Kinematic analysis of activities of daily living performance in frail elderly.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
23 03 2022
Historique:
received: 02 08 2021
accepted: 04 03 2022
entrez: 24 3 2022
pubmed: 25 3 2022
medline: 16 4 2022
Statut: epublish

Résumé

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. 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. Measures of agility, smoothness, and intensity revealed significant differences between the groups (effect sizes combined over tasks η 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.

Sections du résumé

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
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.

Identifiants

pubmed: 35321645
doi: 10.1186/s12877-022-02902-1
pii: 10.1186/s12877-022-02902-1
pmc: PMC8943928
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

244

Informations de copyright

© 2022. The Author(s).

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Auteurs

Stephanie Schmidle (S)

Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany. stephanie.schmidle@tum.de.

Philipp Gulde (P)

Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Center for Clinical Neuroplasticity Medical Park Loipl, Bischofswiesen, Germany.

Sophie Herdegen (S)

Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.

Georg-Eike Böhme (GE)

Lehelmed GmbH General Practitioners Lehel and Medical Center Motorworld, Munich, Germany.

Joachim Hermsdörfer (J)

Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.

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Classifications MeSH