Modelling the 200 m Front-Crawl Performance Predictors at the Winter Season Peak

Costa, Mário J.; Santos, Catarina C.; Marinho, Daniel A.; Silva, Alcino J.; Barbosa, Tiago M.

doi:10.3390/ijerph17062126

Cited by 5 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The v (in m•s −1 ) was calculated based on the ratio between the distance and T25. The SR (in Hz) was assessed with a chrono-frequency meter (FINIS 3x300, Finis Inc., Journal of Human Kinetics -volume 84/2022 http://www.johk.pl USA) from three consecutive stroke cycles between the 11 th and the 24 th m, and the SL (in m) was estimated (SL = v / SR) as reported elsewhere (Costa et al, 2020;Craig and Pendergast, 1979). To analyse swimming stroke efficiency, the stroke index (SI, in m 2 •s −1 ) was computed (SI = v • SL) (Costill et al, 1985), and the arm stroke efficiency (ηF, in %), based on Froude efficiency, was estimated as:…”

Section: Methodsmentioning

confidence: 99%

The Mechanical and Efficiency Constraints when Swimming Front Crawl with the Aquanex System

Santos¹,

Marinho²,

Costa³

2022

Journal of Human Kinetics

Self Cite

View full text Add to dashboard Cite

The aim of this study was to compare the mechanical and efficiency constraints between free swim and swimming with differential pressure sensors (Aquanex System). These conditions were also analysed to understand the differences between sexes. Thirty young swimmers, 14 boys and 16 girls (12.31 ± 0.67 years) performed three 25-m front crawl maximal bouts under each condition: free swim and swimming with sensors. Under the condition with sensors, swimmers carried the Aquanex System composed of two hand pressure sensors (v.4.1, Model DU2, Type A, Swimming Technology Research, Richmond, VA, USA). The 25-m time (T25) was assessed as a swimming performance variable. The swimming velocity (v), stroke rate (SR), and stroke length (SL) were assessed and calculated as stroke mechanics variables. Thereafter, the stroke index (SI) and arm stroke efficiency (η F) were estimated for swimming efficiency. Statistical significance was set at p ≤ 0.05. Swimming performance was impaired when swimmers swam with sensors (overall: p = 0.03, d = 0.14; Δ = 1.30%) and a significant decrease in v was found for overall (p = 0.04, d = 0.14; Δ = 1.42%) and the girls’ group (p < 0.01, d = 0.39; Δ = -1.99%). The remaining stroke mechanics variables showed no differences between conditions, as well as for swimming efficiency. Furthermore, there were no differences between girls and boys in free swim and with sensors for all variables. Swimming with the Aquanex System seems not to impose constraints in the mechanics and efficiency of young swimmers, despite differences in swimming performance and v.

show abstract

Section: Methodsmentioning

confidence: 99%

The Mechanical and Efficiency Constraints when Swimming Front Crawl with the Aquanex System

Santos¹,

Marinho²,

Costa³

2022

Journal of Human Kinetics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The derivation of the forward and backward thrust resistance is as follows:

where

and

are the resistance coefficients under the corresponding conditions. Swimming involves a complex physiological process [ 29 ]. The human body relies on aerobic metabolism [ 30 ] and anaerobic metabolism to provide the energy needed for exercise.…”

Section: Methodsmentioning

confidence: 99%

Exploration of Internal and External Factors of Swimmers’ Performance Based on Biofluid Mechanics and Computer Simulation

Liu

Lü

Chen

et al. 2021

IJERPH

View full text Add to dashboard Cite

The purpose of this study is to explore the influence of different swimming strokes on the performance of swimmers and the resistance of each part from the perspective of hydrodynamics. In this paper, the influence of internal and external factors on the swimming speed is analyzed comprehensively and meticulously from the macro and micro perspectives. In the macroscopic part, the swimming speed representation model is established, and the validity of the model is further verified by the analysis of experimental data and hydrodynamic equations. In the microscopic part, we carefully analyzed details such as the opening angle of the palm, the timing of the arm and leg and the angular velocity of each link of the human body. Combined with computer simulation, stereo modeling and numerical analysis are carried out, and the best scheme FOR how to cooperate with each part of the body in swimming is given.

show abstract

Development and Interplay of Metabolic and Mechanical Performance Determinants Over an Annual Training Period in Adolescent National-Level Squad Swimmers

Keller,

Ji,

Feuerbacher

et al. 2023

International Journal of Sports Physiology and Performance

View full text Add to dashboard Cite

Purpose: The study examined the longitudinal interplay of anthropometric, metabolic, and neuromuscular development related to performance in adolescent national-level swimmers over 12 months. Methods: Seven male and 12 female swimmers (14.8 [1.3] y, FINA [International Swimming Federation] points 716 [51]) were tested before (T0) and after the preparation period (T1), at the season’s peak (T2), and before the next season (T3). Anthropometric (eg, fat percentage) and neuromuscular parameters (squat and bench-press load-velocity profile) were assessed on dry land. Metabolic (cost of swimming [C], maximal oxygen uptake [], and peak blood lactate [bLapeak]) and performance (sprinting speed [vsprint] and lactate thresholds [LT1 and 2]) factors were determined using a 500-m submaximal, 200-m all-out, 20-second sprint, and incremental test (+0.03 m·s−1, 3 min), respectively, in front-crawl swimming. Results: vsprint (+0.6%) and LT1 and 2 (+1.9–2.4%) increased trivially and slightly, respectively, from T0 to T2 following small to moderate strength increases (≥+10.2%) from T0 to T1 and (+6.0%) from T1 to T2. Bench-press maximal strength and peak power correlated with vsprint from T0 to T2 (r ≥ .54, P < .05) and LT2 at T1 (r ≥ .47, P < .05). Changes in fat percentage and (T2–T1 and T3–T2, r ≤ −.67, P < .01) and C and LT2 (T2–T0, r = −.52, P = .047) were also correlated. Conclusions: Increases in strength and from preparation to the competition period resulted in improved sprint and endurance performance. Across the season, upper-body strength was associated with vsprint and LT2, although their changes were unrelated.

show abstract

Modelling the 200 m Front-Crawl Performance Predictors at the Winter Season Peak

Cited by 5 publications

References 28 publications

The Mechanical and Efficiency Constraints when Swimming Front Crawl with the Aquanex System

The Mechanical and Efficiency Constraints when Swimming Front Crawl with the Aquanex System

Exploration of Internal and External Factors of Swimmers’ Performance Based on Biofluid Mechanics and Computer Simulation

Development and Interplay of Metabolic and Mechanical Performance Determinants Over an Annual Training Period in Adolescent National-Level Squad Swimmers

Contact Info

Product

Resources

About