Evidence map›Paper›PMID 40589857›Full record

ArticlePeerJ2025

Associations between meteorological factors and pregnancy complications during different pregnancy trimesters: a multicenter retrospective study in eastern China.

Tao Chen, Jie Cai, Da He, Hui Zhu, Xiang Chen, Yuqiong Li, Wen Ye, Bingqi Li, Qinyan Xu, Lindan Ji and 1 more

Abstract readMulticenter Study
In one paragraph

Article in PeerJ, 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

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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

1 citing paper in PubMed.

  1. Observational
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.

Tao Chen *School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Jie Cai *Center for Reproductive Medicine, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Da HeDepartment of Obstetrics and Gynecology, Yinzhou District Maternal and Child Health Care Institute, Ningbo, Zhejiang, China.
Hui ZhuDepartment of Internal Medicine, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Xiang ChenDepartment of Obstetrics and Gynecology, Yinzhou District Maternal and Child Health Care Institute, Ningbo, Zhejiang, China.
Yuqiong LiSchool of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Wen YeSchool of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Bingqi LiSchool of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Qinyan XuDepartment of Obstetrics and Gynecology, The 906th Hospital of PLA, Ningbo, Zhejiang, China.
Lindan JiZhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Jin XuSchool of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have demonstrated the effects of ambient temperature on the risk of pregnancy complications. However, the associations between multiple meteorological factors and pregnancy complications have rarely been studied. Methods: We carried out a retrospective study on the impacts of meteorological factors on pregnancy complications in different trimesters in Ningbo, China, from 2013-2023. Daily meteorological factors data were obtained from the National Aeronautics and Space Administration (NASA). Moreover, a meteorological factor score (MFS) was calculated. Logistic regression models were applied to assess the effects of individual meteorological factors and MFS on pregnancy complications during different trimesters. Distributed lag nonlinear models were used to explore the sensitive time windows of extreme meteorological factors in different weeks of gestation. The interaction effects of extreme meteorological factors were assessed. Results: A total of 92,332 participants were included in the study, with diagnoses as follows: gestational diabetes mellitus (GDM) in 17,814 participants (19.29%), gestational hypertension (GH) in 3,860 participants (4.18%), preeclampsia (PE) in 3,101 participants (3.36%), and hypothyroidism in 17,418 participants (18.86%). Participants in the highest MFS quintile during the first trimester had greater risks of GDM (aOR = 1.186, 95% CI [1.079-1.304]), GH (aOR = 1.596, 95% CI [1.323-1.925]), PE (aOR = 1.347, 95% CI [1.094-1.658]) and hypothyroidism (aOR = 1.257, 95% CI [1.141-1.385]) compared to the lowest quintile. Extreme meteorological exposures influenced complications within distinct windows: risks of GDM, GH, and PE concentrated in mid-pregnancy (3rd-5th months), while hypothyroidism showed first-trimester vulnerability. Interactions between meteorological factors collectively influenced the risk of hypothyroidism. Conclusions: Our findings demonstrated that elevated temperature, increased precipitation, prolonged sunshine duration, and reduced surface pressure were critical risk factors for pregnancy complications. Targeted protective measures should be taken to reduce the risk of pregnancy complications.

Indexed as

Meteorological ConceptsPregnancy ComplicationsPregnancy TrimestersAdultChinaDiabetes, GestationalFemaleHumansHypertension, Pregnancy-InducedPre-EclampsiaPregnancyRetrospective StudiesRisk FactorsGestational diabetes mellitusGestational hypertensionHypothyroidismMeteorological factorsPreeclampsiaPregnancy complication

Identifiers

PMID40589857
PMCPMC12208105

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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.