Regional differences in prediction models of lung function in Germany

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• 作者：Eva Schnabel (1) (2)
  Chih-Mei Chen (1) (2)
  Beate Koch (3)
  Stefan Karrasch (4) (5)
  Rudolf A J?rres (5)
  Torsten Sch?fer (1)
  Claus Vogelmeier (6)
  Ralf Ewert (3)
  Christoph Sch?per (3)
  Henry V?lzke (3) (7)
  Anne Obst (3)
  Stephan B Felix (3)
  H-Erich Wichmann (1) (8)
  Sven Gl?ser (3)
  Joachim Heinrich (1)
  
• 刊名：Respiratory Research
• 出版年：2010
• 出版时间：December 2010
• 年：2010
• 卷：11
• 期：1
• 全文大小：1223KB
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• 作者单位：Eva Schnabel (1) (2)
  Chih-Mei Chen (1) (2)
  Beate Koch (3)
  Stefan Karrasch (4) (5)
  Rudolf A J?rres (5)
  Torsten Sch?fer (1)
  Claus Vogelmeier (6)
  Ralf Ewert (3)
  Christoph Sch?per (3)
  Henry V?lzke (3) (7)
  Anne Obst (3)
  Stephan B Felix (3)
  H-Erich Wichmann (1) (8)
  Sven Gl?ser (3)
  Joachim Heinrich (1)
  
  1. Helmholtz Zentrum München, Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
  2. Ludwig-Maximilians-University Munich, Dr. von Hauner Children's Hospital, Munich, Germany
  3. University Hospital of the Ernst-Moritz-Arndt University Greifswald, Internal Medicine B, Greifswald, Germany
  4. Helmholtz Zentrum München, Center for Environmental Health, Comprehensive Pneumology Center, Institute of Lung Biology and Diseases, Neuherberg, Germany
  5. Ludwig-Maximilians-University Munich, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Munich, Germany
  6. Division of Pulmonary Diseases, University Hospital of Giessen and Marburg, Marburg, Germany
  7. Ernst-Moritz-Arndt University Greifswald, Insitute for Community Medicine, Greifswald, Germany
  8. Ludwig-Maximilians-University, Institute of Medical Data Management, Biometrics and Epidemiology, Munich, Germany
  

文摘

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.