Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea
10.1016/j.shaw.2021.07.008
- Author:
Dong-Hee KOH
1
;
Ju-Hyun PARK
;
Sang-Gil LEE
;
Hwan-Cheol KIM
;
Hyejung JUNG
;
Inah KIM
;
Sangjun CHOI
;
Donguk PARK
Author Information
1. Department of Occupational and Environmental Medicine, International St. Mary’s Hospital, Catholic Kwandong University, Incheon, Republic of Korea
- Publication Type:Original article
- From:Safety and Health at Work
2021;12(4):439-444
- CountryRepublic of Korea
- Language:English
-
Abstract:
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.
