Symptoms and functional impairments in patients with Internet Use Disorders participating in an online short-term...

Internet use disorders (IUD) have been recognized as a serious mental health concern. In order to promote consensus on core features of IUD, further studies involving clinical samples are required.

A clinical evaluation of patients with IUD was conducted as part of the scientific monitoring of a novel online short-term therapy, embedded in the randomized controlled trial Stepped Care Approach for Problematic Internet use Treatment (SCAPIT; ID: DRKS00025994).

An online diagnostic and a clinical assessment were performed at the baseline measurement of the online intervention. The self-report version of the Assessment of Internet and Computer Game Addiction (AICA-S) was applied to assess symptom severity of IUD. The impact of psychopathological symptoms and impairments of functioning on IUD symptomatology was examined in the sample of patients. Based on a dichotomous classification of the symptom severity of IUD, differences among participants presenting moderate compared to severe addictive Internet behavior were analyzed.

The sample of this an analysis consisted of 57 patients (57.9% males, mean age of 29.12 years) participating in the online short-term therapy for IUD. Based on the AICA-S sum score (M = 11.60; SD = 3.30) participants exhibited moderate (n = 44; 77.2%) to severe (n = 13; 22.8%) symptoms of addictive Internet use. Psychopathological symptoms and impairments of psychosocial functioning had an effect on symptom severity of IUD. Participants with severe symptoms of IUD showed higher psychopathological strains compared to patients with moderate addictive Internet behavior.

The clinical evaluation of patients participating in a novel online short-term therapy for IUD indicated that psychopathological symptoms and impairments of functioning have an impact on addictive Internet behaviors and consequently, need to be addressed in the treatment of IUD. Based on the results, further implications for clinical practice and research on addictive Internet behavior are derived.