ArticleJournal of behavioral addictions2021
Understanding juveniles' problematic smartphone use and related influencing factors: A network perspective.
Article in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 53 citations in OpenAlex.
- Peer-Mediated Digital Awareness Among Adolescents: Insights from a CAWI-Based Assessment at the European Researchers' Night.Behavioral sciences (Basel, Switzerland) · 2026Article
- Prevalence and Distinct Correlates of Smartphone Addiction, Depressive Symptoms, and Their Comorbidity in College Students.Psychiatry investigation · 2025Article
- Mapping the links between problematic smartphone use, exercise procrastination, and self-control: a network analysis.BMC psychology · 2025Article
- Grade-level differences in the association between cumulative family risk factors and problematic smartphone use among Chinese adolescents.BMC psychology · 2025Article
- Stress, loneliness, depression, anxiety and problematic smartphone use among a sample of Syrian refugee adolescents: a network approach.Child and adolescent psychiatry and mental health · 2025Article
- Transdiagnostic Compulsivity Traits in Problematic Use of the Internet Among UK Residents: Cross-Sectional Network Analysis Study.Journal of medical Internet research · 2025Article
- Gender differences in symptom interactions between problematic smartphone use and social anxiety in adolescents: a network analysis.Child and adolescent psychiatry and mental health · 2025Article
- The mediating role of smartphone addiction in the relationship between emotion regulation difficulties and juvenile delinquency.Frontiers in psychiatry · 2025Article
- Network analysis of interactions of rumination and anxiety on smartphone dependence symptoms.Frontiers in psychiatry · 2025Article
- Understanding the relationships among adolescents' internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China.BMC psychiatry · 2024Article
- Internet Gaming Disorder and Mental Health Literacy: A Latent Profile Analysis of Korean Adolescents.Psychiatry investigation · 2024Article
- Article
- A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students.Psychology research and behavior management · 2024Article
- Psychosomatic health status and corresponding comorbid network analysis of college students in traditional Chinese medicine schools.Frontiers in psychiatry · 2024Article
- Age Differences in the Associations Between Interpersonal Relationships and Short-Form Video Addiction Symptoms: A Network Analysis.Psychology research and behavior management · 2024Article
- The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses.Journal of gambling studies · 2023Article
- The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses.BMC psychiatry · 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
- Article
- Bridging the links between Big Five personality traits and problematic smartphone use: A network analysis.Journal of behavioral addictions · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsTo understand the interaction between problematic smartphone use (PSU) and related influencing factors (individual variables, family environment, and school environment) and to determine the most influential factors affecting the use of smartphones by juveniles to implement effective interventions in the future.
methodsA total of 3,442 children and adolescents (3,248 actual participants (males = 1,638, average age = 12.27 ± 2.36)) were included in the study. This study measured juveniles' PSU and its influencing factors: individual variables (4 factors), family environments (13 factors), and school environments (5 factors). This study employed a network analysis approach for data assessment.
resultsThis study found that there were several central influencing factors (such as self-control ability, loss of control, parent-child relationship, and peer attitudes towards smartphone use) and bridge factors (such as peer attitudes towards smartphone use, peer pressure for smartphone use, and fear of missing out). DISCUSSION AND
conclusionsJuveniles' PSU included several core symptoms and critical influencing factors. Intervention based on these factors may be effective, timely, and inexpensive.
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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.