ABSTRACT
Healthy non smoking male subjects (n = 150) aged 18-40 years were subjected to pulmonary function testing to establish linear multiple regression model. Pulmonary parameters were considered as independent variables and physical parameters (age, height, weight, body mass index (BMI) and body surface area (BSA) and anthropometric parameters (skin fold thickness (SFT), mid arm circumference and abdominal girth) were taken as dependent variables. This study was undertaken to determine correlation coefficients between dependent variables and different pulmonary independent variables and to derive regression equations or prediction formulae in order to find out the expected normal values for the different lung function tests in a given individual. Present study revealed that the upper body fat distribution, as reflected by biceps skin fold thickness and mid arm circumference, is a significant predicator of ventilatory function.