Evidence map›Paper›PMID 40823248›Full record

ArticleFrontiers in public health2025

Global trends in disease burdens attributable to ambient and household air pollution: a comparative study of ten populous countries.

Jing Feng, Yannan Wang, Xianghua Meng, Yue Fang

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jing Feng *Department of Rehabilitation Medicine, General Hospital of Northern Theater Command, Shenyang, China.
Yannan Wang *Cadre's Ward, General Hospital of Northern Theater Command, Shenyang, China.
Xianghua MengCadre's Ward, General Hospital of Northern Theater Command, Shenyang, China.
Yue FangCadre's Ward, General Hospital of Northern Theater Command, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To comparatively assess the disease burden attributable to ambient particulate matter (APM) and household air pollution (HAP) across the ten most populous countries between 1990 and 2021. Methods: Data on disability-adjusted life years (DALYs) and age-standardized DALY rates (ASDRs) attributable to APM and HAP were obtained from the Global Burden of Disease Study 2021. Estimated annual percentage change (EAPC) was used to evaluate temporal trends. Quadratic regression models were applied to examine associations between socio-demographic index (SDI) and disease burden. Results: From 1990 to 2021, global APM-related DALYs increased while ASDRs declined. In contrast, both DALYs and ASDRs attributable to HAP decreased markedly. Older adults experienced the highest APM-related burden, whereas children under five were most affected by HAP. Gender differences were also observed, with males generally showing higher burdens. SDI was strongly associated with HAP-related ASDRs ( Conclusion: Significant disparities in air pollution-related disease burdens exist across countries and demographic groups. Clean energy policies, strengthened environmental regulations, and targeted interventions are essential to mitigate health impacts and advance global public health equity.

Indexed as

Air PollutionAir Pollution, IndoorEnvironmental ExposureGlobal Burden of DiseaseGlobal HealthParticulate MatterAdolescentAdultAgedChildChild, PreschoolDisability-Adjusted Life YearsFamily CharacteristicsFemaleHumansMaleParticulate Matterambient particulate matterdisability-adjusted life yearsdisease burdenhousehold air pollutionpublic healthsocio-demographic index

Identifiers

PMID40823248
PMCPMC12350253

What OpenQuestion holds

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LicenceCC BY
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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.