Highly public anti-Black violence in the United States may cause widely experienced distress for Black Americans. This study identifies 49 publicized incidents of racial violence and quantifies national interest based on Google searches; incidents include police killings of Black individuals, decisions not to indict or convict the officer involved, and hate crime murders. Weekly time series of population mental health are produced for 2012 through 2017 using two sources: 1) Google Trends as national search volume for psychological distress terms and 2) the Behavioral Risk Factor Surveillance System (BRFSS) as average poor mental health days in the past 30 d among Black respondents (mean weekly sample size of 696). Autoregressive moving average (ARMA) models accounted for autocorrelation, monthly unemployment, season and year effects, 52-wk lags, news-related searches for suicide (for Google Trends), and depression prevalence and percent female (for BRFSS). National search interest varied more than 100-fold between racial violence incidents. Black BRFSS respondents reported 0.26 more poor mental health days during weeks with two or more racial incidents relative to none, and 0.13 more days with each log10 increase in national interest. Estimates were robust to sensitivity tests, including controlling for monthly number of Black homicide victims and weekly search interest in riots. As expected, racial incidents did not predict average poor mental health days among White BRFSS respondents. Results with national psychological distress from Google Trends were mixed but generally unsupportive of hypotheses. Reducing anti-Black violence may benefit Black Americans’ mental health nationally.

Background: Social capital is a construct of interaction and social trust in one’s fellow community members. These interactions can provide a safety net for individuals in terms of information, social support, and adherence to social norms. While a number of studies have previously examined the relationship between social capital and health outcomes, few have examined the theparallel relationship of social capital and geographic "place" with respect to health outcomes. Methods: Considering social capital as facilitated by specific structures, we evaluate the relationship between neighborhood-level social capital and disability rates in a major Southern US city. Disability rates were collected through neighborhood-level data via the AmericanCommunity Survey (ACS) and compared to a geocoded map of neighborhood-level social capital measures during spring, 2016. Results: Higher social capital within a neighborhood coincided with lower disability rates in that neighborhood (r=-0.14, P=0.016) when compared to random assortment models. Conclusion: Findings from this research add evidence to the value of the built environment, not only providing resources and shaping choices, but for facilitating important social relationships.

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Background Modern slavery is a complex global health problem that includes forced labor exploitation. An ecological systems perspective is needed to understand how contextual upstream and midstream factors contribute to labor exploitation, and how disruptive societal challenges, such as infectious disease pandemics, may exacerbate established pathways leading to exploitation. Accumulation of familial and societal risk factors likely heightens vulnerability; for instance, economic precarity for an individual interacts with poor livelihood options and lack of social welfare supports increasing their likelihood of accepting exploitative labor. However, few frameworks exist that account for the accumulation of and interdependence between risk factors at different levels and across contexts. Objective Using an ecological systems framework, we review literature on the pathways leading to labor exploitation, with the aim of developing a conceptual model grounded in existing research. Next, we discuss how pathways in this conceptual model are likely exacerbated by the COVID-19 pandemic. This conceptual model can guide future research to detect modifiable factors and strategic points of intervention. Methods A critical review of research articles and gray literature was performed with a primary focus on sub-Saharan Africa. The review utilized various scholarly databases to identify perspectives from multiple disciplines and to more fully account for complex processes linked to labor exploitation. Results A conceptual model of these pathways was developed that emphasizes established determinants and risk factors for labor exploitation in sub-Saharan Africa. The model highlights how the COVID-19 pandemic may have exacerbated these pathways. Conclusions Future studies should carefully examine the direct and indirect pathways, accumulation of and interactions between factors, and specific external and personal stressors. Interdisciplinary research on multilevel interventions is needed to guide solutions to prevent the persistent problem of labor exploitation.