Psychometric Properties of Screening Instruments for Social Network Use Disorder in Children and Adolescents: A Systematic Review.

Importance: Children and adolescents spend considerable time on the internet, which makes them a highly vulnerable group for the development of problematic usage patterns. A variety of screening methods have already been developed and validated for social network use disorder (SNUD); however, a systematic review of SNUD in younger age groups has not been performed. Objective: To review published reports on screening tools assessing SNUD in children and adolescents with a maximum mean age of 18.9 years. Evidence Review: To identify instruments for the assessment of SNUD, a systematic literature search was conducted in the databases PsycINFO, PubMed, Web of Science, PsycArticles, and Scopus. The final search took place on May 2, 2022. Psychometric properties of available tools were examined and evaluated to derive recommendations for suitable instruments for individuals up to 18 years of age. Findings: A total of 5746 publications were identified, of which 2155 were excluded as duplicates. Of the remaining 3591 nonredundant publications, 3411 studies were assessed as not relevant after title and abstract screening. A full-text analysis of 180 remaining studies classified as potentially eligible resulted in a final inclusion of 29 studies revealing validation evidence for a total of 19 tools. The study quality was mostly moderate. With regard to validation frequency, 3 tools exhibited the largest evidence base: Social Media Disorder Scale (SMDS), the short version of the Bergen Facebook Addiction Scale, and Bergen Social Media Addiction Scale-Short Form (BSMAS-SF). Among these, 1 study tested a parental version (SMDS-P) for its psychometric properties. Taking all criteria into account, the strongest recommendation was made for the SMDS and BSMAS-SF. Conclusions and Relevance: Results suggest that the SMDS-SF and BSMAS-SF were appropriate screening measures for SNUD. Advantages of the SMDS are the availability of a short version and the possibility of an external parental rating.

Study protocol for a randomised controlled trial of an e-health stepped care approach for the treatment of internet use disorders versus a placebo condition: the SCAPIT study.

INTRODUCTION: Excessive internet use can lead to problems for some individuals. The WHO has introduced Gaming Disorder in the International Classification of Diseases-11 (ICD-11). Previous research has shown that other internet applications can cause serious mental health problems as well. It is important to provide measures of prevention, early intervention and therapy for internet use disorders (IUDs). METHODS AND ANALYSIS: The study 'Stepped Care Approach for Problematic Internet use Treatment' is a randomised, two-arm, parallel-group, observer-blind trial. The aim of the study is to investigate if a stepped care approach is effective to reduce symptom severity for IUD. The sample is primarily recruited online with a focus on employees in companies with support of health insurances. After screening, the stepped care approach depends on the success of the previous step-that is, the successful reduction of criteria-and comprise: (1) app-intervention with questionnaires and feedback, (2) two telephone counsellings (duration: 50 min) based on motivational interviewing, (3) online therapy over 17 weeks (15 weekly group sessions, eight individual sessions) based on cognitive-behavioural therapy. A follow-up is conducted after 6 months. A total of 860 participants will be randomised. Hierarchical testing procedure is used to test the coprimary endpoints number of Diagnostic and Statistical Manual of Mental Disorders, fifth edition and ICD-11 criteria. Primary analysis will be performed with a sequential logit model. ETHICS AND DISSEMINATION: The study has been approved by the Ethics Committees of the Universities of Lübeck (file number: 21-068), Mainz (file number: 2021-15907) and Berlin (file number: 015.2021). Results will be reported in accordance to the CONSORT statement. If the approach is superior to the control condition, it may serve as part of treatment for IUD. TRIAL REGISTRATION NUMBER: DRKS00025994.

Motivational brief interventions for adolescents and young adults with Internet use disorders: A randomized-controlled trial.

Background: Adolescents and young adults (AYA) have an increased risk for Internet use disorders (IUD) compared to older individuals that may lead to functional impairments in daily life. To date, evidence-based brief interventions are lacking. This study aimed to test the efficacy of a low-threshold counseling approach based on Motivational Interviewing (MI) in a vocational school setting. Methods: Of 8.230 vocational students (age M=20.56, SD=4.68; 51.85% female) being proactively screened for IUD, 937 with positive screenings took part in telephone-based diagnostic interviews. IUD were assessed in line with the criteria of the Internet Gaming Disorder in the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). Readiness to change, self-efficacy, and impairments in daily life were additionally assessed with standardized screening instruments. Participants fulfilling at least two IUD criteria were randomized to the intervention group (n=240, up to three MI-based counseling sessions via telephone) or the control group (n=257, information brochure on responsible Internet use). Follow-up interviews were conducted after five and ten months. The primary outcome was the reduction of IUD criteria. Secondary outcomes were improvements of readiness/ self-efficacy to change and the reduction of daily impairments. Data were analyzed with Intention-to-Treat (ITT) and complier average causal effect (CACE) analyses. Results: Overall, 153 (63.75%) individuals assigned to the intervention group participated at least in one counseling session (=compliers). Both groups reduced the number of IUD criteria over time. In ITT analyses, however, we did not find intervention effects for primary and secondary outcomes. Bayes statistics were inconclusive. Based on low participation rates in the intervention group, explorative CACE analyses were conducted to compare compliers in the intervention group to potential compliers in the control group. Again, we did not find intervention effects apart from improvements in self-efficacy after five months. Discussion: Telephone-based counseling seems not appropriate to address AYA at risk for IUD. Low participation rates in the intervention group caused underpowered analyses. Besides, dealing with the own Internet use during intensive assessments and receiving an information brochure led to behavioral changes also in the control group. Since the efficacy of brief interventions under the condition of higher participation rates cannot be fully ruled out, further research is required by taking the implications of this study into account.

Psychosocial Determinants of Cannabis Dependence: A Systematic Review of the Literature.

BACKGROUND: Many studies have examined factors associated with the first onset of cannabis use and abuse. Currently, there is relatively little research regarding conditions under which cannabis dependence is more likely to emerge. Although previous studies have examined different potential determinants of cannabis dependence, to our knowledge, a systematic review is lacking. AIMS: The study aims to identify recent findings regarding psychosocial determinants of cannabis dependence and to summarize them systematically. METHODS: A literature search in 4 databases - Embase, Medline, PsycINFO and PSYNDEX - was conducted. Searches were limited to publications between 2000 and April 2014, English and German as languages and humans as study subjects. RESULTS: Our search detected a total of 10,568 studies. Twenty-six studies finally met inclusion criteria. Consumption patterns such as a regular cannabis use independent of social context and an early onset of use (11-15 years) were correlates of cannabis dependence. Moreover, early reactions to cannabis use and coping-oriented use motives explained additional variance. Stress factors and critical life events such as parental separation and early parental death as well as mental and social conflicts have also been linked with development of cannabis dependence. Additionally, comorbid mental disorders correlated with cannabis dependence. CONCLUSION: Numerous factors were shown to have an impact on transition to cannabis dependence. In particular, a wide range of mental disorders has been linked to an elevated risk of becoming dependent. The development of a dependence syndrome seems to be associated with diverse processes, in which social, biological and intra-individual factors interact in a complex manner. Nevertheless, the link between cannabis dependence and predisposing factors could not be resolved convincingly by most studies due to methodological weaknesses regarding dependence criteria.