Evidence map›Paper›PMID 42846926›Full record

ArticleFundamental research2026

The dividend period of climate change-related mortality in China is coming to an end.

Zhaobin Sun, Ling Han, Ziming Li, Xuemei Wang, Tianjun Zhou, Yinglin Liang, Jianxiong Hu, Shilu Tong, Xingqin An, Huizheng Che and 3 more

Abstract read
In one paragraph

Article in Fundamental research, 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

13 authors.

Zhaobin SunState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China.
Ling HanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Ziming LiBeijing Meteorological Observatory, Beijing 100089, China.
Xuemei WangCollege of Environment and Climate, Jinan University, Guangzhou 510632, China.
Tianjun ZhouState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100864, China.
Yinglin LiangState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China.
Jianxiong HuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Shilu TongNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xingqin AnState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China.
Huizheng CheState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China.
Qiyong LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Tian QinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Jun YangSchool of Public Health, Guangzhou Medical University, Guangzhou 511436, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health risks posed by temperature have aroused concern among scientists and the public. Previous studies have consistently projected a downward trend in the cold-related health burden and an upward trend in the heat-related burden under climate change. However, the temporal trend of the net effect of temperature and the existence of a descent phase for adaptation remain unclear. Here, we propose a new concept, the dividend period of climate change-related mortality, defined as the period when the net health effect of temperature exhibits a downward trend. We project a region-specific dividend period in China under climate change and adaptability scenarios. The results indicate that human adaptability substantially influences the temperature-mortality association and that the dividend period varies markedly by region and urbanization. After considering adaptability and population changes, the dividend period in the central and western regions has either ended or is coming to an end under most scenarios and will end before the 2050s in the northeastern region. In contrast, the dividend period in the eastern region will extend to the end of the 21st century but will soon end under certain scenarios. Our findings highlight the urgent need for more effective climate change mitigation and adaptation actions, particularly in regions at the end of the dividend period in the near future.

Indexed as

AdaptationClimate changeDividend periodHealthMortalityTemperature

Identifiers

PMID42846926
PMCPMC13644418

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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.