Zhang Xiujuan, Huang Xi, Chen Qiong, Song Yan, Jiang Xixi, Zhou Junxia, Zhao Xiufang, Zhao Li
Department of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China.
Front Public Health. 2024 Nov 27;12:1498466. doi: 10.3389/fpubh.2024.1498466. eCollection 2024.
This study explores the correlation between internet addiction (IA) and deviant behaviors among primary and secondary school students. It analyzes the impact of family functional factors, such as family relationships, parent-child communication, and parental control, on IA. The findings aim to provide a scientific basis for educators and parents to develop targeted preventive and intervention measures.
A cross-sectional survey was conducted using self-administered questionnaires among 8,816 students from five primary and secondary schools in Chengdu. The questionnaire included basic information about students and their families, Young's Internet Addiction Scale, Shek's Deviant Behavior Scale, and the Chinese Family Assessment Instrument (C-FAI). Chi-square tests and -tests were used to compare differences between the at-risk group for internet addiction and the normal population. Statistically significant variables were extracted and included in the hierarchical regression model, with the level of significance set at = 0.05.
The detection rate of IA risk among primary and secondary school students was 14.11%, and the detection rate of deviant behaviors in this group was 85.21%. Deviant behaviors such as deceit ( = 0.201), running away from home ( = 0.215), and damaging others' property ( = 0.209) showed a weak correlation with the risk of internet addiction, and the differences were statistically significant ( < 0.05). The results of the hierarchical regression analysis showed that all five dimensions of family environment and delinquency scores positively predicted internet addiction. Specifically, the change in R was 8.7% for mutual concern among family members and 9.7% for student delinquency behavior. Together, family environment and delinquency behavior explained 22.1% of the variance.
Primary and secondary school students at risk of IA are more likely to exhibit deviant behaviors, which show a weak correlation with IA. Gender and grade level significantly impact the risk of IA, indicating that male students and those in higher grades require more attention. Strengthening family interventions, especially in areas of mutual communication, family conflict resolution, and parental control, can help prevent IA among primary and secondary school students.
本研究探讨中小学生网络成瘾（IA）与偏差行为之间的相关性。分析家庭关系、亲子沟通和父母控制等家庭功能因素对网络成瘾的影响。研究结果旨在为教育工作者和家长制定有针对性的预防和干预措施提供科学依据。
采用自填式问卷对成都五所中小学的8816名学生进行横断面调查。问卷包括学生及其家庭的基本信息、杨氏网络成瘾量表、石氏偏差行为量表和中国家庭评估工具（C-FAI）。采用卡方检验和t检验比较网络成瘾高危组与正常人群之间的差异。提取具有统计学意义的变量并纳入层次回归模型，显著性水平设定为α = 0.05。
中小学生网络成瘾风险检出率为14.11%，该组偏差行为检出率为85.21%。欺骗（r = 0.201）、离家出走（r = 0.215）和损坏他人财产（r = 0.209）等偏差行为与网络成瘾风险呈弱相关性，差异具有统计学意义（P < 0.05）。层次回归分析结果表明，家庭环境的所有五个维度和犯罪得分均正向预测网络成瘾。具体而言，家庭成员之间的相互关心维度R变化为8.7%，学生犯罪行为维度R变化为9.7%。家庭环境和犯罪行为共同解释了22.1%的方差。
有网络成瘾风险的中小学生更易表现出偏差行为，且与网络成瘾呈弱相关性。性别和年级水平对网络成瘾风险有显著影响，表明男生和高年级学生需要更多关注。加强家庭干预，特别是在相互沟通、家庭冲突解决和父母控制方面，有助于预防中小学生网络成瘾。
