Theses and Dissertations

Executive functioning (EF) is the cognitive processing of goal-oriented actions that are predictive of important life functioning skills. Middle childhood is an important time for academic achievement and social development. Positive and negative parenting practices were examined in the prediction of several child executive functioning outcomes in middle childhood, this thesis further examined whether early life socioeconomic status moderated such associations. This sample consisted of 708 twins (32% monozygotic, 36% same-sex dizygotic, and 32% opposite-sex dizygotic) with ethnically and socioeconomically diverse backgrounds at two age points, 12 months old (M = 12.5 months, SD = 1.06) and 8 years old (M = 8.41, SD = .40).There was a significant negative main effect between negative parenting and CPT. Further, positive parenting interacted with SES to predict CPT and Digit Span Forward. A significant positive effect was identified between positive parenting and CPT in low SES families, but not high SES families. Interestingly, greater positive parenting was associated with lower Digit Span Forward in high SES families, but not low SES families. These findings suggest that while negative parenting was associated with worse EF across the entire sample, the relationship between positive parenting practices and executive functioning outcomes differed based on early life socioeconomic status. Future research should examine whether various domains of executive functioning may follow different developmental patterns.

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.