Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China

• DOI: 10.1016/j.envint.2021.106770
• Publication Date: 2021-07-24T11:57:23Z
• Authors: Xiaoqian Jia; Le Zhang; Jing Zhao; Mengyuan Ren; Zewu Li; Jiamei Wang; Shuo Wang; Yingying Liu; Hang An; Yuhuan Li; Lailai Yan; Zhiwen Li; Xiaohong Liu; Bo Pan; Rongwei Ye
• Keywords: Nested case-control study

Exposure to environmental endocrine disruptors (EDCs) may lead abnormal glucose metabolism and, potentially, gestational diabetes mellitus (GDM). We investigated the association between five endocrine-disrupting heavy metals (EDHMs), i.e., arsenic (As), cadmium (Cd), (Pb), mercury (Hg), and tin (Sn), in maternal hair risk of GDM. conducted a nested case-control study including 335 GDM cases 343 controls without based on prospective birth cohort established Beijing, China. Concentrations EDHMs were analyzed hair. Log-binomial regression multiple linear used estimate associations concentrations single GDM, while weighted quantile sum (WQS) for their mixed effects. The median Hg (0.442 vs. 0.403 μg/g) Sn (0.171 0.140 case group significantly higher than those control group. No differences found two groups other three metals. After adjusting confounders, prevalence ratio (PR; highest lowest tertile) was 1.27 (95% confidence interval [CI]: 1.05–1.54), that 1.26 CI: 1.04–1.53). Among women with body mass index < 24 kg/m2, PR (highest 1.38 1.09–1.75). effect exposure estimated by WQS regression: made largest contributions (40.9% 40.3%, respectively). High levels EDHMs, particularly Hg, promote development