Socioeconomic predictors of COVID-19-related health disparities among United States workers: A structural equation modeling study.

ABSTRACT: The COVID-19 pandemic has disproportionately impacted the physical and mental health, and the economic stability, of specific population subgroups in different ways, deepening existing disparities. Essential workers have faced the greatest risk of exposure to COVID-19; women have been burdened by caretaking responsibilities; and rural residents have experienced healthcare access barriers. Each of these factors did not occur on their own. While most research has so far focused on individual factors related to COVID-19 disparities, few have explored the complex relationships between the multiple components of COVID-19 vulnerabilities. Using structural equation modeling on a sample of United States (U.S.) workers (N = 2800), we aimed to 1) identify factor clusters that make up specific COVID-

SUBMITTER: Capasso A 

PROVIDER: S-EPMC10021756 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature