An investigation of a novel three-dimensional activity monitor to predict free-living energy expenditure.
Authors
Carter, JamesWilkinson, David
Blacker, Sam
Rayson, Mark
Bilzon, James
Izard, Rachel
Coward, Andy
Wright, Antony
Nevill, Alan M.
Rennie, Kirsten
McCaffrey, Tracey
Livingstone, Barbara
Issue Date
2008
Metadata
Show full item recordAbstract
The aim of this study was to assess the capability of the 3dNXTM accelerometer to predict energy expenditure in two separate, free-living cohorts. Twenty-three adolescents and 14 young adults took a single dose of doubly labelled water and wore a 3dNXTM activity monitor during waking hours for a 10-day period while carrying out their normal routines. Multiple linear regression with backward elimination was used to establish the strength of the associations between various indices of energy expenditure, physical activity counts, and anthropometric variables. 3dNXTM output accounted for 27% and 35% of the variance in the total energy expenditure of the adolescent and young adult cohort, respectively. The explained variance increased to 78%, with a standard error of estimate of 7%, when 3dNXTM output was combined with body composition variables. The 3dNXTM accelerometer can be used to predict free-living daily energy expenditure with a standard error of estimate of 1.65 MJ in adolescents and 1.52 MJ in young adults. The inclusion of anthropometric variables reduces the error to approximately 1 MJ. Although it remains to cross-validate these models in other populations, early indications suggest that the 3dNXTM provides a useful method of predicting energy expenditure in free-living individuals.Citation
Journal of Sports Sciences, 26(6): 553-561Publisher
Routledge (Taylor & Francis)Journal
Journal of Sports SciencesType
Journal articleLanguage
enISSN
026404141466447X
ae974a485f413a2113503eed53cd6c53
10.1080/02640410701708979