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Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial

Purpose: Physical and mental functions allow classifying older adults as “Go-Go” (independent functioning); “Slow-Go” (in need of care with a slight handicap); and “No-Go” (in need of care with severe functional limitation). The latter group exhibits reduced exercise tolerance. More recently technol...

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Autores principales: de Bruin, Eling D., Baur, Heiner, Brülhart, Yvonne, Luijckx, Eefje, Hinrichs, Timo, Rogan, Slavko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734185/
https://www.ncbi.nlm.nih.gov/pubmed/33330519
http://dx.doi.org/10.3389/fmed.2020.507155
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author de Bruin, Eling D.
Baur, Heiner
Brülhart, Yvonne
Luijckx, Eefje
Hinrichs, Timo
Rogan, Slavko
author_facet de Bruin, Eling D.
Baur, Heiner
Brülhart, Yvonne
Luijckx, Eefje
Hinrichs, Timo
Rogan, Slavko
author_sort de Bruin, Eling D.
collection PubMed
description Purpose: Physical and mental functions allow classifying older adults as “Go-Go” (independent functioning); “Slow-Go” (in need of care with a slight handicap); and “No-Go” (in need of care with severe functional limitation). The latter group exhibits reduced exercise tolerance. More recently technology-based motor-cognitive types of training services emerged as a possible training service. This study examined the use of technology including stochastic resonance whole-body vibration and Exergame-dance training for motor-cognitive training in care home dwelling adults. Methods: Seventeen older adults (10 women, 7 men, age range: 79–98) were randomly assigned to the intervention (IG, n = 9) or the sham group (SG, n = 8). IG performed five sets of 1-min whole-body vibration with 1-min rest in between, three times a week for the first 4 weeks of the training period with varying frequency. From weeks five to eight the Exergame-dance training was conducted after the vibration sessions. SG performed a stochastic resonance whole-body vibration training with the same terms applied, however, with a fixed frequency of 1 Hz, Noise 1. From weeks five to eight a passive trampoline-programme of 5 min was applied following the vibration sessions. Primary outcome was the Short Physical Performance Battery (SPPB). Secondary outcomes were the Trail Making Test A and B (TMT A & B) and the Falls Efficacy Scale–International (FES-I). Outcomes were measured at baseline, after 4 and 8 weeks of intervention and at follow-up (4 weeks after the intervention). The non-parametric Puri and Sen rank-order test was applied, followed by an ANOVA for repeated measures to analyse main and interaction effects. Mann–Whitney U-Test was used to determine differences between the groups. Results: The post-hoc analysis showed significant effects on the SPPB total score with large effect sizes from baseline to 8 weeks (+72%, p = 0.005, η(2) = 0.423). The TMT part B displayed significant improvements with large effect sizes from baseline to 8 weeks (+17.5%, p = 0.002, η(2) = 0.779) and to follow-up (+21%, p = 0.001, η(2) = 0.827). Conclusion: The technology based 8-week training programme consisting of a combination of stochastic resonance whole-body vibration and Exergame-dance training showed beneficial effects on both physical and cognitive performance in older care home dwelling adults.
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spelling pubmed-77341852020-12-15 Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial de Bruin, Eling D. Baur, Heiner Brülhart, Yvonne Luijckx, Eefje Hinrichs, Timo Rogan, Slavko Front Med (Lausanne) Medicine Purpose: Physical and mental functions allow classifying older adults as “Go-Go” (independent functioning); “Slow-Go” (in need of care with a slight handicap); and “No-Go” (in need of care with severe functional limitation). The latter group exhibits reduced exercise tolerance. More recently technology-based motor-cognitive types of training services emerged as a possible training service. This study examined the use of technology including stochastic resonance whole-body vibration and Exergame-dance training for motor-cognitive training in care home dwelling adults. Methods: Seventeen older adults (10 women, 7 men, age range: 79–98) were randomly assigned to the intervention (IG, n = 9) or the sham group (SG, n = 8). IG performed five sets of 1-min whole-body vibration with 1-min rest in between, three times a week for the first 4 weeks of the training period with varying frequency. From weeks five to eight the Exergame-dance training was conducted after the vibration sessions. SG performed a stochastic resonance whole-body vibration training with the same terms applied, however, with a fixed frequency of 1 Hz, Noise 1. From weeks five to eight a passive trampoline-programme of 5 min was applied following the vibration sessions. Primary outcome was the Short Physical Performance Battery (SPPB). Secondary outcomes were the Trail Making Test A and B (TMT A & B) and the Falls Efficacy Scale–International (FES-I). Outcomes were measured at baseline, after 4 and 8 weeks of intervention and at follow-up (4 weeks after the intervention). The non-parametric Puri and Sen rank-order test was applied, followed by an ANOVA for repeated measures to analyse main and interaction effects. Mann–Whitney U-Test was used to determine differences between the groups. Results: The post-hoc analysis showed significant effects on the SPPB total score with large effect sizes from baseline to 8 weeks (+72%, p = 0.005, η(2) = 0.423). The TMT part B displayed significant improvements with large effect sizes from baseline to 8 weeks (+17.5%, p = 0.002, η(2) = 0.779) and to follow-up (+21%, p = 0.001, η(2) = 0.827). Conclusion: The technology based 8-week training programme consisting of a combination of stochastic resonance whole-body vibration and Exergame-dance training showed beneficial effects on both physical and cognitive performance in older care home dwelling adults. Frontiers Media S.A. 2020-11-30 /pmc/articles/PMC7734185/ /pubmed/33330519 http://dx.doi.org/10.3389/fmed.2020.507155 Text en Copyright © 2020 de Bruin, Baur, Brülhart, Luijckx, Hinrichs and Rogan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
de Bruin, Eling D.
Baur, Heiner
Brülhart, Yvonne
Luijckx, Eefje
Hinrichs, Timo
Rogan, Slavko
Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title_full Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title_fullStr Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title_full_unstemmed Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title_short Combining Stochastic Resonance Vibration With Exergaming for Motor-Cognitive Training in Long-Term Care; A Sham-Control Randomized Controlled Pilot Trial
title_sort combining stochastic resonance vibration with exergaming for motor-cognitive training in long-term care; a sham-control randomized controlled pilot trial
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734185/
https://www.ncbi.nlm.nih.gov/pubmed/33330519
http://dx.doi.org/10.3389/fmed.2020.507155
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