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Model for estimating the population prevalence of chronic obstructive pulmonary disease: cross sectional data from the Health Survey for England by Luis C Nacul; Michael Soljak; Tom Meade is a Medicine article available to read on EtoBox.

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## Background Chronic obstructive pulmonary disease (COPD) is a major but neglected public health problem. Currently 1.4% of the England population has a clinical diagnosis of COPD, but the true burden of the disease has not been known with certainty, as many cases remain undiagnosed. ## Methods A mathematical model based on cross sectional data from a representative sample of the population in England (the Heath Survey for England 2001, n = 10,750) was developed allowing estimates on the prevalence of COPD (defined based on the presence of airflow obstruction) to be obtained. Logistic regression analysis was used to investigate and choose risk factors for inclusion in the model and to derive the prevalence estimates based on the strength of association between selected risk factors and the outcome COPD. The model allows the prevalence to be estimated in populations at national level and also at regional and large local areas, based on their compositions according to age, sex, smoking and ethnicity, and on area degrees of urbanisation and deprivation. We applied the model to measure the prevalence of COPD in England and in some sub-groups of the population within the country. ## Re

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Author

Luis C Nacul; Michael Soljak; Tom Meade

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, [2003]-; Springer Science and Business Media LLC (ISSN 1478-7954)

Published

2007

Language

EN

Field

Medicine (Health Sciences)