Analysis of upper limb propulsion in young swimmers in front-crawl through Statistical Parametric Mapping
This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers’ propulsion between both upper limbs through discrete (average) and...
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| Published in | Journal of biomechanics Vol. 159; p. 111792 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.10.2023
Elsevier Limited |
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| Online Access | Get full text |
| ISSN | 0021-9290 1873-2380 1873-2380 |
| DOI | 10.1016/j.jbiomech.2023.111792 |
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| Abstract | This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers’ propulsion between both upper limbs through discrete (average) and continuous analysis (Statistical Parametric Mapping – SPM). The sample consisted of 17 young male swimmers (age = 16.02 ± 0.61-years) who regularly participate in national and international level competitions. A set of kinematic and propulsion variables were measured during a 25-m maximal trial in front-crawl. Statistical analysis of propulsion was performed using discrete variables and through SPM. Swimming velocity showed a significant decrease over time. A significant interaction between the “time” (consecutive arm-pulls) and “side” (dominant vs. non-dominant) effects was observed in both statistical analyzes. Only the dominant upper limb demonstrated a significant “time” effect with a significant difference (p < 0.05) between the first and third arm-pulls. SPM indicated that the “time” effect was observed between the ∼ 34% and ∼ 42% of the arm-pull. The differences between the first and third arm-pull were verified between the ∼ 32% and ∼ 43% of the arm-pull. A non-significant “side” effect was verified in both analyzes. Therefore, SPM analysis provided more sensitive and accurate outputs than discrete analysis. This will allow coaches to design specific training drills focused on specific moments of the arm-pull. |
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| AbstractList | This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers' propulsion between both upper limbs through discrete (average) and continuous analysis (Statistical Parametric Mapping - SPM). The sample consisted of 17 young male swimmers (age = 16.02 ± 0.61-years) who regularly participate in national and international level competitions. A set of kinematic and propulsion variables were measured during a 25-m maximal trial in front-crawl. Statistical analysis of propulsion was performed using discrete variables and through SPM. Swimming velocity showed a significant decrease over time. A significant interaction between the "time" (consecutive arm-pulls) and "side" (dominant vs. non-dominant) effects was observed in both statistical analyzes. Only the dominant upper limb demonstrated a significant "time" effect with a significant difference (p < 0.05) between the first and third arm-pulls. SPM indicated that the "time" effect was observed between the ∼ 34% and ∼ 42% of the arm-pull. The differences between the first and third arm-pull were verified between the ∼ 32% and ∼ 43% of the arm-pull. A non-significant "side" effect was verified in both analyzes. Therefore, SPM analysis provided more sensitive and accurate outputs than discrete analysis. This will allow coaches to design specific training drills focused on specific moments of the arm-pull.This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers' propulsion between both upper limbs through discrete (average) and continuous analysis (Statistical Parametric Mapping - SPM). The sample consisted of 17 young male swimmers (age = 16.02 ± 0.61-years) who regularly participate in national and international level competitions. A set of kinematic and propulsion variables were measured during a 25-m maximal trial in front-crawl. Statistical analysis of propulsion was performed using discrete variables and through SPM. Swimming velocity showed a significant decrease over time. A significant interaction between the "time" (consecutive arm-pulls) and "side" (dominant vs. non-dominant) effects was observed in both statistical analyzes. Only the dominant upper limb demonstrated a significant "time" effect with a significant difference (p < 0.05) between the first and third arm-pulls. SPM indicated that the "time" effect was observed between the ∼ 34% and ∼ 42% of the arm-pull. The differences between the first and third arm-pull were verified between the ∼ 32% and ∼ 43% of the arm-pull. A non-significant "side" effect was verified in both analyzes. Therefore, SPM analysis provided more sensitive and accurate outputs than discrete analysis. This will allow coaches to design specific training drills focused on specific moments of the arm-pull. This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers’ propulsion between both upper limbs through discrete (average) and continuous analysis (Statistical Parametric Mapping – SPM). The sample consisted of 17 young male swimmers (age = 16.02 ± 0.61-years) who regularly participate in national and international level competitions. A set of kinematic and propulsion variables were measured during a 25-m maximal trial in front-crawl. Statistical analysis of propulsion was performed using discrete variables and through SPM. Swimming velocity showed a significant decrease over time. A significant interaction between the “time” (consecutive arm-pulls) and “side” (dominant vs. non-dominant) effects was observed in both statistical analyzes. Only the dominant upper limb demonstrated a significant “time” effect with a significant difference (p < 0.05) between the first and third arm-pulls. SPM indicated that the “time” effect was observed between the ∼ 34% and ∼ 42% of the arm-pull. The differences between the first and third arm-pull were verified between the ∼ 32% and ∼ 43% of the arm-pull. A non-significant “side” effect was verified in both analyzes. Therefore, SPM analysis provided more sensitive and accurate outputs than discrete analysis. This will allow coaches to design specific training drills focused on specific moments of the arm-pull. This study aimed to: (i) verify the within-subject effect of the dominant and non-dominant upper limb propulsion during consecutive arm-pulls through discrete (average) and continuous analysis (SPM), and; (ii) compare young swimmers’ propulsion between both upper limbs through discrete (average) and continuous analysis (Statistical Parametric Mapping – SPM). The sample consisted of 17 young male swimmers (age = 16.02 ± 0.61-years) who regularly participate in national and international level competitions. A set of kinematic and propulsion variables were measured during a 25-m maximal trial in front-crawl. Statistical analysis of propulsion was performed using discrete variables and through SPM. Swimming velocity showed a significant decrease over time. A significant interaction between the “time” (consecutive arm-pulls) and “side” (dominant vs. non-dominant) effects was observed in both statistical analyzes. Only the dominant upper limb demonstrated a significant “time” effect with a significant difference (p < 0.05) between the first and third arm-pulls. SPM indicated that the “time” effect was observed between the ∼ 34% and ∼ 42% of the arm-pull. The differences between the first and third arm-pull were verified between the ∼ 32% and ∼ 43% of the arm-pull. A non-significant “side” effect was verified in both analyzes. Therefore, SPM analysis provided more sensitive and accurate outputs than discrete analysis. This will allow coaches to design specific training drills focused on specific moments of the arm-pull. |
| ArticleNumber | 111792 |
| Author | Lopes, Tiago Morais, Jorge E Nikodelis, Thomas Gourgoulis, Vassilios Barbosa, Tiago M Marinho, Daniel A |
| Author_xml | – sequence: 1 givenname: Jorge E surname: Morais fullname: Morais, Jorge E email: morais.jorgestrela@gmail.com organization: Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal – sequence: 2 givenname: Tiago M surname: Barbosa fullname: Barbosa, Tiago M organization: Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal – sequence: 3 givenname: Tiago surname: Lopes fullname: Lopes, Tiago organization: Research Centre in Sports, Health and Human Development (CIDESD), Covilhã, Portugal – sequence: 4 givenname: Vassilios surname: Gourgoulis fullname: Gourgoulis, Vassilios organization: Department of Physical Education and Sport Science, School of Physical Education and Sport Science, Democritus University of Thrace, Komotini, Greece – sequence: 5 givenname: Thomas surname: Nikodelis fullname: Nikodelis, Thomas organization: Department of Physical Education and Sports Sciences, School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece – sequence: 6 givenname: Daniel A surname: Marinho fullname: Marinho, Daniel A organization: Research Centre in Sports, Health and Human Development (CIDESD), Covilhã, Portugal |
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| Title | Analysis of upper limb propulsion in young swimmers in front-crawl through Statistical Parametric Mapping |
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