Performance of Young Male Swimmers in the 100-Meters Front Crawl

Vitor, Fabrício de Mello; Böhme, Maria Tereza Silveira

doi:10.1123/pes.22.2.278

Cited by 42 publications

(24 citation statements)

References 14 publications

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“…To date, research exploring the development of youth swimmers during adolescence has focussed mainly on male subjects [ 8 , 9 , 10 , 11 ] with comparatively fewer targeting solely young females [ 7 , 12 ]. In one of the few studies on young female swimmers, Lätt, Jürimäe, Haljaste, Cicchella, Purge and Jürimäe [ 7 ] found that development of biomechanical factors such as velocity, stroke length, stroke rate and in particular stroke index, rather than bioenergetics, contributed more to improved performance times in the 400 m freestyle event.…”

Section: Introductionmentioning

confidence: 99%

How Confident Can We Be in Modelling Female Swimming Performance in Adolescence?

Dormehl

Robertson

Williams

2016

Sports

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The purpose of this research was to determine the expected progression of adolescent female swimming performances using a longitudinal approach. The performances of 514 female swimmers (12–19 year olds) who participated in one or more FINA-regulated annual international schools’ swimming championships over an eight-year period were analysed. Quadratic functions for each of the seven individual events (50, 100, 200 m freestyle, 100 m backstroke, breaststroke, butterfly, 200 m individual medley) were determined using mixed linear models. The predicted threshold of peak performance ranged from 16.8 ± 0.2 (200 m individual medley) to 20.6 ± 0.1 (100 m butterfly) years of age, preceded by gradual rates of improvement (mean rate of 1.6% per year). However, following cross validation, only three events (100 m backstroke, 200 m individual medley and 200 m freestyle) produced reliable models. Identifying the factors that contribute to the progression of female performance in this transitory period of life remains challenging, not least since the onset of puberty is likely to have occurred prior to reaching 12 years of age, the minimum competition age for this championship.

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Section: Introductionmentioning

confidence: 99%

How Confident Can We Be in Modelling Female Swimming Performance in Adolescence?

Dormehl

Robertson

Williams

2016

Sports

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“…A possible explanation for the lack of further associations between SP and improvements in peripheral and systemic capacity may be related to an improvement in the swim efficiency/movement economy that has previously been shown to differentiate between novice and elite swimmers ( Barbosa et al, 2010 ). An enhanced swim efficiency would be responsible for the improvements in swim velocity, an important determinant of swim performance ( Toussaint, 1990 ; de Mello Vitor & Silveira Böhme, 2010 ). It may be that the acquisition of this improved skill can only be achieved or “learned” via high volume repetitive swim actions and is therefore a key factor in high volume aerobic swim training ( Cunningham & Eynon, 1973 ).…”

Section: Discussionmentioning

confidence: 99%

Underwater near-infrared spectroscopy can measure training adaptations in adolescent swimmers

Jones

Parry

Cooper

2018

PeerJ

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The development of an underwater near-infrared spectroscopy (uNIRS) device has enabled previously unattainable measurements of peripheral muscle hemodynamics and oxygenation to be taken within the natural aquatic environment. The purposes of this study were (i) to trial the use of uNIRS, in a real world training study, and (ii) to monitor the effects of a swim training program upon muscle oxygenation status in short distance swimming. A total of 14 junior club level swimmers completed a repeated swim sprint test before and after an eight week endurance training program. A waterproof, portable Near-Infrared Spectroscopy device was attached to the vastus lateralis. uNIRS successfully measured changes in muscle oxygenation and blood volume in all individuals; rapid sub-second time resolution of the device was able to demonstrate muscle oxygenation changes during the characteristic swim movements. Post training heart rate recovery and swim performance time were significantly improved. uNIRS data also showed significant changes. A larger rise in deoxyhemoglobin during individual sprints suggested training induced an increase in muscle oxygen extraction; a faster recovery time for muscle oxygenation suggested positive training induced changes and significant changes in muscle blood flow also occur. As a strong correlation was seen between an increased reoxygenation rate and an improved swim performance time, these findings support the use of uNIRS as a new performance analysis tool in swimming.

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“…Morais et al, (2016) [14] found a moderate correlation of performance at 100 m front crawl swimming with the arm span of swimmers aged 12-13 years. In another study, Vitor and Bohme (2010) [23] found a high correlation between the 100 m front crawl swimming and age, weight, height, and shoulder width but not between arm span, pelvis width, triceps and subscapular skinfold.…”

Section: Relationship Between Anthropometrics and Performancementioning

confidence: 93%

“…The most often observed relationship between speed and height [7,19,23] can be explained by the fact that the Froude value depends on the height of the swimmer. Higher swimmers have lower Froude values and lower resistance to waves, but the fact is that tall swimmers perform their turn and finish actions with their center of gravity furthest away from the wall, so they swim shorter distance than shorter swimmers [10].…”

Section: Relationship Between Anthropometrics and Performancementioning

confidence: 99%

PREDICTION OF 100 m FRONT CRAWL PERFORMANCE THROUGH ANTHROPOMETRICAL CHARACTERISTICS IN YOUTH GREEK SWIMMERS ACCORDING TO GENDER

Rozi

Dopsaj

Platanou

2019

hsm

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Aim. Investigate the predictive relationship between 100 m front crawl swimming performance of youth swimmers and anthropometric characteristics. Materials and methods. Fifty-one active athletes (n = 30 male and n = 21 female) participated in the research and for the purposes of the analysis were divided into two categories (13-15 years n = 32, and 16-18 years old, n = 19). The following anthropometric data were used as set of predictive variables (7 longitudinal, 7 skinfolds, 3 circumference and 1 voluminosity variables). Results. One prediction model for each gender and age group emerged. The percentage of the explained variance of the dependent variable (100 m front crawl performance time) is 84.6 %, 54.4 %, 71.1 % and 72.7 % respectively for male, female, youth and cadet swimmers. The significant variables for each model were: arm span, biceps skinfold, biceps bracchi circumference in contraction for male swimmers, sitting height for female swimmers, biceps bracchi circumference in contraction and body weight for youth swimmers, triceps skinfold and biceps bracchi circumference in contraction for cadet swimmers. Conclusion. Youth swimmers' performance can be predicted by important anthropometric parameters.

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Performance of Young Male Swimmers in the 100-Meters Front Crawl

Cited by 42 publications

References 14 publications

How Confident Can We Be in Modelling Female Swimming Performance in Adolescence?

How Confident Can We Be in Modelling Female Swimming Performance in Adolescence?

Underwater near-infrared spectroscopy can measure training adaptations in adolescent swimmers

PREDICTION OF 100 m FRONT CRAWL PERFORMANCE THROUGH ANTHROPOMETRICAL CHARACTERISTICS IN YOUTH GREEK SWIMMERS ACCORDING TO GENDER

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