Related Experiment Video
Updated: Sep 25, 2025
05:12
Swimming Performance Assessment in Fishes
Published on: May 20, 2011
25.7K
Young Swimmers' Classification Based on Performance and Biomechanical Determinants: Determining Similarities Through
Jorge E Morais1,2, Tiago M Barbosa1,2, Henrique P Neiva2,3
1Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança,Portugal.
Motor Control
|April 28, 2022
Summary
Young swimmers
Area of Science:
- Sports Science
- Biomechanics
- Swimming Performance Analysis
Background:
- Classifying young swimmers' performance is crucial for effective training.
- Understanding biomechanical factors is key to optimizing swimming technique.
- Assessing sex-based differences in performance determinants is important for equitable training.
Purpose of the Study:
- To classify young swimmers' performance based on biomechanical factors.
- To identify key biomechanical determinants influencing swimming performance.
- To determine if male and female swimmers can be effectively clustered together.
Main Methods:
- Assessed 38 national-level swimmers (22 boys, 16 girls) aged 14-16.
- Measured swim speed (front crawl), kinematic, efficiency, kinetic, and hydrodynamic variables.
- Utilized cluster analysis to group swimmers based on performance and biomechanical data.
Main Results:
- Kinetic and efficiency variables were the primary discriminators between performance clusters.
- All identified clusters included both male and female swimmers.
- Significant differences in biomechanical determinants were observed between clusters.
Conclusions:
- Girls can be integrated into training groups with boys based on biomechanical profiles.
- Ignoring the interplay of biomechanical determinants may hinder girls' swimming performance.
- Tailoring training based on individual biomechanical factors is essential for all young swimmers.
Related Concept Videos
01:48Classification of Skeletal Muscle Fibers
57.0K
Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
57.0K
01:23Sampling Plans
302
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
302
01:16Stratified Sampling Method
13.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
13.1K