Sustainable education involves educating young people about the importance of varied physical activities and developing long-term skills for an active lifestyle. We choose basketball as a method for sustainable education because it is a sport with diverse technical procedures and tactical actions anda game that plays a significant role in cognitive functional development. This study aims to modernize physical education and sports education to meet current trends and needs. A modern approach to lessons can contribute to the mental and motor development of young people, forming individuals who value movement for health and physical well-being. Thus, integrating VR into physical education lessons (using the means of basketball) represents a paradigm shift in how students prepare and improve their motor function. The study focuses on non-specialized higher education, combining the cognitive benefits of sports with sustainable practices, as we found his to be a gap in our literature review. The experimental program used Raven’s Progressive Matrices, a cognitive ability test, to measure general intelligence. The data were collected on two groups of children (control and experimental, at the beginning of the experiment and after 39 lessons of 100 min each). The t Test results applied in SPSS showed a significant increase in average scores for Raven’s Progressive Matrices after performing the motor program using basketball-specific means, especially for the experimental group. In conclusion, basketball can be a valuable tool for improving cognitive abilities, along with academic and social stimulation, being the key to complete intellectual development.

Aim. This study examined whether temperament characteristics differ among basketball coaches according to coaching performance level and gender. Material and method. A total of 54 basketball coaches participated in the study, including 28 medal-winning coaches at National Championships (9 at U14 level and below; 19 at U16 and senior level) and 26 coaches without medals. The sample also included 24 female and 30 male coaches. Temperament was assessed using a 21-item online questionnaire based on the Heymans’ Cube model. Results. Data were analyzed using the Kruskal-Wallis test and independent samples t-test. No statistically significant differences were identified between coaching performance groups regarding emotionality, non-emotionality, activity, non-activity, or primary-secondary functioning (p > .05). However, descriptive trends suggested that coaches with higher competitive achievements tended to show lower emotionality, higher activity, and slightly stronger secondary tendencies, reflecting a potentially more reflective and action-oriented temperament profile. Significant gender differences were found for emotionality and non-emotionality. Female coaches scored significantly higher in emotionality (p < .001), indicating greater emotional responsiveness, whereas male coaches scored significantly higher in non-emotionality. No statistically significant gender differences were found for activity, non-activity, or primary-secondary functioning, although male coaches showed slightly higher descriptive activity scores. Conclusions. These findings suggest that gender may represent a more relevant differentiating factor than coaching performance regarding temperament characteristics, particularly emotional responsiveness, with potential implications for coaching behavior, emotional regulation, and decision-making in competitive sport contexts.

Monitoring physiological parameters is vital for tracking swimmers’ progress and performance. This study examines an elite male swimmer’s nutrition during his preparation for the 2024 Paris Olympics, considering his metabolic rate and body composition. His resting energy needs (2905 ± 407.99 kcal/day) were measured using indirect Cosmed K5, calorimetry, and body composition determined through skinfold measurements. Nutrition plans were developed using software, varying with his training intensity—providing 2910 ± 379 kcal/day on rest days, and 4238 ± 562 kcal/day on intense days. The analysis of the correlations between key variables revealed strong and diverse interactions among anthropometric, metabolic data, and energy substrates. Thus, weight exhibited a very strong positive correlation with lean mass (FFM), indicating that higher weight is associated with increased lean mass. Conversely, the moderate correlation between weight and body fat percentage suggests a weaker association. The amount of skin folds accurately reflects the body fat percentage. Ensuring that a high-energy dietary intake aligned with his actual needs throughout the season was crucial for sustaining performance. Experimenting with fueling and recovery tactics during smaller competitions enabled the athlete to meet energy and nutrient demands at the elite level.