Search Results - Condition

Lee, D.-G., Jung, J.-H., Chae, W.-S. “…The aquabag, with its fluctuating resistance, promotes unstable landings compared to the barbell, potentially improving athletes adaptation to real-world conditions. It may aid Taekwondo athletes in enhancing landing mechanics and preparing for instability. …”

Twohey, E., Dobbs, W. C., Malone, C. M., Fields, J. B., Jones, M. T., Jagim, A. R. “…The Journal of Strength and Conditioning Research…”

Sajjadi, S. S., Aziminia, M., Abbasi, A., Tazji, M. K. “…Discussion and Conclusion The findings suggest that adaptations developed through years of training under various menstrual cycle conditions may mitigate the significant impact of this factor on the performance of elite athletes. …”

Lampe, N., Lascau, F. D., Kajmovic, H., Meško, M. “…Sixty-three referees completed an online questionnaire including the Big Five Inventory (BFI) and the Conditions for Work Effectiveness Questionnaire (CWEQ-II). …”

Razazan, R., Hemmatinafar, M., Imanian, B., Jahaniboushehri, N., Rezaei, R., Nazemzadegan, G. “…SWFT throw count was highest in CAF+THE versus all other conditions (p < 0.001). Post-SWFT Stroop reaction time was faster in CAF+THE than PLA (p = 0.004) and THE (p = 0.036), and accuracy was also higher (p = 0.009 vs PLA). …”

Dobkowska-Szefer, D., Staskiewicz-Bartecka, W., Kiciak, A., Kardas, M. “…Sex differences emerged: women scored higher on EAT-26 Part A (p=0.021) and reported lower body-esteem in sexual attractiveness and weight control, whereas men most often reported medium physical attractiveness with frequent low ratings for upper-body strength/physical condition. In women, higher body-esteem correlated with lower EAT-26 totals, and EAT-26 correlated positively with DOS-PL (r=0.367, p=0.036); these associations were not observed in men. …”

Iversen, V. V., Hafstad, A. B., Falco, C., Kristoffersen, M. “…Nevertheless, the Norwegian national team exhibit levels of physical and physiological conditions aligned with other elite athletes in other combat sports. …”

Gierczuk, D., Jówko, E., Zawadzki, W., Cieslinski, I., Sadowski, J. “…The Journal of Strength and Conditioning Research…”

Jagim, A. R., Dobbs, W. C., Horswill, C. A., Twohey, E., Fields, J. B., Jones, M. T. “…The Journal of Strength and Conditioning Research…”

Demirli, A., Gökçelik, E., Moghanlou, A. E., Ocak, M. H., Terzi, M., Yamaner, E., Atici, M., Akyüz, Ö., Toy, A. B. “…Immediate post-SJFT heart rate and perceived exertion did not differ between conditions (p>0.05). Conclusion: Acute BRJ is a practical, natural ergogenic aid for adolescent judokas, enhancing explosive power, muscular strength, and judo-specific performance. …”

Tascan, M. B., Akkus, C., Turgut, E. “…The Journal of Strength and Conditioning Research…”

Yamashita, D., Yamazaki, K., Yamagishi, T., Tsubokura, H., Washif, J. A., Mujika, I. “…Conclusion: Overall, the pandemic experience emphasized the importance of robust, adaptable athlete-support systems capable of modifying training under constrained conditions. These findings highlight the value of well-defined return-to-play approaches, better communication among support staff, and holistic support strategies (well-being, etc.) to enhance resilience during future disruptions.…”

Han, Y., Xie, Y., Niu, Z., Jia, J., Zhang, Z. “…Participants performed three repetitions at 30%-70% predicted 1RM, two repetitions at 75%-90% predicted 1RM, and one repetition at 95%-100% predicted 1RM, with a 10-second rest between repetitions and a 5-minute rest between load conditions. Results: We found a close relationship between MV and relative load (%1RM) in both BSS and BS exercises for the non-dominant legs (coefficient of determination; R2 = 0.94, standard error of estimate; SEE = 0.05 m·s-1), dominant legs (R2 = 0.94, SEE = 0.05 m·s-1), and back-squat (R2 = 0.95, SEE = 0.05 m·s-1), reflecting a nearly perfect relationship as per standard interpretations of coefficient strength. …”

Nasioudis, C., Xronopoulos, A., Panayiotou, G., Lailoglou, A., Sotiropoulos, K. “…Future research should further explore the interplay between physical and psychological conditioning to optimise competitive performance in elite judo. …”

Yildirim, E., Koç, H. “…A significant main effect of time was observed on agility performance (F(4,64) = 11.103, p < 0.001, (U+03C9)² = 0.110), while no significant main effect of condition emerged. A small but significant interaction effect (F(12,192) = 1.866, p = 0.041, (U+03C9)² = 0.017) suggested time-dependent differences among conditions. …”

Jin, R., Huang, M., Yi, W., Finlay, M. J., Chen, C. “…This study aimed to investigate and compare the acute effects of Dumbbell Throw (DBT) and Dumbbell Push (DBP) as punch-specific conditioning activities on subsequent punch performance in male amateur boxers, based on the post-activation performance enhancement (PAPE) framework. …”

Uca, M., Ayvaz, E., Yildiz, Z. “…Study Sample: A one-way ANOVA revealed a statistically significant scoring discrepancy in Zone D under the traditional-rope condition (F(5, 90) = 2.442, p = .040). Dunnett`s post-hoc test showed that one referee`s scores significantly diverged from the video-based reference scores established via multi-angle review (p = 0.007), while no such discrepancies were observed in the transparent rope setting. …”

Kuzdzal, A., Clemente, F. M., Klich, S., Kawczynski, A., Trybulski, R. “…Both groups participated in three sessions, either in the MTDN intervention or the control condition. All athletes, who were experiencing neck pain, were evaluated at rest, after one session, after three sessions, and again 72 hours after the third session. …”

Karelin, A., Brazhenko, D., Kliukovkin, G., Chernenko, Y. “…The system consistently operated at 60 FPS with low latency and high robustness across diverse lighting conditions. These results indicate the potential of Apple Vision Pro as a platform for precision sports training and highlight the educational impact of mixed reality in democratizing access to high-quality boxing instruction. …”

Huang, S.-C., Pierce, T., Lin, Y.-A., Loh, K. J. “…The collected Motion Tape data was used to train and compare time series classification algorithms to identify the types of punches performed and associated conditions. The results demonstrated that Motion Tape, in combination with machine learning techniques, could effectively classify different punch types based on skin-strain measurements. …”