Keerthi Kumaran1, Avyact Agrawal2. 1. Department of Pediatrics, Netaji Subash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, 482003, India. kunchu.k@gmail.com. 2. Department of Pediatrics, Netaji Subash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, 482003, India.
Abstract
OBJECTIVES: To measure the Peak expiratory flow rate (PEFR) of healthy school children and to find out the correlation between PEFR values and anthropometric parameters, to create a nomogram of PEFR for children and formulate a regression formula for PEFR. METHODS: A cross-sectional study was conducted on healthy school children between the age group of 10 and 16 y, at three higher secondary schools selected in urban area of Jabalpur, Madhya Pradesh. After collecting baseline data, PEFR was measured using mini Wright peak flow meter. The highest of three measurements were recorded for analysis. RESULTS: Of the 2607 students screened, 2156 were included in the study. Out of which 757 were boys and 1399 were girls. Significant linear correlation was seen in PEFR with height, weight and BMI (r = 0.847, r = 0.750 & r = 0.466 respectively, p < 0.001). Nomograms were plotted based on the observed values of PEFR in the study population. Prediction equations were derived for PEFR with height and weight in boys and girls. Prediction equations for PEFR are -464 + 1.408 × Weight (kg) + 439.192 × Height (m) in boys and -486.544 + 1.064 × Weight (kg) + 462.282 × Height (m) in girls. CONCLUSIONS: Significant correlation was noted between PEFR and anthropometric parameters like height, weight and BMI. Hence, nomogram and formula created can be used in the study area.
OBJECTIVES: To measure the Peak expiratory flow rate (PEFR) of healthy school children and to find out the correlation between PEFR values and anthropometric parameters, to create a nomogram of PEFR for children and formulate a regression formula for PEFR. METHODS: A cross-sectional study was conducted on healthy school children between the age group of 10 and 16 y, at three higher secondary schools selected in urban area of Jabalpur, Madhya Pradesh. After collecting baseline data, PEFR was measured using mini Wright peak flow meter. The highest of three measurements were recorded for analysis. RESULTS: Of the 2607 students screened, 2156 were included in the study. Out of which 757 were boys and 1399 were girls. Significant linear correlation was seen in PEFR with height, weight and BMI (r = 0.847, r = 0.750 & r = 0.466 respectively, p < 0.001). Nomograms were plotted based on the observed values of PEFR in the study population. Prediction equations were derived for PEFR with height and weight in boys and girls. Prediction equations for PEFR are -464 + 1.408 × Weight (kg) + 439.192 × Height (m) in boys and -486.544 + 1.064 × Weight (kg) + 462.282 × Height (m) in girls. CONCLUSIONS: Significant correlation was noted between PEFR and anthropometric parameters like height, weight and BMI. Hence, nomogram and formula created can be used in the study area.