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Brief Communication
A comparison of meta-analysis results with and without adjustment for the healthy worker effect: cancer mortality among workers in the semiconductor industry
Sung-Ho Hwang, Moon-Young Park, Won Jin Lee, Inho Park, Kimyong Hong, Donguk Park, Kyoung-Mu Lee
Epidemiol Health. 2021;43:e2021057.   Published online September 8, 2021
DOI: https://doi.org/10.4178/epih.e2021057
  • 7,900 View
  • 192 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
This study compared the results of meta-analysis with and without adjustment for the healthy worker effect on the association between working in the semiconductor industry and cancer mortality.
METHODS
Six studies that reported standardized mortality ratios (SMRs) for cancers were selected for meta-analysis. Using a random-effects model, the SMR results from each study were combined for all cancers and leukemias to estimate the summary SMRs (95% confidence interval, CI). To adjust for the healthy worker effect, the relative standardized mortality ratio (rSMR=SMR<sub>x</sub>/SMR<sub>not x</sub>) were calculated using observed and expected counts for the specific cause of interest (i.e., all cancers and leukemias) and the observed and expected counts for all other causes of mortality. Then, the rSMR results were combined to estimate the summary rSMRs (95% CIs).
RESULTS
The SMRs for all causes of mortality among semiconductor industry workers ranged from 0.25 to 0.80, which reflects a significant healthy worker effect. A remarkable difference was found between the summary SMRs and the summary rSMRs. The summary SMR for all cancers was 0.70 (95% CI, 0.63 to 0.79) whereas the summary rSMR was 1.38 (95% CI, 1.20 to 1.59). The summary SMR for leukemia was 0.88 (95% CI, 0.72 to 1.07), and the summary rSMR was 1.88 (95% CI, 1.20 to 2.95).
CONCLUSIONS
Our results suggest that adjustment for the healthy worker effect (i.e., rSMR) may be useful in meta-analyses of cohort studies reporting SMRs.
Summary
Korean summary
본 연구에서는 반도체 근로자의 암사망률을 일반 인구와 비교하여 표준화사망비(SMR)를 제시한 연구를 대상으로 한 메타분석에서, summary SMR값(95% CI)과 건강근로자효과에 대해 보정한 rSMR을 산출한 후 종합한 summary rSMR값(95% CI)을 비교하였다. 모든 암의 경우 summary SMR=0.70 (0.63-0.79), summary rSMR=1.38(1.20-1.59)로 나타났으며, 백혈병의 경우 summary SMR=0.88 (0.72-1.07), summary rSMR=1.88(1.20-2.95)로 나타났다. 본 연구결과는 SMR 연구를 종합하는 메타분석 연구에서 rSMR과 같은 건강근로자효과에 대해 보정하는 방법론을 적용할 수 있음을 보여주는 사례이다.
Key Message
The relevance of epidemiological research reporting the standardized mortality ratios (SMRs) for workers in the semiconductor industry is often limited by the healthy worker effect. One of the simple correction methods in the relative standardized mortality ratio (rSMR). We observed significant rightward shift when the summary rSMRs were compared with the summary rSMRs, which suggest that adjustment for the healthy worker effect (i.e., rSMR) may be useful in meta-analyses of cohort studies reporting SMRs.

Citations

Citations to this article as recorded by  
  • Health risks, emergency preparedness and Norwegian-Russian cooperation on Svalbard. A systematic review
    Turid Austin Wæhler, Tor Ingebrigtsen
    International Journal of Circumpolar Health.2022;[Epub]     CrossRef
Editorial
Lessons from radiation epidemiology
Won Jin Lee
Epidemiol Health. 2018;40:e2018057.   Published online November 14, 2018
DOI: https://doi.org/10.4178/epih.e2018057
  • 13,396 View
  • 152 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
Radiation epidemiology has developed as a specialized field and has unique characteristics compared to the other fields of epidemiology. Radiation exposure assessment is highly quantified and health risk assessment can yield precise risks per unit dose in each organ. At the same time, radiation epidemiology also emphasizes the uncertainty of the estimated doses and risks. More radiation epidemiologists work in radiation societies rather than those of epidemiology. This specialization deepens the research of radiation studies but also results in fragmentation from general epidemiology. In addition to continued involvement with radiation-related sciences, therefore, more efforts to communicate with the other fields of epidemiology are necessary for radiation epidemiology.
Summary
Korean summary
방사선 역학은 역학의 세부 전공분야로서 다른 역학 분야와 구별되는 특성들이 있다. 노출 및 건강영향 평가에서의 정량화된 접근방법을 비롯하여 방사선 역학의 많은 장점들은 다른 역학분야에서도 응용될 필요가 있다. 이러한 전문화는 역학 연구의 내용을 깊게 발전시키는데 큰 역할을 하고 있는 반면, 일반 역학 분야와 분열되는 단점도 있다. 따라서 기존 방사선 관련 학문들과의 지속적인 교류뿐 아니라 다른 역학분야와의 활발한 교류를 통해 방사선 역학 및 전체 역학분야를 발전시키는 것이 중요하다.

Citations

Citations to this article as recorded by  
  • On the use of free code tools to simulate the propagation of radiation following dirty bomb explosions in sensible contexts
    Riccardo Quaranta, Gian Marco Ludovici, Guglielmo Manenti, Pasqualino Gaudio, Andrea Malizia, A. Lyoussi, F. D’Errico, M. Carette, M. Joyce, R. Hodák, I. Jenčič, P. Le Dû, M. Morichi, S. Pospíšil, C. Reynard-Carette, L. Snoj, L. Vermeeren
    EPJ Web of Conferences.2023; 288: 06009.     CrossRef
  • The expression profile of redox genes in human monocytes exposed in vitro to γ radiation
    Gina Manda, Cristian Postolache, Ionela Victoria Neagoe, Andreea Csolti, Elena Milanesi, Maria Dobre
    Radiation Physics and Chemistry.2020; 170: 108634.     CrossRef
Original Article
Current Status of Multicenter Cancer Cohort Study with Biological Materials Bank in Korea.
Keun Young Yoo, Hai Rim Shin, Song Hun Chang, Jung Myung Choi, Chang Yup Kim, Kun Sei Lee, Won Jin Lee, Dae Hee Kang, Bu Ok Lee, Duck Hee Lee, Sue Kyung Park, Joo Hon Sung, Yeong Su Ju, Dae Sung Kim, Jong Won Kang, Soo Hun Cho
Korean J Epidemiol. 1998;20(2):275-278.
  • 5,610 View
  • 10 Download
AbstractAbstract PDF
Abstract
This cohort study is a collaborative effort of 8 institutions. The goal is to establish a large scale cohort that can be followed for 10 or more years to assess the relationship between life-styles and cancer occurrence, and to evaluate the role of environmental exposures in the development of six major sites of cancers(stomach, liver, lung, colorectum, uterine cervix and female breast) in the rural population. Since 1993, 11,304 men and women aged over 35 living in four areas have been recruited. The number of target population is 30,000 persons, which is expected to be successfully recruited until 1999. Each subject has completed a detailed questionnaire on general life-styles, reproductive factors, and agricultural chemical exposures through the interview. Anthropometric measurements with body fat composition and the routine clinical laboratories were examined. For the cancer-free cohort, physical examination by the physicians and serologic tests for hepatitis markers, some tumor markers, and lipid profile have been done, but not all. In order to provide an opportunity to incorporate barious biomarkers of exposure and effect as well as genetic susceptibility, a biologic tissue bank has been established from blood and urine sample(plasma, WBC buffy-coat, RBC clots, and urine supernatant) stored at-70degrees C. Re-examination of changes in exposere to risk factors will be done periodically. Disease occurrence will be ascertained by the active(mainly through diagnosis by physicians) and the passive surveillance(through both death certificate and screening of medical utilization records).
Summary

Epidemiol Health : Epidemiology and Health