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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Childhood obesity is a growing public health concern in the United States. For several years, many interventions have been established to reduce the prevalence of childhood obesity. However, these interventions have not adequately utilized existing models of behavior change, and as a result, have been unsuccessful in increasing levels of

Childhood obesity is a growing public health concern in the United States. For several years, many interventions have been established to reduce the prevalence of childhood obesity. However, these interventions have not adequately utilized existing models of behavior change, and as a result, have been unsuccessful in increasing levels of physical activity and healthy dietary intake. One such model of change, the Transtheoretical Model, views behavior change as occurring through a series of stages with progression through the stages being facilitated by cognitive and behavioral processes. Within these processes the constructs of consciousness-raising, helping relationships, and self-efficacy have been shown to be most influential in changing behaviors. Thus, the objective of this paper is to evaluate the effectiveness of such constructs and establish a multi-faceted approach to combat this epidemic.
ContributorsWang, Janice (Author) / Broman, Tannah (Thesis director) / Hoffner, Kristin (Committee member) / Baldwin, Marjorie (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor)
Created2012-12
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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