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Validity of the SKILLCOURT® technology for agility and cognitive performance assessment in healthy active adults.
Hülsdünker, Thorben; Friebe, David; Giesche, Florian; Vogt, Lutz; Pfab, Florian; Haser, Christian; Banzer, Winfried.
  • Hülsdünker T; Department of Exercise and Sport Science, LUNEX International University of Health, Exercise and Sports, Differdange, Luxembourg.
  • Friebe D; Luxembourg Health & Sport Sciences Research Institute (LHSSRI), Differdange, Luxembourg.
  • Giesche F; Division of Preventive and Sports Medicine, Institute of Occupational, Social and Environmental Medicine, Goethe-University Frankfurt/Main, Goethe University, Frankfurt, Germany.
  • Vogt L; Division of Preventive and Sports Medicine, Institute of Occupational, Social and Environmental Medicine, Goethe-University Frankfurt/Main, Goethe University, Frankfurt, Germany.
  • Pfab F; Department of Sports Medicine and Exercise Physiology, Goethe University Frankfurt/Main, Germany.
  • Haser C; Medical Department Eintracht Frankfurt, Frankfurt, Germany.
  • Banzer W; Medical Department Eintracht Frankfurt, Frankfurt, Germany.
J Exerc Sci Fit ; 21(3): 260-267, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37497363
ABSTRACT
Background/

Objectives:

Agility and cognitive abilities are typically assessed separately by different motor and cognitive tests. While many agility tests lack a reactive decision-making component, cognitive assessments are still mainly based on computer-based or paper-pencil tests with low ecological validity. This study is the first to validate the novel SKILLCOURT technology as an integrated assessment tool for agility and cognitive-motor performance.

Methods:

Thirty-two healthy adults performed agility (Star Run), reactive agility (Random Star Run) and cognitive-motor (executive function test, 1-back decision making) performance assessments on the SKILLCOURT. Cognitive-motor tests included lower limb responses in a standing position to increase the ecological validity when compared to computer-based tests. Test results were compared to established motor and agility tests (countermovement jump, 10 m linear sprint, T-agility tests) as well as computer-based cognitive assessments (choice-reaction, Go-NoGo, task switching, memory span). Correlation and multiple regression analyses quantified the relation between SKILLCOURT performance and motor and cognitive outcomes.

Results:

Star Run and Random Star Run tests were best predicted by linear sprint (r = 0.68, p < 0.001) and T-agility performance (r = 0.77, p < 0.001), respectively. The executive function test performance was well explained by computer-based assessments on choice reaction speed and cognitive flexibility (r = 0.64, p < 0.001). The 1-back test on the SKILLCOURT revealed moderate but significant correlations with the computer-based assessments (r = 0.47, p = 0.007).

Conclusion:

The results support the validity of the SKILLCOURT technology for agility and cognitive assessments in more ecologically valid cognitive-motor tasks. This technology provides a promising alternative to existing performance assessment tools.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article