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作 者:王谋远 袁瀚寰 李江[3] 顾春华[1,3] 余登来 张莉[1,3] 杜尉英[1,3] 沈少英 胡丹丹 丁娇儿[3] 王静 WANG Mou-yuan;YUAN Han-huan;LI Jiang;GU Chun-hua;YU Deng-lai;ZHANG Li;DU Wei-ying;SHENG Shao-ying;HU Dan-dan;DING Jiao-er;WANG Jing(Department of Health Education,Pudong New Area Center for Disease Control and Prerention,Shanghai,200136,China;Department of Infectious Disease Prevention and Control and Disinfection Management,Pudong New Area Center for Disease Control and Prerention,Shanghai,200136,China;Pudong Institute of prevention,Fudan University,Shanghai,200136,China)
机构地区:[1]上海市浦东新区疾病预防控制中心健康教育科,上海200136 [2]上海市浦东新区疾病预防控制中心传染病防治与消毒管理科,上海200136 [3]复旦大学浦东预防研究院,上海200136
出 处:《职业与健康》2020年第3期392-395,399,共5页Occupation and Health
基 金:上海市浦东新区青年科技项目(PW2016B-2)。
摘 要:目的了解上海市浦东新区大中专院校学生手机网络成瘾的现况并探讨其影响因素,为今后的大中专院校学生手机网络成瘾行为健康干预提供依据及策略。方法采用分层抽样方法,于2016年11月-2017年10月分别从上海市浦东新区大专、中专、大学3种类型的学校中各随机抽取2所学校,再从每所学校随机抽取2~3个专业或院系的500名学生,通过手机网络成瘾量表、大五人格量表和生活事件量表对其进行问卷调查。结果共发放问卷3000份,回收2776份,其中有效问卷2748份,有效回收率98.99%。18.75%的学生存在手机网络成瘾症状,56.91%的学生存在手机网络成瘾倾向。男生的成瘾比例比女生高4.35%(P<0.05)。不同成瘾倾向组学生的神经质、外向型、顺同型和严谨型人格特质得分及生活事件各因子得分差异均有统计学意义(均P<0.05)。学校、性别、神经质、外向型、顺同型和其他因子对手机网络成瘾具有一定的预测作用。神经质是学生手机网络成瘾的危险因素[OR(95%CI)=1.944(1.101~3.431)]。结论手机网络成瘾的现象较为普遍,应当充分关注并根据手机网络成瘾的影响因素,采取有针对性的预防和干预措施。Objective To understand the current situation and influencing factors of students’ mobile internet addiction between colleges and universities in Pudong New Area of Shanghai, provide evidence and strategies for students’ mobile internet addiction behavioral health interventions. Methods By a stratified cluster sampling approach, two schools were randomly selected from three types of universities(junior college, technical secondary school, and university) in Pudong New Area of Shanghai, and 500 students were randomly selected from 2-3 majors or departments in each school. A questionnaire survey was conducted by the mobile internet addiction scale, Big Five personality scale and life events scale. Results A total of 3 000 questionnaires were distributed and 2 776 were recovered, 2 748 questionnaires were valid and the effective rate was 98.99%. 18.74% of the students had mobile internet addiction symptoms, and 56.91% had mobile internet addiction tendencies. Boys had a 5.36% higher rate of addiction than girls(P<0.05). The differences in scores of neuroticism, extroversion, congruence and preciseness personality traits, and the scores of life events were statistically significant among different addiction tendency groups(all P<0.05). School, gende r,neuroticism, extroversion, homogeneity and other factors had certain predictive effects on mobile internet addiction. Neuroticism was a risk factor of mobile internet addiction among students[OR(95%CI)=1.944(1.101-3.431)]. Conclusion The phenomenon of mobile internet addiction is very common. It is necessary to pay full attention to mobile internet addiction of students, and take targeted prevention and intervention measures according to the influencing factors of mobile internet addiction.
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