Cohort study2021

[Prospective study of red meat intake in the first and second trimesters and the risk of gestational diabetes mellitus in Chengdu in 2017]

Bai D, Pang X, Dong H, Cai C, Lan X, Bao Y, Zhang Y, Gao Y, Li F, Zeng G

Wei sheng yan jiu = Journal of hygiene research · 2 citations

Review labels

Funding not disclosedLumps processed with unprocessed meatNo stated lifestyle adjustment

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Cohort study (indexed by PubMed)
Studied in
People
Main outcome
Clinical events such as disease or death
Intake measured by
Food diaries or recalls

Who paid for it

Funding
Funding not disclosed

Publication

Published
2021-01-01 · Wei Sheng Yan Jiu · vol. 50 · issue 1 · pp. 63–68
Publisher
National Institutes of Health
Cited
2 citations · more than 58% of similar papers · 0.3× the field average
References
0 works
Access
Paywalled
Research areas
Gestational Diabetes Research and Management · Nutritional Studies and Diet · Dietary Effects on Health
Keywords
Medicine, Gestational diabetes, Pregnancy, Obstetrics, Confounding, Gestation, Logistic regression, Red meat, Prospective cohort study, Diabetes mellitus, Internal medicine, Endocrinology, Biology
MeSH
humans, diabetes, gestational, risk factors, prospective studies, pregnancy, pregnancy trimester, second, child, china, female, red meat

10 authors

From CN

  • Dan BaiSichuan University
  • Xinxin PangSichuan University
  • Hongli DongSichuan University
  • Congjie CaiSichuan University
  • Xi LanSichuan University
  • Yanhong BaoSichuan University

Abstract

Objective

To evaluate the red meat intake of pregnant women in Chengdu area and explore the effect of red meat intake in the first and second trimesters on gestational diabetes mellitus(GDM).

Methods

From February to July 2017, a prospective study was conducted among healthy singleton pregnant women within 8-14 weeks of gestation in a prenatal clinic of maternal-and-child medical institution in Chengdu City through purposive sampling. Data on maternal demographic characteristics was collected through questionnaire in early pregnancy. 3-day 24 hour dietary recall was used to collect dietary intake information in the first and second trimesters. The 75 g oral glucose tolerance test(OGTT)was conducted at 24 to 28 weeks of gestation, and GDM was diagnosed according to the Guidelines for the Diagnosis and Treatment of Pregnancy Diabetes in China(2014). Multivariate unconditional Logistic regression model was used to explore the association between tertiles of red meat intake and the risk of GDM in the first and second trimesters.

Results

A total of 985 valid samples were followed up. The mean intake of total meat and red meat in middle pregnancy(102. 9 g/d and 74. 6 g/d) was higher than that in early pregnancy(70. 7 g/d and 52. 0 g/d). The difference was statistically significant(P<0. 05). Red meat accounted for 73. 6% and 72. 5% of total meat intake in early and middle pregnancy, respectively. After adjusting the confounding factors, multivariate unconditional Logistic regression analysis showed the risk of GDM was 1. 499 times(95%CI 1. 028-2. 185) in the highest red meat intake(>86 g/d)women compared with the lowest red meat intake(<44 g/d) women in the second trimester. No association was found between red meat intake in the first trimester and the occurrence of GDM(OR=1. 029, 95%CI 0. 716-1. 481).

Conclusion

Pregnant women in Chengdu area have excessive intake of red meat in the second trimester. Higher intake of red meat in the second trimester(>86 g/d) may increase the risk of gestational diabetes.

Abstract via Europe PMC. Copyright remains with the authors or publisher.

Community trust

Loading…

How much do you trust this study's findings?

0 · not at all10 · completely

Comments

Sign in to rate, comment on or flag this study.Sign in

Something wrong here?

Flag this study if its information, labels or funding look wrong. An editor reviews every flag.

Sign in to rate, comment on or flag this study.Sign in

Educational information about published research. Not medical advice, and not a recommendation to start or stop anything.