Characterizing heterogeneity in emotional and behavioral problems: Latent class analysis with 507,188 children and adolescents and associations with mobile gaming addiction behavior

潜在类模型 心理学 优势与困难问卷 亲社会行为 联想(心理学) 优势比 上瘾 逻辑回归 潜在增长模型 心理健康 发展心理学 适度 临床心理学 可能性 置信区间 结构方程建模 成瘾行为 潜变量模型 潜变量 青少年健康 回归分析 心理测量学 混合模型 纵向研究
作者
Zhengge Jin,Xia Yang,Lixin Hu,Lin Yao,Wenxin Ge,Jiaqi Chen,Zhuowen Wu,S. Lin,Yinhuan Guo,Yajun Chen
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:55: e389-e389
标识
DOI:10.1017/s0033291725102869
摘要

Abstract Background While mobile gaming addiction (MGA) behavior is increasingly prevalent among children and adolescents, the role of specific emotional-behavioral profiles – particularly their latent patterns – in associating with MGA behavior remains poorly understood. This study aimed to examine these associations and age-related variations. Methods Data were analyzed from 507,188 participants aged 6–18 years in the Children’s Growth Environment, Lifestyle, and Physical and Mental Health Development Project, conducted in Guangzhou, China, in 2020. Latent class analysis was performed on parent-reported Strengths and Difficulties Questionnaire (SDQ) data to identify subgroups with distinct emotional and behavioral problems. Associations between SDQ dimensions, latent classes, and MGA behavior were examined using logistic regression analysis. Results Five latent classes were identified: ‘Low symptom’ (82.2%), ‘Internalizing’ (0.8%), ‘Peer and prosocial issues’ (4.3%), ‘High difficulties’ (5.0%), and ‘Hyperactive’ (7.6%). Compared to the ‘Low symptom’ class, all other latent classes showed significantly higher risks for MGA, with the strongest association observed in the ‘Internalizing’ class (adjusted odds ratio [AOR]: 2.84; 95% confidence interval [95% CI]: 2.67–3.02). Among SDQ subscales, conduct problems presented the highest association (AOR: 2.08; 95% CI: 2.04–2.12), though all SDQ subdimensions were significantly positively correlated with MGA behavior (all p < 0.05). Notably, these associations were consistently stronger in adolescents (aged 13–18 years) than in children (aged 6–12 years). Conclusions This study identifies specific SDQ-based risk characteristics for MGA behavior, with adolescents (aged 13–18 years) being the most vulnerable. Future longitudinal studies should verify these associations, and clinicians may prioritize early screening for internalizing and conduct-related difficulties.

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