Validation of the SenseWear mini armband in children during semi-structure activity settings

Jung Min Lee, Youngwon Kim, Yang Bai, Glenn Gaesser, Gregory J. Welk

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)41-45
Number of pages5
JournalJournal of Science and Medicine in Sport
Volume19
Issue number1
DOIs
StatePublished - Jan 1 2016

Fingerprint

Energy Metabolism
Calorimetry
Walking
Analysis of Variance
Research Design
Software

Keywords

  • Accelerometer monitor
  • Children
  • Energy expenditure
  • Physical activity

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Validation of the SenseWear mini armband in children during semi-structure activity settings. / Lee, Jung Min; Kim, Youngwon; Bai, Yang; Gaesser, Glenn; Welk, Gregory J.

In: Journal of Science and Medicine in Sport, Vol. 19, No. 1, 01.01.2016, p. 41-45.

Research output: Contribution to journalArticle

Lee, Jung Min ; Kim, Youngwon ; Bai, Yang ; Gaesser, Glenn ; Welk, Gregory J. / Validation of the SenseWear mini armband in children during semi-structure activity settings. In: Journal of Science and Medicine in Sport. 2016 ; Vol. 19, No. 1. pp. 41-45.
@article{169c245255ff4c77ad0814c55b155fec,
title = "Validation of the SenseWear mini armband in children during semi-structure activity settings",
abstract = "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.",
keywords = "Accelerometer monitor, Children, Energy expenditure, Physical activity",
author = "Lee, {Jung Min} and Youngwon Kim and Yang Bai and Glenn Gaesser and Welk, {Gregory J.}",
year = "2016",
month = "1",
day = "1",
doi = "10.1016/j.jsams.2014.10.004",
language = "English (US)",
volume = "19",
pages = "41--45",
journal = "Journal of Science and Medicine in Sport",
issn = "1440-2440",
publisher = "Elsevier BV",
number = "1",

}

TY - JOUR

T1 - Validation of the SenseWear mini armband in children during semi-structure activity settings

AU - Lee, Jung Min

AU - Kim, Youngwon

AU - Bai, Yang

AU - Gaesser, Glenn

AU - Welk, Gregory J.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

KW - Accelerometer monitor

KW - Children

KW - Energy expenditure

KW - Physical activity

UR - http://www.scopus.com/inward/record.url?scp=84948092970&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84948092970&partnerID=8YFLogxK

U2 - 10.1016/j.jsams.2014.10.004

DO - 10.1016/j.jsams.2014.10.004

M3 - Article

C2 - 25459233

AN - SCOPUS:84948092970

VL - 19

SP - 41

EP - 45

JO - Journal of Science and Medicine in Sport

JF - Journal of Science and Medicine in Sport

SN - 1440-2440

IS - 1

ER -