Evidence mapPaperPMID 40469674Full record

ArticleFrontiers in nutrition2025

Association between body composition in early pregnancy and the risk of gestational diabetes mellitus.

Yan Li, Bin Zhao, Yang Tian, Yang Li, Xia Li, Hongmei Guo, Li Xiong, Jiaying Yuan

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Yan LiDepartment of Clinical Nutrition, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Bin ZhaoDepartment of Obstetrics, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Yang TianDepartment of Clinical Pharmacy, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Yang LiDepartment of Obstetrics, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Xia LiDepartment of Obstetrics, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Hongmei GuoDepartment of Obstetrics, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Li XiongDepartment of Obstetrics, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.
Jiaying YuanDepartment of Science and Education, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) is a common complication during pregnancy that poses serious health risks to both mothers and their offspring. Risk factors for GDM, such as obesity, have been extensively reported. However, the association between body composition and GDM risk remains unclear. Therefore, we conducted a retrospective cohort study to investigate the relationship between body composition in early pregnancy and the risk of developing GDM. Methods: A total of 3,159 pregnant women were enrolled between June 2020 and December 2021, with 280 (10.43%) diagnosed with GDM. Bioelectrical impedance analysis (BIA) was used to measure the percentage of body fat (PBF), fat mass (FM), fat-free mass (FFM), and lean mass (LM). Logistic regression and restricted cubic spline (RCS) analyses were performed to examine the associations between body composition and GDM risk. Results: Compared with the bottom tertile, the top tertile levels of PBF and FM were significantly associated with an increased risk of GDM, with adjusted odds ratios (ORs) and corresponding 95% confidence intervals (95% CI) of 1.77 (1.13, 2.77) and 1.99 (1.23, 3.20), respectively. Each standard deviation (SD) increase in PBF and FM was associated with a 31% (95% CI: 1.07-1.60) and 27% (95% CI: 1.03-1.57) increased risk of GDM, respectively. RCS analysis indicated that the risk of GDM continuously increased with higher levels of PBF and FM, whereas it decreased with FFM and LM ( Conclusion: The risk of GDM is positively associated with PBF and FM whereas negatively associated with FFM and LM.

Indexed as

body compositionbody fat percentagefat free massfat massgestational diabetes mellitus

Identifiers

PMID40469674
PMCPMC12133464

What Socratic holds

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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.