Literature DB >> 15601983

Ability of the actiwatch accelerometer to predict free-living energy expenditure in young children.

Mardya Lopez-Alarcon1, Jaime Merrifield, David A Fields, Tena Hilario-Hailey, Frank A Franklin, Richard M Shewchuk, Robert A Oster, Barbara A Gower.   

Abstract

OBJECTIVE: To determine whether activity counts obtained with the Actiwatch monitor are associated with total expenditure and body composition in young children. RESEARCH METHODS AND PROCEDURES: Actiwatch activity monitors were tested in 29 children 4 to 6 years old under field conditions over eight days. Total energy expenditure (TEE) was assessed with the doubly labeled water (DLW) technique. Correlation analyses were used to identify variables related to energy expenditure and percentage body fat. Multiple linear regression analyses were used to examine the variance in TEE and percentage body fat explained by activity counts after adjusting for relevant covariates.
RESULTS: Both average total daily activity counts (658,816 +/- 201,657) and the pattern of activity were highly variable among subjects. TEE was significantly related to lean body mass (r = 0.45) and age (r = 0.48; p < 0.05 for both). Activity counts alone were not associated with TEE. In multiple linear regression analyses, TEE was independently associated with only lean body mass. Percentage fat mass was independently associated with body weight, being a girl, and being white, but not with average total activity counts. DISCUSSION: Activity counts obtained with the Actiwatch under free-living conditions do not reflect TEE in 4- to 6-year-old children and are not correlated with percentage fat mass. Therefore, average total activity counts obtained with the Actiwatch may be of limited value in identifying children at risk for becoming obese.

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Year:  2004        PMID: 15601983     DOI: 10.1038/oby.2004.231

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  10 in total

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4.  Genetic admixture, social-behavioural factors and body composition are associated with blood pressure differently by racial-ethnic group among children.

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5.  Dietary prescription adherence and non-structured physical activity following weight loss with and without aerobic exercise.

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8.  Objectively measured sedentary time, physical activity and markers of body fat in preschool children.

Authors:  Vanesa España-Romero; Jonathan A Mitchell; Marsha Dowda; Jennifer R O'Neill; Russell R Pate
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9.  Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolers.

Authors:  Issa F Zakeri; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Nancy F Butte
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10.  Early rising children are more active than late risers.

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  10 in total

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