ArticleJournal of autism and developmental disorders2021
Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder.
Article in Journal of autism and developmental disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Screen Time and Autism Spectrum Disorder: A Comprehensive Systematic Review of Risk, Usage, and Addiction.Journal of autism and developmental disorders · 2026Pooled it
- Caught in the Web of the Net? Part I: Meta-analyses of Problematic Internet Use and Social Media Use in (Young) People with Autism Spectrum Disorder.Clinical child and family psychology review · 2025Pooled it
- Dynamic Risk and Protective Factors of NSSI in Middle School Students: A Longitudinal Study.Actas espanolas de psiquiatria · 2026Article
- The Relationship Between Impulsivity, Anxiety and Internet Addiction in Adolescents with Autism Spectrum Disorder: A Moderated Mediation Model.The Psychiatric quarterly · 2026Article
- Depression and its associated factors among adult women in Bangladesh during the July 2024 revolution.Discover mental health · 2026Article
- Article
- Cross-lagged analysis of depression symptoms and internet addiction tendencies among first-year university students and the moderating effects of urban-rural background and sibling status.Frontiers in psychiatry · 2026Article
- The prevalence of internet addiction and its association with quality of life among inflight security officers based on a national survey: a network analysis perspective.European archives of psychiatry and clinical neuroscience · 2025Article
- Network Analysis of Parental Emotion Awareness and Emotion Coaching: Associations with Prosocial Behavior in Chinese Autistic Children.Journal of autism and developmental disorders · 2025Article
- Internet addiction and its association with quality of life in college students: a network perspective.Frontiers in psychiatry · 2025Article
- From comfortable to conflicted: a three-year longitudinal symptom evolution of problematic Internet use among junior high school students.Frontiers in psychiatry · 2025Article
- Network analysis of work-family support and career identity and their associations with job burnout among primary healthcare workers: a cross-sectional study.Frontiers in public health · 2025Article
- Age Differences in the Associations Between Interpersonal Relationships and Short-Form Video Addiction Symptoms: A Network Analysis.Psychology research and behavior management · 2024Article
- Network analysis of autism traits and problematic mobile phone use and their associations with depression among Chinese college students.Frontiers in psychiatry · 2024Article
- Network Analysis of Internet Addiction, Online Social Anxiety, Fear of Missing Out, and Interpersonal Sensitivity among Chinese University Students.Depression and anxiety · 2024Article
- The Impact of Long-Term Online Learning on Internet Addiction Symptoms among Depressed Secondary School Students: Insights from a Cross-Panel Network Analysis.Behavioral sciences (Basel, Switzerland) · 2023Article
- Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective.Translational psychiatry · 2023Article
- Gender differences in symptom structure of adolescent problematic internet use: A network analysis.Child and adolescent psychiatry and mental health · 2023Article
- Addiction Symptom Network of Young Internet Users: Network Analysis.Journal of medical Internet research · 2022Article
- Internet addiction and its association with quality of life in patients with major depressive disorder: a network perspective.Translational psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present study, we employed network analysis that conceptualizes internet addiction (IA) as a complex network of mutually influencing symptoms in 108 adolescents with autism spectrum disorder (ASD) to examine the network architecture of IA symptoms and identify central/influential symptoms. Our analysis revealed that defensive and secretive behaviors and concealment of internet use were identified as central symptoms in this population, suggesting that mitigating these symptoms potentially prevent the development and/or maintenance of IA in adolescents with ASD. Providing adolescents and their caregivers with psychoeducation on the role of central symptoms above in IA can be a salient intervention. Doing so may facilitate nonconflicting conversations between them about adolescents' internet use and promote more healthy adolescents' internet use behavior.
Indexed as
Identifiers
What 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.