Evidence map›Paper›PMID 40308905›Full record

ArticleFrontiers in public health2025

Temporal trends of particulate matter pollution and its health burden, 1990-2021, with projections to 2036: a systematic analysis for the global burden of disease study 2021.

Tao Fang, Yanbo Di, Yang Xu, Na Shen, Haojun Fan, Shike Hou, Xiaoxue Li

Abstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. [Effects of particulate matter pollution on human skin].Dermatologie (Heidelberg, Germany) · 2026
    Review
  4. Counterintuitive PMInternational journal of environmental research and public health · 2026
    Article
  5. Trends and projections of PMFrontiers in public health · 2026
    Article
  6. Review
  7. 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

7 authors.

Tao Fang *Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Yanbo Di *The Fourth Central Hospital, Medical School of Tianjin University, Tianjin University, Tianjin, China.
Yang Xu *Department of Medicine, Tianjin Medical College, Tianjin, China.
Na ShenCentral Laboratory, Tianjin 4th Center Hospital, Tianjin, China.
Haojun FanInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Shike HouInstitute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Xiaoxue LiDisaster Medicine Research Center, Medical Innovation Research Division of the Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Particulate matter pollution (PM2.5) is a leading global health risk factor. We analyzed the spatiotemporal trends of diseases attributable to PM2.5 at global, regional, and national levels from 1990 to 2021. Methods: Using data from the Global Burden of Disease (GBD) 2021 study, we assessed global, regional, and national deaths and disability-adjusted life years (DALYs) due to PM2.5, along with age-standardized mortality rates (ASMR) and age-standardized DALY rates (ASDR), categorized by age, sex, year, location, and disease type. We used average annual percentage change (AAPC) to illustrate trends from 1990 to 2021. Spearman correlation analysis was conducted to examine the relationship between the socio-demographic index (SDI) and age-standardized rates (ASRs) across 204 countries. Bayesian age-period-cohort (BAPC) analysis was used to project trends for 2022-2036. Results: In 2021, PM2.5 exposure contributed to 7.83 million deaths and 231.51 million DALYs globally. The age-standardized rates decreased to 95.69 per 100,000 for deaths (AAPC = -2.12) and 2984.47 per 100,000 for DALYs (AAPC = -2.22), compared to 1990. Disease burdens related to PM2.5, as reflected by ASMR and ASDR, declined across SDI quintiles and GBD super regions from 1990 to 2021. The low SDI quintile had the highest disease burden (ASMR: 211.39, ASDR: 6,114.26). Correlation analysis revealed a significant negative relationship between ASRs and SDI. South Asia and sub-Saharan Africa experienced the highest disease burdens. Males had higher disease burdens than females globally and in all regions. The burden was particularly severe for children under five and older adults. Ischemic heart disease and stroke were the leading causes of PM2.5-related deaths and DALYs. Diabetes mellitus saw an increase in both deaths and DALYs. The BAPC model predicts continued declines in PM2.5-related ASDR and ASMR over the next 15 years. Conclusion: With population growth and an aging demographic, the public health burden associated with PM2.5 exposure remains a major concern. It is imperative to develop targeted and proactive strategies that account for the unique circumstances and challenges of different regions.

Indexed as

Air PollutionEnvironmental ExposureGlobal Burden of DiseaseParticulate MatterAdultAgedDisability-Adjusted Life YearsFemaleGlobal HealthHumansMaleMiddle AgedMortalityQuality-Adjusted Life YearsParticulate Matterburden of diseaseLevel-3 diseasesparticulate matter pollutionPM2.5projectiontemporal trends

Identifiers

PMID40308905
PMCPMC12041061

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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.