Department of Maternal, Child and Adolescent Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Neurosurgery, Daping Hospital, Army Medical Center of PLA, Army Medical University, Chongqing, China.
J Affect Disord. 2022 Sep 1;312:198-207. doi: 10.1016/j.jad.2022.06.026. Epub 2022 Jun 18.
Previous studies have reported that Internet addiction (IA) is an important predictor of aggression. However, little is known whether aggression is a risk factor of IA. This study aims to explore whether IA can predict total and sub-types of aggression, whether aggression also can predict IA, and the potential sex difference.
A total of 15,977 adolescents aged 12 to 18 were recruited though a stratified cluster sampling across five representative provinces in mainland of China. Young's Internet Addiction Test (IAT) and Buss and Warren's Aggression Questionnaire (BWAQ) were used to measure IA and aggression, respectively.
The prevalence of IA and total aggression was 16.8 % and 25.0 %, respectively. Binary logistic regression analysis indicated that IAT score was significantly associated with total and five sub-types of aggression (P < 0.001). However, scores of physical aggression, hostility, and indirect aggression were positively associated with IA (P < 0.001), while verbal aggression and anger were not significant (P > 0.05). Moreover, the interaction of sex and IA was significant for aggression. Specifically, females with IA had higher risks of anger and indirect aggression but had lower risks of physical and verbal aggression compared to males with IA.
Cross-sectional design, self-reported information, and only Chinese rural adolescents.
IA is a strong risk factor of total and five sub-types of aggression, while not all sub-types of aggression are predictors of IA. Prevention programs for adolescents' IA and aggression should consider different aggression sub-types and sex.
先前的研究报告称，网络成瘾（IA）是攻击行为的重要预测因素。然而，尚不清楚攻击行为是否是 IA 的危险因素。本研究旨在探讨 IA 是否可以预测总体和亚型攻击行为，攻击行为是否也可以预测 IA，以及潜在的性别差异。
通过在中国五个具有代表性的省份进行分层聚类抽样，共招募了 15977 名 12 至 18 岁的青少年。使用 Young 的互联网成瘾测试（IAT）和 Buss 和 Warren 的攻击问卷（BWAQ）分别测量 IA 和攻击行为。
IA 和总体攻击的患病率分别为 16.8%和 25.0%。二元逻辑回归分析表明，IAT 得分与总体和五种亚型攻击均显著相关（P<0.001）。然而，身体攻击、敌意和间接攻击的得分与 IA 呈正相关（P<0.001），而言语攻击和愤怒则没有显著相关（P>0.05）。此外，性别与 IA 的交互作用对攻击具有显著影响。具体来说，与男性 IA 患者相比，女性 IA 患者的愤怒和间接攻击风险更高，而身体和言语攻击风险则更低。
横断面设计、自我报告信息以及仅为中国农村青少年。
IA 是总体和五种亚型攻击的一个强有力的危险因素，而不是所有亚型的攻击都是 IA 的预测因素。青少年 IA 和攻击的预防计划应考虑不同的攻击亚型和性别。
