Evidence map›Paper›PMID 41174568›Full record

ArticleBMC public health2025

Health impacts of extreme heat in medically at-risk populations: a space-time stratified case-crossover analysis in Belgium.

Endale Alemayehu Ali, Raf Aerts, Bert Vaes, Charlotte Scheeren, Simon Gabriël Beerten, Karen Van de Vel, Elisa Duarte, Gijs Van Pottelbergh

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Endale Alemayehu AliDepartment of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33, BE-3000, Leuven, Belgium. endalealemayehu.ali@kuleuven.be.
Raf AertsDivision Ecology, Evolution and Biodiversity Conservation, KU Leuven, Leuven, BE-3001, Belgium.
Bert VaesDepartment of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33, BE-3000, Leuven, Belgium.
Charlotte ScheerenDepartment of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33, BE-3000, Leuven, Belgium.
Simon Gabriël BeertenDepartment of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33, BE-3000, Leuven, Belgium.
Karen Van de VelVITO Health, Flemish Institute for Technological Research (VITO), Boeretang 200, Mol, BE-2400, Belgium.
Elisa DuarteI-BioStat, Data Science Institute, Hasselt University, Agoralaan gebouw D, Diepenbeek, BE-3590, Belgium.
Gijs Van PottelberghDepartment of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33, BE-3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of heat on a vulnerable population, particularly those with pre-existing chronic diseases, is a growing public health concern. However, the risks for those with specific conditions and their variation across geographic, demographic, and socioeconomic (SES) status remain underexplored. This study aimed to investigate the association of extreme heat with morbidity and mortality among individuals with pre-existing chronic diseases in Flanders, Belgium. METHODOLOGY: We analysed 14 years (2005-2019) of general practitioners (GPs) data from Flanders, northern Belgium, assessing both morbidity and mortality. Morbidity was defined as GP-recorded general and heat-related illnesses among individuals with pre-existing chronic diseases, while mortality included overall mortality and mortality among people with pre-existing chronic diseases. A space-time-stratified case-crossover design was employed, with a distributed lag non-linear model (DLNM) applied in quasi-Poisson regression. Various subgroup analyses were conducted to identify the most at-risk population. We quantified the relative risk (RR) at the 99th percentile of the daily minimum temperature relative to the minimum morbidity/mortality temperature (MMT).

resultsWe found a strong association of heat with morbidity and mortality. A substantially increased risk of morbidity was observed among individuals with pre-existing heart failure (RR = 2.79 [95% CI: 1.84-4.24]) and a high risk of mortality was found among those with pre-existing hypertension (RR = 2.01 [95% CI: 1.23-3.30]). We also observed a rise in heat-related morbidity risks for individuals with pre-existing Chronic Obstructive Pulmonary Disease (COPD) (RR = 2.09 [95% CI: 1.53-2.85]), hypertension (RR = 1.37 [95% CI: 1.08-1.74), chronic kidney disease (CKD) (RR = 1.74 [95% CI: 1.25-2.42]), and chronic mental health disorders (RR = 1.41 [95% CI: 1.06-1.89]). There was an increased risk of overall mortality (RR = 1.29 [95% CI: 1.02-1.62]) and mortality with pre-existing COPD (RR = 1.80 [95% CI: 1.19-2.73]). Urban populations and low-SES groups had increased heat-related risks for some health outcomes, and the highest vulnerability was observed in those aged 85+ for several chronic diseases.

conclusionOur findings indicated that chronic diseases are associated with higher vulnerability to adverse health effects due to extreme heat. We observed notable variations across geographic, demographic, and socioeconomic subgroups, emphasizing the need for targeted public health strategies.

Indexed as

Chronic DiseaseExtreme HeatHeat Stress DisordersVulnerable PopulationsAdolescentAdultAgedAged, 80 and overAge FactorsBelgiumChildChild, PreschoolCross-Over StudiesFemaleHeart FailureHumansChronic diseaseEnvironmental exposureHeat exposureMorbidityMortality

Identifiers

PMID41174568
PMCPMC12577195

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.