Relationship between family–school–peer risks and problematic Internet use among boarding high school students in China: based on a latent profile analysis - Scorecard - MDSpire

Relationship between family–school–peer risks and problematic Internet use among boarding high school students in China: based on a latent profile analysis

  • By

  • Jing Shi

  • Bopeng Yu

  • Sihan Hao

  • June 8, 2026

  • 0 min

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Clinical Scorecard: Exploring the Impact of Family, School, and Peer Risk Factors on Problematic Internet Use in Chinese Boarding High School Students: A Latent Profile Analysis Approach

At a Glance

CategoryDetail
ConditionProblematic Internet Use
Key MechanismsFamily, school, and peer risk configurations; maladaptive cognition; psychological resilience
Target PopulationChinese boarding high school students
Care SettingEducational and psychological contexts

Key Highlights

  • Four risk profiles identified: Low Combined Risk Group, Balanced Risk Group, High School–Peer Risk Group, High Combined Risk Group
  • High Combined Risk Group reported the highest level of problematic Internet use
  • Maladaptive cognition partially mediates the association between high-risk profiles and problematic Internet use
  • Psychological resilience attenuates the direct association between risk profiles and problematic Internet use

Guideline-Based Recommendations

Diagnosis

  • Assess configurations of family, school, and peer risks in adolescents

Management

  • Implement interventions targeting maladaptive cognition and enhancing psychological resilience

Monitoring & Follow-up

  • Regularly evaluate students' Internet use patterns and associated risk factors

Risks

  • Consider the impact of low family socioeconomic status, parent–child conflict, teacher–student conflict, deviant peer affiliation, and peer victimization

Patient & Prescribing Data

Boarding high school students in China

Focus on psychological resilience and cognitive-behavioral strategies

Clinical Best Practices

  • Utilize latent profile analysis to identify risk configurations
  • Incorporate ecological systems perspective in assessments
  • Address both environmental and cognitive factors in interventions

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