这项初步研究的目的是探讨在不同轮班工作中受雇的钢铁工人代谢异常的风险。钢铁厂的男性工人[16名受雇于快速顺时针旋转(CW),18逆时针缓慢旋转(CC),9天工人(DW);平均年龄43.3±SD6.8岁]在当前工作时间表中至少有5年经验。所有工人在06:00至08:00h之间提供空腹血液样本以获取血浆葡萄糖,胰岛素,apo-脂蛋白A和B(ApoA,ApoB),高密度脂蛋白和低密度脂蛋白(HDL和LDL),总胆固醇(tCH),甘油三酯(TG),最低氧化(mox)LDL,C反应蛋白(CRP),白细胞介素-8(IL-8)和血清25-羟基维生素D(25(OH)D)。计算HOMA指数(稳态模型评估)来评估胰岛素抵抗,β细胞功能和糖尿病风险。人口统计信息,健康,兴奋剂,睡眠,社会和工作生活,通过问卷调查收集了作为昼夜节律中断替代指标的时间型(夹带阶段)和社会时差(工作日睡眠中和自由日之间的差异)。时间型和社交时差均与任何代谢风险血液标志物无关。25(OH)D,ApoA,ApoB,CRP,HDL,IL-8,胰岛素,LDL,mox-LDL,mox-LDL/ApoB比值,三个工作组之间的tCH和TG水平。尽管我们确实观察到其中一些标记的绝对差异,我们研究人群的小样本量可能会阻止这些差异具有统计学意义.与DW和CC相比,CW的空腹血糖和HOMA指数显着降低,表明较低的代谢风险。CW工人空腹血糖和HOMA指数较低的原因仍有待澄清。有必要对不同轮班的工人进行未来研究,以更好地了解轮班对单个工人及其健康指数的不同影响。
The aim of this pilot study was to explore the risk of metabolic abnormalities in steel workers employed in different shift-work rotations. Male workers in a steel factory [16 employed in a fast
clockwise rotation (CW), 18 in slow counterclockwise rotation (CC), 9 day workers (DW); mean age 43.3 ± SD 6.8 years] with at least 5 years experience in their current work schedule participated. All workers provided fasting blood samples between 06:00 and 08:00 h for plasma glucose, insulin, apo-lipoproteins A and B (ApoA, ApoB), high- and low-density lipoproteins (HDL and LDL), total cholesterol (tCH), triglycerides (TG), minimally oxidized (mox) LDL, C-reactive protein (CRP), interleukin-8 (IL-8) and serum 25-hydroxyvitamin D (25(OH)D). HOMA index (homeostatic model assessment) was calculated to evaluate insulin resistance, beta cell function and risk of diabetes. Information on demographics, health, stimulants, sleep, social and work life, chronotype (phase of entrainment) and social jetlag (difference between mid-sleep on workdays and free days) as a surrogate for circadian disruption was collected by questionnaire. Neither chronotype nor social jetlag was associated with any of the metabolic risk blood markers. There were no significant differences in 25(OH)D, ApoA, ApoB, CRP, HDL, IL-8, insulin, LDL, mox-LDL, mox-LDL/ApoB ratio, tCH and TG levels between the three work groups. Although we did observe absolute differences in some of these markers, the small sample size of our study population might prevent these differences being statistically significant. Fasting glucose and HOMA index were significantly lower in CW compared to DW and CC, indicating lower metabolic risk. Reasons for the lower fasting glucose and HOMA index in CW workers remains to be clarified. Future studies of workers in different shift rotations are warranted to understand better the differential effects of shift-work on individual workers and their health indices.