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工作暴露矩陣的發展及其在流行病學研究上的應用

Development of a Job Exposure Matrix and Its Applications in Epidemiological Studies

摘要


限於過去暴露資料缺乏或不完整,及連續性暴露資料創定的準確性、精巒度皆會隨時間的不同而有所改變,導致流行病學的研究上暴露與健康效應之確切關係常無法得到一致的結果。工作暴露矩陣模式由於暴露評估之限制與假設較少,因此在因果型流行病學上用來定量個體累積暴露值的機會,有日益增加之情形。工作暴露矩陣模式建立之步驟,隨著研究主題、研究對象特性不同而不同。本文依據文獻上多項研究之綜合,歸納成四個步驟:(1)暴露群的篩選(2)工作職務與暴露因子建立關聯(3)權重大小之決定(4)建立陽性預測值(5)綜合加權給分訂定暴露指標等。而建立-“工作暴露矩陣模式”時需注意誤差的產生及效度之評估,以避免實際暴露被高估或低估。現行的“工作暴露矩陣模式”所在流行病學的研究上,廣泛地應用於評估職業-暴露或暴露-疾病的關係,而由一些研究發現“工作暴露矩陣”所推估的暴露量與實際量創資料,與研究主體面談或專家學者意見的驗證結果相近,可知在現今或未來的暴露-健康效應的關係推估研究上,及暴露量之推估方法學上,工作暴露矩陣模式可提供-潛在可行的方向。本研究建議國內工業衛生學者與專家應共同訂定符合本國國情之分類準則,以作為爾後暴露評估之重要依據。

並列摘要


Due to incomplete information about past exposure data and inconsistent accuracy and precision in the monitoring of data during study periods, there have been some problems in exploring the true relationship between exposure and the corresponding health effects in causal epidemiological studies. Compared with the methods of exposure assessment applied in traditional epidemiological research, the use of a job exposure matrix makes a smaller number of assumptions and suffers from fewer limitations. Therefore, the application of a job exposure matrix in determining the exposure level for a homogenous exposure group or individual has become increasingly popular. In general, there are four steps to develop a job exposure matrix: (1) selecting the exposure group, (2) establishing the link between the work task and the hazards, (3) determining the corresponding positive predictive value (PPV), and (4) prioritizing the weighing factors among the variables and scoring the exposure of the homogenous exposure group or individual. The mitigation of bias and evaluation of validity are also important issues throughout the whole process to avoid over- or under- estimation of the true exposure. This article also reviews the applications of research which used a job exposure matrix to explore the relationship between the occupation-exposure and exposure-disease among various epidemiological domains, including in general population or community-based studies, industry- or plant-specific studies, hypotheses generation, and study-specific. Some studies have shown a relatively small difference in the exposure estimate between the job exposure matrix and the actual measurement. The use of the job exposure matrix has been showing promising potential in the study of defining exposure-health effect relationships and the methodology of the exposure estimate.

被引用紀錄


盧亭妤(2012)。在非獨立設限及測量偏誤下的追蹤式計數資料分析〔碩士論文,國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2002201315350926

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