Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

. 2019 Aug 22 ; 381 (8) : 705-715.

Jazyk angličtina Země Spojené státy americké Médium print

Typ dokumentu hodnotící studie, časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid31433918

Grantová podpora
PRX17/00705 Ministerio de Educación, Cultura y Deporte - International
K21004000001-10A0500-00710 National Research Foundation of Korea - International
MR/R013349/1 Medical Research Council - United Kingdom
MR/R013349/1 United States - United States
91643205 National Natural Science Foundation of China - International
MR/M022625/1 Medical Research Council - United Kingdom
Grant 16-250 United States - United States
310373 Academy of Finland - International
IUT34-17 United States - United States
310372 Academy of Finland - International
PI15/00515 Secretaría de Estado de Investigacion, Desarrollo e Innovacion - International
P30 ES019776 NIEHS NIH HHS - United States
MR/S019669/1 Medical Research Council - United Kingdom
91843302 National Natural Science Foundation of China - International
APP1163693 United States - United States
18-22125S Grantová Agentura České Republiky - International
APP1107107 United States - United States

BACKGROUND: The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. METHODS: We evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 μm or less (PM10) and fine PM with an aerodynamic diameter of 2.5 μm or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration-response curves from each city were pooled to allow global estimates to be derived. RESULTS: On average, an increase of 10 μg per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration-response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. CONCLUSIONS: Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.).

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