Particulate Matter and Premature Mortality: A Bayesian Meta-Analysis
Open Access
- 19 July 2021
- journal article
- research article
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (14), 7655
- https://doi.org/10.3390/ijerph18147655
Abstract
Background: We present a systematic review of studies assessing the association between ambient particulate matter (PM) and premature mortality and the results of a Bayesian hierarchical meta-analysis while accounting for population differences of the included studies. Methods: The review protocol was registered in the PROSPERO systematic review registry. Medline, CINAHL and Global Health databases were systematically searched. Bayesian hierarchical meta-analysis was conducted using a non-informative prior to assess whether the regression coefficients differed across observations due to the heterogeneity among studies. Results: We identified 3248 records for title and abstract review, of which 309 underwent full text screening. Thirty-six studies were included, based on the inclusion criteria. Most of the studies were from China (n = 14), India (n = 6) and the USA (n = 3). PM2.5 was the most frequently reported pollutant. PM was estimated using modelling techniques (22 studies), satellite-based measures (four studies) and direct measurements (ten studies). Mortality data were sourced from country-specific mortality statistics for 17 studies, Global Burden of Disease data for 16 studies, WHO data for two studies and life tables for one study. Sixteen studies were included in the Bayesian hierarchical meta-analysis. The meta-analysis revealed that the annual estimate of premature mortality attributed to PM2.5 was 253 per 1,000,000 population (95% CI: 90, 643) and 587 per 1,000,000 population (95% CI: 1, 39,746) for PM10. Conclusion: 253 premature deaths per million population are associated with exposure to ambient PM2.5. We observed an unstable estimate for PM10, most likely due to heterogeneity among the studies. Future research efforts should focus on the effects of ambient PM10 and premature mortality, as well as include populations outside Asia. Key messages: Ambient PM2.5 is associated with premature mortality. Given that rapid urbanization may increase this burden in the coming decades, our study highlights the urgency of implementing air pollution mitigation strategies to reduce the risk to population and planetary health.Funding Information
- Melbourne Energy Institute (Melbourne Energy Institute)
This publication has 67 references indexed in Scilit:
- Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancerBMC Medical Research Methodology, 2014
- Evaluation of the Effect of Surface Ozone on Main Crops in East Asia: 2000, 2005, and 2020Water, Air, & Soil Pollution, 2013
- Fully Bayesian Hierarchical Modelling in Two Stages, with Application to Meta-AnalysisJournal of the Royal Statistical Society Series C: Applied Statistics, 2013
- Reductions of PM2.5 Air Concentrations and Possible Effects on Premature Mortality in JapanWater, Air, & Soil Pollution, 2013
- Evaluation of Premature Mortality Caused by Exposure to PM2.5 and Ozone in East Asia: 2000, 2005, 2020Water, Air, & Soil Pollution, 2012
- Valuing the health risks of particulate air pollution in the Pearl River Delta, ChinaEnvironmental Science & Policy, 2012
- Comparison of Air Quality–Related Mortality Impacts of Different Transportation Modes in the United StatesTransportation Research Record: Journal of the Transportation Research Board, 2011
- Particulate Matter Air Pollution and Cardiovascular DiseaseJournal of the American College of Cardiology, 2010
- Propagation of Population Pharmacokinetic Information Using a Bayesian Approach: Comparison with Meta-AnalysisJournal of Pharmacokinetics and Pharmacodynamics, 2005
- Incorporating Bayesian Ideas into Health-Care EvaluationStatistical Science, 2004