Frontiers in sports and active living · 2026
Aerobic capacity, strength, and cognitive performance of e-sports athletes and their determinants.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Nakamoto Fernanda Patti, Freiberg Alyne Korukian, Dos Santos Quaresma Marcus V L, de Almeida Hillary Chrysti, Barczyszyn Rachel Vaini, Dos Santos Matheus Pio, Lage Eduardo Saucedo, Ferreira Raphael Einsfeld Simões, Degani-Costa Luiza Helena
Аннотация
AIM: To characterize the physical and cognitive performance of professional e-sports athletes (E-SG) and compare them with healthy university students (CG).
METHODS: Physical performance was assessed cross-sectionally by handgrip strength (HGS) and % predicted V̇O2 at peak and anaerobic threshold (V̇O2peak% and V̇O2AT%) of an incremental cardiopulmonary exercise test. Computer-based tests were used to evaluate memory and reaction time. Using a comprehensive health assessment, we investigated the determinants of physical and cognitive performance and how they related to ranking at the most recent championship.
RESULTS: Sixty-four male participants (34 E-SG; 30 CG) were included. Age, body composition, and blood test results did not differ between the groups. E-SG demonstrated higher sedentary time (p < 0.001), reduced HGS (47.23 ± 8.69 kgf vs. 42.8 ± 8.88 kgf; p = 0.027), and worse V̇O2peak% compared to CG (106.7 ± 13.49 vs. 86.4 ± 12.05; p < 0.001) and V̇O2AT% (86.00 ± 13.35 vs. 68.5 ± 13.56; p < 0.001). Being an E-SG and having lower fat-free mass were independent predictors of lower V̇O2peak%, while sedentary time was inversely associated with V̇O2AT%. E-SG displayed faster working memory (736 ms vs. 893 ms; p = 0.016), which showed a small but positive association with championship rank (β = 0.076; p = 0.011). Training time was a borderline predictor of ranking.
CONCLUSIONS: Professional e-sports athletes presented reduced aerobic fitness, high sedentary behavior, and faster working memory compared to healthy university students, highlighting the complex interplay between professional needs and their potential health impacts.
METHODS: Physical performance was assessed cross-sectionally by handgrip strength (HGS) and % predicted V̇O2 at peak and anaerobic threshold (V̇O2peak% and V̇O2AT%) of an incremental cardiopulmonary exercise test. Computer-based tests were used to evaluate memory and reaction time. Using a comprehensive health assessment, we investigated the determinants of physical and cognitive performance and how they related to ranking at the most recent championship.
RESULTS: Sixty-four male participants (34 E-SG; 30 CG) were included. Age, body composition, and blood test results did not differ between the groups. E-SG demonstrated higher sedentary time (p < 0.001), reduced HGS (47.23 ± 8.69 kgf vs. 42.8 ± 8.88 kgf; p = 0.027), and worse V̇O2peak% compared to CG (106.7 ± 13.49 vs. 86.4 ± 12.05; p < 0.001) and V̇O2AT% (86.00 ± 13.35 vs. 68.5 ± 13.56; p < 0.001). Being an E-SG and having lower fat-free mass were independent predictors of lower V̇O2peak%, while sedentary time was inversely associated with V̇O2AT%. E-SG displayed faster working memory (736 ms vs. 893 ms; p = 0.016), which showed a small but positive association with championship rank (β = 0.076; p = 0.011). Training time was a borderline predictor of ranking.
CONCLUSIONS: Professional e-sports athletes presented reduced aerobic fitness, high sedentary behavior, and faster working memory compared to healthy university students, highlighting the complex interplay between professional needs and their potential health impacts.