E-Athletes
Conditions
Keywords
E-Athletes, pain, fatigue, sleep quality
Brief summary
E-Sports, which attract great attention in the media and social networks, brings health problems and some risks, depending on the attractiveness of games and the time spent in the digital world. When the investigators examine the literature, although different studies are showing that E-Athletes experience pain and sleep problems, no study examines the factors related to pain and sleep quality together. Therefore, our study was planned to examine the factors associated with pain, fatigue, and sleep quality in E-Athletes.
Interventions
OTHERAssessment
Assessment of pain, fatigue, sleep quality, physical activity status, and e-sports-specific features
Sponsors
Bandırma Onyedi Eylül University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes
Inclusion criteria
The inclusion criteria were: (1) being between 18 and 35 years of age, (2) being under contract with a professional gaming corporation, (3) being primarily engaged in esports through a computer-based game, (4) having at least one year of professional gaming experience, and (5) volunteering to participate in the study. The
Exclusion criteria
were: (1) being retired from esports and (2) having any systemic, orthopedic, or neurological disease.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Pain assessment | baseline | The area where the pain is experienced, the situation of applying to a health institution for pain, the situation of applying to a physiotherapist for pain, and pain severity (with the Numerical Rating Scale (NRS) will be questioned. NRS: The number 0 is defined as no pain and the number 10 as unbearable pain. |
| Fatigue severity | baseline | Fatigue severity will be evaluated using the Numerical Rating Scale (NRS), where 0 will indicate no fatigue and 10 will indicate worst possible fatigue. Participants will report the degree of fatigue they will have felt during the past 24 hours, reflecting their overall daily experience. |
| Pittsburgh Sleep Quality Index | baseline | It is used to assess sleep quality. The total score ranges from 0 to 21. The sleep quality of people with a total score of less than 5 is good; For those with more than 5, it means poor sleep quality. |
| Epworth Sleepiness Scale | baseline | It is used to evaluate daytime sleepiness. The scoring method is the same for all questions, 0 if there is no probability of falling asleep, 1 if there is a low probability of falling asleep, 2 if there is a medium probability, and 3 if there is a high probability of falling asleep. A score of 10 or more indicates the presence of excessive daytime sleepiness. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Esports-related characteristics | baseline | duration of professional gaming, daily computer use, game branch, place of competition, and game type |
| Physical activity status | baseline | will be classified as active if they engage in ≥150 min/week |
| Demographic variables | baseline | Age, gender |
Countries
Turkey (Türkiye)
Outcome results
None listed