Theses and Dissertations

A significant amount of prior research has been conducted to investigate type 2 diabetes, the most prevalent form afflicting over 90% of diabetic individuals [6]. Yet, gestational diabetes is an understudied form of diabetes that is thought to share various attributes with type 2 diabetes. It was the aim of this project to investigate a proposed mechanism of the disease, the contra-insulin effect, through a cell-culture experiment. To address the question of whether glycemic and hormonal conditions of cell-culture media affect Hs 795.Pl morphology, cellular growth, and glucose uptake, immunocytochemistry (ICC) and a glucose uptake assay was performed. It was hypothesized that higher the presence of hormones, specifically lactogen, in cell culture media will exacerbate the contra-insulin effect, decreasing the glucose uptake of the Hs 795.Pl cells and inducing abhorrent cell morphology. Qualitatively, estradiol and cortisol had a severe impact on cellular morphology indicative of stress and death. As for glucose uptake, it was decreased when the hormones were isolated compared to all together with estradiol thought to be majorly inhibitory to insulin’s proper functioning. It was concluded that cell morphology, growth, and glucose uptake were detrimentally impacted by the gestational hormones, especially those of cortisol and estrogen.

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.