Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23978
Title: Respiratory medication medication sales and urban air pollution in Brussels (2005 to 2011)
Authors: Casas, Lidia
Simons, Koen
NAWROT, Tim 
Brasseur, Olivier
Declerck, Priscilla
Buyl, Ronald
Coomans, Danny
Nemery, Benoit
Van Nieuwenhuyse, An
Issue Date: 2016
Source: ENVIRONMENT INTERNATIONAL, 94, p. 576-582
Abstract: Background: We investigated the associations between daily sales of respiratory medication and air pollutants in the Brussels-Capital Region between 2005 and 2011. Methods: We used over-dispersed Poisson Generalized Linear Models to regress daily individual reimbursement data of prescribed asthma and COPD medication from the social security database against each subject's residential exposure to outdoor particulate matter (PM10) or NO2 estimated, by interpolation from monitoring stations. We calculated cumulative risk ratios (RR) and their 95% confidence intervals (CI) for interquartile ranges (IQR) of exposure for different windows of past exposure for the entire population and for seven age groups. Results: Median daily concentrations of PM10 and NO2 were 25 mu g/m(3) (IQR = 17.1) and 38 mu g/m(3) (IQR = 20.5), respectively. PM10 was associated with daily medication sales among individuals aged 13 to 64 y. For NO2, significant associations were observed among all age groups except >84 y. The highest RR were observed for NO2, among adolescents, including three weeks lags (RR = 1.187 95%Cl: 1.097-1285). Conclusion: The associations found between temporal changes in exposure to air pollutants and daily sales of respiratory medication in Brussels indicate that urban air pollution contributes to asthma and COPD morbidity in the general population.
Keywords: asthma; COPD; air pollution; medication sales; time-series analyses
Document URI: http://hdl.handle.net/1942/23978
ISSN: 0160-4120
e-ISSN: 1873-6750
DOI: 10.1016/j.envint.2016.06.019
ISI #: 000382339000064
Rights: (C) 2016 Elsevier Ltd. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
f.pdf
  Restricted Access
Published version665.33 kBAdobe PDFView/Open    Request a copy
Show full item record

SCOPUSTM   
Citations

8
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

10
checked on May 22, 2022

Page view(s)

10
checked on May 23, 2022

Download(s)

6
checked on May 23, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.