title: Estimating resting energy expenditure with a portable armband device in an ambulatory setting.
abstract: BACKGROUND
  The measurement of resting energy expenditure (REE) in an ambulatory setting raises methodological problems. Therefore, the use of predictive equations for the estimation of REE is common. Alternatively, the measurement of sleeping energy expenditure (SEE) has been proposed. The authors retrospectively analyzed data on SEE assessed with a portable armband (PA) device in an ambulatory setting and evaluated this approach against predictive equations and REE measured by indirect calorimetry (IC).
  
  
  METHODS
  REE was measured with IC, and SEE was assessed with the PA using standardized conditions in 81 participants (aged 46 ± 13 years) over a wide range of body weight (mean body mass index [BMI] 36.4 ± 9.3 kg/m(2); range, 21.6-55.7).
  
  
  RESULTS
  SEE (1756 ± 393 kcal/d) was 7.6% higher than REE (1632 ± 346 kcal/d) (P < .001). This difference (123 ± 214 kcal/d) was smaller than that using the predictive equation for REE by Harris and Benedict (207 ± 217 kcal/d) and the BMI group-specific equations according to Müller et al (209 ± 190 kcal/d). Linear regression analysis was significant (r (2) = 0.705; P < .001). SEE showed similar 95% confidence intervals compared with both of the predictive equations.
  
  
  CONCLUSIONS
  The described standardized assessment of SEE by a PA device appears to be a promising approach to estimate REE in an ambulatory setting. SEE reflects REE at least as precisely as the predictive equations.
authors.affiliation: Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. ulf.elbelt@charite.de
authors.forename: Ulf
authors.initials: U
authors.lastname: Elbelt
authors.forename: Tatjana
authors.initials: T
authors.lastname: Schuetz
authors.forename: Herbert
authors.initials: H
authors.lastname: Lochs
mesh_terms: D000328:Adult; D001481:Basal Metabolism; D001823:Body Composition; D015992:Body Mass Index; D001835:Body Weight; D002153:Calorimetry, Indirect; D002149:Energy Intake; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009765:Obesity; D012189:Retrospective Studies