Volume 55 - Article 29 | Pages 969–986
Estimating post-war socioeconomic inequalities in lifespan in Austria (Vorarlberg) between 1946 and 1981 using newspaper obituary data
By Susanne Mayer, Michael Berger, Pekka T Martikainen, Peter Christen, Tanja Corkovic-Mayrhofer, Michael Haider, Moritz Oberndorfer
Abstract
Background: A historical perspective on socioeconomic inequalities in lifespan provides insights into their persistence and potential for reduction. However, relevant administrative data prior to the 1970s are often unavailable, necessitating the use of alternative sources.
Objective: We aim to study the historical development of lifespan inequalities in the post-war period in Vorarlberg, Austria, using data collected from newspaper obituaries.
Methods: We extracted data from all obituaries published in a monopolist newspaper, at 5-year intervals (1946–1981, n = 10,254). Lifespan was the outcome, and we used four indicators of socioeconomic position: obituary size (a financial proxy), tertiary education, blue/white-collar occupation, and honorary service. We estimated inequalities in lifespan using linear and quantile regressions.
Results: The mean lifespan was 60 years in 1946 and 71 years in 1981. In 1946, individuals with medium-sized obituaries lived 5.90 years longer than those with small obituaries (95% CI: 1.33–10.48). Obituary coverage was below 40% before the 1960s but had risen to 45% by 1961, when medium and large obituaries were associated with longer lifespans of 4.34 years (95% CI: 1.27–7.42) and 8.51 years (95% CI: 0.23–16.80) respectively. By 1981 (coverage: 84%), differences had narrowed to +2.50 years for medium-sized obituaries (95% CI: 0.83–4.17).
Contribution: Using obituary data – an underexplored, yet rich data source for studying population health – we found that lifespan inequalities narrowed in the immediate post-war period, mainly driven by increasing lifespan in disadvantaged groups. Comparisons with available registry data illustrate that obituary data effectively capture mortality patterns and may help improve the understanding of the evolution of health inequalities when administrative data are limited.
Author’s Affiliation
- Susanne Mayer - Medizinische Universität Wien, Austria EMAIL
- Michael Berger - Medizinische Universität Wien, Austria EMAIL
- Pekka T Martikainen - Helsingin Yliopisto (University of Helsinki), Finland EMAIL
- Peter Christen - Medizinische Universität Wien, Austria EMAIL
- Tanja Corkovic-Mayrhofer - Medizinische Universität Wien, Austria EMAIL
- Michael Haider - Medizinische Universität Wien, Austria EMAIL
- Moritz Oberndorfer - Helsingin Yliopisto (University of Helsinki), Finland EMAIL
Other articles by the same author/authors in Demographic Research
The changing socioeconomic composition of the Finnish prison population
Volume 51 - Article 27
Contribution of smoking-attributable mortality to life-expectancy differences by marital status among Finnish men and women, 1971-2010
Volume 36 - Article 8
The role of smoking on mortality compression: An analysis of Finnish occupational social classes, 1971-2010
Volume 32 - Article 20
Age-specific fertility by educational level in the Finnish male cohort born 1940‒1950
Volume 31 - Article 5
The effects of socioeconomic and cultural characteristics of regions on the spatial patterns of the Second Demographic Transition in Finland
Volume 19 - Article 61
Educational differences in all-cause mortality by marital status: Evidence from Bulgaria, Finland and the United States
Volume 19 - Article 60
Increasing excess mortality among non-married elderly people in developed countries
Special Collection 2 - Article 12
Similar articles in Demographic Research
Migrant mortality across contexts and generations: A comparative study of Norway and England and Wales
Volume 55 - Article 18
| Keywords:
assimilation,
cross-national comparison,
England,
migrant descendants,
migrant mortality,
migrant mortality,
mortality,
Norway,
second generation,
Wales
Estimating COVID-19 excess mortality during and after the pandemic: A Bayesian model, with an application to New Zealand
Volume 55 - Article 17
| Keywords:
Bayesian analysis,
COVID-19,
mortality,
mortality forecasting,
New Zealand,
New Zealand
The contribution of forecast uncertainty to lifespan uncertainty
Volume 55 - Article 14
| Keywords:
cohort mortality,
lifespan,
lifespan inequality,
lifespan variation,
mortality forecasting,
variance decomposition
A personal perspective on the history of the World Fertility Survey and The Demographic and Health Surveys Program: An interview with Tom Pullum
Volume 55 - Article 6
| Keywords:
Demographic Health Surveys,
fertility,
fertility,
health,
mortality,
surveys,
World Fertility Survey
Collecting data on HIV/AIDS mortality during household surveys: A randomized validation study in Malawi
Volume 54 - Article 41
| Keywords:
data quality,
excess mortality,
HIV/AIDS,
mortality,
siblings,
social desirability bias,
surveys
Cited References: 40
Download to Citation Manager
PubMed
Google Scholar