About this trial
This cross-sectional study investigates whether a simple Grip-Asymmetry Index (GAI) can predict self-reported wrist pain in professional e-sports athletes. Professional gamers (aged 18-30) who play at least 35 hours per week will be assessed using a Jamar dynamometer to measure maximal grip force in both hands. The study will compare GAI between two groups: those with wrist pain (≥3/10 on Visual Analog Scale during play) and those without pain. A GAI cutoff value for predicting wrist pain risk will be established through ROC analysis, with additional factors such as gaming hours, BMI, and sex incorporated into a multivariable logistic regression model.
Eligibility criteria
Qualifiers
Professional e-sports athletes (receiving compensation for gaming activities)
Age between 18 and 30 years
Gaming for at least 35 hours per week
For Pain Group: Reports wrist pain rated ≥3/10 on VAS during gaming activities
Disqualifiers
History of neurologic disease
History of rheumatic disease
Previous wrist surgery
Recent wrist trauma (within 3 months)
Trial design
Treatments tested in this trial
- Pain Group
- No-Pain Group
Treatment groups
Locations
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