Yang Aimin, Liu Simin, Cheng Zhiyuan, Pu Hongquan, Cheng Ning, Ding Jiao, Li Juansheng, Li Haiyan, Hu Xiaobin, Ren Xiaowei, Yang Kehu, Zheng Tongzhang, Bai Yana
Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China; Department of Epidemiology, School of Public Health, Brown University, Providence, RI, 02912, USA.
Department of Epidemiology, School of Public Health, Brown University, Providence, RI, 02912, USA; Department of Medicine (Endocrinology), Rhode Island Hospital and the Alpert Medical School, Brown University, Providence, RI, 02908, USA.
Chemosphere. 2017 Nov;186:314-321. doi: 10.1016/j.chemosphere.2017.08.002. Epub 2017 Aug 3.
Environmental 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.
We 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.
We observed the J-shaped non-linear relationships between urinary nickel (P non-linearity = 0.03) and zinc (P non-linearity < 0.01) with FPG by spline analyses. A negative linear relationship between urinary cobalt and FPG (P for 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 (P for interaction = 0.04).
Multiple 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.
环境中金属暴露可能对心脏代谢健康产生不利影响。然而,直接评估金属暴露在血糖(其功能障碍与糖尿病有关)中作用的数据很少。我们旨在评估空腹血糖(FPG)与多种尿金属(包括镍、钴、铜、锌和砷)之间的剂量反应关系,并研究它们在职业工人中的联合作用。
在中国一项正在进行的职业队列研究中,我们对464名工人进行了基于人群的研究。采用样条分析和分类分析来评估尿金属水平与FPG之间的剂量反应关系。
通过样条分析,我们观察到尿镍(P非线性 = 0.03)和锌(P非线性 < 0.01)与FPG之间呈J形非线性关系。发现尿钴与FPG之间呈负线性关系(非线性P = 0.06),但尿铜和砷与FPG之间无统计学显著关联。在线性回归分析中,与第一四分位数相比,尿镍第四四分位数浓度下log转换后的FPG回归系数为0.017(95%置信区间[CI]:-0.003,0.038)。还检测到尿镍和钴与FPG之间的联合作用(交互作用P = 0.04)。
多种尿金属,特别是镍、锌和钴,与中国金属暴露工人的血糖有关,支持金属暴露可能在糖尿病发生中起关键作用的观点。