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Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study

BACKGROUND: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and pred...

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Autores principales: Tasheva, Plamena, Kraege, Vanessa, Vollenweider, Peter, Roulet, Guillaume, Méan, Marie, Marques-Vidal, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532621/
https://www.ncbi.nlm.nih.gov/pubmed/33008378
http://dx.doi.org/10.1186/s12877-020-01763-w
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author Tasheva, Plamena
Kraege, Vanessa
Vollenweider, Peter
Roulet, Guillaume
Méan, Marie
Marques-Vidal, Pedro
author_facet Tasheva, Plamena
Kraege, Vanessa
Vollenweider, Peter
Roulet, Guillaume
Méan, Marie
Marques-Vidal, Pedro
author_sort Tasheva, Plamena
collection PubMed
description BACKGROUND: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness. METHODS: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as < 30 mg for inactivity, 30–99 mg for light and ≥ 100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 min/day in moderate PA. RESULTS: Median [interquartile range - IQR] age was 83 [74–87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518–663] and 63 [30–97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10–0.92] p = 0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR = 0.24 [0.06–0.89], p = 0.032. CONCLUSION: Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.
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spelling pubmed-75326212020-10-05 Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study Tasheva, Plamena Kraege, Vanessa Vollenweider, Peter Roulet, Guillaume Méan, Marie Marques-Vidal, Pedro BMC Geriatr Research Article BACKGROUND: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness. METHODS: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as < 30 mg for inactivity, 30–99 mg for light and ≥ 100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 min/day in moderate PA. RESULTS: Median [interquartile range - IQR] age was 83 [74–87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518–663] and 63 [30–97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10–0.92] p = 0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR = 0.24 [0.06–0.89], p = 0.032. CONCLUSION: Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven. BioMed Central 2020-10-02 /pmc/articles/PMC7532621/ /pubmed/33008378 http://dx.doi.org/10.1186/s12877-020-01763-w 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
Tasheva, Plamena
Kraege, Vanessa
Vollenweider, Peter
Roulet, Guillaume
Méan, Marie
Marques-Vidal, Pedro
Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title_full Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title_fullStr Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title_full_unstemmed Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title_short Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
title_sort accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532621/
https://www.ncbi.nlm.nih.gov/pubmed/33008378
http://dx.doi.org/10.1186/s12877-020-01763-w
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