轮班工作在现代社会中变得越来越普遍。轮班工作与一系列负面健康结果有关。因此,这项为期10年的回顾性队列研究,旨在探讨轮班工作与血液和代谢参数之间的关系。这项回顾性队列研究于2023年在金属零件制造行业进行。在这项研究中,对204名轮班工人和204名日间工人进行了检查。所有研究的血液和代谢参数都是通过回顾10年(2013-2022年)期间所有参与者的医疗记录来收集的。此外,身体的数量,化学,和工效学有害物质在工作环境中进行了调查。使用SPSS版本25.0对收集的所有数据进行分析。身体质量指数(BMI)的值,红细胞计数(RBC),血小板计数(PLT),促甲状腺激素水平(TSH),空腹血糖水平(FBS),肌酐,甘油三酯(TG),肝酶水平(SGOT和SGPT),轮班工作员工的收缩压(SBP)较高,两组之间的这些参数值之间存在显着差异。logistic回归结果表明,轮班对FBS参数的影响最大,TG,SGPT,TSH,身体活动,BMI,睡眠时间,PLT,和睡眠质量的β系数值为0.49、0.33、0.29、0.29、0.20、0.18、0.14、0.13和,分别为0.11(p值<0.01)。本研究有助于越来越多的证据表明血液和代谢因素可能受到轮班工作的影响。这些发现对政策制定者具有重要意义,强调需要采取干预措施来减轻轮班工作对工人的负面健康影响。
Shift work has become increasingly common in modern society. Shift work has been associated with a range of negative health outcomes. Therefore, this 10-years retrospective cohort study, aimed to investigate the relationship between shift work and blood and metabolic parameters. This retrospective cohort study was conducted in a metal parts manufacturing industry in 2023. In this study, 204 shift workers and 204 day workers were examined. All the studied blood and metabolic parameters were collected by reviewing the medical records of all participants during a 10-years period (2013-2022). Moreover, the amounts of physical, chemical, and ergonomics harmful agents in the work environment were investigated. All the collected data were analyzed using SPSS version 25.0. The values of Body Mass Index (BMI), Red Blood Cell Count (RBC), Platelets Count (PLT), Thyroid-Stimulating Hormone Level (TSH), Fasting Blood Sugar Level (FBS), Creatinine, Triglyceride (TG), Liver Enzymes level (SGOT and SGPT), and Systolic Blood Pressure (SBP) were higher among the shift work employees, and a significant difference was observed between the values of these parameters between the two groups. The results of logistic regression showed that the highest effect of shift work was observed on the parameters of FBS, TG, SGPT, TSH, Physical activity, BMI, Sleep duration, PLT, and Sleep quality with beta coefficient values of 0.49, 0.33, 0.29, 0.29, 0.20, 0.18, 0.14, 0.13 and, 0.11, respectively (p-value < 0.01). The present study contributes to a growing body of evidence that blood and metabolic factors are likely to be influenced by shift work. These findings have important implications for policy makers, highlighting the need for interventions to mitigate the negative health effects of shift work on workers.