Abstract
OBJECTIVE: This study investigated the associations of lifestyle, work environment, and health status with subacute COVID-19 symptoms or postacute sequelae of COVID-19 (PASC). METHODS: The questionnaire was used to collect data on lifestyles, work environment, health status, and coronavirus infection history and sequelae symptoms in a semiconductor packaging plant workers in Taiwan. Univariate and multiple logistic regression analyses were performed to identify the factors associated with the risks of subacute COVID-19 and PASC. RESULTS: This study included 333 subjects, with an average age of 37.6 years. Multivariate logistic regression analysis indicated that night shift work, exercise habit, and prolonged treatment were significant independent predictors of PASC. CONCLUSIONS: Night shift work and prolonged medical treatment were positively associated with PASC, and exercise was negatively associated with PASC. Optimizing work environments and shift schedules can reduce PASC risk.