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Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies
INTRODUCTION: A lack of standardization with accelerometry-based monitors has made it hard to advance applications for both research and practice. Resolving these challenges is essential for developing methods for consistent, agnostic reporting of physical activity outcomes from wearable monitors in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693923/ https://www.ncbi.nlm.nih.gov/pubmed/30913159 http://dx.doi.org/10.1249/MSS.0000000000001966 |
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author | WELK, GREGORY J. BAI, YANG LEE, JUNG-MIN GODINO, JOB SAINT-MAURICE, PEDRO F. CARR, LUCAS |
author_facet | WELK, GREGORY J. BAI, YANG LEE, JUNG-MIN GODINO, JOB SAINT-MAURICE, PEDRO F. CARR, LUCAS |
author_sort | WELK, GREGORY J. |
collection | PubMed |
description | INTRODUCTION: A lack of standardization with accelerometry-based monitors has made it hard to advance applications for both research and practice. Resolving these challenges is essential for developing methods for consistent, agnostic reporting of physical activity outcomes from wearable monitors in clinical applications. METHODS: This article reviewed the literature on the methods used to evaluate the validity of contemporary consumer activity monitors. A rationale for focusing on energy expenditure as a key outcome measure in validation studies was provided followed by a summary of the strengths and limitations of different analytical methods. The primary review included 23 recent validation studies that collectively reported energy expenditure estimates from 58 monitors relative to values from appropriate criterion measures. RESULTS: The majority of studies reported weak indicators such as correlation coefficients (87%), but only half (52%) reported the recommended summary statistic of mean absolute percent error needed to evaluate actual individual error. Fewer used appropriate tests of agreement such as equivalence testing (22%). CONCLUSIONS: The use of inappropriate analytic methods and incomplete reporting of outcomes is a major limitation for systematically advancing research with both research grade and consumer-grade activity monitors. Guidelines are provided to standardize analytic methods and reporting in these types of studies to enhance the utility of the devices for clinical mHealth applications. |
format | Online Article Text |
id | pubmed-6693923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-66939232019-09-17 Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies WELK, GREGORY J. BAI, YANG LEE, JUNG-MIN GODINO, JOB SAINT-MAURICE, PEDRO F. CARR, LUCAS Med Sci Sports Exerc SPECIAL COMMUNICATIONS: Methodological Advances INTRODUCTION: A lack of standardization with accelerometry-based monitors has made it hard to advance applications for both research and practice. Resolving these challenges is essential for developing methods for consistent, agnostic reporting of physical activity outcomes from wearable monitors in clinical applications. METHODS: This article reviewed the literature on the methods used to evaluate the validity of contemporary consumer activity monitors. A rationale for focusing on energy expenditure as a key outcome measure in validation studies was provided followed by a summary of the strengths and limitations of different analytical methods. The primary review included 23 recent validation studies that collectively reported energy expenditure estimates from 58 monitors relative to values from appropriate criterion measures. RESULTS: The majority of studies reported weak indicators such as correlation coefficients (87%), but only half (52%) reported the recommended summary statistic of mean absolute percent error needed to evaluate actual individual error. Fewer used appropriate tests of agreement such as equivalence testing (22%). CONCLUSIONS: The use of inappropriate analytic methods and incomplete reporting of outcomes is a major limitation for systematically advancing research with both research grade and consumer-grade activity monitors. Guidelines are provided to standardize analytic methods and reporting in these types of studies to enhance the utility of the devices for clinical mHealth applications. Lippincott Williams & Wilkins 2019-08 2019-03-19 /pmc/articles/PMC6693923/ /pubmed/30913159 http://dx.doi.org/10.1249/MSS.0000000000001966 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | SPECIAL COMMUNICATIONS: Methodological Advances WELK, GREGORY J. BAI, YANG LEE, JUNG-MIN GODINO, JOB SAINT-MAURICE, PEDRO F. CARR, LUCAS Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title | Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title_full | Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title_fullStr | Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title_full_unstemmed | Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title_short | Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies |
title_sort | standardizing analytic methods and reporting in activity monitor validation studies |
topic | SPECIAL COMMUNICATIONS: Methodological Advances |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693923/ https://www.ncbi.nlm.nih.gov/pubmed/30913159 http://dx.doi.org/10.1249/MSS.0000000000001966 |
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