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研究生:林惠萍
研究生(外文):Hui-Ping Lin
論文名稱:工作壓力與憂鬱症狀相關性探討-以某家金融保險公司為例
論文名稱(外文):Association between job stress and depressive symptom in a financial and insurance company
指導教授:張大元
學位類別:碩士
校院名稱:中國醫藥大學
系所名稱:職業安全與衛生學系碩士在職專班
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:102
中文關鍵詞:工作壓力憂鬱症狀金融保險業橫斷式研究
外文關鍵詞:Cross-sectional studydepressive symptomsfinancial and insurance industryjob stress
相關次數:
  • 被引用被引用:4
  • 點閱點閱:458
  • 評分評分:
  • 下載下載:29
  • 收藏至我的研究室書目清單書目收藏:0
背景:目前國外已有許多研究探討工作壓力與憂鬱症狀之相關性,但以金融保險業員工研究甚少。我國金融保險業相關研究大都以探討工作壓力相關因素為主,鮮少針對憂鬱症狀進行分析探討。
目的:本研究旨在探討某金融保險業員工之工作壓力與憂鬱症症狀盛行率之關係。
方法:本研究採橫斷式研究設計,由106年11月至107年1日,以某金融保險公司員工為研究對象進行招募,共收集有效問卷681份,以自填式問卷方式進行問卷調查。我們使用病人健康狀況問卷-9(PHQ-9)來進行評估憂鬱症症狀,工作壓力則以中文版職場疲勞量表、工作特質量表為研究工具,並將工作壓力分為四組(被動組、低壓力組、高壓力組、主動組)。此外亦收集員工睡眠品質、基本資料、工作史及生活健康習慣問卷等資料。並以多變項邏輯斯迴歸進行統計分析,探討不同工作壓力分組與憂鬱症盛行率之關係。
結果:本研究憂鬱症狀盛行率為11.2%,其中輕度7.9%、中度1.8%、重度1.5%,我們發現高壓力組罹患憂鬱盛行率是被動組的3.20倍(95%CI=1.19~8.59,P=0.02),此外我們也發現高度的工作投入比低度的工作投入有較高的風險(OR=1.95,95%CI=1.07~3.54,P=0.03),睡眠品質較差者則比較佳者高出5.73倍的風險(95%CI=2.97~11.1,P<0.001),而年齡51歲以上的員工比35歲以下的員工有較低憂鬱風險(OR=0.34,95%CI=0.14~0.82,P=0.016)。
結論:本研究顯示在高壓力組之工作型態、高度的工作過度投入及不良的睡眠品質有較高的憂鬱症風險,但在年齡較高者發現有較低的憂鬱症風險。
Background:
Many occupational studies have reported the association between job stress and depressive symptoms, but little is investigated among financial and insurance workers. Previous studies focused on job stress related factors in Taiwan, but no studies analyzed the prevalence of depressive symptoms.
Purpose:
The aim of this study is to explore the relationship between job stress and depressive symptoms among financial and insurance workers.
Methods:
This cross-sectional study was conducted from November, 2017 to
January, 2018. Employees in a financial insurance company were recruited as the study subjects. A total of 681 valid questionnaires were collected by self- administration. We used the Patient Health Questionnaire-9 (PHQ-9) as the screening tool for depressive symptoms. The job stress data was obtained using the Chinese Occupational Burnout Inventory and the Job Content Questionnaire to divide subjects into four groups (passive, low-stress, high-stress, and active types). The Pittsburgh Sleep Quality Index (PSQI) was applied to assess sleep quality. Information of individual health data, life style, and work history was also collected. The multivariate logistic regression models were used to investigate the association between different stress groups and prevalence of depressive symptoms.
Results:
The prevalence of depressive symptoms in this study was 11.2%, including 7.9% mild depression, 1.8% moderate depression, and 1.5% severe depression. The results of logistic regression analyses showed that the risk of depressive symptoms in the high-stress group was 3.20-time (95%CI=1.19~8.59, P=0.02) compared with the passive group, and subjects with the high over-commitment had the higher risk of depressive symptoms than those with the low over-commitment (OR=1.95, 95%CI=1.07~3.54, P=0.03). We also found that workers with poor sleep-quality were at 5.73-time risk (95%CI=2.97~11.1) of depressive symptoms in comparison to those with the good sleep quality. In contrast, subjects aged over 51 years had a lower risk of depressive symptoms than those aged below 35 years (OR=0.34, 95%CI=0.14~0.82, P=0.016).
Conclusion:
This study had revealed the higher risk of depressive symptoms in the high-stress, overload and poor-sleep quality workers, but elders had the lower prevalence of depressive symptoms than the younger.
致謝 i
中文摘要 ii
ABSTRACT iv
目錄 vi
表目錄 ix
圖目錄 xi
第一章 緒論 1
第一節 研究背景 1
第二節 研究之重要性 3
第三節 研究假設 4
第四節 研究目的 5
第二章 文獻探討 6
第一節 產業介紹 6
第二節 工作壓力 8
第三節 認識憂鬱症 13
第四節 工作壓力與憂鬱症狀 15
第五節 睡眠、工作壓力與憂鬱症狀 19
第三章 研究方法 22
第一節 研究對象 22
第二節 合作單位取樣規劃與招募 23
第三節 研究結構 24
第四節 資料收集 25
第五節 工作壓力分組 30
第六節 資料統計與分析 32
第四章 研究結果 34
第五章 討論 47
第一節 工作壓力與憂鬱症狀相關性 47
第二節 過度投入與憂鬱症狀相關性 49
第三節 睡眠程度與憂鬱症狀相關性 51
第四節 年齡與憂鬱症狀相關性 52
第五節 憂鬱症狀盛行率 54
第六章 結論與建議 56
第一節 結論 56
第二節 研究限制 57
第三節 應用與建議 59
參考文獻 61
附錄一 工作特質量表 95
附錄二 職場疲勞量表 97
附錄三 匹茲堡睡眠品質量表 98
附錄四 病人健康問卷-9 99
附錄五 人體試驗計畫同意書 100
附錄六 不同工作壓力分組與人口學特徵比例分佈 101
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