Literature DB >> 32039726

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

Li Wen1,2,3, Huisheng Ge4, Juan Qiao1,2,3, Lan Zhang1,2,3, Xuyang Chen1,2,3, Mark D Kilby5,6, Ying Zhou1,2,3, Jie Gan1,2,3, Richard Saffery7, Jianying Yan8, Chao Tong9,10,11, Hongbo Qi12,13,14,15, Philip N Baker16.   

Abstract

BACKGROUND: Gestational diabetes mellitus (GDM) is correlated with an increased risk of adverse perinatal outcomes for both the mother and offspring. Previous research has reported correlations between maternal dietary patterns and GDM, but such evidence for twin pregnancies is lacking. This study aimed to identify maternal dietary patterns in the second trimester and investigate their relationships with the risk of GDM among women who were pregnant with twins in China.
METHODS: A longitudinal twin pregnancies birth cohort study of women who were pregnant with twins in China was conducted. Maternal dietary intake in the second trimester was recorded by using a food frequency questionnaire prior to the diagnosis of GDM among participants from the prospective twin pregnancies birth cohort in Chongqing City. GDM was diagnosed with a 75 g 2-h oral glucose tolerance test at 23-26 weeks of gestation. Dietary patterns were identified by principal components analysis, and the correlations between dietary pattern and GDM were examined using multivariable logistic regression analyses.
RESULTS: Of the 324 participants, 101 (31.2%) were diagnosed with GDM. Four dietary patterns were identified: a vegetable-based pattern, a poultry-and-fruit-based pattern, a sweet-based pattern and a plant-protein-based pattern. Multivariate analysis showed that none of the dietary patterns were correlated with the risk of GDM among women who were pregnant with twins, but the sweet-based dietary pattern, which was associated with a higher GDM risk for quartile 4 versus quartile 1 (OR 2.69; 95% CI: 1.09, 6.66) among non-overweight women (prepregnancy BMI < 24.0).
CONCLUSION: Dietary patterns were not correlated with later GDM risk among women who were pregnant with twins in western China, whereas a high intake of sweets was associated with a higher risk for GDM among women who were not overweight prior to pregnancy. TRIAL REGISTRATION: ChiCTR-OOC-16008203. Retrospectively registered on 1 April 2016.

Entities:  

Keywords:  China; Dietary patterns; Gestational diabetes; Twin pregnancies

Mesh:

Substances:

Year:  2020        PMID: 32039726      PMCID: PMC7008526          DOI: 10.1186/s12937-020-00529-9

Source DB:  PubMed          Journal:  Nutr J        ISSN: 1475-2891            Impact factor:   3.271


  35 in total

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2.  A prospective study of dietary patterns, meat intake and the risk of gestational diabetes mellitus.

Authors:  C Zhang; M B Schulze; C G Solomon; F B Hu
Journal:  Diabetologia       Date:  2006-09-07       Impact factor: 10.122

3.  Impact of Twin Gestation and Fetal Sex on Maternal Risk of Diabetes During and After Pregnancy.

Authors:  Ravi Retnakaran; Baiju R Shah
Journal:  Diabetes Care       Date:  2016-05-23       Impact factor: 19.112

4.  Influence of gestational diabetes mellitus on neonatal weight outcome in twin pregnancies.

Authors:  M A Guillén; L Herranz; B Barquiel; N Hillman; M A Burgos; L F Pallardo
Journal:  Diabet Med       Date:  2014-07-09       Impact factor: 4.359

5.  Gestational diabetes is associated with high energy and saturated fat intakes and with low plasma visfatin and adiponectin levels independent of prepregnancy BMI.

Authors:  S Park; M-Y Kim; S H Baik; J-T Woo; Y J Kwon; J W Daily; Y-M Park; J-H Yang; S-H Kim
Journal:  Eur J Clin Nutr       Date:  2013-02       Impact factor: 4.016

6.  Metabolomic biomarkers and novel dietary factors associated with gestational diabetes in China.

Authors:  Xuyang Chen; Jamie V de Seymour; Ting-Li Han; Yinyin Xia; Chang Chen; Ting Zhang; Hua Zhang; Philip N Baker
Journal:  Metabolomics       Date:  2018-11-03       Impact factor: 4.290

7.  Dietary patterns in pregnant women: a comparison of food-frequency questionnaires and 4 d prospective diaries.

Authors:  Sarah R Crozier; Hazel M Inskip; Keith M Godfrey; Siân M Robinson
Journal:  Br J Nutr       Date:  2007-11-16       Impact factor: 3.718

8.  Relation of the Mediterranean diet with the incidence of gestational diabetes.

Authors:  B Karamanos; A Thanopoulou; E Anastasiou; S Assaad-Khalil; N Albache; M Bachaoui; C B Slama; H El Ghomari; A Jotic; N Lalic; A Lapolla; C Saab; M Marre; J Vassallo; C Savona-Ventura
Journal:  Eur J Clin Nutr       Date:  2013-10-02       Impact factor: 4.016

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

Authors:  Jiajin Hu; Emily Oken; Izzuddin M Aris; Pi-I D Lin; Yanan Ma; Ning Ding; Ming Gao; Xiaotong Wei; Deliang Wen
Journal:  Nutrients       Date:  2019-02-15       Impact factor: 5.717

10.  Dietary patterns during pregnancy and risk of gestational diabetes: a prospective cohort study in Western China.

Authors:  Jonathan K L Mak; Ngoc Minh Pham; Andy H Lee; Li Tang; Xiong-Fei Pan; Colin W Binns; Xin Sun
Journal:  Nutr J       Date:  2018-11-20       Impact factor: 3.271

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2.  Dietary Protein Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women.

Authors:  Weijia Wu; Nu Tang; Jingjing Zeng; Jin Jing; Li Cai
Journal:  Nutrients       Date:  2022-04-13       Impact factor: 6.706

3.  Perinatal outcomes among twin pregnancies with gestational diabetes mellitus: A nine-year retrospective cohort study.

Authors:  Dongxin Lin; Dazhi Fan; Pengsheng Li; Gengdong Chen; Jiaming Rao; Zixing Zhou; Huishan Zhang; Xin Luo; Huiting Ma; Jingping Feng; Demei Lu; Lijuan Wang; Shiyan Lan; Caihong Luo; Xiaoling Guo; Zhengping Liu
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4.  Association between dietary patterns and prediabetes risk in a middle-aged Chinese population.

Authors:  Xiao-Ming Shen; Yi-Qian Huang; Xiao-Yan Zhang; Xiao-Qing Tong; Pei-Fen Zheng; Long Shu
Journal:  Nutr J       Date:  2020-07-30       Impact factor: 3.271

  4 in total

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