Evidence mapPaperPMID 40045263Full record

ArticleBMC pregnancy and childbirth2025

Association between protein intake and sources in mid-pregnancy and the risk of gestational diabetes mellitus.

Rui Wang, Xingyi Jin, Jian Zhu, Xiaocheng Li, Jian Chen, Chunyan Yuan, Xiaoli Wang, Yufeng Zheng, Shaokang Wang, Guiju Sun

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rui WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.
Xingyi JinKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.
Jian ZhuDanyang Maternal and Child Health Hospital, Danyang, 212300, Zhenjiang, China.
Xiaocheng LiNanjing Center for Disease Control and Prevention, Nanjing, 210003, China.
Jian ChenNanjing Center for Disease Control and Prevention, Nanjing, 210003, China.
Chunyan YuanDepartment of Gynaecology and Obstetrics, Zhongda Hospital, Southeast University, 210009, Nanjing, China.
Xiaoli WangXinjiang Uygur Autonomous Region Maternal and Child Health Hospital, 830000, Wulumuqi, China.
Yufeng ZhengAksu Region Maternal and Child Health Hospital, Aksu, 844000, China.
Shaokang WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China. shaokangwang@seu.edu.cn.
Guiju SunKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.

Funding

Maternal and Child Health Center of the National Health Commission 2024FYH24)SEU Innovation Capability Enhancement Plan for Doctoral Students CXJH_SEU 24213the Postgraduate Research &Practice Innovation Program of Jiangsu Province KYCX24_0487
6 · The paper itself

Abstract

objectivesThis study aimed to investigate the relationship between dietary protein intake and sources in the second trimester of pregnancy and the risk of gestational diabetes mellitus (GDM) and to further investigate the effects of total protein and animal protein intake on the risk of GDM.

methodsA case-control study was conducted, which involved 947 pregnant women in the second trimester from three hospitals in Jiangsu, China. Dietary intake was assessed using a 3-day 24-hour dietary recall and a food frequency questionnaire. Two models (leave-one-out and partition models) in nutritional epidemiology were used for substitution analysis, and logistic regression was performed to explore the relationships, adjusting for multiple confounding factors.

resultsAfter adjusting for confounding factors, total protein intake was negatively correlated with GDM risk (OR [95% CI], 0.10 [0.04-0.27]; P<0.001). Animal protein also negatively correlated with GDM risk, but this became insignificant when total calorie, carbohydrate and fat intake were added as covariates to the analysis (0.68 [0.34-1.34]; P = 0.263). No association was found between plant protein and GDM(1.04 [0.69-1.58]; P = 0.852). Replacing carbohydrates with an equal energy ratio(5% of total energy intake) of total protein, animal protein and plant protein respectively reduced the risk of GDM by 45%, 46% and 51%.

conclusionsThe intake of total protein and animal protein, especially eggs, dairy products, and fish, can reduce the risk of GDM while consuming unprocessed red meat increases the risk. There is no significant association between the intakes of plant protein, processed meat, and poultry meat and the occurrence of GDM. The results of this study are expected to provide a basis for precise nutritional education, health guidance during pregnancy, and early prevention of GDM.

Indexed as

Diabetes, GestationalDietDietary ProteinsAdultAnimal Proteins, DietaryCase-Control StudiesChinaDietary CarbohydratesEnergy IntakeFemaleHumansLogistic ModelsPlant Proteins, DietaryPregnancyPregnancy Trimester, SecondRisk FactorsAnimal Proteins, DietaryDietary CarbohydratesDietary ProteinsPlant Proteins, DietaryDietary proteinGestational diabetes mellitusPregnancy dietPrenatal nutritionSubstitution analysis

Identifiers

PMID40045263
PMCPMC11884067

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.