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Ann Appl Sport Sci 2023, 11(3): 0-0 |
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Oztuna Taner O. Sports Performance Based on Food Nutrition: A Scenario Study. Ann Appl Sport Sci 2023; 11 (3)
URL: http://aassjournal.com/article-1-1254-en.html
URL: http://aassjournal.com/article-1-1254-en.html
Scientific and Technological Application and Research Center, Aksaray University, Aksaray, Turkey. , ootaner@aksaray.edu.tr
Abstract: (757 Views)
Background. This study presents sports performance based on food nutrition. The study aims to increase athletes' power and anaerobic fatigue by eating enough food nutrition to use sports exercise on a cycle ergometer by a scenario study.
Objectives. The cycle ergometer model and simulation of energy-power is impacted by nutrition and movement as the study linked energy and power (the athlete scenario).
Methods. This study conducted a theoretical study using 21 scenario athlete weights and a cycle ergometer device. It focused on athlete strength and anaerobic fatigue using flywheel resistance. The study demonstrated reliability and mathematical modeling of scenario data. This study was based on SPSS 28.0 for data analysis and evaluation (one-way ANOVA, spectral analysis, autocorrelation function, and T-Test), assessing the reliability of scenario data using regression analysis.
Results. The modeling showed that the scenario athletes with 21 different weights had an anaerobic fatigue efficiency greater than 80% and anaerobic power capacities between 10.2 [kW] and 16.7 [kW].
Conclusion. The athletes' anaerobic capacity and fatigue increased with weight, but their efficiency (capacity) remained the same. As a result, ATP (Adenosine Triphosphate) is produced and used by the body, which enhances performance. This study demonstrates how the athlete's social economic environment and movement patterns impact power-energy.
Objectives. The cycle ergometer model and simulation of energy-power is impacted by nutrition and movement as the study linked energy and power (the athlete scenario).
Methods. This study conducted a theoretical study using 21 scenario athlete weights and a cycle ergometer device. It focused on athlete strength and anaerobic fatigue using flywheel resistance. The study demonstrated reliability and mathematical modeling of scenario data. This study was based on SPSS 28.0 for data analysis and evaluation (one-way ANOVA, spectral analysis, autocorrelation function, and T-Test), assessing the reliability of scenario data using regression analysis.
Results. The modeling showed that the scenario athletes with 21 different weights had an anaerobic fatigue efficiency greater than 80% and anaerobic power capacities between 10.2 [kW] and 16.7 [kW].
Conclusion. The athletes' anaerobic capacity and fatigue increased with weight, but their efficiency (capacity) remained the same. As a result, ATP (Adenosine Triphosphate) is produced and used by the body, which enhances performance. This study demonstrates how the athlete's social economic environment and movement patterns impact power-energy.
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APPLICABLE REMARKS
APPLICABLE REMARKS
- In 21 scenarios, controlling athlete performance had an impact on the relationship between nutrition, athlete weight, and athletic performance.
- Given that the study correlated energy and power, nutrition and exercise have an impact on the cycle ergometer model and simulation of energy-power.
- The athletes in the scenario had anaerobic power capacities between 10.2 [kW] and 16.7 [kW] and anaerobic fatigue efficiency greater than 80%.
- The body produces and uses ATP, which improves performance.
Type of Study: Original Article |
Subject:
Sport Physiology and its related branches
Received: 2023/09/3 | Accepted: 2023/10/16
Received: 2023/09/3 | Accepted: 2023/10/16
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