درخت حوزه‌های تخصصی

Effective strategic leadership entails the implementation of diverse management strategies to develop a forward-looking perspective for the organization. Such a perspective enables the organization to adjust and remain competitive in a continuously changing economic and technological environment. This study aimed to design a strategic leadership model for sports federations in Iran. This study was applied in terms of purpose and adopted a mixed method with an exploratory approach. The statistical population of the qualitative study consisted of experts in the field of sports federations who were selected purposefully, and finally,  14 experts were selected as the research participants based on data saturation approach. The statistical population in the quantitative phase included 319 subjects (president, vice-president, secretary, and three members of the Board of Directors of sports federations) selected through stratified random sampling. The research data collection tool in the qualitative phase was a semi-structured interview whereas, in the quantitative section, a researcher-made questionnaire was developed from interviews' data. Data in the qualitative phase were analyzed using experts’ points of view, and in the quantitative phase, exploratory factor analysis, confirmatory factor analysis, divergent and convergent validity, and structural equation tests were used. Moreover, the face, content, and construct validity of the instrument were confirmed. Finally, the model of strategic leadership of sport federations was presented with seven factors including strategic orientation, human resources development, learning strategy, team leadership, strategic control, effective interaction culture, and ethical strategy.

Purpose: This study aimed to investigate the effect of PMS on aerobic, anaerobic, and cognitive performance in female combat athletes. Method: In this semi-experimental study with a repeated measures design, 20 female combat athletes (mean age: 24.5±2.1 years) were assessed during two phases of their menstrual cycle: the PMS phase (7-10 days before menstruation) and the non-PMS phase (days 7-14 of the cycle). Aerobic performance was measured using the Bruce treadmill test, anaerobic performance was assessed by the Wingate test, and cognitive performance was evaluated through simple and choice reaction time tests. Statistical analyses were performed using paired t-tests and Pearson correlation (p<0.05). Results: The findings showed a significant reduction in VO₂ max (6.2%), time to exhaustion, and a significant increase in maximal heart rate and Rate of Perceived Exertion (RPE) during the PMS phase compared to the non-PMS phase (p<0.05). Anaerobic performance also declined, with a reduction in peak power (6.2%) and mean power (7.5%), an increase in fatigue index (16.2%), and lower blood lactate levels (p<0.01). Cognitive performance deteriorated during PMS, demonstrated by increased simple (16.7%) and choice (16.6%) reaction times, more errors, and decreased accuracy (p<0.01). Furthermore, there was a significant positive correlation between PMS symptom severity and VO₂ max reduction (r=0.72), as well as between blood lactate levels and reaction time (r=0.65) (p<0.01). Conclusion: PMS negatively affects aerobic, anaerobic, and cognitive performance in female combat athletes. These findings highlight the importance of considering the menstrual cycle phases in designing training and competition schedules for female athletes to optimize performance and prevent potential declines associated with PMS.