Temporal changes in mortality risk associated with PM10 across 143 cities in 26 countries: a multicountry, multicity time-series study

BACKGROUND: and mortality. METHODS: and mortality were estimated using quasi-Poisson regression after each city time series was divided into non-overlapping 3-year segments. In the second stage, these estimates were pooled by use of longitudinal random-effects meta-regression with calendar year as a predictor. We further investigated whether selected socioeconomic and environmental factors explained observed temporal trends by including these variables in the second-stage model. FINDINGS: concentrations. INTERPRETATION: on mortality has increased over time. Applying historical risk estimates could underestimate the current health burden. Continuous updating of evidence on the health impacts of air pollution is essential to ensure accurate and valid estimates. FUNDING: Wellcome Trust.