Suchergebnisse - Behavior Research Methods

Milovanovic, G., Rasic Ozegovic, J., Jovicic, D., Radivojevic, N., Rancic, N., Stojicevic, J., Marjanovic, S., Vesic, Z., Vukasinovic-Vesic, M. “… Conclusions: These findings reveal a pronounced gender disparity in doping behavior and substance choice, providing a foundation for further research and emphasizing the need for gender-sensitive anti-doping education and policy. …”

Özbal, A. F., Ektirici, A., Ceylan, B. “… This study examined the extent, methodologies, and contributing variables of WL among Olympic-level judo competitors during the qualifying cycle, positing that elevated WL scores signify detrimental practices. Research data was collected using the cross-sectional survey method.  …”

Kaliczynska, L. “… Eating disorders in sports represent a significant health issue that has drawn the attention of researchers worldwide. Selected studies suggest that disordered eating behaviors among athletes occur more frequently than in non-athletic individuals (Ghazzawi et al., 2024; Jaššová & Dostal, 2022; Torstveit et al., 2008).  …”

Pacheco, R., Ribeiro, J., Couceiro, M., Davids, K., Garganta, J., Marques-Aleixo, I., Nakamura, F., Casanova, F., González-Víllora, S. “… Results showed how this social network analysis method may provide researchers, coaches and performance analysts with relevant information regarding the functional properties of teams in the defensive phase of the game.  …”

Alves, R., Dias, G., Nunes, N. A., Querido, S. M., Vaz, V. “… Introduction: This systematic review aims to critically examine the application of social network analysis (SNA) in football, with a focus on its contribution to evaluating team performance, tactical behavior, and player interactions. Methods: Following PRISMA guidelines, a comprehensive search was conducted across four databases (PubMed, Scopus, Web of Science, and SPORTDiscus) from January 2017 to October 2024.  …”

Zhou, C., Cai, Y., Li, K., Zhang, X., Tang, C.

Grivas, G. V., Safari, K. “… Results: AI systems effectively integrate multimodal physiological, environmental, and behavioral data to enhance metabolic health monitoring, predict recovery states, and personalize nutrition.  …”

Wang, R., Li, S., Wu, Y., Liu, H., Zhang, Q.

Roca, A., Pocock, C., Ford, P. R.

Zhou, R., Hao, X., Deng, P., Li, D., Song, Y., Zhang, Y.

Fang, W., Qi, Y., Wang, Y., Li, K., Du, X., Shao, B. “… Results Our findings revealed that basketball athletes showed distinct neurocognitive profiles between basketball athletes and non-athletes during the Swimmy task performance. Behaviorally, athletes showed better conflict resolution accuracy in incongruent trials despite similar reaction times, indicating enhanced inhibitory control.  …”

Rostami Haji Abadi, M., Kwaghbo, N., Onyeso, O. K., Sadia, F., Benavides Castro, J. K., Santos Silva, D. A., Yan, Y., Shen, Y., Hamrik, Z., Sarmiento, O. L., Liu, Y., Tremblay, M. S., Larouche, R. “… Background: Questionnaires remain the most feasible method for large-scale physical activity (PA) surveillance.  …”

Radovan, F., Solstad, B. E., Kjær, J. B., Melin, A., Ausland, Å., Bjärsholm, D., Ivarsson, A., Torstveit, M. K., Laxdal, A., Augustsson, S. R., Linner, S “… Knowledge and social support can, however, help athletes navigate the biopsychosocial (BPS) puberty-related changes associated with this period. Yet, research on female athletes' knowledge about BPS puberty-related topics is lacking.  …”

Li, H., Yang, Q., Wang, B. “… This meta-analysis systematically evaluated the effects of psychological interventions on athletes` anxiety levels. Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines.  …”

Zhao, J., Yang, Y., Zhang, H., Nie, Y., Wang, Q. “… A point detection paradigm was also utilized to test the athletes` attentional bias behavior in a pre-competition anxiety situation before and after training.  …”

Kurova, A., Popovych, I., Shevchenko, N., Lialiuk, G., Chernyavska, T., Kolly-Shamne, A., Yaremchuk, V., Shcherbak, T. “… It was summarized that emotional stability is the most loaded and actualized characteristic in the research conditions. The factor structure of dominant mental states of junior athletes` coping behavior was created.  …”

Reyes-Bossio, M., Corcuera-Bustamante, S., Veliz-Salinas, G., Boas Junior, M. V., Delgado-Campusano, M., Brocca-Alvarado, P., Caycho-Rodríguez, T., Casas-Apayco, L., Tutte-Vallarino, V., Carbajal-León, C., Brandão, R. “… Introduction: Intervention programs in sports psychology aid to modify the thoughts and behaviors of athletes in order to improve their performance in sports settings.  …”

Edriss, S., Romagnoli, C., Caprioli, L., Bonaiuto, V., Padua, E., Annino, G. “… Merging vision sensors with built-in artificial intelligence and machine learning software to create 2D-to-3D pose estimation is highlighted as a promising method to address these challenges, supporting the broader adoption of markerless motion analysis in future kinematic and biomechanical research. …”

Jutamulia, I., Hosoi, A. E.

Gao, T., Shi, P., Zhang, D., Wang, G., Zhang, J. “… Objective To quantitatively access the visual search of soccer players in the 3V3 offensive tactical situation and explore the eye movement characteristics and information processing mechanisms of high-level athletes under multi-target tracking. Methods Using the expert-novice research paradigm, eight second-level soccer players were selected as the expert group, and eight university students majoring in soccer were selected as the novice group.  …”