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Published in: Respiratory Research 1/2010

Open Access 01-12-2010 | Research

Regional differences in prediction models of lung function in Germany

Authors: Eva Schnabel, Chih-Mei Chen, Beate Koch, Stefan Karrasch, Rudolf A Jörres, Torsten Schäfer, Claus Vogelmeier, Ralf Ewert, Christoph Schäper, Henry Völzke, Anne Obst, Stephan B Felix, H-Erich Wichmann, Sven Gläser, Joachim Heinrich, the KORA (Cooperative Research in the Region of Augsburg) study group

Published in: Respiratory Research | Issue 1/2010

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Abstract

Background

Little is known about the influencing potential of specific characteristics on lung function in different populations. The aim of this analysis was to determine whether lung function determinants differ between subpopulations within Germany and whether prediction equations developed for one subpopulation are also adequate for another subpopulation.

Methods

Within three studies (KORA C, SHIP-I, ECRHS-I) in different areas of Germany 4059 adults performed lung function tests. The available data consisted of forced expiratory volume in one second, forced vital capacity and peak expiratory flow rate. For each study multivariate regression models were developed to predict lung function and Bland-Altman plots were established to evaluate the agreement between predicted and measured values.

Results

The final regression equations for FEV1 and FVC showed adjusted r-square values between 0.65 and 0.75, and for PEF they were between 0.46 and 0.61. In all studies gender, age, height and pack-years were significant determinants, each with a similar effect size. Regarding other predictors there were some, although not statistically significant, differences between the studies. Bland-Altman plots indicated that the regression models for each individual study adequately predict medium (i.e. normal) but not extremely high or low lung function values in the whole study population.

Conclusions

Simple models with gender, age and height explain a substantial part of lung function variance whereas further determinants add less than 5% to the total explained r-squared, at least for FEV1 and FVC. Thus, for different adult subpopulations of Germany one simple model for each lung function measures is still sufficient.
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Metadata
Title
Regional differences in prediction models of lung function in Germany
Authors
Eva Schnabel
Chih-Mei Chen
Beate Koch
Stefan Karrasch
Rudolf A Jörres
Torsten Schäfer
Claus Vogelmeier
Ralf Ewert
Christoph Schäper
Henry Völzke
Anne Obst
Stephan B Felix
H-Erich Wichmann
Sven Gläser
Joachim Heinrich
the KORA (Cooperative Research in the Region of Augsburg) study group
Publication date
01-12-2010
Publisher
BioMed Central
Published in
Respiratory Research / Issue 1/2010
Electronic ISSN: 1465-993X
DOI
https://doi.org/10.1186/1465-9921-11-40

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