XIA Shuangbo 1,2 , ZHANG Jinjuan 1,2 , CHEN Xue 1,2,3 , DU Yushan 1,2 , LIU Jufen 1,2
  • 1. Institute of Reproductive and Child Health/National Health Commission, Key Laboratory of Reproductive Health, Beijing 100191, P. R. China;
  • 2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China;
  • 3. School of Public Health, Bengbu Medical College, Bengbu 233000, P. R. China;
LIU Jufen, Email: liujufen@bjmu.edu.cn
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Objective To systematically review the association between folic acid supplementation before and/or during pregnancy and the risk for gestational diabetes mellitus (GDM). Methods The PubMed, EMbase, The Cochrane Library, SinoMed and CNKI databases were searched to collect studies on folic acid supplementation and GDM from inception to November 2021. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. Results A total of 19 studies involving 53 128 cases were included. The results of meta-analysis showed that there was no significant association between folic acid supplementation and the risk for GDM (RR=0.98, 95%CI 0.85 to 1.13, P=0.74). Subgroup analysis revealed that folic acid supplementation was associated with a decreased risk for GDM in Europe and the United States (RR=0.81, 95%CI 0.71 to 0.92, P<0.001), in areas that fortified grain cereal products with folic acid (RR=0.81, 95%CI 0.69 to 0.94, P=0.005). Conclusion There is no significant association between folic acid supplementation and the risk for GDM. However, supplementation may decrease the risk for GDM among women in Europe and the United States. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.

Citation: XIA Shuangbo, ZHANG Jinjuan, CHEN Xue, DU Yushan, LIU Jufen. Association between folic acid supplementation and the risk for gestational diabetes mellitus: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2022, 22(12): 1445-1452. doi: 10.7507/1672-2531.202207061 Copy

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