Chai Seong-Ryol, Kwon Soon-Chan, Lee Yong-Jin, Jang Eun-Chul, Min Young-Sun, Lee Su-Yeon
Department of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Ann Occup Environ Med. 2021 Oct 22;33:e31. doi: 10.35371/aoem.2021.33.e31. eCollection 2021.
The study aimed to determine the association between shift work and metabolic syndrome and the prevalence of metabolic syndrome in the shift and day work groups among workers working in chemical plants.
Based on medical examination data collected in February 2019, 3,794 workers working at a chemical plant in Korea were selected. Multiple logistic regression analysis was performed by adjusting for age, sex, body mass index (BMI), drinking, exercise, smoking, employment period and organic compounds exposure.
The prevalence of metabolic syndrome in the entire study group was 23.4%, and the prevalence and components of metabolic syndrome in shift worker; waist circumference were higher than those of day workers (84.77 ± 8.64 vs. 83.41 ± 9.42, < 0.001), systolic blood pressure (129.89 ± 9.47 vs. 127.57 ± 9.47, < 0.001), diastolic blood pressure (81.22 ± 7.59 vs. 79.34 ± 7.46, < 0.001), fasting blood glucose (99.27 ± 17.13 vs. 97.87 ± 13.07, = 0.007), triglycerides (149.70 ± 101.15 vs. 133.55 ± 105.17, < 0.001), and decreased high-density lipoprotein (53.18 ± 12.82 vs. 55.61 ± 14.17, < 0.001). As a result of logistic regression analysis on the risk of metabolic syndrome, even after adjusting for age, sex BMI, drinking, smoking, exercise, employment period, organic compound exposure. the odds ratio (OR) for the shift group was 1.300 for daytime workers (Model 1, OR: 1.491; 95% confidence interval [CI]: 1.273-1.747; Model 2, OR: 1.260; 95% CI: 1.070-1.483; Model 3, OR: 1.309, 95% CI: 1.081-1.585; Model 4, OR: 1.300; 95% CI: 1.063-1.591).
Shift work in chemical plant workers increased the risk of metabolic syndrome, even after adjusting for general factors. To analyze the occupational cause and risk control, it is necessary to analyze the hazardous substances the workers were exposed to and their working environment. Additionally, a large-scale prospective analysis including general factors not analyzed in this study, such as eating habits, is required.
本研究旨在确定化工厂工人中轮班工作与代谢综合征之间的关联以及轮班和日班工作组中代谢综合征的患病率。
基于2019年2月收集的医学检查数据，选取了韩国一家化工厂的3794名工人。通过对年龄、性别、体重指数（BMI）、饮酒、运动、吸烟、工作年限和有机化合物暴露进行调整后，进行多因素逻辑回归分析。
整个研究组中代谢综合征的患病率为23.4%，轮班工人代谢综合征的患病率及其组成部分；腰围高于日班工人（84.77±8.64 vs. 83.41±9.42，<0.001），收缩压（129.89±9.47 vs. 127.57±9.47，<0.001），舒张压（81.22±7.59 vs. 79.34±7.46，<0.001），空腹血糖（99.27±17.13 vs. 97.87±13.07，=0.007），甘油三酯（149.70±101.15 vs. 133.55±105.17，<0.001），高密度脂蛋白降低（53.18±12.82 vs. 55.61±14.17，<0.001）。对代谢综合征风险进行逻辑回归分析的结果显示，即使在对年龄、性别、BMI、饮酒、吸烟、运动、工作年限、有机化合物暴露进行调整后。轮班组与日班工人相比的优势比（OR）为1.300（模型1，OR：1.491；95%置信区间[CI]：1.273 - 1.747；模型2，OR：1.260；95%CI：1.070 - 1.483；模型3，OR：1.309，95%CI：1.081 - 1.585；模型4，OR：1.300；95%CI：1.063 - 1.591）。
即使在调整一般因素后，化工厂工人的轮班工作仍增加了代谢综合征的风险。为分析职业原因和风险控制，有必要分析工人接触的有害物质及其工作环境。此外，需要进行大规模前瞻性分析，包括本研究未分析的一般因素，如饮食习惯。
