Institute of Economics, Geography and Demography (CSIC)

In relation to its surroundings in Europe, Spain is a good example of a late and rapid demographic transition. Within this IRP, the ESR will look at health inequalities in two periods of this demographic transition and in two different areas: Madrid during the early 20th century and Andalusia during the early 21st century. Health inequality due to different educational attainment or occupation has been a topic at the core of the demographic and epidemiological debate during the past decades, but not much is known of these divergences for the South of Europe using longitudinal registers. This ISR will try to measure health inequality by analyzing the combined effect on health of different sociodemographic, economic and environmental variables in two very different periods of time: the era of rapid transformation of urban areas in Europe, and a period of rapid change and crisis within one of the most underdeveloped regions in Europe.

To be able to carry on this IRP, the ESR will be able to make use of an anonymized sample of the newly developed longitudinal population register of Andalusia to reconstruct the complete demographic trajectories of its population since 2001 and also the Historical Population Register data for the City of Madrid for the early 20th century.

The scientific goal of this project is the combined analysis of inequalities in health with different population registers and data. From the analysis of health inequalities in Andalusia to similar data for the city of Madrid. Along with the research plan and use of individual based data sets, the following outputs are envisaged: Concepts and techniques for individual record linkage to construct individual life course trajectories from multi-source databases; Implementation of longitudinal data analysis including harmonization and transformation of historical and contemporary individual based data sets. By interacting with other researchers on the Network the ESR will learn complementary GIS and demographic methodological techniques.

LONGPOP EXPECTED RESULTS:

10.1 Data model for a combined analysis of inequalities in health with different population registers and data.
10.2 Report on Health inequalities in Andalusia, by different sociodemographic, economic and environmental variables.
10.3 Report on health inequalities in Madrid.

LONGPOP PUBLICATIONS:

Voigt, M., Ordanovich, D., Viciana-Fernández, F. J., Cilek, L., Cánovas, R. & Ramiro-Fariñas, D. (2019). Urban environment and mortality differentials in Spain. Population, Space and Place. 2019;e2239.