上海市闵行区中小学生网络成瘾现状调查分析
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闵行区公共卫生重点学科建设项目(MGWXK2023-13)


Current situation of internet addiction among primary and middle school students in Minhang District of Shanghai
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    摘要:

    目的 调查上海市闵行区青少年网络成瘾现状,并分析各学段及不同性别青少年的网 络成瘾现状。方法 采用整群随机抽样法,于 2023 年 4— 5 月选取上海市闵行区 3 所小学三年级和(或) 四年级、1 所初中二年级、1 所高中一年级的学生为研究对象。收集青少年一般资料,采用中文网络成瘾 量表修订版(CIAS-R)比较不同学段、不同性别青少年网络成瘾情况的差异。采用单因素及有序 Logistic 回归分析青少年网络成瘾的影响因素。本研究线下共发放问卷 1 284 份,回收有效问卷 1 044 份,问卷 有效回收率为81.3%。结果 青少年网络依赖总检出率为5.9%(62/1 044),网络成瘾总检出率为2.9%(30/ 1 044)。其中小学生的网络依赖检出率为 4.0%(27/672),网络成瘾检出率为 1.6%(11/672);中学生的网 络依赖检出率为 9.4%(35/372),网络成瘾检出率为 5.1%(19/372),中小学生网络成瘾程度比较,差异有 统计学意义(χ2 =23.816,P< 0.001);不同性别青少年网络成瘾程度比较,差异无统计学意义(P> 0.05)。 不同学段及不同性别青少年各自 CIAS-R 总分、网络成瘾核心症状分量表得分、网络成瘾相关问题分 量表得分及 4 个因子得分比较,差异均有统计学意义(均P< 0.05)。小学生群体中,不同性别青少年网 络成瘾程度、CIAS-R 总分、两分量表得分及 4 个因子得分比较,差异均有统计学意义(均P< 0.05);男 生群体中,不同学段青少年 CIAS-R 总分、两分量表得分及 4 个因子得分比较,差异均有统计学意义(均 P< 0.05);女生群体中,不同学段青少年网络成瘾程度、CIAS-R 总分、两分量表得分及 4 个因子得分 比较,差异均有统计学意义(均P< 0.05)。Logistic 回归分析显示,学段为中学是青少年网络成瘾的危 险因素(OR=2.852,95%CI=1.842~4.410,P< 0.001);在小学生群体中,性别为男性是网络成瘾的危险 因素(OR=3.593,95%CI=1.622~7.956,P=0.002);在女生群体中,学段为中学是网络成瘾的危险因素 (OR=7.106,95%CI=3.152~16.023,P< 0.001)。结论 上海市闵行区中小学生网络成瘾程度在中学男、 女生中水平最高,其次是小学男生,小学女生网络成瘾程度水平最低。

    Abstract:

    Objective To investigate the current situation of internet addiction among adolescents in Minhang District, Shanghai, and analyze the risk level of internet addiction among adolescents of different school stages and genders. Methods From April to May 2023, students in the third and/or fourth grades of three primary schools, one second grade of junior high school, and one first grade of high school in Minhang District, Shanghai were selected as the research subject by cluster random sampling method. This study collected general information of adolescents and compared the differences in internet addiction among adolescents of different school stages and genders using the Revised Chen Internet Addiction Scale (CIAS-R).Univariate and ordered Logistic regression were used to analyze the risk factors of adolescent internet addiction. A total of 1 284 questionnaires were distributed offline, and 1 044 valid questionnaires were collected, with a valid response rate of 81.3%. Results In the adolescents, the total detection rate of internet dependency was 5.9% (62/1 044), and the total detection rate of internet addiction was 2.9% (30/1 044). The detection rate of internet dependency among primary school students was 4.0% (27/672), and the detection rate of internet addiction was 1.6% (11/672). The detection rate of internet dependency among middle school students was 9.4% (35/372), and the detection rate of internet addiction was 5.1% (19/372). There was a statistically significant difference in the level of internet addiction among primary and middle school students (χ2 =23.816, P< 0.001). There was no statistically significant difference in the level of internet addiction among adolescents of different genders (P> 0.05). There were statistically significant differences in the total score of CIAS-R, the scores of the core symptoms of internet addiction subscale, the scores of the internet addiction related problems subscale, and the scores of the four factors among adolescents of different school stages and genders (all P < 0.05). In the primary school students, there were statistically significant differences in the level of internet addiction, total CIAS-R score, two subscale score, and four factor score among adolescents of different genders (all P < 0.05). In the male population, there were statistically significant differences in the total CIAS-R score, two subscale score, and four factor score among adolescents from different school stages (all P< 0.05). In the female population, there were statistically significant differences in the level of internet addiction, total CIAS-R score, two subscale score, and four factor score among adolescents of different school stages (all P<0.05). Logistic regression analysis showed that middle school stage was a risk factor for adolescent internet addiction [OR=2.852, 95%CI=(1.842, 4.410), P < 0.001]. Among primary school students, male gender was a risk factor for internet addiction [OR=3.593, 95%CI (1.622, 7.956), P=0.002]. In the female population, middle school stage was a risk factor for internet addiction [OR=7.106, 95%CI (3.152, 16.023), P < 0.001]. The above differences were statistically significant. Conclusions The level of internet addiction among primary and middle school students in Minhang District, Shanghai is the highest among male and female students in middle schools, followed by male students in primary schools, and female students in primary schools have the lowest level of internet addiction.

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张艳欣,许银珠,王学敏,陈慧,蒋怡华,朱宏,蒋超.上海市闵行区中小学生网络成瘾现状调查分析[J].神经疾病与精神卫生,2024,24(3):
DOI :10.3969/j. issn.1009-6574.2024.03.006.

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  • 在线发布日期: 2024-04-07