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Long-term Associations Between Time-varying Exposure to Ambient PM 2.5 and Mortality: An Analysis of the UK Biobank.
- Source :
-
Epidemiology (Cambridge, Mass.) [Epidemiology] 2025 Jan 01; Vol. 36 (1), pp. 1-10. Date of Electronic Publication: 2024 Oct 22. - Publication Year :
- 2025
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Abstract
- Background: Evidence for long-term mortality risks of PM 2.5 comes mostly from large administrative studies with incomplete individual information and limited exposure definitions. Here we assess PM 2.5 -mortality associations in the UK Biobank cohort using detailed information on confounders and exposure.<br />Methods: We reconstructed detailed exposure histories for 498,090 subjects by linking residential data with high-resolution PM 2.5 concentrations from spatiotemporal machine-learning models. We split the time-to-event data and assigned yearly exposures over a lag window of 8 years. We fitted Cox proportional hazard models with time-varying exposure controlling for contextual- and individual-level factors, as well as trends. In secondary analyses, we inspected the lag structure using distributed lag models and compared results with alternative exposure sources and definitions.<br />Results: In fully adjusted models, an increase of 10 μg/m³ in PM 2.5 was associated with hazard ratios of 1.27 (95% confidence interval: 1.06, 1.53) for all-cause, 1.24 (1.03, 1.50) for nonaccidental, 2.07 (1.04, 4.10) for respiratory, and 1.66 (0.86, 3.19) for lung cancer mortality. We found no evidence of association with cardiovascular deaths (hazard ratio = 0.88, 95% confidence interval: 0.59, 1.31). We identified strong confounding by both contextual- and individual-level lifestyle factors. The distributed lag analysis suggested differences in relevant exposure windows across mortality causes. Using more informative exposure summaries and sources resulted in higher risk estimates.<br />Conclusions: We found associations of long-term PM 2.5 exposure with all-cause, nonaccidental, respiratory, and lung cancer mortality, but not with cardiovascular mortality. This study benefits from finely reconstructed time-varying exposures and extensive control for confounding, further supporting a plausible causal link between long-term PM 2.5 and mortality.<br />Competing Interests: Disclosure: The authors report no conflicts of interest.<br /> (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
- Subjects :
- Humans
United Kingdom epidemiology
Male
Female
Middle Aged
Aged
Biological Specimen Banks
Mortality trends
Time Factors
Air Pollution adverse effects
Air Pollutants adverse effects
Air Pollutants analysis
Adult
Cohort Studies
Machine Learning
Respiratory Tract Diseases mortality
UK Biobank
Particulate Matter adverse effects
Proportional Hazards Models
Environmental Exposure adverse effects
Environmental Exposure statistics & numerical data
Cardiovascular Diseases mortality
Subjects
Details
- Language :
- English
- ISSN :
- 1531-5487
- Volume :
- 36
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Epidemiology (Cambridge, Mass.)
- Publication Type :
- Academic Journal
- Accession number :
- 39435892
- Full Text :
- https://doi.org/10.1097/EDE.0000000000001796