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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The ability to regulate emotions, attention, and behavior develops early in life and impacts future academic success, social competency, behavioral problems, and psychopathology. An impairment in regulation is known as dysregulation. Past research shows that children of mothers with postpartum depression are more likely to show impairment in regulatory abilities.

The ability to regulate emotions, attention, and behavior develops early in life and impacts future academic success, social competency, behavioral problems, and psychopathology. An impairment in regulation is known as dysregulation. Past research shows that children of mothers with postpartum depression are more likely to show impairment in regulatory abilities. There is an established link in the literature between family support and maternal depression, which in turn can impact child behavior. However, further research is needed to explore the impact of family support on early childhood dysregulation in the context of maternal depression. Using a sample of 322 Mexican-American, mother-child dyads, two models were examined. Model one hypothesized family support would buffer the effects of maternal depression on child dysregulation at 24 months. Model 2 hypothesized that family support is related to child dysregulation through its effect on maternal depression. Results showed that increased family support was related to more child dysregulation when there were high levels of maternal depression. There was no evidence to support the hypothesis that maternal depression mediated the relationship between family support and child dysregulation.
ContributorsRodrigues, Samantha Jean (Author) / Luecken, Linda (Thesis director) / Benitez, Viridiana (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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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