Measuring addiction to internet gaming among Indian medical students: Development and preliminary psychometric properties of a new scale

BACKGROUND: Internet gaming disorder (IGD) is emerging as an important source of behavioral addiction in young people globally. OBJECTIVE: The aim of this study was to assess addiction to internet gaming in medical students using a self designed research instrument. MATERIALS AND METHODS: We conducted a cross-sectional study and enrolled 264 male and 160 female MBBS students (n = 424) in Delhi, India. The study instruments included: a 2-item Internet gaming screening questionnaire (IGSQ), a 14-item self-designed Internet gaming addiction scale (IGAS) to measure addiction-like behavior associated with multiplayer Internet gaming, and the Pittsburgh Sleep Quality Index to measure sleep quality. RESULTS: After preliminary screening, 91 male and 6 female participants were found to be multiplayer Internet gamers, and were further assessed using the 14-item IGAS. The Cronbach's alpha of the IGAS was 0.879. Principal component analysis revealed a three-component IGAS structure based on eigenvalue cutoff (>1), loading score >0.4, and inspection of the scree-plot that explained 66.71% of the total variance. The IGAS score and the average weekly gaming time of the participants showed a moderate positive correlation (r = 0.45, P < 0.001). Only 17 (4.0%) participants reported agreement/strong agreement across ≥5 domains of addiction. The mean (standard deviation) IGAS score was significantly higher in the participants reporting poor sleep quality (PQSI > 6) (P = 0.047). CONCLUSION: IGD has low prevalence among medical students, and the problem is negligible among female students. The 14-item IGAS, in conjunction with the 2-item IGSQ, are reliable and valid tools for the assessment of IGD.