Related Experiment Video
Updated: Jan 7, 2026

05:12
Swimming Performance Assessment in Fishes
Published on: May 20, 2011
25.9K
Sex-based differences in front crawl and butterfly sprint performance in age-group swimmers
Radomyos Matjiur1, Phornpot Chainok1, Jessy Lauer2,3
1Faculty of Sport Science, Burapha University, Chonburi, Thailand.
Plos One
|December 29, 2025
Summary
Boys outperform girls in sprint swimming due to superior upper-body strength and anaerobic capacity. Key predictors include push-up force and body height for front crawl, and push-up force and stroke index for butterfly.
Area of Science:
- Sports Science
- Human Physiology
- Biomechanics
Background:
- Sprint swimming performance in age-group athletes is influenced by a complex interplay of physiological and biomechanical factors.
- Understanding sex-related differences in swimming performance is crucial for targeted training program development.
Purpose of the Study:
- To identify key variables affecting 50 m sprint performance in front crawl and butterfly strokes.
- To determine the primary predictors of sex-based performance disparities in these swimming techniques.
Main Methods:
- Thirty national-level age-group swimmers (15 boys, 15 girls) were assessed.
- Evaluations included anthropometry, maturation, neuromuscular performance, anaerobic critical velocity, tethered swimming force, and stroke mechanics.
Main Results:
- Boys exhibited significantly higher upper-body force output and anaerobic critical velocity (AnCV) compared to girls.
- Front crawl tethered swimming force (47%) and butterfly lower limb neuromuscular performance (29%) explained the most variance.
- Push-up peak force and body height were key discriminators in front crawl; push-up force and stroke index in butterfly.
Conclusions:
- Upper-limb neuromuscular performance and stroke efficiency effectively predict sex-based differences in sprint swimming.
- Findings provide a framework for sex- and technique-specific training strategies in young swimmers.
Related Concept Videos
Testing a Claim about Population Proportion
3.9K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.9K
Speciation Rates
22.5K
Overview
22.5K

