Cheng Fu-Jen, Chuang Yi-Ping, Pan Hsiu-Yung, Hsieh Ting-Min, Hsu Bing-Mu, Hsu Ping-Chi
From the Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan (F.-J.C., H.-Y.P.); Kaohsiung Chang Gung Memorial Hospital, Institute for Translational Research in Biomedicine, Kaohsiung City, Taiwan (F.-J.C.); Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan (Y.-P.C., P.-C.H.); Division of Trauma, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan (T.-M.H.); Department of Earth and Environmental Sciences, National Chung Cheng University, Chiayi County, Taiwan (B.-M.H.); Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan (P.-C.H.); and Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City, Taiwan (P.-C.H.).
J Occup Environ Med. 2025 Sep 1;67(9):e655-e661. doi: 10.1097/JOM.0000000000003452. Epub 2025 May 20.
This study investigated the associations of lifestyle, work environment, and health status with subacute COVID-19 symptoms or postacute sequelae of COVID-19 (PASC).
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.
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.
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.
本研究调查了生活方式、工作环境和健康状况与新冠病毒感染疾病19（COVID-19）亚急性期症状或新冠病毒感染疾病19后遗症（PASC）之间的关联。
采用问卷调查收集台湾一家半导体封装厂工人的生活方式、工作环境、健康状况、冠状病毒感染史及后遗症症状等数据。进行单因素和多因素逻辑回归分析，以确定与亚急性COVID-19和PASC风险相关的因素。
本研究纳入333名受试者，平均年龄37.6岁。多因素逻辑回归分析表明，夜班工作、运动习惯和长期治疗是PASC的重要独立预测因素。
夜班工作和长期治疗与PASC呈正相关，运动与PASC呈负相关。优化工作环境和轮班安排可降低PASC风险。
