Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan.

Abstract

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.