Evidence map›Paper›PMID 39875903›Full record

ArticleBMC public health2025

Heatstroke characteristics and meteorological conditions in Hefei, China: thresholds and driving factors.

Xueliang Deng, Liang Zhao, Changchun Xiao, Rui Dai, Qianqian Xu, Yeqing Yao, Caimeng Liang, Lei Yao, Dongyan He

Abstract read
In one paragraph

Article in BMC 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

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

3 citing papers in PubMed.

  1. Article
  2. Machine Learning-Based Prediction of Heatwave-Related Hospitalizations: A Case Study in Matam, Senegal.International journal of environmental research and public health · 2025
    Article
  3. Review
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.

Xueliang DengHefei Meteorological Bureau, Hefei, 230041, China.
Liang ZhaoState Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Changchun XiaoHefei Center for Disease Control and Prevention, Hefei, 230061, China. xiaocc_0552@aliyun.com.
Rui DaiHefei Meteorological Bureau, Hefei, 230041, China.
Qianqian XuHefei Meteorological Bureau, Hefei, 230041, China.
Yeqing YaoAnhui Public Meteorological Service Center, Hefei, 230031, China.
Caimeng LiangSchool of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Lei YaoHefei Meteorological Bureau, Hefei, 230041, China.
Dongyan HeKey Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai (CMACC), Shanghai, 200092, China.

Funding

the Anhui research project in the Public Interest 1604f0804003the independent innovation and development special project of Anhui Meteorological Bureau AHQXZC202310the Joint Found of Anhui Natural Science Foundation 2208085UQ03the National Key Research and Development Program of China 2018YFA0606200the National Natural Science Foundation of China 42275175the Special innovation and development project of Anhui Public Meteorological Service Center GFCX202308
6 · The paper itself

Abstract

backgroundDue to climate change and rapid urbanization, the frequency of heatwave events in East China has increased considerably since the 21st century, which has a considerable influence on human health, such as heatstroke. However, few studies have been conducted in this region on the relationship between heatstroke and meteorological conditions. To address this point, this study aimed to analyze the characteristics of heatstroke and their relationship with meteorological conditions in Hefei, China.

methodsThe 2008-2022 heatstroke data from Hefei Center for Disease Control and Prevention was used. The relationship between heatstroke and meteorological conditions was discussed by statistical methods, such as correlation analysis, cluster analysis and linear regression analysis.

resultsThe number of heatstroke cases fluctuated upward from 36 cases in 2008 to 1051 cases in 2022, with 71.5% of all cases for males and females accounting for 28.5%. The highest frequency of heatstroke occurrence was found to be concentrated in the middle age group (40-59 years old). According to the statistical analysis, air temperature and relative humidity were the most important meteorological factors that influenced the occurrence of heatstroke. Then a threshold system of meteorological factors for heatstroke was established by utilizing the relationship: daily average temperature (T) ≥ 30 °C & daily average relative humidity (RH) ≤ 80% and daily maximum temperature (Tmax) ≥ 35 °C & daily minimum relative humidity (RHmin) ≤ 65%. The threshold in group outbreak areas was stricter than it in high incidence areas. Furthermore, the Pacific Subtropical High (PSH) was found to be the primary climatic factor that determined the occurrence of heatstroke occurrence on a seasonal scale. In addition, significant differences in heatstroke risk were found among different groups of people. Heatstroke risk was substantially higher in males than in females due to larger opportunities for outdoor labor. The reduced physical fitness of elderly people raised the risk of heatstroke more than other age groups in extremely high temperatures.

conclusionsA meteorological threshold system had been established to forecast heatstroke occurrence in a short-term time, and a key climate driving factor of heatstroke was found for long-term heatstroke prediction in Hefei. These findings could facilitate the disease control department to take preventive and control measures to reduce the impact of heatstroke on human health and society.

Indexed as

Heat StrokeMeteorological ConceptsAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansHumidityInfantMaleMiddle AgedYoung AdultClimate changeHeatstrokeHefeiMeteorological factors

Identifiers

PMID39875903
PMCPMC11773967

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Registered trials

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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.