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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Dyadic outcomes of gratitude exchange between family caregivers and their siblings

Description
Family caregivers are a quickly growing population in American society and are potentially vulnerable to a number of risks to well-being. High stress and little support can combine to cause difficulties in personal and professional relationships, physical health, and emotional health. Siblings are, however, a possible source of protection for…

Family caregivers are a quickly growing population in American society and are potentially vulnerable to a number of risks to well-being. High stress and little support can combine to cause difficulties in personal and professional relationships, physical health, and emotional health. Siblings are, however, a possible source of protection for the at-risk caregiver. This study examines the relational and health outcomes of gratitude exchange between caregivers and their siblings as they attend to the issue of caring for aging parents. Dyadic data was collected through an online survey and was analyzed using a series of Actor-Partner Interdependence Models. Intimacy and care conflict both closely relate to gratitude exchange, but the most significant variable influencing gratitude was role. Specifically, caregivers are neither experiencing nor expressing gratitude on the same level as their siblings. Expressed gratitude did not relate strongly or consistently to well-being variables, though it did relate to diminished negative affect. Implications for theory, the caregiver, the sibling, the elder, the practitioner, and the researcher are addressed in the discussion.
ContributorsAmaro, Lauren M (Author) / Miller, Katherine I. (Thesis advisor) / Alberts, Janet K. (Thesis advisor) / Updegraff, Kimberly (Committee member) / Arizona State University (Publisher)
Created2014
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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