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中职学生手机依赖现状及影响因素分析
引用本文:左晓利, 黄红莹, 孟祥毅. 安阳市大专院校学生手机依赖综合征及影响因素[J]. 中国公共卫生, 2019, 35(10): 1428-1432. DOI: 10.11847/zgggws1122904
作者姓名:左晓利  黄红莹  孟祥毅
作者单位:1.安阳职业技术学院基础医学部,河南 安阳 455000;2.河南大学基础医学院微生物教研室
摘    要:  目的  调查河南省安阳市大专院校学生手机依赖综合征情况,并分析其影响因素,为制定合理有效手机管理计划提供准确依据。  方法  于2017年12月,采用整群抽样法选取安阳市大专院校学生3 217人,分析不同特征下手机依赖综合征检出率,并应用多因素logistic回归对症状发生影响因素进行分析。  结果  大专院校学生每月话费主要集中在30~90元者占57.07 %,日均使用手机时间1~4 h占比最高,为46.16 %,手机使用最多功能中在线聊天占比最高(94.90 %),玩游戏占比最低(44.67 %);3 217人中检出有手机依赖综合征839人(26.08 %);不同性别、专业类型、生源地、是否恋爱、学习成绩排名、是否有负性情绪、每周运动情况、寝室相处情况、月均消费学生比较,手机依赖情况差异具有统计学意义(P < 0.05);经多因素logistic回归分析显示,专业类型、学习成绩排名、是否有负性情绪、月均消费是影响手机依赖综合征发生的危险因素(P < 0.05)。  结论  安阳市大专院校学生多存在手机依赖综合征,学校应加强合理使用手机宣传教育,提高学生自我管理能力,制定相关政策,营造良好手机使用氛围。

关 键 词:大专院校  手机依赖综合征  影响因素  预防措施
收稿时间:2019-01-28

Validation of a Spanish Questionnaire on Mobile Phone Abuse
Xiao-li ZUO, Hong-ying HUANG, Xiang-yi MENG. Prevalence and influencing factors of mobile phone dependence syndrome among college students in Anyang city[J]. Chinese Journal of Public Health, 2019, 35(10): 1428-1432. DOI: 10.11847/zgggws1122904
Authors:Xiao-li ZUO  Hong-ying HUANG  Xiang-yi MENG
Affiliation:1.Department of Basic Medicine, Anyang Vocational and Technical College, Anyang, Henan Province 455000, China
Abstract:  Objective  To investigate the prevalence and influencing factors of mobile phone dependence syndrome (MPDS) among college students and to provide evidences for developing effective intervention measures.  Methods  We conducted a questionnaire survey among 3 217 students selected using cluster sampling in three colleges in Anyang city of Henan province during December 2017. The prevalence of MPDS in various student groups was described and factors related to MPDS were analyzed with multivariate logistic regression.  Results  Of the students, 57.07% reported a monthly telephone charge of 30 – 90 RMB and 46.16% reported a mobile phone use time of 1 – 4 hours per day. The most (94.90%) of the students reported the application of mobile phone for online chat and the least (44.67%) reported the application for playing games. Totally 839 (26.08%) students were identified with MPDS and the detection rate of MPDS differed significantly by gender, majoring type, living region before entering a college, love affair, academic achievement, negative emotion, times of sport per week, relation with roommates, and average monthly living expenses (P < 0.05 for all). Multivariate logistic regression analysis revealed that majoring, academic achievement, negative emotion, and average monthly living expenses were significant impact factors for the occurrence of MPDS (all P < 0.05).  Conclusion  Mobile phone dependence syndrome is prevalent among college students in Anyang city and related interventions on the problem should be promoted.
Keywords:colleges and universities  mobile phone dependence syndrome  influencing factor  preventive measure
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