2026-10-07T12:45:28Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33920383 2026-09-18T05:34:24Z category_343 portal_316 item_type_3 month_year_09_2026

Data Sheet 1_Aerobic capacity, strength, and cognitive performance of e-sports athletes and their determinants.pdf Fernanda Patti Nakamoto (23921570) Alyne Korukian Freiberg (25070125) Marcus V. L. dos Santos Quaresma (20196816) Hillary Chrysti de Almeida (25070128) Rachel Vaini Barczyszyn (25070131) Matheus Pio dos Santos (25070134) Eduardo Saucedo Lage (25070137) Raphael Einsfeld Simões Ferreira (8621901) Luiza Helena Degani-Costa (15311663) Sports Medicine cognition e-sports performance physical conditioning training Aim<p>To characterize the physical and cognitive performance of professional e-sports athletes (E-SG) and compare them with healthy university students (CG).</p>Methods<p>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.</p>Results<p>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.</p>Conclusions<p>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.</p> 2026-09-18T05:34:24Z Dataset Dataset 10.3389/fspor.2026.1940173.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Aerobic_capacity_strength_and_cognitive_performance_of_e-sports_athletes_and_their_determinants_pdf/33920383 CC BY 4.0