Rao N M, Mavlankar M G, Kulkarni P K, Kashyap S K
Department of Respiratory Physiology, National Institute of Occupational Health (I.C.M.R.), Meghaninagar, Ahmedabad.
Indian J Physiol Pharmacol. 1992 Jan;36(1):55-9.
In this study a multiple regression equation for prediction of ventilatory pulmonary function tests (FVC, FEV1%, FEF25-75% and PEFR) is developed in average healthy non-smoker male and female Gujarati subjects. The average adult female values showed a reduction varying from 21.0 to 29.0% compared to adult male subjects. There is a deviation of the present study values from other studies in Indian subjects and values from European studies are higher than the present values. This study demonstrated that the present regression equation is the most ideal and appropriate for prediction of pulmonary function values in Gujarati subjects either for assessing physical fitness in normal subjects or for determining the pattern of ventilatory impairment in respiratory disease patients. The pulmonary function values assessed by substituting the average age, height and weight of females in male regression equation revealed lower values in females ranging from 14.0 to 19.0% attributable only due to difference in sex.
在本研究中,针对古吉拉特邦健康非吸烟成年男女受试者,开发了一个用于预测通气肺功能测试(用力肺活量(FVC)、第1秒用力呼气容积百分比(FEV1%)、25%-75%用力呼气流量(FEF25-75%)和峰值呼气流速(PEFR))的多元回归方程。与成年男性受试者相比,成年女性的平均值降低了21.0%至29.0%。本研究的数值与印度其他研究的数值存在偏差,且欧洲研究的数值高于本研究的数值。本研究表明,对于评估正常受试者的身体素质或确定呼吸系统疾病患者的通气功能损害模式,当前的回归方程是预测古吉拉特邦受试者肺功能值的最理想且合适的方程。通过将女性的平均年龄、身高和体重代入男性回归方程来评估肺功能值,结果显示女性的值较低,仅因性别差异就低了14.0%至19.0%。