Evidence map›Paper›PMID 39217722›Full record

ArticleEnvironment international2024

Identifying groups at-risk to extreme heat: Intersections of age, race/ethnicity, and socioeconomic status.

Austin Clark, Sara Grineski, David S Curtis, Ethan Siu Leung Cheung

Abstract read
In one paragraph

Article in Environment international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Weather Information Seeking and Heat-Health Protective Actions During Pregnancy: An Exploratory Study.International journal of environmental research and public health · 2026
    Article
  4. Article
  5. Article
  6. Global Warming and the Elderly: A Socio-Ecological Framework.International journal of environmental research and public health · 2026
    Review
  7. Article
  8. Machine Learning-Based Prediction of Heatwave-Related Hospitalizations: A Case Study in Matam, Senegal.International journal of environmental research and public health · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. 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.

Austin ClarkSchool of Environment, Society & Sustainability, University of Utah, Salt Lake City, UT, 84112 USA. Electronic address: austin.s.clark@utah.edu.
Sara GrineskiDepartment of Sociology, University of Utah, Salt Lake City, UT, 84112 USA. Electronic address: sara.grineski@soc.utah.edu.
David S CurtisDepartment of Family and Consumer Studies, University of Utah, Salt Lake City, UT, 84112 USA. Electronic address: david.curtis@fcs.utah.edu.
Ethan Siu Leung CheungDepartment of Family and Consumer Studies, University of Utah, Salt Lake City, UT, 84112 USA. Electronic address: u6051622@utah.edu.

Funding

Area-level Socio-economic Conditions and Individual-level Health and Mortality: Exploring Place-Based Mechanisms and Individual-level Psychosocial ProcessesR01AG080440 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI David Stuart Curtis · 2023 to 2026
$2.2M
NIA NIH HHS R01 AG080440
6 · The paper itself

Abstract

Anthropogenic climate change has resulted in a significant rise in extreme heat events, exerting considerable but unequal impacts on morbidity and mortality. Numerous studies have identified inequities in heat exposure across different groups, but social identities have often been viewed in isolation from each other. Children (5 and under) and older adults (65 and older) also face elevated risks of heat-related health impacts. We employ an intersectional cross-classificatory approach to analyze the distribution of heat exposure between sociodemographic categories split into age groups in the contiguous US. We utilize high-resolution daily air temperature data to establish three census tract-level heat metrics (i.e., average summer temperature, heat waves, and heat island days). We pair those metrics with American Community Survey estimates on racial/ethnic, socioeconomic, and disability status by age to calculate population weighted mean exposures and absolute disparity metrics. Our findings indicate few substantive differences between age groups overall, but more substantial differences between sociodemographic categories within age groups, with children and older adults from socially marginalized backgrounds facing greater exposure than adults from similar backgrounds. When looking at sociodemographic differences by age, people of color of any age and older adults without health insurance emerge as the most exposed groups. This study identifies groups who are most exposed to extreme heat. Policy and program interventions aimed at reducing the impacts of heat should take these disparities in exposure into account to achieve health equity objectives.

Indexed as

Age FactorsEthnicityExtreme HeatSocial ClassAdolescentAdultAgedChildChild, PreschoolClimate ChangeFemaleHot TemperatureHumansInfantMaleMiddle AgedAgeEnvironmental injusticeHeatIntersectionalityVulnerability

Identifiers

PMID39217722
PMCPMC11569890

What OpenQuestion holds

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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.