Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test
Background: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a...
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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/10/11/1082 |
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| author | Luiz Felipe da Silva Paulo Francisco de Almeida-Neto Dihogo Gama de Matos Steven E. Riechman Victor de Queiros Joseane Barbosa de Jesus Victor Machado Reis Filipe Manuel Clemente Bianca Miarka Felipe J. Aidar Paulo Moreira Silva Dantas Breno Guilherme de Araújo Tinoco Cabral |
| author_facet | Luiz Felipe da Silva Paulo Francisco de Almeida-Neto Dihogo Gama de Matos Steven E. Riechman Victor de Queiros Joseane Barbosa de Jesus Victor Machado Reis Filipe Manuel Clemente Bianca Miarka Felipe J. Aidar Paulo Moreira Silva Dantas Breno Guilherme de Araújo Tinoco Cabral |
| author_sort | Luiz Felipe da Silva |
| collection | DOAJ |
| description | Background: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches. Objective: The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers. Methods: The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later. Results: The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; <i>p</i> = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; <i>p</i> = 0.001) and was within usable agreement limits (Bland -Altman Agreement: −0.60 to 0.60; 95% CI [−0.65; 0.67]). Conclusion: The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost. |
| first_indexed | 2024-03-10T05:42:44Z |
| format | Article |
| id | doaj.art-ecd0b63f318240d1b6025010ab31082f |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-10T05:42:44Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-ecd0b63f318240d1b6025010ab31082f2023-11-22T22:27:04ZengMDPI AGBiology2079-77372021-10-011011108210.3390/biology10111082Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal TestLuiz Felipe da Silva0Paulo Francisco de Almeida-Neto1Dihogo Gama de Matos2Steven E. Riechman3Victor de Queiros4Joseane Barbosa de Jesus5Victor Machado Reis6Filipe Manuel Clemente7Bianca Miarka8Felipe J. Aidar9Paulo Moreira Silva Dantas10Breno Guilherme de Araújo Tinoco Cabral11Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, BrazilHealth Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, BrazilCardiorespiratory & Physiology of Exercise Research Laboratory, Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB R3T 2N2, CanadaDepartment of Health and Kinesiology, Texas A&M University, College Station, TX 77843, USAHealth Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, BrazilGroup of Studies and Research of Performance, Sport, Health and Paralympic Sports GEPEPS, The Federal University of Sergipe, UFS, São Cristovão 49100-000, BrazilResearch Center in Sports Sciences, Health Sciences, and Human Development (CIDESD), Trás os Montes and Alto Douro University, 5001-801 Vila Real, PortugalSports and Leisure, Polytechnic Institute of Viana do Castelo, Rua Industrial and Commercial School of Nun’Álvares, 4900-347 Viana do Castelo, PortugalLaboratory of Psychophysiology and Performance in Sports & Combats, Postgraduate Program in Physical Education, School of Physical Education and Sport, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, BrazilGroup of Studies and Research of Performance, Sport, Health and Paralympic Sports GEPEPS, The Federal University of Sergipe, UFS, São Cristovão 49100-000, BrazilHealth Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, BrazilHealth Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, BrazilBackground: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches. Objective: The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers. Methods: The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later. Results: The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; <i>p</i> = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; <i>p</i> = 0.001) and was within usable agreement limits (Bland -Altman Agreement: −0.60 to 0.60; 95% CI [−0.65; 0.67]). Conclusion: The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost.https://www.mdpi.com/2079-7737/10/11/1082athletic performancerowingsportyoung athletemathematical model |
| spellingShingle | Luiz Felipe da Silva Paulo Francisco de Almeida-Neto Dihogo Gama de Matos Steven E. Riechman Victor de Queiros Joseane Barbosa de Jesus Victor Machado Reis Filipe Manuel Clemente Bianca Miarka Felipe J. Aidar Paulo Moreira Silva Dantas Breno Guilherme de Araújo Tinoco Cabral Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test Biology athletic performance rowing sport young athlete mathematical model |
| title | Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test |
| title_full | Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test |
| title_fullStr | Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test |
| title_full_unstemmed | Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test |
| title_short | Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test |
| title_sort | performance prediction equation for 2000 m youth indoor rowing using a 100 m maximal test |
| topic | athletic performance rowing sport young athlete mathematical model |
| url | https://www.mdpi.com/2079-7737/10/11/1082 |
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