Evidence mapPaperPMID 41421994Full record

ArticleBMC public health2025

The association between heatwave exposure and the risk of incident diabetes in middle-aged and older adults: a cohort study based on CHARLS.

Wenfei Yang, Yan Lin, Caihua Ye, Xiang Zhang, Xinjun Jiang

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Article in BMC public health, 2025. 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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5 · Who and what money

Authors and funding

5 authors.

Wenfei YangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Yan LinSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Caihua YeSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Xiang ZhangDepartment of Nursing Management, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Xinjun JiangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China. jxinjun@muhn.edu.cn.

Funding

China Scholarship Council 202408460019Joint Program on Health Science & Technology Innovation of Hainan Province WSJK2024MS133National Natural Science Foundation of China Youth Science Fund Project 82304262
6 · The paper itself

Abstract

backgroundThis study investigated the association between heatwave exposure and the risk of new-onset diabetes among middle-aged and older adults, and further assessed the modifying effects of air pollution and green space.

methodsData were obtained from two follow-up waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2015 and 2018, involving 6,591 adults aged ≥ 45 years who were free of diabetes at baseline. Twelve city-specific heatwave definitions were constructed based on the 90th–97.5th percentiles of daily maximum temperatures combined with durations of ≥ 2, ≥3, or ≥ 4 consecutive days. Generalized additive models and generalized difference-in-differences (G-DiD) analyses were employed to assess the associations between changes in heatwave exposure (days/events) and new-onset diabetes risk. Potential modifying effects of fine particulate matter (PM2.5) and Normalized Difference Vegetation Index (NDVI) were also examined.

resultsUsing heatwave definitions HW2 (≥ 90th percentile for 3 days) and HW12 (≥ 97.5th percentile for 4 days), significant associations between heatwave exposure and increased diabetes incidence were observed (OR = 1.160, 95% CI: 1.008–1.334 and OR = 1.224, 95% CI: 1.012–1.480, respectively). Stratified analyses showed that the association weakened in areas with greater reductions in PM2.5. Additionally, areas with higher NDVI demonstrated a protective modifying effect. Subgroup analyses further indicated a higher diabetes risk among males, individuals aged ≥ 60 years, and those with baseline chronic diseases.

conclusionHeatwave exposure of specific intensity and duration increases the risk of new-onset diabetes, whereas improved air quality and higher vegetation coverage have protective effects. Males, individuals aged 60 years and older, and those with existing chronic diseases are more susceptible. Given ongoing climate change, public health strategies should incorporate high-temperature warnings, air quality management, and urban greening to protect high-risk populations.

Indexed as

Diabetes MellitusEnvironmental ExposureExtreme HeatHot TemperatureAgedAir PollutionChinaCohort StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsAir pollutionCHARLSDiabetesGreen spaceHeatwave exposure

Identifiers

PMID41421994
PMCPMC12831416

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.