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Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea
The major purpose of this study is to construct a retrospective exposure assessment for benzene through a review of literature on Korea. Airborne benzene measurements reported in 34 articles were reviewed. A total of 15,729 individual measurements were compiled. Weighted arithmetic means [AM(w)] and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Occupational Safety and Health Research Institute
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674490/ https://www.ncbi.nlm.nih.gov/pubmed/26929825 http://dx.doi.org/10.1016/j.shaw.2015.07.007 |
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author | Park, Donguk Choi, Sangjun Ha, Kwonchul Jung, Hyejung Yoon, Chungsik Koh, Dong-Hee Ryu, Seunghun Kim, Soogeun Kang, Dongmug Yoo, Kyemook |
author_facet | Park, Donguk Choi, Sangjun Ha, Kwonchul Jung, Hyejung Yoon, Chungsik Koh, Dong-Hee Ryu, Seunghun Kim, Soogeun Kang, Dongmug Yoo, Kyemook |
author_sort | Park, Donguk |
collection | PubMed |
description | The major purpose of this study is to construct a retrospective exposure assessment for benzene through a review of literature on Korea. Airborne benzene measurements reported in 34 articles were reviewed. A total of 15,729 individual measurements were compiled. Weighted arithmetic means [AM(w)] and their variance calculated across studies were summarized according to 5-year period intervals (prior to the 1970s through the 2010s) and industry type. Industries were classified according to Korea Standard Industrial Classification (KSIC) using information provided in the literature. We estimated quantitative retrospective exposure to benzene for each cell in the matrix through a combination of time and KSIC. Analysis of the AM(w) indicated reductions in exposure levels over time, regardless of industry, with mean levels prior to the 1980–1984 period of 50.4 ppm (n = 2,289), which dropped to 2.8 ppm (n = 305) in the 1990–1994 period, and to 0.1 ppm (n = 294) in the 1995–1999 period. There has been no improvement since the 2000s, when the AM(w) of 4.3 ppm (n = 6,211) for the 2005–2009 period and 4.5 ppm (n = 3,358) for the 2010–2013 period were estimated. A comparison by industry found no consistent patterns in the measurement results. Our estimated benzene measurements can be used to determine not only the possibility of retrospective exposure to benzene, but also to estimate the level of quantitative or semiquantitative retrospective exposure to benzene. |
format | Online Article Text |
id | pubmed-4674490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Occupational Safety and Health Research Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-46744902016-02-29 Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea Park, Donguk Choi, Sangjun Ha, Kwonchul Jung, Hyejung Yoon, Chungsik Koh, Dong-Hee Ryu, Seunghun Kim, Soogeun Kang, Dongmug Yoo, Kyemook Saf Health Work Review Article The major purpose of this study is to construct a retrospective exposure assessment for benzene through a review of literature on Korea. Airborne benzene measurements reported in 34 articles were reviewed. A total of 15,729 individual measurements were compiled. Weighted arithmetic means [AM(w)] and their variance calculated across studies were summarized according to 5-year period intervals (prior to the 1970s through the 2010s) and industry type. Industries were classified according to Korea Standard Industrial Classification (KSIC) using information provided in the literature. We estimated quantitative retrospective exposure to benzene for each cell in the matrix through a combination of time and KSIC. Analysis of the AM(w) indicated reductions in exposure levels over time, regardless of industry, with mean levels prior to the 1980–1984 period of 50.4 ppm (n = 2,289), which dropped to 2.8 ppm (n = 305) in the 1990–1994 period, and to 0.1 ppm (n = 294) in the 1995–1999 period. There has been no improvement since the 2000s, when the AM(w) of 4.3 ppm (n = 6,211) for the 2005–2009 period and 4.5 ppm (n = 3,358) for the 2010–2013 period were estimated. A comparison by industry found no consistent patterns in the measurement results. Our estimated benzene measurements can be used to determine not only the possibility of retrospective exposure to benzene, but also to estimate the level of quantitative or semiquantitative retrospective exposure to benzene. Occupational Safety and Health Research Institute 2015-09 2015-08-05 /pmc/articles/PMC4674490/ /pubmed/26929825 http://dx.doi.org/10.1016/j.shaw.2015.07.007 Text en Copyright © 2015, Occupational Safety and Health Research Institute. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Park, Donguk Choi, Sangjun Ha, Kwonchul Jung, Hyejung Yoon, Chungsik Koh, Dong-Hee Ryu, Seunghun Kim, Soogeun Kang, Dongmug Yoo, Kyemook Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title | Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title_full | Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title_fullStr | Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title_full_unstemmed | Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title_short | Estimating Benzene Exposure Level over Time and by Industry Type through a Review of Literature on Korea |
title_sort | estimating benzene exposure level over time and by industry type through a review of literature on korea |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674490/ https://www.ncbi.nlm.nih.gov/pubmed/26929825 http://dx.doi.org/10.1016/j.shaw.2015.07.007 |
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