关键词: 网络成瘾, 睡眠不足, 学生, 问卷调查

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.

Key words: Internet addiction, Insufficient sleep, Student, Questionnaire survey