Li Ben, Zhang Qianwen, Chang Xiaohan, Shen Yongmei, Liu Ting, Liang Xiaomin, Gao Qian, Liu Liangpo, Qiu Yulan, Yan Xiaoyan, Huang Jianjun, Wang Tong, Yin Jinzhu
School of Public Health, Shanxi Medical University, Taiyuan, China.
Shanxi Health Commission Key Laboratory of Nervous System Disease Prevention and Treatment, Sinopharm Tongmei General Hospital, 1 Wei 7 Street, Datong, Shanxi, China.
Environ Sci Pollut Res Int. 2023 May;30(22):62892-62904. doi: 10.1007/s11356-023-26452-0. Epub 2023 Mar 23.
Studies have indicated that metal exposure is associated with an increased risk of metabolic syndrome (MetS). However, it is unclear whether overexposure to heavy metals occurs in miners and is associated with MetS risk remains unclear. In a cross-sectional study, analysis for metal exposure levels of 3428 participants from three types of workplaces was conducted. Relationships between metals in urine and MetS were characterized using a multivariate binary logistic regression model and restricted cubic spline analysis. The association between urinary metals and workplaces with respect to MetS was studied via mediation analysis and multiplicative interaction analysis. And a sensitivity analysis was performed to assess the robustness of the association between MetS and urinary metals in participants without obesity (n = 2811). Zn, Cu, Fe, Co, and Ni were found to be associated with MetS in the single-metal models, whereas only Zn and Cu showed considerable associations in the multimetal model. The odds ratios (95% CI) for MetS in the highest quartiles were 2.089 (1.611, 2.707) for urinary Zn and 1.394 (1.084, 1.794) for urinary Cu (both false discovery rate for both was < 0.05). Urinary Zn and Cu were positively associated with hypertriglyceridemia. In addition, higher Zn exposure was confirmed in underground workers than ground workers and office workers, and there was a significant association between urinary metal exposure and workplace, which together influenced the occurrence of MetS. These results provided scientific evidence for the relationship between Zn, Cu, workplaces, and MetS in coal workers and indicated that it is critical to reduce occupational metal exposure, especially in underground workers.
研究表明,接触金属与代谢综合征(MetS)风险增加有关。然而,矿工是否存在重金属过度暴露以及这是否与MetS风险相关尚不清楚。在一项横断面研究中,对来自三种工作场所的3428名参与者的金属暴露水平进行了分析。使用多变量二元逻辑回归模型和受限立方样条分析来描述尿中金属与MetS之间的关系。通过中介分析和乘法交互分析研究了尿中金属与工作场所相对于MetS的关联。并进行了敏感性分析,以评估非肥胖参与者(n = 2811)中MetS与尿中金属关联的稳健性。在单金属模型中,锌、铜、铁、钴和镍与MetS相关,而在多金属模型中只有锌和铜显示出显著关联。尿锌最高四分位数中MetS的比值比(95% CI)为2.089(1.611,2.707),尿铜为1.394(1.084,1.794)(两者的错误发现率均< 0.05)。尿锌和铜与高甘油三酯血症呈正相关。此外,地下工人的锌暴露量高于地面工人和办公室职员,尿金属暴露与工作场所之间存在显著关联,这共同影响了MetS的发生。这些结果为煤矿工人中锌、铜、工作场所与MetS之间的关系提供了科学证据,并表明减少职业性金属暴露至关重要,尤其是在地下工人中。