Cited by 371Air Quality and Health ImpactsEnergy and Environment ImpactsHealth, Environment, Cognitive Aging

The 2016 global and national burden of diabetes mellitus attributable to PM 2·5 air pollution

Open access
Bowe, Benjamin, Xie, Yan, Li, Tingting, Yan, Yan, Xian, Hong, Al-Aly, Ziyad·2018·The Lancet Planetary Health

Abstract

Background PM 2·5 air pollution is associated with increased risk of diabetes; however, a knowledge gap exists to further define and quantify the burden of diabetes attributable to PM 2·5 air pollution. Therefore, we aimed to define the relationship between PM 2·5 and diabetes. We also aimed to characterise an integrated exposure response function and to provide a quantitative estimate of the global and national burden of diabetes attributable to PM 2·5 . Methods We did a longitudinal cohort study of the association of PM 2·5 with diabetes. We built a cohort of US veterans with no previous history of diabetes from various databases. Participants were followed up for a median of 8·5 years, we and used survival models to examine the association between PM 2·5 and the risk of diabetes. All models were adjusted for sociodemographic and health characteristics. We tested a positive outcome control (ie, risk of all-cause mortality), negative exposure control (ie, ambient air sodium concentrations), and a negative outcome control (ie, risk of lower limb fracture). Data for the models were reported as hazard ratios (HRs) and 95% CIs. Additionally, we reviewed studies of PM 2·5 and the risk of diabetes, and used the estimates to build a non-linear integrated exposure response function to characterise the relationship across all concentrations of PM 2·5 exposure. We included studies into the building of the integrated exposure response function if they scored at least a four on the Newcastle-Ottawa Quality Assessment Scale and were only included if the outcome was type 2 diabetes or all types of diabetes. Finally, we used the Global Burden of Disease study data and methodologies to estimate the attributable burden of disease (ABD) and disability-adjusted life-years (DALYs) of diabetes attributable to PM 2·5 air pollution globally and in 194 countries and territories. Findings We examined the relationship of PM 2·5 and the risk of incident diabetes in a longitudinal cohort of 1 729 108 participants followed up for a median of 8·5 years (IQR 8·1–8·8). In adjusted models, a 10 μg/m 3 increase in PM 2·5 was associated with increased risk of diabetes (HR 1·15, 95% CI 1·08–1·22). PM 2·5 was associated with increased risk of death as the positive outcome control (HR 1·08, 95% CI 1·03–1·13), but not with lower limb fracture as the negative outcome control (1·00, 0·91–1·09). An IQR increase (0·045 μg/m 3 ) in ambient air sodium concentration as the negative exposure control exhibited no significant association with the risk of diabetes (HR 1·00, 95% CI 0·99–1·00). An integrated exposure response function showed that the risk of diabetes increased substantially above 2·4 μg/m 3 , and then exhibited a more moderate increase at concentrations above 10 μg/m 3 . Globally, ambient PM 2·5 contributed to about 3·2 million (95% uncertainty interval [UI] 2·2–3·8) incident cases of diabetes, about 8·2 million (95% UI 5·8–11·0) DALYs caused by diabetes, and 206 105 (95% UI 153 408–259 119) deaths from diabetes attributable to PM 2·5 exposure. The burden varied substantially among geographies and was more heavily skewed towards low-income and lower-to-middle-income countries. Interpretation The global toll of diabetes attributable to PM 2·5 air pollution is significant. Reduction in exposure will yield substantial health benefits. Funding US Department of Veterans Affairs.

Integrity signals

Registry

Crossref · 10.1016/s2542-5196(18)30140-2

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • There are known factors associated with both tuberculosis and household air pollution exposure, such as diabetes mellitus and other chronic diseases, that the study did not have data on and could not control for.

    “Additionally, there are other known factors associated with both TB and exposure to HAP that we do not have data on in our sample such as diabetes mellitus and other chronic diseases39 and therefore cannot control for.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bowe, B., Xie, Y., Li, T., Yan, Y., Xian, H., & Al-Aly, Z.
Affiliations
  • VA St. Louis Health Care System (US)
  • Washington University in St. Louis (US)
Venue
The Lancet Planetary Health
Publisher
Elsevier BV
Published
2018-07
Volume
2
Issue
7
Pages
e301-e312
ISSN
2542-5196 (ISSN-L)
OpenAlex
W2811408230
Cited by
371
References
5
Citations by year
2026: 19 · 2025: 38 · 2024: 44 · 2023: 48 · 2022: 57 · 2021: 53 · 2020: 47 · 2019: 57 · 2018: 8
FWCI
20.38
Type
journal article
Language
en
Open access
Locations
  • The Lancet Planetary Health (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • U.S. Department of Veterans Affairs
  • Office of Research and Development
  • Health Services Research and Development
  • Centers for Medicare and Medicaid Services
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Pollution › Energy and Environment Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords
PM2.5 pollution, diabetes mellitus, type 2 diabetes, attributable burden of disease, disability-adjusted life years, global burden of disease, all-cause mortality, lower limb fractures, exposure-response relationship
MeSH terms
Global Burden of Disease, Air Pollution, Diabetes Mellitus, Diabetes Mellitus, Type 2, Humans, Longitudinal Studies, Models, Theoretical, United States, Veterans, Global Health, Quality-Adjusted Life Years, 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