Volume 1, Issue 4 pp. 349-364
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Reference values for respiratory function tests in males: prediction formulas with tobacco smoking parameters

Hrafn V. Fridriksson

Corresponding Author

Hrafn V. Fridriksson

Department of Clinical Physiology, University Hospital, S-750 14 Uppsala

Department of Lung Medicine, University Hospital, S-750 14 Uppsala

Institute of Hygiene, Uppsala University, S-751 23 Uppsala, Sweden

National Institute of Environmental Health, Heilbrig-diseftirlit Rikisins, Post Box 505, Reykjavik, Iceland.Search for more papers by this author
Per Malmberg

Per Malmberg

Department of Clinical Physiology, University Hospital, S-750 14 Uppsala

Department of Lung Medicine, University Hospital, S-750 14 Uppsala

Institute of Hygiene, Uppsala University, S-751 23 Uppsala, Sweden

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Hans Hedenström

Hans Hedenström

Department of Clinical Physiology, University Hospital, S-750 14 Uppsala

Department of Lung Medicine, University Hospital, S-750 14 Uppsala

Institute of Hygiene, Uppsala University, S-751 23 Uppsala, Sweden

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Gunnar Hillerdal

Gunnar Hillerdal

Department of Clinical Physiology, University Hospital, S-750 14 Uppsala

Department of Lung Medicine, University Hospital, S-750 14 Uppsala

Institute of Hygiene, Uppsala University, S-751 23 Uppsala, Sweden

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First published: August 1981
Citations: 21

Abstract

Summary. Prediction equations for respiratory function tests were obtained by multiple regression of data from 263 healthy males. The material was evenly distributed in the ages 20–70 years, about one third each of non-smokers, smokers and ex-smokers. Measurements were done of lung volumes (with body plethysmograph), airways resistance, ventilatory capacity including flow-volume registration, gas distribution and closing volume, transfer factor and static elastic recoil pressures of the lung with calculation of static compliance. The parameters age, height, weight, years of tobacco smoking and grams of tobacco smoked each day showed significant correlation with the outcome of the test in most of the respiratory function tests. Therefore a set of basic regression equations including these parameters were calculated. In addition an ‘extended’ set of equations was calculated for prediction of some tests with inclusion of nonlinear terms and the parameter ‘years of abstinence from smoking.’ The reduction in variance which followed inclusion of tested parameters was moderate (20–69%). There were significant differences between results of the present study and several previously published regression formulas.

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