Skip Navigation



Biostatistics Advance Access published online on April 17, 2009

Biostatistics, doi:10.1093/biostatistics/kxp010
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplementary Data
Right arrow All Versions of this Article:
10/3/409    most recent
kxp010v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Lee, D.
Right arrow Articles by Mitchell, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, D.
Right arrow Articles by Mitchell, R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Air pollution and health in Scotland: a multicity study

Duncan Lee* and Claire Ferguson

Department of Statistics, University of Glasgow, Glasgow, G12 8QQ UK duncan{at}stats.gla.ac.uk

Richard Mitchell

Public Health and Health Policy, University of Glasgow, Glasgow, G12 8QQ UK

* To whom correspondence should be addressed.

This paper presents an epidemiological study investigating the effects of long-term air pollution exposure on public health in Scotland, focusing on the 4 major urban areas, Aberdeen, Dundee, Edinburgh, and Glasgow. In particular, the associations between respiratory hospital admissions in 2005 and exposure to both PM10 and NO2 between 2002 and 2004 are estimated using a small-area ecological design. The implementation of such studies requires careful consideration of a number of statistical issues, including how to model spatial correlation, identifiability of the model parameters, and the possible effects of ecological bias. The results show that long-term exposures (over 3 years) to PM10 and NO2 are significantly associated with respiratory hospital admissions in Edinburgh and Glasgow, whereas the risks for Aberdeen and Dundee are generally positive but nonsignificant.

Keywords: Air pollution and health; Bayesian spatial modeling; Ecological bias

Received June 20, 2008; revised November 26, 2008; revised January 7, 2009; revised January 23, 2009; accepted for publication March 3, 2009.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.