Evidence map›Paper›PMID 40525128›Full record

ArticleThe Lancet regional health. Western Pacific2025

The temporal shift of temperature-related injury incidence risk and its driving factors in China: a nationwide case-crossover study from 2006 to 2021.

Jianxiong Hu, Xiao Deng, Shanghui Ye, Ziyi Liang, Ye Jin, Yanfang Guo, Tao Liu, Yuliang Er, Fangfang Zeng, Pengpeng Ye and 8 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Jianxiong HuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Xiao DengNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Shanghui YeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Ziyi LiangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Ye JinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Yanfang GuoBao'an District Hospital for Chronic Diseases Prevention and Cure, Shenzhen, 518101, China.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Yuliang ErNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Fangfang ZengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Pengpeng YeNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Guanhao HeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Sujuan ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Yuan WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Ziqiang LinDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Fengrui JingDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Leilei DuanNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Cuirong JiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although several studies have demonstrated an association between ambient temperature and injury, the temporal trend of temperature-related injury risk remains unknown. This study aimed to examine changes in the effect of temperature on injury incidence and to explore its driving factors. Methods: A time-stratified case-crossover study including over 11.5 million injury cases from 243 surveillance hospitals in China was conducted, and the injury incidence risks associated with temperature during the periods 2006-2013 and 2014-2021 were compared using conditional logistic regression model combined with distributed lag nonlinear model (DLNM). The socio-economic driving factors of the temporal change from 2006-2013 to 2014-2021 were further explored based on mixed-effects linear model and random forest algorithm. Findings: The study encompassed a total of 11,512,467 injury cases from 2006 to 2021. The temperature-injury incidence relationship was linear, exhibiting a steeper slope between 2006 and 2013 compared to 2014 and 2021. The excess risk (ER) for per 1 °C increase in temperature was 1.08% (95% CI: 1.06%, 1.10%) for 2006-2013, which was significantly higher than the 0.83% (95% CI: 0.82%, 0.84%) for 2014-2021, representing a 23.31% (95% CI: 21.53%, 24.95%) decrease. Among 31 provinces, 74.19% experienced a decline in ER, predominantly in coastal regions. The primary factors influencing this temporal shift in temperature-related injury risk were identified as the child dependency ratio, air conditioners ownership per 100 rural households, and the birth rate. Interpretation: Overall, the risk of temperature-related injuries in China has decreased over the past two decades, with demographic and socioeconomic factors playing pivotal roles in this decline. Funding: National Natural Science Foundation of China.

Indexed as

AdaptationChinaInjuryTemperatureTemporal shift

Identifiers

PMID40525128
PMCPMC12169779

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.