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New strategies of physical activity assessment in cystic fibrosis: a pilot study
BACKGROUND: Regular physical activity (PA) is a valued part of cystic fibrosis (CF) care. Although the accelerometer, SenseWear Armband (SWA), accurately measures habitual PA in CF, it is mostly used for research purposes. For the first time, we analyzed different methods of measuring PA in daily li...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599110/ https://www.ncbi.nlm.nih.gov/pubmed/33126875 http://dx.doi.org/10.1186/s12890-020-01313-5 |
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author | Savi, Daniela Graziano, Luigi Giordani, Barbara Schiavetto, Stefano Vito, Corrado De Migliara, Giuseppe Simmonds, Nicholas J. Palange, Paolo Elborn, J. Stuart |
author_facet | Savi, Daniela Graziano, Luigi Giordani, Barbara Schiavetto, Stefano Vito, Corrado De Migliara, Giuseppe Simmonds, Nicholas J. Palange, Paolo Elborn, J. Stuart |
author_sort | Savi, Daniela |
collection | PubMed |
description | BACKGROUND: Regular physical activity (PA) is a valued part of cystic fibrosis (CF) care. Although the accelerometer, SenseWear Armband (SWA), accurately measures habitual PA in CF, it is mostly used for research purposes. For the first time, we analyzed different methods of measuring PA in daily life by the use of smartphones and other electronic devices such as smartwatch and Fitbit. METHODS: Twenty-four stable adults with CF (mean age 37.5 ± 11.5SD yrs.; FEV(1) 58 ± 19% predicted, BMI 22.9 ± 3.2) were studied. Daily PA was monitored for seven consecutive days. All patients wore the accelerometer SWA and at the same time they monitored PA with the electronic device they used routinely. They were allocated into one of four arms according to their device: Smartwatch, Fitbit, Android smartphones and iOS smartphones. PA related measurements included: duration of PA, energy expenditure, number of steps. RESULTS: There was a good agreement between SWA and Fitbit for number of steps (p = 0.605) and energy expenditure (p = 0.143). iOS smartphones were similar to SWA in monitoring the number of steps (p = 0.911). Significant differences were found between SWA and both Smartwatch and Android smartphones. CONCLUSIONS: Fitbit and iOS smartphones seem to be a valuable approach to monitor daily PA. They provide a good performance to measure step number compared to SWA. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12890-020-01313-5. |
format | Online Article Text |
id | pubmed-7599110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75991102020-11-02 New strategies of physical activity assessment in cystic fibrosis: a pilot study Savi, Daniela Graziano, Luigi Giordani, Barbara Schiavetto, Stefano Vito, Corrado De Migliara, Giuseppe Simmonds, Nicholas J. Palange, Paolo Elborn, J. Stuart BMC Pulm Med Research Article BACKGROUND: Regular physical activity (PA) is a valued part of cystic fibrosis (CF) care. Although the accelerometer, SenseWear Armband (SWA), accurately measures habitual PA in CF, it is mostly used for research purposes. For the first time, we analyzed different methods of measuring PA in daily life by the use of smartphones and other electronic devices such as smartwatch and Fitbit. METHODS: Twenty-four stable adults with CF (mean age 37.5 ± 11.5SD yrs.; FEV(1) 58 ± 19% predicted, BMI 22.9 ± 3.2) were studied. Daily PA was monitored for seven consecutive days. All patients wore the accelerometer SWA and at the same time they monitored PA with the electronic device they used routinely. They were allocated into one of four arms according to their device: Smartwatch, Fitbit, Android smartphones and iOS smartphones. PA related measurements included: duration of PA, energy expenditure, number of steps. RESULTS: There was a good agreement between SWA and Fitbit for number of steps (p = 0.605) and energy expenditure (p = 0.143). iOS smartphones were similar to SWA in monitoring the number of steps (p = 0.911). Significant differences were found between SWA and both Smartwatch and Android smartphones. CONCLUSIONS: Fitbit and iOS smartphones seem to be a valuable approach to monitor daily PA. They provide a good performance to measure step number compared to SWA. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12890-020-01313-5. BioMed Central 2020-10-30 /pmc/articles/PMC7599110/ /pubmed/33126875 http://dx.doi.org/10.1186/s12890-020-01313-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Savi, Daniela Graziano, Luigi Giordani, Barbara Schiavetto, Stefano Vito, Corrado De Migliara, Giuseppe Simmonds, Nicholas J. Palange, Paolo Elborn, J. Stuart New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title | New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title_full | New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title_fullStr | New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title_full_unstemmed | New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title_short | New strategies of physical activity assessment in cystic fibrosis: a pilot study |
title_sort | new strategies of physical activity assessment in cystic fibrosis: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599110/ https://www.ncbi.nlm.nih.gov/pubmed/33126875 http://dx.doi.org/10.1186/s12890-020-01313-5 |
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