Abstract
Purpose: Despite many researches that have been done in the field of biorhythm and due to lack of single view among scholars, as well as importance of forecasting of athletes’ performance to improve their results, the purpose of this study is to determine relationship between biorhythm (physical cycle) and sports performance of Iranian Super League women basketball players. Material: This is a descriptive-correlational study. Statistical population was women basketball players in 1394-95 women's Super League and the statistical sample included all of the players of the teams, qualified as semi-finalists (44 players). The tool, used in this research, was athletes’ performance questionnaire (Charbonneau, 2001) containing five questions by a Likert scale from 1 (poor) to 5 (excellent) points. Biorhythm software and descriptive tests and also inferential statistical test including Chi-Square, independent T-test and one way ANOVA at significance level of in SPSS software were used for analyzing the collected data. Results: results showed that there was no significant relationship between physical energy and performance of athletes (p = 0.85). Also the results of one way ANOVA test showed that there was no significant difference between performance of athletes at three levels (positive, negative and critical) and physical cycle (p = 0.96). The value of Chi-Square was equal to 2.63 that showed there was no significant relationship between different levels of physical cycle and the results (win or lose) of match (p = 0.026). Conclusion: The results of this study revealed that physical performance did not depend on 23-day cycle, stated in the Biorhythm theory, and there was no evidence proving existence of these cycles. It can be concluded that there is no justifying reason to use the Biorhythm software in hard exercises.
Highlights
The purpose of this study is to verify if there is any significant difference between body fat estimation by calculating body mass index and by using bioelectrical impedance analysis
From this point of view the number of subjects presenting an important percentage of body fat surpasses by far optimistic result of body mass index (BMI) calculated previously
The ratio body fat percentage of muscle/mass, measured in the research sample, revealed that in 81 of subjects muscle mass percentage is bigger than body fat percentage; in 2 cases those two variables were equal and in 73 subjects body fat percentage was higher than muscle mass
Summary
Purpose: the purpose of this study was to verify if there is any significant difference between body fat assessment by calculating body mass index and by using bioelectrical impedance analysis. While by calculating BMI the found number of overweight and obese subjects was 23 from the total of 156, (14 %); by measuring body fat percentage that number increased to 67 (43%) of girl students in the sample. The purpose of this study is to verify if there is any significant difference between body fat estimation by calculating body mass index and by using bioelectrical impedance analysis. Body composition was assessed with a bioelectrical impedance analysis technology It showed data about body fat and muscle mass percentage. Body fat values below 8% represent a risk of diseases and disorders associated with wrong eating and above 31% are a marker of diseases associated with obesity
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