, and potentially modifiable factors, such as social relations and occupation, are of special interest.

Predictors of social anxiety in an opioid dependent sample and a control sample.

PubMed

Shand, Fiona L; Degenhardt, Louisa; Nelson, Elliot C; Mattick, Richard P

2010-01-01

Compared to other mental health problems, social anxiety is under-acknowledged amongst opioid dependent populations. This study aimed to assess levels of social anxiety and identify its predictors in an opioid dependent sample and a matched control group. Opioid dependent participants (n=1385) and controls (n=417) completed the Social Interaction Anxiety Scale (SIAS), the Social Phobia Scale (SPS) and a diagnostic interview. Regression analyses were used to test a range of predictors of social anxiety. Opioid dependent cases had higher mean scores on both scales compared to controls. Predictors of social anxiety centred on emotional rejection in childhood, either by parents or peers. For opioid dependent cases, but not controls, lifetime non-opioid substance dependence (cannabis, sedatives, and tobacco) was associated with higher levels of social anxiety. However, much of the variance in social anxiety remains unexplained for this population.

Predictors of social anxiety in an opioid dependent sample and a control sample

PubMed Central

Shand, Fiona L.; Degenhardt, Louisa; Nelson, Elliot C.; Mattick, Richard P.

2010-01-01

Compared to other mental health problems, social anxiety is under-acknowledged amongst opioid dependent populations. This study aimed to assess levels of social anxiety and identify its predictors in an opioid dependent sample and a matched control group. Opioid dependent participants (n = 1385) and controls (n = 417) completed the Social Interaction Anxiety Scale (SIAS), the Social Phobia Scale (SPS) and a diagnostic interview. Regression analyses were used to test a range of predictors of social anxiety. Opioid dependent cases had higher mean scores on both scales compared to controls. Predictors of social anxiety centred on emotional rejection in childhood, either by parents or peers. For opioid dependent cases, but not controls, lifetime non-opioid substance dependence (cannabis, sedatives, and tobacco) was associated with higher levels of social anxiety. However, much of the variance in social anxiety remains unexplained for this population. PMID:19775865

Correlates and Predictors of Resilience among Baccalaureate Nursing Students.

PubMed

Mathad, Monali Devaraj; Pradhan, Balaram; Rajesh, Sasidharan K

2017-02-01

A growing body of literature recognizes the importance of resilience in the nursing profession. Both mindfulness and resilience aid in handling stress, stress increases the risk of rumination and/or worry especially in females and they are more empathetic than other healthcare students. To identify correlates and predictors of the resilience among nursing students. This is a descriptive correlation study and we have recruited 194 participants (1-4 th year B.Sc Nursing) from Government College of Nursing and NIMHANS College of Nursing in Bangalore, India. The following instruments were used to collect the data, Freiburg Mindfulness Inventory (FMI), Toronto Empathy Questionnaire (TEQ), Perseverative Thinking Questionnaire (PTQ) and Connor-Davidson Resilience Scale (CD-RISC). Data was analysed using Pearson's correlation test and multiple regression analysis. Resilience is significantly correlated with mindfulness, perseverative thinking and empathy in nursing students. Based on regression analysis this model accounted for almost 33% of variance in resilience. This result is of interest as mindfulness alone explained 23% of the variance and unproductive Repeated Negative Thinking (RNT) and RNT consuming mental capacity predicted 8% and 2% respectively. These results support the importance of resilience and mindfulness in nursing students. Hence, resilience and/or mindfulness enhancing interventions should be inculcated in nursing education.

Hospital prescribing errors: epidemiological assessment of predictors

PubMed Central

Fijn, R; Van den Bemt, P M L A; Chow, M; De Blaey, C J; De Jong-Van den Berg, L T W; Brouwers, J R B J

2002-01-01

Aims To demonstrate an epidemiological method to assess predictors of prescribing errors. Methods A retrospective case-control study, comparing prescriptions with and without errors. Results Only prescriber and drug characteristics were associated with errors. Prescriber characteristics were medical specialty (e.g. orthopaedics: OR: 3.4, 95% CI 2.1, 5.4) and prescriber status (e.g. verbal orders transcribed by nursing staff: OR: 2.5, 95% CI 1.8, 3.6). Drug characteristics were dosage form (e.g. inhalation devices: OR: 4.1, 95% CI 2.6, 6.6), therapeutic area (e.g. gastrointestinal tract: OR: 1.7, 95% CI 1.2, 2.4) and continuation of preadmission treatment (Yes: OR: 1.7, 95% CI 1.3, 2.3). Conclusions Other hospitals could use our epidemiological framework to identify their own error predictors. Our findings suggest a focus on specific prescribers, dosage forms and therapeutic areas. We also found that prescriptions originating from general practitioners involved errors and therefore, these should be checked when patients are hospitalized. PMID:11874397

Predictors of Condom Use Among Mexican Adolescents

PubMed Central

Alvarez, Carmen; Villarruel, Antonia M.; Zhou, Yan; Gallegos, Esther

2012-01-01

Mexican adolescents continue to be at increased risk for HIV infection due to inconsistent condom use. The purpose of this study was to identify predictors of condom use intentions and condom use among Mexican adolescents who participated in a randomized control trial designed to test a sexual-risk reduction intervention. Data from sexually active adolescents 17 to 21 years (n = 157) of age who were assigned to the control group were analyzed 48 months post intervention. Regression analysis showed that positive attitudes toward condoms, subjective norms, and control beliefs significantly explained intention to use condoms (R2 = .75, p < .001). Attitudes toward condoms (β = .67, p < .001), technical skills (β = .13, p = .01), and condom use self-efficacy (β = .24, p < .001) were significant predictors of condom use intention. Compared to those who inconsistently used condoms, adolescents who used condoms consistently had greater intention to use condoms and greater impulse control. Findings suggest that attitudes and control beliefs should be further explored with Mexican adolescents in order to support consistent condom use. PMID:20949835

Motivational predictors of coping with academic examination.

PubMed

Doron, Julie; Stephan, Yannick; Maiano, Christophe; Le Scanff, Christine

2011-01-01

The present study focused on the motivational predictors of coping with academic examination through the test of the contribution of self-determination for academic studies and achievement goals. Coping strategies, academic motivation and achievement goals were assessed among 199 undergraduate students. Regression analysis revealed that problem-focused coping is positively predicted by identified regulation and negatively by amotivation, whereas emotion-focused coping is positively predicted by introjected regulation and amotivation. Mastery approach goals contributed positively to problem-focused coping. Identified regulation and mastery approach goals made a unique positive contribution to problem-focused coping, and amotivation was negatively related. Students' coping actions may vary according to both the reasons why they engage in academic studies and the goals they pursue in this setting.

Is there more to the clinical outcome in posttraumatic reconstruction of the inferior and medial orbital walls than accuracy of implant placement and implant surface contouring? A prospective multicenter study to identify predictors of clinical outcome.

PubMed

Zimmerer, Rüdiger M; Gellrich, Nils-Claudius; von Bülow, Sophie; Strong, Edward Bradley; Ellis, Edward; Wagner, Maximilian E H; Sanchez Aniceto, Gregorio; Schramm, Alexander; Grant, Michael P; Thiam Chye, Lim; Rivero Calle, Alvaro; Wilde, Frank; Perez, Daniel; Bittermann, Gido; Mahoney, Nicholas R; Redondo Alamillos, Marta; Bašić, Joanna; Metzger, Marc; Rasse, Michael; Dittman, Jan; Rometsch, Elke; Espinoza, Kathrin; Hesse, Ronny; Cornelius, Carl-Peter

2018-04-01

Reconstruction of orbital wall fractures is demanding and has improved dramatically with the implementation of new technologies. True-to-original accuracy of reconstruction has been deemed essential for good clinical outcome, and reasons for unfavorable clinical outcome have been researched extensively. However, no detailed analysis on the influence of plate position and surface contour on clinical outcome has yet been published. Data from a previous study were used for an ad-hoc analysis to identify predictors for unfavorable outcome, defined as diplopia or differences in globe height and/or globe projection of >2 mm. Presumed predictors were implant surface contour, aberrant implant dimension or position, accuracy of reconstructed orbital volume, and anatomical fracture topography according to the current AO classification. Neither in univariable nor in multivariable regression models were unfavorable clinical outcomes associated with any of the presumed radiological predictors, and no association of the type of implant, i.e., standard preformed, CAD-based individualized and non-CAD-based individualized with its surface contour could be shown. These data suggest that the influence of accurate mechanical reconstruction on clinical outcomes may be less predictable than previously believed, while the role of soft-tissue-related factors may have been underestimated. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Anthropometry as a predictor of high speed performance.

PubMed

Caruso, J F; Ramey, E; Hastings, L P; Monda, J K; Coday, M A; McLagan, J; Drummond, J

2009-07-01

To assess anthropometry as a predictor of high-speed performance, subjects performed four seated knee- and hip-extension workouts with their left leg on an inertial exercise trainer (Impulse Technologies, Newnan GA). Workouts, done exclusively in either the tonic or phasic contractile mode, entailed two one-minute sets separated by a 90-second rest period and yielded three performance variables: peak force, average force and work. Subjects provided the following anthropometric data: height, weight, body mass index, as well as total, upper and lower left leg lengths. Via multiple regression, anthropometry attempted to predict the variance per performance variable. Anthropometry explained a modest (R2=0.27-0.43) yet significant degree of variance from inertial exercise trainer workouts. Anthropometry was a better predictor of peak force variance from phasic workouts, while it accounted for a significant degree of average force and work variance solely from tonic workouts. Future research should identify variables that account for the unexplained variance from high-speed exercise performance.

Predictors of Self-Reported Family Health History of Breast Cancer.

PubMed

Ricks-Santi, Luisel J; Thompson, Nicole; Ewing, Altovise; Harrison, Barbara; Higginbotham, Kimberly; Spencer, Cherie; Laiyemo, Adeyinka; DeWitty, Robert; Wilson, Lori; Horton, Sara; Dunmore-Griffith, Jacqueline; Williams, Carla; Frederick, Wayne

2016-10-01

The objective of this study was to identify predictors of self-reported family health history of breast cancer in an ethnically diverse population of women participating in a breast cancer screening program. Participants completed a self-administered questionnaire about their demography, health, breast health and family health history of breast cancer. The association between family health history of breast cancer and categorical variables were analyzed using the T test, chi square, and multi-nominal logistic regression. Those who were least likely to report a family history of cancer were African Americans (p = 0.02), and immigrant women from South America (p < 0.001) and Africa (p = 0.04). However, 34.4 % reported having a second-degree maternal relative with breast cancer compared to 6.9 % who reported having a second degree paternal relative with breast cancer. Therefore, there is a need to increase efforts to educate families about the importance of collecting and sharing one's family health history.

Coping strategies and self-efficacy as predictors of outcome in osteoarthritis: a systematic review.

PubMed

Benyon, Kay; Hill, Susan; Zadurian, Natalie; Mallen, Christian

2010-12-01

 Systematically to review the literature, investigating the prognostic value of self-efficacy and coping strategies used by adults with osteoarthritis (OA) recruited within the community or primary care.  An online electronic search was performed from inception to August 2009, using EMBASE, CINAHL, PsycINFO and MEDLINE databases. A search of keywords and key authors was performed to find related articles, and experts in the field were contacted to identify additional literature. Three reviewers blindly assessed the quality of the included studies, using pre-determined criteria. Data on coping strategies and self-efficacy were extracted and tabulated.  Eight studies were identified and included in this review. Six of the papers were rated as being of acceptable methodological quality. Strong evidence was identified for the role of self-efficacy in predicting disability, but no evidence was found for the relationship between self-efficacy and pain. Although problem-solving coping had no effect on pain, there was weak evidence that active coping strategies predict increased pain and worsened mood. There was also weak evidence demonstrating that problem avoidance, wishful thinking, social withdrawal, self-criticism and turning to religion are predictors of depressed mood. This review also presents evidence for catastrophizing, self-efficacy and passive coping strategies as predictors of mood.  Coping strategies and self-efficacy are important prognostic factors for people with OA. This review highlights the need for further research to ascertain the predictive values of coping strategies that, to date, have been less well investigated. This may, in turn, result in a better understanding of the role of coping in OA and enable clinicians and patients to manage the condition more effectively. Copyright © 2010 John Wiley & Sons, Ltd.

Predictors of stroke in patients with impaired glucose tolerance: results from the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research trial.

PubMed

Preiss, David; Giles, Thomas D; Thomas, Laine E; Sun, Jie-Lena; Haffner, Steven M; Holman, Rury R; Standl, Eberhard; Mazzone, Theodore; Rutten, Guy E; Tognoni, Gianni; Chiang, Fu-Tien; McMurray, John J V; Califf, Robert M

2013-09-01

Risk factors for stroke are well-established in general populations but sparsely studied in individuals with impaired glucose tolerance. We identified predictors of stroke among participants with impaired glucose tolerance in the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) trial. Cox proportional-hazard regression models were constructed using baseline variables, including the 2 medications studied, valsartan and nateglinide. Among 9306 participants, 237 experienced a stroke over 6.4 years. Predictors of stroke included classical risk factors such as existing cerebrovascular and coronary heart disease, higher pulse pressure, higher low-density lipoprotein cholesterol, older age, and atrial fibrillation. Other factors, including previous venous thromboembolism, higher waist circumference, lower estimated glomerular filtration rate, lower heart rate, and lower body mass index, provided additional important predictive information, yielding a C-index of 0.72. Glycemic measures were not predictive of stroke. Variables associated with stroke were similar in participants with no prior history of cerebrovascular disease at baseline. The most powerful predictors of stroke in patients with impaired glucose tolerance included a combination of established risk factors and novel variables, such as previous venous thromboembolism and elevated waist circumference, allowing moderately effective identification of high-risk individuals.

Counting and RAN: Predictors of Arithmetic Calculation and Reading Fluency

ERIC Educational Resources Information Center

Koponen, Tuire; Salmi, Paula; Eklund, Kenneth; Aro, Tuija

2013-01-01

This study examined whether counting and rapid automatized naming (RAN) could operate as significant predictors of both later arithmetic calculation and reading fluency. The authors also took an important step to clarify the cognitive mechanisms underlying these predictive relationships by controlling for the effect of phonological awareness and…

Systematic review and meta-analysis of predictors of post-thyroidectomy hypocalcaemia.

PubMed

Edafe, O; Antakia, R; Laskar, N; Uttley, L; Balasubramanian, S P

2014-03-01

Hypocalcaemia is common after thyroidectomy. Accurate prediction and appropriate management may help reduce morbidity and hospital stay. The aim of this study was to perform a systematic literature review and meta-analysis of predictors of post-thyroidectomy hypocalcaemia. A systematic search of PubMed, EMBASE and the Cochrane Library databases was undertaken, and the quality of manuscripts assessed using a modified Newcastle-Ottawa Scale. Some 115 observational studies were included. The median (i.q.r.) incidence of transient and permanent hypocalcaemia was 27 (19-38) and 1 (0-3) per cent respectively. Independent predictors of transient hypocalcaemia included levels of preoperative calcium, perioperative parathyroid hormone (PTH), preoperative 25-hydroxyvitamin D and postoperative magnesium. Clinical predictors included surgery for recurrent goitre and reoperation for bleeding. A calcium level lower than 1·88 mmol/l at 24 h after surgery, identification of fewer than two parathyroid glands (PTGs) at surgery, reoperation for bleeding, Graves' disease and heavier thyroid specimens were identified as independent predictors of permanent hypocalcaemia in multivariable analysis. Factors associated with transient hypocalcaemia in meta-analyses were inadvertent PTG excision (odds ratio (OR) 1·90, 95 per cent confidence interval 1·31 to 2·74), PTG autotransplantation (OR 2·03, 1·44 to 2·86), Graves' disease (OR 1·75, 1·34 to 2·28) and female sex (OR 2·28, 1·53 to 3·40). Perioperative PTH, preoperative vitamin D and postoperative changes in calcium are biochemical predictors of post-thyroidectomy hypocalcaemia. Clinical predictors include female sex, Graves' disease, need for parathyroid autotransplantation and inadvertent excision of PTGs. © 2014 BJS Society Ltd. Published by John Wiley & Sons Ltd.

Adherence predictors in an Internet-based Intervention program for depression.

PubMed

Castro, Adoración; López-Del-Hoyo, Yolanda; Peake, Christian; Mayoral, Fermín; Botella, Cristina; García-Campayo, Javier; Baños, Rosa María; Nogueira-Arjona, Raquel; Roca, Miquel; Gili, Margalida

2018-05-01

Internet-delivered psychotherapy has been demonstrated to be effective in the treatment of depression. Nevertheless, the study of the adherence in this type of the treatment reported divergent results. The main objective of this study is to analyze predictors of adherence in a primary care Internet-based intervention for depression in Spain. A multi-center, three arm, parallel, randomized controlled trial was conducted with 194 depressive patients, who were allocated in self-guided or supported-guided intervention. Sociodemographic and clinical characteristics were gathered using a case report form. The Mini international neuropsychiatric interview diagnoses major depression. Beck Depression Inventory was used to assess depression severity. The visual analogic scale assesses the respondent's self-rated health and Short Form Health Survey was used to measure the health-related quality of life. Age results a predictor variable for both intervention groups (with and without therapist support). Perceived health is a negative predictor of adherence for the self-guided intervention when change in depression severity was included in the model. Change in depression severity results a predictor of adherence in the support-guided intervention. Our findings demonstrate that in our sample, there are differences in sociodemographic and clinical variables between active and dropout participants and we provide adherence predictors in each intervention condition of this Internet-based program for depression (self-guided and support-guided). It is important to point that further research in this area is essential to improve tailored interventions and to know specific patients groups can benefit from these interventions.

Predictors of length of stay after urogynecological surgery at a tertiary referral center.

PubMed

Gagnon, Louise-Helene; Tang, Selphee; Brennand, Erin

2017-02-01

The primary objective of this study was to determine significant predictors of length of stay (LOS) beyond the first postoperative day after urogynecological surgery. A single-center retrospective cohort study was conducted in 2015. Our study population included women who underwent inpatient pelvic reconstructive surgery. The primary outcome was LOS beyond the first postoperative day. A logistic regression analysis explored the relationship between 11 selected predictor variables [age, body mass index (BMI), American Society of Anesthesiologists (ASA) score, distance from home to hospital, length of surgery, anesthesia during surgery, route of surgical approach, trial of void recordings, choice of bladder protocol, presence of concomitant sling, surgeon], and LOS. Two hundred and sixty-three patients were included in this study. A logistic regression analysis identified route of surgery and trial of void recordings as the two statistically significant predictors of stay beyond the first postoperative day. The odds of LOS after laparoscopic or open surgery compared with vaginal surgery increased more than fivefold [laparoscopic vs. vaginal approach odds ratio (OR) 5.04, 95 % confidence interval (CI) 1.95-13.03; laparotomy vs. vaginal OR 15.56, 95 % CI 1.77-136.77] and more than threefold for a prolonged pass of the bladder protocol compared with an immediate pass (OR 3.25, 95 % CI 1.54-6.87). Our study identified route of surgery and trial of void recordings as the two predictors with the greatest impact on LOS beyond the first postoperative day. Our results warrant a larger follow-up study.

Electrocardiographic Predictors of Long-Term Cardiac Pacing Dependency Following Transcatheter Aortic Valve Implantation.

PubMed

Naveh, Sivan; Perlman, Gidon Y; Elitsur, Yair; Planer, David; Gilon, Dan; Leibowitz, David; Lotan, Chaim; Danenberg, Haim; Alcalai, Ronny

2017-02-01

Conduction disorders requiring permanent pacemaker (PPM) implantation are a known complication of transcatheter aortic valve implantation (TAVI). Indications for permanent pacing in this setting are still controversial. The study aim was to characterize the natural history of conduction disorders related to TAVI, and to identify predictors for long-term pacing dependency. Consecutive patients who underwent TAVI were included in this prospective observational study. The conduction system was investigated by reviewing 12-lead ECGs during hospitalization and up to 1-year follow-up and by analyzing pacemaker interrogation data. Multivariate analysis was performed in order to identify independent predictors for pacemaker dependency. Of 110 patients included in the analysis, 38 (34.5%) underwent PPM implantation. Of those, 26 (68.4%) had a long-term pacing dependency (required PPM), while 12 (31.6%) did not (not-required PPM). Logistic regression revealed that baseline RBBB (P = 0.01, OR = 18.0), baseline PR interval (P = 0.019, OR = 1.14), post-TAVI PR interval and the change in PR interval from baseline (P < 0.001 for both, OR = 1.17 for each 10 milliseconds increment) were independent predictors for long-term pacing dependency. A PR interval increment of greater than 28 milliseconds had the best accuracy in predicting pacemaker dependency. Increased pre- and postprocedural PR intervals and pre-existing RBBB are reliable predictors for long-term PPM dependency, while left bundle branch block or QRS width are misleading factors. Our study suggests that the decision for implanting PPM after TAVI should be based mostly on the prolongation of the PR interval. © 2016 Wiley Periodicals, Inc.

Frontline registered nurse job satisfaction and predictors over three decades: a meta-analysis from 1980 to 2009.

PubMed

Saber, Deborah A

2014-01-01

Frontline registered nurses' job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The purpose of this study was to comprehensively, quantitatively examine the largest, moderate, and smallest predictors of frontline registered nurse job satisfaction from 1980 to 2009. A non-a priori meta-analysis was used to analyze studies that met inclusion. Sixty-two studies and 27 job satisfaction predictors met inclusion for analysis. The largest effect sizes were found for task requirements (r = .61), empowerment (r = .55), and control (r = .52), and moderate effect sizes were found for 10 predictors. Fail-safe N indicates high reliability. Heterogeneity between studies was present in all of the 27 predictor analyses. The largest predictors of job satisfaction for the frontline registered nurse may be different than previously thought. Supporting past research, autonomy and stress were found to be moderate predictors of satisfaction. Heterogeneity indicates study differences or moderator influence in studies. Copyright © 2014 Elsevier Inc. All rights reserved.

Predictors of Chain Acquisition among Independent Dialysis Facilities

PubMed Central

Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C

2010-01-01

Objective To determine the predictors of chain acquisition among independent dialysis providers. Data Sources Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996–2003. Study Design Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. Data Collection The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Principal Findings Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Conclusions Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status. PMID:20148985

The relative importance of cancer-related and general health worries and distress among older adult, long-term cancer survivors.

PubMed

Deimling, Gary T; Brown, Sherri P; Albitz, Casey; Burant, Christopher J; Mallick, Nabeel

2017-02-01

This research examines the relative importance that cancer-related and non-cancer illness factors play in generating general health worries and/or cancer-related worries. The analysis also examines how these in turn impact anxiety and depression among older adult, long-term cancer survivors. Data from a longitudinal study of 245 older-adult (age 60+ years), long-term survivors (5 or more years after diagnosis) of breast, prostate, and colorectal cancer are examined to identify the measurement properties and structure of general health and cancer-related health worries. Based on that measurement analysis, structural equation models (SEM) are used to estimate the relative importance of cancer-related and other illness predictors on cancer-related worry and general health worry and how these two forms of worry affect both anxiety (POMS) and depression (CES-D). The results from the exploratory and confirmatory factor analysis of health worries identify two relatively independent measures of health worry, one of general health worry and a second of cancer-related worries that includes fears of recurrence, new cancers, and follow-up testing. SEM analyses identified the importance of current cancer-related symptoms and comorbidities on cancer-related worry. It also documents the primacy of non-cancer symptoms and general health worry as predictors of anxiety and depression among older survivors. The fact that cancer-related symptoms continue to be associated with cancer-related worries years after diagnosis speaks to the significance of these continuing sequelae. While the findings suggest the relative independence of cancer-related worries and general health worries, both are correlated with anxiety and depression. This may be particularly problematic as survivors age and symptoms related to new health problems increase, while cancer-related symptoms persist. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Clinical predictors of challenging atrioventricular node ablation procedure for rate control in patients with atrial fibrillation.

PubMed

Polin, Baptiste; Behar, Nathalie; Galand, Vincent; Auffret, Vincent; Behaghel, Albin; Pavin, Dominique; Daubert, Jean-Claude; Mabo, Philippe; Leclercq, Christophe; Martins, Raphael P

2017-10-15

Atrioventricular node (AVN) ablation is usually a simple procedure but may sometimes be challenging. We aimed at identifying pre-procedural clinical predictors of challenging AVN ablation. Patients referred for AVN ablation from 2009 to 2015 were retrospectively included. Baseline clinical data, procedural variables and outcomes of AVN ablation were collected. A "challenging procedure" was defined 1) total radiofrequency delivery to get persistent AVN block≥400s, 2) need for left-sided arterial approach or 3) failure to obtain AVN ablation. 200 patients were included (71±10years). A total of 37 (18.5%) patients had "challenging" procedures (including 9 failures, 4.5%), while 163 (81.5%) had "non-challenging" ablations. In multivariable analysis, male sex (Odds ratio (OR)=4.66, 95% confidence interval (CI): 1.74-12.46), body mass index (BMI, OR=1.08 per 1kg/m 2 , 95%CI 1.01-1.16), operator experience (OR=0.40, 95%CI 0.17-0.94), and moderate-to-severe tricuspid regurgitation (TR, OR=3.65, 95%CI 1.63-8.15) were significant predictors of "challenging" ablations. The proportion as a function of number of predictors was analyzed (from 0 to 4, including male sex, operator inexperience, a BMI>23.5kg/m 2 and moderate-to-severe TR). There was a gradual increase in the risk of "challenging" procedure with the number of predictors by patient (No predictor: 0%; 1 predictor: 6.3%; 2 predictors: 16.5%; 3 predictors: 32.5%; 4 predictors: 77.8%). Operator experience, male sex, higher BMI and the degree of TR were independent predictors of "challenging" AVN ablation procedure. The risk increases with the number of predictors by patient. Copyright © 2017. Published by Elsevier B.V.

Spatial ability as a predictor of math achievement: the importance of sex and handedness patterns.

PubMed

Casey, M B; Pezaris, E; Nuttall, R L

1992-01-01

In accordance with major theories of handedness and brain organization, differential predictors for math achievement were found as a function of sex and handedness subgroups among eighth graders. Although there was no difference in absolute levels of performance as a function of either sex or handedness, predictive structures did differ. Regression analyses showed that spatial ability predicts math achievement for: (1) girls with anomalous dominance (non-right-handers and right-handers with non-right-handed relatives), and (2) all boys (independent of handedness group). In contrast, for the standard dominance girls who are right-handed with all right-handed relatives (considered strongly left-hemisphere dominant for language), spatial ability did not predict for math achievement. These findings occurred, even when scholastic aptitude and verbal achievement factors were controlled. It was concluded that further studies of sex differences in math achievement should consider subgroup differences within the sexes, based on handedness patterns.

[The clinical predictors of heteroaggressive behaviour of the women serving sentence in penitentiary].

PubMed

Shaklein, K N; Bardenshtein, L M; Demcheva, N K

To identify clinical predictors of heteroaggressive behavior. Three hundreds and three women serving sentence in a penal colony were examined using clinical, neurologic and statistical methods. The main group consisted of 225 women with heteroaggressive behavior, the control group included 78 women without aggressive behavior. Differences between the main and control groups in the structure of mental disorders and key syndromes were revealed. The authors conclude that the states with elements of dysphoria, dysthymia, decompensation of personality disorders, which are defined in the various forms of mental pathology, are the most significant predictors of heteroaggressive behavior in women in the penal colony.

Predictors of recurrence of prolapse after procedure for prolapse and haemorrhoids.

PubMed

Festen, S; Molthof, H; van Geloven, A A W; Luchters, S; Gerhards, M F

2012-08-01

The procedure for prolapse and haemorrhoids (PPH) is an effective surgical therapy for symptomatic haemorrhoids. Compared with haemorrhoidectomy, meta-analysis has shown PPH to be less painful, with higher patient satisfaction and a quicker return to work, but at the cost of higher prolapse recurrence rates. This is the first report describing predictors of prolapse recurrence after PPH. A cohort of patients with symptomatic haemorrhoids, treated with PPH in our hospital between 2002 and 2009, was retrospectively analysed. Multivariate analysis was performed to identify patient-related and perioperative predictors associated with persisting prolapse and prolapse recurrence. In total, 159 consecutively enrolled patients were analysed. Persistence and recurrence of prolapse was observed in 16% of the patients. Increased surgical experience showed a trend towards lower recurrence rates. Multivariate analysis identified female gender, long duration of PPH surgery and the absence of muscle tissue in the resected specimen as independent predictors of postoperative persistence of prolapse of haemorrhoids. The absence of prior treatment with rubber band ligation (RBL) as well as increased PPH experience at the hospital showed a trend towards a higher rate of prolapse recurrence. In order to reduce recurrence of prolapse, PPH should be performed by a surgeon with adequate PPH experience, patients should be treated with RBL prior to PPH and a resection of mucosa with underlying muscle fibres should be strived for. © 2011 The Authors. Colorectal Disease © 2011 The Association of Coloproctology of Great Britain and Ireland.

Unique genetic loci identified for emotional behavior in control and chronic stress conditions.

PubMed

Carhuatanta, Kimberly A K; Shea, Chloe J A; Herman, James P; Jankord, Ryan

2014-01-01

An individual's genetic background affects their emotional behavior and response to stress. Although studies have been conducted to identify genetic predictors for emotional behavior or stress response, it remains unknown how prior stress history alters the interaction between an individual's genome and their emotional behavior. Therefore, the purpose of this study is to identify chromosomal regions that affect emotional behavior and are sensitive to stress exposure. We utilized the BXD behavioral genetics mouse model to identify chromosomal regions that predict fear learning and emotional behavior following exposure to a control or chronic stress environment. 62 BXD recombinant inbred strains and C57BL/6 and DBA/2 parental strains underwent behavioral testing including a classical fear conditioning paradigm and the elevated plus maze. Distinct quantitative trait loci (QTLs) were identified for emotional learning, anxiety and locomotion in control and chronic stress populations. Candidate genes, including those with already known functions in learning and stress were found to reside within the identified QTLs. Our data suggest that chronic stress history reveals novel genetic predictors of emotional behavior.

Unique genetic loci identified for emotional behavior in control and chronic stress conditions

PubMed Central

Carhuatanta, Kimberly A. K.; Shea, Chloe J. A.; Herman, James P.; Jankord, Ryan

2014-01-01

An individual's genetic background affects their emotional behavior and response to stress. Although studies have been conducted to identify genetic predictors for emotional behavior or stress response, it remains unknown how prior stress history alters the interaction between an individual's genome and their emotional behavior. Therefore, the purpose of this study is to identify chromosomal regions that affect emotional behavior and are sensitive to stress exposure. We utilized the BXD behavioral genetics mouse model to identify chromosomal regions that predict fear learning and emotional behavior following exposure to a control or chronic stress environment. 62 BXD recombinant inbred strains and C57BL/6 and DBA/2 parental strains underwent behavioral testing including a classical fear conditioning paradigm and the elevated plus maze. Distinct quantitative trait loci (QTLs) were identified for emotional learning, anxiety and locomotion in control and chronic stress populations. Candidate genes, including those with already known functions in learning and stress were found to reside within the identified QTLs. Our data suggest that chronic stress history reveals novel genetic predictors of emotional behavior. PMID:25374516

Permutation importance: a corrected feature importance measure.

PubMed

Altmann, André; Toloşi, Laura; Sander, Oliver; Lengauer, Thomas

2010-05-15

In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support vector machines and RandomForest (RF) models. Recently, it has been observed that RF models are biased in such a way that categorical variables with a large number of categories are preferred. In this work, we introduce a heuristic for normalizing feature importance measures that can correct the feature importance bias. The method is based on repeated permutations of the outcome vector for estimating the distribution of measured importance for each variable in a non-informative setting. The P-value of the observed importance provides a corrected measure of feature importance. We apply our method to simulated data and demonstrate that (i) non-informative predictors do not receive significant P-values, (ii) informative variables can successfully be recovered among non-informative variables and (iii) P-values computed with permutation importance (PIMP) are very helpful for deciding the significance of variables, and therefore improve model interpretability. Furthermore, PIMP was used to correct RF-based importance measures for two real-world case studies. We propose an improved RF model that uses the significant variables with respect to the PIMP measure and show that its prediction accuracy is superior to that of other existing models. R code for the method presented in this article is available at http://www.mpi-inf.mpg.de/ approximately altmann/download/PIMP.R CONTACT: altmann@mpi-inf.mpg.de, laura.tolosi@mpi-inf.mpg.de Supplementary data are available at Bioinformatics online.

Forest Type and Above Ground Biomass Estimation Based on Sentinel-2A and WorldView-2 Data Evaluation of Predictor nd Data Suitability

NASA Astrophysics Data System (ADS)

Fritz, Andreas; Enßle, Fabian; Zhang, Xiaoli; Koch, Barbara

2016-08-01

The present study analyses the two earth observation sensors regarding their capability of modelling forest above ground biomass and forest density. Our research is carried out at two different demonstration sites. The first is located in south-western Germany (region Karlsruhe) and the second is located in southern China in Jiangle County (Province Fujian). A set of spectral and spatial predictors are computed from both, Sentinel-2A and WorldView-2 data. Window sizes in the range of 3*3 pixels to 21*21 pixels are computed in order to cover the full range of the canopy sizes of mature forest stands. Textural predictors of first and second order (grey-level-co-occurrence matrix) are calculated and are further used within a feature selection procedure. Additionally common spectral predictors from WorldView-2 and Sentinel-2A data such as all relevant spectral bands and NDVI are integrated in the analyses. To examine the most important predictors, a predictor selection algorithm is applied to the data, whereas the entire predictor set of more than 1000 predictors is used to find most important ones. Out of the original set only the most important predictors are then further analysed. Predictor selection is done with the Boruta package in R (Kursa and Rudnicki (2010)), whereas regression is computed with random forest. Prior the classification and regression a tuning of parameters is done by a repetitive model selection (100 runs), based on the .632 bootstrapping. Both are implemented in the caret R pack- age (Kuhn et al. (2016)). To account for the variability in the data set 100 independent runs are performed. Within each run 80 percent of the data is used for training and the 20 percent are used for an independent validation. With the subset of original predictors mapping of above ground biomass is performed.