本文選題：中職生 + 智能手機��； 參考：《鄭州大學》2014年碩士論文

【摘要】：目的 了解中職生智能手機使用、睡眠質(zhì)量和學習倦怠的現(xiàn)況,探討中職生智能手機使用狀況對睡眠質(zhì)量、學習倦怠的影響,為中職生手機成癮的防治和正確使用智能手機提供科學依據(jù)。 方法 采用現(xiàn)場自評式問卷調(diào)查的方法,調(diào)查中職生人口學特征、智能手機基本使用情況、智能手機成癮現(xiàn)況、睡眠質(zhì)量及學習倦怠情況。采用EpiData3.1和SPSS21.0錄入數(shù)據(jù),用SPSS21.0進行數(shù)據(jù)處理和分析,分類變量的比較采用卡方檢驗,定量變量的均數(shù)比較用獨立樣本t檢驗和單因素方差分析,變量的關系采用相關和逐步多元回歸分析。 結(jié)果 1調(diào)查對象共352名中職生,平均年齡(18.41±1.793)歲；其中中職一年級180人(51.1%),中職二年級172人(48.9%)；男生102人(29.0%),女生250人(71.0%)。 2中職生智能手機使用率為97.2%,66.7%的中職生使用智能手機年限不超過2年,39.7%的每天使用手機時間在4小時以上,63.7%每月上網(wǎng)流量超過150Mb；47.4%和40.9%中職生在臨睡前和自習課時“經(jīng)常”使用手機；中職生“經(jīng)�！笔褂玫闹悄苁謾C功能是QQ聊天(41.2%)和手機網(wǎng)絡音樂(40.1%)；中職生手機成癮指數(shù)總分為42.28±12.260,手機成癮者占18.1%。 3中職生睡眠質(zhì)量總分為3.07±1.361,睡眠質(zhì)量差的有168人,占總?cè)藬?shù)的49.1%；臨睡前智能手機使用情況與睡眠質(zhì)量的比較有差異,具有統(tǒng)計學意義(P0.05)；睡眠質(zhì)量總分與手機成癮指數(shù)總分及各因子呈顯著正相關,具有統(tǒng)計學意義(P0.05)。 4中職生學習倦怠總分均值為44.42_±7.969,滿分為90,得分主要集中在40-55分之間；學習倦怠量表各因子在自習時智能手機不同使用情況的比較有差異,具有統(tǒng)計學意義(P0.05)；手機成癮者與非成癮者在學習倦怠量表各因子上的比較有差異,具有統(tǒng)計學意義(P0.05)。 結(jié)論 1智能手機在中職生群體已經(jīng)得到普及,部分中職生在臨睡前和自習課時有經(jīng)常使用手機的習慣；中職生智能手機成癮率較高,與非手機成癮者相比,中職生手機成癮者使用智能手機具有使用年限長、每天使用時間長、每月上網(wǎng)流量多和每月花費高的特點。 2中職生睡眠質(zhì)量總體狀況較差,手機成癮傾向越高睡眠質(zhì)量越差；臨睡前經(jīng)常使用手機可導致睡眠質(zhì)量變差,入睡時間延長,引起睡眠障礙和日間功能障礙加重。 3中職生存在整體中度偏上的學習倦怠水平,自習時和課間休息時經(jīng)常使用手機及手機成癮傾向增高都可顯著增加學習倦怠水平。
[Abstract]:Purpose To understand the current situation of smartphone use, sleep quality and learning burnout among secondary vocational school students, and to explore the effects of smartphone use status on sleep quality and learning burnout. To provide scientific basis for the prevention and cure of mobile phone addiction and the correct use of smart phone for secondary vocational school students. Method The demographic characteristics of secondary vocational school students, the basic use of smart phone, the status of smartphone addiction, sleep quality and learning burnout were investigated by self-evaluation questionnaire. EpiData3.1 and SPSS21.0 were used to input data, SPSS21.0 was used to process and analyze the data, chi-square test was used to compare classified variables, and independent sample t test and single factor variance analysis were used to compare the mean of quantitative variables. Correlation and stepwise multiple regression analysis were used to analyze the relationship of variables. Result 1A total of 352 secondary vocational students with an average age of 18.41 鹵1.793 years old were investigated, of which 180 students in grade one were 51.1, 172 in second grade were 48.9, 102 boys were 29.0 and 250 girls were 71.00.The results showed that: (1) the average age was 18.41 鹵1.79 3 years old, among which 180 students in grade one were 51.1 years old, 172 students in second grade were 48.9 years old, 102 boys were 29.0 students and 250 girls were girls. (2) the usage rate of smart phone for secondary vocational school students is 97.2%, 66.7% of secondary vocational students use smart phone for less than 2 years, 39.7% of them use mobile phone more than 4 hours a day, 63.7% of them use the Internet more than 150 MbBX 47.4% and 40.9% of secondary vocational students use smartphone before bedtime and during self-study. "regular" use of mobile phones; The smartphone function used by secondary vocational school students is QQ chat 41.2) and mobile network music 40.1. The total score of mobile phone addiction index of secondary vocational school students is 42.28 鹵12.260, and the number of mobile phone addicts is 18.1. 3The total score of sleep quality of secondary vocational school students was 3.07 鹵1.361, and 168 students (49.1%) had poor sleep quality. There was a significant positive correlation between the total score of sleep quality and the total score of mobile phone addiction index and every factor, which had statistical significance (P 0.05). (4) the average total score of learning burnout of secondary vocational school students was 44.42 鹵7.969, with a full score of 90, and the scores were mainly between 40-55 points. There were significant differences between mobile phone addicts and non-addicts in learning burnout scale (P 0.05). Conclusion (1) smartphone has been popularized in secondary vocational school students, some secondary vocational students have the habit of using mobile phone before bedtime and self-study, the rate of smartphone addiction of secondary vocational school students is higher than that of non-mobile phone addicts. The mobile phone addicts of secondary vocational school students have the characteristics of long service life, long daily use time, high monthly internet traffic and high monthly cost. 2the general condition of sleep quality of secondary vocational school students is poor, the higher the tendency of mobile phone addiction, the worse the sleep quality, the worse sleep quality can be caused by regular use of mobile phone before bedtime, the longer the time to fall asleep, the more serious the sleep disorder and daytime dysfunction. (3) the level of learning burnout on the whole moderate side of secondary vocational school survival, the increased tendency to use mobile phone and mobile phone addiction during self-study and recess can significantly increase the level of learning burnout.
【學位授予單位】：鄭州大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：R740;R749.99

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