Work

Component Associations of the Healthy Worker Survivor Bias in Medical Radiation Workers

Year: 2025

Type: article

Abstract: BACKGROUND: The healthy worker survivor bias may vary by sex. This study investigated three component associations necessary for this bias to determine the origins of sex differences in this bias among male and female workers. METHODS: We analyzed a data set of 93,918 South Korean diagnostic medical radiation workers registered in the National Dose Registry from 1996 to 2011, linked with mortality and cancer incidence data. Component associations were assessed using Cox regression to estimate hazard ratios (HRs) and logistic regression with generalized estimating equations to estimate odds ratios (ORs). RESULTS: A significant association between prior cumulative exposure and employment status was observed for all-cause mortality in male (HR 1.06, 95% CI 1.02-1.10), whereas an inverse association was noted in female workers (HR 0.82, 95% CI 0.78-0.87). Adjusted ORs for employment status and subsequent exposure for all-cause mortality, as well as HRs for employment status and survival time, demonstrated associations in the same direction in both males and females. CONCLUSIONS: Our findings demonstrate that sex-specific differences in healthy worker survivor bias were primarily driven by the association between prior exposure and employment status. To improve bias mitigation in occupational cohort studies, sex-specific components should be incorporated.

Source: American Journal of Industrial Medicine

DOI: 10.1002/ajim.23727

Authors: Won Jin Lee, Jaeho Jeong, Young Min Kim

Institutions: Korea University, Kyungpook National University

Language: English

Topic: Radiation Dose and Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities, Gender equality, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $4,430