Estimating physical activity in youth using an ankle accelerometer.
In: Journal of Sports Sciences, Jg. 36 (2018-10-01), Heft 19, S. 2265-2271
Online
academicJournal
Zugriff:
This study developed and validated a vector magnitude (VM) two-regression model (2RM) for use with an ankle-worn ActiGraph accelerometer. For model development, 181 youth (mean ± SD; age, 12.0 ± 1.5 yr) completed 30 min of supine rest and 2-7 structured activities. For cross-validation, 42 youth (age, 12.6 ± 0.8 yr) completed approximately 2 hr of unstructured physical activity (PA). PA data were collected using an ActiGraph accelerometer, (non-dominant ankle) and the VM was expressed as counts/5-s. Measured energy expenditure (Cosmed K4b²) was converted to youth METs (METy; activity VO2 divided by resting VO2). A coefficient of variation (CV) was calculated for each activity to distinguish continuous walking/running from intermittent activity. The ankle VM sedentary behavior threshold was ≤10 counts/5-s, and a CV≤15 counts/5-s was used to identify walking/running. The ankle VM2RM was within 0.42 METy of measured METy during the unstructured PA (P > 0.05). The ankle VM2RM was within 5.7 min of measured time spent in sedentary, LPA, MPA, and VPA (P > 0.05). Compared to the K4b², the ankle VM2RM provided similar estimates to measured values during unstructured play and provides a feasible wear location for future studies. [ABSTRACT FROM AUTHOR]
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Estimating physical activity in youth using an ankle accelerometer.
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Autor/in / Beteiligte Person: | Crouter, Scott E. ; Oody, Jennifer Flynn ; Bassett, David R. |
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Zeitschrift: | Journal of Sports Sciences, Jg. 36 (2018-10-01), Heft 19, S. 2265-2271 |
Veröffentlichung: | 2018 |
Medientyp: | academicJournal |
ISSN: | 0264-0414 (print) |
DOI: | 10.1080/02640414.2018.1449091 |
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