Abstract
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.
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Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors really appreciate all the participants who collaborated with this study and donated serum samples as well as all staff for assisting in collecting the samples and data.
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This research was supported by Guangxi Key Research Program (AB17195012) and the National Natural Science Foundation of China (81860587).
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Peng Tang: methodology, formal analysis, writing (original draft), visualization. Jun Liang: methodology, investigation, data curation, validation. Qian Liao: methodology, validation, investigation. Huishen Huang: validation, investigation. Xiaojing Guo: validation, investigation. Mengrui Lin: investigation. Bihu Liu: investigation. Bincai Wei: investigation. Xiaoyun Zeng: writing (review and editing), supervision. Shun Liu: writing (review and editing), supervision. Dongping Huang: methodology, writing (review and editing), supervision, funding acquisition. Xiaoqiang Qiu: project administration, resources, data curation, writing (review and editing), supervision, funding acquisition.
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Tang, P., Liang, J., Liao, Q. et al. Associations of bisphenol exposure with the risk of gestational diabetes mellitus: a nested case–control study in Guangxi, China. Environ Sci Pollut Res 30, 25170–25180 (2023). https://doi.org/10.1007/s11356-021-17794-8
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DOI: https://doi.org/10.1007/s11356-021-17794-8