醫院行政人員代謝症候群、憂鬱指數與睡眠品質之相關性探討—以南部某區域醫院為例

Exploring the Relationships between Metabolic Syndrome, Depression and Sleep Quality within Hospital Administrative Staffs in a Regional Hospital in Southern Taiwan

陳全信(Chuan-Hsin Chen) ； 吳文智(Wen-Chih Wu) ； 周雨青(Yu-Chin Chou) ； 孫建安(Chien-An Sun) ； 楊燦(Tsan Yang)

《中華職業醫學雜誌》 20卷1期 (2013/01) Pp. 39-53

摘要

目的：探討醫院行政人員代謝症候群、憂鬱情緒與睡眠品質的相關性。方法：本研究採橫斷式量性研究設計。使用台灣人憂鬱量表、匹茲堡睡眠品質量表及自訂之結構式問卷並收集醫院行政人員健檢資料。體檢資料為醫院2010年員工年度體檢，問卷收集期間：自2011年1月1日至2011年2月28日，共計216名納入研究分析。結果：憂鬱指數發現；非第一線服務人員有憂鬱情緒之比例較第一線服務人員來的高，軍職人員有憂鬱情緒之比例較非軍職人員來的高。睡眠品質方面；非第一線服務人員其睡眠品質較第一線服務人員差，工作年資3年以上者其睡眠品質較3年以下者差，有疾病史者其睡眠品質亦較無疾病史者差。以多元邏輯斯迴歸（Multiple logistic regression）進一步分析顯示；有疾病史者其睡眠品質不良是無疾病史者的4.40倍（95% CI＝1.57-12.29），有憂鬱情緒者其睡眠品質不良是無憂鬱情緒者的13.14倍（95% CI＝4.37-39.43），均達統計顯著差異。結論：研究結果可供醫療院所建立一套關懷機制，落實執行以關心員工心理及下班後之生活作息，提升員工身心靈之品質及工作效率，進而增加醫院營運之競爭力。

關鍵字

代謝症候群 ； 憂鬱情緒 ； 睡眠品質

並列摘要

Objectives: The purpose of this study was to investigate the relationship of hospital administrative employees' metabolic syndrome, depression and sleep quality. Methods: This is a cross-sectional study. We used Taiwanese Depression Inventory, Pittsburgh Sleep Quality Scale and structured questionnaire designed by ourselves to collect the health examination data of hospital administrative employees for analysis. We also designed instructions of questionnaire fill-out and provided them together with the questionnaires. We collected the health examination data of hospital administrative employees with 2010 annual health examination of hospital employees. Questionnaire collection period: From January 1, 2011 to February 28, 2011. A total of 216 participants were recruited from hospital administrative staffs. Results: In the finding of depression index, non-front line staffs had higher rate of depressed mood than front line staffs; and military staffs had higher rate of depressed mood than non-military staffs. About sleep quality, non-front line staffs had worse sleep quality than front line staffs; those who worked more than 3 years had worse sleep quality than those who worked less than 3 years; and those who are diseased had worse sleep quality than those who are not diseased. We used multiple logistic regression for further analysis to identify variables influencing sleep quality. The results showed that the risk of poor sleep quality of those with a disease history are 4.40 times (95% CI＝1.57-12.29) of those without disease history; and of those with depressed mood are 13.14 times (95% CI＝4.37-39.43) of those without depressed mood. Conclusions: The results can be used to establish a mechanism for caring the psychological state and lifestyle after work of employees, and improving their physical and spiritual quality as well as efficiency, thus increasing the competitiveness of the hospital operations.

並列關鍵字

metabolic syndrome ； depression ； sleep quality