Long-Term Exposure to Low-Level PM2.5 and Mortality: Investigation of Heterogeneity by Harmonizing Analyses in Large Cohort Studies in Canada, United States, and Europe

• Published in: Environmental health perspectives 2023-12, Vol.131 (12), p.127003-127003
• Main Authors: Chen, Jie, Braun, Danielle, Christidis, Tanya, Cork, Michael, Rodopoulou, Sophia, Samoli, Evangelia, Stafoggia, Massimo, Wolf, Kathrin, Wu, Xiao, Yuchi, Weiran, Andersen, Zorana J., Atkinson, Richard, Bauwelinck, Mariska, de Hoogh, Kees, Janssen, Nicole A.H., Katsouyanni, Klea, Klompmaker, Jochem O., Kristoffersen, Doris Tove, Lim, Youn-Hee, Oftedal, Bente, Strak, Maciej, Vienneau, Danielle, Zhang, Jiawei, Burnett, Richard T., Hoek, Gerard, Dominici, Francesca, Brauer, Michael, Brunekreef, Bert
• Format: Article
• Language: English
• ISSN: 0091-6765; 1552-9924
• DOI: 10.1289/EHP12141

BACKGROUNDStudies across the globe generally reported increased mortality risks associated with particulate matter with aerodynamic diameter ≤2.5μm (PM2.5) exposure with large heterogeneity in the magnitude of reported associations and the shape of concentration-response functions (CRFs). We aimed to evaluate the impact of key study design factors (including confounders, applied exposure model, population age, and outcome definition) on PM2.5 effect estimates by harmonizing analyses on three previously published large studies in Canada [Mortality-Air Pollution Associations in Low Exposure Environments (MAPLE), 1991-2016], the United States (Medicare, 2000-2016), and Europe [Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE), 2000-2016] as much as possible.METHODSWe harmonized the study populations to individuals 65+ years of age, applied the same satellite-derived PM2.5 exposure estimates, and selected the same sets of potential confounders and the same outcome. We evaluated whether differences in previously published effect estimates across cohorts were reduced after harmonization among these factors. Additional analyses were conducted to assess the influence of key design features on estimated risks, including adjusted covariates and exposure assessment method. A combined CRF was assessed with meta-analysis based on the extended shape-constrained health impact function (eSCHIF).RESULTSMore than 81 million participants were included, contributing 692 million person-years of follow-up. Hazard ratios and 95% confidence intervals (CIs) for all-cause mortality associated with a 5-μg/m3 increase in PM2.5 were 1.039 (1.032, 1.046) in MAPLE, 1.025 (1.021, 1.029) in Medicare, and 1.041 (1.014, 1.069) in ELAPSE. Applying a harmonized analytical approach marginally reduced difference in the observed associations across the three studies. Magnitude of the association was affected by the adjusted covariates, exposure assessment methodology, age of the population, and marginally by outcome definition. Shape of the CRFs differed across cohorts but generally showed associations down to the lowest observed PM2.5 levels. A common CRF suggested a monotonically increased risk down to the lowest exposure level. https://doi.org/10.1289/EHP12141.