Evidence map›Paper›PMID 42091093›Full record

ArticleOsong public health and research perspectives2026

Climate change and older adults: mapping health impacts and intervention strategies: a scoping review.

Ponnarasu Ponnu, Manish Taywade, Sandeep Das

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ponnarasu PonnuDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Manish TaywadeDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Sandeep DasDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis scoping review aimed to examine the impact of climate change on the health of older adults and to evaluate existing interventions targeting this population.

methodsThe review followed Arksey and O'Malley's framework and the PRISMA-ScR guidelines. A comprehensive search was conducted across PubMed, Google Scholar, Scopus, and Web of Science. Eligible studies included those focusing on adults aged 60 years and older that examined the physical and mental health impacts of climate change across any geographic setting or level of care. Descriptive and thematic analyses were performed to identify key findings and knowledge gaps.

resultsClimate change adversely affects the physical and mental health of older adults through increased exposure to infectious diseases, extreme temperatures, and poor air and water quality. Older adults are particularly vulnerable to heat-related illnesses, cardiovascular events, and respiratory conditions, with women and individuals with comorbidities at higher risk. Climate change is also associated with increased anxiety, insomnia, and other mental health concerns in this population. Social support and targeted interventions-such as community awareness programs and subsidized cooling costs-are associated with reduced risk. Community-based initiatives have demonstrated potential in reducing mortality and enhancing resilience among older adults during extreme weather events.

conclusionHealthcare professionals should be educated about climate-related health outcomes affecting older adults. Protecting this vulnerable population requires urgent, inclusive, and targeted strategies, including education, improved healthcare access, and tailored interventions.

Indexed as

AgingClimate changeEnvironmental exposureVulnerable population

Identifiers

PMID42091093
PMCPMC13346910

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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.