KSPM
Search
- Page Path
- HOME > Search
Cohort Profile
- Etiome Study Using Molecular Epigenetic Markers and Lung Organoid in Korean School Meal Service Workers (Etiome Study in S-meal Workers): Study Protocol
- Sungji Moon, Soseul Sung, Sue K. Park
- J Prev Med Public Health. 2025;58(3):231-240. Published online April 10, 2025
- DOI: https://doi.org/10.3961/jpmph.25.020
- 5,843 View
- 423 Download
-
Abstract
Summary
PDF
Supplementary Material - School meal service workers may face an increased risk of lung cancer due to the nature of their work. This study aims to assess environmental exposure levels during occupational cooking among these workers in Seoul, Korea, and to examine the associations with carcinogen-associated biomarkers. Additionally, the study seeks to verify lung carcinogenesis through experiments using lung organoids treated with carcinogens, such as polycyclic aromatic hydrocarbons (PAHs) and particulate matter. Here, we introduce the study protocol and outline our research strategies. This etiome study employs molecular epidemiological approaches involving at least 200 school meal service workers from 25-30 school cafeterias in Seoul, as well as in vitro lung organoid experiments. The study includes a questionnaire survey to analyze workers’ occupational environments, focusing on exposure to hazardous substances such as cooking oil fumes and assessing the use of personal protective equipment (e.g., masks) and the presence of ventilation systems. We measure molecular epigenomic biomarkers, including PAH adducts and metabolites along with methylation markers, in the exposure and control groups. Additionally, lung organoid experiments are performed to investigate the potential for lung cancer development due to respiratory carcinogen exposure in cooks. This study is expected to contribute to health risk assessments and the establishment of preventive strategies for meal service workers.
-
SummaryKorean summary
조리업 종사자의 폐암 발생 위험도가 높다고 보고되지만 실제 발암 물질에 어느정도 노출되어 있는지 전 세계적으로 아직까지 밝혀진 바 없습니다. 본 연구는 서울시내 학교 조리업 종사자 모집과 발암물질 노출 마커 측정 대한 방법론적인 논문이며 향후 추적 관찰할 수 있는 코호트 연구에 대한 초석 역할을 합니다.Key Message
Although previous studies have reported an increased risk of lung cancer among cooking workers, the extent of their exposure to carcinogens has not yet been well characterized globally. This study presents the methodology for recruiting school cooking workers in Seoul and measuring biomarkers of carcinogen exposure. It serves as a foundational step toward establishing a prospective cohort for long-term follow-up.
Original Articles
- A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research
- Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park
- J Prev Med Public Health. 2024;57(5):499-507. Published online September 6, 2024
- DOI: https://doi.org/10.3961/jpmph.24.272
- 8,503 View
- 298 Download
- 12 Web of Science
- 13 Crossref
-
Abstract
Summary
PDFSupplementary Material
- Objectives
This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations.
Methods
A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations.
Results
No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs.
Conclusions
This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies. -
SummaryKorean summary
본 연구는 인구 기여 분율(PAF)의 95% 신뢰구간을 추정하는 데 있어 Delta, Greenland, Monte Carlo 방법을 비교하여 최적의 방법을 찾고, 주요 매개변수의 변화가 PAF 계산에 미치는 영향을 분석했음. Delta 방법은 상대적으로 낮은 유병률이나 위험도(RR)가 낮을 때 적합하며, Greenland 방법은 높은 유병률에서 효과적이고, Monte Carlo 방법은 전반적으로 안정적인 결과를 제공하지만, 많은 계산 자원이 필요할 수 있음.Key Message
This study compared Delta, Greenland, and Monte Carlo methods for calculating the 95% confidence intervals (CIs) of population-attributable fractions (PAFs). While all three methods demonstrated comparable performance under conditions of low prevalence or relative risk (RR), they diverged under other scenarios. The Delta method is effective for low-prevalence or minimal RR, Greenland for high-prevalence scenarios, and Monte Carlo is robust but computationally intensive. This research offers practical guidance for selecting the appropriate method based on study conditions, enhancing the reliability of epidemiological studies in estimating PAFs. -
Citations
Citations to this article as recorded by
- Estimating cannabis-attributable traffic fatalities: A response to Jin et al. (2025)
Russell S. Kamer, Stephen Warshafsky
International Journal of Drug Policy.2026; 148: 105110. CrossRef - Sugar rationing during the first 1000 days of life and lifelong risk of heart failure
Haoxian Tang, Xuan Zhang, Jingtao Huang, Xiaojing Chen, Jianan Hong, Hanyuan Lin, Cuihong Tian, Luo Nan, Mengyue Lin, Qinglong Yang, Shiwan Wu, Pan Chen, Jiasheng Wen, Liwen Jiang, Youti Zhang, Yali Wang, Xuerui Tan, Yequn Chen
Nature Communications.2026;[Epub] CrossRef - Comparing and validating different methods for olfactory threshold measurement in dogs
Connor T. Lambert, Glenna N. Cupp, Sarah A. Kane, Andrea C. Medrano, Paola A. Prada-Tiedemann, Edgar O. Aviles-Rosa, Nathaniel J. Hall
Behavioural Processes.2026; 236: 105343. CrossRef - Effect of PM2.5 and its constituents on hospital admissions for cardiometabolic multimorbidity in Urumqi, China
Di Wu, Cheng Li, Yu Shi, Junjie Han, Yaoqin Lu, Yilipa Yilihamu, Yanling Zheng, Liping Zhang
Scientific Reports.2025;[Epub] CrossRef - Cancer incidence attributable to dietary factors in Korea
Ji Hyun Kim, Minhee Cho, Jung Eun Lee, Jeongseon Kim
Journal of the Korean Medical Association.2025; 68(2): 108. CrossRef - Preventable Cancers Caused by Infection in Korea From 2015 to 2030
Sungji Moon, Jeoungbin Choi, Soseul Sung, Youjin Hong, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Seungho Ryu, Sun Ha Jee, Guen Hui Kim, Sun Young Yang, Aesun Shin, Sun-Seog Kweon, Jeongseon Kim, Jieun Jang, Sangjun Lee, Kyungsik Kim, Woojin Lim, Yoon-Jung Cho
Journal of Korean Medical Science.2025;[Epub] CrossRef - Etiome Study Using Molecular Epigenetic Markers and Lung Organoid in Korean School Meal Service Workers (Etiome Study in S-meal Workers): Study Protocol
Sungji Moon, Soseul Sung, Sue K. Park
Journal of Preventive Medicine and Public Health.2025; 58(3): 231. CrossRef - Fraction of Cancer Attributable to Carcinogenic Drugs in Korea from 2015 to 2030
Woojin Lim, Soseul Sung, Youjin Hong, Sungji Moon, Sangjun Lee, Kyungsik Kim, Jung Eun Lee, Inah Kim, Kwang-Pil Ko, Sue K. Park
Cancer Research and Treatment.2025; 57(3): 635. CrossRef - Estimating Variance of Log Standardized Incidence Ratios Assessing Health Care Providers’ Performance: Comparative Analysis Using Bayesian, Bootstrap, and Delta Method Approaches
Solomon Woldeyohannes, Yomei Jones, Paul Lawton
JMIRx Med.2025; 6: e77415. CrossRef - Preventable cancer cases and deaths attributable to tobacco smoking in Korea from 2015 to 2030
Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong
Epidemiology and Health.2025; 47: e2025008. CrossRef - Preventable cancer cases and deaths attributable to deficit of physical activity in Korea from 2015 to 2030
Soseul Sung, Sungji Moon, Jihye An, Jeehi Jung, Hyeon Sook Lee, Youjin Hong, Sangjun Lee, Woojin Lim, Kyungsik Kim, Inah Kim, Jung Eun Lee, Sun Ha Jee, Aesun Shin, Ji-Yeob Choi, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung
Epidemiology and Health.2025; 47: e2025010. CrossRef - Preventable cancer cases and deaths attributable to alcohol consumption in Korea from 2015 to 2030
Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong
Epidemiology and Health.2025; 47: e2025009. CrossRef - Fraction of cancer incidence and mortality attributable to dietary factors in Korea from 2015 to 2030
Hyun Jeong Cho, Jin Young Yoo, Ga-Eun Yie, An Na Kim, Soseul Sung, Sungji Moon, Youjin Hong, Sangjun Lee, Inah Kim, Kwang-Pil Ko, Sun-Seog Kweon, Jung Eun Lee, Sue K. Park
Epidemiology and Health.2025; 47: e2025065. CrossRef
- Estimating cannabis-attributable traffic fatalities: A response to Jin et al. (2025)
- Projection of Cancer Incidence and Mortality From 2020 to 2035 in the Korean Population Aged 20 Years and Older
- Youjin Hong, Sangjun Lee, Sungji Moon, Soseul Sung, Woojin Lim, Kyungsik Kim, Seokyung An, Jeoungbin Choi, Kwang-Pil Ko, Inah Kim, Jung Eun Lee, Sue K. Park
- J Prev Med Public Health. 2022;55(6):529-538. Published online October 17, 2022
- DOI: https://doi.org/10.3961/jpmph.22.128
- 19,663 View
- 267 Download
- 10 Crossref
-
Abstract
Summary
PDFSupplementary Material
- Objectives
This study aimed to identify the current patterns of cancer incidence and estimate the projected cancer incidence and mortality between 2020 and 2035 in Korea.
Methods
Data on cancer incidence cases were extracted from the Korean Statistical Information Service from 2000 to 2017, and data on cancer-related deaths were extracted from the National Cancer Center from 2000 to 2018. Cancer cases and deaths were classified according to the International Classification of Diseases, 10th edition. For the current patterns of cancer incidence, age-standardized incidence rates (ASIRs) and age-standardized mortality rates were investigated using the 2000 mid-year estimated population aged over 20 years and older. A joinpoint regression model was used to determine the 2020 to 2035 trends in cancer.
Results
Overall, cancer cases were predicted to increase from 265 299 in 2020 to 474 085 in 2035 (growth rate: 1.8%). The greatest increase in the ASIR was projected for prostate cancer among male (7.84 vs. 189.53 per 100 000 people) and breast cancer among female (34.17 vs. 238.45 per 100 000 people) from 2000 to 2035. Overall cancer deaths were projected to increase from 81 717 in 2020 to 95 845 in 2035 (average annual growth rate: 1.2%). Although most cancer mortality rates were projected to decrease, those of breast, pancreatic, and ovarian cancer among female were projected to increase until 2035.
Conclusions
These up-to-date projections of cancer incidence and mortality in the Korean population may be a significant resource for implementing cancer-related regulations or developing cancer treatments. -
SummaryKorean summary
최근 고령화 시대로 접어들고 암의 위험요인들에 대한 노출률이 변화함에 따라 암의 발생률 및 사망률에 대해서 관찰하는 것은 중요한 일이 되었다. 따라서, 본 연구는 한국인에서 2035년까지의 암에 대한 발생률과 사망률을 Joinpoint regression 모델을 이용하여 예측하였다. 남성에서는 전립선암, 여성에서는 유방암이 연령표준화 발생률이 가장 높았으며 대부분의 연령표준화 사망률은 감소하는 것으로 예상되지만 여성의 유방암, 췌장암, 난소암이 증가될 것으로 예상된다. -
Citations
Citations to this article as recorded by- Preventable Cancers Caused by Infection in Korea From 2015 to 2030
Sungji Moon, Jeoungbin Choi, Soseul Sung, Youjin Hong, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Seungho Ryu, Sun Ha Jee, Guen Hui Kim, Sun Young Yang, Aesun Shin, Sun-Seog Kweon, Jeongseon Kim, Jieun Jang, Sangjun Lee, Kyungsik Kim, Woojin Lim, Yoon-Jung Cho
Journal of Korean Medical Science.2025;[Epub] CrossRef - Fraction of Cancer Attributable to Carcinogenic Drugs in Korea from 2015 to 2030
Woojin Lim, Soseul Sung, Youjin Hong, Sungji Moon, Sangjun Lee, Kyungsik Kim, Jung Eun Lee, Inah Kim, Kwang-Pil Ko, Sue K. Park
Cancer Research and Treatment.2025; 57(3): 635. CrossRef - Preventable cancer cases and deaths attributable to tobacco smoking in Korea from 2015 to 2030
Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong
Epidemiology and Health.2025; 47: e2025008. CrossRef - Preventable cancer cases and deaths attributable to alcohol consumption in Korea from 2015 to 2030
Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong
Epidemiology and Health.2025; 47: e2025009. CrossRef - Preventable cancer cases and deaths attributable to deficit of physical activity in Korea from 2015 to 2030
Soseul Sung, Sungji Moon, Jihye An, Jeehi Jung, Hyeon Sook Lee, Youjin Hong, Sangjun Lee, Woojin Lim, Kyungsik Kim, Inah Kim, Jung Eun Lee, Sun Ha Jee, Aesun Shin, Ji-Yeob Choi, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung
Epidemiology and Health.2025; 47: e2025010. CrossRef - Fraction of cancer incidence and mortality attributable to dietary factors in Korea from 2015 to 2030
Hyun Jeong Cho, Jin Young Yoo, Ga-Eun Yie, An Na Kim, Soseul Sung, Sungji Moon, Youjin Hong, Sangjun Lee, Inah Kim, Kwang-Pil Ko, Sun-Seog Kweon, Jung Eun Lee, Sue K. Park
Epidemiology and Health.2025; 47: e2025065. CrossRef - A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research
Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park
Journal of Preventive Medicine and Public Health.2024; 57(5): 499. CrossRef - Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030
Youjin Hong, Jihye An, Jeehi Jung, Hyeon Sook Lee, Soseul Sung, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Cho
Endocrinology and Metabolism.2024; 39(6): 921. CrossRef - A Machine Learning Model for Prostate Cancer Prediction in Korean Men
Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim
Journal of Urologic Oncology.2024; 22(3): 201. CrossRef - Changes in metabolic syndrome and the risk of breast and endometrial cancer according to menopause in Korean women
Thi Xuan Mai Tran, Soyeoun Kim, Boyoung Park
Epidemiology and Health.2023; 45: e2023049. CrossRef
- Preventable Cancers Caused by Infection in Korea From 2015 to 2030
First
Prev
