41
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Physical exercise improves quality of life, depressive symptoms, and cognition across chronic brain disorders: a transdiagnostic systematic review and meta-analysis of randomized controlled trials

      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.

          Abstract

          We performed a meta-analysis to synthesize evidence on the efficacy and safety of physical exercise as an add-on therapeutic intervention for quality of life (QoL), depressive symptoms and cognition across six chronic brain disorders: Alzheimer’s disease, Huntington’s disease, multiple sclerosis, Parkinson’s disease, schizophrenia and unipolar depression. 122 studies ( =  k) ( n = 7231) were included. Exercise was superior to treatment as usual in improving QoL ( k = 64, n = 4334, ES = 0.40, p < 0.0001), depressive symptoms ( k = 60, n = 2909, ES = 0.78, p < 0.0001), the cognitive domains attention and working memory ( k = 21, n = 1313, ES = 0.24, p < 0.009), executive functioning ( k = 14, n = 977, ES = 0.15, p = 0.013), memory ( k = 12, n = 994, ES = 0.12, p = 0.038) and psychomotor speed ( k = 16, n = 896, ES = 0.23, p = 0.003). Meta-regression showed a dose–response effect for exercise time (min/week) on depressive symptoms ( β = 0.007, p = 0.012). 69% of the studies that reported on safety, found no complications. Exercise is an efficacious and safe add-on therapeutic intervention showing a medium-sized effect on QoL and a large effect on mood in patients with chronic brain disorders, with a positive dose–response correlation. Exercise also improved several cognitive domains with small but significant effects.

          Electronic supplementary material

          The online version of this article (10.1007/s00415-019-09493-9) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references254

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

          Measuring inconsistency in meta-analyses.

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

            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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

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

              Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision. In the eight pairs of meta-analysis and large trial that were identified (five from cardiovascular medicine, one from diabetic medicine, one from geriatric medicine, one from perinatal medicine) there were four concordant and four discordant pairs. In all cases discordance was due to meta-analyses showing larger effects. Funnel plot asymmetry was present in three out of four discordant pairs but in none of concordant pairs. In 14 (38%) journal meta-analyses and 5 (13%) Cochrane reviews, funnel plot asymmetry indicated that there was bias. A simple analysis of funnel plots provides a useful test for the likely presence of bias in meta-analyses, but as the capacity to detect bias will be limited when meta-analyses are based on a limited number of small trials the results from such analyses should be treated with considerable caution.
                Bookmark

                Author and article information

                Contributors
                m.dauwan@umcg.nl , m.dauwan-3@umcutrecht.nl , m.dauwan@vumc.nl
                m.j.h.begemann@umcutrecht.nl
                i.e.slot-3@umcutrecht.nl
                edwinlhm@hku.hk
                p.scheltens@vumc.nl
                i.e.c.sommer@umcg.nl
                Journal
                J Neurol
                J Neurol
                Journal of Neurology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-5354
                1432-1459
                14 August 2019
                14 August 2019
                2021
                : 268
                : 4
                : 1222-1246
                Affiliations
                [1 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Psychiatry, Brain Center Rudolf Magnus, , University Medical Center Utrecht, ; Postbus 85500, 3508 GA Utrecht, The Netherlands
                [2 ]GRID grid.16872.3a, ISNI 0000 0004 0435 165X, Department of Clinical Neurophysiology and MEG Center, , Amsterdam UMC, VU University Medical Center Amsterdam, Neuroscience Campus, ; Postbus 7057, 1007 MB Amsterdam, The Netherlands
                [3 ]Department of Psychiatry, 2/F, New Clinical Building, University of Hong Kong, Queen Mary Hospital, Hong Kong, China
                [4 ]GRID grid.484519.5, Alzheimer Center and Department of Neurology, , Neuroscience Campus Amsterdam, VU University Medical Center, ; Postbus 7057, 1007 MB Amsterdam, The Netherlands
                [5 ]GRID grid.4494.d, ISNI 0000 0000 9558 4598, Department of Biomedical Sciences of Cells and Systems Section, , University of Groningen, University Medical Center Groningen, Neuroimaging Center 3111, ; Deusinglaan 2, 9713 AW Groningen, The Netherlands
                [6 ]GRID grid.7914.b, ISNI 0000 0004 1936 7443, Department of Biological and Medical Psychology, Faculty of Psychology, , University of Bergen, ; Bergen, Norway
                Author information
                http://orcid.org/0000-0002-2646-8096
                Article
                9493
                10.1007/s00415-019-09493-9
                7990819
                31414194
                bec8fd47-8ee3-48ce-856c-bce6d078f396
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 19 March 2019
                : 29 July 2019
                : 30 July 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001826, zonmw;
                Award ID: 40-00812-98-13009
                Award Recipient :
                Categories
                Review
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Neurology
                alzheimer’s disease,multiple sclerosis,parkinson’s disease,depression,schizophrenia,physical exercise

                Comments

                Comment on this article