title: The prediction of basal metabolic rate in young adult, severely obese patients using single-frequency bioimpedance analysis.
abstract: To evaluate whether bioimpedance analysis (BIA) is a useful tool for predicting basal metabolic rate (BMR), sex, age, height, weight, BMI, and single-frequency BIA variables (resistance index and phase angle) were assessed in 61 young adult non-diabetic obese patients (BMI >35 kg/m(2)). BMR was measured by indirect calorimetry. In both sexes BMR significantly correlated with weight, BMI, and resistance index. Using multiple regression analysis, the following prediction equations were derived: (1). considering individual characteristics: BMR (kcal/day)=780+11.4xweight (+221 for men); (2). including also BIA variables: BMR=- 96+8.4xresistance index+8.3xweight+82.5xphase angle. Thus, in young adult, severely obese individuals, BIA variables are significant predictors of BMR.
authors: Department of Clinical and Experimental Medicine Medical School, Federico II University, Via Sergio Pansini 5, I-80131, Naples, Italy. marra@unina.it
authors: M
authors: M
authors: Marra
authors: F
authors: F
authors: Pasanisi
authors: L
authors: L
authors: Scalfi
authors: P
authors: P
authors: Colicchio
authors: M
authors: M
authors: Chelucci
authors: F
authors: F
authors: Contaldo
mesh_terms: D000328:Adult; D001481:Basal Metabolism / Q000502:physiology*; D015992:Body Mass Index; D001835:Body Weight; D002153:Calorimetry, Indirect / Q000379:methods; D017097:Electric Impedance; D005260:Female; D006801:Humans; D008297:Male; D009765:Obesity / Q000503:physiopathology*; D009767:Obesity, Morbid / Q000503:physiopathology*; D011237:Predictive Value of Tests; D012044:Regression Analysis