Evidence map›Paper›PMID 42724089›Full record

ArticleDiscover public health2026

A comparative document analysis of national policies on physical activity among South East Asian region countries.

Srinithy RadhaKrishnan, Arushi Thapar, Lathadevi Chilgod, Pragati B Hebbar

Abstract read
In one paragraph

Article in Discover public health, 2026. 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

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

4 authors.

Srinithy RadhaKrishnanCentre for Health Systems, Institute of Public Health, Bengaluru, Karnataka India.
Arushi ThaparCentre for Health Systems, Institute of Public Health, Bengaluru, Karnataka India.ORCID 0009-0009-8618-7569
Lathadevi ChilgodCentre for Health Systems, Institute of Public Health, Bengaluru, Karnataka India.ORCID 0000-0002-8094-8066
Pragati B HebbarCentre for Health Systems, Institute of Public Health, Bengaluru, Karnataka India.ORCID 0000-0002-5410-4943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical inactivity is a modifiable risk factor identified by the World Health Organization (WHO) as the fourth leading cause of global mortality. Global estimates indicate that 27.5% of adults and 81% of adolescents aged 11-17 do not meet the recommended levels of physical activity. Over the past two decades, research and policy development on physical activity have increased globally. This policy analysis aims to enhance understanding of the current status of physical activity related policies across 11 WHO South East Asia Region (SEAR) nations, contextualized with Indian policy developments. A comparative document analysis approach was adopted and a systematic search of policy documents was conducted across multiple governmental and non-governmental sources using specific search terms. The initial search identified 50 documents and after screening against the inclusion and exclusion criteria, 14 documents were included in the analysis. Select components of the Comprehensive Analysis of Policy on Physical Activity (CAPPA) Framework were used as a guiding framework for the analysis. The study found that several SEAR countries lacked standalone national physical activity policies, relying instead on guidelines within broader noncommunicable disease policies. It also found that the policies had a limited focus on tailored strategies across age, sex and socio-economic backgrounds. The findings underscore the need for standardised and disaggregated data on the prevalence of physical inactivity. Further it highlights opportunities for strengthening inclusivity and effectiveness of physical activity policies in India and similar contexts. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12982-026-02739-8.

Identifiers

PMID42724089
PMCPMC13558362

What OpenQuestion holds

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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.