Cargando…

Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults

Accelerometers’ accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various...

Descripción completa

Detalles Bibliográficos
Autores principales: Migueles, Jairo H., Cadenas-Sanchez, Cristina, Alcantara, Juan M. A., Leal-Martín, Javier, Mañas, Asier, Ara, Ignacio, Glynn, Nancy W., Shiroma, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150960/
https://www.ncbi.nlm.nih.gov/pubmed/34064790
http://dx.doi.org/10.3390/s21103326
_version_ 1783698270744215552
author Migueles, Jairo H.
Cadenas-Sanchez, Cristina
Alcantara, Juan M. A.
Leal-Martín, Javier
Mañas, Asier
Ara, Ignacio
Glynn, Nancy W.
Shiroma, Eric J.
author_facet Migueles, Jairo H.
Cadenas-Sanchez, Cristina
Alcantara, Juan M. A.
Leal-Martín, Javier
Mañas, Asier
Ara, Ignacio
Glynn, Nancy W.
Shiroma, Eric J.
author_sort Migueles, Jairo H.
collection PubMed
description Accelerometers’ accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various wear locations people more than 70 years old. Data from 59 older adults were used for calibration and from 21 independent participants for cross-validation purposes. Participants wore accelerometers on their hip and wrists while performing activities and having their energy expenditure measured with portable calorimetry. ST and MVPA were defined as ≤1.5 metabolic equivalents (METs) and ≥3 METs (1 MET = 2.8 mL/kg/min), respectively. Receiver operator characteristic (ROC) analyses showed fair-to-good accuracy (area under the curve [AUC] = 0.62–0.89). ST cut-points were 7 mg (cross-validation: sensitivity = 0.88, specificity = 0.80) and 1 count/5 s (cross-validation: sensitivity = 0.91, specificity = 0.96) for the hip; 18 mg (cross-validation: sensitivity = 0.86, specificity = 0.86) and 102 counts/5 s (cross-validation: sensitivity = 0.91, specificity = 0.92) for the non-dominant wrist; and 22 mg and 175 counts/5 s (not cross-validated) for the dominant wrist. MVPA cut-points were 14 mg (cross-validation: sensitivity = 0.70, specificity = 0.99) and 54 count/5 s (cross-validation: sensitivity = 1.00, specificity = 0.96) for the hip; 60 mg (cross-validation: sensitivity = 0.83, specificity = 0.99) and 182 counts/5 s (cross-validation: sensitivity = 1.00, specificity = 0.89) for the non-dominant wrist; and 64 mg and 268 counts/5 s (not cross-validated) for the dominant wrist. These cut-points can classify ST and MVPA in older adults from hip- and wrist-worn accelerometers.
format Online
Article
Text
id pubmed-8150960
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81509602021-05-27 Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults Migueles, Jairo H. Cadenas-Sanchez, Cristina Alcantara, Juan M. A. Leal-Martín, Javier Mañas, Asier Ara, Ignacio Glynn, Nancy W. Shiroma, Eric J. Sensors (Basel) Article Accelerometers’ accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various wear locations people more than 70 years old. Data from 59 older adults were used for calibration and from 21 independent participants for cross-validation purposes. Participants wore accelerometers on their hip and wrists while performing activities and having their energy expenditure measured with portable calorimetry. ST and MVPA were defined as ≤1.5 metabolic equivalents (METs) and ≥3 METs (1 MET = 2.8 mL/kg/min), respectively. Receiver operator characteristic (ROC) analyses showed fair-to-good accuracy (area under the curve [AUC] = 0.62–0.89). ST cut-points were 7 mg (cross-validation: sensitivity = 0.88, specificity = 0.80) and 1 count/5 s (cross-validation: sensitivity = 0.91, specificity = 0.96) for the hip; 18 mg (cross-validation: sensitivity = 0.86, specificity = 0.86) and 102 counts/5 s (cross-validation: sensitivity = 0.91, specificity = 0.92) for the non-dominant wrist; and 22 mg and 175 counts/5 s (not cross-validated) for the dominant wrist. MVPA cut-points were 14 mg (cross-validation: sensitivity = 0.70, specificity = 0.99) and 54 count/5 s (cross-validation: sensitivity = 1.00, specificity = 0.96) for the hip; 60 mg (cross-validation: sensitivity = 0.83, specificity = 0.99) and 182 counts/5 s (cross-validation: sensitivity = 1.00, specificity = 0.89) for the non-dominant wrist; and 64 mg and 268 counts/5 s (not cross-validated) for the dominant wrist. These cut-points can classify ST and MVPA in older adults from hip- and wrist-worn accelerometers. MDPI 2021-05-11 /pmc/articles/PMC8150960/ /pubmed/34064790 http://dx.doi.org/10.3390/s21103326 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Migueles, Jairo H.
Cadenas-Sanchez, Cristina
Alcantara, Juan M. A.
Leal-Martín, Javier
Mañas, Asier
Ara, Ignacio
Glynn, Nancy W.
Shiroma, Eric J.
Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title_full Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title_fullStr Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title_full_unstemmed Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title_short Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults
title_sort calibration and cross-validation of accelerometer cut-points to classify sedentary time and physical activity from hip and non-dominant and dominant wrists in older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150960/
https://www.ncbi.nlm.nih.gov/pubmed/34064790
http://dx.doi.org/10.3390/s21103326
work_keys_str_mv AT miguelesjairoh calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT cadenassanchezcristina calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT alcantarajuanma calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT lealmartinjavier calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT manasasier calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT araignacio calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT glynnnancyw calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults
AT shiromaericj calibrationandcrossvalidationofaccelerometercutpointstoclassifysedentarytimeandphysicalactivityfromhipandnondominantanddominantwristsinolderadults