Tuberc Respir Dis.  1994 Oct;41(5):521-530.

Prediction Formulas of Pulmonary Function Parameters Derived from the Forced Expiratory Spirogram for Healthy Nonsmoking and Smoking Adults and Effect of Smoking on Pulmonary Function Parameters

Abstract

BACKGROUND
The past. studies on prediction formulas of pulmonary function parameters in healthy nonsmoking Korean adults have been performed in relatively small number of subjects and the reported results were restricted on a few parameters. Also there was no systematic investigation into the effect of smoking on pulmonary function parameters in smokers who have no respiratory symptoms. Therefore we attempted to establish prediction formulas of pulmonary function parameters and examined the effect of smoking on pulmonary function parameters.
METHODS
We analyzed the result of parameters derived from the forced expiratory spirogram in 1,067 nonsmoking subjects from June in 1990 to December in 1991. They consisted of 306 males and 761 females and had neither respiratory symptoms nor history of respiratory disease. We derived prediction formulas by multiple linear regression method from their age, heights, and weights in each sex. To examine the effect of smoking on pulmonary function parameters, we classified 383 smoking men into three groups according to the past amount of smoking as follows : i.e. group of smokers who have smoked below 10 pack-years, 10-20 pack-years and above 20 pack-years. Regarding each group of past smoking as an independent dummy variable, we analyzed pulmonary function parameters including nonsmoking men as a baseline by multiple linear regression. We evaluated the smoking effect on pulmonary function parameters according to estimated p-value. RESULT: 1) Prediction formulas for pulmonary function parameters in each sex were derived. 2) The past smoking less than 10 pack-years does not give any effect on pulmonary function parameters. The past smoking of 10~20 pack-years showed significant negative correlation with FEV1/FVC and FEF 25~75%, and the smoking above 20 pack years showed negative correlation with FEV1 and FEV1/FVC.
CONCLUSION
We have got prediction formulas of pulmonary function parameters which is driven from forced expiratory spirogram in nonsmoking Korean adults by multiple linear regression from age, heights and weights of subjects. The past smoking more than 10 pack-years showed negative correlation with some pulmonary function parameters of airflow obstruction.

Keyword

Pulmonary function parameters; Smoking effect

MeSH Terms

Adult*
Female
Humans
Linear Models
Male
Smoke*
Smoking*
Weights and Measures
Smoke
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