THE RELATIONSHIP BETWEEN BIORHYTHM (PHYSICAL CYCLE) AND SPORTS PERFORMANCE IN WOMEN'S BASKETBALL

Shahram Shafiee; Ramezaninezhad Rahim; Afrouzeh Hakime; Rabbani Vahid

doi:10.15561/20755279.2016.0307

Authors

Shahram Shafiee Faculty of Physical Education and Sport Sciences, University of Guilan http://orcid.org/0000-0002-8208-0846
Ramezaninezhad Rahim Faculty of Physical Education and Sport Sciences, University of Guilan http://orcid.org/0000-0003-4646-1892
Afrouzeh Hakime Faculty of Physical Education and Sport Sciences, University of Guilan http://orcid.org/0000-0002-4774-5101
Rabbani Vahid Allameh Tabataba’i University http://orcid.org/0000-0001-8302-5251

DOI:

https://doi.org/10.15561/20755279.2016.0307

Keywords:

biorhythm, performance, sports, physical cycle

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.

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