Portrait Clinique des Adolescents en Traitement Pour une Utilisation Problématique d’Internet
Bibliographic record
Abstract
OBJECTIVES: This study highlights the clinical profile of adolescents having consulted with an addiction treatment center (ATC) in Québec for a problematic internet use (PIU) to develop knowledge about these specific clients and precisely target their needs relative to treatment. METHOD: The study was conducted with 80 adolescents between ages 14 and 17 (M = 15.59) who had consulted with an ACT for a PIU. Adolescents have participated in an interview documenting internet use patterns and their consequences, mental health disorder co-occurrence, and family and social relationships. RESULTS: The sample was constituted of 75 boys (93.8%) and 5 girls (6.3%), who spent an average of 55.8 hours (SD = 27.22) per week on internet for non-school or professional activities. Almost all of these youths (97.5%) presented a co-occurring mental health disorder, and more than 70% had seeked help last year for a psychological problem. Results show that 92.6% feel their internet use significantly hinders their family relationships, and 50% feel it impedes their social relationships. CONCLUSIONS: This study shows the multiple difficulties experienced by adolescents in need of a treatment for their PIU. The presence of co-occurring mental health disorders and relational difficulties among them underlines the need to develop and implement in ACTs integrated assessments and treatments that target not only online activities, but also all of life domains that can be affected by PIU. CLINICAL IMPLICATIONS: - PIU adolescents are mainly boys who report problematic use of video games. - Almost all young people who consult for PIU have comorbid mental health problems and difficulties in their relation. - The study highlights the need to offer to this clientele an integrated assessment and treatment services that target all areas of their lives who are likely to be affected, to contribute or maintain the PIU. LIMITATIONS: - This study was conducted with a convenience sample and the results are representative of young people who have visited a treatment center for addiction. The generalization of results to all adolescents with PIU is limited. - Considering that PIU are subject to cultural influence, the scope of this study is limited to populations living in a culture similar to that of Quebec and Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".