Theses and dissertations

This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Implicit Racial/Ethnic Bias and Latino Health: A Systematic Review

Description
In the United States, the Latino population is projected to reach approximately 28.6% of the total U.S. population by 2060. Despite their growing presence, Latinos encounter health disparities and worse health outcomes in comparison to their non-Hispanic White (NHW) counterparts. Latinos/ Hispanics have a higher prevalence of diabetes, hypertension, obesity,…

In the United States, the Latino population is projected to reach approximately 28.6% of the total U.S. population by 2060. Despite their growing presence, Latinos encounter health disparities and worse health outcomes in comparison to their non-Hispanic White (NHW) counterparts. Latinos/ Hispanics have a higher prevalence of diabetes, hypertension, obesity, and late stage cancer diagnosis. Various social determinants of health (SDoH) such as socioeconomic status, education, insurance enrollment, language proficiency, immigration status among other variables intersect to influence Latino health status. However, even when all those factors were held equal, disparities remained. The aforementioned list did not include race/ethnicity, though race/ethnicity is a critical SDoH that influences one's access to care and the quality of care they receive. As such, examining the role of race may be the key to reducing persistent health disparities in access to care, quality of care, and health outcomes.
ContributorsChen, Diana (Author) / Reddy, Swapna (Thesis director) / Cuya Gavilano, Lorena (Committee member) / School for the Science of Health Care Delivery (Contributor) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Ethnic Discrimination, Socioeconomic Status, and Health in India

Description

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…

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.
ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05