Evidence map›Paper›PMID 40596113›Full record

ArticleScientific reports2025

Heat, health, and habitats: analyzing the intersecting risks of climate and demographic shifts in Austrian districts.

Hannah Schuster, Axel Polleres, Amin Anjomshoaa, Johannes Wachs

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

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

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

4 authors.

Hannah SchusterComplexity Science Hub, Vienna, AT-1080, Austria.
Axel PolleresComplexity Science Hub, Vienna, AT-1080, Austria.
Amin AnjomshoaaVienna University of Economics and Business, Vienna, AT-1020, Austria.
Johannes WachsComplexity Science Hub, Vienna, AT-1080, Austria. johannes.wachs@uni-corvinus.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of hot weather on health outcomes of a population is mediated by a variety of factors, including its age profile and local green infrastructure. The combination of warming due to climate change and demographic aging suggests that heat-related health outcomes will deteriorate in the coming decades. Here, we measure the relationship between weekly all-cause mortality and heat days in Austrian districts using a panel data set covering [Formula: see text]. An additional day reaching [Formula: see text] is associated with a [Formula: see text] increase in mortality per 1, 000 inhabitants during summer. This association is increased by approximately [Formula: see text] in districts with a two standard deviation above average share of the population over 65. Using Representative Concentration Pathways (RCP) projections of heat days and demographics in 2050, we observe that districts will have elderly populations and heat days [Formula: see text] standard deviations above the current mean in just 25 years. This predicts a drastic increase in heat-related mortality. At the same time, district green scores, measured using [Formula: see text] meter resolution satellite images of residential areas, significantly moderate the relationship between heat and mortality. Thus, although local policies likely cannot reverse warming or demographic trends, they can take measures to mediate the health consequences of these growing risks, which are highly heterogeneous across regions, even in Austria.

Indexed as

Climate ChangeEcosystemHot TemperatureAgedAustriaDemographyHumansMortalityAgingForecastingGreen spaceHeat and HealthVulnerable populations

Identifiers

PMID40596113
PMCPMC12214907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.