高職生網路成癮與睡眠品質之相關研究 -以台北市某高職為例

Abstract

本研究目的在了解高職生網路成癮與睡眠品質的現況，並且探討背景因素、網路使用習慣、網路成癮與睡眠品質的關係。 本研究以台北市某所私立高職日間部學生做為研究母群體，採分層集束抽樣的方式，以問卷調查來收集資料，由就問卷包含四個部分：1.背景資料2.網路使用習慣3.網路成癮4.睡眠品質，共獲得351份有效樣本，研究結果如下： 一、研究對象的網路成癮總分平均為54分，其中網路成癮總分正常者佔59.8%、網路成癮高危險群佔18.5%、網路成癮疑似個案佔21.7%，顯示多數高職生的網路成癮傾向都是正常。而研究對象的網路成癮問題最差的前三名變項分別為「耐受性症狀」、「戒斷症狀」、「強迫上網行為」。 二、研究對象睡眠品質總分平均為平均值為5.41，而睡眠品質佳者為多數佔53%，結果顯示高職生睡眠品質佳者佔多數。而研究對象睡眠品質較差的前三項變項分別為「睡眠時數」、「睡眠困擾」、「日間功能障礙」。 三、背景因素以及網路使用習慣中的「目前在校成績」、「有無使用網路連線遊戲」以及「網路主要使用地點」在網路成癮上有達到統計上顯著差異，而「每週上網天數」以及「每日上網時數」在網路成癮上有達到統計上顯著相關。 四、網路使用習慣中的「有無使用BBS」在睡眠品質上有達到統計上顯著差異，而「上網可利用的裝置種類」以及「每日上網時數」在睡眠品質上有達到統計上顯著相關。 五、研究對象的「網路成癮總分」與「睡眠品質」有達到統計上顯著正相關，即網路成癮傾向越嚴重者，其睡眠品質越差。 六、研究對象的性別、網路成癮總分可解釋睡眠品質總變異量的26.30%，其中以網路成癮總分解釋力最高。 根據研究結果建議高職學生應該要減少上網時間以及避免沉溺於網路連線遊戲。而學校與家庭要更加重視大學生使用網路的習慣以及睡眠的品質，以改善生活習慣。

The objectives of this study were to investigate internet addiction and sleep quality, and examine the effects of personal factors, network habits, internet addiction, on sleep quality among vocational school students. The subjects consisted 351students who were selected by stratified cluster sampling method from a vocational school in Taipei county. The data were collected through a questionnaire survey wich comprised four parts: personal factors, network habits, internet addiction and sleep quality. The conclusions are as follows: 1. The average CIAS score of the total subjects is 54, 59.8% subjects are rated as normal network users,18.5 % subjects are rated as internet addiction of high risk groups, 21.7 % subjects are rated as internet addiction suspected cases. The result demonstrates that most students are normal network users. The worst of the top three components of CIAS are Tolerance Symptoms, Withdrawal symptoms and Compulsive symptoms. 2. The average PSQI global score of the total subjects is 5.41, 53% subjects are rated as normal sleepers (PSQI<5). The result demonstrates that most students are normal sleepers. The worst of the top three components of PSQI are sleep duration, sleep disturbance and daytime dysfunction. 3. The personal factors and network habits like” academic achievement”, “play online game”,” the place of students use network “have significantly correlated with internet addiction. And the variables “how many days use internet a week”, “how many hours use internet a day” have significantly positively related to internet addiction. 4. The network habits like “use BBS” have significantly correlated with sleep quality . And the variables “how many hours use internet a day” and ” the number of Internet tools” have significantly positively related to sleep quality . 5. The internet addiction have significantly positively related to sleep quality. 6. Multiple regression indicated that personal factors, network habits and internet addiction can explain 26.30% of the total variance of sleep quality. In these variances, internet addiction is the best predictor of sleep quality. According to the results, this study suggests that vocational students should reduce the time to play online game. Schools and parents are highly recommended to pay more attention to the habits of students use the Internet to improve their healthy lifestyle.