Zu Ping, Wang Haixia, Zhang Lei, Bian Haoran, Bian Jingfeng, Jiang Nan, Luo Wei, Xu Min, Xu Jirong, Jiang Xiaomin, Tao Ruixue, Zhu Peng
Department of Maternal, Child and Adolescent Health, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230022, China.
MOE Key Laboratory of Population Health Across Life Cycle, Hefei 230022, China.
J Clin Endocrinol Metab. 2025 Feb 18;110(3):e741-e749. doi: 10.1210/clinem/dgae238.
The putative association between pro-inflammatory and hyperinsulinemic dietary patterns and susceptibility to gestational diabetes mellitus (GDM) remains unclear.
We aimed to compare the risk associated with the Mediterranean diet, as well as insulinemic and pro-inflammatory dietary patterns, in relation to the occurrence of GDM, and evaluate their predictive value.
We prospectively followed 8495 women from the Maternal and Infant Health cohort in Hefei, China (2015-2021). Using a food frequency questionnaire, we calculated the empirical dietary inflammatory pattern (EDIP), the empirical dietary index for hyperinsulinemia (EDIH) score, and the Mediterranean diet (MD) score. GDM was diagnosed based on a 2-hour 75-gram oral glucose tolerance test conducted between 24 to 28 weeks of gestation. Logistic regression was used to estimate the risk of GDM, while receiver operating characteristic (ROC) curves were constructed to evaluate the predictive performance of the empirical dietary index for GDM.
Participants who followed hyperinsulinemic or pro-inflammatory dietary patterns to the greatest extent had a higher risk of developing GDM. The odds ratio (OR) for the highest quartile compared to the lowest quartile were 1.39 (95% CI, 1.30-1.49) for EDIH and 2.40 (95% CI, 1.88-3.01) for EDIP. The OR for the lowest quartile compared to the highest quartile was 1.33 (95% CI, 1.14-1.55) for MD. The ROC curve analysis indicated that the combination of EDIP and EDIH (AUC = 0.81; 95% CI, 0.78-0.82; P = .003) can effectively predict the occurrence of GDM.
Utilizing both empirical dietary indexes, EDIP and EDIH, might offer a potentially more effective approach in preventing GDM when compared to solely focusing on adherence to the MD pattern.
促炎和高胰岛素血症饮食模式与妊娠期糖尿病(GDM)易感性之间的假定关联仍不明确。
我们旨在比较地中海饮食以及胰岛素血症和促炎饮食模式与GDM发生相关的风险,并评估它们的预测价值。
我们对来自中国合肥母婴健康队列的8495名女性进行了前瞻性随访(2015 - 2021年)。使用食物频率问卷,我们计算了经验性饮食炎症模式(EDIP)、高胰岛素血症经验性饮食指数(EDIH)得分和地中海饮食(MD)得分。GDM根据在妊娠24至28周之间进行的2小时75克口服葡萄糖耐量试验进行诊断。使用逻辑回归估计GDM的风险,同时构建受试者工作特征(ROC)曲线以评估GDM经验性饮食指数的预测性能。
在最大程度上遵循高胰岛素血症或促炎饮食模式的参与者患GDM的风险更高。与最低四分位数相比,最高四分位数的EDIH比值比(OR)为1.39(95%CI,1.30 - 1.49),EDIP为2.40(95%CI,1.88 - 3.01)。与最高四分位数相比,MD最低四分位数的OR为1.33(95%CI,1.14 - 1.55)。ROC曲线分析表明,EDIP和EDIH的组合(AUC = 0.81;95%CI,0.78 - 0.82;P = 0.003)可以有效预测GDM的发生。
与仅关注遵循MD模式相比,同时使用经验性饮食指数EDIP和EDIH可能为预防GDM提供一种潜在更有效的方法。