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期刊名:Journal for the measurement of physical behaviour

缩写:J MEAS PHYS BEHAV

ISSN:2575-6605

e-ISSN:2575-6613

IF/分区:1.5/Q3

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共收录本刊相关文章索引42
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Michael J Rose,Michael P LaValley,S Reza Jafarzadeh et al. Michael J Rose et al.
Objective: To examine changes in physical activity, sleep, pain and mood in people with knee osteoarthritis (OA) during the ongoing COVID-19 pandemic by leveraging an ongoing randomized clinical trial (RCT). ...
Guangxing Wang,Sixuan Wu,Kelly R Evenson et al. Guangxing Wang et al.
Purpose: Traditional summary metrics provided by accelerometer device manufacturers, known as counts, are proprietary and manufacturer specific, making them difficult to compare studies using different devices. Alternativ...
Melissa A Jones,Sara J Diesel,Bethany Barone Gibbs et al. Melissa A Jones et al.
Introduction: Current best practice for objective measurement of sedentary behavior and moderate-to-vigorous intensity physical activity (MVPA) requires two separate devices. This study assessed concurrent agreement betwe...
Scott W Ducharme,Jongil Lim,Michael A Busa et al. Scott W Ducharme et al.
Step-based metrics provide simple measures of ambulatory activity, yet device software either includes undisclosed proprietary step detection algorithms or simply do not compute step-based metrics. We aimed to develop and validate a simple ...
Chelsea Steel,Katie Crist,Amanda Grimes et al. Chelsea Steel et al.
Objective: To investigate the convergent validity of a global positioning system (GPS)-based and two consumer-based measures with trip logs for classifying pedestrian, cycling, and vehicle trips in children and adults. ...
John Bellettiere,Fatima Tuz-Zahra,Jordan A Carlson et al. John Bellettiere et al.
Little is known about how sedentary behaviour (SB) metrics derived from hip-worn and thigh-worn accelerometers agree for older adults. Thigh-worn activPAL micro monitors were concurrently worn with hip-worn ActiGraph GT3X+ accelerometers (w...
Supun Nakandala,Marta M Jankowska,Fatima Tuz-Zahra et al. Supun Nakandala et al.
Background: Machine learning has been used for classification of physical behavior bouts from hip-worn accelerometers; however, this research has been limited due to the challenges of directly observing and coding human b...
Jordan A Carlson,Fatima Tuz-Zahra,John Bellettiere et al. Jordan A Carlson et al.
Background: The authors assessed agreement between participant diaries and two automated algorithms applied to activPAL (PAL Technologies Ltd, Glasgow, United Kingdom) data for classifying awake wear time in three age gro...
Scott J Strath,Taylor W Rowley,Chi C Cho et al. Scott J Strath et al.
Purpose: To compare the accuracy and precision of a hip-worn accelerometer to predict energy cost during structured activities across motor performance and disease conditions. ...