Objective: The present study aimed to develop accelerometer cut points to classify physical activities (PA) by intensity in preschoolers and to investigate discrepancies in PA levels when applying various accelerometer cut points. Methods: To calibrate the accelerometer, 18 preschoolers (5.8 ± 0.4 years) performed eleven structured activities and one free play session while wearing a GT1M ActiGraph accelerometer using 15 s epochs. The structured activities were chosen based on the direct observation system Children’s Activity Rating Scale (CARS) while the criterion measure of PA intensity during free play was provided using a second-by-second observation protocol (modified CARS). Receiver Operating Characteristic (ROC) curve analyses were ...
ActiGraph accelerometers are a widely used tool to objectively measure physical activity (PA) behavi...
Background: Accelerometers measure complex movements of children’s free play moderate-vigorous...
Introduction Machine learning (ML) accelerometer data processing methods have potential to improve t...
Objective. The present study aimed to develop accelerometer cut points to classify physical activiti...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
The present study cross-validated various cut-points to assess physical activity and sedentary behav...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
The purpose of this study was to derive ActiGraph cut-points for sedentary (SED), light-intensity ph...
Purpose: To test a field-based protocol using intermittent activities representative of children’s p...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
To test a field-based protocol using intermittent activities representative of children's physical a...
Background The purposes of this study were 1) to establish accelerometer count cutoffs to categorize...
ActiGraph accelerometers are a widely used tool to objectively measure physical activity (PA) behavi...
Background: Accelerometers measure complex movements of children’s free play moderate-vigorous...
Introduction Machine learning (ML) accelerometer data processing methods have potential to improve t...
Objective. The present study aimed to develop accelerometer cut points to classify physical activiti...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
The present study cross-validated various cut-points to assess physical activity and sedentary behav...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
The purpose of this study was to derive ActiGraph cut-points for sedentary (SED), light-intensity ph...
Purpose: To test a field-based protocol using intermittent activities representative of children’s p...
This study compared accelerometry cut points for sedentary behavior, light and moderate to vigorous ...
To test a field-based protocol using intermittent activities representative of children's physical a...
Background The purposes of this study were 1) to establish accelerometer count cutoffs to categorize...
ActiGraph accelerometers are a widely used tool to objectively measure physical activity (PA) behavi...
Background: Accelerometers measure complex movements of children’s free play moderate-vigorous...
Introduction Machine learning (ML) accelerometer data processing methods have potential to improve t...