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Kong Z, Zhang H, Zhang M, Jia X, Yu J, Feng J, Zhang S. How to Test the On-Ice Aerobic Capacity of Speed Skaters? An On-Ice Incremental Skating Test for Young Skaters. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2995. [PMID: 36833692 PMCID: PMC9959978 DOI: 10.3390/ijerph20042995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Aerobic capacity is important for speed skaters to achieve good results in middle-long distance events. The technical characteristics of speed skating cause intermittent blood flow blockage in the lower limbs. Therefore, an athlete's aerobic capacity on ice may differ from that measured by cycling or running. Now, the on-ice aerobic capacity lacks methods for conducting aerobic capacity tests on ice. Objective: The objective of this study was to develop a method for measuring on-ice aerobic capacity for young athletes and to compare it with the VO2max test on cycling. Methods: This study established a test method for the on-ice aerobic capacity of young, high-level speed skaters with incremental load (on-ice incremental skating test, OIST) through expert interviews and literature review. In the first part, OIST was used to test the aerobic abilities of 65 youth professional speed skaters (51 males and 14 females) on ice and to explore the correlation with their specific performance. The second part compares the relationship between aerobic capacity on ice and aerobic capacity on bicycle of 18 young high-level male athletes. The third part establishes the regression formula of ice ventilation threshold heart rate. The OIST established in this study can evaluate the on-ice aerobic capacity of athletes from National Level and Level 1&2 in China. The athletes' on-ice aerobic capacity indicators were significantly lower than those of the cycling test. However, the values of absolute VO2max and absolute ventilatory threshold had a high correlation (R = 0.532, p < 0.05; R = 0.584, p < 0.05). The regression formula of ventilatory threshold heart rate on ice = 0.921 × HRmax (Cycling test) -9.243. The OIST established in this study meets the characteristics and requirements of the VO2max measurement method. The OIST seems to be able to better evaluate the aerobic capacity of athletes skating on ice. The indicators of maximum oxygen uptake and ventilation threshold in OIST were significantly lower than those in the aerobic cycling test, but there was a good correlation. The aerobic cycling test can be used as an important selection index of the ice aerobic capacity of speed skaters. The regression formula will provide an important basis for coaches to accurately monitor the intensity of ice training.
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Affiliation(s)
- Zhenxing Kong
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
| | - Hanyue Zhang
- School of Physical Education, Northeast Normal University, Changchun 130024, China
| | - Mingyue Zhang
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
- Department of Kinesiology, College of Human Sciences, Iowa State University, Ames, IA 50011, USA
| | - Xiao Jia
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
| | - Jingjing Yu
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
| | - Junpeng Feng
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
| | - Shouwei Zhang
- School of Physical Education, Northeast Normal University, Changchun 130024, China
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Woods CT, Araújo D, Davids K, Rudd J. From a Technology That Replaces Human Perception-Action to One That Expands It: Some Critiques of Current Technology Use in Sport. SPORTS MEDICINE-OPEN 2021; 7:76. [PMID: 34689308 PMCID: PMC8542013 DOI: 10.1186/s40798-021-00366-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 10/03/2021] [Indexed: 11/28/2022]
Abstract
Information technology has been integrated into most areas of sport, providing new insights, improving the efficiency of operational processes, and offering unique opportunities for exploration and inquiry. While acknowledging this positive impact, this paper explores whether sufficient consideration has been directed towards what technology risks detracting from the learning and developmental experiences of its users. Specifically, viewed through the philosophical lens of the device paradigm, and considering a more ecological account of technological implementation, we discuss how technology use in sport could subtly disengage educators and applied sports scientists from performance environments. Insights gleaned from such an ecological account of technology implementation could lead sports science and educational teams to ask and reflect on tough questions of current practice: i.e. has too much control been given to technological devices to ‘solve’ problems and communicate knowledge (about) in sport? Has technology improved the skills of players and performance staff? Or are performance staff at risk of becoming over-reliant on technology, and as a result, reducing the value of experiential knowledge (of) and intuition? Questions like these should be asked if technological devices, purported to support aspects of practice, are continually integrated into the sporting landscape.
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Affiliation(s)
- Carl T Woods
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Duarte Araújo
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Keith Davids
- Sport and Human Performance Research Group, Sheffield Hallam University, Sheffield, UK
| | - James Rudd
- Norwegian School of Sport Sciences, Oslo, Norway.
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Stoter IK, Koning RH, Visscher C, Elferink-Gemser MT. Creating performance benchmarks for the future elites in speed skating. J Sports Sci 2019; 37:1770-1777. [DOI: 10.1080/02640414.2019.1593306] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Inge K. Stoter
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ruud H. Koning
- Department of Economics, Econometrics & Finance, Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands
| | - Chris Visscher
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marije T. Elferink-Gemser
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Commentary on "Towards a Grand Unified Theory of sports performance". Hum Mov Sci 2017; 56:160-162. [PMID: 28483216 DOI: 10.1016/j.humov.2017.04.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 04/30/2017] [Accepted: 04/30/2017] [Indexed: 11/21/2022]
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Dalmaijer ES, Nijenhuis BG, Van der Stigchel S. Life is unfair, and so are racing sports: some athletes can randomly benefit from alerting effects due to inconsistent starting procedures. Front Psychol 2015; 6:1618. [PMID: 26579009 PMCID: PMC4623299 DOI: 10.3389/fpsyg.2015.01618] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 10/07/2015] [Indexed: 11/21/2022] Open
Abstract
The Olympics are the world’s largest sporting events, attracting billions of viewers worldwide. Important parts are racing sports, such as running, swimming and speed skating. In these sports, athletes compete against each other in different heats to determine who wins the gold, or who is granted a place in the final. Of course, the gold goes to whoever is the most talented and has trained the hardest. Or does it? Here we argue that subtle differences between athletes’ starts can bias the competition, and demonstrate this in the results of speed skating at the 2010 Winter Olympics. This bias could be removed by simple alterations to current starting procedures. The proposed change would greatly improve racing sport fairness, which currently suffers from an injustice that disadvantages not only athletes, but entire nations rooting for them.
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Affiliation(s)
- Edwin S Dalmaijer
- Department of Experimental Psychology, University of Oxford , Oxford, UK
| | - Beorn G Nijenhuis
- Department of Experimental Psychology, Utrecht University , Utrecht, Netherlands
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Abstract
Speed skating is an intriguing sport to study from different perspectives due to the peculiar way of motion and the multiple determinants for performance. This review aimed to identify what is known on (long-track) speed skating, and which individual characteristics determine speed skating performance. A total of 49 studies were included. Based on a multidimensional performance model, person-related performance characteristics were categorized in anthropometrical, technical, physiological, tactical, and psychological characteristics. Literature was found on anthropometry, technique, physiology, and tactics. However, psychological studies were clearly under-represented. In particular, the role of self-regulation might deserve more attention to further understand mechanisms relevant for optimal performance and for instance pacing. Another remarkable finding was that the technically/biomechanically favourable crouched skating technique (i.e. small knee and trunk angle) leads to a physiological disadvantage: a smaller knee angle may increase the deoxygenation of the working muscles. This is an important underlying aspect for the pacing tactics in speed skating. Elite speed skaters need to find the optimal balance between obtaining a fast start and preventing negative technical adaptations later on in the race by distributing their available energy over the race in an optimal way. More research is required to gain more insight into how this impacts on the processes of fatigue and coordination during speed skating races. This can lead to a better understanding on how elite speed skaters can maintain the optimal technical characteristics throughout the entire race, and how they can adapt their pacing to optimize all identified aspects that determine performance.
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Dyer B. The controversy of sports technology: a systematic review. SPRINGERPLUS 2015; 4:524. [PMID: 26405644 PMCID: PMC4575312 DOI: 10.1186/s40064-015-1331-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 09/10/2015] [Indexed: 11/25/2022]
Abstract
Changes or introductions of technology or equipment can affect how a sport is played or influence its performances. This article conducted a systematic review of peer-reviewed literature to identify any case studies of controversial events surrounding the implementation or use of sports technology. 56 articles were identified that highlighted 31 different case studies found over a three decade time period. Thematic analysis revealed six distinctive themes when reviewing the articles. Whilst the sport of golf had the highest number of case studies, it was found that a significant level of attention had been recorded in the cases of Oscar Pistorius use of prosthetic legs in athletics and the use of full length swimsuits in swimming. The trend surrounding the number of articles was shown to be initially intermittent but saw a peak period from 2008 to 2010. However, the frequency of such articles since this peak has been more consistent. It is proposed that long periods of time without intervention or resolution by a governing body often increases the peer-reviewed attention paid to such cases in examples such as those identified in this systematic review.
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Affiliation(s)
- Bryce Dyer
- Faculty of Science and Technology, Bournemouth University, Fern Barrow, Poole, BH12 5BB UK
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Using modeling to understand how athletes in different disciplines solve the same problem: swimming versus running versus speed skating. Int J Sports Physiol Perform 2011; 6:276-80. [PMID: 21725112 DOI: 10.1123/ijspp.6.2.276] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Every new competitive season offers excellent examples of human locomotor abilities, regardless of the sport. As a natural consequence of competitions, world records are broken every now and then. World record races not only offer spectators the pleasure of watching very talented and highly trained athletes performing muscular tasks with remarkable skill, but also represent natural models of the ultimate expression of human integrated muscle biology, through strength, speed, or endurance performances. Given that humans may be approaching our species limit for muscular power output, interest in how athletes improve on world records has led to interest in the strategy of how limited energetic resources are best expended over a race. World record performances may also shed light on how athletes in different events solve exactly the same problem-minimizing the time required to reach the finish line. We have previously applied mathematical modeling to the understanding of world record performances in terms of improvements in facilities/equipment and improvements in the athletes' physical capacities. In this commentary, we attempt to demonstrate that differences in world record performances in various sports can be explained using a very simple modeling process.
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