Overview
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
Inclusion Criteria:
- 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
- For No-Pain Group: Reports minimal to no wrist pain (<3/10 on VAS) during gaming activities
Exclusion Criteria:
- History of neurologic disease
- History of rheumatic disease
- Previous wrist surgery
- Recent wrist trauma (within 3 months)
- Use of pain medication within 24 hours of assessment
- Inability to perform grip strength testing