Capasso Ariadna, Kim Sooyoung, Ali Shahmir H, Jones Abbey M, DiClemente Ralph J, Tozan Yesim
School of Global Public Health, New York University, New York, New York, United States of America.
PLOS Glob Public Health. 2022 Feb 9;2(2):e0000117. doi: 10.1371/journal.pgph.0000117. eCollection 2022.
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 (β) = 0.23; unstandardized coefficient (B) = 0.21, 95% CI = 0.17, 0.24] and rural residents (β = 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 (β = 0.22; B = 0.65, 95% CI = 0.65, 0.74) experienced worse mental health than men; whereas essential workers reported better mental health (β = -0.08; B = -0.25, 95% CI = -0.38, -0.13) than other workers. Rural residents (β = 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.
新冠疫情对不同特定人群亚组的身心健康和经济稳定产生了不同程度的影响,加剧了现有的差距。一线工作人员面临着感染新冠病毒的最大风险;女性承担着照顾家人的责任;农村居民面临着医疗服务获取障碍。这些因素并非孤立存在。虽然目前大多数研究都集中在与新冠疫情差距相关的个体因素上,但很少有人探讨新冠疫情脆弱性多个组成部分之间的复杂关系。我们对美国工人样本(N = 2800)进行结构方程模型分析,旨在:1)确定构成特定新冠疫情脆弱性的因素集群;2)探讨这些脆弱性如何影响特定亚组,特别是一线工作人员、女性和农村居民。我们确定了3种新冠疫情脆弱性:财务、心理健康和医疗服务获取;十分之九的受访者经历了其中一种;15%的受访者报告三种都经历过。一线工作人员[标准化系数(β)= 0.23;非标准化系数(B)= 0.21,95%置信区间 = 0.17,0.24]和农村居民(β = 0.13;B = 0.12,95%置信区间 = 0.09,0.16)分别比非一线工作人员和非农村居民面临更多的财务脆弱性。女性(β = 0.22;B = 0.65,95%置信区间 = 0.65,0.74)的心理健康状况比男性更差;而一线工作人员报告的心理健康状况(β = -0.08;B = -0.25,95%置信区间 = -0.38,-0.13)比其他工作人员更好。农村居民(β = 0.09;B = 0.15,95%置信区间 = 0.07,0.24)比非农村居民面临更多的医疗服务获取障碍。研究结果凸显了财务、心理健康和医疗服务获取方面的脆弱性如何相互关联,导致美国工人中与新冠疫情相关的负担不均衡。迫切需要制定保障就业条件的政策,包括固定收入和带薪病假,以减轻与疫情相关的差距。