Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea

Background: In a previous study, we estimated exposure prevalence and the number of workers exposed to carcinogens by industry in Korea. The present study aimed to evaluate the optimal exposure intensity indicators of airborne lead exposure by comparing to blood lead measurements for the future deve...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Dong-Hee Koh, Ju-Hyun Park, Sang-Gil Lee, Hwan-Cheol Kim, Hyejung Jung, Inah Kim, Sangjun Choi, Donguk Park
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/798af7263bb24fd1aa06a23287ea7a2a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:798af7263bb24fd1aa06a23287ea7a2a
record_format dspace
spelling oai:doaj.org-article:798af7263bb24fd1aa06a23287ea7a2a2021-11-30T04:15:36ZEstimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea2093-791110.1016/j.shaw.2021.07.008https://doaj.org/article/798af7263bb24fd1aa06a23287ea7a2a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000615https://doaj.org/toc/2093-7911Background: In a previous study, we estimated exposure prevalence and the number of workers exposed to carcinogens by industry in Korea. The present study aimed to evaluate the optimal exposure intensity indicators of airborne lead exposure by comparing to blood lead measurements for the future development of the carcinogen exposure intensity database. Methods: Data concerning airborne lead measurements and blood lead levels were collected from nationwide occupational exposure databases, compiled between 2015 and 2016. Summary statistics, including the arithmetic mean (AM), geometric mean (GM), and 95th percentile level (X95) were calculated by industry both for airborne lead and blood lead measurements. Since many measurements were below the limits of detection (LODs), the simple replacement with half of the LOD and maximum likelihood estimation (MLE) methods were used for statistical analysis. For examining the optimal exposure indicator of airborne lead exposure, blood lead levels were used as reference data for subsequent rank correlation analyses. Results: A total of 19,637 airborne lead measurements and 32,848 blood lead measurements were used. In general, simple replacement showed a higher correlation than MLE. The results showed that AM and X95 using simple replacement could be used as optimal exposure intensity indicators, while X95 showed better correlations than AM in industries with 20 or more measurements. Conclusion: Our results showed that AM or X95 could be potential candidates for exposure intensity indicators in the Korean carcinogen exposure database. Especially, X95 is an optimal indicator where there are enough measurements to compute X95 values.Dong-Hee KohJu-Hyun ParkSang-Gil LeeHwan-Cheol KimHyejung JungInah KimSangjun ChoiDonguk ParkElsevierarticleCancerCarcinogenExposureOccupational cancerOccupational exposurePublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 439-444 (2021)
institution DOAJ
collection DOAJ
language EN
topic Cancer
Carcinogen
Exposure
Occupational cancer
Occupational exposure
Public aspects of medicine
RA1-1270
spellingShingle Cancer
Carcinogen
Exposure
Occupational cancer
Occupational exposure
Public aspects of medicine
RA1-1270
Dong-Hee Koh
Ju-Hyun Park
Sang-Gil Lee
Hwan-Cheol Kim
Hyejung Jung
Inah Kim
Sangjun Choi
Donguk Park
Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
description Background: In a previous study, we estimated exposure prevalence and the number of workers exposed to carcinogens by industry in Korea. The present study aimed to evaluate the optimal exposure intensity indicators of airborne lead exposure by comparing to blood lead measurements for the future development of the carcinogen exposure intensity database. Methods: Data concerning airborne lead measurements and blood lead levels were collected from nationwide occupational exposure databases, compiled between 2015 and 2016. Summary statistics, including the arithmetic mean (AM), geometric mean (GM), and 95th percentile level (X95) were calculated by industry both for airborne lead and blood lead measurements. Since many measurements were below the limits of detection (LODs), the simple replacement with half of the LOD and maximum likelihood estimation (MLE) methods were used for statistical analysis. For examining the optimal exposure indicator of airborne lead exposure, blood lead levels were used as reference data for subsequent rank correlation analyses. Results: A total of 19,637 airborne lead measurements and 32,848 blood lead measurements were used. In general, simple replacement showed a higher correlation than MLE. The results showed that AM and X95 using simple replacement could be used as optimal exposure intensity indicators, while X95 showed better correlations than AM in industries with 20 or more measurements. Conclusion: Our results showed that AM or X95 could be potential candidates for exposure intensity indicators in the Korean carcinogen exposure database. Especially, X95 is an optimal indicator where there are enough measurements to compute X95 values.
format article
author Dong-Hee Koh
Ju-Hyun Park
Sang-Gil Lee
Hwan-Cheol Kim
Hyejung Jung
Inah Kim
Sangjun Choi
Donguk Park
author_facet Dong-Hee Koh
Ju-Hyun Park
Sang-Gil Lee
Hwan-Cheol Kim
Hyejung Jung
Inah Kim
Sangjun Choi
Donguk Park
author_sort Dong-Hee Koh
title Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
title_short Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
title_full Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
title_fullStr Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
title_full_unstemmed Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
title_sort estimation of lead exposure intensity by industry using nationwide exposure databases in korea
publisher Elsevier
publishDate 2021
url https://doaj.org/article/798af7263bb24fd1aa06a23287ea7a2a
work_keys_str_mv AT dongheekoh estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT juhyunpark estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT sanggillee estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT hwancheolkim estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT hyejungjung estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT inahkim estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT sangjunchoi estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
AT dongukpark estimationofleadexposureintensitybyindustryusingnationwideexposuredatabasesinkorea
_version_ 1718406812909174784