Progressive machine-based resistance training for prevention and treatment of sarcopenia in the oldest old: A systematic review and meta-analysis.


Journal

Experimental gerontology
ISSN: 1873-6815
Titre abrégé: Exp Gerontol
Pays: England
ID NLM: 0047061

Informations de publication

Date de publication:
15 06 2022
Historique:
received: 26 11 2021
revised: 02 03 2022
accepted: 11 03 2022
pubmed: 24 3 2022
medline: 4 5 2022
entrez: 23 3 2022
Statut: ppublish

Résumé

The muscle disease sarcopenia, which is characterised by a loss of muscle strength, muscle quantity, and physical performance, restricts mobility and independence in an ageing society. The aim of this systematic review and meta-analysis is to analyse the effects that long-term progressive resistance training interventions performed on weight machines have on sarcopenia (European Working Group on Sarcopenia in Older People) and how the interventions are composed. In total, 779 articles published between 2000 and 2020 were scanned (PubMed, Web of Science, CINAHL) and 14 randomised controlled trials were included within the review. Populations, interventions, control groups and outcomes were analysed. Subsequent meta-analysis (10 studies, 902 participants) revealed that the time needed in a chair-stand-test, as an indicator for leg strength, was predominantly reduced, whereas grip strength remained unchanged after the interventions. Data concerning the effects of machine-based progressive resistance training on muscle quantity were insufficient for meta-analysis. Physical performance measured by undergoing the Timed-Up-and-Go-test, gait speed test, Short Physical Performance Battery and 6 min-walk-test improved significantly as well. The quality of evidence (GRADE) in the analysed studies was low or moderate. In summary, machine-based progressive resistance training has the potential to reverse sarcopenia in the oldest old, as reflected by enhanced muscle strength and physical performance. The systematic review revealed promising initial results for muscle quantity.

Identifiants

pubmed: 35318104
pii: S0531-5565(22)00075-4
doi: 10.1016/j.exger.2022.111767
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

111767

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

E Mende (E)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany. Electronic address: Esther.Mende@mri.tum.de.

N Moeinnia (N)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

N Schaller (N)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

M Weiß (M)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

B Haller (B)

Institute of AI and Informatics in Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

M Halle (M)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany; DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.

M Siegrist (M)

Department of Prevention and Sports Medicine, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

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Classifications MeSH