A factor analytic approach to an effective lung function screening protocol.

Interrelationships among simple indices of pulmonary function derived from flow-volume curves and single-breath nitrogen tests were investigated by performing a factor analysis on data obtained from a generally healthy office working population (n = 388). Smoking was regarded as the major contribution to pulmonary dysfunction. Delta nitrogen was largely independent of all other measures, while flow-volume measures, including flow rates at high and low lung volumes, were highly intercorrelated but largely independent of closing volume and closing capacity. Delta nitrogen was most affected by smoking in both sexes. Scores derived from flow-volume measurements and from closing-volume measurements were significantly different, on the average, between male smokers and male nonsmokers. The methods and results presented prove to be useful in the design of protocols for effective pulmonary testing of large populations.