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Evaluation of physical health status beyond daily step count using a wearable activity sensor
Physical health status defines an individual’s ability to perform normal activities of daily living and is usually assessed in clinical settings by questionnaires and/or by validated tests, e.g. timed walk tests. These measurements have relatively low information content and are usually limited in f...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646807/ https://www.ncbi.nlm.nih.gov/pubmed/36352062 http://dx.doi.org/10.1038/s41746-022-00696-5 |
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author | Xu, Zheng Zahradka, Nicole Ip, Seyvonne Koneshloo, Amir Roemmich, Ryan T. Sehgal, Sameep Highland, Kristin B. Searson, Peter C. |
author_facet | Xu, Zheng Zahradka, Nicole Ip, Seyvonne Koneshloo, Amir Roemmich, Ryan T. Sehgal, Sameep Highland, Kristin B. Searson, Peter C. |
author_sort | Xu, Zheng |
collection | PubMed |
description | Physical health status defines an individual’s ability to perform normal activities of daily living and is usually assessed in clinical settings by questionnaires and/or by validated tests, e.g. timed walk tests. These measurements have relatively low information content and are usually limited in frequency. Wearable sensors, such as activity monitors, enable remote measurement of parameters associated with physical activity but have not been widely explored beyond measurement of daily step count. Here we report on results from a cohort of 22 individuals with Pulmonary Arterial Hypertension (PAH) who were provided with a Fitbit activity monitor (Fitbit Charge HR(®)) between two clinic visits (18.4 ± 12.2 weeks). At each clinical visit, a maximum of 26 measurements were recorded (19 categorical and 7 continuous). From analysis of the minute-to-minute step rate and heart rate we derive several metrics associated with physical activity and cardiovascular function. These metrics are used to identify subgroups within the cohort and to compare to clinical parameters. Several Fitbit metrics are strongly correlated to continuous clinical parameters. Using a thresholding approach, we show that many Fitbit metrics result in statistically significant differences in clinical parameters between subgroups, including those associated with physical status, cardiovascular function, pulmonary function, as well as biomarkers from blood tests. These results highlight the fact that daily step count is only one of many metrics that can be derived from activity monitors. |
format | Online Article Text |
id | pubmed-9646807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96468072022-11-15 Evaluation of physical health status beyond daily step count using a wearable activity sensor Xu, Zheng Zahradka, Nicole Ip, Seyvonne Koneshloo, Amir Roemmich, Ryan T. Sehgal, Sameep Highland, Kristin B. Searson, Peter C. NPJ Digit Med Article Physical health status defines an individual’s ability to perform normal activities of daily living and is usually assessed in clinical settings by questionnaires and/or by validated tests, e.g. timed walk tests. These measurements have relatively low information content and are usually limited in frequency. Wearable sensors, such as activity monitors, enable remote measurement of parameters associated with physical activity but have not been widely explored beyond measurement of daily step count. Here we report on results from a cohort of 22 individuals with Pulmonary Arterial Hypertension (PAH) who were provided with a Fitbit activity monitor (Fitbit Charge HR(®)) between two clinic visits (18.4 ± 12.2 weeks). At each clinical visit, a maximum of 26 measurements were recorded (19 categorical and 7 continuous). From analysis of the minute-to-minute step rate and heart rate we derive several metrics associated with physical activity and cardiovascular function. These metrics are used to identify subgroups within the cohort and to compare to clinical parameters. Several Fitbit metrics are strongly correlated to continuous clinical parameters. Using a thresholding approach, we show that many Fitbit metrics result in statistically significant differences in clinical parameters between subgroups, including those associated with physical status, cardiovascular function, pulmonary function, as well as biomarkers from blood tests. These results highlight the fact that daily step count is only one of many metrics that can be derived from activity monitors. Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9646807/ /pubmed/36352062 http://dx.doi.org/10.1038/s41746-022-00696-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xu, Zheng Zahradka, Nicole Ip, Seyvonne Koneshloo, Amir Roemmich, Ryan T. Sehgal, Sameep Highland, Kristin B. Searson, Peter C. Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title | Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title_full | Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title_fullStr | Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title_full_unstemmed | Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title_short | Evaluation of physical health status beyond daily step count using a wearable activity sensor |
title_sort | evaluation of physical health status beyond daily step count using a wearable activity sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646807/ https://www.ncbi.nlm.nih.gov/pubmed/36352062 http://dx.doi.org/10.1038/s41746-022-00696-5 |
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