安徽省职校生网络成瘾现状及其影响因素分析

发布时间：2018-02-03 06:20

本文关键词： 职校生网络成瘾检出率影响因素社会支持　出处：《安徽医科大学》2017年硕士论文　论文类型：学位论文

【摘要】：目的青少年人群中包含着一类特殊人群-职校生(职业学校学生),本研究旨在了解安徽省职校生网络成瘾和社会支持的现况,分析影响职校生网络成瘾的相关因素,探讨职校生网络成瘾与社会支持的关系,为有针对性地在该人群开展网络成瘾干预工作提供科学依据。方法选取安徽省五个城市(滁州、阜阳、巢湖、铜陵和安庆)的职业技术学校作为研究现场,在每一所学校整群抽取研究对象,在班主任的配合下,由参加过正式培训的调查员入班级说明调查目的后,进行问卷调查。包括一般人口学特征、网络使用情况、网络成瘾量表、青少年社会支持量表、Liebowitz社交焦虑量表、抑郁自评量表、匹兹堡睡眠质量指数量表等。数据库的建立运用EpiData3.1软件,数据的统计分析运用SPSS16.0软件。结果10158份有效调查问卷最终被收回。网络成瘾的检出率为10.4%(1059/10158),其中,中度网络成瘾率为10.2%(1038/10158),重度网络成瘾率为0.2%(21/10158)。调查对象中男性4716人(46.4%),女性5442人(53.6%);平均年龄为(18.50±1.38)岁;生源地分布,6284人(61.9%)来自农村,2731人(26.9%)来自城镇,1143人(11.3%)来自城市;2487人(24.5%)是独生子女,7671人(75.5%)非独生子女。调查对象中,社会支持总量表及主观支持、客观支持、支持利用度三个分量表的平均得分,网络成瘾组(54.59±13.68,15.29±4.61,20.81±5.41,19.73±5.45)得分均低于非网络成瘾组(59.65±13.32,17.34±4.45,22.43±5.16,19.87±5.42)得分,组间比较差异均有统计学意义(P0.001)。二分类logistic回归分析网络成瘾影响因素的结果显示:男性、家庭人均年收入高、父子关系一般、网络游戏、游戏时间比(游戏时间/上网时间)高、受到网络欺凌、饮酒、有自杀意念、有社交焦虑、抑郁、有睡眠障碍可能是职校生网络成瘾危险因素;父母管束一般、学习时间比(学习时间/上网时间)高、主观支持高可能是保护因素。年龄、是否独生子女、家庭居住地、修读专业、家庭结构类型、父母文化程度、学习成绩、母子关系、体育锻炼、上网途径、吸烟等变量与职校生网络成瘾间均没有发现存在统计学意义上的关联。社会支持与网络成瘾相关性分析显示,总社会支持及三个维度与网络成瘾均存在负相关,其中,主观支持与网络成瘾相关性最强。结论安徽省职校生的网络成瘾率较高,并与个人、家庭、环境等多因素相关,在本研究中观察到了一系列的与职校生网络成瘾相关的因素。因此,应根据以上分析结果采取积极有效的干预措施,以期达到降低青少年网络成瘾率的目的。
[Abstract]:Objective to investigate the status of internet addiction and social support of vocational school students in Anhui province. This paper analyzes the related factors of internet addiction among vocational school students, and probes into the relationship between internet addiction and social support of vocational school students. Methods five cities in Anhui Province (Chuzhou Fuyang Chaohu Tongling and Anqing) were selected as the research site. In each school cluster extraction of research objects, in the cooperation of the head teacher, from the formal training of investigators into the class to explain the purpose of the investigation, a questionnaire survey, including general demographic characteristics. Internet usage, Internet Addiction scale, Adolescent Social support scale Liebowitz Social anxiety scale, Self-rating Depression scale. Pittsburgh Sleep quality Index scale and so on. The establishment of the database using EpiData3.1 software. Results 10158 valid questionnaires were finally withdrawn. The detection rate of Internet addiction was 10.4% 1059 / 10158%. The moderate Internet addiction rate was 10.2% 1038 / 10158%, and the severe Internet addiction rate was 0.2% (21% 10158%). 542 women 53.6%; The average age was 18.50 卤1.38 years old. There are 6284 people (61.9%) from rural areas, 2731 people (26.9%) from cities and towns (1143 people) from cities (1143 people) from cities; In the survey, the total amount of social support and subjective support, objective support. The average scores of the three subscales of support availability were 54.59 卤13.68 卤15.29 卤4.61 卤20.81 卤5.41 in iad group. The score of 19.73 卤5.45) was lower than that of non-iad group (59.65 卤13.32 卤17.34 卤4.45 卤22.43 卤5.16). The scores of 19.87 卤5.42) and the differences between the two groups were statistically significant (P 0.001). The results of two-classification logistic regression analysis showed that the influencing factors of Internet addiction were male. Family income per capita is high, father-son relationship is average, online games, games time than (play time / online time) higher, network bullying, alcohol, suicidal ideation, social anxiety, depression. Sleep disorder may be the risk factor of internet addiction among vocational school students. Parents are in general, study time is higher than (study time / online time), subjective support may be the protection factors. Age, whether the only child, family residence, major, family structure type. Parents' education, academic achievement, mother-child relationship, physical exercise, Internet access. There was no statistically significant correlation between smoking and internet addiction among vocational school students. The correlation analysis of social support and Internet addiction showed that total social support and three dimensions were negatively correlated with Internet addiction. Among them, subjective support has the strongest correlation with Internet addiction. Conclusion the rate of Internet addiction of vocational school students in Anhui Province is higher, and it is related to many factors, such as individual, family, environment and so on. In this study, we observed a series of factors related to iad of vocational school students. Therefore, we should take active and effective intervention measures according to the above analysis results, in order to achieve the goal of reducing the rate of internet addiction among adolescents.
【学位授予单位】：安徽医科大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G715.5;R749.4

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