Evidence map›Paper›PMID 42499336›Full record

ArticleThe Lancet regional health. Western Pacific2026

Climate hazards and mental health hospitalizations in China: socioeconomic disparities, demographic drivers, and adaptation - a nationwide population-based study.

Hanxu Shi, Teng Wang, Chaobo Bai, Peng Wang, Fiona Kwok, Weiwen Li, Lu Jing, Qijiong Zhu, Rizhen Wang, Jing Chen and 10 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

20 authors.

Hanxu ShiSchool of Public Health, Peking University, Beijing, China.
Teng WangSchool of Public Health, Peking University, Beijing, China.
Chaobo BaiDepartment of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), China.
Peng WangGuangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen, China.
Fiona KwokSchool of Engineering, City University of Hong Kong, Hong Kong, China.
Weiwen LiGuangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen, China.
Lu JingSchool of Engineering, Tsinghua University, Shenzhen, China.
Qijiong ZhuSchool of Public Health, Peking University, Beijing, China.
Rizhen WangSchool of Public Health, Peking University, Beijing, China.
Jing ChenDepartment of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), China.
Huining YangDepartment of Disease Prevention and Control, Third Medical Center, General Hospital of the People's Liberation Army, Beijing, China.
Jingtao DingAcademy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China.
Murray RamanasonSchool of Medicine, Johns Hopkins University, Baltimore, USA.
Shyam BiswalBloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Haojun FanInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Yujun ShenAcademy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China.
Minghui RenChina Center for Health Development Studies, Peking University, Beijing, China.
Bin WangSchool of Public Health, Peking University, Beijing, China.
Junliang YuanChina Center for Health Development Studies, Peking University, Beijing, China.
Zhenyu ZhangSchool of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental and behavioural disorders account for a large and growing share of the global disease burden, yet evidence on hazard-specific mental health risks and adaptation remains limited. We aimed to systematically evaluate disease-specific hospitalization risks and attributable burdens following multiple climate hazards in China, and examined whether socioeconomic conditions, demographic change, and historical hazard experience modified these risks. Methods: We conducted a retrospective observational study in 955 counties in China (2016-2023) using 392,924 daily disease-specific hospitalizations for mental and behavioural disorders from the Chinese Multiple County (CMC) Hospital Network. Storm, flood, and tropical cyclone events were linked to hospitalizations, and propensity score matching aided difference-in-differences (PSM-DID) models were used to estimate post-hazard excess relative risks across eight diagnostic categories. We then estimated hazard-attributable mental health hospitalizations and used counterfactual decomposition analysis to quantify the contribution of population aging and growth to hazard-attributable burden. Findings: Schizophrenia and delusion, mood disorders, and stress-related disorders showed stronger associations with climate hazards. Floods were associated with broader and longer-lasting increases in mental health hospitalizations, with elevated admissions persisting for 6-8 weeks after events. Averaged across 2016-2023, storms, floods, and tropical cyclones collectively generated approximately 117,717 (93,667, 147,158) additional mental and behavioural hospitalizations per year in China, 41.05% of which occurred in children, adolescents, and older adults. Population aging and growth accounted for 1.20-5.81% of hazard-attributable hospitalizations, depending on hazard type. Socioeconomically developed counties (quartile 4) experienced 16.18-24.96% lower hazard-attributable hospitalization risks than less developed counties (quartiles 1-3). Counties with the highest historical hazard frequency (quartile 4) showed 11.30-14.29% lower impacts from storms and tropical cyclones than counties with lower historical frequency (quartiles 1-3), whereas no such adaptive advantage was observed for floods. This adaptation observation was more pronounced in socioeconomically developed settings. Interpretation: Storms, floods, and tropical cyclones imposed substantial and inequitably distributed mental health burdens. Climate adaptation policies should prioritize vulnerable populations and less developed regions, leveraging both socioeconomic development and hazard preparedness to promote mental health equity and sustainability under escalating climate threats. Funding: National Natural Science Foundation of China, National Key Research & Development Program of Ministry of Science and Technology of China, Beijing Municipal Ecology and Environment Bureau.

Indexed as

AdaptationClimate hazardsDemographic driversMental healthSocioeconomic disparities

Identifiers

PMID42499336
PMCPMC13396753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.