睡眠(Sleep)在近年來出現在管理學研究領域中的頻率增加了，原本研究睡眠不足(sleep deficiency)等等議題，大部分以醫療以及心理學的領域為主，由此作為本篇論文研究管理學院研究生睡眠品質及其影響之動機。
　　本篇論文的目的主要是分析、衡量一個人的生活狀況(Life Conditions)以及他們睡眠品質(sleep quality)之間的關係，下去判斷是否會對他們的生理、心理造成任何影響。生活狀況主要涵蓋工作、學習和家庭的狀況；而睡眠品質的變數則是考慮了每晚的平均睡眠時間、平時睡眠以及清醒時間長度、午睡時間、睡眠中斷頻率、進入睡眠所需要的時間和睡眠時間的一致性；而生理與心裡的狀態，是以自覺的健康、壓力、專注度、滿意度、耐心和脾氣作為變項。
　　本研究以問卷調查的方式進行，問卷樣本主要為中山大學MBA、IBMBA以及EMBA的學生，這群學生中的工作、學習、家庭狀況變異範圍很廣，以此進行採樣，可以使其成果更加顯著。
　　此研究主要是使用橫斷面分析(cross-sectional analysis)，以SPSS作為分析工具，利用ANOVA、T檢定、相關性迴歸下去分析數據。由結果可之，生活狀況和睡眠品質確實是具有相關性的，然而，影響的程度仍是跟其餘變數有相關性。而大部份生活狀況變數和睡眠品質變數至少具有1~5個關連性，而從中判定工作其實對睡眠品質產生很大的影響。另外，睡眠品質變數與生理、心理影響的主要和平時睡眠時間、平時起床時間和睡眠時間一致性相關，受影響最多的生、心理狀況為健康、專注力以及壓力，而其餘像是樂觀、耐心、脾氣以及工作滿意度，和睡眠品質關連性皆為不顯著。

Studies regarding sleep are emerging with increasing frequency among the managerial field. The effects on are still only partially understood and most of the current research being conducted is in the medical and psychological field.
The purpose of this paper is to analyze and gauge the relationship between an individual’s lifestyle conditions and their sleep quality, and to determine whether this has any effect on their mental and physical state. The life style conditions taken into consideration are the person’s work, study and family conditions. The sleep quality variables considered are their average sleep per night, usual sleep and wake time, nap time, frequency of sleep interruptions, time it takes to fall asleep and sleep time consistency. The mental and physical state are in terms of their perceived level of health, stress, focus, satisfaction, patience and temper.
The proposed study uses questionnaires handed to graduate students at the National Sun Yat Sen Universtiy from MBA, IBMBA and EMBA students. These students were sampled due to their work, study and family conditions having a larger range of variability, which would allow for a better understanding of significant differences in outcomes.
The study conducts a cross-sectional analysis of the sample and uses SPSS to perform ANOVA, T-Test, Correlation and Regression analysis on the collected responses. Results showed that life style conditions and sleep quality are indeed related; however, the degree of impact depends on the variable. Most of the lifestyle variables were indeed related to at least one to five sleep quality variables. It seems that work has the largest impact on ones sleep quality, compared to study and family conditions, which contained the largest number of variables with no relationship with any sleep quality variable. The sleep quality variables that had the most effect on ones mental and physical state included usual sleep time, usual wake up time and sleep time consistency. The mental and physical variables most affected include health, focus, and stress. The mental and physical variables that were not significantly affected by any of the sleep quality variables included optimism, patience, temper and job satisfaction.

論文審定書 i
Acknowledgements ii
Abstract iii
摘要 v
List of Tables viii
List of Figures xi
Chapter 1: Introduction 1
1.1 Research Background 1
1.2 Research motive and objective 1
1.3 Scope 2
Chapter 2: Literature Review 3
2.1 The Importance of Sleep 3
2.2 Stages of sleep 4
2.3Cognitive Performance 6
2.4 Accidents due to sleep impairment 7
2.5 Stress and sleep 8
2.6 Sleep effects on Mental and Physical Health 9
Chapter 3: Research Method 11
3.1 Research framework and structure 11
3.2 Measures: dependent and independent variables 12
3.3 Hypothesis 13
3.4 Sample demographic information and Data Collection 14
3.5 Questionnaire translation and pretesting 15
Chapter 4: Results 16
4.1 Descriptive Statistics 16
4.2 Demographic characteristics and sleep 17
4.2.1 Gender 17
4.2.2 Age 18
4.3 Sleep and mental and physical state 21
4.3.1 Sleep and health 22
4.3.2 Average amount of sleep per night 23
4.3.3 Amount of sleep last night 24
4.3.4Usual bed time 26
4.3.5 Usual wake up time 28
4.3.6Average amount of nap time 29
4.3.7Frequency of times awoken throughout the night 30
4.3.8 Time spent laying awake in bed yet unable to fall sleep 31
4.3.9 Bed time consistency 32
4.4 Work and sleep 35
4.4.1 Work status 35
4.4.2 Income Satisfaction 38
4.4.3 Job Stress 38
4.4.4 Working hours per week 39
4.4.5 Job Position 40
4.5 Family and sleep 41
4.5.1 Marital status 41
4.5.2 Number of children 43
4.5.3 Children’s Age 44
4.5.4 Family stress 45
4.6 Study and Sleep 46
4.7Summary of results 47
Chapter 5 Conclusion 49
5.1 General Discussion 49
5.2 Study Limitations 50
5.3 Future Directions 51
References Appendix 53
Table1 – Correlation 54

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