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    Development of an accelerometer-based multivariate model to predict free-living energy expenditure in a large military cohort.

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    Authors
    Horner, Fleur
    Bilzon, James L
    Rayson, Mark
    Blacker, Sam
    Richmond, Victoria
    Carter, James
    Wright, Anthony
    Nevill, Alan M. cc
    Issue Date
    2013
    
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    Abstract
    This study developed a multivariate model to predict free-living energy expenditure (EE) in independent military cohorts. Two hundred and eighty-eight individuals (20.6 ± 3.9 years, 67.9 ± 12.0 kg, 1.71 ± 0.10 m) from 10 cohorts wore accelerometers during observation periods of 7 or 10 days. Accelerometer counts (PAC) were recorded at 1-minute epochs. Total energy expenditure (TEE) and physical activity energy expenditure (PAEE) were derived using the doubly labelled water technique. Data were reduced to n = 155 based on wear-time. Associations between PAC and EE were assessed using allometric modelling. Models were derived using multiple log-linear regression analysis and gender differences assessed using analysis of covariance. In all models PAC, height and body mass were related to TEE (P < 0.01). For models predicting TEE (r (2) = 0.65, SE = 462 kcal · d(-1) (13.0%)), PAC explained 4% of the variance. For models predicting PAEE (r (2) = 0.41, SE = 490 kcal · d(-1) (32.0%)), PAC accounted for 6% of the variance. Accelerometry increases the accuracy of EE estimation in military populations. However, the unique nature of military life means accurate prediction of individual free-living EE is highly dependent on anthropometric measurements.
    Citation
    Development of an accelerometer-based multivariate model to predict free-living energy expenditure in a large military cohort. 2013, 31 (4):354-60 J Sports Sci
    Journal
    Journal of sports sciences
    URI
    http://hdl.handle.net/2436/298059
    DOI
    10.1080/02640414.2012.734632
    PubMed ID
    23121502
    Type
    Journal article
    Language
    en
    ISSN
    1466-447X
    ae974a485f413a2113503eed53cd6c53
    10.1080/02640414.2012.734632
    Scopus Count
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    Faculty of Education, Health and Wellbeing

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