Prediction of Energy Expenditure From Wrist Accelerometry in People With and Without Down Syndrome

in Adapted Physical Activity Quarterly
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  • 1 Mississippi State University
  • | 2 University of Illinois at Urbana-Champaign
  • | 3 State University of New York, Cortland
  • | 4 University of Illinoisat Chicago
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This study examined the relationship between energy expenditure and wrist accelerometer output during walking in persons with and without Down syndrome (DS). Energy expenditure in metabolic equivalent units (METs) and activity-count rate were respectively measured with portable spirometry and a uniaxial wrist accelerometer in 17 persons with DS (age: 24.7 ± 6.9 years; 9 women) and 21 persons without DS (age: 26.3 ± 5.2 years; 12 women) during six over-ground walking trials. Combined groups regression showed that the relationship between METs and activity-count rate differed between groups (p < .001). Separate models for each group included activity-count rate and squared activity-count rate as significant predictors of METs (p ≤ .005). Prediction of METs appeared accurate based on Bland-Altman plots and the lack of between-group difference in mean absolute prediction error (DS: 17.07%; Non-DS: 18.74%). Although persons with DS show altered METs to activity-count rate relationship during walking, prediction of their energy expenditure from wrist accelerometry appears feasible.

Stamatis Agiovlasitis is with the Department of Kinesiology at Mississippi State University in Mississippi State, MS. Robert W. Motl is with the Department of Kinesiology and Community Health at the University of Illinois at Urbana-Champaign. John T. Foley is with the Department of Physical Education at the State University of New York in Cortland. Bo Fernhall is the Dean of the College of Applied Health Sciences at University of Illinois at Chicago.