RESUMEN
BACKGROUND: Substance use in adolescents has been separately related to personality traits and parental socialization styles; in this study, our objective was to study these variables in an integrated way. METHODS: A cross-sectional observational study was conducted in five institutes in a final sample of 331 students, excluding those with gaming disorder. The sample was stratified into three subgroups: 'no addiction', 'low risk', and 'high risk' of Substance Use Disorders (SUD). RESULTS: 12.9% of the adolescents presented a low risk of SUD, while 18.3% showed a high risk, with both being older (F = 9.16; p < 0.001) than the no addiction group. Adolescents with high risk scored lower in control and structure variables and higher in maternal and paternal indifference factors. Non-addicted subjects presented higher scores in conscientiousness, extraversion, and agreeableness and lower scores in neuroticism. The probability of SUD increased with age (OR = 2.187; p = 0.022), sensation seeking (OR = 1.084; p < 0.001), and neuroticism (OR = 1.049; p = 0.042), while conscientiousness was a protective factor (OR = 0.930; p = 0.008). CONCLUSIONS: These results reflect that personality traits are directly related to the development of substance abuse in adolescents.
RESUMEN
El trastorno por uso de videojuegos se incluyó recientemente en la 11ªedición de la Clasificación Internacional de Enfermedades. Se realizó un estudio transversal en cinco institutos, con una muestra final de 119 alumnos. El 6,4% (n = 23) de los sujetos tenía trastorno por uso de videojuegos. Los adolescentes con trastorno por uso de videojuegos mostraron bajos niveles de consciencia (F = 7,82; p = ,001) y amabilidad (F = 3,31; p = ,041); y puntuaron más alto en inadaptación escolar (SMC; F = 9,230; p < ,001)que los sanos. Obtuvimos dos funciones discriminantes que clasificaban correctamente al 60,5% (Z1 = 0,406 × Sexo + 0,560 × Conciencia - 0,677× SMC; Z2 = 0,915 × Sexo + 0,191 × Conciencia + 0,326 × SMC). Los sujetos con adicción se diferenciaban de los sanos en presentar inadaptación escolar y baja conciencia, mientras que ambos grupos con adicción se diferenciaban en que los alumnos con adicción a videojuegos eran en mayor proporción varones. La probabilidad de trastorno por uso de videojuegos aumentaba si el sujeto era varón (OR [CI 95%] = 4,82 (1,17-19,81); p =,029) con inadaptación escolar (OR [IC 95%] = 1,08 (1-1,17); p = ,047);mientras que el trastorno por uso de sustancias aumentaba si el sujeto presentaba neuroticismo (OR [IC 95%] =1,07 [1-1,14]; p < ,040), desajuste clínico (OR [IC 95%] = 1,10 [1,01-1,20]; p = ,020), inadaptación escolar(OR [IC 95%] = 1,06 [1-1,13]; p = ,048), bajo ajuste personal (OR [IC95%] = 0,94 [0,88-0,99]; p = ,047) y síntomas emocionales (OR [IC 95%]= 0,86 [0,78-0,96]; p = ,006). (AU)
Gaming disorder (GD) was recently included in the 11th edition of theInternational Classification of Diseases. A cross-sectional study was conducted in five secondary schools, with a final sample of 119 students. A diagnosis of GD was made in 6.4% (n = 23) of this sample. Compared with healthy subjects, adolescents with GD showed low levels of conscientiousness(F = 7.82; p = .001) and agreeableness (F = 3.31; p = .041) and scored higherin school maladjustment (SMC; F = 9.23; p < .001). Two discriminating functions were obtained that allowed us to predict patient group allocation with a success rate of 60.5% (Z1 = 0.406 × Sex + 0.560 × Conscientiousness− 0.677 × SMC; Z2 = 0.915 × Sex + 0.191 × Conscientiousness + 0.326 ×SMC). Subjects with addiction differed from healthy subjects in presenting school maladjustment and low consciousness, while both groups of subjectswith addiction differed in that video game addiction was proportionally higher in boys. The probability of GD was higher if subjects were male (OR[95% CI]) = 4.82 [1.17-19.81]; p = .029) and had school maladjustment(OR [95% CI] = 1.08 [1-1.17]; p = .047); while that of substance use disorder was higher if the subjects had neuroticism (OR [95% CI] = 1.07[1-1.14]; p < .040), clinical maladjustment (OR [95% CI] = 1.10 [1.01-1.20]; p = .020), school maladjustment (OR [95% CI] = 1.06 [1-1.13]; p =.048), low personal adjustment (OR [95% CI] = 0.94 [0.88-0.99]; p = .047)and emotional symptoms (OR [95% CI] = 0.86 [0.78-0.96]; p = .006). (AU)