Association of dietary glycemic index and glycemic load with the risk of gestational diabetes mellitus: a systematic review and dose-response meta-analysis.

Autor: Zhang Y; Department of Obstetrics and Gynecology, People's Hospital of Chongqing Banan District, Banan Hospital of Chongqing Medical University, Chongqing, China., Feng H; Department of Obstetrics and Gynecology, Liaocheng People's Hospital and Liaocheng Clinical School of Shandong First Medical University, Shandong, Liaocheng, China., Li X; Department of Obstetrics and Gynecology, People's Hospital of Chongqing Banan District, Banan Hospital of Chongqing Medical University, Chongqing, China., Chen Q; Department of Obstetrics and Gynecology, People's Hospital of Chongqing Banan District, Banan Hospital of Chongqing Medical University, Chongqing, China., Shao R; School of Clinical Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, China.; Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing, China., Wang C; Department of Obstetrics and Gynecology, People's Hospital of Chongqing Banan District, Banan Hospital of Chongqing Medical University, Chongqing, China., Gao Y; Department of Obstetrics and Gynecology, Liaocheng People's Hospital and Liaocheng Clinical School of Shandong First Medical University, Shandong, Liaocheng, China.
Jazyk: angličtina
Zdroj: Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology [Gynecol Endocrinol] 2024 Dec; Vol. 40 (1), pp. 2375564. Date of Electronic Publication: 2024 Jul 08.
DOI: 10.1080/09513590.2024.2375564
Abstrakt: Objective: To comprehensively assess the dose-response association between dietary glycemic index (GI) and glycemic load (GL) and gestational diabetes mellitus (GDM) risk.
Methods: PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, and VIP databases were searched up to May 29, 2024. Studies with at least three exposure categories were included. Dose-response analysis was also performed when covariates were adjusted in the included studies.
Results: Thirteen studies involving 39,720 pregnant women were included. A linear relationship was found between GI and the risk of GDM (χ 2 = 4.77, P non-linearity = .0923). However, association was not significant (χ 2 = 0.06, p  = .8000). For every unit increase in GI (range 0-30), GDM risk increased by 0.29%. After adjusting for covariates, the linear relationship persisted (χ 2 = 4.95, P non-linearity = .084) with no significant association (χ 2 = 0.08, p  = .7775). For GL, a linear relationship was also found (χ 2 = 4.17, P non-linearity =.1245), but GL was not significantly associated with GDM risk (χ 2 = 2.63, p  = .1049). The risk of GDM increased by 0.63% per unit increase in GL. After covariate adjustment, a significant association was observed (χ 2 = 6.28, p  = .0122).
Conclusion: No significant association between GI and GDM risk was found. After adjusting for covariates, GL shows a significant association with GDM risk. Our findings emphasize the importance of considering dietary GL in managing the risk of GDM. Future research should continue to explore these relationships with standardized diagnostic criteria and robust adjustment for potential confounders.
Databáze: MEDLINE
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