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- Publisher Website: 10.1016/j.jsams.2018.03.015
- Scopus: eid_2-s2.0-85045050375
- PMID: 29650338
- WOS: WOS:000448096500013
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Article: Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds
Title | Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds |
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Authors | |
Keywords | Inactivity Physical activity Measurement Accelerometry Children |
Issue Date | 2018 |
Citation | Journal of Science and Medicine in Sport, 2018, v. 21, n. 10, p. 1045-1049 How to Cite? |
Abstract | © 2018 Sports Medicine Australia Objectives: To examine the comparability of children's free-living sedentary time (ST) derived from raw acceleration thresholds for wrist mounted GENEActiv accelerometer data, with ST estimated using the waist mounted ActiGraph 100 count · min−1 threshold. Design: Secondary data analysis. Method: 108 10–11-year-old children (n = 43 boys) from Liverpool, UK wore one ActiGraph GT3X+ and one GENEActiv accelerometer on their right hip and left wrist, respectively for seven days. Signal vector magnitude (SVM; mg) was calculated using the ENMO approach for GENEActiv data. ST was estimated from hip-worn ActiGraph data, applying the widely used 100 count · min−1 threshold. ROC analysis using 10-fold hold-out cross-validation was conducted to establish a wrist-worn GENEActiv threshold comparable to the hip ActiGraph 100 count · min−1 threshold. GENEActiv data were also classified using three empirical wrist thresholds and equivalence testing was completed. Results: Analysis indicated that a GENEActiv SVM value of 51 mg demonstrated fair to moderate agreement (Kappa: 0.32–0.41) with the 100 count · min−1 threshold. However, the generated and empirical thresholds for GENEActiv devices were not significantly equivalent to ActiGraph 100 count · min−1. GENEActiv data classified using the 35.6 mg threshold intended for ActiGraph devices generated significantly equivalent ST estimates as the ActiGraph 100 count · min−1. Conclusions: The newly generated and empirical GENEActiv wrist thresholds do not provide equivalent estimates of ST to the ActiGraph 100 count · min−1 approach. More investigation is required to assess the validity of applying ActiGraph cutpoints to GENEActiv data. Future studies are needed to examine the backward compatibility of ST data and to produce a robust method of classifying SVM-derived ST. |
Persistent Identifier | http://hdl.handle.net/10722/267085 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 1.222 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Boddy, Lynne M. | - |
dc.contributor.author | Noonan, Robert J. | - |
dc.contributor.author | Kim, Youngwon | - |
dc.contributor.author | Rowlands, Alex V. | - |
dc.contributor.author | Welk, Greg J. | - |
dc.contributor.author | Knowles, Zoe R. | - |
dc.contributor.author | Fairclough, Stuart J. | - |
dc.date.accessioned | 2019-01-31T07:20:28Z | - |
dc.date.available | 2019-01-31T07:20:28Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Journal of Science and Medicine in Sport, 2018, v. 21, n. 10, p. 1045-1049 | - |
dc.identifier.issn | 1440-2440 | - |
dc.identifier.uri | http://hdl.handle.net/10722/267085 | - |
dc.description.abstract | © 2018 Sports Medicine Australia Objectives: To examine the comparability of children's free-living sedentary time (ST) derived from raw acceleration thresholds for wrist mounted GENEActiv accelerometer data, with ST estimated using the waist mounted ActiGraph 100 count · min−1 threshold. Design: Secondary data analysis. Method: 108 10–11-year-old children (n = 43 boys) from Liverpool, UK wore one ActiGraph GT3X+ and one GENEActiv accelerometer on their right hip and left wrist, respectively for seven days. Signal vector magnitude (SVM; mg) was calculated using the ENMO approach for GENEActiv data. ST was estimated from hip-worn ActiGraph data, applying the widely used 100 count · min−1 threshold. ROC analysis using 10-fold hold-out cross-validation was conducted to establish a wrist-worn GENEActiv threshold comparable to the hip ActiGraph 100 count · min−1 threshold. GENEActiv data were also classified using three empirical wrist thresholds and equivalence testing was completed. Results: Analysis indicated that a GENEActiv SVM value of 51 mg demonstrated fair to moderate agreement (Kappa: 0.32–0.41) with the 100 count · min−1 threshold. However, the generated and empirical thresholds for GENEActiv devices were not significantly equivalent to ActiGraph 100 count · min−1. GENEActiv data classified using the 35.6 mg threshold intended for ActiGraph devices generated significantly equivalent ST estimates as the ActiGraph 100 count · min−1. Conclusions: The newly generated and empirical GENEActiv wrist thresholds do not provide equivalent estimates of ST to the ActiGraph 100 count · min−1 approach. More investigation is required to assess the validity of applying ActiGraph cutpoints to GENEActiv data. Future studies are needed to examine the backward compatibility of ST data and to produce a robust method of classifying SVM-derived ST. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Science and Medicine in Sport | - |
dc.subject | Inactivity | - |
dc.subject | Physical activity | - |
dc.subject | Measurement | - |
dc.subject | Accelerometry | - |
dc.subject | Children | - |
dc.title | Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jsams.2018.03.015 | - |
dc.identifier.pmid | 29650338 | - |
dc.identifier.scopus | eid_2-s2.0-85045050375 | - |
dc.identifier.volume | 21 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 1045 | - |
dc.identifier.epage | 1049 | - |
dc.identifier.eissn | 1878-1861 | - |
dc.identifier.isi | WOS:000448096500013 | - |
dc.identifier.issnl | 1878-1861 | - |