10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Comparative efficacy of various exercise interventions on cognitive function in patients with mild cognitive impairment or dementia: A systematic review and network meta-analysis

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Highlights

          • This network meta-analysis compared the relative efficacy of different types of exercise interventions on cognitive function for patients with MCI or dementia.

          • Resistance exercise had the highest probability of being the optimal exercise therapy to slow cognitive decline, especially for patients with dementia.

          • Subgroup analyses revealed that multi-component exercise tended to be the most effective exercise therapy for preventing the decline of global cognition and executive function in patients with MCI, but only resistance exercise showed significant effects on memory function.

          Abstract

          Background

          Exercise is a promising nonpharmacological therapy for cognitive dysfunction, but it is unclear which type of exercise is most effective. The objective of this study was to compare and rank the effectiveness of various exercise interventions on cognitive function in patients with mild cognitive impairment (MCI) or dementia and to examine the effects of exercise on the symptoms relevant to cognitive impairment.

          Methods

          We searched PubMed, Web of Science, Embase, Cochrane Central Register of Controlled Trials, SPORTDiscus, and PsycInfo through September 2019 and included randomized controlled trials that examined the effectiveness of exercise interventions in patients with MCI or dementia. Primary outcomes included global cognition, executive cognition, and memory cognition. Secondary outcomes included activities of daily living, neuropsychiatric symptoms, and quality of life. Pairwise analyses and network meta-analyses were performed using a random effects model.

          Results

          A total of 73 articles from 71 trials with 5606 participants were included. All types of exercise were effective in increasing or maintaining global cognition, and resistance exercise had the highest probability of being the most effective intervention in slowing the decrease in global cognition (standard mean difference (SMD) = 1.05, 95% confidence interval (95%CI): 0.56−1.54), executive function (SMD = 0.85, 95%CI: 0.21−1.49), and memory function (SMD = 0.32, 95%CI: 0.01−0.63) in patients with cognitive dysfunction. Subgroup analyses for patients with MCI revealed different effects, and multicomponent exercise was most likely to be the optimal exercise therapy for preventing the decline of global cognition (SMD = 0.99, 95%CI: 0.44−1.54) and executive function (SMD = 0.72, 95%CI: 0.06−1.38). However, only resistance exercise showed significant effects on memory function for patients with MCI (SMD = 0.35, 95%CI: 0.01−0.69). Exercise interventions also showed various effects on the secondary outcomes.

          Conclusion

          Resistance exercise has the highest probability of being the optimal exercise type for slowing cognitive decline in patients with cognitive dysfunction, especially in patients with dementia. Multicomponent exercise tends to be most effective in protecting global cognition and executive function in patients with MCI.

          Graphical abstract

          Related collections

          Most cited references118

          • Record: found
          • Abstract: found
          • Article: not found

          Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.

          To present some simple graphical and quantitative ways to assist interpretation and improve presentation of results from multiple-treatment meta-analysis (MTM). We reanalyze a published network of trials comparing various antiplatelet interventions regarding the incidence of serious vascular events using Bayesian approaches for random effects MTM, and we explore the advantages and drawbacks of various traditional and new forms of quantitative displays and graphical presentations of results. We present the results under various forms, conventionally based on the mean of the distribution of the effect sizes; based on predictions; based on ranking probabilities; and finally, based on probabilities to be within an acceptable range from a reference. We show how to obtain and present results on ranking of all treatments and how to appraise the overall ranks. Bayesian methodology offers a multitude of ways to present results from MTM models, as it enables a natural and easy estimation of all measures based on probabilities, ranks, or predictions. Copyright © 2011 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study

            China has a large population of older people, but has not yet undertaken a comprehensive study on the prevalence, risk factors, and management of both dementia and mild cognitive impairment (MCI).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Network meta-analysis: an introduction for clinicians.

              Network meta-analysis is a technique for comparing multiple treatments simultaneously in a single analysis by combining direct and indirect evidence within a network of randomized controlled trials. Network meta-analysis may assist assessing the comparative effectiveness of different treatments regularly used in clinical practice and, therefore, has become attractive among clinicians. However, if proper caution is not taken in conducting and interpreting network meta-analysis, inferences might be biased. The aim of this paper is to illustrate the process of network meta-analysis with the aid of a working example on first-line medical treatment for primary open-angle glaucoma. We discuss the key assumption of network meta-analysis, as well as the unique considerations for developing appropriate research questions, conducting the literature search, abstracting data, performing qualitative and quantitative synthesis, presenting results, drawing conclusions, and reporting the findings in a network meta-analysis.
                Bookmark

                Author and article information

                Contributors
                Journal
                J Sport Health Sci
                J Sport Health Sci
                Journal of Sport and Health Science
                Shanghai University of Sport
                2095-2546
                2213-2961
                16 May 2021
                March 2022
                16 May 2021
                : 11
                : 2
                : 212-223
                Affiliations
                [a ]School of Nursing, Peking University, Beijing 100191, China
                [b ]Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ 85004, USA
                Author notes
                [* ]Corresponding author. qqwan05@ 123456163.com
                [†]

                These 2 authors contributed equally to this article.

                Article
                S2095-2546(21)00051-X
                10.1016/j.jshs.2021.05.003
                9068743
                34004389
                2cfa46d8-511c-4066-9a4c-8660b91385d3
                © 2021 Published by Elsevier B.V. on behalf of Shanghai University of Sport.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 23 November 2020
                : 16 February 2021
                : 15 March 2021
                Categories
                Review

                cognitive function,cognitive impairment,exercise,network meta-analysis

                Comments

                Comment on this article

                scite_

                Similar content404

                Cited by54

                Most referenced authors1,412