Association between whole blood metallic elements concentrations and gestational diabetes mellitus in Japanese women: The Japan environment and Children's study
- PMID: 35405127
- DOI: 10.1016/j.envres.2022.113231
Association between whole blood metallic elements concentrations and gestational diabetes mellitus in Japanese women: The Japan environment and Children's study
Abstract
Background: Exposure to several metallic elements has been suggested as a risk factor for gestational diabetes mellitus (GDM), but inconsistent findings have been reported. This study aimed to examine the association between the maternal whole blood concentration of metallic elements (Hg, Pb, Cd, Mn, and Se) and GDM using the dataset of the Japan Environment and Children's Study (JECS), a nationwide birth cohort study, which was designed to examine the adverse effects of pre/post-natal exposure to hazardous environment.
Methods: The data of 78,964 pregnant women who were participants of JECS were used. Blood samples were collected from the pregnant women at second/third trimester of gestation. We employed logistic regression analysis, quantile g-computation (QGC) and a distributed lag nonlinear model (DLNM) to examine the association between the blood concentration of metallic elements and the risk of GDM.
Results: The prevalence of GDM was 2.1%. In the logistic regression analyses, maternal blood Hg was associated with an increased risk of GDM. In QGC analysis, although metallic elements mixtures were not related to an increased risk of GDM, Hg (52.6%) may be the main contributor. According to the results of DLNM, for maternal exposure to Hg, 4.99 ng/g was identified as its susceptible minimum window for elevated risk of GDM.
Conclusions: Our findings highlighted an association between Hg exposure and an increased risk of GDM. Studies of the underlying mechanisms and potential contributing factors, including fish intake, of this association are warranted.
Keywords: Distributed lag nonlinear model; Gestational diabetes mellitus; Mercury; Metallic elements.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
Similar articles
-
Association between Plasma Trace Element Concentrations in Early Pregnancy and Gestational Diabetes Mellitus in Shanghai, China.Nutrients. 2022 Dec 27;15(1):115. doi: 10.3390/nu15010115. Nutrients. 2022. PMID: 36615774 Free PMC article.
-
Association between maternal blood cadmium and lead concentrations and gestational diabetes mellitus in the Japan Environment and Children's Study.Int Arch Occup Environ Health. 2019 Feb;92(2):209-217. doi: 10.1007/s00420-018-1367-7. Epub 2018 Oct 30. Int Arch Occup Environ Health. 2019. PMID: 30377788
-
Heavy metals and trace elements in maternal blood and prevalence of congenital limb abnormalities among newborns: the Japan Environment and Children's Study.Environ Health Prev Med. 2024;29:36. doi: 10.1265/ehpm.23-00366. Environ Health Prev Med. 2024. PMID: 39048352 Free PMC article.
-
The association between whole blood concentrations of heavy metals in pregnant women and premature births: The Japan Environment and Children's Study (JECS).Environ Res. 2018 Oct;166:562-569. doi: 10.1016/j.envres.2018.06.025. Epub 2018 Jun 28. Environ Res. 2018. PMID: 29966876
-
Metalloestrogens exposure and risk of gestational diabetes mellitus: Evidence emerging from the systematic review and meta-analysis.Environ Res. 2024 May 1;248:118321. doi: 10.1016/j.envres.2024.118321. Epub 2024 Feb 1. Environ Res. 2024. PMID: 38307186 Review.
Cited by
-
Association between Plasma Trace Element Concentrations in Early Pregnancy and Gestational Diabetes Mellitus in Shanghai, China.Nutrients. 2022 Dec 27;15(1):115. doi: 10.3390/nu15010115. Nutrients. 2022. PMID: 36615774 Free PMC article.
-
Maternal Exposure to Fine Particulate Matter and Its Chemical Components Increasing the Occurrence of Gestational Diabetes Mellitus in Pregnant Japanese Women.JMA J. 2022 Oct 17;5(4):480-490. doi: 10.31662/jmaj.2022-0141. Epub 2022 Sep 26. JMA J. 2022. PMID: 36407079 Free PMC article.
-
Mixture effects of trace element levels on cardiovascular diseases and type 2 diabetes risk in adults using G-computation analysis.Sci Rep. 2024 Mar 8;14(1):5743. doi: 10.1038/s41598-024-56468-6. Sci Rep. 2024. PMID: 38459117 Free PMC article.
-
Recent advances in the application of ionomics in metabolic diseases.Front Nutr. 2023 Jan 16;9:1111933. doi: 10.3389/fnut.2022.1111933. eCollection 2022. Front Nutr. 2023. PMID: 36726817 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical