TY - JOUR
T1 - Validation of the TracmorD triaxial accelerometer to assess physical activity in preschool children
AU - Sijtsma, Anna
AU - Schierbeek, Henk
AU - Goris, Annelies H. C.
AU - Joosten, Koen F. M.
AU - van Kessel, Imke
AU - Corpeleijn, Eva
AU - Sauer, Pieter J. J.
PY - 2013
Y1 - 2013
N2 - To assess validity evidence of TracmorD to determine energy used for physical activity in 3-4-year-old children. Participants were randomly selected from GECKO Drenthe cohort (n = 30, age 3.4 ± 0.3 years). Total energy expenditure (TEE) was measured using the doubly labeled water method. Sleeping metabolic rate (SMR) was measured by indirect calorimetry (Deltatrac). TEE and SMR were used to calculate physical activity level (PAL) and activity energy expenditure (AEE). Physical activity was monitored using a DirectLife triaxial accelerometer, TracmorD with activity counts per minute (ACM) and activity counts per day (ACD) as outcome measures. The best predictor for PAL was ACM with gender and weight, the best predictor for AEE was ACM alone (backward regression, R(2) = 0.50, P = 0.010 and R2 = 0.31, P = 0.011, respectively). With ACD, the prediction model for PAL included ACD, height, gender, and sleep duration (R2 = 0.48, P = 0.033), the prediction model for AEE included ACD, gender and sleep duration (R2 = 0.39, P = 0.042). The accelerometer was worn for 5 days, but 3 days did not give a different estimated PAL. TracmorD provides moderate-to-strong validity evidence that supports its use to evaluate energy used for physical activity in 3-4-year-old children
AB - To assess validity evidence of TracmorD to determine energy used for physical activity in 3-4-year-old children. Participants were randomly selected from GECKO Drenthe cohort (n = 30, age 3.4 ± 0.3 years). Total energy expenditure (TEE) was measured using the doubly labeled water method. Sleeping metabolic rate (SMR) was measured by indirect calorimetry (Deltatrac). TEE and SMR were used to calculate physical activity level (PAL) and activity energy expenditure (AEE). Physical activity was monitored using a DirectLife triaxial accelerometer, TracmorD with activity counts per minute (ACM) and activity counts per day (ACD) as outcome measures. The best predictor for PAL was ACM with gender and weight, the best predictor for AEE was ACM alone (backward regression, R(2) = 0.50, P = 0.010 and R2 = 0.31, P = 0.011, respectively). With ACD, the prediction model for PAL included ACD, height, gender, and sleep duration (R2 = 0.48, P = 0.033), the prediction model for AEE included ACD, gender and sleep duration (R2 = 0.39, P = 0.042). The accelerometer was worn for 5 days, but 3 days did not give a different estimated PAL. TracmorD provides moderate-to-strong validity evidence that supports its use to evaluate energy used for physical activity in 3-4-year-old children
U2 - https://doi.org/10.1002/oby.20401
DO - https://doi.org/10.1002/oby.20401
M3 - Article
C2 - 23512533
SN - 1930-7381
VL - 21
SP - 1877
EP - 1883
JO - Obesity (Silver Spring, Md.)
JF - Obesity (Silver Spring, Md.)
IS - 9
ER -