PMID- 34837624 OWN - NLM STAT- MEDLINE DCOM- 20230310 LR - 20230310 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 10 DP - 2023 Feb TI - Associations of bisphenol exposure with the risk of gestational diabetes mellitus: a nested case-control study in Guangxi, China. PG - 25170-25180 LID - 10.1007/s11356-021-17794-8 [doi] AB - A growing number of epidemiologic studies have estimated the associations between endocrine-disrupting chemicals and gestational diabetes mellitus (GDM). However, reports on the association between bisphenol A (BPA) substitutes and GDM are limited. This investigation aimed to explore the associations of maternal serum BPA, bisphenol B (BPB), bisphenol F (BPF), bisphenol S (BPS), and tetrabromobisphenol A (TBBPA) with the risk of GDM. A nested case-control study was performed among 500 pregnant women. In conditional logistic regression models, the OR for BPS was significantly increased in the medium exposure groups (OR = 1.77; 95% CI: 1.01, 3.13) compared with the reference group, while BPA (OR: 0.38, 95%CI: 0.29, 0.50) and TBBPA (OR: 0.67, 95%CI: 0.54, 0.85) were negatively associated with the risk of GDM. In the Bayesian kernel machine regression (BKMR) analysis, the joint effect of bisphenols was positively associated with the risk of GDM. BPS showed positively relationship, while BPA and TBBPA showed negatively relationship, respectively. The quantile g-computation revealed a statistically significant and negative joint effect of the five bisphenols on the risk of GDM (OR: 0.57; 95% CI: 0.46, 0.72) with BPA (70.2%), TBBPA (21.3%), and BPB (8.5%) had positive contribution to the overall effect. These findings suggested that BPS had a positive effect on the risk of GDM, while BPA and TBBPA had negative effect on the risk of GDM. Moreover, exposure to the mixture of the five bisphenols was negatively associated with the risk of GDM. CI - (c) 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Tang, Peng AU - Tang P AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Liang, Jun AU - Liang J AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Liao, Qian AU - Liao Q AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Huang, Huishen AU - Huang H AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Guo, Xiaojing AU - Guo X AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Lin, Mengrui AU - Lin M AD - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Liu, Bihu AU - Liu B AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Wei, Bincai AU - Wei B AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Zeng, Xiaoyun AU - Zeng X AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. FAU - Liu, Shun AU - Liu S AD - Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. liushun@gxmu.edu.cn. FAU - Huang, Dongping AU - Huang D AD - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. dongpinghuang@gxmu.edu.cn. FAU - Qiu, Xiaoqiang AU - Qiu X AUID- ORCID: 0000-0001-9881-3664 AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. xqqiu9999@163.com. LA - eng GR - AB17195012/Guangxi Key Research Program/ GR - 81860587/National Natural Science Foundation of China/ PT - Journal Article DEP - 20211127 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - MLT3645I99 (bisphenol A) RN - 1RC731TJJA (bisphenol B) RN - 0 (Benzhydryl Compounds) RN - 80-09-1 (bis(4-hydroxyphenyl)sulfone) SB - IM MH - Humans MH - Pregnancy MH - Female MH - *Diabetes, Gestational/chemically induced/epidemiology MH - Case-Control Studies MH - Bayes Theorem MH - China/epidemiology MH - Benzhydryl Compounds OTO - NOTNLM OT - Bisphenol OT - Gestational diabetes mellitus OT - Joint effect models OT - Nested case-control study EDAT- 2021/11/28 06:00 MHDA- 2023/03/11 06:00 CRDT- 2021/11/27 12:08 PHST- 2021/08/31 00:00 [received] PHST- 2021/11/23 00:00 [accepted] PHST- 2021/11/28 06:00 [pubmed] PHST- 2023/03/11 06:00 [medline] PHST- 2021/11/27 12:08 [entrez] AID - 10.1007/s11356-021-17794-8 [pii] AID - 10.1007/s11356-021-17794-8 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 Feb;30(10):25170-25180. doi: 10.1007/s11356-021-17794-8. Epub 2021 Nov 27.