Abstract

Objective To explore the relationship between Internet addiction and depressive symptoms among adolescents, and to provide a scientific basis for preventing depression symptoms. Methods This study was conducted using a stratified random cluster sample method to select 2 149 junior school students reported Internet addiction and depressive symploms in Jilin Province. Propensity score method and quantile regression model were used to evaluate the association between Internet addiction and depressive symploms. Results Among the 2 149 participants, 386 (18.0%) were found Internet addictive. Prevalence of Internet addition differed significantly among students with different gender, grade, whether smoking or drinking, whether have corporal punishment from parents, sleep duration and body mass index ( P <0.05). Depressive symptom scores differed in students with smoking, corporal punishment from parents and insufficient sleep duration ( P <0.05). Quantile regression model found that with the quantile increasing, the risk of Internet addiction was also higher due to depressive symptoms ( P <0.05) . If Internet addiction occurred, their depressive symptom score would be improved 5.08 points for non-Internet addiction students. Conclusion Internet addiction shows potential impact on depression symptom students. The effect of Internet addiction increased with depression symptoms severity. The results of present study will provide a scientific basis for improving students’ mental health in the future. 【摘要】 目的 探讨青少年网络成瘾与抑郁症状的关系, 为预防学生抑郁提供科学依据。 方法 采用分层随机整群抽样 方法, 抽取吉林省 2 149 名初中生, 利用网络成瘾量表与抑郁量表进行问卷调査, 使用倾向得分匹配法和分位数回归分析 探讨网络成瘾和抑郁症状的内在关系。 结果 2 149 名被试中, 网络成瘾者 386 名, 检出率为 18.0%。不同性别、年级、是 否吸烟和是否饮酒、家长是否经常打骂、睡眠时间和体质量指数学生网络成瘾检出率差异均有统计学意义 ( P 值均<0.05)。 是否吸烟、家长打骂及不同睡眠时间学生抑郁症状总分比较, 差异均有统计学意义 ( P 值均<0.05)。百分位数回归模型发 现, 随着抑郁症状得分百分位水平的升髙, 网络成瘾影响抑郁症状的风险更髙 ( P <0.05)。在网络成瘾对抑郁症状的影响 效应中发现, 如果当前非网络成瘾学生出现网络成瘾, 抑郁症状总分会提髙 5.08 分。 结论 网络成瘾可以显著影响抑郁 症状, 并且随着抑郁症状严重程度的增加, 网络成瘾的作用也不断增强, 可为今后改善学生心理健康提供科学依据。

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