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Socioeconomic predictors of COVID-19-related health disparities among United States workers: A structural equation modeling study.
Capasso, Ariadna; Kim, Sooyoung; Ali, Shahmir H; Jones, Abbey M; DiClemente, Ralph J; Tozan, Yesim.
  • Capasso A; School of Global Public Health, New York University, New York, New York, United States of America.
  • Kim S; School of Global Public Health, New York University, New York, New York, United States of America.
  • Ali SH; School of Global Public Health, New York University, New York, New York, United States of America.
  • Jones AM; School of Global Public Health, New York University, New York, New York, United States of America.
  • DiClemente RJ; School of Global Public Health, New York University, New York, New York, United States of America.
  • Tozan Y; School of Global Public Health, New York University, New York, New York, United States of America.
PLOS Glob Public Health ; 2(2): e0000117, 2022.
Article in English | MEDLINE | ID: covidwho-1854936
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-19 vulnerabilities, and 2) explore how these vulnerabilities affected specific subgroups, specifically essential workers, women and rural residents. We identified 3 COVID-19 vulnerabilities financial, mental health, and healthcare access; 9 out of 10 respondents experienced one; 15% reported all three. Essential workers [standardized coefficient (ß) = 0.23; unstandardized coefficient (B) = 0.21, 95% CI = 0.17, 0.24] and rural residents (ß = 0.13; B = 0.12, 95% CI = 0.09, 0.16) experienced more financial vulnerability than non-essential workers and non-rural residents, respectively. Women (ß = 0.22; B = 0.65, 95% CI = 0.65, 0.74) experienced worse mental health than men; whereas essential workers reported better mental health (ß = -0.08; B = -0.25, 95% CI = -0.38, -0.13) than other workers. Rural residents (ß = 0.09; B = 0.15, 95% CI = 0.07, 0.24) experienced more healthcare access barriers than non-rural residents. Findings highlight how interrelated financial, mental health, and healthcare access vulnerabilities contribute to the disproportionate COVID-19-related burden among U.S. workers. Policies to secure employment conditions, including fixed income and paid sick leave, are urgently needed to mitigate pandemic-associated disparities.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: PLOS Glob Public Health Year: 2022 Document Type: Article Affiliation country: Journal.pgph.0000117

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: PLOS Glob Public Health Year: 2022 Document Type: Article Affiliation country: Journal.pgph.0000117