Reporting Executive Dysfunctions versus Measuring Executive Functions as Predictor of Cognitive Skills in Athletes
DOI:
https://doi.org/10.51224/SRXIV.150Keywords:
Executive Functions, Self reporting, Talent identification, Cognitive diagnosticsAbstract
Cognitive diagnostics, especially the measurement of executive functions (EFs) in the context of sports and talent diagnostics, is a popular research topic. However, research is lacking on the extent to which self-reports are sufficient to examine the EFs of athletes for performance diagnostics. Thus, the current study aims to evaluate the relationships between neuropsychological tasks (3-back task, cued GoNoGo task, flanker task, and number-letter task) and a self-report for examining EFs (BRIEF-SB). Furthermore, it should be investigated whether it is possible to predict the outcome of EF tasks using a self-report inventory. Therefore, 68 young professional soccer players (Mage = 14.26 ±1.35 years) from a national youth academy were included in the study. The weak-to-moderate correlations (r[59] = .000, p = .999 to r[59] = -.442, p < .01) and the results of sensitivity analysis (0.125 to 0.538) do not suggest using a self-report of EFs for cognitive performance diagnostics. The inventory is only suitable for identifying executive dysfunctions in athletes recovering from head injuries or concussions.
Metrics
References
References
Alosco, M. L., Kasimis, A. B., Stamm, J. M., Chua, A. S., Baugh, C. M., Daneshvar, D. H., Robbins, C. A., Mariani, M., Hayden, J., Conneely, S., Au, R., Torres, A., McClean, M. D., McKee, A. C., Cantu, R. C., Mez, J., Nowinski, C. J., Martin, B. M., Chaisson, C. E., . . . Stern, R. A. (2017). Age of first exposure to American football and long-term neuropsychiatric and cognitive outcomes. Translational Psychiatry, 7(9), e1236. https://doi.org/10.1038/tp.2017.197
Beavan, A., Spielmann, J., Mayer, J., Skorski, S., Meyer, T., & Fransen, J. (2020). The rise and fall of executive functions in high-level football players. Psychology of Sport and Exercise, 49, 101677. https://doi.org/10.1016/j.psychsport.2020.101677
Beavan, A. F., Spielmann, J., Mayer, J., Skorski, S., Meyer, T., & Fransen, J. (2019). Age-related differences in executive functions within high-level youth soccer players. Brazilian Journal of Motor Behavior, 13(2), 64–75. https://doi.org/10.20338/bjmb.v13i2.131
Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.
Drechsler, R., & Steinhausen, H.‑C. (2013). Verhaltensinventar zur Beurteilung exekutiver Funktionen BRIEF. Deutschsprachige Adaption des Behavior Rating Inventory of Executive Function. Hogrefe Verlag.
Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. https://doi.org/10.3758/BF03203267
Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000). Behavior rating inventory of executive function. Child Neuropsychology : A Journal on Normal and Abnormal Development in Childhood and Adolescence, 6(3), 235–238. https://doi.org/10.1076/chin.6.3.235.3152
Heilmann, F., Weinberg, H., & Wollny, R. (2022). Impact of practicing open- vs. Closed-skill sports on executive functions. https://doi.org/10.51224/SRXIV.97
Kilger, M., & Blomberg, H. (2020). Governing talent selection through the brain: Constructing cognitive executive function as a way of predicting sporting success. Sport, Ethics and Philosophy, 14(2), 206–225. https://doi.org/10.1080/17511321.2019.1631880
Kirchner, W. K. (1958). Age differences in short-term retention of rapidly changing information. Journal of Experimental Psychology, 55(4), 352.
Montuori, S., D'Aurizio, G., Foti, F., Liparoti, M., Lardone, A., Pesoli, M., Sorrentino, G., Mandolesi, L., Curcio, G., & Sorrentino, P. (2019). Executive functioning profiles in elite volleyball athletes: Preliminary results by a sport-specific task switching protocol. Human Movement Science, 63, 73–81. https://doi.org/10.1016/j.humov.2018.11.011
Rogers, R. D., & Monsell, S. (1995). Costs of a predictible switch between simple cognitive tasks. Journal of Experimental Psychology: General, 124(2), 207–231. https://doi.org/10.1037/0096-3445.124.2.207
Rosso, E. G. F. (2016). Brief report: Coaching adolescents with autism spectrum disorder in a school-based multi-sport program. Journal of Autism and Developmental Disorders, 46(7), 2526–2531. https://doi.org/10.1007/s10803-016-2759-8
Roth, R. M., Isquith, P. K, & Gioia, G. A. (2014). Assessment of executive functioning using the behavior rating inventory of executive function (brief). In Handbook of executive functioning (pp. 301–331). Springer.
Sakamoto, S., Takeuchi, H., Ihara, N., Ligao, B., & Suzukawa, K. (2018). Possible requirement of executive functions for high performance in soccer. PloS One, 13(8), e0201871. https://doi.org/10.1371/journal.pone.0201871
Scharfen, H.‑E., & Memmert, D. (2019). Measurement of cognitive functions in experts and elite athletes: A meta‐analytic review. Applied Cognitive Psychology, 33(5), 843–860. https://doi.org/10.1002/acp.3526
Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12(11), 418–424. https://doi.org/10.1016/j.tics.2008.07.005
Vestberg, T., Gustafson, R., Maurex, L., Ingvar, M., & Petrovic, P. (2012). Executive functions predict the success of top-soccer players. PloS One, 7(4), e34731. https://doi.org/10.1371/journal.pone.0034731
Voss, M. W., Kramer, A. F., Basak, C., Prakash, R. S., & Roberts, B. (2010). Are expert athletes' expert' in the cognitive laboratory? A meta-analytic review of cognition and sport expertise. Applied Cognitive Psychology, 24(6), 812–826. https://doi.org/10.1002/acp.1588
Downloads
Posted
Categories
License
Copyright (c) 2022 Florian Heilmann
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.