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 COVID-19 大流行，对经济活动的限制导致失业率急剧上升。本研究的目的是使用具有全国代表性的大型数据集 2020 COVID-19 家庭脉搏调查，探索与 COVID-19 相关失业相关的精神障碍。具有事后检验的方差分析 (Tukey HSD) 用于揭示不同就业状况之间以及失业原因之间的精神障碍的平均差异。二元logit模型用于研究不同失业原因对精神障碍的潜在影响。在大流行期间由于非自愿原因不工作的人比在职人员和自愿离职的人患精神障碍的概率更高。在因 COVID-19 相关原因而没有工作的受访者中，雇主倒闭的受访者最有可能患上精神障碍。未来四个星期的家庭工作不确定性对精神障碍产生了积极影响。政府应考虑采取措施遏制病毒传播，同时让尽可能多的人就业。政府还应考虑向最需要此类支持的个人提供足够的财务和咨询援助。政府应考虑采取措施遏制病毒传播，同时让尽可能多的人就业。政府还应考虑向最需要此类支持的个人提供足够的财务和咨询援助。政府应考虑采取措施遏制病毒传播，同时让尽可能多的人就业。政府还应考虑向最需要此类支持的个人提供足够的财务和咨询援助。