scholarly journals Maternal dietary patterns and risk of gestational diabetes mellitus in twin pregnancies: a longitudinal twin pregnancies birth cohort study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wen ◽  
Huisheng Ge ◽  
Juan Qiao ◽  
Lan Zhang ◽  
Xuyang Chen ◽  
...  
Chemosphere ◽  
2020 ◽  
Vol 246 ◽  
pp. 125732 ◽  
Author(s):  
Qianqian Zhang ◽  
Xiaona Li ◽  
Xin Liu ◽  
Moran Dong ◽  
Jianpeng Xiao ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 405 ◽  
Author(s):  
Jiajin Hu ◽  
Emily Oken ◽  
Izzuddin Aris ◽  
Pi-I Lin ◽  
Yanan Ma ◽  
...  

Dietary patterns during pregnancy have been shown to influence the development of gestational diabetes mellitus (GDM). However, evidence from Asian populations is limited and inconsistent. We conducted a prospective cohort study in China to assess the relationship between dietary patterns and GDM. We administered three-day food diaries (TFD) and food frequency questionnaires (FFQ) at the second trimester. GDM was diagnosed with a 75 g 2-h oral glucose tolerance test at 24–28 weeks of gestation. We identified dietary patterns using principal components analysis and used multivariable logistic regression to investigate associations of dietary patterns with GDM. Of the 1014 participants, 23.5% were diagnosed with GDM. Both the TFD and FFQ identified a “traditional pattern”, consisting of high vegetable, fruit, and rice intake, which was associated with a lower GDM risk (odds ratio (OR) for quartile 4 versus quartile 1: 0.40, 95% CI: 0.23–0.71 for traditional pattern (TFD); OR: 0.44, CI: 0.27–0.70 for traditional pattern (FFQ)). The protective associations were more pronounced among women ≥35 years old. A whole grain–seafood TFD pattern was associated with higher risk of GDM (OR: 1.73, 95% CI: 1.10–2.74). These findings may provide evidence for making dietary guidelines among pregnant women in Chinese populations to prevent GDM.


2016 ◽  
Vol 33 (12) ◽  
pp. 1659-1667 ◽  
Author(s):  
G. K. Dinham ◽  
A. Henry ◽  
S. A. Lowe ◽  
N. Nassar ◽  
K. Lui ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Zheng Liu ◽  
Hui Liu ◽  
Xiangrong Xu ◽  
Shusheng Luo ◽  
Jue Liu ◽  
...  

Objective. Few studies have examined whether maternal 25(OH)D deficiency and gestational diabetes mellitus (GDM) jointly affect fetal growth. We aimed to examine the separate and combined effects of maternal 25(OH)D deficiency and GDM on trajectories of fetal growth. Methods. We established a birth cohort (2016-2017) with 10,913 singleton pregnancies in Tongzhou Maternal and Child Health Hospital of Beijing, China. Maternal 25(OH)D deficiency (serum 25OHD concentration<20.0 ng/mL) was detected, and GDM was diagnosed at 24~28 gestational weeks. Fetal growth was assessed by longitudinal ultrasound measurements of estimated fetal weight (EFW) and abdominal circumference (AC) from 28 gestational weeks to delivery, both of which were standardized as gestational-age-adjusted Z-score. A k-means algorithm was used to cluster the longitudinal measurements (trajectories) of fetal growth. Logistic regression models were used for estimating exposure-outcome associations and additive interactions. Results. We identified two distinct trajectories of fetal growth, and the faster one resembling the 90th centile curve in the reference population was classified as excessive fetal growth. Maternal 25(OH)D deficiency and GDM were independently associated with an increased risk of excessive fetal growth. The combination of maternal 25(OH)D deficiency and GDM was associated with an increased risk of excessive fetal growth assessed by EFW Z-score (odds ratio (OR): 1.36; 95% confidence interval (CI): 1.15~1.62) and AC Z-score (OR (95% CI): 1.32 (1.11~1.56)), but the relative excess risks attributable to interaction were nonsignificant (P>0.05). Conclusion. Maternal 25(OH)D deficiency and GDM may jointly increase the risk of excessive fetal growth. Interventions for pregnancies with GDM may be more beneficial for those with 25(OH)D deficiency than those without regarding risk of excessive fetal growth, if confirmed in a large sample.


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