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day was associated with cause-specific mortality, and its association was modified by determinants of vulnerability and season. We examined the association between temperature and cause-specific mortality and effects of season and individual socioeconomic status (SES) on the DATR and mortality in Seoul, Korea, from 2000 to 2005. Methods: We applied generalized adaptive Poisson regression models adjusting for influenza epidemics, day of the week, seasonal trends, PM10 concentrations, and apparent temperature. A total of 204,126 nonaccidental deaths were included. Results: The effects of DATR on cardiovascular mortality were greatest in the spring/fall, while the greatest effects on respiratory mortality were in the spring/fall and winter. One degree Celsius increase in the DATR in the spring/fall corresponded to a 1.19% increase in cardiovascular mortality 95% confidence interval (CI), 0.45%–1.93% in a time series analysis in Seoul, Korea. Increases in respiratory in the spring/fall and the winter due to DATR were 2.53% (95% CI, 0.24–4.87) and 2.74% (95% CI, 0.21–5.34), respectively. Disadvantaged groups such as the elderly and the less educated were found to be the most vulnerable groups to DATR for both cardiovascular and respiratory mortality. Conclusion: Diurnal apparent temperature range was a strong predictor of mortality, independent of apparent temperature. Furthermore, DATR effects differed by season and individual SES.

epidemiology

Impairment of Infant Behaviour by Polychlorinated Biphenyls (PCBs): Physiologically-Based Pharmacokinetic (PBPK) Modeling Reveals a Critical Time Window for Postnatal Exposure