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Title:Effects of digital-based interventions on muscular strength in adults : a systematic review, meta-analysis and meta-regression of randomized controlled trials with quality of evidence assessment
Authors:ID Paravlić, Armin (Author)
ID Šlosar, Luka (Author)
ID Abazović, Ensar (Author)
ID Marušič, Uroš (Author)
Files:URL URL - Source URL, visit
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MD5: 3E081F5E3463844F4122AF4E278FD65B
Typology:1.02 - Review Article
Organization:Logo ZRS Koper - Science and Research Centre Koper
Abstract:Background: In the last three decades, both medical and sports science professionals have recognized the considerable potential of digital-based interventions (DBI) to enhance the health-related outcomes of their practitioners.Objectives: This study aimed to investigate the effectiveness and potential moderators of DBI on measures of muscular strength.Methods: Six databases (PubMed/MEDLINE, Web of Science, SportDiscus, Embase, Cochrane Register of Controlled Trials and Google Scholar) were searched for eligible studies up to June 2022. The GRADE, PEDRO, and TIDieR checklists were used to assess the quality of evidence, methodology, and completeness of intervention descriptions, respectively.Results: A total of 56 studies were included in the meta-analysis (n = 2346), and participants were classified as healthy (n = 918), stroke survivors (n = 572), diagnosed with other neurological disorders (n = 683), and frail (n = 173). The DBI showed a small effect (standardized mean difference [SMD] = 0.28, 95% CI 0.21 to 0.31; p < 0.001) on strength, regardless of the type of intervention, control group, or tested body part. More specifically, while splitting the studies into different subgroups, a meta-analysis of 19 studies (n = 918) showed a small effect (SMD = 0.38, 95% CI 0.12 to 0.63; p = 0.003) on strength in the asymptomatic population. Similarly, small but positive effects of DBI were observed for stroke survivors (SMD = 0.34, 95% CI 0.13 to 0.56; p = 0.002), patients diagnosed with other neurological disorders (SMD = 0.17, 95% CI 0.03 to 0.32; p = 0.021), and the frail population (SMD = 0.25, 95% CI 0.0 to 0.5; p = 0.051). Sub-group analysis and meta-regression revealed that neither variable modified the effects of the DBI on measures of strength.Conclusions: Overall, DBI may serve as an effective method to improve measures of strength in adults, regardless of their health status as well as the type of digital device, the presence of human-computer interaction, and the age of participants. In addition, the DBI was found to be more effective than traditional training or rehabilitation methods.
Keywords:cognitive training, physical function, strength, neurodegenerative disorders, older adults
Publication status in journal:Published
Article version:Publisher's version of article
Article acceptance date:24.06.2023
Publication date:15.07.2023
Year of publishing:2023
Number of pages:11 str.
Numbering:Vol. 55, no. 1, [article no. ] 2230886
PID:20.500.12556/DiRROS-16787 New window
ISSN on article:1365-2060
DOI:10.1080/07853890.2023.2230886 New window
COBISS.SI-ID:160758531 New window
Note:Nasl. z nasl. zaslona; Soavtorji: Luka Šlosar, Ensar Abazović, Uroš Marušič; Opis vira z dne 7. 8. 2023;
Publication date in DiRROS:07.08.2023
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Record is a part of a journal

Title:Annals of medicine
Shortened title:Ann. med.
Publisher:Taylor & Francis Ltd
COBISS.SI-ID:521184793 New window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P5-0381
Name:Kineziologija za kakovost življenja

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P5-0147
Name:Kineziologija monostrukturnih, polistrukturnih in konvencionalnih športov

Funder:EC - European Commission
Funding programme:H2020
Project number:952401
Name:TWINning the BRAIN with machine learning for neuro-muscular efficiency

Secondary language

Keywords:kognitivni trening, mišična moč, starejši odrasli, telesne funkcije