Theses and Dissertations

Latinos make up the fastest growing ethnic minority group in the United States and are at higher risk for the developmental of internalizing symptoms in adolescence than other ethnic groups (Merikangas et al., 2010). Rumination has been identified as a transdiagnostic risk factor associated with several internalizing disorders such as depression, anxiety, and comorbidities of the two (McLaughlin & Nolen-Hoeksema, 2011; Nolen-Hoeksema et al., 2008). Further, indicators of the hypothalamic-pituitary-adrenal (HPA) axis (i.e., flatter diurnal cortisol slopes [DCS] and greater cortisol awakening responses [CAR]) are associated with greater risk of internalizing disorders and chronic stress (Adam et al., 2010; Adam et al., 2017). Notably, no studies have examined the association between rumination and the diurnal cortisol slope in Latino populations, and literature on the relation of rumination and the CAR is mixed (Cropley et al., 2015; Hilt et al., 2017; Zoccola et al., 2011). Leveraging self-reported rumination as well as gold-standard salivary cortisol collection procedures (Stalder et al., 2016), the current study sought to elucidate associations between daily rumination and diurnal cortisol in an adolescent Latino sample by examining gender differences and bicultural competence as potential moderators of this association. Results indicated a significant but small association between night-before rumination on problems/stress and next-day DCS. Further, gender differences were detected in the effects of same-day rumination and the CAR. Greater rumination on feelings was associated with a smaller CAR the same day in males, while greater rumination on problems/stress was linked with a greater CAR the same day in females. In addition, there were no buffering effects of bicultural competence. Findings inform future research regarding potential bidirectional relations of daily rumination and the CAR, as well was how different kinds of daily rumination may have differing associations with the CAR of males and females.

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.