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

## TL;DR

This study explores how the healthy worker survivor bias differs between male and female medical radiation workers in South Korea.

## Contribution

The study identifies sex-specific differences in the healthy worker survivor bias and highlights the need for sex-specific bias mitigation in occupational cohort studies.

## Key findings

- Prior cumulative exposure was positively associated with employment status for all-cause mortality in male workers.
- Female workers showed an inverse association between prior exposure and employment status for all-cause mortality.
- Sex-specific differences in the healthy worker survivor bias were primarily driven by the association between prior exposure and employment status.

## Abstract

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.

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).

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.

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.