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The Influence of Cortisol, Flow, and Anxiety on Performance in E-Sports: A Field Study

Schmidt, Steffen C. E.; Gnam, Jens-Peter; Kopf, Maximilian; Rathgeber, Tobias; Woll, Alexander

Background and Objectives. Most performance theories were tested under controlled laboratory settings and offer therefore only limited transferability to real-life situations. E-sport competitions offer a relatively controllable while at the same time competitive setting, and our aim was to examine different influencing factors on competitive performance. Design and Methods. Salivary cortisol was measured immediately before, after, and 30 minutes after a game of 23 computer players during e-sport tournaments. The players answered the Flow Short Scale, which consists of the two subdimensions “flow experience” and “anxiety” subsequent to their game. The performance was assessed by the result of each player’s game (win or loss). Results. Mean cortisol levels increased significantly during the game but response patterns were inconsistent. Winners and losers differed significantly in anxiety with winners showing higher anxiety levels. After dividing the sample into three groups of different cortisol response patterns, significant differences in performance and anxiety were found, with low to moderate levels of cortisol being associated with the highest performance and anxiety. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000117528
Veröffentlicht am 04.03.2020
DOI: 10.1155/2020/9651245
Zitationen: 2
Web of Science
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2020
Sprache Englisch
Identifikator ISSN: 2314-6133, 2314-6141
KITopen-ID: 1000117528
Erschienen in BioMed research international
Band 2020
Seiten Art. Nr.: 9651245
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Gefördert vom Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (MWK) im Rahmen des Open-Access-Förderprogramms "BW BigDIWA"
Vorab online veröffentlicht am 29.01.2020
Nachgewiesen in Scopus
Web of Science
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