Wrist Injuries
Conditions
Brief summary
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.
Interventions
OTHERPain Group
Professional e-sports athletes who report wrist pain rated at 3 or higher on a 10-point Visual Analog Scale during gaming activities. These participants play video games professionally for at least 35 hours per week, are between 18-30 years old, and have no history of neurologic or rheumatic disease.
OTHERNo-Pain Group
Professional e-sports athletes who report minimal to no wrist pain (less than 3 on a 10-point Visual Analog Scale) during gaming activities. These participants play video games professionally for at least 35 hours per week, are between 18-30 years old, and have no history of neurologic or rheumatic disease.
Sponsors
Ahram Canadian University
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Grip-Asymmetry Index (GAI) | Measured once at study enrollment | The Grip-Asymmetry Index is calculated as (Dominant hand grip strength - Non-dominant hand grip strength) / Dominant hand grip strength × 100%. Grip strength is measured in kilograms using a calibrated Jamar hand-held dynamometer following standardized testing protocols. Higher GAI values indicate greater asymmetry between dominant and non-dominant hands. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Maximal grip force in dominant hand | Measured once at study enrollment | Maximum grip strength measured in kilograms using a calibrated Jamar hand-held dynamometer following standardized testing protocols |
| Maximal grip force in non-dominant hand | Measured once at study enrollment | Maximum grip strength measured in kilograms using a calibrated Jamar hand-held dynamometer following standardized testing protocols |
| Wrist pain intensity during gaming | Assessed at study enrollment, reflecting current pain experience during gaming activities | Self-reported wrist pain measured using a Visual Analog Scale (VAS) ranging from 0 (no pain) to 10 (worst pain imaginable) during typical gaming sessions |
| Weekly gaming hours | Assessed at study enrollment, reflecting average from the past month | Self-reported average number of hours spent gaming per week |
Countries
Egypt
Contacts
Primary ContactMohamed M ElMeligie, Ph.D
Outcome results
None listed