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Educational inequalities in smoking-attributable mortality in Europe: Understanding trends between 2000 and 2020
Nienke W Boderie1, Alyson van Raalte2, Jasper V Been3
1Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; International Max Planck Research School for Population, Health, and Data Science, Rostock, Germany.
Smoking-attributable mortality decreased in men but remains a key driver of life expectancy disparities. For women, smoking
Area of Science:
- Public Health
- Epidemiology
- Social Determinants of Health
Background:
- Smoking is a major global cause of death and disease.
- Its health impacts are unequally distributed across socioeconomic groups.
- Understanding educational disparities in smoking-related mortality is crucial for public health policy.
Purpose of the Study:
- To investigate trends in educational inequalities in smoking-attributable mortality in Europe.
- To analyze changes in smoking's contribution to educational inequalities in partial life expectancy (2000-2020).
Main Methods:
- Longitudinal mortality follow-up using post-census data from ten European countries (2000-2020).
- Calculation of partial life expectancy (ages 50-80) by educational attainment.
- Estimation of smoking-attributable fraction (SAF) and decomposition of life expectancy differences using the continuous change model.
Main Results:
- For men, SAF decreased across all educational groups, but remained highest in lower education strata.
- For women, SAF increased over time, with a less pronounced educational gradient.
- Smoking contributed 0.2-2.3 years to educational differences in male life expectancy, decreasing over time; for women, it contributed -0.1-0.9 years, increasing or stabilizing.
Conclusions:
- Smoking continues to significantly drive educational inequalities in life expectancy, particularly for women.
- While smoking-attributable mortality declined in men, disparities persist.
- Targeted tobacco control measures are essential to address and reduce these growing socioeconomic health disparities, especially among women.
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