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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: Income inequality is theorized to impact health. However, evidence among adolescents is limited. This study examined the association between income inequality and health‐related school absenteeism (HRSA) in adolescents. METHODS: Participants were adolescents (n = 74,501) attending secondary schools (n = 136) that participated in the 2018‐2019 wave of the COMPASS study. Chronic (missing ≥3 days of school in the previous 4 weeks) and problematic (missing ≥11 days of school in the previous 4 weeks) HRSA was self‐reported. Income inequality was assessed via the Gini coefficient at the census division (CD) level. Multilevel modeling was used. RESULTS: Greater income inequality was associated with a higher likelihood of chronic and problematic HRSA (chronic: OR = 1.17, 95% CI: 1.06, 1.30; problematic: OR = 1.29, 95% CI 1.11 to 1.50). Increased predicted probabilities for Problematic HRSA were observed at greater degrees of income inequality among students who identified as either white, black, Latinx, or mixed, while protective associations were observed among students who identified as Asian or other. No associations were modified by gender. CONCLUSION: Income inequality demonstrated unfavorable associations with HRSA, which was modified by racial identity. [ABSTRACT FROM AUTHOR]

Background: Perceived financial security impacts physical, mental, and social health and overall wellbeing at community and population levels. Public health action on this dynamic is even more critical now that the COVID-19 pandemic has exacerbated financial strain and reduced financial wellbeing. Yet, public health literature on this topic is limited. Initiatives targeting financial strain and financial wellbeing and their deterministic effects on equity in health and living conditions are missing. Our research-practice collaborative project addresses this gap in knowledge and intervention through an action-oriented public health framework for initiatives targeting financial strain and wellbeing. Methods: The Framework was developed using a multi-step methodology that involved review of theoretical and empirical evidence alongside input from a panel of experts from Australia and Canada. In an integrated knowledge translation approach, academics (n = 14) and a diverse group of experts from government and non-profit sectors (n = 22) were engaged throughout the project via workshops, one-on-one dialogues, and questionnaires. Results: The validated Framework provides organizations and governments with guidance for the design, implementation, and assessment of diverse financial wellbeing- and financial strain-related initiatives. It presents 17 priority actionable areas (i.e., entry points for action) likely to have long-lasting, positive effects on people's financial circumstances, contributing to improved financial wellbeing and health. The 17 entry points relate to five domains: Government (All Levels), Organizational & Political Culture, Socioeconomic & Political Context, Social & Cultural Circumstances, and Life Circumstances. Conclusions: The Framework reveals the intersectionality of root causes and consequences of financial strain and poor financial wellbeing, while also reinforcing the need for tailored actions to promote socioeconomic and health equity for all people. The dynamic, systemic interplay of the entry points illustrated in the Framework suggest opportunities for multi-sectoral, collaborative action across government and organizations towards systems change and the prevention of unintended negative impacts of initiatives. [ABSTRACT FROM AUTHOR]

The infant mortality rate (IMR) is the rate of death of children younger than one year of age. In the United States, the IMR has been declining over time. However, it has been declining much more slowly than in other nations. As a result, the US global ranking in IMRs is also declining. This analytic essay explores some of the reasons why it might be undergoing this relative decline by critically dissecting secondary sources of data. We found that slow progress in reducing IMR over the past decade is partly due to lower birth rates among immigrants, who tend to have healthier babies than native-born mothers. However, this does not explain longer-term trends, which reveal a relative decline in the well-being of women of reproductive age. We speculate that longer-term declines are partially due to a deemphasis on government health and antipoverty programs. This deemphasis results not only in weaker socioeconomic support but also in rising medical costs, which are consuming an increasingly larger share of Americans' declining disposable income. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background Sufficient sleep is needed for the healthy development of youth. However, only a small minority of adolescents obtain adequate amounts of sleep. Although individual-level correlates of sleep have been identified, studies investigating the influence of the environment on sleep are warranted. Methods By using cross-sectional data collected from 1878 urban adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey (BYS), we determined the association between neighborhood social fragmentation and sleep. Social fragmentation of each participant's residential neighborhood was composed using 2010 US Census data. Multilevel regression models were used to determine the association between social fragmentation and meeting the recommended hours of sleep (>8.5 h) and sleep duration while controlling for individual-level sex, race, age and nativity. Results Moderate (OR = 0.51, 95% CI = 0.27, 0.97) and high (OR = 0.33, 95% CI = 0.18, 0.61) social fragmentation within the residential neighborhood was associated with a decreased likelihood of obtaining adequate sleep. Those in moderate (β = −23.9, 95% CI = −43.1, −4.8) and high (β = −22.1, 95% CI = −43.3, −0.9) socially fragmented neighborhoods obtained fewer minutes of sleep per night. Conclusions Social fragmentation may be an important determinant of sleep among youth living in urban settings. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 US 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. [ABSTRACT FROM AUTHOR]

Abstract: 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. [Copyright &y& Elsevier]

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. [ABSTRACT FROM AUTHOR]

Declines in life expectancy in developed countries have been attributed to increases in drug-related overdose, suicide, and liver cirrhosis, collectively referred to as deaths of despair. Income inequality is proposed to be partly responsible for increases in deaths of despair rates. This study investigated the associations between income inequality, deaths of despair risk in Canada, and potential mechanisms (stress, social cohesion, and access to health services). We obtained data from the Canadian Community Health Survey and the Canadian Vital Statistics Database from 2007 to 2017. A total of 504,825 Canadians were included in the analyses. We used multilevel survival analyses, as measured by the Gini coefficient, to examine the relationships between income inequality and mortality attributed to drug overdose, suicide, death of despair, and all-cause. We then used multilevel path analyses to investigate whether each mediator (stress, social cohesion , and access to mental health professionals), which were investigated using separate mediation models, influenced the relationship between income inequality and drug overdose, suicide, deaths of despair, and all-cause death. Adjusted multilevel survival analyses demonstrated significant relationships between a one-SD increase in Gini coefficient was associated with an increased hazard for drug overdose (HR adj. = 1.28; 95 CI = 1.05, 1.55), suicide (HR adj. = 1.24; 95 CI = 1.06, 1.46), deaths of despair (HR adj. = 1.26; 95 CI = 1.12, 1.40), and all-cause death (HR adj. = 1.04; 95 CI = 1.02, 1.07). Adjusted path analyses indicated that stress, social cohesion, and access to mental health professionals significantly mediated the association between income inequality and mortality outcomes. Income inequality is associated with deaths of despair and this relationship is mediated by stress, social cohesion, and access to mental health professionals. Findings should be applied to develop programs to address income inequality in Canada. • Our study explored income inequality and deaths of despair among Canadians. • Greater income inequality predicted an increased hazard of deaths of despair. • Stress, social cohesion, and service access influenced mortality outcomes. [ABSTRACT FROM AUTHOR]