Journal
JOURNAL OF SPORTS SCIENCES
Volume 37, Issue 16, Pages 1910-1918Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2019.1605647
Keywords
Wearable technology; activity classification; sedentary behaviour
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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-levelestimates in children, but future work is needed to improve the algorithm for better individual-level results.
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