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- All Subjects: Health Disparities
- Creators: School of Human Evolution & Social Change
- Creators: Rahman, Qasim
- Member of: Theses and Dissertations
- Status: Published
Motor learning is the process of improving task execution according to some measure of performance. This can be divided into skill learning, a model-free process, and adaptation, a model-based process. Prior studies have indicated that adaptation results from two complementary learning systems with parallel organization. This report attempted to answer the question of whether a similar interaction leads to savings, a model-free process that is described as faster relearning when experiencing something familiar. This was tested in a two-week reaching task conducted on a robotic arm capable of perturbing movements. The task was designed so that the two sessions differed in their history of errors. By measuring the change in the learning rate, the savings was determined at various points. The results showed that the history of errors successfully modulated savings. Thus, this supports the notion that the two complementary systems interact to develop savings. Additionally, this report was part of a larger study that will explore the organizational structure of the complementary systems as well as the neural basis of this motor learning.
Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual from a low socioeconomic status has, can be a predictor of variations in COVID-19 infection risk across Arizona ZIP code tabulation areas (ZCTAs). Economic connectedness values across Arizona ZCTAs was examined in addition to the correlation of EC to various social and demographic factors such as age, sex, race and ethnicity, educational background, income, and health insurance coverage. A multiple linear regression model was conducted to examine the association of EC to biweekly COVID-19 growth rate from October 2020 to November 2021, and to examine the longitudinal trends in the association between these two factors. The study found that the bridging ties of economic connectedness has a significant effect size comparable to that of other demographic features, and has implications in being used to identify vulnerabilities and health disparities in communities during the pandemic.
Our thesis revolved around the Maryvale community and was centered by a Photovoice project that was a Youth Participatory Action Research method. Being a project led by the youth we continued their stories and expanded off of the topics that we discussed in our Photovoice meetings. In our thesis podcast we discussed the expectation and reality of moving to a new country, the colorism our community as well as other communities face, and the health disparities that are present within underrepresented communities. We were able to expand on these topics and tie it back to the conversations we had with each other four years prior to doing our podcast and how little or how much these topics have changed and evolved.
This thesis addresses the global and national health landscape of disparities to provide insight into the social factors such as education, socioeconomic status, and environment that impact marginalized groups. A positive correlation between race, residency, and lower socioeconomic status among global and national landscapes was made with oral health disparities demonstrating poorer health outcomes among these groups. Through a multistep approach this thesis aimed to provide solutions to contribute to the efforts of developing effective policies and interventions that aim to promote oral health equity.