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      Blood Biomarker Profiling and Monitoring for High-Performance Physiology and Nutrition: Current Perspectives, Limitations and Recommendations

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          Abstract

          Blood test data were traditionally confined to the clinic for diagnostic purposes, but are now becoming more routinely used in many professional and elite high-performance settings as a physiological profiling and monitoring tool. A wealth of information based on robust research evidence can be gleaned from blood tests, including: the identification of iron, vitamin or energy deficiency; the identification of oxidative stress and inflammation; and the status of red blood cell populations. Serial blood test data can be used to monitor athletes and make inferences about the efficacy of training interventions, nutritional strategies or indeed the capacity to tolerate training load. Via a profiling and monitoring approach, blood biomarker measurement combined with contextual data has the potential to help athletes avoid injury and illness via adjustments to diet, training load and recovery strategies. Since wide inter-individual variability exists in many biomarkers, clinical population-based reference data can be of limited value in athletes, and statistical methods for longitudinal data are required to identify meaningful changes within an athlete. Data quality is often compromised by poor pre-analytic controls in sport settings. The biotechnology industry is rapidly evolving, providing new technologies and methods, some of which may be well suited to athlete applications in the future. This review provides current perspectives, limitations and recommendations for sports science and sports medicine practitioners using blood profiling and monitoring for nutrition and performance purposes.

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          Most cited references143

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          American College of Sports Medicine position stand. Exercise and fluid replacement.

          This Position Stand provides guidance on fluid replacement to sustain appropriate hydration of individuals performing physical activity. The goal of prehydrating is to start the activity euhydrated and with normal plasma electrolyte levels. Prehydrating with beverages, in addition to normal meals and fluid intake, should be initiated when needed at least several hours before the activity to enable fluid absorption and allow urine output to return to normal levels. The goal of drinking during exercise is to prevent excessive (>2% body weight loss from water deficit) dehydration and excessive changes in electrolyte balance to avert compromised performance. Because there is considerable variability in sweating rates and sweat electrolyte content between individuals, customized fluid replacement programs are recommended. Individual sweat rates can be estimated by measuring body weight before and after exercise. During exercise, consuming beverages containing electrolytes and carbohydrates can provide benefits over water alone under certain circumstances. After exercise, the goal is to replace any fluid electrolyte deficit. The speed with which rehydration is needed and the magnitude of fluid electrolyte deficits will determine if an aggressive replacement program is merited.
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            Monitoring Athlete Training Loads: Consensus Statement.

            Monitoring the load placed on athletes in both training and competition has become a very hot topic in sport science. Both scientists and coaches routinely monitor training loads using multidisciplinary approaches, and the pursuit of the best methodologies to capture and interpret data has produced an exponential increase in empirical and applied research. Indeed, the field has developed with such speed in recent years that it has given rise to industries aimed at developing new and novel paradigms to allow us to precisely quantify the internal and external loads placed on athletes and to help protect them from injury and ill health. In February 2016, a conference on "Monitoring Athlete Training Loads-The Hows and the Whys" was convened in Doha, Qatar, which brought together experts from around the world to share their applied research and contemporary practices in this rapidly growing field and also to investigate where it may branch to in the future. This consensus statement brings together the key findings and recommendations from this conference in a shared conceptual framework for use by coaches, sport-science and -medicine staff, and other related professionals who have an interest in monitoring athlete training loads and serves to provide an outline on what athlete-load monitoring is and how it is being applied in research and practice, why load monitoring is important and what the underlying rationale and prospective goals of monitoring are, and where athlete-load monitoring is heading in the future.
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              IOC consensus statement on relative energy deficiency in sport (RED-S): 2018 update

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                Author and article information

                Contributors
                +44 7725 243 739 , charles.pedlar@stmarys.ac.uk
                Journal
                Sports Med
                Sports Med
                Sports Medicine (Auckland, N.z.)
                Springer International Publishing (Cham )
                0112-1642
                1179-2035
                6 November 2019
                6 November 2019
                2019
                : 49
                : Suppl 2
                : 185-198
                Affiliations
                [1 ]GRID grid.417907.c, ISNI 0000 0004 5903 394X, Faculty of Sport, Health and Applied Science, , St Mary’s University, ; Twickenham, UK
                [2 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, Orreco, Business Innovation Unit, , National University of Ireland, ; Galway, Ireland
                [3 ]GRID grid.83440.3b, ISNI 0000000121901201, Division of Surgery and Interventional Science, , University College London (UCL), ; London, UK
                [4 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, Insight Centre for Data Analytics, , National University of Ireland, ; Galway, Ireland
                [5 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, School of Mathematics, Statistics and Applied Mathematics, , National University of Ireland, ; Galway, Ireland
                [6 ]GRID grid.493229.7, ISNI 0000 0004 0630 2536, English Institute of Sport, ; Bath, UK
                Author information
                http://orcid.org/0000-0002-3075-9101
                Article
                1158
                10.1007/s40279-019-01158-x
                6901403
                31691931
                85ed52a3-eb83-46de-ad44-d6e1aebb188b
                © 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
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004396, PepsiCo;
                Categories
                Review Article
                Custom metadata
                © Springer Nature Switzerland AG 2019

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