Pain, Fatigue and Sleep Quality of E-Athletes
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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E-Athletes E-Athletes who are over the age of 18, have participated in professional matches for at least one year, and have an E-sports license were evaluated. |
Other: Assessment
Assessment of pain, fatigue, sleep quality, and e-sports-specific features
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Outcome Measures
Primary Outcome Measures
- 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 Visual Analogue Scale (VAS) will be questioned. Visual Analogue Scale (VAS): The number 0 is defined as "no pain" and the number 10 as "unbearable pain".
- Fatigue severity [baseline]
Fatigue severity will be evaluated with the "Modified BORG Scale". This scale will be used to determine the general fatigue level perceived by individuals. Participants will be asked to rate the severity of fatigue they feel between 0 and 10.
- 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 Outcome Measures
- Demographic information [baseline]
Age, gender, marital status, educational status, occupation, and regular exercise status will be questioned.
- E-sports year [baseline]
They will be asked how many years they have been involved in e-sports.
- Daily and weekly game time [baseline]
Daily and weekly time spent in front of the computer for the game will be asked.
- Game branch [baseline]
They will be asked whether they play individual or team games.
- Type of game [baseline]
They will be asked what type of game they play.
- Reasons for interest in e-sports [baseline]
Reasons for being interested in e-sports will be asked.
- Where they prepare for tournaments [baseline]
They will be asked where they are preparing for the tournaments.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Be over 18 years old
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Take part in professional matches for at least one year
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Have an e-sports license
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Volunteer
Exclusion Criteria:
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Be retired,
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Having any systemic, orthopedic or neurological disease
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Melike Sumeyye Ozen | Bandırma | Balıkesir | Turkey |
Sponsors and Collaborators
- Bandırma Onyedi Eylül University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2022-84