Dietary Patterns during Pregnancy Are Associated with the Risk of Gestational Diabetes Mellitus: Evidence from a Chinese Prospective Birth Cohort Study.

Dietary Patterns during Pregnancy Are Associated with the Risk of Gestational Diabetes Mellitus: Evidence from a Chinese Prospective Birth Cohort Study.

Hu, Jiajin;Oken, Emily;Aris, Izzuddin M;Lin, Pi-I D;Ma, Yanan;Ding, Ning;Gao, Ming;Wei, Xiaotong;Wen, Deliang;
Nutrients 2019 Vol. 11
235
hu2019dietarynutrients

Abstract

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.

Access

Citation

ID: 41420
Ref Key: hu2019dietarynutrients
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
41420
Unique Identifier:
E405
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet