Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth.
Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth.
复制标题
加速计回归模型预测儿童和青少年能量消耗和 MET 的准确性。
DOI：
10.1123/pes.24.4.519
复制
发表时间：
2012
影响因子：
1.8
通讯作者：
Freedson,PattyS
中科院分区：
文献类型：
--
作者：
Alhassan,Sofiya;Lyden,Kate;Howe,Cheryl;KozeyKeadle,Sarah;Nwaokelemeh,Ogechi;Freedson,PattyS
This study examined the validity of commonly used regression equations for the Actigraph and Actical accelerometers in predicting energy expenditure (EE) in children and adolescents. Sixty healthy (8–16 yrs) participants completed four treadmill (TM) and five self-paced activities of daily living (ADL). Four Actigraph (AG) and three Actical (AC) regression equations were used to estimate EE. Bias (±95% CI) and root mean squared errors were used to assess the validity of the regression equations compared with indirect calorimetry. For children, the Freedson (AG) model accurately predicted EE for all activities combined and the Treuth (AG) model accurately predicted EE for TM activities. For adolescents, the Freedson model accurately predicted EE for TM activities and the Treuth model accurately predicted EE for all activities and for TM activities. No other equation accurately estimated EE. The percent agreement for the AG and AC equations were better for light and vigorous compared with moderate intensity activities. The Trost (AG) equation most accurately classified all activity intensity categories. Overall, equations yield inconsistent point estimates of EE.
