[[alternative]]Factors Related to Emotional Health in High Tech Production Line Workers

[[abstract]]本研究目的在瞭解北部某高科技公司生產線員工之社會人口學變項、生活壓力、健康自我管理行為、健康自我管理效能與情緒健康狀態及其相關影響因素；採橫斷式、相關性研究設計，立意取樣，以結構式問卷進行資料收集。研究工具包含社會再適應量表、自我管理行為量表、自我管理之自我效能量表及情緒健康自評量表(Depression Anxiety Stress Scales，DASS）及自擬問卷(含人口學特性與健康狀態)；發出400份問卷，共取得327份有效問卷，有效回收率為81.75 %。所得資料以spss15.0統計軟體進行資料整理與分析。研究結果顯示：研究對象以女性(65.7%)、未婚(73.1%)、平均年齡為30.3歲、教育程度為高中/高職(66.1%)居多；平均年資為3.5年、每天平均上班時數12小時、每週平均上班天數為6天。研究對象生活壓力主要來自於「重大節慶」(76.8%)；飲食攝取行為良好者佔73.7%，每週運動量不足者87.8%，面對壓力時有76.6%未進行壓力調適行為，在情緒健康狀態方面，DASS總分平均得分為34.37分，48.6%樣本有輕度到嚴重程度的憂鬱情緒，58.4%具輕度到嚴重程度的焦慮現象，37%有輕度到中度嚴重程度的壓力感受，有五成以上員工情緒健康狀態是較不好的。經階層式迴歸分析，自覺健康狀況、慢性健康症狀、生活壓力事件、飲食攝取習慣、健康自我管理效能為情緒健康狀態的預測因子，可解釋30.2%的總變異量，自覺健康越不好、慢性健康症狀況多、生活壓力事件分數越高、飲食攝取習慣越不好、健康自我管理效能越差者，其情緒健康狀態越不好。 健康自我管理效能是影響情緒健康狀況的最重要因素。透過本研究，可增進職場對員工情緒健康狀況的了解及重視，建立健康風險評估與管理的長期監測系統，以期早期發現異常警示的徵兆並予以協助，引導員工重視個人心理健康，提升個人對情緒健康的正確認知以及適當的因應措施，讓員工穩定、健康且樂於面對職場，以期達到提昇自我的健康，增進健康的效益，達到企業與勞工雙贏的目標。關鍵字:情緒健康、憂鬱、焦慮、壓力、生活壓力[[abstract]]The purpose of this study was to investigate the current conditions and the relationships in the emotional health of high-tech production line workers and probe into the correlation between the emotional health and demographic characteristics, life stress, behavior and effect of health self-management. A convenience sample was used in this cross-sectional study. The data was collected by self-administrated questionnaires. A total of 400 questionnaires were distributed and 327 completed questionnaires were returned (return rate 81.75 %). Research instruments include social readjustment rating scale (SRSS), self-management behavior scale, self-management effect scale, and depression anxiety stress scales (DASS). The statistics are sorted and analyzed by using spss15.0. The result shows: that the majority of the participants were female (65.7%), unmarried (73.1%), and the average age was 30.3. The level of education of most participants was junior high school (66.1%). The average work experience was 3.5 years.48.6% of the research objects have light to severe depressive moods. 58.4% of the research objects have light to severe anxiety. 37% of the research objects have light to moderate feeling of pressure. After doing the hierarchical regression analysis, the expectable reasons of depression, anxiety and pressure are found out to be perceived health status, chronic health problems,life stress, eating habits and effect of health self-management. Variability amount of depression, anxiety and pressure are 30.2%. Effect of health self-management is the important reason of influencing emotional health status. This research can help to understand and value workers’ emotional health status and create a long-term system to monitor, analyze and manage mental health risk, which can help to discover the symptoms of abnormal emotional health, provide suitable helps, educate workers to pay attention to personal mental health, enhance the understanding of emotional health and the appropriate response, and create a healthy, happy and energetic working environment. The research uses a cross-sectional wayKeywords: emotional health, depression, anxiety, pressure,Life stres