درخت حوزه‌های تخصصی

Introduction: The current study aimed to evaluate the effects of different musical intensities on performance and cardiovascular responses after incremental exercise in male athletes.  Materials and Methods: In this quasi-experimental study with a cross-over design, 15 male athletes were voluntarily selected. The study subjects performed Bruce protocol, along with listening to progressive music, slow music, and without music until exhaustion.  Results: This study indicated that systolic and diastolic blood pressure, maximum oxygen consumption, maximum heart rate, and time to exhaustion insignificantly decreased while listening to slow music, compared to the no music (P=0.134, P=0.993, P=0.999, P=0.160, P=0.819, respectively). Furthermore, while listening to progressive music, compared to no music, the systolic and diastolic blood pressure, as well as maximum heart rate insignificantly increased (P=0.735, P=0.999, P=0.496, respectively); the maximum oxygen consumption and the time of exhaustion significantly increased in the study subjects (P=0.043, P=0.008 respectively). Moreover, while listening to progressive music, compared to slow music, the systolic blood pressure, maximum oxygen consumption, maximum heart rate, and the time of exhaustion significantly increased (P=0.004, P=0.009, P=0.002, P=0.001 respectively); however, diastolic blood pressure presented an insignificant decrease (P=0.253).  Conclusion: The obtained findings revealed that listening to progressive music can affect physiological factors and performance during exercising. It increases the athlete’s motivation and postpones the time to exhaustion to continue exercising; however, listening to slow music creates a state of relaxation during exercise and reduces heart rate. As a result, individuals with hypertension can decline their blood pressure during endurance exercise by listening to soft music.

The purpose of this study was to identify barriers to the development of the electronic-marketing in the sports industry. The present study is a correlational and applied one. The statistical population consisted of 203 individuals including university faculty members, experts, managers of sport federations, members of sport federations board, and experts in e-marketing. The available non-random sampling method is also used in this research. Moreover, data collection tool was a researcher-made questionnaire that was extracted from two external articles. Besides, ten experts in sport management confirmed the validity of the questionnaire. The reliability of the questionnaire was likewise calculated using Cronbach alphas test. Confirmatory factor analysis and structural equation modeling were used to analyze the questionnaire data. The results showed that sports marketing barriers were cultural and social, technical, legal and organizational, high cost, limitation of government support, lack of information, low skills of staff and finally security threats. It is suggested that the policy makers of the country's sports industry consider these barriers before developing strategies for developing e-marketing capabilities.