Open AccessPatterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan
Author(s) -
Reema Karasneh,
Sayer AlAzzam,
Karem H. Alzoubi,
Mohammad B. Nusair,
Sahar Hawamdeh,
Amal T. Nusir
Publication year - 2021
Publication title -
clinical practice and epidemiology in mental health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.692
H-Index - 48
ISSN - 1745-0179
DOI - 10.2174/1745017902117010217
Subject(s) - observational study , psychosocial , immunoglobulin d , medicine , demography , population , public health , psychology , clinical psychology , psychiatry , environmental health , immunology , b cell , sociology , antibody , nursing
Objective: Internet Gaming Disorder (IGD) is a rapidly growing public health problem that may have detrimental effects. The purpose of this study is to identify factors associated with IGD status. Methods: In this cross-sectional observational study, a convenient sample of gamers in Jordan was recruited and asked to participate in an online survey based on the nine criteria of the 20-item Internet Gaming Disorder (IGD-20) used to assess gaming disorder. Sociodemographic and psychosocial data were also obtained. Results: A total of 504 gamers participated in this study. The mean age of respondents was 21.6 ± 3.90 years. Using the standard IGD-20 scale, 96 participants (19%) were classified as potential IGD cases, compared to 408 (80.9%) non-disordered gamers. Males were dominant among the population, constituting 348 (69%) of gamers. Males also played significantly more hours per week [17.8 ±16.75] compared to females [13 ± 17.65]. The majority of gamers (411 (81.5%)) were students, although unemployed adults played for the highest total time [23.9 ± 30.84 hours/week]. Device type used for gaming also significantly (p <0.05) affected the time spent playing. Predictors of IGD included educational level (p< 0.05) and playing hours/week (p< 005). Conversely, no significant associations were found between IGD and gender, age, employment, or sleeping hours. IGD is increasingly being diagnosed among both genders and presents a health challenge for internet users. Conclusion: Establishing gamer profiles and recognizing predictors of IGD is therefore vital for guiding clinical classification and diagnosis of the disease.