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Occupational Disparities in PM2.5-Related Mortality in Seoul, South Korea: Applying Distributed Lag Models
Jiyoung Shin1, Jongmin Oh2,3,4, Kyeezu Kim5
1Department of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong, South Korea.
Objective:
This study aimed to examine occupational disparities in PM2.5-related mortality in Seoul, South Korea.
Methods:
We analyzed a comprehensive, population-based dataset of daily all-cause mortality and PM2.5 concentrations in Seoul over a five-year period. Generalized Additive Models and Distributed Lag Models were employed to estimate the short-term associations between PM2.5 and mortality across different subgroups, including age, sex, and occupation.
Results:
A significant positive association between PM2.5 and mortality was observed, with distinct patterns among socio-demographic subgroups. In particular, blue-collar workers and elementary workers showed substantially higher relative risks (RR).
Conclusions:
Our findings demonstrate that individual's occupations are important determinants of PM2.5 vulnerability. Air quality management policies should move beyond universal concentration targets and incorporate tailored management for high-risk groups and individuals to effectively mitigate environmental health inequalities.
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