A comparative study of the peak expiratory flow rate of Indian and Nepalese young adults in a teaching institute.
Peak expiratory flow rate (PEFR) measurement is the easiest and cheapest method to evaluate respiratory functions. So, the study was carried out to evaluate PEFR of healthy Nepalese adults and compare their values with healthy Indian counterparts to know whether Indian prediction equations for PEFR can be used for Nepalese adult population or not. One hundred twenty-three healthy, young, non smoker adult Indian (64: 28 Males, 36 Females) and Nepalese (59: 32 Males, 27 Females) medical students of 18 to 20 years of age participated in the study. The mean PEFR of Indian (male: 490.4 liter/min, female: 386.0 liter/min) and Nepalese (male: 485.9 liter/min, Female: 365.2 liter/min) young adults were found to have no significant differences. As there is no significant difference in the mean PEFR of Indian and Nepalese young adults, prediction equations made for Indian adults can be used to predict PEFR of Nepalese subjects. Therefore, an attempt has been made to formulate a regression equation from the combined Indian and Nepalese subjects. A stepwise, multiple, linear, regression analysis was performed for this purpose. The analysis showed that height is the best predictor for PEFR in the present study. The regression equation based on height for the combined Indian and Nepalese young adults is calculated as: PEFR = 5.687 x Height (cm) - 495.787. However, a stepwise, multiple, linear, regression equation with residual analysis for the best fit model was performed to formulate prediction equation for PEFR and this showed a change of the earlier regression equation to PEFR = 5.930 x Height (cm) - 536.131.
Debray
P
P
Department of Physiology, Manipal College of Medical Sciences, Pokhara, Nepal. debray12@rediffmail.com
Shreevatsa
B M
BM
M G
R B
RB
Sen
T K
TK
Roy
S
S
Saha
C G
CG
D000047:Academies and Institutes; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006801:Humans; D007194:India; D016014:Linear Models; D008297:Male; D009390:Nepal; D010366:Peak Expiratory Flow Rate; D012044:Regression Analysis; D012119:Respiration; D012143:Respiratory Physiological Phenomena; D012137:Respiratory System; D013147:Spirometry