The Relationship between Anthropometric, Biomotor, and Psychomotor Factors on the Performance of Paralympic 100 Meters Freestyle Swimming Athletes in National Paralympic Committee Indonesia

This research aims to relationship the anthropometric, biomotor, and psychomotor factors with disabled athlete's swimming speed in the National Paralympic Committee (NPC) (Indonesian) 100-meter freestyle competition in 2022. This research was a cross-sectional study conducted by the National P...

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Bibliographic Details
Main Authors: Alviyan Yoga Pratama, Agus Kristiyanto, Rony Syaifullah, Slamet Riyadi, Slamet Raharjo
Format: Article
Language:English
Published: FEADEF 2024-07-01
Series:Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
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Online Access:https://recyt.fecyt.es/index.php/retos/article/view/104869
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Summary:This research aims to relationship the anthropometric, biomotor, and psychomotor factors with disabled athlete's swimming speed in the National Paralympic Committee (NPC) (Indonesian) 100-meter freestyle competition in 2022. This research was a cross-sectional study conducted by the National Paralympic Committee (NPC) (Indonesia). The sample used in this research was 15 disabled athletes from NPC Indonesia with the S7-S10 classification who got medals at the ASEAN Para Games event in 2022. The data collection includes seven independent variable tests there are anthropometric factors (height, weight, body mass index, arm length, and leg length); biomotor factors (abdominal muscle strength and arm muscle power); psychomotor factors by measuring balance using Balance Tests; and dependent variables by measuring swimming speed using the 100-meter freestyle swimming ability test. Statistical analysis used the Pearson correlation coefficient test with a significance level of 5%. The results of the Pearson correlation coefficient analysis show that swimming speed was negatively related to body height, body weight, arm length, abdominal muscle strength, and arm muscle power indicating a moderate correlation between variables (p ≤ 0.001). However, unfortunately, other anthropometric variables such as leg length and age showed a weak negative correlation with swimming speed (p ≤ 0.05). Meanwhile, body mass index and balance did not show a significant correlation with swimming speed (p ≥ 0.05). Based on the research results, it was concluded that anthropometric and biomotor factors showed a negative relationship with swimming speed, while psychomotor factors did not. Keyword: Anthropometry, biomotor, psychomotor, disabled athletes, swimming speed, achievement.
ISSN:1579-1726
1988-2041