Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Department of Psychology
There is a higher incidence of asthma, worse outcomes, and a higher burden of disease in Black Americans compared to white Americans. This thesis aims to understand asthma disparities in the Black population by analyzing a variety of social determinants of health and genetic factors that may contribute to these racial health disparities. Based on the evidence collected, a variety of interventions are discussed that explore potential solutions to address the critical issue.
Understanding and predicting health outcomes of adults by examining adverse childhood experiences (ACE) is one tool available to healthcare professionals. This tool originated from the 1988 ACE study, and because of its findings, it has been widely implemented and utilized. This literature review investigates how practical and applicable those findings are to validate its current widespread practice. It is concluded that the original study is not comprehensive enough to justify its use in a significant way; however, this review discusses how it can be built upon and modernized to capture more demographics, validate its results to apply to more populations, and become a better predictive model.