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A Pilot Establishment of the Job-Exposure Matrix of Lead Using the Standard Process Code of Nationwide Exposure Databases in Korea

  • Ju-Hyun Park (Department of Statistics, Dongguk University) ;
  • Sangjun Choi (Graduate School of Public Health and Healthcare Management, The Catholic University of Korea) ;
  • Dong-Hee Koh (Department of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University) ;
  • Dae Sung Lim (Hansung Health and Safety Technology Co., Ltd.) ;
  • Donguk Park (Department of Environmental Health, Korea National Open University) ;
  • Hwan-Cheol Kim (Department of Occupational and Environmental Medicine, Inha University) ;
  • Sang-Gil Lee (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency) ;
  • Jihye Lee (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency) ;
  • Ji Seon Lim (Department of Statistics, Dongguk University) ;
  • Yeji Sung (Graduate School of Public Health and Healthcare Management, The Catholic University of Korea) ;
  • Kyoung Yoon Ko (Graduate School of Public Health and Healthcare Management, The Catholic University of Korea)
  • 투고 : 2022.01.04
  • 심사 : 2022.09.01
  • 발행 : 2022.12.30

초록

Background: The purpose of this study is to construct a job-exposure matrix for lead that accounts for industry and work processes within industries using a nationwide exposure database. Methods: We used the work environment measurement data (WEMD) of lead monitored nationwide from 2015 to 2016. Industrial hygienists standardized the work process codes in the database to 37 standard process and extracted key index words for each process. A total of 37 standardized process codes were allocated to each measurement based on an automated key word search based on the degree of agreement between the measurement information and the standard process index. Summary statistics, including the arithmetic mean, geometric mean, and 95th percentile level (X95), was calculated according to industry, process, and industry process. Using statistical parameters of contrast and precision, we compared the similarity of exposure groups by industry, process, and industry process. Results: The exposure intensity of lead was estimated for 583 exposure groups combined with 128 industry and 35 process. The X95 value of the "casting" process of the "manufacture of basic precious and non-ferrous metals" industry was 53.29 ㎍/m3, exceeding the occupational exposure limit of 50 ㎍/m3. Regardless of the limitation of the minimum number of samples in the exposure group, higher contrast was observed when the exposure groups were by industry process than by industry or process. Conclusion: We evaluated the exposure intensities of lead by combination of industry and process. The results will be helpful in determining more accurate information regarding exposure in lead-related epidemiological studies.

키워드

과제정보

This study was supported by the Occupational Safety and Health Research Institute grant (2021-OSHRI-795) funded by the Republic of Korea Occupational Safety and Health Agency and by the research program of Dongguk University, 2020 (JHP).

참고문헌

  1. Stamm R. MEGA-database: one million data since 1972. Appl Occup Environ Hyg 2001;16(2):159-63. https://doi.org/10.1080/104732201460262.
  2. Gabriel S. The BG measurement system for hazardous substances (BGMG) and the exposure database of hazardous substances (MEGA). Int J Occup Saf Ergon 2006;12(1):101-4. https://doi.org/10.1080/10803548.2006.11076673.
  3. Vincent R, Jeandel B. COLCHIC-occupational exposure to chemical agents database: current content and development perspectives. Appl Occup Environ Hyg 2001 Feb;16(2):115-21. https://doi.org/10.1080/104732201460190.
  4. Park HD, Chung EK, Kim K. The quality control program for industrial hygiene laboratories in Korea. Saf Health Work 2017;8(3):322-6. https://doi.org/10.1016/j.shaw.2017.08.003.
  5. Choi S, Kang D, Park D, Lee H, Choi B. Developing asbestos job exposure matrix using occupation and industry specific exposure data (1984-2008) in Republic of Korea. Saf Health Work 2017;8(1):105-15. https://doi.org/10.1016/j.shaw.2016.09.002.
  6. Koh DH, Jeon HK, Lee SG, Ryu HW. The relationship between low-level benzene exposure and blood cell counts in Korean workers. Occup Environ Med 2015;72(6):421-7. https://doi.org/10.1136/oemed-2014-102227.
  7. Koh DH, Park JH, Lee SG, Kim HC, Choi S, Jung H, Park DU. Combining lead exposure measurements and experts' judgment through a bayesian framework. Ann Work Expo Health 2017;61(9):1054-75. https://doi.org/10.1093/annweh/wxx072.
  8. Koh DH, Park JH, Lee SG, Kim HC, Choi S, Jung H, Park JO, Park DU. Estimation of lead exposure prevalence in Korean population through combining multiple experts' judgment based on objective data sources. Ann Work Expo Health 2018;62(2):210-20. https://doi.org/10.1093/annweh/wxx106.
  9. Koh DH, Park JH, Lee SG, Kim HC, Jung H, Kim I, Choi S, Park D. Estimation of lead exposure intensity by industry using nationwide exposure databases in Korea. Saf Health Work 2021;12(4):439-44. https://doi.org/10.1016/j.shaw.2021.07.008.
  10. Koh DH, Park JH, Lee SG, Kim HC, Choi S, Jung H, Kim I, Park D. Development of Korean CARcinogen EXposure: an initiative of the occupational carcinogen surveillance system in Korea. Ann Work Expo Health 2021;65(5):528-38. https://doi.org/10.1093/annweh/wxaa135.
  11. Chung E, Ha K. Development of occupational and industrial health guide and occupational health summary for manufacturing plant. Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency; 2018.
  12. Kromhout H, Heederik D. Occupational epidemiology in the rubber industry: implications of exposure variability. Am J Ind Med 1995;27(2):171-85. https://doi.org/10.1002/ajim.4700270203.
  13. Park JY, Ramachandran G, Raynor PC, Eberly LE, Olson Jr G. Comparing exposure zones by different exposure metrics using statistical parameters: contrast and precision. Ann Occup Hyg 2010;54(7):799-812. https://doi.org/10.1093/annhyg/meq043.
  14. 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
  15. NIOSH. LEAD by flame AAS METHOD 7082. In: NIOSH manual of analytical methods. 4th ed. Washington, D.C: National Institute of Occupational Safety and Helath; 2003. U.S. Government Printing Office.
  16. R Core Team. R. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2021. URL, https://www.R-project.org/.
  17. Koh DH, Locke SJ, Chen YC, Purdue MP, Friesen MC. Lead exposure in US worksites: a literature review and development of an occupational lead exposure database from the published literature. Am J Ind Med 2015;58(6):605-16. https://doi.org/10.1002/ajim.22448.
  18. Dickerson AS, Hansen J, Specht AJ, Gredal O, Weisskopf MG. Population-based study of amyotrophic lateral sclerosis and occupational lead exposure in Denmark. Occup Environ Med 2019;76(4):208-14. https://doi.org/10.1136/oemed-2018-105469.
  19. Cocco P, Dosemeci M, Heineman EF. Brain cancer and occupational exposure to lead. J Occup Environ Med 1998;40(11):937-42. https://doi.org/10.1097/00043764-199811000-00001.
  20. van Wijngaarden E, Dosemeci M. Brain cancer mortality and potential occupational exposure to lead: findings from the national longitudinal mortality study, 1979-1989. Int J Cancer 2006;119(5):1136-44. https://doi.org/10.1002/ijc.21947. Erratum in: Int J Cancer. 2007 Aug 1;121(3):698.
  21. Koh DH, Bhatti P, Coble JB, Stewart PA, Lu W, Shu XO, Ji BT, Xue S, Locke SJ, Portengen L, Yang G, Chow WH, Gao YT, Rothman N, Vermeulen R, Friesen MC. Calibrating a population-based job-exposure matrix using inspection measurements to estimate historical occupational exposure to lead for a population-based cohort in Shanghai, China. J Expo Sci Environ Epidemiol 2014;24(1):9-16. https://doi.org/10.1038/jes.2012.86.
  22. Siemiatycki J, Lavoue J. Availability of a new job-exposure matrix (CANJEM) for epidemiologic and occupational medicine purposes. J Occup Environ Med 2018;60(7):e324-8. https://doi.org/10.1097/JOM.0000000000001335.
  23. Park JH, Choi S, Koh DH, Park DU, Sung Y. A comparison of analysis methods for work environment measurement databases including left-censored data. J Korean Soc Occup Environ Hyg 2022;32(1):21-30. https://doi.org/10.15269/JKSOEH.2022.32.1.21.