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Eur Respir J 2006; 27:85-94
Copyright ©ERS Journals Ltd 2006

Area-level socio-economic status and health status among adults with asthma and rhinitis

P. D. Blanc1,2, I. H. Yen1, H. Chen1,2, P. P. Katz1,3, G. Earnest1, J. R. Balmes1,4, L. Trupin1, N. Friedling1, E. H. Yelin1,3 and M. D. Eisner1

1 Dept of Medicine, 2 Cardiovascular Research Institute, and 3 Institute for Health Policy Studies, University of California San Francisco, San Francisco, and 4 Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, CA, USA.

CORRESPONDENCE: P. D. Blanc, 350 Parnassus Avenue Suite 609, San Francisco, CA 94117, USA. Fax: 1 4154766426. E-mail: blancp{at}itsa.ucsf.edu

Keywords: Adults, asthma epidemiology, asthma quality of life, asthma with chronic sinusitis, economic aspects of asthma

Received: May 26, 2005
Accepted September 5, 2005

Socio-economic status (SES) may affect health status in airway disease at the individual and area level.

In a cohort of adults with asthma, rhinitis or both conditions, questionnaire-derived individual-level SES and principal components analysis (PCA) of census data for area-level SES factors were used. Regression analysis was utilised to study the associations among individual- and area-level SES for the following four health status measures: severity of asthma scores and the Short Form-12 Physical Component Scale (SF-12 PCS) (n = 404); asthma-specific quality of life (QoL) scores (n = 340); and forced expiratory volume in one second (FEV1) per cent predicted (n = 218).

PCA yielded a two-factor solution for area-level SES. Factor 1 (lower area-level SES) was significantly associated with poorer SF-12 PCS and worse asthma QoL. These associations remained significant after adding individual-level SES. Factor 1 was also significantly associated with severity of asthma scores, but not after addition of the individual-level SES. Factor 2 (suburban area-level SES) was associated with lower FEV1 per cent predicted in combined area-level and individual SES models.

In conclusion, area-level socio-economic status is linked to some, but not all, of the studied health status measures after taking into account individual-level socio-economic status.




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