Hand-Held Dynamometer Assessment: E-Sports Grip-Asymmetry Index as a Predictor of Wrist Pain

Ahram Canadian University

Status

Enrolling

Conditions

Wrist Injuries

Treatments

Other: Pain Group

Other: No-Pain Group

Study type

Observational

Funder types

Other

Identifiers

NCT06978426

AlHayah-1001

Details and patient eligibility

About

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.

Enrollment

56 estimated patients

Sex

All

Ages

18 to 30 years old

Volunteers

Accepts Healthy Volunteers

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