Matching Items (13)
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ContributorsMcNally, Mikayla (Author) / Beeler, Adeline (Co-author) / Schaefer, Sydney (Thesis director) / Lohse, Keith (Committee member) / Barrett, The Honors College (Contributor) / Watts College of Public Service & Community Solut (Contributor)
Created2021-12
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Description
A growing body of research suggest that experiencing racial discrimination is associated with the development of mental health problems. Lee and Ahn (2011) conducted a meta-analysis that documented the relationship between racial discrimination and psychopathology, including depressive symptoms among Asian Americans. However, evidence of an increase in racial discrimination in

A growing body of research suggest that experiencing racial discrimination is associated with the development of mental health problems. Lee and Ahn (2011) conducted a meta-analysis that documented the relationship between racial discrimination and psychopathology, including depressive symptoms among Asian Americans. However, evidence of an increase in racial discrimination in the last decade requires examining to what degree its link to depressive symptoms has changed since Lee and Ahn (2011)’s seminal study. To address this issue, I conducted a systematic review of research on racial discrimination and depressive symptoms among Asian Americans from 2009-2019 in the United States. I used PsycINFO, Web of Science, PubMed, and ProQuest Dissertations and Theses Global to perform my search. My aims were to: 1) understand the relationship between racial discrimination and depressive symptoms, 2) understand how studies vary across sex, age, measures, socioeconomic and ethnic subgroup (e.g., Chinese Americans, Vietnamese Americans). My results demonstrated that the relationship between racial discrimination and depressive symptoms was primarily positive. Factors regarding sex, age, measures, and socioeconomic status varied across studies. Future research should focus more on current issues regarding Asian Americans and use meta-analytic techniques to further investigate any potential moderators such as socioeconomic status and ethnic subgroups.
ContributorsWaddington, Margaret Mary (Author) / Causadias, José (Thesis director) / Korous, Kevin (Committee member) / School of International Letters and Cultures (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description
Water is a scarce resource that is recycled through wastewater treatment plants (WWTPs) to help fulfill the demand for water. Agriculture is a large consumer of water, indicating that WWTP-treated water is proportionally applied to crops at a high rate. Recycled water is highly regulated but is capable of containing

Water is a scarce resource that is recycled through wastewater treatment plants (WWTPs) to help fulfill the demand for water. Agriculture is a large consumer of water, indicating that WWTP-treated water is proportionally applied to crops at a high rate. Recycled water is highly regulated but is capable of containing high-risk pathogens and contaminants despite the efforts of physical and microbial treatments throughout the WWTP process. WWTPs are also producers of biosolids, treated sewage sludge regulated by the EPA that can be applied in agricultural settings to act as a fertilizer. Biosolids are a useful fertilizer as they are rich in nitrogen and contain many beneficial nutrients for soil and crops. Due to biosolids being a by-product of recycled water, they are susceptible to containing the same pathogens and contaminants that can be transferred in the WWTP systems. Antibiotic resistance (AR) is an ever-growing threat on a global scale and is one of the areas of concern for consideration of pathogen spread from WWTPs. Antibiotic resistance bacteria, created through mutation of bacterial plasmids producing antibiotic resistance genes (ARGs), have been quantified and studied to help mitigate the risk posed by continued AR spread in the environment. This study aims to produce a comprehensive collection of quantified ARG concentration data in biosolids, as well as producing a QMRA model integrating Monte Carlo distributions to provide groundwork for understanding of the direct dosage and consumption of ARGs to the standard U.S. citizen. The study determined that sul1, sul2, tetM, and tetO are ARGs of high concern in biosolid samples based on current concentration data of biosolid samples. The resulting dose models and gene concentration distributions provide data to support the need to mitigate AR risk presented by agricultural biosolid application.
ContributorsMorgan, Grace (Author) / Hamilton, Kerry (Thesis director) / Muenich, Rebecca (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2022-05