Evaluation of actical equations and thresholds to predict physical activity intensity in young children

Xanne Janssen*, Dylan Cliff, John Reilly, Trina Hinkley, Rachel Jones, Marijka Batterham, Ulf Ekelund, Søren Brage, Tony Okely

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
89 Downloads (Pure)

Abstract

This study examined the validity of current Actical activity energy expenditure (AEE) equations and intensity cut-points in preschoolers using AEE and direct observation as criterion measures. Forty 4–6-year-olds (5.3 ± 1.0 years) completed a ~150-min room calorimeter protocol involving age-appropriate sedentary behaviours (SBs), light intensity physical activities (LPAs) and moderate-to-vigorous intensity physical activities (MVPAs). AEE and/or physical activity intensity were calculated using Actical equations and cut-points by Adolph, Evenson, Pfeiffer and Puyau. Predictive validity was examined using paired sample t-tests. Classification accuracy was evaluated using weighted kappas, sensitivity, specificity and area under the receiver operating characteristic curve. The Pfeiffer equation significantly overestimated AEE during SB and underestimated AEE during LPA (P < 0.0125 for both). There was no significant difference between measured and predicted AEEs during MVPA. The Adolph cut-point showed significantly higher accuracy for classifying SB, LPA and MVPA than all others. The available Actical equation does not provide accurate estimates of AEE across all intensities in preschoolers. However, the Pfeiffer equation performed reasonably well for MVPA. Using cut-points of ≤6 counts · 15 s−1, 7–286 counts · 15 s−1 and ≥ 287 counts · 15 s−1 when classifying SB, LPA and MVPA, respectively, is recommended.

Original languageEnglish
Pages (from-to)498-506
Number of pages9
JournalJournal of Sports Sciences
Volume33
Issue number5
DOIs
Publication statusPublished - 24 Sept 2014

Keywords

  • accelerometry
  • preschoolers
  • room calorimeter

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