【摘要】：目的了解安徽省職校生睡眠質(zhì)量的現(xiàn)狀;分析影響職校生睡眠質(zhì)量的影響因素;為有關(guān)部門制定相關(guān)改善職校生睡眠質(zhì)量的政策和措施提供科學(xué)的決策依據(jù)。方法通過分層整群抽樣,選擇了安徽省(安慶、巢湖、阜陽、滁州和銅陵)5所城市的5所職業(yè)學(xué)院作為研究現(xiàn)場,以在藉10158名學(xué)校學(xué)生作為研究對象進行問卷調(diào)查,包括一般情況調(diào)查表、匹茲堡睡眠質(zhì)量指數(shù)(Pittsburgh sleep quality index,PSQI)量表、抑郁自評量表(Self-rating depression scale,SDS)等。對于計數(shù)資料,主要采用率、構(gòu)成比、頻數(shù)分布等進行描述;對于計量資料,選用均數(shù)及標(biāo)準(zhǔn)差進行描述。分類資料組間比較采用χ2檢驗;多因素分析采用二分類Logistic回歸,在校正相關(guān)混雜因素的基礎(chǔ)上,探討職校生睡眠障礙的影響因素;所有數(shù)據(jù)采用Epi Data 3.1軟件建立數(shù)據(jù)庫輸入數(shù)據(jù),使用SPSS16.0軟件進行統(tǒng)計分析。結(jié)果調(diào)查對象中,≤18歲4383人(43.1%),18歲5775人(56.9%);其中男性4716人(46.4%),女性5442人(53.6%);家庭居住地,居住在農(nóng)村地區(qū)的生源有6284人(61.9%),居住在鄉(xiāng)鎮(zhèn)/集鎮(zhèn)地區(qū)有1445人(14.2%),居住在縣城區(qū)域1286人(12.7%),居住在城市市區(qū)有1143人(11.3%);是獨生子女的有2487人(24.5%),不是獨生子女的有7671人(75.5%)。10158名職校生中,有1451人存在睡眠障礙,睡眠障礙的檢出率為14.3%。不同父母文化程度、家庭居住地和是否獨生子女的學(xué)生睡眠障礙之間沒有統(tǒng)計學(xué)差異。男性睡眠障礙檢出率低于女性;成績好的職校生睡眠障礙檢出率低于學(xué)習(xí)成績差的學(xué)生;父母管束較多的學(xué)生睡眠障礙檢出率低于父母管束一般的學(xué)生;有校園欺凌和網(wǎng)絡(luò)欺凌經(jīng)歷學(xué)生的睡眠障礙發(fā)生率高于無校園欺凌和網(wǎng)絡(luò)欺凌的學(xué)生,抑郁得分越高的學(xué)生睡眠障礙發(fā)生率越高,差異具有統(tǒng)計學(xué)意義(P0.05)結(jié)論安徽省(安慶、巢湖、阜陽、滁州和銅陵)5所城市的職校生睡眠障礙的檢出率較高;不同父母文化程度、家庭居住地,是否獨生子女的職校生睡眠障礙的差異不明顯,影響職校生睡眠障礙的因素主要有:性別、學(xué)習(xí)成績、父母管束、校園欺凌、網(wǎng)絡(luò)欺凌和抑郁。應(yīng)針對性地采取有效的防治策略,減少職校生睡眠障礙的發(fā)生。
[Abstract]:Objective to understand the current situation of sleep quality of vocational school students in Anhui province, analyze the influencing factors of sleep quality of vocational school students, and provide scientific decision basis for relevant departments to formulate policies and measures to improve the sleep quality of vocational school students. Methods by stratified cluster sampling, 5 vocational colleges in 5 cities of Anhui Province (Anqing, Chaohu, Fuyang, Chuzhou and Tongling) were selected as the research site, and 10158 students were investigated. General situation questionnaire, Pittsburgh Sleep quality Index (Pittsburgh sleep quality index,PSQI), self-rating Depression scale (Self-rating depression scale,SDS) and so on. For the counting data, the rate, composition ratio, frequency distribution and so on are mainly used to describe; for the measurement data, the mean and standard deviation are used to describe the data. 蠂 2 test was used to compare the classification data among groups, and multivariate analysis was used to study the influencing factors of sleep disorder in vocational school students on the basis of positive correlated confounding factors. All the data are built by Epi Data 3.1 software and analyzed by SPSS16.0 software. Results among the subjects, 4383 (43.1%) were less than 18 years old (43.1%), 5775 (56.9%) were 18 years old, 4716 (46.4%) were males and 5442 (53.6%) were females. 6284 students (61.9%) lived in rural areas, 1445 (14.2%) lived in township / market towns, 1286 (12.7%) lived in county towns, 1143 (11.3%) lived in urban areas, 2487 (24.5%) were only children, 7671 (75.5%) were not only children. There were 1451 people with sleep disorder, and the detection rate of sleep disorder was 14.3%. There were no significant differences between parents' education level, family residence and sleep disorder of students who were only children. The detection rate of sleep disorder in male students was lower than that in women; the detection rate of sleep disorders in vocational school students with good grades was lower than that in students with poor academic performance; the detection rate of sleep disorders in students with more parental restraints was lower than that in students with normal parental restraints. The incidence of sleep disorders among students with campus bullying and cyberbullying was higher than that without campus bullying and cyberbullying. The higher the score of depression, the higher the incidence of sleep disorders, the difference was statistically significant (P0.05). In five cities, Chaohu, Fuyang, Chuzhou and Tongling, the detection rate of sleep disorders among vocational school students was higher, and there was no significant difference in sleep disorders among vocational school students with different parents' education level, family residence, and whether the only child was the only child. The main factors affecting sleep disorder of vocational school students are gender, academic achievement, parental restraint, campus bullying, cyberbullying and depression. Effective prevention and treatment strategies should be adopted to reduce the incidence of sleep disorders among vocational school students.
【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;R740

【參考文獻】

相關(guān)期刊論文 前10條

1 敬攀;胡珍玉;張斌;楊寶琴;周東升;王曉笳;;寧波市中學(xué)生失眠狀況及相關(guān)因素分析[J];中國學(xué)校衛(wèi)生;2016年07期

2 Daria J Kuss;Olatz Lopez-Fernandez;;Internet addiction and problematic Internet use: A systematic review of clinical research[J];World Journal of Psychiatry;2016年01期

3 屈芳;王雷;向仕婷;呂媛;易尚輝;劉桃成;易銀沙;;長沙市醫(yī)學(xué)生睡眠質(zhì)量及認知情況調(diào)查分析[J];中華疾病控制雜志;2016年01期

4 張蕾蕾;;高職學(xué)生睡眠狀況的調(diào)查與分析[J];阜陽職業(yè)技術(shù)學(xué)院學(xué)報;2015年02期

5 谷巖;徐廣明;尹慧芳;;天津市18歲及以上社區(qū)人群睡眠質(zhì)量調(diào)查[J];中國心理衛(wèi)生雜志;2015年03期

6 周建松;;高等職業(yè)教育人才培養(yǎng)目標(biāo)下的課程體系建設(shè)[J];教育研究;2014年10期

7 凌喜歡;辛自強;;大學(xué)生睡眠質(zhì)量變化的橫斷歷史研究[J];中國心理衛(wèi)生雜志;2014年10期

8 王戰(zhàn);陳亦揚;盛祺;蔡思潔;華亞芳;許巖;邱健;陸榮柱;;江蘇某高校大學(xué)生睡眠現(xiàn)狀及影響因素分析[J];中國學(xué)校衛(wèi)生;2014年07期

9 耿立國;夏聰聰;孫國仁;;徐州市大學(xué)生睡眠質(zhì)量及其影響因素分析[J];中國學(xué)校衛(wèi)生;2014年07期

10 崔玉玲;倪守建;劉鵬飛;吉峰;;醫(yī)學(xué)生睡眠質(zhì)量與心理健康及總體幸福感的關(guān)系[J];中國健康心理學(xué)雜志;2014年06期

相關(guān)博士學(xué)位論文 前1條

1 馮正直;中學(xué)生抑郁癥狀的社會信息加工方式研究[D];西南師范大學(xué);2002年

相關(guān)碩士學(xué)位論文 前2條

1 易潔美;大學(xué)生自我控制力的現(xiàn)狀調(diào)查及其與健康生活方式和情緒的關(guān)系[D];湖南師范大學(xué);2013年

2 宋嫻;高中生網(wǎng)絡(luò)欺負行為及其干預(yù)模式探究[D];華東師范大學(xué);2008年

，

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