• Predictive validity and classification accuracy of actigraph energy expenditure equations and cut-points in young children 

      Janssen, Xanne; Cliff, Dylan; Reilly, John J.; Hinkley, Trina; Jones, Rachel A.; Batterham, Marijka; Ekelund, Ulf; Brage, Søren; Okely, Anthony D. (Journal article; Peer reviewed, 2013-11-11)
      Objectives: Evaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers. Methods: Forty children aged 4–6 years ...
    • Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-year-old children 

      van Loo, Christiana M. T.; Okely, Anthony D.; Batterham, Marijka; Hinkley, Tina; Ekelund, Ulf; Brage, Søren; Reilly, John J.; Peoples, Gregory E.; Jones, Rachel; Janssen, Xanne; Cliff, Dylan P. (Journal article; Peer reviewed, 2016-06)
      Background: To validate the activPAL3 algorithm for predicting metabolic equivalents (TAMETs) and classifying MVPA in 5- to 12-year-old children. Methods: Fifty-seven children (9.2 ± 2.3y, 49.1% boys) completed 14 activities ...
    • Validation of the SenseWear Mini activity monitor in 5−12-year-old children 

      van Loo, Christiana M. T.; Okely, Anthony D.; Batterham, Marijka; Hinkley, Trina; Ekelund, Ulf; Brage, Søren; Reilly, John J.; Peoples, Gregory E.; Jones, Rachel A.; Janssen, Xanne; Cliff, Dylan P. (Journal article; Peer reviewed, 2017)
      Objectives: This study aimed to validate SenseWear Mini software algorithm versions 2.2 (SW2.2) and 5.2 (SW5.2) for estimating energy expenditure (EE) in children. Design: Laboratory-based validation study. Methods: 57 ...