A Bayesian Approach for Determining the Relationship Between Various Elongate Mineral Particles (EMPs) Definitions.

A Bayesian Approach for Determining the Relationship Between Various Elongate Mineral Particles (EMPs) Definitions.
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用于确定各种细长矿物颗粒 (EMP) 定义之间关系的贝叶斯方法。

DOI:
10.1093/annweh/wxaa074
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发表时间:
2020
影响因子:
2.6
通讯作者:
Ramachandran,Gurumurthy
Ramachandran,Gurumurthy
中科院分区:
医学4区
文献类型:
--
作者:
Shao,Yuan;MacLehose,RichardF;Lin,Lifeng;Hwang,Jooyeon;Alexander,BruceH;Mandel,JeffreyH;Ramachandran,Gurumurthy

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已提出细长矿物颗粒(EMP)的各种尺寸(长度和宽度)与健康影响有关。在本文中,我们开发了一种数学方法,用于推导这些EMP暴露指标之间的数值转换因子(CF),并将其应用于明尼苏达州铁白云石卫生工作者的研究,其中包含196个不同的工作暴露组(28个类似的暴露组乘以7铁白云石矿)。该方法包括四个步骤:对于每个组,(i)使用ISO-TEM 10312/13794分析获得EMP尺寸信息;(ii)使用双变量对数正态分布表征总体EMP尺寸分布;(iii)使用贝叶斯方法促进双变量对数正态分布的形成;(iv)导出任何一对EMP定义之间的转换因子。最终的CF允许使用已经根据国家职业安全与健康研究所(NIOSH)定义的EMP暴露度量(长度>5 µm,纵横比≥3.0)表征的现有EMP暴露,为替代EMP度量创建工作暴露矩阵(JEM)。NIOSH EMP和其他EMP定义之间的关系提供了根据间皮瘤、肺癌和非恶性呼吸道疾病的流行病学研究中EMP的替代定义将工人分类为JEM的基础。
A variety of dimensions (lengths and widths) of elongate mineral particles (EMPs) have been proposed as being related to health effects. In this paper, we develop a mathematical approach for deriving numerical conversion factors (CFs) between these EMP exposure metrics and applied it to the Minnesota Taconite Health Worker study which contains 196 different job exposure groups (28 similar exposure groups times 7 taconite mines). This approach comprises four steps: for each group (i) obtain EMP dimension information using ISO-TEM 10312/13794 analysis; (ii) use bivariate lognormal distribution to characterize overall EMP size distribution; (iii) use a Bayesian approach to facilitate the formation of the bivariate lognormal distribution; (iv) derive conversion factors between any pair of EMP definitions. The final CFs allow the creation of job exposure matrices (JEMs) for alternative EMP metrics using existing EMP exposures already characterized according to the National Institute of Occupational Safety and Health (NIOSH)-defined EMP exposure metric (length >5 µm with an aspect ratio ≥3.0). The relationships between the NIOSH EMP and other EMP definitions provide the basis of classification of workers into JEMs based on alternate definitions of EMP for epidemiological studies of mesothelioma, lung cancer, and non-malignant respiratory disease.