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      The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis

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          Abstract

          Objective

          To explore the impact of the digital implementation of the Otago Exercise Program (OEP) on balance ability (static and dynamic), muscle strength, and fall efficacy in elderly people; and analyze different potential influencing factors in subgroups to find the most suitable training plan.

          Methods

          EBSCO, PubMed, Web of Science, and China Knowledge Network databases (core) were searched up to August 1, 2023. Experimental studies of implementing OEP based on digital technology to improve outcomes related to falls in the elderly were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect of balance ability (static and dynamic), muscle strength, and fall efficacy using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (e.g., training period, frequency, duration, age).

          Results

          Twelve articles were included from the literature, including 10 randomized controlled trials, one single-group quasi-experimental study, and one case report. Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). The implementation of OEP based on digital technology showed significantly improved on static balance (SMD = 0.86, 95% CI 0.35–1.37), dynamic balance (SMD = 1.07, 95% CI 0.90–1.24), muscular strength (SMD = 0.43, 95% CI 0.17–0.69), and fall efficacy (SMD=-0.70, 95% CI -0.98, -0.41); Subgroup analysis by period ‘≥12 weeks’, frequency ‘≥3 times/week’, and duration ‘≤45 minutes per session’, respectively, showed significant improvements on static balance (SMD = 0.73, 95% CI 0.21–1.25; SMD = 0.86, 95% CI 0.35–1.37; SMD = 1.10, 95% CI 0.31–1.89), dynamic balance (SMD = 1.08, 95% CI 0.88–1.28; SMD = 1.01, 95% CI 0.93–1.27; SMD = 1.07, 95% CI 0.89–1.25), muscle strength (SMD = 0.43, 95% CI 0.10–0.75; SMD = 0.54, 95% CI 0.30–0.77; SMD = 0.53, 95% CI 0.19–0.87), and fall efficacy (SMD=-0.75, 95% CI -1.39, -0.11; SMD=-0.70, 95% CI -0.98, -0.41; SMD=-0.74, 95% CI -1.10, -0.39).

          Conclusions

          OEP implemented through digital technology effectively enhances static and dynamic balance, muscle strength, and self-efficacy in older adults. A training regimen of 12 weeks or more, with sessions occurring three or more times per week for 30 to 45 min, appears to be an effective approach for improving these outcomes based on the available evidence from the included studies. Future research should prioritize specific digital technologies and target populations, employing high-quality research designs to further explore these interventions, and consider new technologies such as wearables, to assess changes in fall prevalence.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-024-21251-9.

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          Most cited references47

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          Bias in meta-analysis detected by a simple, graphical test

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

              David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses
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                Author and article information

                Contributors
                woohua@live.com
                wrh_01@163.com
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                7 January 2025
                7 January 2025
                2025
                : 25
                : 71
                Affiliations
                [1 ]School of Sport Science, Beijing Sport University, ( https://ror.org/03w0k0x36) No. 48 Xinxi Road, Haidian District, Beijing, China
                [2 ]School of Physical Education, Nanchang University, ( https://ror.org/042v6xz23) Nanchang, China
                [3 ]Key Laboratory of the Ministry of Education of Exercise and Physical Fitness, Beijing Sport University, ( https://ror.org/03w0k0x36) Beijing, China
                [4 ]Rehabilitation Medicine Center, The Second Affiliated Hospital of Jiaxing University, ( https://ror.org/00j2a7k55) No.1518 North Huan Cheng Road, Nanhu District, Jiaxing, China
                [5 ]School of Physical Education, Qingdao University, ( https://ror.org/021cj6z65) Qingdao, China
                Article
                21251
                10.1186/s12889-024-21251-9
                11707927
                39773392
                fb0a3778-d878-4dce-afad-ac3ac73dba99
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

                History
                : 24 February 2024
                : 30 December 2024
                Funding
                Funded by: the National Social Science Fund of China
                Award ID: Grant No. 21BTY088
                Funded by: Zhejiang Provincial Science and Technology Department major research and development project
                Award ID: 2022C03177
                Funded by: Jiaxing major science and technology project
                Award ID: 2022AY30007
                Categories
                Systematic Review
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2025

                Public health
                digital technology,otago exercise program,seniors,balance,muscle strength,fall efficacy
                Public health
                digital technology, otago exercise program, seniors, balance, muscle strength, fall efficacy

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