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Kinematic analysis of activities of daily living performance in frail elderly

BACKGROUND: Frailty is accompanied by limitations of activities of daily living (ADL) and frequently associated with reduced quality of life, institutionalization, and higher health care costs. Despite the importance of ADL performance for the consequence of frailty, movement analyses based on kinem...

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Autores principales: Schmidle, Stephanie, Gulde, Philipp, Herdegen, Sophie, Böhme, Georg-Eike, Hermsdörfer, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943928/
https://www.ncbi.nlm.nih.gov/pubmed/35321645
http://dx.doi.org/10.1186/s12877-022-02902-1
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author Schmidle, Stephanie
Gulde, Philipp
Herdegen, Sophie
Böhme, Georg-Eike
Hermsdörfer, Joachim
author_facet Schmidle, Stephanie
Gulde, Philipp
Herdegen, Sophie
Böhme, Georg-Eike
Hermsdörfer, Joachim
author_sort Schmidle, Stephanie
collection PubMed
description BACKGROUND: Frailty is accompanied by limitations of activities of daily living (ADL) and frequently associated with reduced quality of life, institutionalization, and higher health care costs. Despite the importance of ADL performance for the consequence of frailty, movement analyses based on kinematic markers during the performance of complex upper extremity-based manual ADL tasks in frail elderly is still pending. The main objective of this study was to evaluate if ADL task performance of two different tasks in frail elderlies can be assessed by an activity measurement based on an acceleration sensor integrated into a smartwatch, and further to what degree kinematic parameters would be task independent. METHODS: ADL data was obtained from twenty-seven elderly participants (mean age 81.6 ± 7.0 years) who performed two ADL tasks. Acceleration data of the dominant hand was collected using a smartwatch. Participants were split up in three groups, F (frail, n = 6), P (pre-frail, n = 13) and R (robust, n = 8) according to a frailty screening. A variety of kinematic measures were calculated from the vector product reflecting activity, agility, smoothness, energy, and intensity. RESULTS: Measures of agility, smoothness, and intensity revealed significant differences between the groups (effect sizes combined over tasks η(2)(p) = 0.18 – 0.26). Smoothness was particularly affected by frailty in the tea making task, while activity, agility, a different smoothness parameter and two intensity measures were related to frailty in the gardening task. Four of nine parameters revealed good reliability over both tasks (r = 0.44 – 0.69). Multiple linear regression for the data combined across tasks showed that only the variability of the magnitude of acceleration peaks (agility) contributed to the prediction of the frailty score (R(2) = 0.25). CONCLUSION: The results demonstrate that ADL task performance can be assessed by smartwatch-based measures and further shows task-independent differences between the three levels of frailty. From the pattern of impaired and preserved performance parameters across the tested tasks, we concluded that in persons with frailty ADL performance was more impaired by physiological deficiencies, i.e., physical power and endurance, than by cognitive functioning or sensorimotor control.
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spelling pubmed-89439282022-03-25 Kinematic analysis of activities of daily living performance in frail elderly Schmidle, Stephanie Gulde, Philipp Herdegen, Sophie Böhme, Georg-Eike Hermsdörfer, Joachim BMC Geriatr Research BACKGROUND: Frailty is accompanied by limitations of activities of daily living (ADL) and frequently associated with reduced quality of life, institutionalization, and higher health care costs. Despite the importance of ADL performance for the consequence of frailty, movement analyses based on kinematic markers during the performance of complex upper extremity-based manual ADL tasks in frail elderly is still pending. The main objective of this study was to evaluate if ADL task performance of two different tasks in frail elderlies can be assessed by an activity measurement based on an acceleration sensor integrated into a smartwatch, and further to what degree kinematic parameters would be task independent. METHODS: ADL data was obtained from twenty-seven elderly participants (mean age 81.6 ± 7.0 years) who performed two ADL tasks. Acceleration data of the dominant hand was collected using a smartwatch. Participants were split up in three groups, F (frail, n = 6), P (pre-frail, n = 13) and R (robust, n = 8) according to a frailty screening. A variety of kinematic measures were calculated from the vector product reflecting activity, agility, smoothness, energy, and intensity. RESULTS: Measures of agility, smoothness, and intensity revealed significant differences between the groups (effect sizes combined over tasks η(2)(p) = 0.18 – 0.26). Smoothness was particularly affected by frailty in the tea making task, while activity, agility, a different smoothness parameter and two intensity measures were related to frailty in the gardening task. Four of nine parameters revealed good reliability over both tasks (r = 0.44 – 0.69). Multiple linear regression for the data combined across tasks showed that only the variability of the magnitude of acceleration peaks (agility) contributed to the prediction of the frailty score (R(2) = 0.25). CONCLUSION: The results demonstrate that ADL task performance can be assessed by smartwatch-based measures and further shows task-independent differences between the three levels of frailty. From the pattern of impaired and preserved performance parameters across the tested tasks, we concluded that in persons with frailty ADL performance was more impaired by physiological deficiencies, i.e., physical power and endurance, than by cognitive functioning or sensorimotor control. BioMed Central 2022-03-23 /pmc/articles/PMC8943928/ /pubmed/35321645 http://dx.doi.org/10.1186/s12877-022-02902-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Schmidle, Stephanie
Gulde, Philipp
Herdegen, Sophie
Böhme, Georg-Eike
Hermsdörfer, Joachim
Kinematic analysis of activities of daily living performance in frail elderly
title Kinematic analysis of activities of daily living performance in frail elderly
title_full Kinematic analysis of activities of daily living performance in frail elderly
title_fullStr Kinematic analysis of activities of daily living performance in frail elderly
title_full_unstemmed Kinematic analysis of activities of daily living performance in frail elderly
title_short Kinematic analysis of activities of daily living performance in frail elderly
title_sort kinematic analysis of activities of daily living performance in frail elderly
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943928/
https://www.ncbi.nlm.nih.gov/pubmed/35321645
http://dx.doi.org/10.1186/s12877-022-02902-1
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