本文關(guān)鍵詞： 職校生 網(wǎng)絡(luò)成癮 檢出率 影響因素 社會支持　出處：《安徽醫(yī)科大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：目的青少年人群中包含著一類特殊人群-職校生(職業(yè)學(xué)校學(xué)生),本研究旨在了解安徽省職校生網(wǎng)絡(luò)成癮和社會支持的現(xiàn)況,分析影響職校生網(wǎng)絡(luò)成癮的相關(guān)因素,探討職校生網(wǎng)絡(luò)成癮與社會支持的關(guān)系,為有針對性地在該人群開展網(wǎng)絡(luò)成癮干預(yù)工作提供科學(xué)依據(jù)。方法選取安徽省五個城市(滁州、阜陽、巢湖、銅陵和安慶)的職業(yè)技術(shù)學(xué)校作為研究現(xiàn)場,在每一所學(xué)校整群抽取研究對象,在班主任的配合下,由參加過正式培訓(xùn)的調(diào)查員入班級說明調(diào)查目的后,進(jìn)行問卷調(diào)查。包括一般人口學(xué)特征、網(wǎng)絡(luò)使用情況、網(wǎng)絡(luò)成癮量表、青少年社會支持量表、Liebowitz社交焦慮量表、抑郁自評量表、匹茲堡睡眠質(zhì)量指數(shù)量表等。數(shù)據(jù)庫的建立運(yùn)用EpiData3.1軟件,數(shù)據(jù)的統(tǒng)計分析運(yùn)用SPSS16.0軟件。結(jié)果10158份有效調(diào)查問卷最終被收回。網(wǎng)絡(luò)成癮的檢出率為10.4%(1059/10158),其中,中度網(wǎng)絡(luò)成癮率為10.2%(1038/10158),重度網(wǎng)絡(luò)成癮率為0.2%(21/10158)。調(diào)查對象中男性4716人(46.4%),女性5442人(53.6%);平均年齡為(18.50±1.38)歲;生源地分布,6284人(61.9%)來自農(nóng)村,2731人(26.9%)來自城鎮(zhèn),1143人(11.3%)來自城市;2487人(24.5%)是獨(dú)生子女,7671人(75.5%)非獨(dú)生子女。調(diào)查對象中,社會支持總量表及主觀支持、客觀支持、支持利用度三個分量表的平均得分,網(wǎng)絡(luò)成癮組(54.59±13.68,15.29±4.61,20.81±5.41,19.73±5.45)得分均低于非網(wǎng)絡(luò)成癮組(59.65±13.32,17.34±4.45,22.43±5.16,19.87±5.42)得分,組間比較差異均有統(tǒng)計學(xué)意義(P0.001)。二分類logistic回歸分析網(wǎng)絡(luò)成癮影響因素的結(jié)果顯示:男性、家庭人均年收入高、父子關(guān)系一般、網(wǎng)絡(luò)游戲、游戲時間比(游戲時間/上網(wǎng)時間)高、受到網(wǎng)絡(luò)欺凌、飲酒、有自殺意念、有社交焦慮、抑郁、有睡眠障礙可能是職校生網(wǎng)絡(luò)成癮危險因素;父母管束一般、學(xué)習(xí)時間比(學(xué)習(xí)時間/上網(wǎng)時間)高、主觀支持高可能是保護(hù)因素。年齡、是否獨(dú)生子女、家庭居住地、修讀專業(yè)、家庭結(jié)構(gòu)類型、父母文化程度、學(xué)習(xí)成績、母子關(guān)系、體育鍛煉、上網(wǎng)途徑、吸煙等變量與職校生網(wǎng)絡(luò)成癮間均沒有發(fā)現(xiàn)存在統(tǒng)計學(xué)意義上的關(guān)聯(lián)。社會支持與網(wǎng)絡(luò)成癮相關(guān)性分析顯示,總社會支持及三個維度與網(wǎng)絡(luò)成癮均存在負(fù)相關(guān),其中,主觀支持與網(wǎng)絡(luò)成癮相關(guān)性最強(qiáng)。結(jié)論安徽省職校生的網(wǎng)絡(luò)成癮率較高,并與個人、家庭、環(huán)境等多因素相關(guān),在本研究中觀察到了一系列的與職校生網(wǎng)絡(luò)成癮相關(guān)的因素。因此,應(yīng)根據(jù)以上分析結(jié)果采取積極有效的干預(yù)措施,以期達(dá)到降低青少年網(wǎng)絡(luò)成癮率的目的。
[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 鹵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 鹵13.68 鹵15.29 鹵4.61 鹵20.81 鹵5.41 in iad group. The score of 19.73 鹵5.45) was lower than that of non-iad group (59.65 鹵13.32 鹵17.34 鹵4.45 鹵22.43 鹵5.16). The scores of 19.87 鹵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.
【學(xué)位授予單位】：安徽醫(yī)科大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：G715.5;R749.4

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