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.
复制标题
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
复制
发表时间:
2020
影响因子:
2.6
通讯作者:
Ramachandran,Gurumurthy
中科院分区:
文献类型:
--
作者:
Shao,Yuan;MacLehose,RichardF;Lin,Lifeng;Hwang,Jooyeon;Alexander,BruceH;Mandel,JeffreyH;Ramachandran,Gurumurthy
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.