中国儿童保健杂志 ›› 2023, Vol. 31 ›› Issue (6): 612-616.DOI: 10.11852/zgetbjzz2022-1464

• 科研论著 • 上一篇    下一篇

贫困地区青少年网络成瘾现状调查及相关因素分析

胡婷婷1, 朱晓瑞2, 张庆娥1, 陈旭1, 周娇娇1, 董思鑫2, 冀杨2   

  1. 1.首都医科大学附属北京安定医院,北京 100088;
    2.北京市医院管理中心
  • 收稿日期:2022-12-28 修回日期:2023-02-07 发布日期:2023-06-02 出版日期:2023-06-10
  • 通讯作者: 朱晓瑞,E-mail:15311478392@163.com
  • 作者简介:胡婷婷(1991-),女,硕士研究生,卫管助理研究员,主要研究方向为卫生事业管理。
  • 基金资助:
    首发基金自主创新基金(2020-2-2122);北京市医管局培育计划 (PG20221901)

Status quo and related factors of Internet addiction among adolescents in poor areas

HU Tingting1, ZHU Xiaorui2, ZHANG Qing'e1, CHEN Xu1, ZHOU Jiaojiao1, DONG Sixin2, JI Yang2   

  1. 1. Beijing Anding Hospital, Capital Medical University, Beijing 100088, China;
    2. Beijing Hospital Authority
  • Received:2022-12-28 Revised:2023-02-07 Online:2023-06-10 Published:2023-06-02
  • Contact: ZHU Xiao-rui, E-mail:15311478392@163.com

摘要: 目的 探讨贫困地区青少年网络成瘾(简称网瘾)现状及影响因素,为制定针对该特定人群网瘾的干预策略提供流行病学依据。方法 2022年4月20日—5月10日,采用横断面调查方式对毕节市威宁县9~18岁青少年在校学生进行一般人口学资料及网络成瘾相关调查,应用流调中心抑郁量表(CES-D)、广泛性焦虑量表(GAD-7)评估抑郁、焦虑,分析相关影响因素。结果 共有23 180名中小学生完成调查,2 394(10.3%)名青少年有网瘾,男性(OR=1.243,95%CI:1.139~1.355)、中学(OR=1.911,95%CI:1.731~2.110)、留守(OR=1.380,95%CI:1.249~1.525)、就读重点学校(OR=1.375,95%CI:1.225~1.544)及就读重点班(OR=1.184,95%CI:1.048~1.338)是青少年在读学生出现网瘾的独立危险因素,而学习成绩良好(OR=0.635,95%CI:0.564~0.715)及良好的社会关系(家庭关系OR=0.620、同学关系OR=0.701)是青少年在读学生出现网瘾的独立保护因素(P<0.05)。共有8 261(35.6%)名青少年合并抑郁症状,1 988(8.6%)名青少年合并焦虑症状,网瘾青少年更易出现抑郁症状(OR=14.891, 95%CI:13.203~16.796, P<0.001)及焦虑症状(OR=15.412, 95%CI:13.895~17.095, P<0.001)。结论 网瘾在贫困地区青少年中较普遍,并且网瘾的出现与青少年的年龄、性别、年级、学校班级类型、是否留守、学习成绩及社会关系状态显著相关,迫切需要对存在网瘾问题的青少年进行及时筛查和适当干预。

关键词: 网瘾, 抑郁症状, 焦虑症状, 贫困地区, 青少年

Abstract: Objective To analyze the current situation and influencing factors of internet addiction in adolescents in poor areas, in order to provide reference for intervention of Internet addiction. Methods A cross-sectional survey was conducted to investigate the general demographic data and Internet addiction among school students aged 9 - 18 from 20th April to 10th May 2022. Depression and anxiety of the students were assessed by the Central Depression Scale (CES-D) and the Generalized Anxiety Scale (GAD-7), and the related influencing factors were analyzed. Results A total of 23 180 primary and secondary school students completed the survey, and 2 394 (10.3%) had internet addiction. The risk factors of Internet addition included male (OR=1.243, 95%CI:1.139 - 1.355), secondary school students (OR=1.911, 95%CI:1.731 - 2.110), left-behind students (OR=1.380, 95%CI:1.249 - 1.525), attending in priority school (OR=1.375, 95%CI:1.225 - 1.544) and priority class (OR=1.184, 95%CI:1.048 - 1.338), while good academic performance(OR=0.635, 95%CI:0.564 - 0.715) and good social relationships (family OR=0.620, classmates OR=0.701) were independent protective factors for Internet addiction among adolescent school students(P<0.05). A total of 8 261 (35.6%) adolescents were comorbid with depressive symptoms, and 1 988 (8.6%) adolescents were complicated with anxiety symptoms. Adolescents with Internet addiction were more prone to develop depressive symptoms (OR=14.891, 95%CI:13.203 - 16.796, P<0.001) and anxiety symptoms (OR=15.412, 95%CI:13.895 - 17.095, P<0.001). Conclusions Internet addiction is prevalent among adolescents in poor areas, and is significantly related to adolescents' age, gender, grade, school and class type, left-behind status, academic achievement and social relationship. It is urgent to timely screen and intervene adolescents with internet addiction problems.

Key words: Internet addiction, depressive symptoms, anxiety symptoms, poor areas, adolescent

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