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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.

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.

The impact of lockdown on life style and behaviour have piqued the interest of people and scientific community, all over the world. It has been demonstrated that in some countries, mandatory stay-at-home limitations and self-isolation measures are linked to an increase in sleeping hours and smoking cigarettes per day. However, these results derive from countries that lockdown had different features and length, and it is possible that society, culture, customs, ecological or other factors may independently or in combination affect life style habits (such sleeping and smoking) in different populations. So, we focus on sleeping and smoking changes in Greek adults during the lockdown of early COVID-19 presence in Greece. Therefore, our aim was to investigate whether lockdown alters smoking and sleeping habits and whether physical activity (PA), gender, age or body mass index (BMI) play a role. The modified online-based Active-Q (Greek version) questionnaire (see Supplementary file 1_Active-Q_modyfied) was used to collect data prior to the COVID-19 pandemic (PRE condition) and during physical distancing and lockdown measures (POST condition). The data period collection was from April 4 to April 19, 2020 (15 days in total) and respondents classified into four PA categories based on their sporting activities (PRE condition), five age categories and four BMI categories, which corresponding to different subgroup. Overall, sleeping hours change (from PRE to POST condition) was 11.80% and smoking cigarettes per day change was 9.35%. However, it appears that between the different subgroups significant differences were also identified.