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- W1964257979 abstract "Numerous accelerometers and prediction methods are used to estimate energy expenditure (EE). Validation studies have been limited to small sample sizes in which participants complete a narrow range of activities. PURPOSE: To evaluate the ability of one proprietary and ten published prediction equations to estimate EE from three commercially available activity monitors (AM). METHODS: 252 participants completed an average of 6 treadmill (TRD) (1.34, 1.56, 2.23 m.sec-1 each at 0% and 3% grade) and 5 self-paced activities of daily living (ADLs). ADLs were randomly selected from a menu of 17 activities. AMs were worn while EE was measured using a portable metabolic unit. RESULTS: An average of 2438 samples were used to assess the validity of eleven prediction equations, including the Freedson MET (F), Swartz MET (S), two Crouter MET equations (C1) and (C2), Heil 1R (H1) and 2R (HH1) MET, Heil 1R (H2) and 2R (HH2) kcal, Freedson kcal (F2), Chen kcal (CH) and one proprietary kcal (P). When TRD and ADL activities were evaluated together, each equation, except F2, significantly underestimated EE. When evaluated separately, each equation significantly underestimated ADLs, while TRD activities were significantly underestimated by 8 equations, significantly overestimated by 2 equations and accurately predicted by S and H2. Percent bias and precision were determined for all activities combined, ADLs, and TRDs.Table: No caption providedOn average, ADLs were underestimated by 31.8% and TRDs were underestimated by 6.9%. CONCLUSION: The AM prediction equations did not yield accurate point estimates of METs or EE across a broad range of activities. Future research should focus on developing more precise methods to estimate EE from AMs. Supported by NIH CA121005" @default.
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- W1964257979 date "2009-05-01" @default.
- W1964257979 modified "2023-09-26" @default.
- W1964257979 title "A Comprehensive Evaluation Of Accelerometer Energy Expenditure And Met Prediction Equations" @default.
- W1964257979 doi "https://doi.org/10.1249/01.mss.0000355033.75817.38" @default.
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