Short-term effects of ambient particles on cardiovascular and respiratory mortality

Analitis, Antonis, Katsouyanni, Klea, Dimakopoulou, Konstantina, Samoli, Evangelia, Nikoloulopoulos, Aristidis K ORCID: https://orcid.org/0000-0003-0853-0084, Petasakis, Yannis, Touloumi, Giota, Schwartz, Joel, Anderson, Hugh, Cambra, Koldo, Forastiere, Francesco, Zmirou, Denis, Vonk, Judith, Clancy, Luke, Kriz, Bohumir, Bobvos, Janos and Pekkanen, Juha (2006) Short-term effects of ambient particles on cardiovascular and respiratory mortality. Epidemiology, 17 (2). pp. 230-233. ISSN 1531-5487

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Abstract

Background: Particulate air pollution is associated with increased mortality. There is a need for European results from multicountry databases concerning cause-specific mortality to obtain more accurate effect estimates. Methods: We report the estimated effects of ambient particle concentrations (black smoke and particulate matter less than 10 [mu]m [PM10]) on cardiovascular and respiratory mortality, from 29 European cities, within the Air Pollution and Health: a European Approach (APHEA2) project. We applied a 2-stage hierarchical modeling approach assessing city-specific effects first and then overall effects. City characteristics were considered as potential effect modifiers. Results: An increase in PM10 by 10 [mu]g/m3 (lag 0 + 1) was associated with increases of 0.76% (95% confidence interval = 0.47 to 1.05%) in cardiovascular deaths and 0.58% (0.21 to 0.95%) in respiratory deaths. The same increase in black smoke was associated with increases of 0.62% (0.35 to 0.90%) and 0.84% (0.11 to 1.57%), respectively. Conclusions: These effect estimates are appropriate for health impact assessment and standard-setting procedures.

Item Type:	Article
Uncontrolled Keywords:	sdg 11 - sustainable cities and communities ,/dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Statistics (former - to 2024) Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science
Depositing User:	Michelle Harris
Date Deposited:	22 Mar 2011 11:33
Last Modified:	07 Nov 2024 12:34
URI:	https://ueaeprints.uea.ac.uk/id/eprint/26832
DOI:	10.1097/01.ede.0000199439.57655.6b

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