内蒙古初中生网络成瘾状况及相关因素分析

杨琴; 张秀红; 杨田; 范耀春; 马彩霞

doi:10.16835/j.cnki.1000-9817.2024293

内蒙古初中生网络成瘾状况及相关因素分析

doi: 10.16835/j.cnki.1000-9817.2024293

1.
内蒙古医科大学附属医院消化内科，呼和浩特 010059
2.
内蒙古自治区疾病预防控制中心公共卫生所
3.
内蒙古医科大学公共卫生学院

基金项目:

内蒙古自治区自然科学基金项目 2024QN08077

详细信息

作者简介:
杨琴(1983-)，女，内蒙古呼和浩特人，硕士，副主任医师，主要研究方向为消化系统疾病诊疗与监测、青少年健康促进

通讯作者:
范耀春，E-mail: jsfkkp@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 TN711 B845.6
计量
- 文章访问数: 171
- HTML全文浏览量: 77
- PDF下载量: 34
- 被引次数: 0
出版历程
- 收稿日期: 2024-03-01
- 修回日期: 2024-06-28
- 网络出版日期: 2024-11-02
- 刊出日期: 2024-10-25

Internet addiction and associated factors of junior high school students in Inner Mongolia

1.
Department of Gastroenterology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot (010059), Inner Mongolia Autonomous Region, China

摘要

摘要: 目的探讨内蒙古初中生网络成瘾现况，并对其相关因素进行分析，为防控初中生网络成瘾提供科学依据。方法 2023年9月，在内蒙古全部旗县区采用分层整群随机抽样方法抽取53 755名初中生，按照《全国学生常见病和健康影响因素监测与干预工作方案》内容，使用网络成瘾量表、广泛性焦虑量表等进行问卷调查。采用χ²检验和多元Logistic回归分析探讨中学生网络成瘾的相关因素并绘制列线图。结果内蒙古初中生网络成瘾报告率为2.15%。多因素Logistic回归分析结果显示，高年级(初二：OR=1.54；初三：OR=1.64)、被家长打骂(OR=1.06)、住校(OR=2.28)、遭受校园欺凌(OR=1.91)、有焦虑症状(OR=3.15)、存在物质滥用行为(吸烟：OR=2.56；饮酒：OR=2.29；为了高兴吸可溶性溶剂：OR=2.17；除咳嗽外使用止咳剂：OR=1.50；无医生许可使用镇静剂：OR=1.34)与初中生网络成瘾均呈正相关(P值均 < 0.05)。基于以上影响因素建立列线图，曲线下面积为0.819，校准曲线表明预测值与实测值基本一致。结论内蒙古初中生网络成瘾与生活环境和物质滥用行为有关。应重视初中生生活环境，加强物质滥用的预防教育，以减少网络成瘾的发生。
- 因特网 /
- 行为，成瘾 /
- 环境 /
- 精神卫生 /
- 回归分析 /
- 学生
Abstract: Objective To explore the current situation of Internet addiction among junior high school students in Inner Mongolia and its associated factors, so as to provide a theoretical basis for the prevention and control of Internet addiction among junior high school students. Methods In September 2023, 53 755 junior high school students were selected by stratified cluster random sampling method from all the flag counties in Inner Mongolia, and questionnaires were administered according to the "Monitoring and Intervention Program of Common Diseases and Health Influencing Factors of Students, by using the Internet Addiction Inventory and Generalized Anxiety Disorder Scale-7 Item. The Chi-test and multiple Logistic regression analysis were used to explore related factors and draw nomograms. Results The reported rate of Internet addiction among junior high school students in Inner Mongolia was 2.15%. The results of multivariate Logistic regression analyses showed that students were more likely to be in higher grades (grade eight: OR=1.54; grade nine: OR=1.64), being scolded by their parents (OR=1.06), living in the school (OR=2.28), being bullied in the school (OR=1.91), anxiety symptoms (OR=3.15), and substance abuse (smoking: OR=2.56; drinking alcohol: OR=2.29; inhaling soluble solvents for pleasure: OR=2.17; using cough suppressant except for coughing: OR=1.50; using sedatives without doctor's permission: OR=1.34) were positively correlated with Internet addiction among junior high school students in Inner Mongolia (P < 0.05). The area under the curve was 0.819, and the calibration curve showed that the predicted values were basically consistent with the measured values. Conclusions Internet addiction among junior high school students in Inner Mongolia is related to students' living environment and substance abuse behavior. Attention should be paid to the living environment of junior high school students and strengthen the preventive education of substance abuse in order to reduce the occurrence of Internet addiction among junior high school students.
- Internet /
- Behavior, addictive /
- Environment /
- Mental health /
- Regression analysis /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

HTML全文

图 1 内蒙古初中生网络成瘾风险列线图预测模型

Figure 1. Nomogram prediction model of Internet addiction risk among junior high school students in Inner Mongolia

下载: 全尺寸图片幻灯片

图 2 内蒙古初中生网络成瘾风险因素的标准曲线

Figure 2. Standard curve of Internet addiction risk factors among junior high school students in Inner Mongolia

下载: 全尺寸图片幻灯片

表 1 内蒙古不同组别初中生网络成瘾报告率比较

Table 1. Comparison of reported rates of Internet addiction among Inner Mongolian junior high school students in different groups

组别	选项	人数	网络成瘾	χ²值	P值
性别	男	27 046	615(2.27)	3.94	0.05
	女	26 709	541(2.03)
地区	城区	12 954	218(1.68)	17.34	< 0.01
	旗县	40 801	938(2.30)
年级	初一	18 005	245(1.36)	84.6	< 0.01
	初二	17 919	428(2.39)
	初三	17 831	483(2.71)
母亲学历	初中及以下	33 918	806(2.38)	23.87	< 0.01
	高中或大专	14 661	270(1.84)
	大学及以上	5 176	80(1.55)
父亲学历	初中及以下	33 358	804(2.41)	28.44	< 0.01
	高中或大专	15 560	273(1.75)
	大学及以上	4 837	79(1.63)
超重肥胖	否	34 036	751(2.21)	1.38	0.24
	是	19 719	405(2.05)
是否独生子女	是	21 026	436(2.07)	0.97	0.33
	否	32 729	720(2.20)
被家长打骂	否	43 789	647(1.48)	508.32	< 0.01
	是	9 966	509(5.11)
住校	否	37 685	568(1.51)	247.89	< 0.01
	是	16 070	588(3.66)
校园欺凌	否	51 696	958(1.85)	567.12	< 0.01
	是	2 059	198(9.62)
焦虑症状	否	50 763	825(1.63)	1 195.97	< 0.01
	是	2 992	331(11.06)
是否吸烟	否	50 147	765(1.53)	1 386.87	< 0.01
	是	3 608	391(10.84)
是否饮酒	否	46 109	613(1.33)	1 038.49	< 0.01
	是	7 646	543(7.10)
为了高兴吸可溶性溶剂	否	52 970	1 072(2.02)	276.76	< 0.01
	是	785	84(10.70)
除咳嗽外使用止咳剂	否	49 151	907(1.85)	253.97	< 0.01
	是	4 604	249(5.41)
无医生许可使用镇静剂	否	52 930	1 058(2.00)	376.83	< 0.01
	是	825	98(11.88)
注： ()内数字为报告率/%。

下载: 导出CSV

表 2 内蒙古初中生网络成瘾相关因素的多因素Logistic回归分析(n=53 755)

Table 2. Multiple Logistic regression analysis on Internet addiction and related factors of junior high school students in Inner Mongolia(n=53 755)

自变量	选项	β值	标准误	Wald χ²值	OR值(95%CI)	P值
年级	初一				1.00
	初二	0.43	0.08	26.15	1.54(1.30~1.81)	< 0.01
	初三	0.49	0.08	35.21	1.64(1.39~1.93)	< 0.01
被家长打骂	否				1.00
	是	0.72	0.07	114.44	2.06(1.81~2.36)	< 0.01
住校	否				1.00
	是	0.83	0.06	172.71	2.28(2.02~2.58)	< 0.01
校园欺凌	否				1.00
	是	0.65	0.10	46.92	1.91(1.59~2.30)	< 0.01
是否吸烟	否				1.00
	是	0.94	0.08	139.45	2.56(2.19~2.99)	< 0.01
是否饮酒	否				1.00
	是	0.83	0.07	125.84	2.29(1.98~2.65)	< 0.01
焦虑症状	否				1.00
	是	1.15	0.08	210.86	3.15(2.69~3.67)	< 0.01
为了高兴吸可溶性溶剂	否				1.00
	是	0.78	0.15	28.66	2.17(1.63~2.88)	< 0.01
除咳嗽外使用止咳剂	否				1.00
	是	0.40	0.08	23.19	1.50(1.27~1.76)	< 0.01
无医生许可使用镇静剂	否				1.00
	是	0.29	0.14	4.39	1.34(1.02~1.75)	< 0.01

下载: 导出CSV

参考文献(22)

[1]	公娜, 黄巧敏, 张孟思, 等. 深圳市初中生网络成瘾3年追踪研究[J]. 中国学校卫生, 2021, 42(12): 1833-1837. doi: 10.16835/j.cnki.1000-9817.2021.12.018 GONG N, HUANG Q M, ZHANG M S, et al. A 3-year follow-up study of Internet addiction among middle school students in Shenzhen[J]. Chin J Sch Health, 2021, 42(12): 1833-1837. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2021.12.018
[2]	李政葳. 我国网民规模超10亿[N]. 光明日报, 2021-08-28(3). LI Z W. China's Internet users exceed 1 billion[N]. Guangming Daily, 2021-08-28(3). (in Chinese)
[3]	郝琪, 程子尧, 李日东, 等. 大学生网络成瘾的相关影响因素研究进展[J]. 职业与健康, 2019, 35(20): 2858-2862. HAO Q, CHENG Z Y, LI R D, et al. Research progress on influencing factors related to Internet addiction among college students[J]. Occup Health, 2019, 35(20): 2858-2862. (in Chinese)
[4]	DERBYSHIRE L K, LUST A K, SCHREIBER R L, et al. Problematic Internet use and associated risks in a college sample[J]. Compr Psychiatry, 2013, 54(5): 415-422. doi: 10.1016/j.comppsych.2012.11.003
[5]	王田丽, 魏鸿园, 卢晓艳, 等. 高职大学生网络成瘾社交焦虑社会支持与抑郁的关系[J]. 中国学校卫生, 2020, 41(11): 1610-1613. doi: 10.16835/j.cnki.1000-9817.2020.11.003 WANG T L, WEI H Y, LU X Y, et al. Relationship between social support and depression of Internet addiction social anxiety among senior college students[J]. Chin J Sch Health, 2020, 41(11): 1610-1613. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2020.11.003
[6]	中华人民共和国国家卫生健康委员会办公厅. 关于印发2021年全国学生常见病和健康影响因素监测与干预工作方案的通知(国卫办疾控函[2021]142号)[A]. 2021-03-23. General Office of the National Health Commission of the PRC. Circular on the issuance of the 2021 national work program for monitoring and intervention of common diseases and health influencing factors among students (National Health Office of the PRC Disease Control Letter[2021] No. 142)[A]. 2021-03-23. (in Chinese)
[7]	YOUNG K S. Internet addiction: the emergence of a new clinical disorder[J]. Cyber Psychol Behav, 1998, 1(3): 237-244. doi: 10.1089/cpb.1998.1.237
[8]	中华人民共和国国家卫生健康委员会办公厅. 关于印发2019年全国学生常见病和健康影响因素监测与干预工作方案的通知[EB/OL]. (2019-03-26)[2020-10-10]. http://www.nhc.gov.cn/jkj/s5898bm/201903/1bcbac21e1864377ad24984fac014c7d.shtml. General Office of the National Health Commission of the PRC. Circular on the issuance of the 2019 national work program for monitoring and intervention of common diseases and health influencing factors among students[EB/OL]. (2019-03-26)[2020-10-10]. http://www.nhc.gov.cn/jkj/s5898bm/201903/1bcbac21e1864377ad24984fac014c7d.shtml. (in Chinese)
[9]	SUN J, LIANG K, CHI X, et al. Psychometric properties of the Generalized Anxiety Disorder Scale-7 Item (GAD-7) in a large sample of Chinese adolescents[J]. Healthcare (Basel), 2021, 9(12): 1709.
[10]	中华人民共和国国家卫生和计划生育委员会. 学龄儿童青少年超重与肥胖筛查: WS/T 586—2018[S]. 2018-08-01. National Health and Family Planning Commission of PRC. Screening for overweight and obesity among school-age children and adolescents: WS/T 586-2018[S]. 2018-08-01. (in Chinese)
[11]	高青, 刘懿卿, 叶茜雯, 等. 辽宁省中学生网瘾情况及其影响因素分析[J]. 现代预防医学, 2020, 47(18): 3378-3381. GAO Q, LIU Y Q, YE X W, et al. Analysis of Internet addiction and its influencing factors among secondary school students in Liaoning Province[J]. Mod Prev Med, 2020, 47(18): 3378-3381. (in Chinese)
[12]	杨婕, 黄建萍, 张凤云, 等. 2017年江苏省学生网络使用及成瘾流行现状[J]. 江苏预防医学, 2018, 29(6): 721-723. YANG J, HUANG J P, ZHANG F Y, et al. Current status of Internet use and addiction prevalence among students in Jiangsu Province in 2017[J]. Jiangsu J Prev Med, 2018, 29(6): 721-723. (in Chinese)
[13]	严琼, 杨妍婷, 祁月, 等. 上海市2004—2019年青少年网络成瘾变化趋势[J]. 中国学校卫生, 2022, 43(8): 1193-1197. doi: 10.16835/j.cnki.1000-9817.2022.08.017 YAN Q, YANG Y T, QI Y, et al. Changing trends of Internet addiction among adolescents in Shanghai, 2004-2019[J]. Chin J Sch Health, 2022, 43(8): 1193-1197. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2022.08.017
[14]	张伟波, 梁霁, 钱序, 等. 上海市初中生网络成瘾流行现状与网络行为特征相关性研究[J]. 中国预防医学杂志, 2017, 18(6): 452-457. ZHANG W B, LIANG J, QIAN X, et al. Study on the correlation between the prevalence status of Internet addiction and Internet behavioral characteristics of middle school students in Shanghai[J]. Chin J Prev Med, 2017, 18(6): 452-457. (in Chinese)
[15]	刘彦丽, 何思源, 薛莉莉, 等. 上海市青少年网络成瘾与家庭功能、生活事件的关系[J]. 现代预防医学, 2021, 48(13): 2383-2387. LIU Y L, HE S Y, XUE L L, et al. Relationship between Internet addiction and family functioning and life events among adolescents in Shanghai[J]. Mod Prev Med, 2021, 48(13): 2383-2387. (in Chinese)
[16]	操小兰, 文丝莹, 柯晓殷, 等. 深圳市中学生网络成瘾检出率及其与抑郁情绪的相关性[J]. 中国药物依赖性杂志, 2019, 28(6): 464-467. CAO X L, WEN S Y, KE X Y, et al. Detection rate of Internet addiction and its correlation with depressed mood among secondary school students in Shenzhen[J]. Chin J Drug Depend, 2019, 28(6): 464-467. (in Chinese)
[17]	张秩铭, 房岩, 徐泽华, 等. 河北省高校大学生网络成瘾及相关因素分析[J]. 中国学校卫生, 2022, 43(7): 1033-1036. doi: 10.16835/j.cnki.1000-9817.2022.07.018 ZHANG Z M, FANG Y, XU Z H, et al. Analysis of Internet addiction and related factors among college students in Hebei Province[J]. Chin J Sch Health, 2022, 43(7): 1033-1036. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2022.07.018
[18]	季文平, 高荣, 张志华, 等. 安徽省临床医学生网络成瘾现状及其影响因素[J]. 中国学校卫生, 2019, 40(8): 1230-1232. doi: 10.16835/j.cnki.1000-9817.2019.08.030 JI W P, GAO R, ZHANG Z H, et al. Current status of Internet addiction and its influencing factors among clinical medical students in Anhui Province[J]. Chin J Sch Health, 2019, 40(8): 1230-1232. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2019.08.030
[19]	崔禹, 杨永涛, 钱恒, 等. 大学生网络成瘾特点及相关因素分析[J]. 医学研究与教育, 2020, 37(5): 55-61. CUI Y, YANG Y T, QIAN H, et al. Analysis of characteristics and related factors of Internet addiction among college students[J]. Med Res Educ, 2020, 37(5): 55-61. (in Chinese)
[20]	扈月阳, 梅松丽, 高婷婷. 吉林省初中生网络成瘾与抑郁症状的关系[J]. 中国学校卫生, 2020, 41(11): 1617-1620. doi: 10.16835/j.cnki.1000-9817.2020.11.005 HU Y Y, MEI S L, GAO T T. Relationship between Internet addiction and depressive symptoms among middle school students in Jilin Province[J]. Chin J Sch Health, 2020, 41(11): 1617-1620. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2020.11.005
[21]	孙力菁, 罗春燕, 周月芳, 等. 上海市中学生抑郁症状和网络成瘾行为的相关性[J]. 中国学校卫生, 2019, 40(3): 445-447. SUN L J, LUO C Y, ZHOU Y F, et al. Correlation between depressive symptoms and Internet addictive behaviors among secondary school students in Shanghai[J]. Chin J Sch Health, 2019, 40(3): 445-447. (in Chinese)
[22]	李永占. 河南高中生社交焦虑情绪智力与网络成瘾的关联[J]. 中国学校卫生, 2015, 36(11): 1732-1733, 1736. LI Y Z. Association among social anxiety emotional, intelligence and Internet addiction among high school students in Henan[J]. Chin J Sch Health, 2015, 36(11): 1732-1733, 1736. (in Chinese)