Validation of the ActiGraph Two-Regression Model for Predicting Energy Expenditure | Zendy

Megan Rothney | Zendy; Robert J. Brychta | Zendy; Natalie N. Meade | Zendy; Kong Y. Chen | Zendy; Maciej S. Buchowski | Zendy

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Validation of the ActiGraph Two-Regression Model for Predicting Energy Expenditure

Author(s) -

Megan Rothney,

Robert J. Brychta,

Natalie N. Meade,

Kong Y. Chen,

Maciej S. Buchowski

Publication year - 2010

Publication title -

medicine and science in sports and exercise

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.703

H-Index - 224

eISSN - 1530-0315

pISSN - 0195-9131

DOI - 10.1249/mss.0b013e3181d5a984

Subject(s) - doubly labeled water , energy expenditure , zoology , physical activity , linear regression , calorimeter (particle physics) , regression analysis , mathematics , medicine , statistics , physical therapy , endocrinology , biology , physics , detector , optics

The purpose of this study was to validate a two-regression model for predicting energy expenditure (EE) from ActiGraph GT1M accelerometer-generated activity counts using a whole-room indirect calorimeter and the doubly labeled water (DLW) technique. We also investigated if a low-pass filter (LPF) approach would improve the model's accuracy in the minute-to-minute EE prediction.

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