Impact of bisphenol A exposure on the risk of gestational diabetes: a meta-analysis of observational studies
- PMID: 39610499
- PMCID: PMC11599497
- DOI: 10.1007/s40200-024-01485-5
Impact of bisphenol A exposure on the risk of gestational diabetes: a meta-analysis of observational studies
Abstract
Purpose: A growing number of evidence have assessed the association between bisphenol A (BPA) as an endocrine-disrupting agent and the risk of gestational diabetes (GDM). This meta-analysis aimed to reassess the data on the association of BPA levels in women with GDM compared to the control.
Methods: A comprehensive literature search was conducted in Medline, Embase, Scopus, and Web of Science to extract relevant published studies up to May 2024. 12 articles were included in the meta-analysis. DerSimonian and Liard random-effects model was used to estimate the pooled odds ratio (OR). Sensitivity analysis was conducted to assess the robustness of the pooled results by removing each study from the pooled effect size. Subgroup analyses were performed depending on the subgroups of gestational age, GDM trimester, BMI, study design and geographical area.
Results: The results showed that there was no significant association between circulating and urinary BPA concentrations with the risk of GDM (OR: 0.79; 95% CI 0.60-1.04; P = 0.095). No significant heterogeneity was found among the studies. Using Begg's correlation (P = 0.95) and Egger's linear regression (P = 0.86) tests, no publication bias was observed. The sensitivity analysis shows that our findings were completely robust and stable. Meta-regression indicated a significant association between BPA levels and study design and geometric mean as an index of the risk of GDM.
Conclusion: The present meta-analysis demonstrates exposure to BPA was associated with a reduced risk of GDM. Further studies are needed for obtain the reliable results.
Keywords: Bisphenol A; Gestational diabetes; Meta-analysis; Pregnancy.
© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Conflict of interest statement
Conflict of interestThe authors declare have no conflict of interest.
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