George Washington University
1 active project
SDOH & COVID
Scientific Questions Being Studied
The impact of COVID-19 is particularly severe on older adults. The older adults (>= 65yr old) account for more than 80% of the mortality. Other reported negative outcomes include anxiety, depression, poor sleep quality and physical inactivity. We propose to utilize this unique, rich set of data to study the relationship between social determinants of health (SDOH) and COVID impact on older adults’ behavior and mental health. Our overall hypothesis is that a comprehensive set of SDOH is associated the COVID impact. Our specific aims are: Aim 1. Identify SDOH factors that are significantly associated with COVID impact on older adults’ behavior, adjusting for age and comorbidities; Aim 2. Identify SDOH factors that are significantly associated with COVID impact on older adults’ mental health, adjusting for age and comorbidities.
- Social / Behavioral
We will use a logistic regression model as the primary approach, to describe and examine whether patients with certain SDOH will have a lower rate of COVID-related behavior (including hand washing and social distancing) and higher prevalence rates of mental health concerns. Multivariable models will adjust for potential confounding factors. In addition, given the multiple factors to be examined (i.e., SDOH, age, and comorbidities), the final models will consider controlling multiplicity to avoid inflated Type I error using Hochberg or false discovery rate method. Besides, we will complement the statistical analysis with explainable deep learning modeling. We will train deep transformer model (type of DNN designed for sequence data) to identify the level of association between SDOH and COVID experience. The DNN approach will allow us to assess the impact and significance of each variable in the model using a DNN as well as the interactions between factors.
This study will help understand how SDOH factors affects COVID-related behavior and mental health issues. The findings will help identify risk factors and provide the study basis for the potential preventive strategies for the negative behavior or mental health among the old population.
Demographic Categories of Interest
- Yijun Shao - Research Fellow, George Washington University
- Yan Cheng - Other, George Washington University
- Qing Zeng - Late Career Tenured Researcher, George Washington University
- Youxuan Ling - Graduate Trainee, Boston University
- Phillip Ma - Project Personnel, George Washington University
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