This study investigated the impact of basketball-induced fatigue on 3-point jump shooting accuracy, the ball’s entry angle (EA) into the hoop, shot release time (RT), their relationship with player positions in high-level basketball, and the correlation between cardiorespiratory fitness markers and potential shooting performance changes. Guards (n = 13), forwards (n = 13), and centers (n = 12) underwent physiological assessments. Sequentially, they performed 15 jump shots (PRE), a basketball exercise simulation (BEST) involving 24 × 30 s circuit activities, and a repeated shooting test (POST). The study design was double-blind. The results revealed significant differences (p ≤ 0.05) in RT, EA, and successful shots (SSs) between PRE and POST in each group. The percentage changes from PRE to POST conditions across guards, forwards, and centers were for RT: 25.34% [95%CI: 1.7–48.98], 19.73% [95%CI: −1.9–41.36], 14.95% [95%CI: −5.23–35.13]; for EA: −3.89% [95%CI: −14.82–7.04], −3.13% [95%CI: −12.9–6.64], −3.47% [95%CI: −14.19–7.25]; and for SS: −14.42% [95%CI: −36.5–7.66], −16.76% [95%CI: −40.81–7.29], −19.44% [95%CI: −46.7–7.82], respectively. Post-test differences (p ≤ 0.05) highlighted greater fatigue impact on RT, EA, and SS from guards to centers. Additionally, significant correlations (p ≤ 0.05) were found between the ventilatory threshold, mean HR during BEST, and changes in RT, EA, and SS. This study highlights the substantial impact of basketball-induced fatigue on 3-point shooting parameters across player positions and the interplay with cardiorespiratory factors post-fatigue. Tailored training, considering heart rate, is crucial to optimizing shooting performance.

Hotel Spa managers’ perceptions of service quality in Greece

Pre-exercise mangiferin–quercetin may enhance athletic performance. This study investigated the effect of mangiferin–quercetin supplementation on high-level male basketball players during a basketball exercise simulation test (BEST) comprising 24 circuits of 30 s activities with various movement distances. The participants were divided into two groups (EXP = 19 and CON = 19) and given a placebo one hour before the BEST (PRE-condition). The following week, the EXP group received mangiferin–quercetin (84 mg/140 mg), while the CON group received a placebo (POST-condition) before the BEST in a double-blind, cross-over design. The mean heart rate (HR) and circuit and sprint times (CT and ST) during the BEST were measured, along with the capillary blood lactate levels (La⁻), the subjective rating of muscle soreness (RPMS), and the perceived exertion (RPE) during a resting state prior to and following the BEST. The results showed significant interactions for the mean CT (p = 0.013) and RPE (p = 0.004); a marginal interaction for La⁻ (p = 0.054); and non-significant interactions for the mean HR, mean ST, and RPMS. Moreover, the EXP group had significantly lower values in the POST condition for the mean CT (18.17 ± 2.08 s) and RPE (12.42 ± 1.02) compared to the PRE condition (20.33 ± 1.96 s and 13.47 ± 1.22, respectively) and the POST condition of the CON group (20.31 ± 2.10 s and 13.32 ± 1.16, respectively) (p < 0.05). These findings highlight the potential of pre-game mangiferin–quercetin supplementation to enhance intermittent high-intensity efforts in sports such as basketball.

Background/Objectives: This study examined the influence of competition level and player position on shooting accuracy and kinematic parameters in U18 male basketball players, focusing on two-point jump shots and free throws. Methods: Thirty-eight higher-level (HL-group) and forty-one lower-level (LL-group) participants, categorized into guard, forward, and center subgroups, completed a two-point basketball shooting test, followed by a free-throw shooting test after a 30 min interval. These tests were administered using a crossover, counterbalanced approach with the Latin square method to ensure effective randomization. Results: The results indicated that the HL group displayed significantly faster (12.5%) shot release times (RTs) and closer-to-optimal 45° (8.1%) ball entry angles (EAs) into the hoop for free throws, as well as superior (24.2%) shot success rates (SSRs) for two-point jump shots compared with the LL group. Across all groups and subgroups, a higher EA was achieved in two-point shots than in free throws, though free throws showed higher SSR. This study found no positional differences in shooting mechanics or performance, suggesting that modern training practices may foster consistency across player roles. Conclusions: These findings emphasize the potential for targeted drills to improve RTs, EAs, and SSRs, especially in LL players. Coaches can apply these insights to enhance shooting mechanics and consistency, thereby elevating performance in young basketball athletes. Future research should investigate the impact of fatigue and defensive pressure on shooting parameters across varied competitive contexts.

The purpose of the present study was to investigate the effect of two different methods ofmeasurement for hamstring flexibility. Forty male students athletes with mean age 23.45±0.44years and forty non-athletes students with a mean age 23.08±0.98 years participated in this study.Hamstring flexibility was evaluated by two different methods of measurement: a) a Myrin goniometerand b) sit and reach test. Statistical analysis included the use of Independent Samples Ttestwhile significance was set at p<0.01. The results indicated that athletes students scored betterthan non-athletes students only when hip joint’s mobility was measured with a Myrin goniometer.In conclusion the evaluation of joint's mobility should be done by using a method of measurementthat would isolate the articulation of measurement from the interjection of other joints ormuscular teams something that is achieved by the use of Myrin goniometer than the use of Sitand Reach test

This dataset was created with the primary objective of elucidating the intricate relationship between the incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) re-infections and the pre-illness vaccination profile and types concerning alterations in sports-related physical activity (PA) after SARS-CoV-2 infection among adults. A secondary objective encompassed a comprehensive statistical analysis to explore the influence of three key factors—namely, Vaccination profile, Vaccination types, and Incidence of SARS-CoV-2 re-infections—on changes in PA related to exercise and sports, recorded at two distinct time points: one to two weeks prior to infection and one month after the last SARS-CoV-2 infection.