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广州市学生网络成瘾与睡眠不足现状及关系
引用本文:孙艺,林蓉,熊莉华,陈思宇,郭重山,林琳,刘伟佳.广州市学生网络成瘾与睡眠不足现状及关系[J].华南预防医学,2020,46(2):120-124.
作者姓名:孙艺  林蓉  熊莉华  陈思宇  郭重山  林琳  刘伟佳
作者单位:广州市疾病预防控制中心,广东 广州 510440
基金项目:广州市科技创新发展专项资金项目(805150434078)
摘    要:目的 了解广州市学生网络成瘾及睡眠不足现状及其关系,为学生网络成瘾和睡眠不足防控政策的制定提供理论依据。方法 采取分层整群随机抽样法,使用《学生健康状况及影响因素调查表》对广州市11个区的大、中、小学生进行网络成瘾及睡眠时间调查,采用单、多因素分析方法对睡眠不足与网络成瘾相关性进行分析。结果 本研究共对广州市大、中、小学生19 716人进行分析,男生9 811人,女生9 905人;城区17 400人,郊区2 316人;小学5 215人,初中5 476人,高中5 188人,职高2 068人,大学1 769人。93.4%的学生过去1周上过网,16.2%的学生过去1周每天上网≥4 h。网络成瘾报告率为4.0%,女生(4.7%)高于男生(3.4%),郊区(4.5%)高于城区(2.3%),小学、初中、高中、职高和大学生分别为0.7%、3.7%、3.4%、6.0%和14.5%,郊区小学、初中、高中生网络成瘾报告率均高于城区同学段学生,郊区初中女生(7.7%)最高,差异均有统计学意义(P <0.05或P <0.01)。睡眠不足发生率为71.2%,控制性别、学段、地区等因素后,二分类logistic回归分析结果显示网络成瘾行为者发生睡眠不足的风险是非网络成瘾行为者的1.579倍。结论 广州市学生网络成瘾报告率与睡眠不足发生率均较高,郊区学生、职高生和大学生网络成瘾行为现象尤为严重,中、小学生睡眠不足问题突出,网络成瘾可增加睡眠不足的风险。应针对重点人群,制定科学可行的干预策略及措施。

关 键 词:网络成瘾  睡眠不足  学生  问卷调查  
收稿时间:2019-11-06

Status of and relationship between internet addiction and sleep deficiency among students in Guangzhou
SUN Yi,LIN Rong,XIONG Li-hua,CHEN Si-yu,GUO Chong-shan,LIN Lin,LIU Wei-jia.Status of and relationship between internet addiction and sleep deficiency among students in Guangzhou[J].South China JOurnal of Preventive Medicine,2020,46(2):120-124.
Authors:SUN Yi  LIN Rong  XIONG Li-hua  CHEN Si-yu  GUO Chong-shan  LIN Lin  LIU Wei-jia
Institution:Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
Abstract:Objective To investigate the current situation of internet addiction and sleep deficiency and their relationship among students in Guangzhou, so as to provide theoretical basis for the establishment of prevention and control policies. Methods Using stratified cluster random sampling method and the “Student Health Status and Influencing Factors Questionnaire” , internet addiction and length of sleep were surveyed among students of primary, junior high, and senior high schools, and universities in 11 districts of Guangzhou City. Univariate and multivariate logistic regressions were applied to explore the relationship between sleep deficiency and internet addiction. Results A total of 19 716 students were selected from primary, junior high, and senior high schools, and universities in Guangzhou. Of the students, 9 811 were boys and 9 905 girls, 17 400 in urban areas and 2 316 in suburbs; 5 215 in primary schools, 5 476 in junior high schools, 5 188 in senior high schools, 2 068 in vocational high schools, and 1 769 in universities; 93.4% surfed the internet in the past week, and 16.2% surfed the internet for 4 hours or more every day in the past week. The report rate of internet addiction was 4.0%; the rate in girls (4.7%) was higher than boys (3.4%), suburbs (4.5%) was higher than urban areas (2.3%); the rates in primary school, junior high school, senior high school, vocational high school, and university students were 0.7%, 3.7 %, 3.4%, 6.0%, and 14.5%, respectively. The rate of internet addiction reported by suburban elementary, junior and senior high school students was higher than that of urban students, and junior high school girls (7.7%) were the highest in the suburbs (P <0.05 or P <0.01). The incidence of sleep deficiency was 71.2%. After controlling for factors such as gender, school period, and region, the binary classification logistic regression analysis showed that the risk of lack of sleep in internet addictive behavior was 1.579 times that of non-internet addictive behavior. Conclusion The prevalence rates of internet addiction and insufficient sleep were high in students in Guangzhou, with a trend of younger age. The phenomenon of internet addiction was particularly serious among students in suburb, vocational high schools, and universities. The problem of sleep deficiency was more obvious in middle and primary school students. Internet addiction can increase the risk of insufficient sleep.
Keywords:Internet addiction  Insufficient sleep  Student  Questionnaire survey  
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