Estimating Activity-related Energy Expenditure Under Sedentary Conditions Using a Tri-axial Seismic Accelerometer

• Published in: Obesity (Silver Spring, Md.) Vol. 17; no. 6; pp. 1287 - 1292
• Main Authors: Hees, Vincent T. van, Lummel, Rob C. van, Westerterp, Klaas R
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.06.2009
• Subjects: Acceleration; Accelerometers; Activities of Daily Living; Adult; Algorithms; Basal Metabolism; Calorimetry, Indirect; Energy; energy expenditure; Energy Metabolism; Equipment Design; Exercise; Female; Humans; Metabolism; Models, Biological; Monitoring, Ambulatory - instrumentation; Obesity; physical activity; Physical Exertion; Physical fitness; Predictive Value of Tests; Reference Values; Reproducibility of Results; Respiration; respiratory physiology; Sensors; sleeping metabolic rate; Validity; women; Young Adult; Netherlands; Hague Netherlands
• ISSN: 1930-7381; 1930-739X
• DOI: 10.1038/oby.2009.55

Activity‐related energy expenditure (AEE) is difficult to quantify, especially under sedentary conditions. Here, a model was developed using the detected type of physical activity (PA) and movement intensity (MI), based on a tri‐axial seismic accelerometer (DynaPort MiniMod; McRoberts B.V., The Hague, the Netherlands), with energy expenditure for PA as a reference. The relation between AEE (J/min/kg), MI, and the type of PA was determined for standardized PAs as performed in a laboratory including: lying, sitting, standing, and walking. AEE (J/min/kg) was calculated from total energy expenditure (TEE) and sleeping metabolic rate (SMR) as assessed with indirect calorimetry ((TEE × 0.9) ‐ SMR). Subsequently, the model was validated over 23‐h intervals in a respiration chamber. Subjects were 15 healthy women (age: 22 ± 2 years; BMI: 24.0 ± 4.0 kg/m2). Predicted AEE in the chamber was significantly related to measured AEE both within (r2 = 0.81 ± 0.06, P < 0.00001) and between (r2 = 0.70, P < 0.001) subjects. The explained variation in AEE by the model was higher than the explained variation by MI alone. This shows that a tri‐axial seismic accelerometer is a valid tool for estimating AEE under sedentary conditions.