Evidence map›Paper›PMID 41142735›Full record

ArticleFrontiers in public health2025

Nonlinear association between wet-bulb globe temperature and maternal hypertensive disorders burden: a global analysis from 1990 to 2021.

Boya Zhao, Yonghui Zhao, Zhan Hu, Xin Duan, Jiujie Dou, Senlin Shi

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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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

3 citing papers in PubMed.

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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

6 authors.

Boya Zhao *Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yonghui Zhao *Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhan HuCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin DuanCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiujie DouCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Senlin ShiCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal hypertensive disorders (MHD) are major causes of maternal mortality and perinatal complications worldwide, and their disability burden has risen with pronounced geographic disparities. Under global warming, heat stress is increasingly implicated in dysregulated blood pressure during pregnancy, yet robust global-scale evidence remains limited. Methods: We combined age-standardized years lived with disability (AS-YLDs) from MHD for 204 countries (1990-2021) with wet-bulb globe temperature (WBGT). Restricted cubic splines were used to characterize nonlinear WBGT-AS-YLDs associations. Analyses were stratified by five Sociodemographic Index (SDI) levels and adjusted for environmental and behavioral covariates (body-mass index, air pollution, tobacco use, alcohol consumption, iron deficiency) plus calendar-year fixed effects. Sensitivity analyses further stratified by climate zones. Results: Globally, WBGT showed a significant nonlinear association with MHD AS-YLDs, approximating a Conclusion: This study quantifies a global, nonlinear relationship between WBGT and the MHD disability burden, with heterogeneous effects across development levels. The findings highlight heat exposure as a potential threat to maternal health under climate change and support targeted mitigation and adaptation-especially in low- and median-SDI settings.

Indexed as

Global HealthHypertension, Pregnancy-InducedAdultCost of IllnessDisability-Adjusted Life YearsFemaleHumansPregnancyglobal burden databasematernal hypertensive diseaserestricted cubic splinesociodemographic indexwet-bulb globe temperature

Identifiers

PMID41142735
PMCPMC12549697

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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.