Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

Silva, Luiz Felipe da; Almeida-Neto, Paulo Francisco de; Matos, Dihogo Gama de; Riechman, Steven E.; Queiros, Victor de; Jesus, Joseane Barbosa de; Reis, Víctor Machado; Clemente, Filipe Manuel; Miarka, Bianca; Aidar, Felipe J.; Dantas, Paulo Moreira Silva; Cabral, Breno Guilherme de Araújo Tinôco

doi:10.3390/biology10111082

Cited by 6 publications

(9 citation statements)

References 30 publications

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“…Twenty-five studies were scrutinized in the full text. Out of these 25 items, 8 studies [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ] were excluded with reason (n = 2, not reporting sufficient quantitative/qualitative details; n = 4, not disaggregating data according to para-sports discipline; n = 2 reporting details of another study (letter and response to the editor). Finally, 17 studies [ 5 , 6 , 7 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ] were retained in the present scoping review.…”

Section: Resultsmentioning

confidence: 99%

A Scoping Review with Bibliometric Analysis of Para-Rowing: State of the Art and Future Directions

et al. 2023

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Para-rowing is a format of rowing practiced by people with different types of disabilities, thanks to adapted equipment set-ups and regulations. Para-rowing made its debut recently at the 2008 Paralympic Games. According to the mandate of the “International Paralympic Committee”, para-rowers should be enabled to pursue sporting excellence. Therefore, rigorous research is needed in terms of well-designed, high-quality studies. To the best of our knowledge, there are no systematic appraisals of the body of scholarly evidence in the field of para-rowing. As such, a scoping review enhanced by bibliometric analyses was carried out to provide a comprehensive synthesis of knowledge related to para-rowing for the perusal of practitioners and athletes. By mining eighteen major databases, 17 studies were retained in the present review. The included studies were found to focus on a range of aspects involving health, the etiology of injuries (n = 5), psychological and physiological responses (n = 5), performance, biomechanical analysis (n = 4), and new analytical approaches for kinematic assessments and predictions of mechanical outputs in para-rowers (n = 3). The scholarly community on para-rowing consists of 78 researchers, 16 (20.51%) of whom are highly interconnected. The most prolific author was Smoljanović T., from Croatia, with three items/documents. In total, 93.6% of scholars have authored one single document. Topological features indicated a highly fragmented and dispersed, poorly connected community characterized by a high number of clusters and a low strength of connections. In terms of publication years, the first scholarly article dates back to 2008, with four articles (23.5%) published in the current year, showing an increasing interest in this para-sports discipline. Finally, gaps in current research on para-rowing were identified in terms of overlooked topics, including sports nutrition, doping, and psychological aspects in para-rowers other than those with visual impairment.

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Section: Resultsmentioning

confidence: 99%

A Scoping Review with Bibliometric Analysis of Para-Rowing: State of the Art and Future Directions

et al. 2023

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“…Several approaches have been used to predict the performance of indoor rowing of 2000m with short anaerobic test [17,18,19,20,21]. Previous researchers have developed mathematical models for predicting performance in senior rowers (i.e., age >18 years) at 2000m and6000 m from the 30s, 20s, and 60s tests, respectively [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Predicting 6000m Performance Time in Junior Rowers using a 500m Indoor Rowing Test

Silva¹,

Almeida-Neto²,

Matos³

et al. 2023

Preprint

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The present study aimed to develop a mathematical model to estimate the performance of an indoor rowing event of 6000m through an 500 m all out test in junior athletes. We selected141 subjects from the Brazilian rowing confederation database (15.9 ± 1.0 years), subsequently randomised the sample to the development (~70%) and cross-validation (~30%) groups of the mathematical model. Performance data for 500m and 6000m were collected (there was a 48h washout between one test and anoth-er).Subsequently, the mathematical model: Time(min) 6000m = { [( Time(s) 500-m * 6) * 2] / 60} + 1.3, was developed by arithmetic modeling using machine learning and Regression analysis, being tested by intraclass correlation coefficient (ICC), Concordance correlation coefficient (CCC), Validity (Cb ), preci-sion (ρ) and bland-Altman plotting. The prediction of the result of 6000m through the mathematical model utilizando apenas o desempenho de 500m “all-out” test showed a significant reliability in de-velopment group (r2 = 0.730, ICC = 0.753; CCC = 0.895, Cb = 0.879, ρ: 0.957, pure error: 0.2 secounds (1.0% estimative error)); and in cross-validation group (r2 = 0.710, ICC = 0.747; CCC = 0.888, Cb = 0.875, ρ: 0.903, pure error: 0.3 secounds (1.4% estimative error)). When comparing the estimated re-sults of the 6000m performance by the mathematical model with the real performance of 6000m per-formed in indoor rowing, no statistical differences were observed. In addition, the mathematical model did not present a significant proportion bias in relation to the 6000 m performance in both groups. The mathematical model for predicting 6000m performance through a 500m fast test was significant for national level junior rowing athletes.

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“…However, assessing physiological performance on-water is somewhat complicated because external factors such as wind, water currents, and temperature may influence results. Therefore, rowing ergometers have facilitated training and provided a controllable and repeatable equipment to assess rowing and physiological performance (Ingham et al, 2002;Mäestu et al, 2005;Silva et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Training at moderate altitude improves submaximal but not maximal performance-related parameters in elite rowers

et al. 2022

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Maximal oxygen consumption (V̇O2max), physiological thresholds, and hemoglobin mass are strong predictors of endurance performance. High values of V̇O2max, maximal aerobic power (MAP), and power output at anaerobic thresholds are key variables in elite rowers. Endurance athletes often use altitude training as a strategy to improve performance. However, no clear evidence exists that training at natural altitude enhances sea-level performance in elite rowers. This study aimed to evaluate the effect of altitude training on rowing-performance parameters at sea level. The study was conducted on eleven rowers (Six females, five males) from the Chilean National Team during a 3-week moderate altitude training (∼2,900 m. a.s.l.) under the live high-train high (LHTH) model. It included a rowing ergometer maximal incremental test and blood analysis (pre and post-altitude). Gas exchange analysis was performed to measure V̇O2max, ventilatory thresholds (VTs) and rowing economy/efficiency (ECR/GE%). LHTL training improves performance-related variables at sea level (V̇Emax: 3.3% (95% CI, 1.2–5.5); hemoglobin concentration ([Hb]): 4.3% (95% CI, 1.7–6.9); hematocrit (%): 4.5% (95% CI, 0.9–8.2); RBC (red blood cells) count: 5.3% (95% CI, 2.3–8.2); power at VT2: 6.9% (95% CI, 1.7–12.1), V̇EVT2: 6.4% (95% CI, 0.4–12.4); power at VT1: 7.3% (95% CI, 1.3–13.3), V̇EVT1: 8.7% (95% CI, 1.6–15.8)) and economy/efficiency-related variables (ECRVT2: 5.3% (95% CI, −0.6 to −10.0); GE(%): 5.8% (95% CI, 0.8–10.7)). The LHTH training decreased breathing economy at MAP (−2.8% (95% CI, 0.1–5.6)), pVT2 (−9.3% (95% CI, −5.9 to −12.7)), and pVT1 (−9.3% (95% CI, −4.1 to −14.4)). Non-significant changes were found for V̇O2max and MAP. This study describes the effects of a 3-week moderate altitude (LHTH training) on performance and economy/efficiency-related variables in elite rowers, suggesting that it is an excellent option to induce positive adaptations related to endurance performance.

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Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

Cited by 6 publications

References 30 publications

A Scoping Review with Bibliometric Analysis of Para-Rowing: State of the Art and Future Directions

A Scoping Review with Bibliometric Analysis of Para-Rowing: State of the Art and Future Directions

Predicting 6000m Performance Time in Junior Rowers using a 500m Indoor Rowing Test

Training at moderate altitude improves submaximal but not maximal performance-related parameters in elite rowers

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