CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data From Hip-Worn Accelerometers in Adults Aged 35.

Cinnamon S BlossSupun NakandalaFatima Tuz-ZahraElisabeth A H WinklerPaul R HibbingGenevieve N HealyDavid W DunstanNeville OwenMikael Anne Greenwood-HickmanDori E RosenbergJingjing ZouJordan A CarlsonChongzhi DiLindsay W DillonMarta M JankowskaAndrea Z LaCroixNicola D RidgersRong ZablockiArun KumarLoki Natarajan

Published in: Journal for the measurement of physical behaviour (2022)

Overall, these strong validation results indicate CHAP-Adult represents a significant advancement in the ambulatory measurement of sitting and sitting patterns using hip-worn accelerometers. Pending external validation, it could be widely applied to data from around the world to extend understanding of the epidemiology and health consequences of sitting.

Keyphrases

electronic health record
blood pressure
big data
machine learning
mental health
total hip arthroplasty
climate change
childhood cancer
young adults
data analysis
social media