Bayesian network analysis of harsh parenting, experiential avoidance, and adolescent short video addiction risk

Li-Hua LYU; Jun-Jie JIANG; Xian-Li AN; Cheng-Bin GUAN; Hua YANG; Yang HAO

doi:10.7499/j.issn.1008-8830.2506097

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Chinese Journal of Contemporary Pediatrics ›› 2026, Vol. 28 ›› Issue (1) : 42-48. DOI: 10.7499/j.issn.1008-8830.2506097

CLINICAL RESEARCH

Bayesian network analysis of harsh parenting, experiential avoidance, and adolescent short video addiction risk

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Abstract

Objective To analyze the Bayesian network of harsh parenting, experiential avoidance, and adolescent short video addiction risk, identify key nodes, and provide precise recommendations for intervention. Methods In March 2025, the Harsh Parenting Scale, Experiential Avoidance Scale, and Short Video Addiction Scale were administered to 1 594 adolescents. Network analysis was performed using JASP 0.95.4, and key nodes were identified via centrality estimation. Results The core nodes of harsh parenting, experiential avoidance, and short video addiction risk were "I am hit with hands or kicked when I do something wrong or make my parents angry" (expected influence = 0.301), "Certain feelings make me feel scared" (expected influence = 0.684), and "Withdrawal" (expected influence = 1.222), respectively. Conclusions Interventions targeting these key nodes serve as an important reference for mitigating the impact of harsh parenting, experiential avoidance, and short video addiction risk on adolescents.

Key words

Harsh parenting / Experiential avoidance / Short video addiction risk / Adolescent

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Li-Hua LYU , Jun-Jie JIANG , Xian-Li AN , et al . Bayesian network analysis of harsh parenting, experiential avoidance, and adolescent short video addiction risk[J]. Chinese Journal of Contemporary Pediatrics. 2026, 28(1): 42-48 https://doi.org/10.7499/j.issn.1008-8830.2506097

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