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      Effects of Plyometric Training on Lower Body Muscle Architecture, Tendon Structure, Stiffness and Physical Performance: A Systematic Review and Meta-analysis

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          Abstract

          Background

          Plyometric training (PT) has been widely studied in sport science. However, there is no review that determines the impact of PT on the structural variables and mechanical properties of the lower limbs and physical performance.

          Objective

          The aim of this systematic review and meta-analysis was to determine the effects of PT on lower body muscle architecture, tendon structure, stiffness and physical performance.

          Methods

          Five electronic databases were analysed. The inclusion criteria were: (1) Availability in English; (2) Experimental studies that included a PT of at least eight sessions; and (3) Healthy adults subjects. Four meta-analyses were performed using Review Manager software: (1) muscle architecture; (2) tendon structure; (3) muscle and tendon stiffness; (4) physical performance.

          Results

          From 1008 search records, 32 studies were eligible for meta-analysis. Muscle architecture meta-analysis found a moderate effect of PT on muscle thickness (Standard Mean Difference (SMD): 0.59; [95% Confidence Interval (CI) 0.47, 0.71]) and fascicle length (SMD: 0.51; [95% CI 0.26, 0.76]), and a small effect of PT on pennation angle (SMD: 0.29; [95% CI 0.02, 0.57]). The meta-analysis found a moderate effect of PT on tendon stiffness (SMD: 0.55; [95% CI 0.28, 0.82]). The lower body physical performance meta-analysis found a moderate effect of PT on jumping (SMD: 0.61; [95% CI 0.47, 0.74]) and strength (SMD: 0.57; [95% CI 0.42, 0.73]).

          Conclusion

          PT increased the thickness, pennation angle and fascicle length of the evaluated muscles. In addition, plyometrics is an effective tool for increasing tendon stiffness and improving jump and strength performance of the lower body.

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          Most cited references126

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          Measuring inconsistency in meta-analyses.

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            The Measurement of Observer Agreement for Categorical Data

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              Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

              Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk-of-bias assessments that routinely take place as part of systematic review. However, tools such as the R programming environment and Shiny (an R package for building interactive web apps) have made it straightforward to produce new tools to help in producing evidence syntheses. We present a new tool, robvis (Risk-Of-Bias VISualization), available as an R package and web app, which facilitates rapid production of publication-quality risk-of-bias assessment figures. We present a timeline of the tool's development and its key functionality.
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                Author and article information

                Contributors
                maria.ramirez@uclm.es
                alfredo.bravo@uclm.es
                paula.estebangarc@gmail.com
                josefernando.jimenez@uclm.es
                javier.abian@uclm.es
                Journal
                Sports Med Open
                Sports Med Open
                Sports Medicine - Open
                Springer International Publishing (Cham )
                2199-1170
                2198-9761
                21 March 2022
                21 March 2022
                December 2022
                : 8
                : 40
                Affiliations
                GRID grid.8048.4, ISNI 0000 0001 2194 2329, Performance and Sport Rehabilitation Laboratory, Faculty of Sports Sciences, , University of Castilla-La Mancha, ; Avda. Carlos III S/N, 45071 Toledo, Spain
                Author information
                https://orcid.org/0000-0002-7898-1254
                https://orcid.org/0000-0002-0476-066X
                https://orcid.org/0000-0002-7690-9734
                https://orcid.org/0000-0002-5407-668X
                https://orcid.org/0000-0001-9635-3289
                Article
                431
                10.1186/s40798-022-00431-0
                8938535
                35312884
                0736abe0-cc5a-4cc6-a8c9-25fb91b42fb6
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/.

                History
                : 30 November 2021
                : 27 February 2022
                Categories
                Systematic Review
                Custom metadata
                © The Author(s) 2022

                jump training,physical activity,myotendinous adaptations,mechanical properties,strength

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