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Background: Previous research indicates that income inequality is associated with risk for mortality, self-rated health status, chronic conditions, and health behavior, such as physical activity. However, little is known about the relationship between income inequality and dietary intake, which is a major risk factor for common chronic diseases including heart disease, stroke, diabetes, and certain types of cancers. The objective of this study is to determine the association between US state income inequality and fruit and vegetable consumption among adults., Methods: Cross-sectional data on 270,612 U.S. adults from the U.S. 2013 Behavioral Risk Factor Surveillance System was used. Fruit and vegetable consumption was assessed from the six-item fruit and vegetable frequency questionnaire, which is part of the Behavioral Risk Factor Surveillance System. Multilevel modeling was used to determine whether US state-level income inequality (measured by the z-transformation of the Gini coefficient) was associated with fruit and vegetable consumption adjusting for individual-level and state-level covariates., Results: In comparison to men, women were more likely to consume fruits and vegetables ≥5 times daily, fruits ≥2 times daily, vegetables ≥3 times of daily, and less likely to consume fruit juice daily. Among both men and women, a standard deviation increase in Gini coefficient was associated with an increase in consuming fruit juice daily (OR = 1.07, 95% CI = 1.03, 1.11). However, among women, a standard deviation increase in Gini coefficient was associated with a decreased likelihood in meeting daily recommended levels of both fruits and vegetables (OR = 0.93; 0.87-0.99), fruits only (OR = 0.95; 95% CI, 0.92-0.99) and vegetables only (OR = 0.92; 95% CI, 0.89-0.96)., Conclusions: This study is one of the first to show the relationship between income inequality and fruit and vegetable consumption among U.S. adults empirically. Women's health is more likely to be detrimentally affected when living in a state with higher income inequality., Competing Interests: The authors have no conflicts of interest relevant to this article to disclose.

Objectives: We examined the relationship between income inequality and the risk for infant/neonatal mortality at the state and county level and tested possible mediators of this relationship., Methods: We first linked state and county Gini coefficients to US Vital Statistics 2010 Cohort Linked Birth and Infant Death records (n = 3,954,325). We then fit multilevel models to test whether income inequality was associated with infant/neonatal mortality. County-level factors were tested as potential mediators., Results: Adjusted analyses indicated that income inequality at the county level-but not at the state level-was associated with increased odds of infant mortality (OR 1.14, 95% CI 1.10, 1.18) and neonatal death (OR 1.17, 95% CI 1.12, 1.23). Our mediators explained most of this variation. Bivariate analyses revealed associations between 3 county-level measures-patient-to-physician ratio, the violent crime rate, and sexually transmitted infection rate-and infant and neonatal mortality. Proportion of college-educated adults was associated with decreased odds for neonatal mortality., Conclusions: Local variations in access to care, the rate of sexually transmitted disease, and crime are associated with infant mortality, while variations in college education in addition to these mediators explain neonatal mortality. To reduce infant and neonatal mortality, experiments are needed to examine the effectiveness of policies targeted at reducing income inequality and improving healthcare access, policing, and educational opportunities.

Objectives: Since the US Supreme Court's 1973 Roe v. Wade decision legalizing abortion, states have enacted laws restricting access to abortion services. Previous studies suggest that restricting access to abortion is a risk factor for adverse maternal and infant health. The objective of this investigation is to study the relationship between the type and the number of state-level restrictive abortion laws and infant mortality risk., Methods: We used data on 11,972,629 infants and mothers from the US Cohort Linked Birth/Infant Death Data Files 2008-2010. State-level abortion laws included Medicaid funding restrictions, mandatory parental involvement, mandatory counseling, mandatory waiting period, and two-visit laws. Multilevel logistic regression was used to determine whether type or number of state-level restrictive abortion laws during year of birth were associated with odds of infant mortality., Results: Compared to infants living in states with no restrictive laws, infants living in states with one or two restrictive laws (adjusted odds ratio (AOR) = 1.08; 95% confidence interval [CI] = 0.99-1.18) and those living in states with 3 to 5 restrictive laws (AOR = 1.10; 95% CI = 1.01-1.20) were more likely to die. Separate analyses examining the relationship between parental involvement laws and infant mortality risk, stratified by maternal age, indicated that significant associations were observed among mothers aged ≤19 years (AOR = 1.09, 95% CI = 1.00-1.19), and 20 to 25 years (AOR = 1.10, 95% CI = 1.03-1.17). No significant association was observed among infants born to older mothers., Conclusion: Restricting access to abortion services may increase the risk for infant mortality., Competing Interests: The authors have no conflicts of interest relevant to this article to disclose.

Little is known about the determinants of collective efficacy, a neighborhood social process comprised of social cohesion and social control, which has shown to be beneficially associated with health. Our goal was to identify determinants of collective efficacy, social cohesion and social control. We used data collected from the Boston Neighborhood Survey, a cross-sectional survey conducted in 38 Boston neighborhoods in 2010 (n = 1710). We used multi-level logistic regression analyses to identify the relationship between the neighborhood-level characteristics and collective efficacy, social cohesion, and social control. High social fragmentation was associated with a decreased likelihood of reporting high collective efficacy (OR = 0.71, 95% CI = 0.54,0.95). and high social cohesion (OR = 0.63, 95% CI = 0.46, 0.86). High social fragmentation (OR = 0.80, 95% CI = 0.64, 0.99), and moderate economic deprivation (OR = 0.64, 95% CI = 0.47, 0.88) were associated with a decreased likelihood of reporting high social control, while high trust in police was associated with an increased likelihood in reporting high social control (OR = 1.86, 95% CI = 1.16, 3.00). Further research should be undertaken to better understand the direction of effect of these associations and how interventions to promote social processes can utilize these findings to improve health., Competing Interests: The authors have no conflicts of interest relevant to this article to disclose., (© 2020 The Authors.)

Background: Compared to other Organisation for Economic Co-operation and Development (OECD) nations, US infant mortality rates (IMRs) are particularly high. These differences are partially driven by racial disparities, with non-Hispanic black having IMRs that are twice those of non-Hispanic white. Income inequality (the gap between rich and poor) is associated with infant mortality. One proposed way to decrease income inequality (and possibly to improve birth outcomes) is to increase the minimum wage. We aimed to elucidate the relationship between state-level minimum wage and infant mortality risk using individual-level and state-level data. We also determined whether observed associations were heterogeneous across racial groups., Methods: Data were from US Vital Statistics 2010 Cohort Linked Birth and Infant Death records and the 2010 US Bureau of Labor Statistics. We fit multilevel logistic models to test whether state minimum wage was associated with infant mortality. Minimum wage was standardised using the z-transformation and was dichotomised (high vs low) at the 75th percentile. Analyses were stratified by mother's race (non-Hispanic black vs non-Hispanic white)., Results: High minimum wage (adjusted OR (AOR)=0.93, 95% CI 0.83 to 1.03) was associated with decreased odds of infant mortality but was not statistically significant. High minimum wage was significantly associated with reduced infant mortality among non-Hispanic black infants (AOR=0.80, 95% CI 0.68 to 0.94) but not among non-Hispanic white infants (AOR=1.04, 95% CI 0.92 to 1.17)., Conclusions: Increasing the minimum wage might be beneficial to infant health, especially among non-Hispanic black infants, and thus might decrease the racial disparity in infant mortality., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: While ecological studies indicate that high levels of structural racism within US states are associated with elevated infant mortality rates, studies using individual-level data are needed. To determine whether indicators of structural racism are associated with the individual odds for infant mortality among white and black infants in the US., Methods: We used data on 2,163,096 white and 590,081 black infants from the 2010 US Cohort Linked Birth/Infant Death Data Files. Structural racism indicators were ratios of relative proportions of blacks to whites for these domains: electoral (registered to vote and voted; state legislature representation), employment (civilian labor force; employed; in management; with a bachelor's degree), and justice system (sentenced to death; incarcerated). Multilevel logistic regression was used to determine whether structural racism indicators were risk factors of infant mortality., Results: Compared to the lowest tertile ratio of relative proportions of blacks to whites with a bachelor's degree or higher-indicative of low structural racism-black infants, but not whites, in states with moderate (OR = 1.12, 95% CI = 0.94, 1.32) and high tertiles (OR = 1.25, 95% CI = 1.03, 1.51) had higher odds of infant mortality., Conclusions: Educational and judicial indicators of structural racism were associated with infant mortality among blacks. Decreasing structural racism could prevent black infant deaths.

Objectives: Fear of crime is associated with adverse mental health outcomes and reduced social interaction independent of crime. Because mental health and social interactions are associated with poor physical health, fear of crime may also be associated with death. The main objective is to determine whether neighbourhood fear is associated with time to death., Setting and Participants: Data from the 1978-2008 General Social Survey were linked to mortality data using the National Death Index (GSS-NDI) (n=20 297)., Methods: GSS-NDI data were analysed to assess the relationship between fear of crime at baseline and time to death among adults after removing violent deaths. Fear was measured by asking respondents if they were afraid to walk alone at night within a mile of their home. Crude and adjusted HRs were calculated using survival analysis to calculate time to death. Analyses were stratified by sex., Results: Among those who responded that they were fearful of walking in their neighbourhood at night, there was a 6% increased risk of death during follow-up in the adjusted model though this was not significant (HR=1.06, 95% CI 0.99 to 1.13). In the fully adjusted models examining risk of mortality stratified by sex, findings were significant among men but not women. Among men, in the adjusted model, there was an 8% increased risk of death during follow-up among those who experienced fear at baseline in comparison with those who did not experience fear (HR=1.08, 95% CI 1.02 to 1.14)., Conclusions: Research has recently begun examining fear as a public health issue. With an identified relationship with mortality among men, this is a potential public health problem that must be examined more fully., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: United States state-level income inequality is positively associated with infant mortality in ecological studies. We exploit spatiotemporal variations in a large dataset containing individual-level data to conduct a cohort study and to investigate whether current income inequality and increases in income inequality are associated with infant and neonatal mortality risk over the period of the 2007-2010 Great Recession in the United States., Methods: We used data on 16,145,716 infants and their mothers from the 2007-2010 United States Statistics Linked Infant Birth and Death Records. Multilevel logistic regression was used to determine whether 1) US state-level income inequality, as measured by Z-transformed Gini coefficients in the year of birth and 2) change in Gini coefficient between 1990 and year of birth (2007-2010), predicted infant or neonatal mortality. Our analyses adjusted for both individual and state-level covariates., Results: From 2007 to 2010 there were 98,002 infant deaths: an infant mortality rate of 6.07 infant deaths per 1000 live births. When controlling for state and individual level characteristics, there was no significant relationship between Gini Z-score and infant mortality risk. However, the observed increase in the Gini Z-score was associated with a small but significant increase likelihood of infant mortality (AOR = 1.03 to 1.06 from 2007 to 2010). Similar findings were observed when the neonatal mortality was the outcome (AOR = 1.05 to 1.13 from 2007 to 2010)., Conclusions: Infants born in states with greater changes in income inequality between 1990 and 2007 to 2010 experienced a greater likelihood of infant and neonatal mortality.

Objective: To investigate the possible effects of middle and high school racial composition on later reporting of lifetime non-medical use of prescription painkillers (NMUPP) in young adulthood, and to explore whether there is evidence of variability by individual race/ethnicity in such effects., Methods: Using data from Wave 1 (1994/5) of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we categorized the sample's 52 middle schools and 80 high schools as majority (>50%) non-Hispanic white, majority non-Hispanic black, or neither. We used two-level hierarchical modeling to explore associations between individual- and school-level race at Wave 1 and lifetime prescription painkiller misuse reported at Wave 4. We included a cross-level interaction between individual race and school racial composition to assess variability in school-level associations by race., Results: Overall crude prevalence of lifetime NMUPP in majority white schools (17.9%) was over three times that of prevalence in majority black schools (4.8%), and also higher than prevalence in schools neither predominantly black nor predominantly white (12.4%). Lifetime misuse among blacks in majority white schools was more prevalent (5.2%) than among blacks in black schools (2.8%), as was misuse among whites in white schools (19.3%) compared to their white peers in black schools (15.7%). Two-level random intercept Poisson regression results suggest that attendance in a majority black secondary school lowered a participant's risk of lifetime NMUPP (compared to attending a majority white school: RR=0.66, p = 0.03). Compared to blacks in black schools, blacks in white schools had twice the risk of prescription painkiller misuse (p = 0.004) over a decade later, and whites in white schools had 5.5 times the risk (p = 0.01). The risk ratio comparing whites in black schools to whites in white schools was not significant (RR: 1.30; p = 0.37)., Conclusions: We found evidence of an effect of school racial composition on the risk of misusing prescription painkillers over a decade later, over and above individual race, with higher risk of misuse reported among participants who had attended white schools. Black participants who had attended predominantly white schools were, on average, twice as likely to report lifetime misuse of prescription painkillers compared to blacks who had attended black schools., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Background: Previous work has identified a relationship between income inequality and risk for obesity and heart attack. We investigated the relationship between state-level income inequality and physical activity among US adults., Methods: We used Behavioral Risk Factor Surveillance System (BRFSS) cross-sectional data from a population based and representative sample of n = 428 828 US adults. Multilevel models were used to determine the association between state-level income inequality and participation in physical activity and strengthening exercises in the previous month., Results: In comparison to males, females were significantly more likely to report being physically inactive (OR = 1.07, 95% CI = 1.04, 1.11), and less likely to meet aerobic activity requirements (OR = 0.90, 95% CI = 0.88, 0.93), meet strengthening activities (OR = 0.71, 95% CI = 0.69, 0.74), and meet overall physical activity recommendations (OR = 0.91, 95% CI = 0.88, 0.94). Cross-level Gini × sex interactions indicated that income inequality was associated with increased odds for participating in no physical activity (OR = 1.08, 95% CI = 1.05, 1.12), decreased odds in participating in strengthening physical activity (OR = 0.92, 95% CI = 0.89, 0.96), aerobic activity (OR = 0.96, 95% CI = 0.93, 0.99), and in meeting overall physical activity recommendations (OR = 0.93, 95% CI = 0.91, 0.95) among women only., Conclusions: Future studies are needed to identify mechanisms in which income inequality leads to physical activity behavior among US women.

Background: Unconditional cash transfers (UCTs; provided without obligation) for reducing poverty and vulnerabilities (e.g. orphanhood, old age or HIV infection) are a type of social protection intervention that addresses a key social determinant of health (income) in low- and middle-income countries (LMICs). The relative effectiveness of UCTs compared with conditional cash transfers (CCTs; provided so long as the recipient engages in prescribed behaviours such as using a health service or attending school) is unknown., Objectives: To assess the effects of UCTs for improving health services use and health outcomes in vulnerable children and adults in LMICs. Secondary objectives are to assess the effects of UCTs on social determinants of health and healthcare expenditure and to compare to effects of UCTs versus CCTs., Search Methods: We searched 17 electronic academic databases, including the Cochrane Public Health Group Specialised Register, the Cochrane Database of Systematic Reviews (the Cochrane Library 2017, Issue 5), MEDLINE and Embase, in May 2017. We also searched six electronic grey literature databases and websites of key organisations, handsearched key journals and included records, and sought expert advice., Selection Criteria: We included both parallel group and cluster-randomised controlled trials (RCTs), quasi-RCTs, cohort and controlled before-and-after (CBAs) studies, and interrupted time series studies of UCT interventions in children (0 to 17 years) and adults (18 years or older) in LMICs. Comparison groups received either no UCT or a smaller UCT. Our primary outcomes were any health services use or health outcome., Data Collection and Analysis: Two reviewers independently screened potentially relevant records for inclusion criteria, extracted data and assessed the risk of bias. We tried to obtain missing data from study authors if feasible. For cluster-RCTs, we generally calculated risk ratios for dichotomous outcomes from crude frequency measures in approximately correct analyses. Meta-analyses applied the inverse variance or Mantel-Haenszel method with random effects. We assessed the quality of evidence using the GRADE approach., Main Results: We included 21 studies (16 cluster-RCTs, 4 CBAs and 1 cohort study) involving 1,092,877 participants (36,068 children and 1,056,809 adults) and 31,865 households in Africa, the Americas and South-East Asia in our meta-analyses and narrative synthesis. The 17 types of UCTs we identified, including one basic universal income intervention, were pilot or established government programmes or research experiments. The cash value was equivalent to 1.3% to 53.9% of the annualised gross domestic product per capita. All studies compared a UCT with no UCT, and three studies also compared a UCT with a CCT. Most studies carried an overall high risk of bias (i.e. often selection and/or performance bias). Most studies were funded by national governments and/or international organisations.Throughout the review, we use the words 'probably' to indicate moderate-quality evidence, 'may/maybe' for low-quality evidence, and 'uncertain' for very low-quality evidence. UCTs may not have impacted the likelihood of having used any health service in the previous 1 to 12 months, when participants were followed up between 12 and 24 months into the intervention (risk ratio (RR) 1.04, 95% confidence interval (CI) 1.00 to 1.09, P = 0.07, 5 cluster-RCTs, N = 4972, I² = 2%, low-quality evidence). At one to two years, UCTs probably led to a clinically meaningful, very large reduction in the likelihood of having had any illness in the previous two weeks to three months (odds ratio (OR) 0.73, 95% CI 0.57 to 0.93, 5 cluster-RCTs, N = 8446, I² = 57%, moderate-quality evidence). Evidence from five cluster-RCTs on food security was too inconsistent to be combined in a meta-analysis, but it suggested that at 13 to 24 months' follow-up, UCTs could increase the likelihood of having been food secure over the previous month (low-quality evidence). UCTs may have increased participants' level of dietary diversity over the previous week, when assessed with the Household Dietary Diversity Score and followed up 24 months into the intervention (mean difference (MD) 0.59 food categories, 95% CI 0.18 to 1.01, 4 cluster-RCTs, N = 9347, I² = 79%, low-quality evidence). Despite several studies providing relevant evidence, the effects of UCTs on the likelihood of being moderately stunted and on the level of depression remain uncertain. No evidence was available on the effect of a UCT on the likelihood of having died. UCTs probably led to a clinically meaningful, moderate increase in the likelihood of currently attending school, when assessed at 12 to 24 months into the intervention (RR 1.06, 95% CI 1.03 to 1.09, 6 cluster-RCTs, N = 4800, I² = 0%, moderate-quality evidence). The evidence was uncertain for whether UCTs impacted livestock ownership, extreme poverty, participation in child labour, adult employment or parenting quality. Evidence from six cluster-RCTs on healthcare expenditure was too inconsistent to be combined in a meta-analysis, but it suggested that UCTs may have increased the amount of money spent on health care at 7 to 24 months into the intervention (low-quality evidence). The effects of UCTs on health equity (or unfair and remedial health inequalities) were very uncertain. We did not identify any harms from UCTs. Three cluster-RCTs compared UCTs versus CCTs with regard to the likelihood of having used any health services, the likelihood of having had any illness or the level of dietary diversity, but evidence was limited to one study per outcome and was very uncertain for all three., Authors' Conclusions: This body of evidence suggests that unconditional cash transfers (UCTs) may not impact a summary measure of health service use in children and adults in LMICs. However, UCTs probably or may improve some health outcomes (i.e. the likelihood of having had any illness, the likelihood of having been food secure, and the level of dietary diversity), one social determinant of health (i.e. the likelihood of attending school), and healthcare expenditure. The evidence on the relative effectiveness of UCTs and CCTs remains very uncertain.

Purpose: Vulnerability to post-traumatic disorder (PTSD) following a traumatic event can be influenced by individual-level as well as contextual factors. Characteristics of the social and economic environment might increase the odds for PTSD after traumatic events occur. One example that has been identified as a potential environmental determinant is income inequality. The purpose of this study is to investigate the association between State-level income inequality and PTSD among adults who have been exposed to trauma., Methods: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n = 34,653). Structured diagnostic interviews were administered at baseline (2001-2002) and follow-up (2004-2005). Weighted multi-level logistic regression was used to determine if US State-level income inequality, as measured by the Gini coefficient, was associated with incident episodes of PTSD during the study's 3-year follow-up period adjusting for individual and state-level covariates., Results: The mean Gini coefficient across states in the NESARC was 0.44 (SD = 0.02) and ranged from 0.39 to 0.53. Of the respondents, 27,638 reported exposure to a traumatic event. Of this sample, 6.9 and 2.3% experienced persistent or recurrent and incident PTSD, respectively. State-level inequality was not associated with increased odds for persistent or recurrent PTSD (OR = 1.02; 95% CI 0.85, 1.22), but was associated with incident PTSD (OR = 1.30, 95% CI 1.04, 1.63)., Conclusion: The degree of income inequality in one's state of residence is associated with vulnerability to PTSD among individuals exposed to traumatic events. Additional work is needed to determine if this association is causal (or alternatively, is explained by other socio-contextual factors associated with income inequality), and if so, what anxiogenic mechanisms explain it.

Background: Emerging evidence suggests that body weight misperception may be associated with psychological distress among people in developed countries. Participating in physical activity (PA) may negate the association between weight misperception and psychological distress given the well-known benefits of PA on psychological health. This study examined the role of PA in associations between body weight misperception and psychological distress among young South Korean adults., Methods: Data from individuals aged 20 to 39 years who participated in the Fifth Korean National Health and Nutrition Examination Surveys 2010-2012 ( N  = 6055) was included in the logistic regressions., Results: The proportions of the respondents under- and over-perceiving their body weight were 66.9% and 0.8% among men and 16.3% and 15.6% among women respectively. A moderating effect of PA participation was observed on the relationship between body weight over-perception and depressed mood (Odds Ratio [OR] = 0.55; 95% Confidence Intervals [95% CI] = 0.34, 0.89). Among individuals who did not meet the recommended vigorous-intensity PA (≥ 20 min/session and ≥ 3 day/week), body weight over-perception was associated with depressed mood (OR = 1.71, 95% CI = 1.19, 2.46) compared to the accurate-perception group. However, no association was observed among those who met the recommended vigorous-intensity PA (OR = 1.52, 95% CI = 0.45, 5.22). Similar patterns were found among physically active versus inactive individuals (recommended walking not met: OR = 2.02, 95% CI = 1.29, 3.15; recommended walking met: OR = 1.28, 95% CI = 0.66, 2.49; muscular strengthening exercises for < 2 day/week: OR = 1.74, 95% CI = 1.21, 2.51; muscular strengthening exercises for ≥ 2 day/week: OR = 1.38, 95% CI = 0.37, 5.14). No relationship existed between body weight over-perception and depressed mood after adjusting for PA., Conclusions: Participating in regular PA may buffer a potential negative impact of body weight over-perception on depressive mood.

Objective: To investigate the relationship between sweetened beverage consumption and depressive symptoms among adolescents., Design: In a cross-sectional study, adolescents were asked how often they drank soda and fruit drinks in the past 7 d. Depressive symptoms were measured using a brief adapted version of the Modified Depression Scale. Summation scores were standardized using the Z-transformation. We used multilevel multiple linear regression models to estimate the association between soda and fruit drink consumption and depressive symptoms., Setting: The 2008 Boston Youth Survey., Subjects: Adolescents (n 1878), high-school students in grades 9-12 of Boston public schools, Massachusetts, USA., Results: Compared with those who never drank soda in the past 7 d, those who consumed soda 2-6 times/week (β=0·18; 95 % CI 0·04, 0·32) or ≥1 times/d (β=0·29; 95 % CI 0·13, 0·45) had higher depressive symptoms. Similarly, those who consumed fruit drinks 2-6 times/week (β=0·14; 95 % CI 0·00, 0·28) and those who consumed ≥1 times/d (β=0·22; 95 % CI 0·04, 0·40) had higher depressive symptoms., Conclusions: Frequent consumption of both soda and fruit drinks is associated with greater depressive symptoms among adolescents.

Background: Although recent evidence has shown that area-level income inequality is related to increased risk for depression among adults, few studies have tested this association among adolescents., Methods: We analysed the cross-sectional data from a sample of 1878 adolescents living in 38 neighbourhoods participating in the 2008 Boston Youth Survey. Using multilevel linear regression modelling, we: (1) estimated the association between neighbourhood income inequality and depressive symptoms, (2) tested for cross-level interactions between sex and neighbourhood income inequality and (3) examined neighbourhood social cohesion as a mediator of the relationship between income inequality and depressive symptoms., Results: The association between neighbourhood income inequality and depressive symptoms varied significantly by sex, with girls in higher income inequality neighbourhood reporting higher depressive symptom scores, but not boys. Among girls, a unit increase in Gini Z-score was associated with more depressive symptoms (β=0.38, 95% CI 0.28 to 0.47, p=0.01) adjusting for nativity, neighbourhood income, social cohesion, crime and social disorder. There was no evidence that the association between income inequality and depressive symptoms was due to neighbourhood-level differences in social cohesion., Conclusions: The distribution of incomes within an urban area adversely affects adolescent girls' mental health; future work is needed to understand why, as well as to examine in greater depth the potential consequences of inequality for males, which may have been difficult to detect here., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Background: Late HIV diagnosis is associated with higher medical costs, early mortality among individuals, and HIV transmission in the population. Even under optimal configurations of stable or declining HIV incidence and increase in HIV case findings, no change in proportion of late HIV diagnosis is projected after year 2019. We investigated the association among social capital, gender, and late HIV diagnosis., Methods: We conduct ecological analyses (ZIP code, N = 166) using negative binomial regression of gender-specific rates of late HIV diagnoses (an AIDS defining illness or a CD4 count ≤200 cell/μL within 12 months of a new HIV diagnosis) in 2005 and 2006 obtained from the New York City HIV Surveillance Registry, and social capital indicators (civic engagement, political participation, social cohesion, and informal social control) from the New York Social Indicators Survey, 2004., Results: Overall, low to high political participation and social cohesion corresponded with significant (P < 0.0001) decreasing trends in late HIV diagnosis rates. Among men [relative risk (RR) = 0.66, 95% CI: (0.47 to 0.98)] and women [RR = 0.43, 95% CI: (0.28 to 0.67)], highest political participation was associated with lower relative odds of late HIV diagnosis, independent of income inequality. Highest informal social control [RR = 0.67, 95% CI: (0.48 to 0.93)] among men only and moderate social cohesion [RR = 0.71, 95% CI: (0.55 to 0.92)] among women only were associated with the outcome adjusting for social fragmentation, income inequality, and racial composition., Discussion: The magnitude of association between social capital and late HIV diagnosis varies by gender and by social capital indicator., Competing Interests: For the remaining authors none were declared.

Objective: We aimed to analyse the individual and contextual determinants associated with cardiovascular diseases (CVDs) morbidity among the elderly., Methods: The sample consisted of 1333 individuals aged 60 or older residing in the city of São Paulo, from the Health, Welfare and Aging (SABE) study survey performed in 2010. The association between CVD with both income inequality and green spaces was analysed using Bayesian multilevel models, controlling for individual and contextual factors., Results: We found a significant association between income inequality and green spaces, and risk of CVD. In comparison to elderly residents in areas with low-income inequality, there was an increased risk for CVD among those residing in the medium-low (OR=1.35, 95% CI 1.15 to 1.59), medium-high (OR=2.71, 95% CI 2.18 to 3.36) and high (OR=1.43, 95% CI 1.14 to 1.79) quartiles of income inequality. Those living in medium-low (OR=0.44, 95% CI 0.39 to 0.49), medium-high (OR=0.56, 95% CI 0.48 to 0.65) and high (OR=0.48, 95% CI 0.43 to 0.55) green spaces levels had lower risk of CVD., Conclusions: These findings highlight the importance of area-level characteristics on CVD risk and the need to develop healthcare policies focused on the effect of individual and contextual characteristics., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Objectives: This study examined the timing of menarche and spermarche and their associations with physical activity (PA) and sedentary behavior (SB) after controlling for body mass index (BMI)., Methods: Multiple logistic regression analyses were conducted to determine whether the timing of menarche in girls and spermarche in boys is associated with PA and SB independent of BMI in a nationally representative sample of Korean adolescents (13-18 years; N = 74,186)., Results: After controlling for age, family economic status, and BMI, early timing of spermarche among boys was associated with a higher likelihood of engaging in PA and a lower likelihood of engaging in SB for < 2 hours during weekdays. By contrast, boys with late timing of spermarche were less likely to engage in PA and more likely to engage in SB for < 2 hours. Among girls, early or late timing of menarche was associated with a higher likelihood of engaging in PA and a lower likelihood of engaging in SB., Conclusion: Timing of menarche in girls and spermarche in boys could be a marker for PA and SB among Korean adolescents. To promote PA and discourage SB among Korean adolescents, school-based, grade-specific interventions can be tailored by the absence or presence of menarche/spermarche.

The Nicotine Dependence in Teens (NDIT) study is a prospective cohort investigation of 1294 students recruited in 1999-2000 from all grade 7 classes in a convenience sample of 10 high schools in Montreal, Canada. Its primary objectives were to study the natural course and determinants of cigarette smoking and nicotine dependence in novice smokers. The main source of data was self-report questionnaires administered in class at school every 3 months from grade 7 to grade 11 (1999-2005), for a total of 20 survey cycles during high school education. Questionnaires were also completed after graduation from high school in 2007-08 and 2011-12 (survey cycles 21 and 22, respectively) when participants were aged 20 and 24 years on average, respectively. In addition to its primary objectives, NDIT has embedded studies on obesity, blood pressure, physical activity, team sports, sedentary behaviour, diet, genetics, alcohol use, use of illicit drugs, second-hand smoke, gambling, sleep and mental health. Results to date are described in 58 publications, 20 manuscripts in preparation, 13 MSc and PhD theses and 111 conference presentations. Access to NDIT data is open to university-appointed or affiliated investigators and to masters, doctoral and postdoctoral students, through their primary supervisor (www.nditstudy.ca)., (© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Objectives: To examine prospectively the association between US state income inequality and incidence of heart attack., Methods: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n = 34,445). Respondents completed interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modeling was used to determine if US state-level income inequality (measured by the Gini coefficient) at baseline was a predictor of heart attack during follow-up, controlling for individual-level and state-level covariates., Results: In comparison to residents of US states in the lowest quartile of income inequality, those living in the second [Adjusted Odds Ratio (AOR) = 1.71, 95 % CI 1.16-2.53)], third (AOR = 1.81, 95 % CI 1.28-2.57), and fourth (AOR = 2.04, 95 % CI 1.26-3.29) quartiles were more likely to have a heart attack. Similar findings were obtained when we excluded those who had a heart attack prior to baseline., Conclusions: This study is one of the first to empirically show the longitudinal relationship between income inequality and coronary heart disease. Living in a state with higher income inequality increases the risk for heart attack among US adults.

Background: Ecological and cross-sectional studies have indicated that conservative political ideology is associated with better health. Longitudinal analyses of mortality are needed because subjective assessments of ideology may confound subjective assessments of health, particularly in cross-sectional analyses., Methods: Data were derived from the 2008 General Social Survey-National Death Index data set. Cox proportional analysis models were used to determine whether political party affiliation or political ideology was associated with time to death. Also, we attempted to identify whether self-reported happiness and self-rated health acted as mediators between political beliefs and time to death., Results: In this analysis of 32,830 participants and a total follow-up time of 498,845 person-years, we find that political party affiliation and political ideology are associated with mortality. However, with the exception of independents (adjusted HR (AHR)=0.93, 95% CI 0.90 to 0.97), political party differences are explained by the participants' underlying sociodemographic characteristics. With respect to ideology, conservatives (AHR=1.06, 95% CI 1.01 to 1.12) and moderates (AHR=1.06, 95% CI 1.01 to 1.11) are at greater risk for mortality during follow-up than liberals., Conclusions: Political party affiliation and political ideology appear to be different predictors of mortality., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Objective: To examine associations between utilitarian walking, utilitarian cycling, leisure time physical activity and body mass index (BMI)., Methods: Participants from the National Population Health Survey (NPHS) of Statistics Canada were interviewed by telephone every two years from 1994 to 2010. Analysis includes data from 6894 living participants aged 18-64years. Fixed effects and random intercepts models examined the association between BMI, utilitarian walking, and utilitarian cycling, controlling for behavioral and sociodemographic factors., Results: The final adjusted fixed effects models showed no significant relationship between utilitarian walking and BMI. In the unbalanced sample utilitarian cycling for 1 to 5h per week (b=-0.15, 95% CI: -0.28 to -0.02), and more than 5h per week (b=-0.22, 95% CI: -0.44 to 0.00) was significantly associated with BMI over time. In the fully balanced sample utilitarian cycling for 1 to 5h per week (b=-0.12, 95% CI: -0.27 to 0.03), more than 5h per week (b=-0.16, 95% CI: -0.45 to 0.13) was not significantly associated with BMI over time., Conclusion: The results suggest that utilitarian walking is not related to BMI. The relationship between utilitarian cycling and BMI is less clear., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objectives: We sought to determine whether the socioeconomic environment was associated with no participation in physical activity among adolescents in Boston, Massachusetts., Methods: We used cross-sectional data from 1878 urban adolescents living in 38 neighborhoods who participated in the 2008 Boston Youth Survey, a biennial survey of high school students (aged 14-19 years). We used multilevel multiple regression models to determine the association between neighborhood-level exposures of economic deprivation, social fragmentation, social cohesion, danger and disorder, and students' reports of no participation in physical activity in the previous week., Results: High social fragmentation within the residential neighborhood was associated with an increased likelihood of being inactive (odds ratio = 1.53; 95% confidence interval = 1.14, 2.05). No other neighborhood exposures were associated with physical inactivity., Conclusions: Social fragmentation might be an important correlate of physical inactivity among youths living in urban settings. Interventions might be needed to assist youths living in unstable neighborhoods to be physically active.

Purpose: Being a perpetrator or victim of assaults can have detrimental effects on the development and health of adolescents. Area-level income inequality has been suggested to be associated with crime and aggressive behavior. However, most prior research on this association has been ecological. Therefore, the purpose of this investigation was to describe the association between neighborhood-level income inequality and aggression and violence outcomes., Methods: Data were collected from a sample of 1,878 adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey. We used multilevel logistic regression models to estimate the association between neighborhood income inequality and attacking someone with a weapon, being attacked by someone with a weapon, being physically assaulted, being shown a gun by someone in the neighborhood, shot at by someone in the neighborhood, witnessing someone getting murdered in the past year, and having a close family member or friend murdered. Race and income inequality cross-level interactions were tested. Analyses were stratified by sex., Results: Among nonblack boys, after adjusting for nativity, age, neighborhood-level income, crime, disorder, and proportion of the neighborhood that is black, income inequality was associated with an increased risk for committing acts of aggression and being a victim of violence. Among nonblack girls, those living in neighborhoods with high-income inequality were more likely to witness someone die a violent death in the previous year, in comparison to those in more equal neighborhoods., Conclusions: Income inequality appears to be related to aggression and victimization outcomes among nonblack adolescents living in Boston., (Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: To examine the independent influence of school economic deprivation, social fragmentation, and social cohesion on the likelihood of participating in no physical activity among students., Methods: Data are from a large-scale longitudinal study of schools based in disadvantaged communities in Quebec, Canada. Questionnaires were administered every year between 2002 and 2008 among n = 14,924 students aged 12 to 18 from a sample of 70 schools. Cross-sectional and longitudinal analyses were conducted. Multilevel modeling was utilized to account for the clustering of students within schools. Schools were categorized as being low, moderate or high economic deprivation, social fragmentation and social cohesion. Those who indicated that they do no participate in any physical activity during the week were identified as being physically inactive., Results: In baseline multilevel cross-sectional analyses, adolescents attending schools in the highest (compared to the lowest) levels of socioeconomic deprivation and social fragmentation were more likely to be physically inactive (OR = 1.33, 95% CI = 1.03, 1.72; and OR = 1.24, 95% CI = 0.98, 1.56, respectively). Conversely, students attending schools with the highest cohesion were less likely to be physically inactive (OR = 0.78, 95% CI = 0.61, 0.99). In longitudinal analysis, physically active students who attended schools with the highest social fragmentation were more likely to become physically inactive over two years (OR = 1.65, 95% CI = 1.09, 2.51)., Conclusion: The school socioeconomic environment appears to be an important contextual influence on participation in no physical activity among adolescents. Following adolescents beyond two years is necessary to determine if these environments have a lasting effect on physical activity behavior.

Witnessing violence has been linked to maladaptive coping behaviors such as smoking, alcohol consumption, and marijuana use. However, more research is required to identify mechanisms in which witnessing violence leads to these behaviors. The objectives of this investigation were to examine the association between witnessing a violent death and smoking, alcohol consumption, and marijuana use among adolescents, to identify whether exhibiting depressive symptoms was a mediator within this relationship, and to determine if those who had adult support in school were less likely to engage in risky health behaviors. Data were collected from a sample of 1,878 urban students, from 18 public high schools participating in the 2008 Boston Youth Survey. In 2012, we used multilevel log-binomial regression models and propensity score matching to estimate the association between witnessing a violent death and smoking, alcohol consumption, and marijuana use. Analyses indicated that girls who witnessed a violent death were more likely to use marijuana (relative risk (RR) = 1.09, 95% confidence interval (CI) = 1.02, 1.17), and tended towards a higher likelihood to smoke (RR = 1.06, 95% CI = 1.00, 1.13) and consume alcohol (RR = 1.07, 95% CI = 0.97, 1.18). Among boys, those who witnessed a violent death were significantly more likely to smoke (RR = 1.20, 95% CI = 1.11, 1.29), consume alcohol (RR = 1.30, 95% CI = 1.17, 1.45) and use marijuana (RR = 1.33, 95% CI = 1.21, 1.46). When exhibiting depressive symptoms was included, estimates were not attenuated. However, among girls who witnessed a violent death, having an adult at school for support was protective against alcohol consumption. When we used propensity score matching, findings were consistent with the main analyses among boys only. This study adds insight into how witnessing violence can lead to adoption of adverse health behaviors.

Background: Although cross-sectional and ecological studies have shown that higher area-level income inequality is related to increased risk for depression, few longitudinal studies have been conducted. This investigation examines the relationship between state-level income inequality and major depression among adults participating in a population-based, representative longitudinal study., Methods: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n=34 653). Respondents completed structured diagnostic interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modelling was used to determine if U.S. state-level income inequality (measured by the Gini coefficient) was a significant predictor of depression at baseline and at follow-up, while controlling for individual-level and state-level covariates. We also repeated the longitudinal analyses, excluding those who had a history of depression or at baseline, in order to test whether income inequality was related to incident depression., Results: State-level inequality was associated with increased incidence of depression among women but not men. In comparison to women residing in states belonging to the lowest quintile of income inequality, women were at increased risk for depression in the second (OR=1.18, 95% CI 0.86 to 1.62), third (OR=1.22, 95% CI 0.91 to 1.62), fourth (OR=1.37, 95% CI 1.03 to 1.82) and fifth (OR=1.50, 95% CI 1.14 to 1.96) quintiles at follow-up (p<0.05 for the linear trend)., Conclusions: Living in a state with higher income inequality increases the risk for the development of depression among women.

Objectives: Non-fatal overdose remains a significant source of morbidity among people who inject drugs (IDU). Although depression and social support are important in shaping the health of IDU, little is known about the relationship between these factors and overdose. Therefore, we sought to determine whether depressive symptoms and social support predicted non-fatal overdose among IDU in a Canadian setting., Methods: Data were derived from three prospective cohorts of people who use drugs: the Vancouver Injection Drug Users Study (VIDUS), the ACCESS Cohort, and the At-Risk Youth Study (ARYS). Multilevel modeling was used to determine if depression and social support were significant predictors of non-fatal overdose across time. Analyses were stratified by sex., Results: There were 1931 participants included in this analysis, including 653 (33.8%) females and 69 (3.6%) youth 20 years old or younger. Depressed men (adjusted odds ratio [AOR]=1.53, 95% confidence intervals [CI]=1.25, 1.87) and women (adjusted odds ratio [AOR]=2.23, 95% confidence intervals [CI]=1.65, 3.00) were more likely to experience a non-fatal overdose. Further, among women, those who reported having 3 or more persons they could rely upon for social support were less likely to experience a non-fatal overdose (AOR=0.54, 95% CI 0.31, 0.93)., Conclusion: Although depression was a significant predictor of non-fatal drug overdose, social support was a significant predictor among women only. Possible strategies to prevent non-fatal overdose may include identifying IDU experiencing severe depressive symptoms and providing targeted mental health treatments and mobilizing interpersonal social support among IDU, especially among women., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Objectives: We determined whether community-level income inequality was associated with mortality among a cohort of older adults in São Paulo, Brazil., Methods: We analyzed the Health, Well-Being, and Aging (SABE) survey, a sample of community-dwelling older adults in São Paulo (2000-2007). We used survival analysis to examine the relationship between income inequality and risk for mortality among older individuals living in 49 districts of São Paulo., Results: Compared with individuals living in the most equal districts (lowest Gini quintile), rates of mortality were higher for those living in the second (adjusted hazard ratio [AHR] = 1.44, 95% confidence interval [CI] = 0.87, 2.41), third (AHR = 1.96, 95% CI = 1.20, 3.20), fourth (AHR = 1.34, 95% CI = 0.81, 2.20), and fifth quintile (AHR = 1.74, 95% CI = 1.10, 2.74). When we imputed missing data and used poststratification weights, the adjusted hazard ratios for quintiles 2 through 5 were 1.72 (95% CI = 1.13, 2.63), 1.41 (95% CI = 0.99, 2.05), 1.13 (95% = 0.75, 1.70) and 1.30 (95% CI = 0.90, 1.89), respectively., Conclusions: We did not find a dose-response relationship between area-level income inequality and mortality. Our findings could be consistent with either a threshold association of income inequality and mortality or little overall association.

Objective: To investigate if students who use of Active Transportation (AT) to and from school among urban and rural Canadian children are more likely to meet physical activity recommendations., Methods: The Raising healthy Eating and Active Living in Alberta (REAL Kids Alberta) study is a population-based health survey among Grade 5 students. In 2009, physical activity levels were measured using time-stamped pedometers (number of steps/hour) among 688 children. Parents reported mode of transportation to and from school (AT/non-AT). Multilevel multiple linear regression analyses with corresponding β coefficients were conducted to quantify the relationship between mode of transportation to and from school with (1) overall step count, and (2) the likelihood of achieving at least 13,500 steps per day recommended for optimal growth and development., Results: Among urban children, those who used AT to and from school accumulated more steps [β=1124(95% CI=170,2077)] and although not significant, were more likely to achieve the recommended 13,500 steps/day compared to those not using AT to and from school [OR=1.61(95% CI=0.93,2.81)]., Conclusion: Using AT to and from school appears to be beneficial to children by supplementing their physical activity, particularly those living in urban regions. Strategies to promote physical activity are needed, particular for children residing in rural regions and smaller towns., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objectives: We determined whether social fragmentation, which is linked to the concept of anomie (or normlessness), was associated with a decreased likelihood of willingness to walk for exercise., Methods: Data were collected from mothers and fathers of 630 families participating in the Quebec Adipose and Lifestyle Investigation in Youth Cohort, an ongoing longitudinal study investigating the natural history of obesity and insulin resistance in children. Social fragmentation was defined as the breakdown of social bonds between individuals and their communities. We used log-binomial multiple regression models to estimate the association between social fragmentation and walking for exercise., Results: Higher social fragmentation was associated with a decreased likelihood of walking for exercise among women but not men. Compared with women living in neighborhoods with the lowest social fragmentation scores (first quartile), those living in neighborhoods in the second (relative risk [RR] = 0.91; 95% confidence interval [CI] = 0.78, 1.05), third (RR = 0.83; 95% CI = 0.70, 1.00), and fourth (RR = 0.80; 95% CI = 0.65, 0.99) quartiles were less likely to walk for exercise (P = .02)., Conclusions: Social fragmentation is associated with reduced walking among women. Increasing neighborhood stability may increase walking behavior, especially among women.

Objective: To identify sociodemographic and environmental correlates of sweetened beverages (regular soft drinks, fruit juice) among children of pre-school age., Design: Children's dietary intake, food behaviours and screen time were measured by parental report. A Geographic Informational System was used to assess the number of grocery stores and fast-food restaurants available within 1 km of the children's residence. Multivariate log-binomial regression models were constructed to determine correlates of drinking soft drinks during the previous week., Setting: Edmonton region, Canada., Subjects: Children aged 4 and 5 years (n 2114) attending a public health unit for immunization were recruited for a cohort study on determinants of childhood obesity, between 2005 and 2007., Results: Children from neighbourhoods with low socio-economic status (relative risk (RR) = 1·17, 95 % CI 0·98, 1·40) or who participated in >2 h of screen time daily (RR = 1·28, 95 % CI 1·13, 1·45) were significantly more likely to have consumed regular soft drinks within the last week. Those who lived within 1 km of a grocery store were significantly less likely to consume regular soft drinks (RR = 0·84, 95 % CI 0·73, 0·96). Children who participated in >2 h of screen time daily (RR = 1·16, 95 % CI 1·06, 1·27) were more likely to exceed the recommended weekly number of servings of fruit juice., Conclusions: Socio-economic and built environment factors are associated with soft drink consumption in children of pre-school age. These findings may help health professionals to advocate for policies that reduce soft drink consumption among children.

Purpose: Healthy eating during early childhood is important for growth and development. Eating Well with Canada's Food Guide (CFG) provides dietary recommendations. We investigated patterns of food consumption among preschool children and attempted to determine whether these children's intakes met nutrition recommendations., Methods: Between 2005 and 2007, four- and five-year-old children (n=2015) attending 12 Edmonton-region public health units for immunization were recruited for a longitudinal study on determinants of childhood obesity. The children's dietary intake at baseline was assessed using parental reports., Results: Overall, 29.6%, 23.5%, 90.9%, and 94.2% of the children met recommendations for vegetables and fruit, grain products, milk and alternatives, and meat and alternatives, respectively. In addition, 79.5% consumed at least one weekly serving of foods in the "choose least often" group. Significant differences existed in consumption of food groups across socioeconomic and demographic groups. For example, 82.9%, 84.7%, and 75.9% of preschool children from neighbourhoods of low, medium, and high socioeconomic status, respectively, consumed at least one food in the "choose least often" group (χ² =16.2, p<0.001)., Conclusions: Consumption of vegetables and fruit and grain products was low among participants, and intake of "choose least often" foods was high. Consumption of foods also differed among socioeconomic and demographic groups. To encourage healthy eating among children, public health professionals should target groups who do not meet the CFG recommendations.

Background: Concern has been raised regarding the increased prevalence of physical inactivity among children. Active transportation, such as walking and cycling to school, is an opportunity for children to be physically active., Objective: To identify the sociodemographic predictors of active transportation to schools across time among school-aged children participating in the Canadian National Longitudinal Survey of Children and Youth (NLSCY)., Methods: The sample included 7690 school-aged children attending public schools who were drawn from cycle 2 (1996 and 1997) of the Canadian NLSCY. Data were collected through interviews with the person most knowledgeable about the child. Parents were asked how their child usually gets to school. Responses were dichotomized into active (walking or bicycling) or inactive (school bus, public transit, is driven, or multiple) modes. Using 3 waves of data from the Canadian NLSCY (1996-2001), we estimated the effect of sociodemographic factors on the likelihood of active transportation to school across time using random-effects models., Results: Longitudinal analyses indicated that as children aged, the likelihood of using active transportation to school increased, peaked at the age of 10 years, and then decreased. Urban settings (odds ratio [OR]: 3.66 [95% confidence interval (CI): 3.23-4.15]), households with inadequate income (OR: 1.21 [95% CI: 1.06-1.38]), living with 1 parent (OR: 1.46 [95% CI: 1.29-1.65]), and having an older sibling living at home (OR: 1.14 [95% CI: 1.04-1.25]) were significant predictors of active transportation to school at baseline and carried through across time., Conclusions: Understanding the factors that influence active transportation may support its adoption by children, which in turn may contribute to meeting physical activity guidelines.

In light of geographical and epidemiological research suggesting that the socioeconomic environment beyond the family may influence children's physical activity, this study investigated the extent to which neighbourhood socioeconomic conditions predict change in physical activity from ages 10 through 15 years, controlling for the attributes of the individual child and family. Data came from 889 children participating in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development cohort study. Accelerometers measured Moderate-to-Vigorous Physical Activity (MVPA) during the week and weekend, when the children were aged 10, 11, and 15 years. Selected US census block variables were used to create 'independent' area measures of economic deprivation and social fragmentation scores for child's area of residence at age 10 years. Also, parents' perception of neighbourhood social cohesion was measured in terms of relationships with neighbours. All analyses controlled for participant characteristics: gender, ethnicity, household income-to-needs ratio, maternal education, and for United States region of residence. Growth curve analyses indicated that whereas social fragmentation did not predict MVPA over time, greater area deprivation at age 10 years was associated with lower weekday MVPA for boys at 10 years (β=-0.5, p=0.03) and these differences persisted to age 11 and 15 years. This relationship was reversed for girls. Weekend MVPA was not significantly associated with the level of deprivation in the place of residence at age 10 years. Although the census measure of social fragmentation in the area of residence showed no significant association with MVPA, parent-reported neighbourhood social cohesion was positively associated with weekday (β=2.0, p<0.01) and weekend (β=3.1, p<0.01) MVPA minutes across time. This association was most pronounced for boys. Area level factors may be determinants of physical activity among children and youth in complex ways and parental perception of area social environment may be as important for children's activity levels as 'independently assessed' socioeconomic conditions., (Copyright © 2010 Elsevier Ltd. All rights reserved.)

Background: Flexible working conditions are increasingly popular in developed countries but the effects on employee health and wellbeing are largely unknown., Objectives: To evaluate the effects (benefits and harms) of flexible working interventions on the physical, mental and general health and wellbeing of employees and their families., Search Strategy: Our searches (July 2009) covered 12 databases including the Cochrane Public Health Group Specialised Register, CENTRAL; MEDLINE; EMBASE; CINAHL; PsycINFO; Social Science Citation Index; ASSIA; IBSS; Sociological Abstracts; and ABI/Inform. We also searched relevant websites, handsearched key journals, searched bibliographies and contacted study authors and key experts., Selection Criteria: Randomised controlled trials (RCT), interrupted time series and controlled before and after studies (CBA), which examined the effects of flexible working interventions on employee health and wellbeing. We excluded studies assessing outcomes for less than six months and extracted outcomes relating to physical, mental and general health/ill health measured using a validated instrument. We also extracted secondary outcomes (including sickness absence, health service usage, behavioural changes, accidents, work-life balance, quality of life, health and wellbeing of children, family members and co-workers) if reported alongside at least one primary outcome., Data Collection and Analysis: Two experienced review authors conducted data extraction and quality appraisal. We undertook a narrative synthesis as there was substantial heterogeneity between studies., Main Results: Ten studies fulfilled the inclusion criteria. Six CBA studies reported on interventions relating to temporal flexibility: self-scheduling of shift work (n = 4), flexitime (n = 1) and overtime (n = 1). The remaining four CBA studies evaluated a form of contractual flexibility: partial/gradual retirement (n = 2), involuntary part-time work (n = 1) and fixed-term contract (n = 1). The studies retrieved had a number of methodological limitations including short follow-up periods, risk of selection bias and reliance on largely self-reported outcome data. Four CBA studies on self-scheduling of shifts and one CBA study on gradual/partial retirement reported statistically significant improvements in either primary outcomes (including systolic blood pressure and heart rate; tiredness; mental health, sleep duration, sleep quality and alertness; self-rated health status) or secondary health outcomes (co-workers social support and sense of community) and no ill health effects were reported. Flexitime was shown not to have significant effects on self-reported physiological and psychological health outcomes. Similarly, when comparing individuals working overtime with those who did not the odds of ill health effects were not significantly higher in the intervention group at follow up. The effects of contractual flexibility on self-reported health (with the exception of gradual/partial retirement, which when controlled by employees improved health outcomes) were either equivocal or negative. No studies differentiated results by socio-economic status, although one study did compare findings by gender but found no differential effect on self-reported health outcomes., Authors' Conclusions: The findings of this review tentatively suggest that flexible working interventions that increase worker control and choice (such as self-scheduling or gradual/partial retirement) are likely to have a positive effect on health outcomes. In contrast, interventions that were motivated or dictated by organisational interests, such as fixed-term contract and involuntary part-time employment, found equivocal or negative health effects. Given the partial and methodologically limited evidence base these findings should be interpreted with caution. Moreover, there is a clear need for well-designed intervention studies to delineate the impact of flexible working conditions on health, wellbeing and health inequalities.

Objective: To determine the extent to which active transportation (AT) to and from school is associated with changes in body mass index (BMI) from kindergarten (6-year-olds) through grade 2 (8-year-olds)., Methods: The sample included 1170 children (50.4% of baseline participants) who were part of the Quebec Longitudinal Study of Child Development (QLSCD), a birth cohort established in 1998 in Quebec, Canada. Data were collected by trained interviewers using structured interviews and measuring height and weight in the home with the person most knowledgeable about the child's health. Relative weight was operationalized as age- and sex-adjusted BMI Z-scores., Results: Growth curve analyses showed that using AT to and from school both when in kindergarten and in grade 1 was predictive of a lower BMI Z-score (coeff=-0.18, SE=0.09, p=0.05) in grade 1. Using AT to and from school in kindergarten, grade 1, and grade 2 was predictive of a lower BMI Z-score (coeff=-0.30, SE=0.098, p=0.003) in grade 2. No other covariates were predictive of relative weight across time, although having an overweight or obese mother was associated with a BMI Z-score of 0.39 (SE=0.07, p<0.001) across all time points., Conclusion: Sustained AT is associated with more healthful trajectories of BMI across the early school years.

Objective: The purposes of this study were to describe the prevalence of modes of transportation to school and to identify socioeconomic correlates., Methods: Proportions of students using different modes of transportation were estimated among a population-based sample of 3613 youth aged 9, 13, and 16 years who participated in the 1999 Quebec Child and Adolescent Health and Social Survey., Results: Weighted analyses showed significant differences in the use of different modes of transportation to and from school across socioeconomic groups. For example, 40.3%, 15.2%, and 13.0% of 9, 13, and 16 year olds walked to school. In addition, 1.2%, 11.3%, and 13.8% of 9, 13, and 16 year olds used public transportation whereas 33.1%, 51.2%, and 55.6% of 9, 13, and 16 year olds took the school bus to school; 14.3%, 7.3%, and 5.0% of 9, 13, and 16 year olds were transported by car; finally, 10.7%, 14.1%, and 11.7% of 9, 13, and 16 year olds indicated they used multiple modes of transportation. Girls, higher income of children, children of immigrants, and rural-dwelling children were less likely to walk to school., Conclusion: Findings indicate that there are differing modes of transportation to and from school across socioeconomic groups.

To study the effect of a teachers' ban on supervising sports-related extracurricular physical activities (ECAs), levels of physical activity among 979 grade 7 students (mean age=12.7 [0.5] years at baseline) were compared during and after the ban in seven schools that fully implemented the ban, and three schools that did not implement the ban fully. On average, schools offered 18.0 (SD=5.1) ECAs during a no-ban school year. Students attending full implementation schools were significantly more likely than students in nonimplementation schools to be active after the ban ended (odds ratio for being active=1.89 [95% confidence interval: 1.39, 2.58]). They also increased the number of physical activities in which they participated (coefficient=4.04; SE=1.01). Ending a teachers' ban on sports-related ECAs was associated with increased involvement in physical activity among secondary school students.