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      Overestimation of maximal aerobic speed by the Université de Montréal track test and a 1500-m-time trial in soccer

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          Abstract

          Introduction: Maximal aerobic speed (MAS), usually measured by cardiopulmonary exercise testing (CPET) on a treadmill, is gaining popularity in soccer to determine aerobic performance. Several field tests are used to estimate MAS, although, gold standard methods are still not clarified. Therefore, this work aims 1) to compare two different CPET based methods to assess MAS and 2) to investigate the convergent validity of two common field tests to estimate MAS in soccer.

          Methods: Thirteen trained male soccer players completed an CPET on a treadmill to determine two VO 2-kinetic based definitions of MAS (MAS Plateau = speed at onset of VO 2-plateau = gold standard; MAS 30s = first speed of 30-s-interval of VO 2max), the Université de Montreal Track Test (UMTT; V UMTT = speed of the last stage), and a 1500-m-time trial (1500-m-TT; V 1500m = average speed). MAS Plateau, MAS 30s, V UMTT, and V 1500m were compared using ANOVA. Additionally, limits of agreement analysis (LoA), Pearson’s r, and ICC were calculated between tests.

          Results: MAS 30s, V UMTT, and V 1500m significantly overestimated MAS Plateau by 0.99 km/h (ES = 1.61; p < 0.01), 1.61 km/h (ES = 2.03; p < 0.01) and 1.68 km/h (ES = 1.77; p < 0.01), respectively, with large LoA (-0.21 ≤ LoA≤3.55), however with large-to-very large correlations (0.65 ≤ r ≤ 0.87; p ≤ 0.02; 0.51 ≤ ICC≤ 0.85; p ≤ 0.03).

          Discussion: The overestimation and large LoA of MAS Plateau by all estimates indicate that 1) a uniform definition of MAS is needed and 2) the UMTT and a 1500-m-TT seem questionable for estimating MAS for trained soccer players on an individual basis, while regression equations might be suitable on a team level. The results of the present work contribute to the clarification of acquisition of MAS in soccer.

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          Most cited references44

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          Measurement in Medicine: The Analysis of Method Comparison Studies

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            Defining Training and Performance Caliber: A Participant Classification Framework

            Throughout the sport-science and sports-medicine literature, the term “elite” subjects might be one of the most overused and ill-defined terms. Currently, there is no common perspective or terminology to characterize the caliber and training status of an individual or cohort. This paper presents a 6-tiered Participant Classification Framework whereby all individuals across a spectrum of exercise backgrounds and athletic abilities can be classified. The Participant Classification Framework uses training volume and performance metrics to classify a participant to one of the following: Tier 0: Sedentary; Tier 1: Recreationally Active; Tier 2: Trained/Developmental; Tier 3: Highly Trained/National Level; Tier 4: Elite/International Level; or Tier 5: World Class. We suggest the Participant Classification Framework can be used to classify participants both prospectively (as part of study participant recruitment) and retrospectively (during systematic reviews and/or meta-analyses). Discussion around how the Participant Classification Framework can be tailored toward different sports, athletes, and/or events has occurred, and sport-specific examples provided. Additional nuances such as depth of sport participation, nationality differences, and gender parity within a sport are all discussed. Finally, chronological age with reference to the junior and masters athlete, as well as the Paralympic athlete, and their inclusion within the Participant Classification Framework has also been considered. It is our intention that this framework be widely implemented to systematically classify participants in research featuring exercise, sport, performance, health, and/or fitness outcomes going forward, providing the much-needed uniformity to classification practices.
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              The multistage 20 metre shuttle run test for aerobic fitness.

              A maximal multistage 20 m shuttle run test was designed to determine the maximal aerobic power of schoolchildren, healthy adults attending fitness class and athletes performing in sports with frequent stops and starts (e.g. basketball, fencing and so on). Subjects run back and forth on a 20 m course and must touch the 20 m line; at the same time a sound signal is emitted from a prerecorded tape. Frequency of the sound signals is increased 0.5 km h-1 each minute from a starting speed of 8.5 km h-1. When the subject can no longer follow the pace, the last stage number announced is used to predict maximal oxygen uptake (VO2max) (Y, ml kg-1 min-1) from the speed (X, km h-1) corresponding to that stage (speed = 8 + 0.5 stage no.) and age (A, year): Y = 31.025 + 3.238 X - 3.248A + 0.1536AX, r = 0.71 with 188 boys and girls aged 8-19 years. To obtain this regression, the test was performed individually. Right upon termination VO2 was measured with four 20 s samples and VO2max was estimated by retroextrapolating the O2 recovery curve at time zero of recovery. For adults, similar measurements indicated that the same equation could be used keeping age constant at 18 (r = 0.90, n = 77 men and women 18-50 years old). Test-retest reliability coefficients were 0.89 for children (139 boys and girls 6-16 years old) and 0.95 for adults (81 men and women, 20-45 years old).(ABSTRACT TRUNCATED AT 250 WORDS)
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1943829/overview
                URI : https://loop.frontiersin.org/people/190323/overview
                URI : https://loop.frontiersin.org/people/611985/overview
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                11 October 2022
                2022
                : 13
                : 1023257
                Affiliations
                [1] 1 Institute of Sports and Sports Science , Karlsruhe Institute of Technology , Karlsruhe, Germany
                [2] 2 TSG 1899 Hoffenheim , Zuzenhausen, Germany
                [3] 3 TSG ResearchLab GGmbH , Zuzenhausen, Germany
                Author notes

                Edited by: Hassane Zouhal, University of Rennes 2—Upper Brittany, France

                Reviewed by: Clayton L. Camic, Northern Illinois University, United States

                Marcos Michaelides, University of Central Lancashire, Cyprus

                *Correspondence: Maximiliane Thron, maximiliane.thron@ 123456kit.edu

                This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

                Author information
                http://orcid.org/0000-0003-1220-2809
                Article
                1023257
                10.3389/fphys.2022.1023257
                9593032
                36304572
                f8064fa1-0cb2-41a2-b59e-9d7cec3372e2
                Copyright © 2022 Thron, Woll, Klos, Härtel, Ruf, Kloss and Altmann.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 August 2022
                : 30 September 2022
                Funding
                Funded by: Karlsruhe Institute of Technology , doi 10.13039/100009133;
                Categories
                Physiology
                Brief Research Report

                Anatomy & Physiology
                football,fitness,endurance,field test,mas,performance testing
                Anatomy & Physiology
                football, fitness, endurance, field test, mas, performance testing

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