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Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise

INTRODUCTION: Exercise and nutrition are the best targets to tackle mobility issues in community-dwelling older adults. As exercise response relies on multiple factors, improving the understanding of their interactions is a necessity to tailor effective preventive strategies. Based on a prevention c...

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Autores principales: Delaire, Leo, Courtay, Aymeric, Fauvernier, Mathieu, Humblot, Joannès, Bonnefoy, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439386/
https://www.ncbi.nlm.nih.gov/pubmed/34531652
http://dx.doi.org/10.2147/CIA.S315112
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author Delaire, Leo
Courtay, Aymeric
Fauvernier, Mathieu
Humblot, Joannès
Bonnefoy, Marc
author_facet Delaire, Leo
Courtay, Aymeric
Fauvernier, Mathieu
Humblot, Joannès
Bonnefoy, Marc
author_sort Delaire, Leo
collection PubMed
description INTRODUCTION: Exercise and nutrition are the best targets to tackle mobility issues in community-dwelling older adults. As exercise response relies on multiple factors, improving the understanding of their interactions is a necessity to tailor effective preventive strategies. Based on a prevention care path designed for community-dwelling older adults with mobility disability risk, our main goal was to determine the predictive factors of the response to a multimodal intervention, combining structured exercise training and nutritional counselling. Thus, this study aimed to tailor prevention programs for non-responder participants. METHODS: We analyzed the response of participants to a prevention program and built a multivariate predictive model to highlight the profile of the best responders. The model was based on the likelihood of at least 1 point of short physical performance battery (SPPB) score gain. Inclusion criteria were being aged ≥70 years and having completed a multicomponent group-based supervised training consisting of 20 sessions (10 weeks). RESULTS: A total of 103 participants were included, their mean ± SD age was 81.9 ± 5.7 years. The model demonstrated interactions between baseline SPPB score (OR=0.42; p < 0.001), body mass index (BMI; OR=0.82; p=0.003), and grip strength value (OR=1.15; p=0.008). The highest probability of response was found for participants with low SPPB, normal BMI (21 kg/m(2)), and high grip strength (27 kg). CONCLUSION: This study demonstrated that the response to a multimodal intervention in community-dwelling older adults with mobility disability risk was influenced by the baseline SPPB score, BMI, and grip strength value. To increase the proportion of responders, strategies that could be more effective include constituting more homogenous group, and implementing a specific approach for obese sarcopenic older adults and those with low grip strength by increasing the dose of physical activity and monitoring endurance and mobility activities between sessions. Our results provide important consideration for the development of targeted-interventions.
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spelling pubmed-84393862021-09-15 Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise Delaire, Leo Courtay, Aymeric Fauvernier, Mathieu Humblot, Joannès Bonnefoy, Marc Clin Interv Aging Original Research INTRODUCTION: Exercise and nutrition are the best targets to tackle mobility issues in community-dwelling older adults. As exercise response relies on multiple factors, improving the understanding of their interactions is a necessity to tailor effective preventive strategies. Based on a prevention care path designed for community-dwelling older adults with mobility disability risk, our main goal was to determine the predictive factors of the response to a multimodal intervention, combining structured exercise training and nutritional counselling. Thus, this study aimed to tailor prevention programs for non-responder participants. METHODS: We analyzed the response of participants to a prevention program and built a multivariate predictive model to highlight the profile of the best responders. The model was based on the likelihood of at least 1 point of short physical performance battery (SPPB) score gain. Inclusion criteria were being aged ≥70 years and having completed a multicomponent group-based supervised training consisting of 20 sessions (10 weeks). RESULTS: A total of 103 participants were included, their mean ± SD age was 81.9 ± 5.7 years. The model demonstrated interactions between baseline SPPB score (OR=0.42; p < 0.001), body mass index (BMI; OR=0.82; p=0.003), and grip strength value (OR=1.15; p=0.008). The highest probability of response was found for participants with low SPPB, normal BMI (21 kg/m(2)), and high grip strength (27 kg). CONCLUSION: This study demonstrated that the response to a multimodal intervention in community-dwelling older adults with mobility disability risk was influenced by the baseline SPPB score, BMI, and grip strength value. To increase the proportion of responders, strategies that could be more effective include constituting more homogenous group, and implementing a specific approach for obese sarcopenic older adults and those with low grip strength by increasing the dose of physical activity and monitoring endurance and mobility activities between sessions. Our results provide important consideration for the development of targeted-interventions. Dove 2021-09-10 /pmc/articles/PMC8439386/ /pubmed/34531652 http://dx.doi.org/10.2147/CIA.S315112 Text en © 2021 Delaire et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Delaire, Leo
Courtay, Aymeric
Fauvernier, Mathieu
Humblot, Joannès
Bonnefoy, Marc
Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title_full Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title_fullStr Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title_full_unstemmed Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title_short Integrating a Prevention Care Path into the Daily Life of Older Adults with Mobility Disability Risk: Introducing a Predictive Response Model to Exercise
title_sort integrating a prevention care path into the daily life of older adults with mobility disability risk: introducing a predictive response model to exercise
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439386/
https://www.ncbi.nlm.nih.gov/pubmed/34531652
http://dx.doi.org/10.2147/CIA.S315112
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