南部某科學園區勞工憂鬱傾向高風險族群之流行病學及人口學風險分析

Prevalence and Demographic Risk Factors of Depression among High-Tech Workers in Southern Taiwan

背景：考量憂鬱情緒將會影響勞工生產力、失業率及職場人際關係等因素，故擬針對高科技勞工憂鬱傾向高風險族群之流行病學及人口學現況做一探討。方法：採橫斷式研究，以台灣南部高科技園區某一工廠勞工為對象，透過問卷方式收集於2012年1月至2012年12月新進勞工，包含其基本人口學資料、生活習慣、身體質量指數(bady mass index, BMI)、運動習慣、台灣人憂鬱量表等資料，以SPSS統計軟體進行流行病學及人口學風險分析。結果：透過人口學分析，並調整性別、年齡、教育程度、吸菸習慣、喝酒習慣、BMI及運動習慣等變項後，發現女性[adjusted oddsratio(AOR)=3.00]及年紀較輕(≤30歲，AOR=1.69)為憂鬱傾向的獨立危險因子。結論：透過本研究連結「基本人口學和體檢資料」與「憂鬱傾向之高危險族群」間的關係，發現新進年輕女性勞工可能有較高風險具憂鬱傾向，可協助醫師提早特別注意給予心理關懷及協助。

Background: Melancholy mood can affect labor productivity, unemployment, and workplace relationships, among other factors. Thus, this study intended to find the prevalence and demographic risk factors for depression among high-tech workers in Southern Taiwan. Methods: Using a cross-sectional study, we collected a questionnaire from a group of high-tech factory workers in southern Taiwan during their annual physical examinations (January 2012 to December 2012). Data included demographic data, lifestyle habits, bady mass index (BMI), and the Taiwanese Depression Scale (TDS). SPSS statistical software was used to analyze risk factors for depression. Results: After adjustment for sex, age, education, smoking habits, alcohol consumption, BMI, exercise habits, and other variables, logistic regression analysis showed that women [adjusted odds ratio(AOR)=3.00] and younger age (≤30 years old, AOR=1.69) are independent risk factors for depression among incoming high-tech workers. Conclusions: Young female incoming high-tech workers had a higher risk for depression. Thus, more attention and earlier psychological support may be necessary for this population to treat this condition.