title: Predicting energy expenditure in elders with the metabolic cost of activities.
abstract: BACKGROUND
  Measuring free-living energy expenditure in aging human is a considerable challenge. The objective of this study was to predict total energy expenditure (TEE) in elders by combining the metabolic cost of activities and accelerometer outputs.
  
  
  METHODS
  Seventeen elders (7 women, 10 men) aged 60 to 78 yr were recruited. Body composition was measured by dual x-ray absorptiometry. Doubly labeled water was used as the criterion standard to measure TEE on a 7-d time frame. During the same period, participants wore a uniaxial accelerometer (Caltrac) to estimate TEE. Resting metabolic rate and metabolic costs of sitting, standing, and walking (1, 3, and 5 km·h(-1)) were measured by indirect calorimetry.
  
  
  RESULTS
  There was no correlation between Caltrac's outputs and doubly labeled water measurement of TEE. The best predictors of TEE were fat-free mass, the metabolic cost of standing, and the metabolic cost of walking at 3 km·h(-1) (r = 0.78, P < 0.01).
  
  
  CONCLUSIONS
  Our results suggest that TEE may be estimated with good accuracy using fat-free mass, the cost of standing still, and the cost of walking at 3 km·h(-1). These predictors are easy to measure in older adults. Further work is needed to confirm our findings and develop prediction equation with these parameters.
authors.affiliation: Faculty of Physical Education and Sports, University of Sherbrooke, Sherbrooke, Quebec, Canada.
authors.forename: Stéphane
authors.initials: S
authors.lastname: Choquette
authors.forename: Aurélie
authors.initials: A
authors.lastname: Chuin
authors.forename: David-Alexandre
authors.initials: DA
authors.lastname: Lalancette
authors.forename: Martin
authors.initials: M
authors.lastname: Brochu
authors.forename: Isabelle J
authors.initials: IJ
authors.lastname: Dionne
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D001823:Body Composition; D002153:Calorimetry, Indirect; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D016138:Walking