Evidence map›Paper›PMID 39433792›Full record

ArticleScientific reports2024

Compound impact of heatwaves on vulnerable groups considering age, income, and disability.

Yeji Kang, Jongchul Park, Dong-Ho Jang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Racial and Economic Disparities in High-Temperature Exposure in Brazil.International journal of environmental research and public health · 2025
    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

3 authors.

Yeji KangKorea Adaptation Center for Climate Change, Korea Environment Institute, Sejong, 30147, Korea.
Jongchul ParkDepartment of Geography, Kongju National University, Gongju, 32588, Korea.
Dong-Ho JangDepartment of Geography, Kongju National University, Gongju, 32588, Korea. gisrs@kongju.ac.kr.

Funding

Kongju National University 2021National Research Foundation of Korea NRF-2022S1A5A8051258
6 · The paper itself

Abstract

The increasing frequency and intensity of heat waves due to climate change and urbanization have caused serious public health problems, especially in urban areas in which the heat effects are amplified by dense infrastructure and limited green space. This study examined the impact of heatwaves on vulnerable populations in Korean cities, focusing on how age, income, and disability are associated with higher health risks. In our study, we analyzed healthcare big data from 2010 to 2022 for seven major Korean cities. We employed a distributed lag non-linear model to assess the relationship between heat exposure and health outcomes, allowing us to quantify the compounded vulnerabilities due to socioeconomic and physical factors. The results showed that the association of compounded vulnerability was more pronounced in patients hospitalized through the emergency room, a severe health outcome, than in patients with mild health outcome such as outpatient visits for heat-related illnesses. The association of compounded vulnerability was particularly evident in the elderly population. These findings suggest the need for tailored heatwave preparedness strategies for vulnerable groups, contributing to the broader discourse on climate adaptation and public health resilience.

Indexed as

Vulnerable PopulationsAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolCitiesClimate ChangeFemaleHot TemperatureHumansIncomeMaleMiddle AgedCompound impactSocioeconomic factorsSouth KoreaUrban heat vulnerabilityVulnerable populations

Identifiers

PMID39433792
PMCPMC11494128

What OpenQuestion holds

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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.