Seminaris

COLLOQUIUM Stefán Hrafn Jónsson (University of Iceland).- Bringing Iceland's Population Registers into the Global Burden of Disease Study: Mortality by Education

Organitza: Centre d'Estudis Demogràfics

Lloc: Semipresencial

Hora: 12:00 - 13:00

Id. de reunión: 368 030 812 641 589 4
Código de acceso: 547ZG9GD

 

Abstract

Social inequality in health is among the most persistent and well-documented findings in population health research. Yet educational attainment remains underrepresented in global comparative assessments of mortality and life expectancy, despite its importance as a determinant of health. The Global Burden of Disease (GBD) study, the principal source of internationally comparable estimates of mortality and disease burden, is currently developing a module to integrate education into these analyses, reflecting growing recognition of how mortality varies by socioeconomic status, both within and between countries.
This presentation introduces an ongoing project that estimates cause-specific mortality rates in Iceland by educational attainment, age and sex, using individual-level linked administrative register data from Statistics Iceland. Near-complete population coverage, consistent annual measurement of educational attainment, and highly reliable death registration place Iceland among the first countries able to contribute linked register-based analyses of this kind to the GBD study, notwithstanding the methodological challenges of a small population, where sparse cells complicate stable estimation over time.
The project is made possible by Statistics Iceland’s Microdata service, a research infrastructure comprising five longitudinal administrative registers that cover the entire resident population from 1978 onwards and can be linked at the individual level through a common encrypted personal identifier. I will briefly introduce this infrastructure and discuss its relevance for population-based mortality research.
As the analyses are ongoing, final results are not yet available; the presentation therefore focuses on the data sources, the methodological approach, and preliminary findings.