Evidence map›Paper›PMID 41278250›Full record

ArticleBMJ public health2025

Integrating gender in health interventions for adapting to extreme heat in low- and middle-income countries: a scoping review.

Karthika Kumar, Gabriela De Jesus Cipriano Flores, Zeinab Umme Mulla, Jane E Hirst

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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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

4 authors.

Karthika KumarImperial College London-South Kensington Campus, London, UK.ORCID https://orcid.org/0009-0009-1531-8568
Gabriela De Jesus Cipriano FloresSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-7562-7540
Zeinab Umme MullaImperial College London School of Public Health, London, UK.
Jane E HirstImperial College London, The George Institute for Global Health UK, London, UK.ORCID https://orcid.org/0000-0002-0176-2651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Climate change has intensified extreme heat events, disproportionately affecting women in low- and middle-income countries (LMICs) through pregnancy complications, higher mortality rates and compounded socioeconomic vulnerabilities. Despite numerous interventions, limited research evaluates health impacts or integrates gender considerations. This study identifies community-level heat adaptation interventions measuring health outcomes in LMICs and examines gender integration using a socioecological framework. Methods: We conducted a scoping review using the Joanna Briggs Institute guidelines. We searched MEDLINE, EMBASE, Global Health and Scopus. Primary studies, published between 2013 and 2024, that described community-level heat adaptation interventions in LMICs (as defined by the World Bank) and reported at least one human health outcome were included. The review was limited to English-language publications. Gender integration was assessed using the World Health Organization's (WHO) Gender-Responsive Assessment Scale, assigning each study an overall rating across five domains on the gender continuum. Results: Of 468 studies, 5 met the inclusion criteria, with 1 study each from India, Pakistan, Nicaragua, Burkina Faso and El Salvador. Participant numbers ranged from 16 to 18 000. The interventions described included cool roofing technologies, workplace interventions and community education programmes. Health outcomes measures included physiological indicators (eg, heart rate and sleep) and changes in knowledge, attitudes and practices related to heat stress. Three studies were classified as gender blind, one as gender sensitive and one as gender specific. Studies reported short durations, reliance on self-reported data and sustainability challenges. Conclusion: There is a limited number of studies reporting the effects of heat adaptation interventions on health outcomes in LMICs, and most of these do not sufficiently consider gender differences in either their design or implementation. Our findings emphasise the need for more research in this area with a focus on gender-integrated interventions to effectively mitigate heat-related health risks for vulnerable populations in LMICs.

Indexed as

Public HealthScoping ReviewSociodemographic Factors

Identifiers

PMID41278250
PMCPMC12636985

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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.