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

  • Koh, Dong-Hee (Department of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University) ;
  • Park, Ju-Hyun (Department of Statistics, Dongguk University) ;
  • Lee, Sang-Gil (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency) ;
  • Kim, Hwan-Cheol (Department of Occupational and Environmental Medicine, Inha University) ;
  • Jung, Hyejung (Department of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University) ;
  • Kim, Inah (Department of Occupational and Environmental Medicine, College of Medicine, Hanyang University) ;
  • Choi, Sangjun (Department of Preventive Medicine, College of Medicine, The Catholic University of Korea) ;
  • Park, Donguk (Department of Environmental Health, Korea National Open University)
  • Received : 2021.03.12
  • Accepted : 2021.07.12
  • Published : 2021.12.30

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.

Keywords

Acknowledgement

This study was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (grant number 2017R1D1A1B04032379). This study was also supported by the Occupational Safety and Health Research Institute grant (2020-OSHRI-845) funded by Korea Occupational Safety and Health Agency.

References

  1. Naghavi M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a Systematic Analysis for the Global Burden of Disease Study 2016. Lancet 2017;390:1151-210. https://doi.org/10.1016/S0140-6736(17)32152-9
  2. Anttila SL, Boffetta P. Occupational cancers. 2nd ed. Cham: Springer; 2020.
  3. Doll R, Peto R. The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. J Natl Canc Inst 1981;66:1191-308.
  4. ACGIH. Lead and inorganic compounds BEI. In: ACGIH, editor. Documentation of threshold limit values and biological exposure indices. 7th ed. Cincinnati, OH: ACGIH; 2001.
  5. Rushton L, Hutchings SJ, Fortunato L, Young C, Evans GS, Brown T, et al. Occupational cancer burden in Great Britain. Br J Canc 2012;107(Suppl. 1):S3-7. https://doi.org/10.1038/bjc.2012.112
  6. Kauppinen T, Toikkanen J, Pukkala E. From cross-tabulations to multipurpose exposure information systems: a new job-exposure matrix. Am J Ind Med 1998;33:409-17. https://doi.org/10.1002/(SICI)1097-0274(199804)33:4<409::AID-AJIM12>3.0.CO;2-2
  7. Kauppinen T, Toikkanen J, Pedersen D, Young R, Ahrens W, Boffetta P, et al. Occupational exposure to carcinogens in the European Union. Occup Environ Med 2000;57:10-8. https://doi.org/10.1136/oem.57.1.10
  8. Peters CE, Ge CB, Hall AL, Davies HW, Demers PA. CAREX Canada: an enhanced model for assessing occupational carcinogen exposure. Occup Environ Med 2015;72:64-71. https://doi.org/10.1136/oemed-2014-102286
  9. Koh D-H, Park J-H, Lee S-G, Kim H-C, Choi S, Jung H, et al. Development of Korean CARcinogen EXposure: an initiative of the occupational carcinogen surveillance system in Korea. Ann Work Expos Health 2021;65:528-38. https://doi.org/10.1093/annweh/wxaa135
  10. Symanski E, Greeson NMH, Chan W. Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Am J Ind Med 2007;50:112-21. https://doi.org/10.1002/ajim.20422
  11. IARC. IARC monographs on the evaluation of the carcinogenic risk to humans. In: Inorganic and organic lead compounds. Lyon: international agency for Research on cancer, vol. 87; 2006.
  12. Paik NW, Levine SP, Schork A. Development and application of a quality control program for industrial hygiene laboratories in Korea. Appl Occup Environ Hyg 1997;12:46-53. https://doi.org/10.1080/1047322X.1997.10389455
  13. Koh DH, Park JH, Lee SG, Kim HC, Choi S, Jung H, et al. Combining lead exposure measurements and experts' judgment through a Bayesian framework. Ann Work Expos Health 2017;61:1054-75. https://doi.org/10.1093/annweh/wxx072
  14. Koh DH, Park JH, Lee SG, Kim HC, Choi S, Jung H, et al. Estimation of lead exposure prevalence in Korean population through combining multiple experts' judgment based on objective data sources. Ann Work Expos Health 2018;62:210-20. https://doi.org/10.1093/annweh/wxx106
  15. NIOSH. LEAD by flame AAS METHOD 7082. In: NIOSH manual of analytical methods. 4th ed. National Institute of Occupational Safety and Helath. Washington, D.C: U.S. Government Printing Office; 2003.
  16. NIOSH. LEAD in blood and urine 8003. In: NIOSH manual of analytical methods. 4th ed. National Institute of Occupational Safety and Helath. Washington, D.C: U.S. Government Printing Office; 2003.
  17. Millard SP. EnvStats, an R package for environmental statistics. Wiley StatsRef: Statistics Reference Online; 2014.
  18. R Core Team. R. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2020. http://www.Rproject.org/.
  19. ACGIH. 2019 TLVs and BEIs. Cincinnati, OH: American Conference of Governmental Industrial Hygienists; 2019.
  20. Hornung RW, Reed LD. Estimation of average concentration in the presence of nondetectable values. Appl Occup Environ Hyg 1990;5:46-51. https://doi.org/10.1080/1047322X.1990.10389587
  21. Hewett P, Ganser GH. A comparison of several methods for analyzing censored data. Ann Occup Hyg 2007;51:611-32. https://doi.org/10.1093/annhyg/mem045
  22. GBD 2016 Occupational Carcinogens Collaborators. Global and regional burden of cancer in 2016 arising from occupational exposure to selected carcinogens: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med 2020;77:151. https://doi.org/10.1136/oemed-2019-106012
  23. European Food Safety Authority. Management of left-censored data in dietary exposure assessment of chemical substances. EFSA Journal 2010;8:1557.
  24. Jahn SD, Bullock W, Ignacio JS. A strategy for assessing and managing occupational exposures. 4th ed. AIHA.; 2015.
  25. Rappaport SM, Kupper LL. Quantitative exposure assessment. El Cerrito, CA: Stephen Rappaport; 2008.
  26. Akoglu H.User's guide to correlationcoefficients. Turk J EmergMed 2018;18:91-3. https://doi.org/10.1016/j.tjem.2018.08.001
  27. NIOSH. Elements by ICP METHOD 7300. In: NIOSH manual of analytical methods. 4th ed. National Institute of Occupational Safety and Helath. Washington, D.C: U.S. Government Printing Office; 2003.