Evidence map›Paper›PMID 41992004›Full record

ArticleScientific reports2026

Humidity may amplify the temperature-related health risks in the context of climate change.

Yiling He, Wei Dong, Liang Zhao, Huibin Wang, Wenjia Cai, Zhao Liu, Hualiang Lin, Wenjun Ma, Cunrui Huang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yiling He *Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Wei Dong *Yunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Greater Mekong Subregion, Yunnan University, Kunming, China.
Liang Zhao *State Key Laboratory of Earth System Numerical Modeling and Application (LabESM), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Huibin WangThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Wenjia CaiCentre for Earth System Science, Tsinghua University, Beijing, China.
Zhao LiuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Hualiang LinSchool of Public Health, Sun Yat-Sen University, Guangzhou, China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Haidian District, Beijing, 10084, China. huangcunrui@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humidity and temperature may pose joint effects on human health. However, current temperature-related risk assessments generally focus on univariate temperature statistics, leading to inaccurate risk estimation. By combining temperature and humidity intensities as compound temperature-humidity events (hereinafter as compound events), we examined the effects of humidity in temperature-related health risks in the context of climate change in China using ambulance dispatch data, and further determined the high-risk types and thresholds of compound events. After assessing the health risks, compound events are defined as: i) warm and wet event: temperature ≥ 90th, humidity ≥ 55th and 70%; ii) warm and dry event: temperature ≥ 80th, humidity ≤ 10th; iii) cold and wet event: temperature ≤ 15th, humidity ≥ 70th and 70%; iv) cold and dry event: temperature ≤ 5th and humidity ≤ 25th. Results reveal that humidity can amplify the temperature-related health risks. Higher risks were found during cold and dry events and warm and wet events, posing risks as 1.102 (1.045–1.161) and 1.093 (1.068–1.118) respectively. Compound events mainly occurred in Southeast China during 1979–2019, while the frequency and gripped regions are projected to increase by 2100, and climate change will amplify these trends. Since humidity would exacerbate temperature-related health risks, therefore multiple meteorological parameters are needed in defining adverse weather conditions and conducting risk assessment accurately.

Indexed as

Climate ChangeHumidityTemperatureChinaHumansRisk AssessmentChinaClimate changeCompound eventHealth riskHumidityTemperatureThreshold

Identifiers

PMID41992004
PMCPMC13246766

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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.