Evidence map›Paper›PMID 40603934›Full record

ArticleScientific reports2025

Association of gestational weight gain patterns with preterm birth subtypes in a population based cohort study from China.

Yiyang Guo, Kai Chen, Jin'e Zhang, Yiming Zhang, Zhiguo Xia, Yuji Wang, Xiaoxuan Fan, Xiaofeng Mu, Luli Xu, Chao Xiong and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yiyang Guo *Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Kai Chen *Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Jin'e Zhang *Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Yiming ZhangWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Zhiguo XiaWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Yuji WangWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Xiaoxuan FanWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Xiaofeng MuWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Luli XuWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Chao XiongWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. 343879327@qq.com.
Aifen ZhouWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. april1972@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the association between gestational weight gain (GWG) patterns and preterm birth (PTB) subtypes using data from a registry system in Wuhan, China. A total of 57,138 women with live singleton births were included. Total GWG in the first and second trimesters was categorized as insufficient, appropriate, or excessive based on Chinese guidelines, and weekly early GWG (< 20 weeks; eGWG) was classified into Class I (< 100 g/week), Class II (100-399 g/week), and Class III (≥ 400 g/week). Multiple logistic regression analyses assessed the relationships between GWG patterns and PTB subtypes, including spontaneous PTB, medically indicated PTB, and preterm premature rupture of membranes (PPROM), and adjusted for covariates such as age, education, pregnancy, parity, and offspring sex. Subgroup analyses were conducted by pre-pregnancy BMI categories (underweight: <18.5 kg/m², normal weight: 18.5-23.9 kg/m², overweight/obesity: ≥24 kg/m²). Results showed that underweight women with excessive GWG or Class III eGWG had increased risks of all PTB subtypes. Normal weight women with excessive or Class III eGWG, as well as insufficient or Class I eGWG, exhibited elevated risks for all PTB types. Overweight/obesity women with insufficient or Class I eGWG were at higher risks for spontaneous PTB and PPROM. These findings underscore the importance of optimal GWG across all BMI categories to mitigate PTB risks, highlighting the need for tailored prenatal weight management strategies.

Indexed as

Gestational Weight GainPremature BirthAdultBody Mass IndexChinaCohort StudiesFemaleHumansPregnancyRisk FactorsYoung Adult

Identifiers

PMID40603934
PMCPMC12223292

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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 OpenQuestion graph.