ArticleEuropean child & adolescent psychiatry2026
From overuse to self-control: impact of a psychosocial skills program in preventing internet addiction among Tunisian adolescents.
Article in European child & adolescent psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInternet addiction can negatively affect adolescents' daily life, relationships, and mental health. Prevention programs implementation is essential to promote healthy digital habits. Our study aims to assess the impact of implementing a psychosocial skills training program on the prevention of internet addiction among Tunisian adolescents.
methodWe conducted a pilot randomized controlled study among adolescents aged 15-16 from a high school in the Monastir region during the 2023-2024 school year. Participants were randomly assigned to an intervention group or a waiting-list group. The program focused on developing psychosocial skills with before and after assessments using validated tools: Young's Internet Addiction Test and Internet Gaming Disorder Scale to assess internet addiction behaviors, Child Behavior Checklist to evaluate emotional and behavioral disorders, Rosenberg Self-Esteem Scale to measure self-esteem, and the Child and Youth Resilience Measure to assess resilience. Self-report questionnaires were completed anonymously, while parent-reported CBCL data were collected using unique participant codes to allow pre- and post-intervention matching while maintaining confidentiality.
resultsA total of 58 adolescents participated in this study, including 27 in the intervention group and 31 in the waiting-list group. The sample comprised 25 boys and 33 girls. The mean age of the participants was 15.53 ± 0.50 years. Adolescents in the intervention group (n = 27) showed significant reductions in Internet addiction and Internet Gaming Disorder scores (p = 0.004, p = 0.003, respectively), as well as in both internalizing and externalizing behavioral problems (p = 0.001, p = 0.003, respectively), with increased self-esteem levels (p = 0.005). Resilience scores also improved, although not significantly. In contrast, the waiting-list group (n = 31) either showed no improvement or experienced a worsening in these areas. Intergroup comparisons favored the intervention group, particularly regarding addiction and behavioral regulation.
conclusionOur results suggest that a school-based psychosocial skills training program may reduce internet addiction and improve emotional and behavioral functioning among adolescents. Larger randomized controlled trials with longer follow-up periods are warranted to confirm these findings.
Indexed as
Identifiers
42313186What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.