Pain, Fatigue and Sleep Quality of E-Athletes

NCT05651438 | Completed

• 1 other identifier: 2022-84
• Study Type: observational
• Target: 86
• Locations: 1 country
• Sites: 1

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.

Conditions

E-Athletes

Keywords

E-Athletes; pain; fatigue; sleep quality

Outcome Measures

Primary Outcomes (4)

• Pain assessment

  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".

  baseline

• Fatigue severity

  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.

  baseline

• Pittsburgh Sleep Quality Index

  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.

  baseline

• Epworth Sleepiness Scale

  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.

  baseline

Secondary Outcomes (3)

• Demographic variables

  baseline

• Esports-related characteristics

  baseline

• Physical activity status

  baseline

Study Arms (1)

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

Interventions

Assessment OTHER

Assessment of pain, fatigue, sleep quality, physical activity status, and e-sports-specific features

E-Athletes

Eligibility Criteria

• Age: 18 Years - 35 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

E-sports players over the age of 18 who have participated in professional matches for at least one year will be included in the study.

Sponsors & Collaborators

• Bandırma Onyedi Eylül University: lead

Study Sites (1)

Melike Sumeyye Ozen

Bandırma, Balıkesir, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Pain; Fatigue; Sleep Initiation and Maintenance Disorders

Interventions

Restraint, Physical

Condition Hierarchy (Ancestors)

Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Nervous System Diseases; Mental Disorders

Intervention Hierarchy (Ancestors)

Behavior Control; Therapeutics; Immobilization; Investigative Techniques

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Research Assistant

Study Record Dates

• First Submitted: December 5, 2022
• First Posted: December 15, 2022
• Study Start: August 1, 2023
• Primary Completion: November 1, 2023
• Study Completion: December 1, 2023
• Last Updated: December 16, 2025

Record last verified: 2025-12

Locations

TU (1)