[논문]건강보험 빅데이터를 통한 전체 근로자 및 공무원 근로자의 암 발생률 분석

백성욱; 이완형; 유기봉; 이우리; 이원태; 김민석; 임성실; 김지현; 최준혁; 이경은; 윤진하

doi:10.15269/jksoeh.2022.32.3.268

건강보험 빅데이터를 통한 전체 근로자 및 공무원 근로자의 암 발생률 분석
Analyzing Cancer Incidence among Korean Workers and Public Officials Using Big Data from National Health Insurance Service 원문보기

한국산업보건학회지 = Journal of Korean Society of Occupational and Environmental Hygiene, v.32 no.3, 2022년, pp.268 - 278

백성욱 (세브란스병원 직업환경의학과) , 이완형 (가천대학교 의과대학 길병원 직업환경의학과) , 유기봉 (연세대학교 보건과학대학 보건행정학과) , 이우리 (연세대학교 보건과학대학 보건행정학과) , 이원태 (세브란스병원 직업환경의학과) , 김민석 (세브란스병원 직업환경의학과) , 임성실 (세브란스병원 직업환경의학과) , 김지현 (연세대학교 일반대학원 보건학과) , 최준혁 (안전보건공단 산업안전보건연구원) , 이경은 (안전보건공단 산업안전보건연구원) , 윤진하 (연세대학교 의과대학 산업보건연구소)

Abstract ▼ AI-Helper

Objectives: This study aimed to establish a control group based on the big data from National Health Insurance Service. We also presented presented the number of incidences for each cancer, and analyzed the cancer incidence rate among Korean workers. Methods: The cohort definition was separated by 'baseline cohort', 'dynamic cohort', and 'fixed- industry cohort' according to the definition. Cancer incidence was calculated based on the Korean Standard Classification of Disease code. Incidence rate was calculated among the group of all workers and public officials. Based on the study subjects and each cohort definition, the number of observations, incidences, and the incidence rate according to sex and age groups was calculated. The incidence rate was estimated based on the incidence per 100,000 person-year, and 95% confidence intervals calculated according to the Poisson distribution. Results: The result shows that the number of cancer cases in the all-worker group decreases after the age of 55, but the incidence rate tends to increase, which is attributed to the retirement of workers over 55 years old. Despite the specific characteristics of the workers, the trend and figures of cancer incidence revealed in this study are similar to those reported in previous studies of the overall South Korean population. When comparing the incidence rates of all workers and the control group of public officials, the incidence rate of public officials is generally observed to be higher in the age group under the age of 55. On the other hand, for workers aged 60 or older, the incidence rates were 1,065.4 per 100,000 person-year for all workers and 1,023.7 per 100,000 person-year for civil servants. Conclusions: This study analyzed through health insurance data including all workers in Korea, and analyzed the incidence of cancer of workers by sex and age. In addition, further in-depth researches are needed to determine the incidence of cancer by industry.

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표/그림 (5)

표 Table 1. Baseline characteristics of study samples among total workers and public officials according to each cohort design
표 Table 2. Number of cases, observations, and incidence rate for all neoplasms combined (ICD code: C00-C97, D00-D09) among total workers in each cohort design [CI: confidence interval]
표 Table 3. Number of cases, observations, and incidence rate for all neoplasms combined (ICD code: C00-C97, D00-D09) among public officials in each cohort design [CI: confidence interval]
그림 Figure 1. Age-specific incidence rates of common cancers among male Korean workers (Incidence rate per 100,000 person-year)
그림 Figure 2. Age-specific incidence rates of common cancers among female Korean workers (Incidence rate per 100,000 person-year)

참고문헌 (23)

Choi BC. Definition, sources, magnitude, effect modifiers, and strategies of reduction of the healthy worker effect. J Occup Med 1992;34(10):979-88
Eguchi H, Wada K, Prieto-Merino D, Smith DR. Lung, gastric and colorectal cancer mortality by occupation and industry among working-aged men in Japan. Sci Rep 2017 Feb 23;7:43204 (https://doi.org/10.1038/srep43204)

상세보기
Gruber S, Kiesel M. Inequality in health care utilization in Germany? Theoretical and empirical evidence for specialist consultation. J public health 2010;18(4):351-65 (https://doi.org/10.1007/s10389-010-0321-2)

상세보기
ILO. Identification and recognition of occupational diseases: criteria for incorporating diseases in the ILO list of occupational diseases. Geneva; ILO.; 2009. p. 7
Kang MJ, Won YJ, Lee JJ, Jung KW, Kim HJ et al. Cancer atatistics in Korea: incidence, mortality, survival, and prevalence in 2019. Cancer Res Treat 2022;54(2): 330-344 (https://doi.org/10.4143/crt.2022.128)

상세보기
Kim K, Kim J. A work-relatedness assessment in epidemiological case investigation of occupational cancers: I. Principles. Ann Occup Environ Med 2020;32(1):e30 (https://doi.org/10.35371/aoem.2020.32.e30)

상세보기
Kirkeleit J, Riise T, Bjorge T, Christiani DC. The healthy worker effect in cancer incidence studies. Am J Epidemiol 2013;177(11):1218-24 (https://doi.org/10.1093/aje/kws373)

상세보기
Kweon SS. Updates on cancer epidemiology in Korea, 2018. Chonnam Med J 2018;54(2):90-100

상세보기
Lee HE, Zaitsu M, Kim EA, Kawachi I. Cancer incidence by occupation in Korea: Longitudinal analysis of a nationwide cohort Saf Health Work 2020;11(1): 41-49 (https://doi.org/110.1016/j.shaw.2019.12.004)

원문보기 상세보기
Lee SG, Kin EA, Lee KE, Um HS, Shin MY et al. Construction of Occupational Disease Cohort Using Big Data. Occupational Safety and Health Research Institute. 2018;p10. Available from: URL:https://kosha.or.kr/oshri/professionalBusiness/occupationalDiseaseReferenceRoom.do
Lee W, Kang MY, Kim J, Lim SS, Yoon JH. Cancer risk in road transportation workers: a national representative cohort study with 600,000 personyears of follow-up. Sci Rep 2020 Jul 9;10(1):11331 (https://doi.org/10.1038/s41598-020-68242-5)

상세보기
Lee W, Kang MY, Yoon JH. Cancer incidence among air transportation industry workers using the national cohort study of Korea. Int J Environ Res Public Health 2019 Aug 14;16(16):2906 (https://doi.org/10.3390/ijerph16162906)

상세보기
Lee W, Kim J, Lim SS, Kim Y, Ahn YS et al. External airborne-agent exposure increase risk of digestive tract Cancer. Sci Rep 2020 May 25;10(1):8617 (https://doi.org/10.1038/s41598-020-65312-6)

상세보기
Li CY, Sung FC. A review of the healthy worker effect in occupational epidemiology. Occup Med (Lond) 1999;49(4):225-9 (https://doi.org/10.4068/cmj.2018.54.2.90)

상세보기
Loomis D, Guha N, Hall AL, Straif K. Identifying occupational carcinogens: an update from the IARC Monographs. Occup Environ Med 2018;75(8): 593-603 (https://doi.org/110.1016/10.1136/oemed2017-104944)
National Health Insurance Service(NHIS). Population coverage. 2020. Available from: URL:https://www.nhis.or.kr/english/wbheaa02400m01.do
National Health Insurance Sharing Service(NHISS). Sample research DB: details of DB and cost. 2022. Available from: URL:https://nhiss.nhis.or.kr/bd/ab/bdaba 022eng.do
Nunan D, Aronson J, Bankhead C. Catalogue of bias: attrition bias. BMJ Evid Based Med 2018 Feb; 23(1):21-22. (https://doi.org/10.1136/ebmed-2017-110883)

상세보기
Purdue MP, Hutchings SJ, Rushton L, Silverman DT. The proportion of cancer attributable to occupational exposures. Ann Epidemiol 2015;25(3):188-192 (https://doi.org/10.1016/j.annepidem.2014.11.009)

상세보기
Robinson CF, Sullivan PA, Li J, Walker JT. Occupational lung cancer in US women, 1984-1998. Am J Ind Med 2011 Feb;54(2):102-17 (https://doi.org/10.1002/ajim.20905)

상세보기
Seong SC, Kim YY, Khang YH, Park JH, Kang HJ et al. Data resource profile: the national health information database of the National Health Insurance Service in South Korea. Int J Epidemiol 2017 Jun 1;46(3): 799-800 (https://doi.org/10.1093/ije/dyw253)

상세보기
Wang X, Kattan MW. Cohort studies: design, analysis, and reporting. Chest 2020 Jul;158(1S):S72-S78 (https://doi.org/10.1016/j.chest.2020.03.014)

상세보기
Williamson JM, Satten GA, Hanson JA, Weinstock H, Datta S. Analysis of dynamic cohort data. Am J Epidemiol 2001 Aug 15;154(4):366-72 (https://doi.org/10.1093/aje/154.4.366)

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건강보험 빅데이터를 통한 전체 근로자 및 공무원 근로자의 암 발생률 분석
Analyzing Cancer Incidence among Korean Workers and Public Officials Using Big Data from National Health Insurance Service 원문보기

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건강보험 빅데이터를 통한 전체 근로자 및 공무원 근로자의 암 발생률 분석 Analyzing Cancer Incidence among Korean Workers and Public Officials Using Big Data from National Health Insurance Service 원문보기

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Analyzing Cancer Incidence among Korean Workers and Public Officials Using Big Data from National Health Insurance Service 원문보기

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