Relationship of Gaming Disorder with parenting based on low affection-communication and personality trait of neuroticism in adolescents.

Background: Gaming Disorder is increasingly common in adolescents. We aimed to evaluate the relationship between parenting, personality traits, and Gaming Disorder. Methods: An observational and cross-sectional study in six secondary schools of Castelló, obtaining a final sample of 397 students. Results: Adolescents with Gaming Disorder had lower scores in Adolescent Affection-Communication (F = 8.201; p < 0.001), Father's Warmth (F = 3.459; p = 0.028), and Father's Acceptance/Involvement (F = 5.467; p = 0.003), and higher scores in Mother's Revoking Privileges (F = 4.277; p = 0.034) and Father's Indifference (F = 7.868; p = 0.002) than healthy participants. Male sex was a risk factor for Gaming Disorder (OR = 12.221; p = 0.004), while Adolescent Affection-Communication (OR = 0.908; p = 0.001) and Agreeableness (OR = 0.903; p = 0.022) were protective factors. Data modeling described the protective effect that Adolescent Affection-Communication had on Gaming Disorder, which was both directly (B = -0.20; p < 0.001) and indirectly mediated by Neuroticism (B = -0.20; p < 0.001), while Neuroticism itself was a risk factor for Gaming Disorder (B = 0.50; p < 0.001). Conclusion: These results reflect that Parental style with low affection and communication was directly and indirectly related to the Gaming Disorder, as well as male sex and personality trait of Neuroticism.

Personality traits and psychopathology in adolescents with videogame addiction. / Rasgos de personalidad y psicopatología en adolescentes con adicción a videojuegos.

Gaming disorder (GD) was recently included in the 11th edition of the International 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 higher in 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 subjects with 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).

El trastorno por uso de videojuegos se incluyó recientemente en la 11ª edición 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 [IC 95%] = 0,94 [0,88-0,99]; p = ,047) y síntomas emocionales (OR [IC 95%] = 0,86 [0,78-0,96]; p = ,006).

Rasgos de personalidad y psicopatología en adolescentes con adicción a videojuegos / Personality traits and psychopathology in adolescents with videogame addiction

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)

Sex Differences in Substance Use, Prevalence, Pharmacological Therapy, and Mental Health in Adolescents with Attention-Deficit/Hyperactivity Disorder (ADHD).

Sex differences are poorly studied within the field of mental health, even though there is evidence of disparities (with respect to brain anatomy, activation patterns, and neurochemistry, etc.) that can significantly influence the etiology and course of mental disorders. The objective of this work was to review sex differences in adolescents (aged 13-18 years) diagnosed with ADHD (according to the DSM-IV, DSM-IV-TR and DSM-5 criteria) in terms of substance use disorder (SUD), prevalence, pharmacological therapy and mental health. We searched three academic databases (PubMed, Web of Science, and Scopus) and performed a narrative review of a total of 21 articles. The main conclusions of this research were (1) girls with ADHD are more at risk of substance use than boys, although there was no consensus on the prevalence of dual disorders; (2) girls are less frequently treated because of underdiagnosis and because they are more often inattentive and thereby show less disruptive behavior; (3) together with increased impairment in cognitive and executive functioning in girls, the aforementioned could be related to greater substance use and poorer functioning, especially in terms of more self-injurious behavior; and (4) early diagnosis and treatment of ADHD, especially in adolescent girls, is essential to prevent early substance use, the development of SUD, and suicidal behavior.

The effectiveness of a brief motivational nursing intervention to reduce psychoactive substance consumption in entertainment-sector workers: A transversal, observation, and semi-experimental study.

Checking whether changes in the perception of the quality of life related to health, after the nursing intervention, influence these patients' motivation to change. This was a two-staged study undertaken in entertainment-sector workers in Spain: the first part was transversal and observational, and the second was semi-experimental. First part undertook in 284 entertainment-sector workers, selected by non-probabilistic sampling, while second part undertook in 50 entertainment-business workers, selected by consecutive sampling from those who consumed substances. A short group-based motivational intervention session was implemented by nursing staff, and a before and after evaluation was completed. The EuroQol-5D and Test for the Evaluation of the Quality of Life in Addicts to Psychoactive Substances (TECVASP) were used. The patients' motivation to change was evaluated through the Stages of Change Readiness and Treatment Eagerness Scale. The results analysis showed that the nursing intervention reduced the participants' perceptions of their health-related quality of life (t = 4.23; P = 0.00009) and of their quality of life in addicts to psychoactive substances (t = 3.38; P = 0.00140). There was an increase in the motivation of 6 workers (12%) to seek treatment of their addiction (χ2  = 13.02; P = 0.0091). The post-test contemplation stage score was predicted (F = 6.56; P = 0.003; R = 0.46) with post-test TECVASP score and pre-post difference in TECVASP score. By reducing the patients' perception of their quality of life, this brief nursing intervention facilitated a favourable increase in the motivation for change among these workers and was effective in 12% of cases.