The transition from high school to college (TTC) is a critical period of change, the effects of which may be exacerbated for Latino students, who often face additional minority-specific stressors, such as ethnic/racial discrimination (ERD). Research has documented links between ERD and sleep outcomes in adolescents, but less is known regarding the longitudinal impacts of ERD experiences during unique risk periods (e.g., TTC). Further, despite the central role of family in Latino adolescents’ lives, less research has explored the protective role of family factors (e.g., familism, family support) in links between ERD and Latino students’ sleep health. Thus, this study examined: 1) longitudinal associations between peer- and adult-perpetrated ERD in high school and actigraphy-measured (e.g., duration, efficiency, midpoint) and subjective sleep (e.g., problems) during the first year of college among Latino adolescents, accounting for college ERD experiences, and 2) familism and family support as potential moderators of these associations. Participants were 209 Hispanic/Latino adolescents (Mage=18.10; 64.4% female; 84.7% Mexican descent; 67.9% first-generation students) assessed at two time points (i.e., last semester of high school and second semester of college). There were no longitudinal associations between high school ERD and college sleep. However, there were concurrent associations between ERD and sleep in college. Specifically, greater college peer- and adult-perpetrated ERD were associated with less duration and lower efficiency at the same time point. Further, more college adult-based ERD was additionally linked with greater sleep problems. There were no significant moderation findings; however, the interaction between high school adult-based ERD and family support predicting college sleep problems suggested that adolescents reporting low levels of adult ERD in conjunction with higher levels of family support had the fewest sleep problems. Study findings provide additional evidence that ERD from both adults and peers is associated with reduced sleep duration and quality among Latino college students and suggest that current cultural stressors may be particularly influential on sleep during major socio-contextual shifts. These findings can inform future programs (e.g., sleep interventions) that provide support for students experiencing race-based stressors, such as ERD, to promote Latino student health and well-being.

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.