OBJECTIVE: To establish a model for predicting peak expiratory flow rate (PEFR) in North Indian healthy population. Study subjects. Eight hundred and ninety-seven healthy, non-smoker individuals (681 males and 216 females) in the age group of 10-60 years. METHODS: The study was carried out at a health exhibition organised by the Government of Uttar Pradesh, at King George's Medical University, Lucknow. Only healthy, non-smoker individuals were enrolled for the study. Age was noted in completed years and weight in kg and height in cm were taken without shoes. PEFR was measured by Mini Wrights peak flow meter in standing position after prior instructions and demonstration of technique to each individual. The test was performed three times on each subject and best of the three attempts was selected for data computation. The statistical solftware SPSS was used to fit the model and perform residual analysis. RESULTS: The highest reading for males was recorded in the age group of 20 to 24 years and for females in the age group of 25 to 29 years. Using age, height and weight, we established a regression model for predicting PEFR values for males and females separately in the age group 19-60 years. In the age group 10-18 years, the model for predicting PEFR was same for both the sexes. PEFR values were found to be more in males as compared to females. The predictive power of the model as described by explained variation was found to be 80 and 82 percent for males and females, respectively. CONCLUSIONS: Prediction model for north Indian subjects was drafted for age range 10-60 years. While separate models were required for males and females because of sex related differences in the age group 19-60 years, a common model sufficed for age group 10-18 years.
OBJECTIVE: To establish a model for predicting peak expiratory flow rate (PEFR) in North Indian healthy population. Study subjects. Eight hundred and ninety-seven healthy, non-smoker individuals (681 males and 216 females) in the age group of 10-60 years. METHODS: The study was carried out at a health exhibition organised by the Government of Uttar Pradesh, at King George's Medical University, Lucknow. Only healthy, non-smoker individuals were enrolled for the study. Age was noted in completed years and weight in kg and height in cm were taken without shoes. PEFR was measured by Mini Wrights peak flow meter in standing position after prior instructions and demonstration of technique to each individual. The test was performed three times on each subject and best of the three attempts was selected for data computation. The statistical solftware SPSS was used to fit the model and perform residual analysis. RESULTS: The highest reading for males was recorded in the age group of 20 to 24 years and for females in the age group of 25 to 29 years. Using age, height and weight, we established a regression model for predicting PEFR values for males and females separately in the age group 19-60 years. In the age group 10-18 years, the model for predicting PEFR was same for both the sexes. PEFR values were found to be more in males as compared to females. The predictive power of the model as described by explained variation was found to be 80 and 82 percent for males and females, respectively. CONCLUSIONS: Prediction model for north Indian subjects was drafted for age range 10-60 years. While separate models were required for males and females because of sex related differences in the age group 19-60 years, a common model sufficed for age group 10-18 years.
Authors: Sooky Lum; Vassiliki Bountziouka; Philip Quanjer; Samatha Sonnappa; Angela Wade; Caroline Beardsmore; Sunil K Chhabra; Rajesh K Chudasama; Derek G Cook; Seeromanie Harding; Claudia E Kuehni; K V V Prasad; Peter H Whincup; Simon Lee; Janet Stocks Journal: PLoS One Date: 2016-04-27 Impact factor: 3.240