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Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial

BACKGROUND: Optimal application of the recently updated World Health Organization (WHO) guidelines for exercise in advanced age necessitates an accurate adjustment for the age-related increasing variability in biological age and fitness levels, alongside detailed recommendations across a range of mo...

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Autores principales: Netz, Yael, Argov, Esther, Yekutieli, Ziv, Ayalon, Moshe, Tchelet, Keren, Ben-Sira, David, Amar, Yihya, Jacobs, Jeremy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547559/
https://www.ncbi.nlm.nih.gov/pubmed/34702168
http://dx.doi.org/10.1186/s12877-021-02559-2
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author Netz, Yael
Argov, Esther
Yekutieli, Ziv
Ayalon, Moshe
Tchelet, Keren
Ben-Sira, David
Amar, Yihya
Jacobs, Jeremy M.
author_facet Netz, Yael
Argov, Esther
Yekutieli, Ziv
Ayalon, Moshe
Tchelet, Keren
Ben-Sira, David
Amar, Yihya
Jacobs, Jeremy M.
author_sort Netz, Yael
collection PubMed
description BACKGROUND: Optimal application of the recently updated World Health Organization (WHO) guidelines for exercise in advanced age necessitates an accurate adjustment for the age-related increasing variability in biological age and fitness levels, alongside detailed recommendations across a range of motor fitness components, including balance, strength, and flexibility. We previously developed and validated a novel tool, designed to both remotely assess these fitness components, and subsequently deliver a personalized exercise program via smartphone. We describe the design of a prospective randomized control trial, comparing the effectiveness of the remotely delivered personalized multicomponent exercise program to either WHO exercise guidelines or no intervention. METHODS: Participants (n = 300) are community dwelling, healthy, functionally independent, cognitively intact volunteers aged ≥65 at low risk for serious fall injuries, assigned using permuted block randomization (age/gender) to intervention, active-control, or control group. The intervention is an 8-week program including individually tailored exercises for upper/lower body, flexibility, strength, and balance (dynamic, static, vestibular); active-controls receive exercising counselling according to WHO guidelines; controls receive no guidance. Primary outcome is participant fitness level, operationalized as 42 digital markers generated from 10 motor fitness measures (balance, strength, flexibility); measured at baseline, mid-trial (4-weeks), trial-end (8-weeks), and follow-up (12-weeks). Target sample size is 300 participants to provide 99% power for moderate and high effect sizes (Cohen’s f = 0.25, 0.40 respectively). DISCUSSION: The study will help understand the value of individualized motor fitness assessment used to generate personalized multicomponent exercise programs, delivered remotely among older adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04181983 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02559-2.
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spelling pubmed-85475592021-10-27 Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial Netz, Yael Argov, Esther Yekutieli, Ziv Ayalon, Moshe Tchelet, Keren Ben-Sira, David Amar, Yihya Jacobs, Jeremy M. BMC Geriatr Study Protocol BACKGROUND: Optimal application of the recently updated World Health Organization (WHO) guidelines for exercise in advanced age necessitates an accurate adjustment for the age-related increasing variability in biological age and fitness levels, alongside detailed recommendations across a range of motor fitness components, including balance, strength, and flexibility. We previously developed and validated a novel tool, designed to both remotely assess these fitness components, and subsequently deliver a personalized exercise program via smartphone. We describe the design of a prospective randomized control trial, comparing the effectiveness of the remotely delivered personalized multicomponent exercise program to either WHO exercise guidelines or no intervention. METHODS: Participants (n = 300) are community dwelling, healthy, functionally independent, cognitively intact volunteers aged ≥65 at low risk for serious fall injuries, assigned using permuted block randomization (age/gender) to intervention, active-control, or control group. The intervention is an 8-week program including individually tailored exercises for upper/lower body, flexibility, strength, and balance (dynamic, static, vestibular); active-controls receive exercising counselling according to WHO guidelines; controls receive no guidance. Primary outcome is participant fitness level, operationalized as 42 digital markers generated from 10 motor fitness measures (balance, strength, flexibility); measured at baseline, mid-trial (4-weeks), trial-end (8-weeks), and follow-up (12-weeks). Target sample size is 300 participants to provide 99% power for moderate and high effect sizes (Cohen’s f = 0.25, 0.40 respectively). DISCUSSION: The study will help understand the value of individualized motor fitness assessment used to generate personalized multicomponent exercise programs, delivered remotely among older adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04181983 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02559-2. BioMed Central 2021-10-26 /pmc/articles/PMC8547559/ /pubmed/34702168 http://dx.doi.org/10.1186/s12877-021-02559-2 Text en © The Author(s) 2021 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 Study Protocol
Netz, Yael
Argov, Esther
Yekutieli, Ziv
Ayalon, Moshe
Tchelet, Keren
Ben-Sira, David
Amar, Yihya
Jacobs, Jeremy M.
Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title_full Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title_fullStr Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title_full_unstemmed Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title_short Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
title_sort personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547559/
https://www.ncbi.nlm.nih.gov/pubmed/34702168
http://dx.doi.org/10.1186/s12877-021-02559-2
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