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- Publisher Website: 10.1016/j.jsams.2014.10.004
- Scopus: eid_2-s2.0-84948092970
- PMID: 25459233
- WOS: WOS:000367204000009
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Article: Validation of the SenseWear mini armband in children during semi-structure activity settings
Title | Validation of the SenseWear mini armband in children during semi-structure activity settings |
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Authors | |
Keywords | Accelerometer monitor Physical activity Energy expenditure Children |
Issue Date | 2016 |
Citation | Journal of Science and Medicine in Sport, 2016, v. 19, n. 1, p. 41-45 How to Cite? |
Abstract | © 2014 Sports Medicine Australia. Objectives: The purpose of the study is to evaluate the validity of different SenseWear software (algorithms v5.2 vs. algorithm v2.2) for estimating energy expenditure (EE) in children. Design: Original research. Methods: Forty-five children aged 7-13 years performed 12 randomly assigned activities (out of a set of 24) while wearing a SWA with simultaneous monitoring via portable calorimetry (IC). Each activity lasted 5 min, with a 1 min break between activities. The estimated EE values from the SWA were compared to the measured EE values from the IC using 3-way (Method × Algorithm × Activity) mixed model ANOVA. Results: The analyses revealed a significant method (IC vs. SWA)×Algorithm (v5.2 vs. v2.2) interaction, with significantly smaller errors (IC-SWA) for the newer v5.2 algorithms (0.25±0.09kcalmin-1) than the older v2.2 algorithms (1.04±0.09kcalmin-1). The mean absolute percent error (MAPE) was 17.0±12.1% for SWA5.2 algorithm and 31.4±11.1% for SWA2.2 algorithm. The v5.2 algorithms yielded non-significant (p>0.5) differences in EE estimates for most of the walking related activities as well as for stationary cycling at moderate intensity (MAPE=14.5%). Conclusions: The smaller errors in estimated EE with the SenseWear v5.2 algorithms (compared to v2.2) demonstrate continued incremental improvements in estimates of EE for monitoring free-living activities in children. |
Persistent Identifier | http://hdl.handle.net/10722/267016 |
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 | Lee, Jung Min | - |
dc.contributor.author | Kim, Youngwon | - |
dc.contributor.author | Bai, Yang | - |
dc.contributor.author | Gaesser, Glenn A. | - |
dc.contributor.author | Welk, Gregory J. | - |
dc.date.accessioned | 2019-01-31T07:20:16Z | - |
dc.date.available | 2019-01-31T07:20:16Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Journal of Science and Medicine in Sport, 2016, v. 19, n. 1, p. 41-45 | - |
dc.identifier.issn | 1440-2440 | - |
dc.identifier.uri | http://hdl.handle.net/10722/267016 | - |
dc.description.abstract | © 2014 Sports Medicine Australia. Objectives: The purpose of the study is to evaluate the validity of different SenseWear software (algorithms v5.2 vs. algorithm v2.2) for estimating energy expenditure (EE) in children. Design: Original research. Methods: Forty-five children aged 7-13 years performed 12 randomly assigned activities (out of a set of 24) while wearing a SWA with simultaneous monitoring via portable calorimetry (IC). Each activity lasted 5 min, with a 1 min break between activities. The estimated EE values from the SWA were compared to the measured EE values from the IC using 3-way (Method × Algorithm × Activity) mixed model ANOVA. Results: The analyses revealed a significant method (IC vs. SWA)×Algorithm (v5.2 vs. v2.2) interaction, with significantly smaller errors (IC-SWA) for the newer v5.2 algorithms (0.25±0.09kcalmin-1) than the older v2.2 algorithms (1.04±0.09kcalmin-1). The mean absolute percent error (MAPE) was 17.0±12.1% for SWA5.2 algorithm and 31.4±11.1% for SWA2.2 algorithm. The v5.2 algorithms yielded non-significant (p>0.5) differences in EE estimates for most of the walking related activities as well as for stationary cycling at moderate intensity (MAPE=14.5%). Conclusions: The smaller errors in estimated EE with the SenseWear v5.2 algorithms (compared to v2.2) demonstrate continued incremental improvements in estimates of EE for monitoring free-living activities in children. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Science and Medicine in Sport | - |
dc.subject | Accelerometer monitor | - |
dc.subject | Physical activity | - |
dc.subject | Energy expenditure | - |
dc.subject | Children | - |
dc.title | Validation of the SenseWear mini armband in children during semi-structure activity settings | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jsams.2014.10.004 | - |
dc.identifier.pmid | 25459233 | - |
dc.identifier.scopus | eid_2-s2.0-84948092970 | - |
dc.identifier.volume | 19 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 41 | - |
dc.identifier.epage | 45 | - |
dc.identifier.eissn | 1878-1861 | - |
dc.identifier.isi | WOS:000367204000009 | - |
dc.identifier.issnl | 1878-1861 | - |