earticle

영어

Objectives: This study aimed to identify the association between income change after coronavirus disease 2019 (COVID-19) and job types, considering both the job collar and status of workers. Methods: This study used data from the 2021 Community Health Survey conducted by Korea Disease Control and Prevention Agency. A total of 97,680 participants were included. Multivariable logistic regression was performed to clarify the association between job types and income change after COVID-19. Results: Considering both the job collar and status of worker, pink-collar employers and self-employed people were the most vulnerable population among all job types. Those who were females, middle-aged, married, lived in multi-person households, and lived in rural areas were more likely to experience income change after COVID-19. Conclusions: This study suggests that appropriate long-term supporting policies for those experiencing economic difficulties due to COVID-19 should be established considering job types.