Theses and Dissertations

A handbook consisting of scholarship and social media included to frame the six experiences around which this handbook is organized: getting in the zone, a thought process in overdrive; impulsivity; a distinct relationship to creativity; difficulties with transitions, especially the transition to and from sleep; and a complex relationship to medication. Following the initial framing, I then describe what each of these experiences feel like to me. To render these experiences for the purpose of a shared inquiry, I followed the critical-incident interview method that Flower describes in Community Literacy and the Rhetoric of Public Engagement. I first learned to use this interview technique in ENG 205: Introduction to Writing, Rhetorics and Literacies and practiced it further in ENG 390: Methods of Inquiry. The crux of my project is the insights of research participants as they read and responded to the six critical incidents and respective follow-up questions I designed for this study. The full interview protocol–approved by ASU’s Internal Review Board in December of 2022–is included in the appendix. Following IRB approval, I recruited four participants for a critical-incident interview, the results of which enliven this handbook’s portrait of thriving with ADHD.

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.