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

[严厉教养方式、体验回避与青少年短视频成瘾风险的贝叶斯网络分析]

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Abstract

OBJECTIVES: 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.

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