Maternal age and the risk of gestational diabetes mellitus: A systematic review and meta-analysis of over 120 million participants

Li, Yueyi; Ren, Xinghua; He, Lilan; Li, Jing; Zhang, Shiyi; Chen, Wei‐Ju

doi:10.1016/j.diabres.2020.108044

Cited by 159 publications

(124 citation statements)

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“…Recently, a meta-analysis demonstrates that the risk of GDM increases linearly with successive age-groups. [ 38 ] Subgroup analyses also indicated that from the age of 25, Asian women had a significantly higher risk of developing GDM than Europid women. On the other hand, the average age of childbearing over the past 4 decades has been increasing.…”

Section: Discussionmentioning

confidence: 99%

Seasonality of gestational diabetes mellitus and maternal blood glucose levels

Wang

Li³

et al. 2020

Medicine

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Previous studies have indicated that the prevalence of gestational diabetes mellitus (GDM) was related to the season. However, there was no relevant information in Asia. The aim of this study was to determine whether there was seasonality of GDM and maternal blood glucose level in Taiwanese women. A total of 6396 pregnancies were enrolled between 2012 and 2014 in this retrospective study. A 2-step approach according to the Carpenter-Coustan criteria was used for GDM diagnosis. A generalized linear mixed model was used to estimate the effect of season on GDM diagnosis by adjusting for age, prepregnancy body mass index, parity, history of GDM, fetal sex, and the rate of weight gain. During the study period, 418 (6.5%) pregnancies were diagnosed as GDM. The model demonstrated an increased prevalence of GDM in spring and summer (odds ratio: 1.59, 95% confidence interval: 1.13–2.24; odds ratio: 1.59, 95% confidence interval: 1.14–2.23, respectively) compared to winter. For the glucose level variation, the model demonstrated an increase of 2.56 mg/dL glucose in the 50-g glucose challenge test in summer compared to winter. In glucose challenge test-positive pregnancies, the season also had an effect on the results of the 100-g 1-h, 2-h, and 3-h oral glucose tolerance tests, but no effect on the 100-g fasting oral glucose tolerance tests. GDM prevalence in Taiwan presents seasonal variation, with the highest risk during spring and summer due to post-glucose load level variations. These findings could serve as reference data for countries in Southeast Asia or areas with a similar climate.

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Section: Discussionmentioning

confidence: 99%

Seasonality of gestational diabetes mellitus and maternal blood glucose levels

Wang

Li³

et al. 2020

Medicine

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“…This risk continued to incrementally increase, and it reached 6.4 in those of 35-39 years old, and 9.6 in those greater than 40 years old. 35 The mean maternal age in our study was 33 years, and this might contribute to further increase their risk to develop GDM, leading to higher CHD risk. The implications of these findings are versatile.…”

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confidence: 75%

“…The relationship between maternal age and GDM has been described in the literature. Li et al 35 demonstrated that the risk of GDM linearly increases with successive age groups. The overall risk was 3.2 in mothers aged 30-34 years compared to those aged 20-24 years.…”

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confidence: 99%

Risk factors for transposition of the great arteries in Saudi population

Alfarhan

Alquayt

Alshalhoub

et al. 2020

SMJ

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5¹«dAÃ« q¹b³ð-uDð vKŽ U¼dOŁQðË WKL²;« dD)« qÄ«uŽ rOOI²Ã ∫•«b¼_‫ا‬ AE©TGA® …dO³JÃ«-s¹cÃ« v{d*« lOL' wFł-dŁQÐ ôUŠ WÝ«-oe X¹dł√ ∫WO−NM*« e¹eFÃ« b³Ž pK*« WM¹bÄ w Â2016 Ë Â1999 wÄUŽ 5Ð TGA ? Ð rNBO Að fM'«Ë dLFÃ« jÐ«u{ b¹b%-AEW¹oeuF Ã« WOÐdFÃ« WJKL*« ¨ ÷U¹dÃ« ¨WO³DÃ« qL(« ÍdJÝË »-UÁ_« Ã«Ë" pÃ-w U0 ¨dD)« qÄ«uŽ XFLł AEWIÐUD²*«-AE UNÄ_« R UJðË s¹bÃ«uÃ« dLŽË WOIK)« VKIÃ« ÷«dÄ_ wKzUFÃ« a¹-U²Ã«Ë AETGA d¹uDð vKŽ dD)« qÄ«uŽ-UŁ¬ qOK×²Ã-«b×½ô« Ã-u/ Â«b ²Ý« w Èd³JÃ« 5¹«dAÃ« q¹b³ð lÄ v{dÄ 206 tŽuL−Ä UMK−Ý ∫ZzU²MÃ« WDO Ð TGA vÃ≈ …dO³JÃ« 5¹«dAÃ« q¹b³ð ôUŠ rO Ið-AEWÝ«-bÃ«-¨WÝË-b*« ôU(« w AE446 …-U² *« WO×BÃ« jÐ«uCÃ« X½UÂ AE…bIFÄË w qL(« ÍdJÝ hO Að-Ë ¨ ôU(« sÄ ©46%® 95 w WÐ«dÁ vKŽ-u¦FÃ« sÄ bÂRÄ wKzUŽ a¹-Uð UN¹bÃ ©17%® 35Ë ¨ UNÄ_« sÄ ©17.5%® 36 ¨jÐ«uCÃUÐ ôU×KÃ dD)« qÄ«uŽ W½-UIÄ X9 UÄbMŽ AE WOIK)« VKIÃ« ÷«dÄ√ sÄ dO³Â qJAÐ b¹eð R UJ²Ã«Ë ¨Â_« dLŽË ¨qL(« ÍdJÝË ¨WÐ«dIÃ« Ê√ błË AETGA ÀËbŠ U0 …dO³JÃ« 5¹«dAÃ« q¹b³ð-uD²Ã …dO³Â dDš qÄ«uŽ UM²Ý«-oe dNþ« ∫W ö)« wKzUFÃ« a¹-U²Ã«Ë ¨qL(« ÍdJÝË ¨vÃË_« Wł-bÃ« sÄ »-UÁ_« Ã«Ë" pÃ-w sÄ qÄ«uFÃ« Ác¼ oe«" AER UJ²Ã«Ë Â_« dLŽ …oeU¹"Ë ¨WOIK)« WO³KIÃ« U¼uA²KÃ AEqÁ_« vKŽ 5HF{-«bI0 dD)« Objectives: To assess potential risk factors and their effect on the development of transposition of the great arteries (TGA). Methods: A retrospective case-control study of all patients diagnosed with TGA between 1999 to 2016 at King Abdulaziz Medical City, Riyadh, Saudi Arabia. Age and gender-matched controls were selected. Risk factors, including consanguinity, gestational diabetes, family history of congenital heart disease, parental age, and maternal parity, were collected. Regression modeling was used to analyze the effects of risk factors on the development of TGA. Results: A total of 206 patients with transposition of the great arteries were enrolled in the study. Transposition of the great arteries cases were divided into simple and complex TGA. Selected healthy Original Article controls were 446. In the studied cases, consanguinity was found in 95 (46%) of cases, gestational diabetes was diagnosed in 36 (17.5%) mothers, and 35 (17%) had a confirmed family history of congenital heart disease. When risk factors of the cases were compared to the controls, consanguinity, gestational diabetes, maternal age, and parity were found to significantly increase the incidence of TGA. Conclusion: Our study revealed significant risk factors for the development of transposition of great arteries including first degree consanguineous marriages, gestational diabetes, family history of congenital cardiac anomalies, and increasing maternal age and parity. These factors increased the risk by at least 2 folds.

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“…Advance maternal age was identified as a risk factor for GDM (3,10,11). A Dose-response analysis reported a positive linear relationship between GDM risk and maternal age, and GDM risk of the Asian increased by 12.74% for each 1-year increase from 18 years (12). Women with age ≥35 years are commonly related to adverse pregnancy outcomes, and those aged 45 years old and older had the highest risk (13).…”

Section: Introductionmentioning

confidence: 99%