Investigation of the Relationship Between Digital Game Addiction and Musculoskeletal System Disorders
1 other identifier
interventional
40
1 country
1
Brief Summary
The aim of this study is to examine the effects of digital game addiction on the musculoskeletal system and the reflections of these effects on the quality of life of adults.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Mar 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 19, 2025
CompletedFirst Posted
Study publicly available on registry
February 25, 2025
CompletedStudy Start
First participant enrolled
March 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 10, 2025
CompletedSeptember 5, 2025
August 1, 2025
3 months
February 19, 2025
August 28, 2025
Conditions
Outcome Measures
Primary Outcomes (3)
Cornell Musculoskeletal Disorder Questionnaire
The questionnaire was conducted in 11 body regions (neck, right and left shoulder, upper arm, forearm and wrist, back and waist region) includes questions about the frequency of musculoskeletal disorders (pain/pain/discomfort), the severity of these disorders, and whether they interfere with work.
14 weeks
The Pittsburgh Sleep Quality Index
Pittsburgh Sleep Quality Index; It evaluates sleep duration, sleep disturbance, sleep efficiency, subjective sleep quality, sleep medication use, daytime dysfunction, and sleep delay and consists of a total of 24 questions. 19 of them are self-report scales and 5 of them consist of questions to be answered by a friend or spouse. There are 7 components with 18 questions scored in the scale, and each component is evaluated between 0 and 3 points. The total score ranges from 0 to 21, and 5 or more is an indicator of "poor sleep quality".
14 weeks
Disabilities of the Arm, Shoulder and Hand Questionnaire
It was developed to evaluate functional status and symptoms by focusing on physical function in upper extremity injuries. According to the results of the survey; a result from 0-100 is obtained from each part; 0-no apology 100-maximum apology.
14 weeks
Study Arms (2)
control
ACTIVE COMPARATORPeople who do not have any exercise program
exercise
EXPERIMENTALPeople who will have an exercise program
Interventions
People who will receive an exercise program. Participants will receive ergonomic training along with the exercise program.
Eligibility Criteria
You may qualify if:
- Adults aged 18-39.
- Individuals who play digital games at least 4-5 days a week, at least 3 hours a day.
- Individuals who voluntarily participate in the study and sign the ethical consent form.
You may not qualify if:
- Individuals with existing serious health problems related to the musculoskeletal system or sleep patterns.
- Individuals who suffered trauma or serious injuries related to the musculoskeletal system during the study period.
- Individuals with psychological disorders such as depression or anxiety disorder.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Uskudar university
Istanbul, Turkey (Türkiye)
Related Publications (3)
Ahmed S, Samuel AJ, Mishra A, Rahman MS, Islam MA, Rashaduzzaman M, Roy SK, Akter R, Islam MJ. Mobile game addiction and its association with musculoskeletal pain among students: A cross-sectional study. PLoS One. 2024 Aug 26;19(8):e0308674. doi: 10.1371/journal.pone.0308674. eCollection 2024.
PMID: 39186761BACKGROUNDBrevers D, King DL, Billieux J. Delineating adaptive esports involvement from maladaptive gaming: a self-regulation perspective. Curr Opin Psychol. 2020 Dec;36:141-146. doi: 10.1016/j.copsyc.2020.07.025. Epub 2020 Aug 3.
PMID: 32795945BACKGROUNDGulu M, Yagin FH, Gocer I, Yapici H, Ayyildiz E, Clemente FM, Ardigo LP, Zadeh AK, Prieto-Gonzalez P, Nobari H. Exploring obesity, physical activity, and digital game addiction levels among adolescents: A study on machine learning-based prediction of digital game addiction. Front Psychol. 2023 Mar 3;14:1097145. doi: 10.3389/fpsyg.2023.1097145. eCollection 2023.
PMID: 36936011BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Lobaba Chiah
Uskudar University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Asst. Prof. Dr.
Study Record Dates
First Submitted
February 19, 2025
First Posted
February 25, 2025
Study Start
March 1, 2025
Primary Completion
June 1, 2025
Study Completion
August 10, 2025
Last Updated
September 5, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share