作者: Scott E. Crouter , James R. Churilla , David R. Bassett
DOI: 10.1007/S00421-006-0307-5
关键词: Energetic cost 、 Regression analysis 、 Human physiology 、 Physical therapy 、 Mathematics 、 Activities of daily living 、 Energy expenditure 、 Accelerometer 、 Physical activity 、 Sitting
摘要: The purpose of this study was to examine the validity published regression equations designed predict energy expenditure (EE) from accelerometers (Actigraph, Actical, and AMP-331) compared indirect calorimetry, over a wide range activities. Forty-eight participants (age: 35 ± 11.4 years) performed various activities that ranged sedentary behaviors (lying, sitting) vigorous exercise. were split into three routines six activities, each participant at least one routine. wore devices simultaneously, EE measured with portable metabolic system. For Actigraph, 15 previously used estimate accelerometer counts. two AMP-331 we manufacturer’s equation EE. Actigraph Actical regressions tended overestimate walking underestimate most other gave close during walking, but overestimated sedentary/light underestimated all only not significantly different actual time spent in both light moderate physical activity Freedson kcal equation. All (P < 0.05). In conclusion, no single works well across for prediction or light, moderate, activity.