Evidence map›Paper›PMID 37799350›Full record

ArticleClimate risk management2022

Depopulation, super aging, and extreme heat events in South Korea.

Oh Seok Kim, Jihyun Han, Kee Whan Kim, Stephen A Matthews, Changsub Shim

Abstract read
In one paragraph

Article in Climate risk management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Oh Seok KimDepartment of Geography, Graduate School of Korea University, Seoul, Republic of Korea.
Jihyun HanDivision of Climate and Environmental Research, Seoul Institute of Technology, Seoul, Republic of Korea.
Kee Whan KimDepartment of National Statistics, Korea University, Sejong, Republic of Korea.
Stephen A MatthewsDepartment of Sociology and Criminology, Penn State University, University Park, PA, USA.
Changsub ShimDivision of Atmospheric Environment, Korea Environment Institute, Sejong, Republic of Korea.

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MATTHEWS, STEPHEN A · 2001 to 2016
$9.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025NICHD NIH HHS R24 HD041025
6 · The paper itself

Abstract

South Korea's population is declining and its composition changing, associated with lowest-low fertility rates and rapid aging (super aging). When estimating changes in future exposure to extreme heat events (EHE), events that are predicted to be intensified due to climate change, it is important to incorporate demographic dynamics. We analyze business-as-usual (BAU) population and climate scenarios-where BAU refers to no significant change in current processes and trends in either domain-from 2010 to 2060 for South Korea. Data for both BAU scenarios are spatially linked and used to measure and identify national and sub-national and age-group specific EHE exposure. The results reveal an increasing exposure to EHE over time at the national level, but this varies widely within the country, measured at the municipal level. The most intensive exposure levels will be in the decade ending in 2040 driven by high estimated severe EHE. Sub-nationally, Seoul will be the most vulnerable municipality associated with super aging, while severe EHE not demographic factors will be relevant in Daegu, the second-most vulnerable metropolitan area. By 2060, national estimates suggest the older population will be up to four times more exposed to EHE than today. While the population of South Korea will decline, the rapid aging of the population ensures that specific regions of the country will become exceedingly vulnerable to EHE.

Indexed as

Business-as-usual populationClimate changeclimate scenariosExtreme heat eventsPopulation agingPopulation dynamics

Identifiers

PMID37799350
PMCPMC10553378

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.