Cargando…
A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study
BACKGROUND: Wearable technologies play an important role in measuring physical activity (PA) and promoting health. Standardized validation indices (i.e., accuracy, bias, and precision) compare performance of step counting wearable technologies in young people. PURPOSE: To produce a catalog of validi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283935/ https://www.ncbi.nlm.nih.gov/pubmed/34271922 http://dx.doi.org/10.1186/s12966-021-01167-y |
_version_ | 1783723299412377600 |
---|---|
author | Gould, Zachary R. Mora-Gonzalez, Jose Aguiar, Elroy J. Schuna, John M. Barreira, Tiago V. Moore, Christopher C. Staudenmayer, John Tudor-Locke, Catrine |
author_facet | Gould, Zachary R. Mora-Gonzalez, Jose Aguiar, Elroy J. Schuna, John M. Barreira, Tiago V. Moore, Christopher C. Staudenmayer, John Tudor-Locke, Catrine |
author_sort | Gould, Zachary R. |
collection | PubMed |
description | BACKGROUND: Wearable technologies play an important role in measuring physical activity (PA) and promoting health. Standardized validation indices (i.e., accuracy, bias, and precision) compare performance of step counting wearable technologies in young people. PURPOSE: To produce a catalog of validity indices for step counting wearable technologies assessed during different treadmill speeds (slow [0.8–3.2 km/h], normal [4.0–6.4 km/h], fast [7.2–8.0 km/h]), wear locations (waist, wrist/arm, thigh, and ankle), and age groups (children, 6–12 years; adolescents, 13–17 years; young adults, 18–20 years). METHODS: One hundred seventeen individuals (13.1 ± 4.2 years, 50.4% female) participated in this cross-sectional study and completed 5-min treadmill bouts (0.8 km/h to 8.0 km/h) while wearing eight devices (Waist: Actical, ActiGraph GT3X+, NL-1000, SW-200; Wrist: ActiGraph GT3X+; Arm: SenseWear; Thigh: activPAL; Ankle: StepWatch). Directly observed steps served as the criterion measure. Accuracy (mean absolute percentage error, MAPE), bias (mean percentage error, MPE), and precision (correlation coefficient, r; standard deviation, SD; coefficient of variation, CoV) were computed. RESULTS: Five of the eight tested wearable technologies (i.e., Actical, waist-worn ActiGraph GT3X+, activPAL, StepWatch, and SW-200) performed at < 5% MAPE over the range of normal speeds. More generally, waist (MAPE = 4%), thigh (4%) and ankle (5%) locations displayed higher accuracy than the wrist location (23%) at normal speeds. On average, all wearable technologies displayed the lowest accuracy across slow speeds (MAPE = 50.1 ± 35.5%), and the highest accuracy across normal speeds (MAPE = 15.9 ± 21.7%). Speed and wear location had a significant effect on accuracy and bias (P < 0.001), but not on precision (P > 0.05). Age did not have any effect (P > 0.05). CONCLUSIONS: Standardized validation indices focused on accuracy, bias, and precision were cataloged by speed, wear location, and age group to serve as important reference points when selecting and/or evaluating device performance in young people moving forward. Reduced performance can be expected at very slow walking speeds (0.8 to 3.2 km/h) for all devices. Ankle-worn and thigh-worn devices demonstrated the highest accuracy. Speed and wear location had a significant effect on accuracy and bias, but not precision. TRIAL REGISTRATION: Clinicaltrials.govNCT01989104. Registered November 14, 2013. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01167-y. |
format | Online Article Text |
id | pubmed-8283935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82839352021-07-19 A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study Gould, Zachary R. Mora-Gonzalez, Jose Aguiar, Elroy J. Schuna, John M. Barreira, Tiago V. Moore, Christopher C. Staudenmayer, John Tudor-Locke, Catrine Int J Behav Nutr Phys Act Research BACKGROUND: Wearable technologies play an important role in measuring physical activity (PA) and promoting health. Standardized validation indices (i.e., accuracy, bias, and precision) compare performance of step counting wearable technologies in young people. PURPOSE: To produce a catalog of validity indices for step counting wearable technologies assessed during different treadmill speeds (slow [0.8–3.2 km/h], normal [4.0–6.4 km/h], fast [7.2–8.0 km/h]), wear locations (waist, wrist/arm, thigh, and ankle), and age groups (children, 6–12 years; adolescents, 13–17 years; young adults, 18–20 years). METHODS: One hundred seventeen individuals (13.1 ± 4.2 years, 50.4% female) participated in this cross-sectional study and completed 5-min treadmill bouts (0.8 km/h to 8.0 km/h) while wearing eight devices (Waist: Actical, ActiGraph GT3X+, NL-1000, SW-200; Wrist: ActiGraph GT3X+; Arm: SenseWear; Thigh: activPAL; Ankle: StepWatch). Directly observed steps served as the criterion measure. Accuracy (mean absolute percentage error, MAPE), bias (mean percentage error, MPE), and precision (correlation coefficient, r; standard deviation, SD; coefficient of variation, CoV) were computed. RESULTS: Five of the eight tested wearable technologies (i.e., Actical, waist-worn ActiGraph GT3X+, activPAL, StepWatch, and SW-200) performed at < 5% MAPE over the range of normal speeds. More generally, waist (MAPE = 4%), thigh (4%) and ankle (5%) locations displayed higher accuracy than the wrist location (23%) at normal speeds. On average, all wearable technologies displayed the lowest accuracy across slow speeds (MAPE = 50.1 ± 35.5%), and the highest accuracy across normal speeds (MAPE = 15.9 ± 21.7%). Speed and wear location had a significant effect on accuracy and bias (P < 0.001), but not on precision (P > 0.05). Age did not have any effect (P > 0.05). CONCLUSIONS: Standardized validation indices focused on accuracy, bias, and precision were cataloged by speed, wear location, and age group to serve as important reference points when selecting and/or evaluating device performance in young people moving forward. Reduced performance can be expected at very slow walking speeds (0.8 to 3.2 km/h) for all devices. Ankle-worn and thigh-worn devices demonstrated the highest accuracy. Speed and wear location had a significant effect on accuracy and bias, but not precision. TRIAL REGISTRATION: Clinicaltrials.govNCT01989104. Registered November 14, 2013. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01167-y. BioMed Central 2021-07-16 /pmc/articles/PMC8283935/ /pubmed/34271922 http://dx.doi.org/10.1186/s12966-021-01167-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gould, Zachary R. Mora-Gonzalez, Jose Aguiar, Elroy J. Schuna, John M. Barreira, Tiago V. Moore, Christopher C. Staudenmayer, John Tudor-Locke, Catrine A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title | A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title_full | A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title_fullStr | A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title_full_unstemmed | A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title_short | A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study |
title_sort | catalog of validity indices for step counting wearable technologies during treadmill walking: the cadence-kids study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283935/ https://www.ncbi.nlm.nih.gov/pubmed/34271922 http://dx.doi.org/10.1186/s12966-021-01167-y |
work_keys_str_mv | AT gouldzacharyr acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT moragonzalezjose acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT aguiarelroyj acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT schunajohnm acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT barreiratiagov acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT moorechristopherc acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT staudenmayerjohn acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT tudorlockecatrine acatalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT gouldzacharyr catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT moragonzalezjose catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT aguiarelroyj catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT schunajohnm catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT barreiratiagov catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT moorechristopherc catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT staudenmayerjohn catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy AT tudorlockecatrine catalogofvalidityindicesforstepcountingwearabletechnologiesduringtreadmillwalkingthecadencekidsstudy |