DSM-5 Internet gaming disorder among a sample of Mexican first-year college students

Abstract

Background and aims: DSM-5 includes Internet gaming disorder (IGD) as a condition for further study. While online and offline gaming may produce undesired negative effects on players, we know little about the nosology of IGD and its prevalence, especially in countries with emerging economies. Methods: A self-administered survey has been employed to estimate prevalence of DSM-5 IGD and study the structure and performance of an instrument in Spanish to measure DSM-5 IGD among 7,022 first-year students in 5 Mexican universities that participated in the University Project for Healthy Students (PUERTAS), part of the World Health Organization's World Mental Health International College Student Initiative. Results: The scale for IGD showed unidimensionality with factor loadings between 0.694 and 0.838 and a Cronbach's α = .816. Items derived from gaming and from substance disorders symptoms mixed together. We found a 12-month prevalence of IGD of 5.2% in the total sample; prevalence was different for males (10.2%) and females (1.2%), but similar for ages 18-19 years (5.0%) and age 20+ (5.8%) years. Among gamers, the prevalence was 8.6%. Students with IGD were more likely to report lifetime psychological or medical treatment [OR = 1.8 (1.4-2.4)] and any severe role impairment [OR = 2.4 (1.7-3.3)]. Adding any severe role impairment to the diagnostic criteria decreased the 12-month prevalence of IGD to 0.7%. Discussion and conclusions: Prevalence of DSM-5 IGD and the performance of diagnostic criteria in this Mexican sample were within the bounds of what is reported elsewhere. Importantly, about one in every seven students with IGD showed levels of impairment that would qualify them for treatment under DSM-5.

Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale–Short Form (IGDS9-SF) in a Chinese Context

“…Our results also reveal a significant gender difference in IGD. Male students were more likely to meet the IGD criteria, which consistent with other culture studies (16)(17)(18)(19). Furthermore, probable disordered gamers showed more weekly gaming time as expected.…”

(Internet) Gaming Disorder inDSM-5 andICD-11: A Case of the Glass Half Empty or Half Full: (Internet) Le trouble du jeu dans leDSM-5 et la CIM-11: Un cas de verre à moitié vide et à moitié plein

“…The section on IGD consisted of 23 items based on the 9 symptoms or domains described in the DSM -5 and formulated by an international consensus led by Nancy Petry that included an English version and a Spanish translation. 9,13 Some symptoms/domains were measured by more than 1 question (2 questions each for 7 of the 9 domains; 3 for the domain “negative consequences” and 6 for the domain “continuation”). All 23 questions lead to dichotomous answers (yes/no), and each of the 9 symptoms was considered positive if any of the questions pertaining to a given symptom was positive (yes).…”

“…Description of the individual symptoms for IGD, together with the psychometric properties of the scale, was reported elsewhere. 9…”

“…Whether these symptoms from 2 traditions would tend to work together and tap a common latent trait (gaming) was unknown at the time of the DSM -5 formulation. An item response theory (IRT) analysis of DSM -5 in a sample of 1st-year Mexican college students shows that to be the case, with substance and gambling symptoms mixed in the continuum of the IRT latent trait, 9 In contrast, the ICD -11 definition emphasized a more unitary substance use approach to define GD as a pure addictive condition consisting of 3 core symptoms (see the parallel definition of alcohol use disorders in 10 and the parallel definition of ICD -11-“6C50 Gambling disorder”). We currently do not know whether, by selecting only core substance-like symptoms, ICD -11 gaming cases are, or not, more specific.…”

Influencia del género en los factores de trastornos del juego

“…La adicción al juego virtual se conoce como IGD (Internet Gaming Disorder ) y se entiende como un uso excesivo de Internet, juego o teléfonos inteligentes durante mucho tiempo (Jo et al, 2019;Chen et al, 2020), ya sea en línea (Kim et al, 2018) o fuera de línea (Lemmens y Hendriks, 2016), que llegan a provocar efectos negativos no deseados en los sujetos (Borges et al, 2019) y para su familias (González et al, 2018;Schneider, King & Delfabbro, 2017). Estos síntomas pueden ir de más leves (llegar tarde) a bastante graves (perder el trabajo) (Eichenbaum et al, 2015).…”