The prediction of basal metabolic rate in young adult, severely obese patients using single-frequency bioimpedance analysis

M. Marra, F. Pasanisi, L. Scalfi, P. Colicchio, M. Chelucci, F. Contaldo

Research output: Contribution to journalArticle

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/m2). 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+11.4×weight (+221 for men); (2) including also BIA variables: BMR=96+8.4×resistance index+8.3×weight+82.5xphase angle. Thus, in young adult, severely obese individuals, BIA variables are significant predictors of BMR.

Original languageEnglish
JournalActa Diabetologica
Volume40
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Oct 2003

Keywords

  • BIA
  • BMR
  • Body composition
  • Obesity

ASJC Scopus subject areas

  • Endocrinology
  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

Fingerprint Dive into the research topics of 'The prediction of basal metabolic rate in young adult, severely obese patients using single-frequency bioimpedance analysis'. Together they form a unique fingerprint.

  • Cite this