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Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
Pulmonary rehabilitation (PR) is an important component in the management of respiratory diseases. The effectiveness of PR is dependent upon adherence to exercise training recommendations. The study of exercise adherence is thus a key step towards the optimization of PR programs. To date, mostly ind...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112652/ https://www.ncbi.nlm.nih.gov/pubmed/24300076 http://dx.doi.org/10.3791/50643 |
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author | Rizk, Amanda K. Wardini, Rima Chan-Thim, Emilie Trutschnigg, Barbara Forget, Amélie Pepin, Véronique |
author_facet | Rizk, Amanda K. Wardini, Rima Chan-Thim, Emilie Trutschnigg, Barbara Forget, Amélie Pepin, Véronique |
author_sort | Rizk, Amanda K. |
collection | PubMed |
description | Pulmonary rehabilitation (PR) is an important component in the management of respiratory diseases. The effectiveness of PR is dependent upon adherence to exercise training recommendations. The study of exercise adherence is thus a key step towards the optimization of PR programs. To date, mostly indirect measures, such as rates of participation, completion, and attendance, have been used to determine adherence to PR. The purpose of the present protocol is to describe how continuous data tracking technology can be used to measure adherence to a prescribed aerobic training intensity on a second-by-second basis. In our investigations, adherence has been defined as the percent time spent within a specified target heart rate range. As such, using a combination of hardware and software, heart rate is measured, tracked, and recorded during cycling second-by-second for each participant, for each exercise session. Using statistical software, the data is subsequently extracted and analyzed. The same protocol can be applied to determine adherence to other measures of exercise intensity, such as time spent at a specified wattage, level, or speed on the cycle ergometer. Furthermore, the hardware and software is also available to measure adherence to other modes of training, such as the treadmill, elliptical, stepper, and arm ergometer. The present protocol, therefore, has a vast applicability to directly measure adherence to aerobic exercise. |
format | Online Article Text |
id | pubmed-4112652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41126522014-08-08 Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation Rizk, Amanda K. Wardini, Rima Chan-Thim, Emilie Trutschnigg, Barbara Forget, Amélie Pepin, Véronique J Vis Exp Medicine Pulmonary rehabilitation (PR) is an important component in the management of respiratory diseases. The effectiveness of PR is dependent upon adherence to exercise training recommendations. The study of exercise adherence is thus a key step towards the optimization of PR programs. To date, mostly indirect measures, such as rates of participation, completion, and attendance, have been used to determine adherence to PR. The purpose of the present protocol is to describe how continuous data tracking technology can be used to measure adherence to a prescribed aerobic training intensity on a second-by-second basis. In our investigations, adherence has been defined as the percent time spent within a specified target heart rate range. As such, using a combination of hardware and software, heart rate is measured, tracked, and recorded during cycling second-by-second for each participant, for each exercise session. Using statistical software, the data is subsequently extracted and analyzed. The same protocol can be applied to determine adherence to other measures of exercise intensity, such as time spent at a specified wattage, level, or speed on the cycle ergometer. Furthermore, the hardware and software is also available to measure adherence to other modes of training, such as the treadmill, elliptical, stepper, and arm ergometer. The present protocol, therefore, has a vast applicability to directly measure adherence to aerobic exercise. MyJove Corporation 2013-11-08 /pmc/articles/PMC4112652/ /pubmed/24300076 http://dx.doi.org/10.3791/50643 Text en Copyright © 2013, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Medicine Rizk, Amanda K. Wardini, Rima Chan-Thim, Emilie Trutschnigg, Barbara Forget, Amélie Pepin, Véronique Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title | Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title_full | Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title_fullStr | Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title_full_unstemmed | Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title_short | Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation |
title_sort | using continuous data tracking technology to study exercise adherence in pulmonary rehabilitation |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112652/ https://www.ncbi.nlm.nih.gov/pubmed/24300076 http://dx.doi.org/10.3791/50643 |
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