Artigo Revisado por pares

Internet addiction disorder in referred adolescents: a clinical study on comorbidity

2020; Taylor & Francis; Volume: 29; Issue: 3 Linguagem: Inglês

10.1080/16066359.2020.1772242

ISSN

1606-6359

Autores

Gabriele Masi, Stefano Berloffa, Pietro Muratori, Marinella Paciello, Martina Rossi, Annarita Milone,

Tópico(s)

Social Media and Politics

Resumo

Background It is currently debated whether specific psychiatric disorders or Internalizing versus Externalizing psychopathological dimensions are associated to Internet Addiction Disorder (IAD). We explored this issue in youth with and without IAD referred to a third-level Department of Adolescent Psychiatry during a 12-month period.Method All the 101 consecutively referred adolescents were assessed using categorical (Schedule for Affective Disorders and Schizophrenia for School- Age Children-K-SADS) and dimensional (Child Behavior Checklist-CBCL) measures of psychopathology, and two measures for addictive behaviors, Internet Addiction Test (IAT) (used as screening for detecting IAD patients) and Use, Abuse, Dependence on the Internet (UADI) inventory.Results According to an IAT cutoff score of 50, 39 patients (38.6%) presented IAD. The IAD and the no IAD groups did not differ according to age and gender. Most of the IAD patients (92.3%) endorsed multiple addictions. The IAD group had higher scores in all the UADI dimensions, except for Impact of Life. All the IAD patients endorsed psychiatric diagnoses, but only Autism Spectrum Disorders were more represented in the IAD group. According to the CBCL, patients with IAD had more social problems and anxiety symptoms. However, clusters analysis with the t-scores of the CBCL scales of Internalizing and Externalizing domains showed no differences in IAT and UADI scores among clusters.Limitations The small sample size and a selection bias (referrals for severe symptomatology) limit the generalization of the findings.Conclusions Comorbidity should be systematically assessed in IAD adolescents, with categorical and dimensional measures, as it may guide personalized treatments.

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