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A comparison of meta-analysis results with and without adjustment for the healthy worker effect: cancer mortality among workers in the semiconductor industry
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Sung-Ho Hwang, Moon-Young Park, Won Jin Lee, Inho Park, Kimyong Hong, Donguk Park, Kyoung-Mu Lee
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Epidemiol Health. 2021;43:e2021057. Published online September 8, 2021
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DOI: https://doi.org/10.4178/epih.e2021057
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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.
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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.
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- 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
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No Association Between Functional Polymorphisms in COMT and MTHFR and Schizophrenia Risk in Korean Population
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Ho Jin Kang, Byeong Moo Choe, Seong Hwan Kim, Seung-Rak Son, Kyoung-Mu Lee, Byoung Gwon Kim, Young-Seoub Hong
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Epidemiol Health. 2010;32:e2010011. Published online December 24, 2010
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DOI: https://doi.org/10.4178/epih/e2010011
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20,732
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Abstract
<sec><title>OBJECTIVES</title><p>Common genetic SNPs in two genes, encoding catechol-O-methyltransferase (COMT) and methylenetetrahydrofolate reductase (MTHFR), which are interconnected with COMT gene regulation, have been reported to contribute to schizophrenia risk. In this study, we evaluated the association between functional polymorphisms in COMT and MTHFR and schizophrenia risk with a case-control study in a Korean population.</p></sec><sec><title>METHODS</title><p>We performed a case-control study by genotyping analysis using 360 cases and 348 controls in Korean subjects to determine the association between functional polymorphisms in COMT and MTHFR and schizophrenia risk.</p></sec><sec><title>RESULTS</title><p>Four functional SNPs in COMT (Val158Met and rs165599) and MTHFR (C677T and A1298C) were genotyped by primer extension assay. None of the genotype distributions for the four SNPs was significantly different between cases and controls. Stratified analysis did not show any significant gender difference for any polymorphism. In addition, we found no evidence of a gene-gene interaction in the analysis of combined genotypes.</p></sec><sec><title>CONCLUSION</title><p>Our results suggest no significant association between the selected functional polymorphisms of COMT or MTHFR in Korean schizophrenia subjects. However, further studies are required to confirm our findings in a larger number of subjects.</p></sec>
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Citations
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Stephanie Fryar-Williams, Jörg Strobel, Peter Clements International Journal of Molecular Sciences.2023; 24(20): 15296. CrossRef - Association between MTHFR (677C>T and 1298A>C) polymorphisms and psychiatric disorder: A meta-analysis
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Yu-Xin Zhang, Lu-Ping Yang, Cong Gai, Cui-Cui Cheng, Zhen-yu Guo, Hong-Mei Sun, Die Hu Frontiers in Psychiatry.2022;[Epub] CrossRef - MTHFR Ala222Val polymorphism and clinical characteristics confer susceptibility to suicide attempt in chronic patients with schizophrenia
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Jen-Hau Yang, Rose E. Presby, Suzanne Cayer, Renee A. Rotolo, Peter A. Perrino, R. Holly Fitch, Merce Correa, Elissa J. Chesler, John D. Salamone Pharmacology Biochemistry and Behavior.2020; 196: 172975. CrossRef - Association of functional polymorphisms in 3′-untranslated regions of COMT, DISC1, and DTNBP1 with schizophrenia
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Thelma Beatriz González-Castro, Yazmin Hernández-Díaz, Isela Esther Juárez-Rojop, María Lilia López-Narváez, Carlos Alfonso Tovilla-Zárate, Ana Fresan NeuroMolecular Medicine.2016; 18(2): 216. CrossRef - Evaluation of an association between plasma total homocysteine and schizophrenia by a Mendelian randomization analysis
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Su-Gyeong Kim, Joo Yun Song, Eun-Jeong Joo, Seong Hoon Jeong, Se Hyun Kim, Kyu Young Lee, Nam Young Lee, Yong Min Ahn, Yong Sik Kim, Myoung-Sun Roh Journal of Korean Medical Science.2011; 26(10): 1356. CrossRef
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