| ObjectiveThis thesis aims to survey modern college students'use of network resources and Internet addiction. On this basis, it discusses the causes of Internet addiction, and related risk factors so as to help the college students build up a healthy Internet use behavior, and keep away from the dangers of Internet addiction.MethodsWe choose 1465 college students as the research object from a university, using stratified sampling method. According to grade stratification, the research object is divided into three layers as freshman, sophomore, and junior. We randomly sample with class for the unit, covering Medicine, Science, Engineering, Arts and so on.This survey includes four scales---the self-designed questionnaire, Internet addiction self rating scale, social support scale, college students'life satisfaction rating scale. The main indexes include the family background, general situation after enrollment, characteristics of network use behavior, Internet addiction judgment, life satisfaction, social support, etc. Launch pre investigation and survey projects and do necessary correction. The examinees are tested in class as a integrate, and they are encouraged to give a authentic answer in one hour. Questionnaire is returned, checked, classified and recorded after they are finished.Use EXCEL2003 to input data, establish the database, and use SPSS13 to analyze data. Do descriptive statistical analysis describing Internet addiction status and the distribution characteristics of Internet Addiction's related factors, choose Logistic regression model for single factor and multi-factor statistical analysis, screening quantitative analysis of relevant factors, quantitative analysis of various factors contact strength and the interactions between multiple factors.Results1. Among all the 1385 respondents, there are 93 people in Internet Addiction, the addiction rates is 6.7%.2. College students' use of network resources situation: college students with Internet connection, accounting for most mobile Internet 29.1%; All of the survey participants have Internet use experience in four years; Most people in the middle or high school first contact network(34.3%,40.5%); College students' average Internet time with 1-3 hours, reaching most 45.7%; Search information material, obtain knowledge is the most commonly used online college students respectively, function or purpose of the total 74.2% and 64.6%.3. College students' total social support is average 40.33±5.64, the lower grade total social support (F = 3.946, P < 0.01), literature professional social total support score higher than other professional (F = 4.132, P < 0.01); The girl social support exploitation degree is better than boys (t = 3.097, P < 0.01), rural students is good then the cities and counties (F = 6.364, P < 0.05).4. Different gender, grade, professional and matriculate college students general life satisfaction, subjective and objective life satisfaction existence difference (P < 0.05), general life satisfaction girls better than boys (t = 2.691, P < 0.01), literature professional higher than other professional (F = 4.439, P < 0.01), urban matriculate students than the other students (F = 6.501 student, P < 0.01).5. Total of addiction and four dimension scores the influence factors of the multivariate linear regression analysis, the influence factors of network-addiction scores have seven: objective satisfaction ( b′= - 0.103, P < 0.01), time control ability ( b′= - 0.178, P < 0.01), class affairs concerned about degrees ( b′= 0.074, P < 0.05), counselors satisfaction ( b′= 0.084, P < 0.01), concern 0.204 transfer ( b′=, P < 0.01) and county town matriculate ( b′= 0.087, P < 0.01), nets age ( b′= 0.069, P < 0.05). Real life in time regression equation damage dimension control ability factors ( b′= 0.194, P < 0.01); Forced symptoms dimension, the networks addiction dimension and the bad mood influence both regression equation is for the dimension of the largest contribution to the attention of transfer factors ( b′= 0.194, b′= 0.145, b′= 0.137, P < 0.01).6. According to the total score will investigate objects into network-addiction group and normal use group addicted, single factor analysis a statistically significant 11 factor into the Logistic regression model, more factors analysis, and the results indicate that there are five factors into the regression equation: family income (OR = 1.543, 95% CI: 1.083 ~ 2.200), work of instructors (OR = 1.816, 95% CI: 1.215 ~ 2.714), concern (OR = 1.879 transfer, 95% CI: 1.304 ~ 2.708), general life satisfaction (OR = 0.084 0.892, 95% CI: 0.953), time control ~ (OR = 0.415 ability, 95% CI: 0.296 ~ 0.582).Conclusion1. Students generally use network, half over four years college nets age of Internet use, mainly concentrated in material search, entertainment and communication such positive functions of college students, the network education and the synthesis quality enhancement can have certain positive role in promoting, it is necessary to further strengthen the network education to help college students' accomplishment better use of the network, promote their healthy growth.2. Existing network addiction, college students' network addiction rates for 6.7%. Different characteristics of social support students have some difference and life satisfaction.3. The factors affecting the university students' addiction include class affairs total care degrees, counselors satisfaction, attention transfer, objective satisfaction, county town of students, the time control ability, nets age, including network accomplishment factors have a major influence.4. Internet addiction independent factors include: families with incomes, counselors satisfaction, attention transfer, general life satisfaction, time control ability. Visible impact factors of university students' network addiction is various, should according to the crowd strategy and high-risk strategy scientific and reasonable intervene, promote to build good Internet use standard, prevention nets slightly addiction occurs. |
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