درخت حوزه‌های تخصصی

Background: The COVID-19 pandemic has resulted in global home confinement and quarantine, leading to the vaccination of societies worldwide. However, some elite athletes have negative views toward vaccination. Aim: This study aimed to compare the lifestyle of vaccinated versus unvaccinated international elite athletes during the COVID-19 pandemic. Materials and Methods: From March to October 2021, an online survey was conducted, including socio-individual information of athletes, the International Physical Activity Questionnaire (IPAQ), the Rapid Eating Assessment for Participants (REAP-S), and the Petersburg Sleep Quality Questionnaire (PSQI). A total of 581 elite athletes from 4 continents (Europe, Asia, Africa, and America) and different countries, aged 18-35 years, were voluntarily recruited. Data analysis was performed using U-Mann-Whitney and Wilcoxon signed-rank tests, with the level of significance set at alpha P <0.05. Results: The results indicated that there was a significant difference between the level of physical activity and eating behavior of vaccinated versus unvaccinated elite athletes ( P <0.001). However, no significant difference was found between the quality of sleep among vaccinated and unvaccinated elite athletes ( P =0.270). Conclusion: It was shown that, despite the unvaccinated status of some elite athletes (49.9%), their physical activity levels were higher than those of vaccinated elite athletes during the COVID-19 pandemic. Additionally, the eating behavior of vaccinated elite athletes was better than that of unvaccinated elite athletes during the COVID-19 pandemic, but there was no significant difference in the quality of sleep between the groups.

Purpose: High-intensity interval training (HIIT) is an effective training method for improving the aerobic and anaerobic power of athletes; however, the role of activity volume in high-intensity interval training efficiency is still unclear. Therefore, in the present study, the effects of low- and high-volume HIIT on aerobic power, anaerobic power, and lactate response in young soccer players were compared. Method: In this study, 24 professional soccer players aged 20 to 22 who had no history of illness or taking supplements were chosen and randomly assigned to two groups of high-volume and low-volume HIIT. High-intensity interval training was completed for eight weeks. Training sessions included 5 min of warm-up, the main training phase, and cooling down. The training phase in the first week included 8 repetitions of 15 s of running with maximum power and 15 s of rest. Every week, the number of repetitions was increased by two. High-volume interval training was conducted for six sessions per week while low-volume interval training was performed for three sessions per week. After the training intervention, aerobic power was measured using the one-mile running test, and anaerobic power was evaluated using the Running-Based Anaerobic Sprint Test (RAST). Moreover, the level of blood lactate resulting from the RAST test was also measured using a lactometer. To statistical analyses repeated measure ANOVA was used. Results: Blood lactate levels were reduced by 12% (p=0.001) in the high-volume interval group and by 10% (p=0.001) in the low-volume interval group in response to exercise. In addition, statistical analysis revealed that the blood lactate levels in response to exercise after 8 weeks of training were similar in both groups. On the other hand, despite the rise in aerobic and anaerobic power in both groups, there was no significant difference in aerobic and anaerobic power between the high-volume and low-volume groups after eight weeks of interval training. Conclusions: Overall, the findings of the present research indicated that high-intensity interval training will reduce lactate and increase aerobic and anaerobic capacity, regardless of the training volume.

Nowadays, the prominent role of the customer in the global arena reveals the urgent need for proper management of customer relationships. This has led to a new shape of CRM known as Social CRM. This study analyzes data from 384 customers of sports facilities in the East Azerbaijan province of Iran using the structural equation model (SEM) approach. The findings revealed that the SEM used is a strong theoretical model for social CRM capabilities, customer-oriented management system (COMS), and social media technology use (SMTU). Moreover, the social CRM capabilities have a significant impact on customer relationship performance. From an academic perspective, this study helps to understand the experiences of customers of sports facilities during their interaction on social media and focuses on long-term customer relationships. From a sports management perspective, sports facilities should use the insights created through social CRM capabilities to guide effective sports marketing strategies toward customer relationship performance.

The purpose of the current research was to investigate and prioritize the promoting and inhibiting factors in the development of women's professional basketball in Khorasan Razavi, Iran. This is a mixed study conducted with an exploratory-analytical approach. In the qualitative part of the research, the interviewees included sports management professors, prominent basketball pioneers in Khorasan Razavi province, professional female basketball players, as well basketball boards’ managers and representatives. In the quantitative phase, the statistical population included professional female basketball players, coaches, and basketball pioneers in Khorasan Razavi. In general, 8 interviews and 134 questionnaires were collected in the research process. The qualitative data was analyzed through the content analysis method while the quantitative data analysis process was completed by using SPSS software (v. 22) and exploratory factor analysis, as well as Friedman's ranking tests. The findings of the research revealed that out of 48 items obtained as effective factors on the development of women's professional basketball in Khorasan Razavi province, 25 items were considered as promoting factors and 23 items were found as inhibiting factors. Also, based on the results of the exploratory factor analysis test, 6 promoting factors ("socio-cultural factors", "technical level", "basic factors", "expert human resources", "competition and event", and "scientific indicators") and 5 inhibiting factors ("financial issues", "motivational supportive factors", "facilities factor", "club ownership" and "management perspective”) were identified. "