Cited by 17Air Quality and Health ImpactsDementia and Cognitive Impairment ResearchHealth, Environment, Cognitive Aging

Putting fine particulate matter and dementia in the wider context of noncommunicable disease: where are we now and what should we do next: a systematic review

Open access
Peters, Ruth, Mudway, Ian, Booth, Andrew, Peters, Jean, Anstey, Kaarin J.·2021·Neuroepidemiology

Abstract

Introduction: A significant proportion of the global population regularly experience air quality poorer than that recommended by the World Health Organization. Air pollution, especially fine particulate matter (PM 2.5), is a risk factor for various noncommunicable diseases (NCDs) and is emerging as a risk factor for dementia. To begin to understand the full impact of PM 2.5, we review the longitudinal epidemiological evidence linking PM 2.5 to both dementia and to other leading NCDs and highlight the evidence gaps. Our objective was to systematically review the current epidemiological evidence for PM 2.5 as a risk factor for cognitive decline and incident dementia and to put this in context with a systematic overview of PM 2.5 as a potential risk factor in other leading NCDs. Methods: We performed 2 systematic reviews. A high-level review of reviews examining the relationship between PM 2.5 and leading NCDs and an in-depth review of the longitudinal epidemiological data examining relationships between PM 2.5 incident dementia and cognitive decline. Results: There were robust associations between PM 2.5 and NCDs although in some cases the evidence was concentrated on short rather than longer term exposure. For those articles reporting on incident dementia, all reported on longer term exposure and 5 of the 7 eligible articles found PM 2.5 to be associated with increased risk. Conclusion: The evidence base for PM 2.5 as a risk factor for dementia is growing. It is not yet as strong as that for other NCDs. However, varied measurement/methodology hampers clarity across the field. We propose next steps.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1159/000515394

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 6

  1. [10]10. Grande G, Ljungman PLS, Eneroth K, Bel- lander T, Rizzuto D. Association between car- diovascular disease and long-term exposure to air pollution with the risk of dementia. JAMA Neurol. 2020 Jul 1; 77(7): 801-9.
  2. [14]14. Loop MS, Kent ST, Al-Hamdan MZ, Crosson WL, Estes SM, Estes MG Jr, et al. Fine par- ticulate matter and incident cognitive impair- ment in the REasons for Geographic and Ra- cial Differences in Stroke (REGARDS) co- hort. PLoS One. 2013; 8(9): e75001.
  3. [19]19. Carey IM, Anderson HR, Atkinson RW, Beevers SD, Cook DG, Strachan DP, et al. Are noise and air pollution related to the incidence of dementia? A cohort study in London, England. BMJ Open. 2018; 8(9): e022404.
  4. [26]26. Weagle CL, Snider G, Li C, van Donkelaar A, Philip S, Bissonnette P, et al. Global sources of fine particulate matter: interpretation of PM(2.5) chemical composition observed by SPARTAN using a Global Chemical Trans- port Model. Environ Sci Technol. 2018 Oct 16; 52(20): 11670-81.
  5. [28]28. Killin LO, Starr JM, Shiue IJ, Russ TC. Envi- ronmental risk factors for dementia: a system- atic review. BMC Geriatr. 2016 Oct 12; 16(1): 175.
  6. [30]30. Fu P, Guo X, Cheung FMH, Yung KKL. The association between PM(2.5) exposure and neurological disorders: a systematic review and meta-analysis. Sci Total Environ. 2019 Mar 10; 655: 1240-8.

Cited by

Sorted by citations

Authors
Peters, R., Mudway, I., Booth, A., Peters, J., & Anstey, K. J.
Affiliations
  • UNSW Sydney (AU)
  • MRC Centre for Environment and Health (GB)
  • University of Sheffield (GB)
Venue
Neuroepidemiology
Publisher
S. Karger AG
Published
2021
Volume
55
Issue
4
Pages
253-265
ISSN
  • 0251-5350 (ISSN-L)
  • 1423-0208
OpenAlex
W3164604390
Cited by
17
References
35
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 2 · 2022: 3 · 2021: 1
FWCI
0.26
Type
journal article
Language
en
Open access
Locations
  • Neuroepidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
Funders
  • National Institute for Health Research Health Protection Research Unit
  • National Institute for Health and Care Research
  • Department of Health and Social Care
  • Imperial College London
  • Public Health England
  • Medical Research Council (MR/S019669/1)
  • National Health and Medical Research Council (FL190100011)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords
PM2.5, air pollution, dementia, non-communicable diseases, cognitive decline, incident dementia, long-term exposure, air quality, risk factors
MeSH terms
Noncommunicable Diseases, Air Pollutants, Air Pollution, Dementia, Environmental Exposure, Humans, Particulate Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review