Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test
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
Affiliations
Luiz Felipe da Silva
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
Paulo Francisco de Almeida-Neto
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
Dihogo Gama de Matos
Cardiorespiratory & Physiology of Exercise Research Laboratory, Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
Steven E. Riechman
Department of Health and Kinesiology, Texas A&M University, College Station, TX 77843, USA
Victor de Queiros
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
Joseane Barbosa de Jesus
Group of Studies and Research of Performance, Sport, Health and Paralympic Sports GEPEPS, The Federal University of Sergipe, UFS, São Cristovão 49100-000, Brazil
Victor Machado Reis
Research Center in Sports Sciences, Health Sciences, and Human Development (CIDESD), Trás os Montes and Alto Douro University, 5001-801 Vila Real, Portugal
Filipe Manuel Clemente
Sports and Leisure, Polytechnic Institute of Viana do Castelo, Rua Industrial and Commercial School of Nun’Álvares, 4900-347 Viana do Castelo, Portugal
Bianca Miarka
Laboratory 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, Brazil
Felipe J. Aidar
Group of Studies and Research of Performance, Sport, Health and Paralympic Sports GEPEPS, The Federal University of Sergipe, UFS, São Cristovão 49100-000, Brazil
Paulo Moreira Silva Dantas
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
Breno Guilherme de Araújo Tinoco Cabral
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
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; p = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; p = 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.
