Dose-response analysis of environmental exposure to multiple metals and their joint effects with fasting plasma glucose among occupational workers.
Dose-response analysis of environmental exposure to multiple metals and their joint effects with fasting plasma glucose among occupational workers.
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DOI：
10.1016/j.chemosphere.2017.08.002
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发表时间：
2017-11
期刊：
影响因子：
8.8
通讯作者：
A. Yang;Simin Liu;Z. Cheng;H. Pu;N. Cheng;Jiao Ding;Juansheng Li;Hai-Yan Li;Xiaobin Hu;X. Ren;Kehu Yang;T. Zheng;Yana Bai
中科院分区：
文献类型：
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作者：
A. Yang;Simin Liu;Z. Cheng;H. Pu;N. Cheng;Jiao Ding;Juansheng Li;Hai-Yan Li;Xiaobin Hu;X. Ren;Kehu Yang;T. Zheng;Yana Bai
目的金属环境暴露可能对心脏代谢健康产生不利影响。然而，很少有数据直接评估金属暴露在血糖中的作用，其中功能障碍与糖尿病有关。我们的目的是评估空腹血糖（FPG）和多种尿金属，包括镍，钴，铜，锌，砷之间的剂量-反应关系，以及检查他们的联合效应之间的职业workers.MethodsWe进行了一项基于人群的研究，464名工人正在进行的职业队列研究在中国。结果尿镍（P非线性= 0.03）和尿锌（P非线性<0.01）与FPG呈J型非线性关系。尿钴与FPG呈线性负相关（P = 0.06），而尿铜、砷与FPG无显著相关性。在线性回归分析中，与第一四分位数相比，第四分位数尿镍浓度的对数转换FPG的回归系数为0.017（95%置信区间[CI]：-0.003，0.038）。尿镍和钴与FPG的联合作用也被检测到（Pfor交互作用= 0.04）。结论在中国金属接触工人中，多种尿金属，特别是镍、锌和钴，与血糖相关，支持金属接触可能在糖尿病发展中起关键作用的观点。
ObjectivesEnvironmental exposure to metals may adversely affect cardiometabolic health. However, little data are available directly evaluating the roles of metal exposure in blood glucose of which dysfunction has been linked to diabetes. We aimed to evaluate the dose-response associations between fasting plasma glucose (FPG) and multiple urinary metals including nickel, cobalt, copper, zinc, and arsenic, as well as to examine their joint effects among occupational workers.MethodsWe performed a population-based study of 464 workers in an ongoing occupational cohort study in China. Both spline and categorical analyses were used to evaluate the dose-response relationship between urinary metals levels and FPG.ResultsWe observed the J-shaped non-linear relationships between urinary nickel (Pnon-linearity = 0.03) and zinc (Pnon-linearity < 0.01) with FPG by spline analyses. A negative linear relationship between urinary cobalt and FPG (Pfor nonlinearity = 0.06) was found, but no statistically significant associations between urinary copper and arsenic with FPG. In linear regression analyses, the regression coefficient for log-transferred FPG was 0.017 (95% confidence intervals [CI]: −0.003, 0.038) in the 4th quartile concentration of urinary nickel, compared with 1st quartile. The joint effects between urinary nickel and cobalt with FPG were also detected (Pfor interaction = 0.04).ConclusionsMultiple urinary metals, particularly nickel, zinc and cobalt, were associated with blood glucose among Chinese metal exposed workers, supporting the notion that metal exposure may play a critical role in diabetes development.