earticle

영어

Objectives: This study aimed to assess the factors associated with concerns about economic damage due to the COVID-19 pandemic. Methods: The total number of subjects was 205,589, as drawn from the 2021 Community Health Survey. Binary logistic regression analysis was used to identify the factors associated with concerns about economic damage due to the COVID-19 pandemic. Results: The finding indicates that concerns about economic damage due to the COVID-19 pandemic are high in the order of pink-collar job, blue-collar job, no occupation, and white-collar job. Sex, age, marital status, education level, residential area, family member, household income, smoking status, and unmet healthcare service were significant. Conclusions: The research results suggest that different administrative policies such as job support and psychological support should be applied because concerns about economic damage differs depending on job type.