S. Piatysotska, L. Podrіgalo, V. Romanenko, Yu. Petrenko, Y. Aleksienko
{"title":"使用因子法对武术和电子竞技运动员的心理生理指标进行比较分析","authors":"S. Piatysotska, L. Podrіgalo, V. Romanenko, Yu. Petrenko, Y. Aleksienko","doi":"10.31392/udu-nc.series15.2024.3(175).27","DOIUrl":null,"url":null,"abstract":"The article investigates the factorial structure of psychophysiological indicators in esports athletes of different proficiency levels and combat athletes based on the results of testing. Psychophysiological testing encompassed the assessment of simple reaction time, choice reaction time, reaction time to a moving object, evaluation of the frequency of local movements (30-second tapping test), and was conducted using specialized programs for tablet computers. For combat athletes, the most significant indicators were identified as the frequency of local movements, choice reaction time, and simple reaction time. In elite esports athletes, the factors with the highest weight included the frequency of local movements, choice reaction time, the coefficient of short-term visual memory, reaction time to a moving object, and simple reaction time. Amateur esports athletes exhibited factors comprising the frequency of local movements, the coefficient of short-term visual memory, reaction time to a moving object, choice reaction time, and simple reaction time. The identified factorial structures and the relative weight of each psychophysiological indicator reflect the specific characteristics inherent in each sport and characterize the development of sensorimotor reactions. These results provide the basis for recommending the implemented battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels. The obtained results allow recommending the utilized battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels.","PeriodicalId":507564,"journal":{"name":"Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports)","volume":" 46","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of psychophysiological indicators of martial arts and e-sports athletes using the factor method\",\"authors\":\"S. Piatysotska, L. Podrіgalo, V. Romanenko, Yu. Petrenko, Y. Aleksienko\",\"doi\":\"10.31392/udu-nc.series15.2024.3(175).27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article investigates the factorial structure of psychophysiological indicators in esports athletes of different proficiency levels and combat athletes based on the results of testing. Psychophysiological testing encompassed the assessment of simple reaction time, choice reaction time, reaction time to a moving object, evaluation of the frequency of local movements (30-second tapping test), and was conducted using specialized programs for tablet computers. For combat athletes, the most significant indicators were identified as the frequency of local movements, choice reaction time, and simple reaction time. In elite esports athletes, the factors with the highest weight included the frequency of local movements, choice reaction time, the coefficient of short-term visual memory, reaction time to a moving object, and simple reaction time. Amateur esports athletes exhibited factors comprising the frequency of local movements, the coefficient of short-term visual memory, reaction time to a moving object, choice reaction time, and simple reaction time. The identified factorial structures and the relative weight of each psychophysiological indicator reflect the specific characteristics inherent in each sport and characterize the development of sensorimotor reactions. These results provide the basis for recommending the implemented battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels. The obtained results allow recommending the utilized battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels.\",\"PeriodicalId\":507564,\"journal\":{\"name\":\"Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports)\",\"volume\":\" 46\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Journal of National Pedagogical Dragomanov University. Series 15. 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Comparative analysis of psychophysiological indicators of martial arts and e-sports athletes using the factor method
The article investigates the factorial structure of psychophysiological indicators in esports athletes of different proficiency levels and combat athletes based on the results of testing. Psychophysiological testing encompassed the assessment of simple reaction time, choice reaction time, reaction time to a moving object, evaluation of the frequency of local movements (30-second tapping test), and was conducted using specialized programs for tablet computers. For combat athletes, the most significant indicators were identified as the frequency of local movements, choice reaction time, and simple reaction time. In elite esports athletes, the factors with the highest weight included the frequency of local movements, choice reaction time, the coefficient of short-term visual memory, reaction time to a moving object, and simple reaction time. Amateur esports athletes exhibited factors comprising the frequency of local movements, the coefficient of short-term visual memory, reaction time to a moving object, choice reaction time, and simple reaction time. The identified factorial structures and the relative weight of each psychophysiological indicator reflect the specific characteristics inherent in each sport and characterize the development of sensorimotor reactions. These results provide the basis for recommending the implemented battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels. The obtained results allow recommending the utilized battery of tests for monitoring the condition of esports athletes and differentiating athletes based on their proficiency levels.