Heart rate telemetry is frequently used to estimate daily activity in @entity1 and to validate other methods. This study compared the accuracy of heart rate monitoring, pedometry, triaxial accelerometry, and uniaxial accelerometry for estimating @entity26 consumption during typical @entity1 's activities. Thirty Welsh @entity1 (mean age 9.2 +/- 0.8 yr) walked (4 and 6 km/h) and ran (8 and 10 km/h) on a treadmill, played catch, played hopscotch, and sat and crayoned. Heart rate, body accelerations in three axes, pedometry counts, and @entity26 uptake were measured continuously during each 4-min activity. @entity26 uptake was expressed as a ratio of body mass raised to the power of 0.75 [scaled @entity26 uptake (sVO2)]. All measures correlated significantly (P < 0.001) with sVO2. A multiple-regression equation that included triaxial accelerometry counts and heart rate predicted sVO2 better than any measure alone (R2 = 0.85, standard error of the estimate = 9.7 ml.kg-0.75. @entity1009 ). The best of the single measures was triaxial accelerometry (R2 = 0.83, standard error of the estimate = 10.3 ml.kg-0.75. @entity1009 ). It is concluded that a triaxial accelerometer provides the best assessment of activity. Pedometry offers potential for large population studies.

Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of XXXX 's activities.

@entity1 :: ('9606', 'Species') :: ['children'] @entity26 :: ('MESH:D010100', 'Chemical') :: ['oxygen', 'Oxygen'] @entity1009 :: ('966', 'Gene') :: ['min-1']
@entity1 :: (9606,Species) :: ['children']
