epiH Search

CLOSE



Epidemiol Health > Accepted Articles
Epidemiology and Health 2021;e2021057.
DOI: https://doi.org/10.4178/epih.e2021057    [Accepted] Published online Sep 8, 2021.
A comparison of meta-analysis results with and without adjustment for healthy worker effect: cancer mortality among workers in the semiconductor industry
Sung-Ho Hwang1  , Moon-Young Park2  , Won Jin Lee3  , Inho Park4  , Kimyong Hong5  , Donguk Park6  , Kyoung-Mu Lee6 
1National Cancer Control Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, Korea
2Department of Environmental Health, School of Public Health, Seoul University, Seoul, Korea
3Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
4Department of Statistics, Pukyong University, Busan, Korea
5Department of Nursing, Songkok University, Chuncheon, Korea
6Department of Environmental Health, Korea National Open University, Seoul, Korea
Correspondence  Kyoung-Mu Lee ,Tel: 82-2-3668-4749, Fax: 82-2-741-4701, Email: kmlee92@knou.ac.kr
Received: Feb 15, 2021  Accepted after revision: Sep 8, 2021
Abstract
Objectives:
To compare meta-analysis results with and without adjustment for healthy worker effect on the association between working in the semiconductor industry and cancer mortality.
Method:
A total of six studies that reported standardized mortality ratios (SMRs) for cancers were selected for meta-analysis. The SMR results from individual study were combined for all cancers, leukemia and lymphoma to estimate the summary SMRs and 95% confidence intervals (CIs) with random-effects model. To adjust for healthy worker effect, the relative SMRs (rSMR=SMRx/SMRnot x) were calculated using observed and expected counts for the specific cause of interest (i.e., all cancers and leukemia) and observed and expected counts for all the other causes of mortality. Then, the rSMR results were combined to estimate the summary rSMRs and 95% confidence intervals.
Results:
The SMRs for all causes among semiconductor industry workers ranged from 0.25 to 0.80, which reflects significant healthy worker effects. Remarkable difference was found between the summary SMRs and the summary rSMRs. The summary SMR for all cancers was 0.70 (95% CI=0.63-0.79) whereas the summary rSMR was 1.38 (1.20-1.59). The summary SMR for leukemia was 0.88 (0.72-1.08), and the summary rSMR was 1.38 (1.20-1.59).
Conclusions:
Our results suggest that the adjustment for the healthy worker effect (i.e., rSMR) may be useful in meta-analyses of cohort studies reporting SMRs.
Keywords: meta-analysis; standardized mortality ratio; semiconductor industry; healthy worker effect; relative standardized mortality ratio
TOOLS
Share :
METRICS Graph View
  • 0 Crossref
  • 0 Scopus
  • 384 View
  • 16 Download


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR AUTHORS AND REVIEWERS
Editorial Office
Department of Preventive Medicine, Yonsei University College of Medicine
50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
TEL: +82-2-745-0662   FAX: +82-2-764-8328    E-mail: office.epih@gmail.com

Copyright © 2021 by Korean Society of Epidemiology.

Developed in M2PI

Close layer
prev next