Evidence map›Paper›PMID 41365965›Full record

ArticleScientific reports2025

Cumulative heat exposure and mental health in older Chinese adults with social isolation mediation.

Huan Wang, Taolong Fang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

2 authors.

Huan WangInstitute of Population Research, Hohai University, No. 8 Focheng West Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China. huanwang58@hhu.edu.cn.
Taolong FangInstitute of Population Research, Hohai University, No. 8 Focheng West Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China.

Funding

Key Medical Research Project of the Health Commission of Jiangsu Province No. X0362Major Research Project of Philosophy and Social Sciences of the Ministry of Education of the People's Republic of China No. 23JZD028National Social Science Foundation of China No. 24BRK010
6 · The paper itself

Abstract

The mental health impacts of cumulative heat exposure remain poorly understood, particularly regarding the role of social mechanisms. This study investigates whether social isolation mediates the relationship between cumulative heat exposure and mental health among older Chinese adults who have experienced previous heat exposure. Using data from the Chinese Longitudinal Healthy Longevity Survey (2005-2018) and corresponding meteorological records (1974-2019), we quantified cumulative heat exposure as the total number of days during the warm season (May-September) exceeding specific wet-bulb globe temperature thresholds (1-day, 2-day, and 3-day). Social isolation was assessed across four dimensions: core networks, peripheral networks, frequency of family visits, and social participation. Employing ordinary least squares (OLS) regression analyses and bootstrap-based parallel mediation models with clustered standard errors, we found that higher cumulative heat exposure was significantly associated with poorer mental health across all definitions. Mediation analyses further indicated that heat exposure was related to an expansion of core networks and a reduction of peripheral ties, both of which were linked to better mental health outcomes. No mediation effects were observed for family visit frequency or social participation. These findings provide novel evidence that cumulative heat exposure among older adults may trigger an adaptive restructuring of social networks, which in turn could help mitigate adverse mental health impacts.

Indexed as

Hot TemperatureMental HealthSocial IsolationAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedBehavioral adaptationCumulative heat exposureMental healthOlder adultsSocial isolation

Identifiers

PMID41365965
PMCPMC12689673

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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.