| 摘要: | 本研究旨在瞭解大臺北地區勞工工作壓力與睡眠品質之現況，分析不同背景變項的勞工在工作壓力與睡眠品質上的差異情形。並探討勞工工作壓力與睡眠品質之相關性；以及分析勞工背景變項、對勞工工作壓力與睡眠品質的影響。
以「調查法」進行資料的收集與分析，以18-65歲之大臺北地區勞工為主要研究對象，施測樣本總回覆 1142 份，有效問卷 1116 份，有效問卷回覆率為 98%，研究工具包括：「個人背景資料表」、「工作壓力量表」與「睡眠品質量表」。所得資料透過 SPSS 22.0 進行分析，分別以描敘述性統計、單一樣本 t 檢定、獨立樣本 t 檢定、單因子變異數分析、皮爾森積差相關進行分析。主要研究結果如下：
一、大臺北地區勞工「個人背景變項」對「工作壓力」之差異情形
1. 個人背景變項對「工作壓力」會因「年齡」、「疾病狀況」、「工作年資」有顯著差異。
2. 個人背景變項對「工作壓力」會因「教育程度」、「子女人數」、「工作年資」、「工作時數」、「職務類別」部分有顯著差異。
3. 個人背景變項對「工作壓力」並不會因「工作地區」、「性別」、「平均月薪」、「給薪狀況」而有顯著差異。
二、大臺北地區勞工之「個人背景變項」對「睡眠品質」之差異情形
1. 個人背景變項對「睡眠品質」會因「年齡」、「婚姻狀況」、「疾病狀況」、「子女人數」、「給薪狀況」及「工作時數」有顯著差異。
2. 個人背景變項對「睡眠品質」並不會因「工作地區」、「性別」、「教育程度」、「工作年資」及「職業類別」而有顯著差異。
三、大臺北地區勞工工作壓力與睡眠品質之間具有顯著的相關性
1. 大臺北地區勞工在「工作壓力」對「睡眠品質」部分「整體睡眠品質」、「主觀睡眠品質」及「日間功能運作」均達顯著「中程度之正相關」。
2. 大臺北地區勞工在「工作壓力」對「睡眠品質」部分「睡眠潛伏期」、「睡眠時數」、「睡眠效率」、「睡眠困擾」及「藉助藥物入眠」均達顯著「低程度之正相關」。
The purposes of this study are to understand the current situation of work stress and sleep quality of workers in Greater Taipei Area and to analyze differences in work stress and the sleep quality of workers with different background variables. Discussions were made regarding the correlation between work stress and sleep quality, and an analysis was conducted on the impact of worker background variables on work stress and sleep quality.
The data were collected and analyzed by investigation method, and the workers in Greater Taipei Area aged 18-65 were enrolled as the research subjects. Among the total of 1,142 responded samples, there were 1,116 valid questionnaires with a valid response rate of 98%. The research tools included Personal Background Data Sheet, Scale of Work Stress, and Scale of Sleep Quality. While SPSS 22.0 was employed for outcome analysis on the data obtained, the methods of descriptive statistics, single sample t-test, independent sample t-test, one-way ANOVA, and Pearson product moment correlation were adopted for analyses as well. The findings are as follows:
1. The impact of Personal Background Variables of workers in Greater Taipei Area on “Work Stress”
(1) Personal Background Variables, including “Age”, “Diseases Status”, and “Working Years” have a significant difference on “Work Stress”.
(2) Personal Background Variables, including “Education Level”, “Number of Children”, “Working Years”, “Working Hours”, and “Job Category” have a significant difference on “Work Stress”.
(3) Personal Background Variables, including “Working Area”, “Gender”, “Average Monthly Salary” and “Salary Status” have no significant difference on “Work Stress”.
2. The impact of Personal Background Variables of workers in Greater Taipei Area on “Sleep Quality”
(1) Personal Background Variables, including “Age”, “Marital Status”, “Disease Status”, “Number of Children”, “Salary Status”, and “Working Hours” have a significant difference on “Sleep Quality”.
(2) Personal Background Variables, including “Working Area”, “Gender”, “Education level”, “Working Years”, and “Job Category” have no significant difference on “Sleep Quality”.
3. There is a significant correlation between “Work Stress” and “Sleep Quality” for workers in Greater Taipei Area
(1) The “Work Stress” of workers in Greater Taipei Area shows a significant medium positive correlation with “Overall Sleep Quality”, including “Subjective Sleep Quality”, and “Daytime Functional Operation”.
(2) The “Work Stress” of workers in Greater Taipei Area shows a significant low positive correlation with “Sleep Quality”, including “Sleep Latency”, “Subjective Sleep Quality”, “Sleep Efficiency”, “Sleep Distress”, and “Sleeping with Medication”. |
