Yao Rui, Wu Weipeng
Department of Personal Financial Planning, University of Missouri, 239B Stanley Hall, Columbia, MO 65211 USA.
Department of Personal Financial Planning, University of Missouri, 240A Stanley Hall, Columbia, MO 65211 USA.
Appl Res Qual Life. 2022;17(2):949-970. doi: 10.1007/s11482-021-09950-6. Epub 2021 May 5.
In response to the COVID-19 pandemic, restrictions on economic activities have resulted in a sharp rise of unemployment. The purpose of this research is to explore mental disorders associated with COVID-19 related unemployment using a large, nationally representative dataset, the 2020 COVID-19 Household Pulse Survey. ANOVA with post hoc tests (Tukey HSD) are utilized to reveal the mean difference of mental disorders between various employment status, as well as between reasons of unemployment. Binary logit model is used to investigate the potential effect of different reasons of unemployment on mental disorders. Individuals who were not working during the pandemic due to involuntary reasons had higher probabilities of mental disorders than those who were working and those who voluntarily separated from work. Among respondents who were not working due to COVID-19 related reasons, respondents whose employer went out of business were the most likely to experience mental disorders. Household job uncertainty in the next four weeks positively contributed to mental disorders. Government should consider measures to contain the spread of virous while keeping as many people employed as possible. Government should also consider providing adequate financial and counseling assistance to individuals who are in the greatest need for such support.
为应对新冠疫情，对经济活动的限制导致失业率急剧上升。本研究的目的是利用一个具有全国代表性的大型数据集——2020年新冠疫情家庭脉搏调查，探索与新冠疫情相关失业有关的精神障碍。使用方差分析及事后检验（图基 Honestly significant difference检验）来揭示不同就业状况之间以及失业原因之间精神障碍的平均差异。二元逻辑回归模型用于研究不同失业原因对精神障碍的潜在影响。在疫情期间因非自愿原因没有工作的个体，患精神障碍的概率高于在职个体和自愿离职的个体。在因新冠疫情相关原因没有工作的受访者中，雇主倒闭的受访者最有可能出现精神障碍。未来四周家庭工作的不确定性对精神障碍有正向影响。政府应考虑采取措施控制病毒传播，同时尽可能让更多人就业。政府还应考虑为最需要此类支持的个人提供充足的经济和咨询援助。
