CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children.

Jordan A CarlsonNicola D RidgersSupun NakandalaRong ZablockiFatima Tuz-ZahraJohn BellettierePaul R HibbingChelsea SteelMarta M JankowskaDori E RosenbergMikael Anne Greenwood-HickmanJingjing ZouAndrea Z LaCroixArun KumarLoki Natarajan

Published in: The international journal of behavioral nutrition and physical activity (2022)

There was strong support for the concurrent validity of the CHAP-child classification method, which allows researchers to derive activPAL-equivalent measures of sedentary time, sit-to-stand transitions, and sedentary bout patterns from hip-worn triaxial ActiGraph data. Applying CHAP-child to existing datasets may provide greater insights into the potential impacts and influences of sedentary time in children.

Keyphrases

physical activity
mental health
young adults
machine learning
total hip arthroplasty
deep learning
squamous cell carcinoma
big data
locally advanced
climate change
artificial intelligence
human health