Evaluation of Basal Metabolic Rate Among University Students
Project no. 918 · Status: Kapanmış · 2017
Summary
ABSTRACT Total energy expenditure is comprised of multiple components including physical activity (PA), basal metabolic rate (BMR) and the thermic effect of food (TEF). The largest component of total energy expenditure is basal metabolic rate (BMR). BMR can be measured by gas analysis through either direct or indirect calorimetry. However, in practice predictive equations are used in the calculation of BMR. The purpose of this study is comparing BMR which is measured by using indirect calorimetry and BMR which is calculated from various predictive equations. The study was conducted on 2nd grade female students of Ege University Nutrition and Dietetic Department (n=48). The questionnaire includes just socio-demographic characteristics. All measurements (anthropometric measurements, bioelectrical impedance analysis and indirect calorimetry) was taken by researchers. The predictive equations in this study are Harris Benedict, Schofield, FAO, Owen, Mifflin St Jeor, De Lorenzo, Henry, Lazzer, Liu, Luhrman, Bernstein. Statistical analysis was performed with SPSS 15.0 package program. There is a moderate positive correlation between BMR and body mass index (BMI), body fat mass, body muscle mass, waist circumference, neck circumference. Among the predictive equations, Mifflin-St Jeor has a highest Pearson correlation coefficient value (r=0,435) and has a moderate positive correlation with BMR which is measured by using Canopy. We concluded that more comprehensive studies are needed to develop new predictive equations with higher accuracy. Key Words: Canopy, Basal Metabolic Rate, Anthropometric Measurement