Validating the Sedentary Sphere method in children: Does wrist or accelerometer brand matter?

J Sports Sci. 2019 Aug;37(16):1910-1918. doi: 10.1080/02640414.2019.1605647. Epub 2019 Apr 23.

Abstract

This study aimed to validate the Sedentary Sphere posture classification method from wrist-worn accelerometers in children. Twenty-seven 9-10-year-old children wore ActiGraph GT9X (AG) and GENEActiv (GA) accelerometers on both wrists, and activPAL on the thigh while completing prescribed activities: five sedentary activities, standing with a phone, walking (criterion for all 7: observation) and 10-min free-living play (criterion: activPAL). In an independent sample, 21 children wore AG and GA accelerometers on the non-dominant wrist and activPAL for two days of free-living. Per cent accuracy, pairwise 95% equivalence tests (±10% equivalence zone) and intra-class correlation coefficients (ICC) analyses were completed. Accuracy was similar, for prescribed activities irrespective of brand (non-dominant wrist: 77-78%; dominant wrist: 79%). Posture estimates were equivalent between wrists within brand (±6%, ICC > 0.81, lower 95% CI ≥ 0.75), between brands worn on the same wrist (±5%, ICC ≥ 0.84, lower 95% CI ≥ 0.80) and between brands worn on opposing wrists (±6%, ICC ≥ 0.78, lower 95% CI ≥ 0.72). Agreement with activPAL during free-living was 77%, but sedentary time was underestimated by 7% (GA) and 10% (AG). The Sedentary Sphere can be used to classify posture from wrist-worn AG and GA accelerometers for group-level estimates in children, but future work is needed to improve the algorithm for better individual-level results.

Keywords: Wearable technology; activity classification; sedentary behaviour.

Publication types

  • Validation Study

MeSH terms

  • Actigraphy / instrumentation*
  • Activities of Daily Living
  • Algorithms
  • Child
  • Equipment Design
  • Female
  • Fitness Trackers*
  • Humans
  • Male
  • Posture*
  • Reproducibility of Results
  • Sedentary Behavior*
  • Thigh
  • Wrist