A low-carbohydrate dietary pattern characterised by high animal fat and protein during the first trimester is associated with an increased risk of gestational diabetes mellitus in Chinese women: A prospective cohort study

Hongli Dong, Hong Sun, Congjie Cai, Xinxin Pang, Dan Bai, Xi Lan, Yiqi Zhang, Ju Zhang, Guo Zeng
2021 British Journal of Nutrition  
We aimed to examine the association between low-carbohydrate diet (LCD) scores during the first trimester and gestational diabetes mellitus (GDM) risk in a Chinese population. A total of 1455 women were included in 2017. Dietary information during the first trimester was collected by 24-hour dietary recalls for 3 days. The overall, animal and plant LCD scores, which indicated adherence to different low-carbohydrate dietary patterns, were calculated. GDM was diagnosed based on the results of a
more » ... -g, 2-h oral glucose tolerance test at 24-28 weeks gestation. Log-binomial models were used to estimate relative risks (RRs) and 95% confidence intervals (CIs). The results showed that the multivariable-adjusted RRs (95% CIs) of GDM from the lowest to the highest quartiles of the overall LCD score were 1.00 (reference), 1.15 (0.92, 1.42), 1.30 (1.06, 1.60), and 1.24 (1.01, 1.52) (P=0.026 for trend). Multivariable-adjusted RRs (95% CIs) of GDM from the lowest to the highest quartiles of the animal LCD score were 1.00 (reference), 1.20 (0.96, 1.50), 1.41 (1.14, 1.73), and 1.29 (1.04, 1.59) (P=0.002 for trend). After additional adjustment for gestational weight gain before GDM diagnosis, the association of the overall LCD score with GDM risk was non-significant, while the association of animal LCD score with GDM risk remained significant. There was no statistically significant association between the plant LCD score and the risk of GDM. In conclusion, a low-carbohydrate dietary pattern characterised by high animal fat and protein during the first trimester is associated with an increased risk of GDM in Chinese women.
doi:10.1017/s0007114521000611 fatcat:5ewfbznug5hebb7avprznj2mye