New Insights into Activity Patterns in Children, Found Using Functional Data Analyses.

ABSTRACT:

Introduction/purpose

Continuous monitoring of activity using accelerometers and other wearable devices provides objective, unbiased measurement of physical activity in minute-by-minute or finer resolutions. Accelerometers have already been widely deployed in studies of healthy aging, recovery of function after heart surgery, and other outcomes. Although common analyses of accelerometer data focus on single summary variables, such as the total or average activity count, there is growing interest in the determinants of diurnal profiles of activity.

Methods

We use tools from functional data analysis (FDA), an area with an established statistical literature, to treat complete 24-h diurnal profiles as outcomes in a regression model. We illustrate the use of such models by analyzi

SUBMITTER: Goldsmith J 

PROVIDER: S-EPMC4987214 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature