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      The Road to Gold: Training and Peaking Characteristics in the Year Prior to a Gold Medal Endurance Performance

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          Abstract

          Purpose

          To describe training variations across the annual cycle in Olympic and World Champion endurance athletes, and determine whether these athletes used tapering strategies in line with recommendations in the literature.

          Methods

          Eleven elite XC skiers and biathletes (4 male; 28±1 yr, 85±5 mL. min −1. kg −1 , 7 female, 25±4 yr, 73±3 mL. min −1. kg −1 ) reported one year of day-to-day training leading up to the most successful competition of their career. Training data were divided into periodization and peaking phases and distributed into training forms, intensity zones and endurance activity forms.

          Results

          Athletes trained ∼800 h/500 sessions.year −1, including ∼500 h. year −1 of sport-specific training. Ninety-four percent of all training was executed as aerobic endurance training. Of this, ∼90% was low intensity training (LIT, below the first lactate threshold) and 10% high intensity training (HIT, above the first lactate threshold) by time. Categorically, 23% of training sessions were characterized as HIT with primary portions executed at or above the first lactate turn point. Training volume and specificity distribution conformed to a traditional periodization model, but absolute volume of HIT remained stable across phases. However, HIT training patterns tended to become more polarized in the competition phase. Training volume, frequency and intensity remained unchanged from pre-peaking to peaking period, but there was a 32±15% (P<.01) volume reduction from the preparation period to peaking phase.

          Conclusions

          The annual training data for these Olympic and World champion XC skiers and biathletes conforms to previously reported training patterns of elite endurance athletes. During the competition phase, training became more sport-specific, with 92% performed as XC skiing. However, they did not follow suggested tapering practice derived from short-term experimental studies. Only three out of 11 athletes took a rest day during the final 5 days prior to their most successful competition.

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          Most cited references33

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          Physical and training characteristics of top-class marathon runners.

          This study compares the physical and training characteristics of top-class marathon runners (TC), i.e., runners having a personal best of less than 2 h 11 min for males and 2 h 32 min for females, respectively, versus high-level (HL) (< 2 h 16 min and < 2 h 38 min). Twenty marathon runners (five TC and HL in each gender) ran 10 km at their best marathon performance velocity (vMarathon) on a level road. This velocity was the target velocity for the Olympic trials they performed 8 wk later. After a rest of 6 min, they ran an all-out 1000-m run to determine the peak oxygen consumption on flat road (.VO(2peak)). Marathon performance time (MPT) was inversely correlated with .VO(2peak). (r = -0.73, P < 0.01) and predicted 59% of the variance of MPT. Moreover, TC male marathon runners were less economical because their energy cost of running (Cr) at marathon velocity was significantly higher than that of their counterparts (212 +/- 17 vs 195 +/- 14 mL.km(-1).kg(-1), P = 0.03). For females, no difference was observed for the energetic characteristics between TC and HL marathon runners. However, the velocity reached during the 1000-m run performed after the 10-km run at vMarathon was highly correlated with MPT (r = -0.85, P < 0.001). Concerning training differences, independent of the gender, TC marathon runners trained for more total kilometers per week and at a higher velocity (velocity over 3000 m and 10,000 m). The high energy output seems to be the discriminating factor for top-class male marathon runners who trained at higher relative intensities.
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            Effects of tapering on performance: a meta-analysis.

            The purpose of this investigation was to assess the effects of alterations in taper components on performance in competitive athletes, through a meta-analysis. Six databases were searched using relevant terms and strategies. Criteria for study inclusion were that participants must be competitive athletes, a tapering intervention must be employed providing details about the procedures used to decrease the training load, use of actual competition or field-based criterion performance, and inclusion of all necessary data to calculate effect sizes. Datasets reported in more than one published study were only included once in the present analyses. Twenty-seven of 182 potential studies met these criteria and were included in the analysis. The dependent variable was performance, and the independent variables were the decrease in training intensity, volume, and frequency, as well as the pattern of the taper and its duration. Pre-post taper standardized mean differences in performance were calculated and weighted according to the within-group heterogeneity to develop an overall effect. The optimal strategy to optimize performance is a tapering intervention of 2-wk duration (overall effect = 0.59 +/- 0.33, P < 0.001), where the training volume is exponentially decreased by 41-60% (overall effect = 0.72 +/- 0.36, P < 0.001), without any modification of either training intensity (overall effect = 0.33 +/- 0.14, P < 0.001) or frequency (overall effect = 0.35 +/- 0.17, P < 0.001). A 2-wk taper during which training volume is exponentially reduced by 41-60% seems to be the most efficient strategy to maximize performance gains. This meta-analysis provides a framework that can be useful for athletes, coaches, and sport scientists to optimize their tapering strategy.
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              Scientific bases for precompetition tapering strategies.

              The taper is a progressive nonlinear reduction of the training load during a variable period of time, in an attempt to reduce the physiological and psychological stress of daily training and optimize sports performance. The aim of the taper should be to minimize accumulated fatigue without compromising adaptations. This is best achieved by maintaining training intensity, reducing the training volume (up to 60-90%) and slightly reducing training frequency (no more than 20%). The optimal duration of the taper ranges between 4 and more than 28 d. Progressive nonlinear tapers are more beneficial to performance than step tapers. Performance usually improves by about 3% (usual range 0.5-6.0%), due to positive changes in the cardiorespiratory, metabolic, hematological, hormonal, neuromuscular, and psychological status of the athletes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                14 July 2014
                : 9
                : 7
                : e101796
                Affiliations
                [1 ]The Norwegian Olympic Federation, Oslo, Norway
                [2 ]Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
                [3 ]School of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, United Kingdom
                University of Maribor, Slovenia
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ET SS. Performed the experiments: EH IS ET ØS. Analyzed the data: ET ØS SS IS TH. Contributed reagents/materials/analysis tools: ET EH. Contributed to the writing of the manuscript: ET EH ØS SS IS TH.

                Article
                PONE-D-14-18599
                10.1371/journal.pone.0101796
                4096917
                25019608
                181b5a43-dc66-4cbd-b5a5-e8394f421ec7
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 April 2014
                : 10 June 2014
                Page count
                Pages: 13
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Cardiovascular Physiology
                Blood Circulation
                Respiratory Physiology
                Medicine and Health Sciences
                Sports and Exercise Medicine
                Exercise
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

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