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      Collision activity during training increases total energy expenditure measured via doubly labelled water

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          Abstract

          Purpose

          Collision sports are characterised by frequent high-intensity collisions that induce substantial muscle damage, potentially increasing the energetic cost of recovery. Therefore, this study investigated the energetic cost of collision-based activity for the first time across any sport.

          Methods

          Using a randomised crossover design, six professional young male rugby league players completed two different 5-day pre-season training microcycles. Players completed either a collision (COLL; 20 competitive one-on-one collisions) or non-collision (nCOLL; matched for kinematic demands, excluding collisions) training session on the first day of each microcycle, exactly 7 days apart. All remaining training sessions were matched and did not involve any collision-based activity. Total energy expenditure was measured using doubly labelled water, the literature gold standard.

          Results

          Collisions resulted in a very likely higher (4.96 ± 0.97 MJ; ES = 0.30 ± 0.07; p = 0.0021) total energy expenditure across the 5-day COLL training microcycle (95.07 ± 16.66 MJ) compared with the nCOLL training microcycle (90.34 ± 16.97 MJ). The COLL training session also resulted in a very likely higher (200 ± 102 AU; ES = 1.43 ± 0.74; p = 0.007) session rating of perceived exertion and a very likely greater (− 14.6 ± 3.3%; ES = − 1.60 ± 0.51; p = 0.002) decrease in wellbeing 24 h later.

          Conclusions

          A single collision training session considerably increased total energy expenditure. This may explain the large energy expenditures of collision-sport athletes, which appear to exceed kinematic training and match demands. These findings suggest fuelling professional collision-sport athletes appropriately for the “muscle damage caused” alongside the kinematic “work required”.

          Electronic supplementary material

          The online version of this article (10.1007/s00421-018-3846-7) contains supplementary material, which is available to authorized users.

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          Most cited references38

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Progressive statistics for studies in sports medicine and exercise science.

            Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM, to better communicate the magnitude of differences in means and nonuniformity of error; avoiding purely nonparametric analyses, which cannot provide inferences about magnitude and are unnecessary; using regression statistics in validity studies, in preference to the impractical and biased limits of agreement; making greater use of qualitative methods to enrich sample-based quantitative projects; and seeking ethics approval for public access to the depersonalized raw data of a study, to address the need for more scrutiny of research and better meta-analyses. Advice on less contentious issues includes the following: using covariates in linear models to adjust for confounders, to account for individual differences, and to identify potential mechanisms of an effect; using log transformation to deal with nonuniformity of effects and error; identifying and deleting outliers; presenting descriptive, effect, and inferential statistics in appropriate formats; and contending with bias arising from problems with sampling, assignment, blinding, measurement error, and researchers' prejudices. This article should advance the field by stimulating debate, promoting innovative approaches, and serving as a useful checklist for authors, reviewers, and editors.
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              The IOC consensus statement: beyond the Female Athlete Triad--Relative Energy Deficiency in Sport (RED-S).

              Protecting the health of the athlete is a goal of the International Olympic Committee (IOC). The IOC convened an expert panel to update the 2005 IOC Consensus Statement on the Female Athlete Triad. This Consensus Statement replaces the previous and provides guidelines to guide risk assessment, treatment and return-to-play decisions. The IOC expert working group introduces a broader, more comprehensive term for the condition previously known as 'Female Athlete Triad'. The term 'Relative Energy Deficiency in Sport' (RED-S), points to the complexity involved and the fact that male athletes are also affected. The syndrome of RED-S refers to impaired physiological function including, but not limited to, metabolic rate, menstrual function, bone health, immunity, protein synthesis, cardiovascular health caused by relative energy deficiency. The cause of this syndrome is energy deficiency relative to the balance between dietary energy intake and energy expenditure required for health and activities of daily living, growth and sporting activities. Psychological consequences can either precede RED-S or be the result of RED-S. The clinical phenomenon is not a 'triad' of the three entities of energy availability, menstrual function and bone health, but rather a syndrome that affects many aspects of physiological function, health and athletic performance. This Consensus Statement also recommends practical clinical models for the management of affected athletes. The 'Sport Risk Assessment and Return to Play Model' categorises the syndrome into three groups and translates these classifications into clinical recommendations.
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                Author and article information

                Contributors
                (0044) 7837367874 , N.Costello@leedsbeckett.ac.uk
                K.Deighton@leedsbeckett.ac.uk
                Tom.Preston@glasgow.ac.uk
                J.Matu@leedsbeckett.ac.uk
                Joshua.Rowe@leedsbeckett.ac.uk
                T.Sawczuk@leedsbeckett.ac.uk
                Matt.halkier@leedsrugby.com
                D.Read@leedsbeckett.ac.uk
                D.A.Weaving@leedsbeckett.ac.uk
                B.Jones@leedsbeckett.ac.uk
                Journal
                Eur J Appl Physiol
                Eur. J. Appl. Physiol
                European Journal of Applied Physiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1439-6319
                1439-6327
                22 March 2018
                22 March 2018
                2018
                : 118
                : 6
                : 1169-1177
                Affiliations
                [1 ]ISNI 0000 0001 0745 8880, GRID grid.10346.30, Carnegie School of Sport, Institute for Sport, Physical Activity and Leisure, , Leeds Beckett University, ; Leeds, UK
                [2 ]Leeds Rhinos RLFC, Leeds, UK
                [3 ]ISNI 0000 0000 9762 0345, GRID grid.224137.1, Stable Isotope Biochemistry Laboratory, , Scottish Universities Environmental Research Centre, ; Rankine Avenue, Scottish Enterprise Technology Park, East Kilbride, Scotland UK
                [4 ]Queen Ethelburga’s School, York, UK
                [5 ]Yorkshire Carnegie RUFC, Leeds, UK
                [6 ]The Rugby Football League, Leeds, UK
                Author notes

                Communicated by Guido Ferretti.

                Author information
                http://orcid.org/0000-0002-6046-7986
                http://orcid.org/0000-0001-7994-2137
                http://orcid.org/0000-0002-0204-2197
                http://orcid.org/0000-0001-6367-0261
                http://orcid.org/0000-0002-4348-9681
                http://orcid.org/0000-0002-5145-8922
                Article
                3846
                10.1007/s00421-018-3846-7
                5966477
                29569055
                d2be9f44-1d8a-4b7b-827f-34fba39c22ec
                © The Author(s) 2018

                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
                : 23 October 2017
                : 13 March 2018
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2018

                Anatomy & Physiology
                nutrition,recovery,contact,rugby
                Anatomy & Physiology
                nutrition, recovery, contact, rugby

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