Demografische Daten

Auf einen Blick Projekte Publikationen Team


Sterblichkeit und Gesundheit in Deutschland

Pavel Grigoriev, Vladimir M. Shkolnikov, Domantas Jasilionis, Dmitri A. Jdanov; in Zusammenarbeit mit Georg Wenau, Olga Grigoriev, Roland Rau (alle: MPIDR), Rembrandt D. Scholz (Berlin, Deutschland), Markéta Pechholdová (University of Economics, Prague, Tschechische Republik), France Meslé, Vallin Jacques (beide: French National Institute for Demographic Studies, Paris, Frankreich), Eva Kibele (The Statistical Office of the Free Hanseatic City of Bremen, Deutschland), Gabriele Doblhammer (University of Rostock, Deutschland), Sebastian Klüsener (Federal Institute for Population Research, Wiesbaden, Deutschland)

Ausführliche Beschreibung

The project covers various aspects related to health and mortality in Germany, including but not limited to the following research areas: long-term mortality trends by causes of death, the East-West mortality gap, regional mortality trends and patterns, socioeconomic mortality differentials at national and subnational levels, and long-term care utilization.

Detailed continuous mortality series by cause of death that are comparable across time enable us to conduct detailed and systematic analyses of the components and determinants of mortality change. Such series were successfully produced for western Germany using the reconstruction method developed by Vallin and Meslé. This approach allows for the elimination of statistical discontinuities in mortality series caused by periodic revisions of the International Classification of Diseases. Producing and analyzing analogous data for eastern Germany is on the agenda of this project.

It has been suggested that health progress in eastern Germany has been largely due to reductions in cardiovascular disease and in other chronic conditions. Despite extensive research, the factors underlying the marked mortality improvements in eastern Germany are still not fully understood. The reconstructed cause-of-death series will help to uncover the reasons for the rapid narrowing of the East-West mortality gap in Germany.

Reducing mortality disparities between socioeconomic groups has been an important public health priority worldwide. Yet the analysis of inequalities by socioeconomic status (SES) in Germany is complicated by the lack of appropriate data. We aim to fill this gap by using German Pension Fund (DRV) data, which allows us to assess the socioeconomic gradient of German mortality and its changes over time at both the national and the regional levels. A regional analysis of mortality differentials by SES is prioritized. The main goal here is to identify and explain the peculiarities of the SESmortality relationship and its temporal changes in Germany, and in its two eastern and western regions. This kind of analysis is only possible by using DRV data because the existing sample surveys are representative at the national level only.

Using DRV data to assess mortality by population groups is straightforward, but it is more complicated to rely on them to assess mortality among women or economically active population groups. Our recent studies aimed to fill this gap.


Alterung, Sterblichkeit und Langlebigkeit, Gesundheitsversorgung, Public Health, Medizin und Epidemiologie

Schlagworte (Region):

Deutschland, Deutschland/BRD, Deutschland/DDR


Grigoriev, O.; Doblhammer, G.:
European Journal of Population, 1–25. (2022)    
Grigoriev, P.; Pechholdová, M.; Mühlichen, M.; Scholz, R. D.; Klüsener, S.:
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz , 1–10. (2021)    
van Raalte, A. A.; Klüsener, S.; Oksuzyan, A.; Grigoriev, P.:
International Journal of Epidemiology 49:2, 486–496. (2020)    
Grigoriev, O.; Doblhammer, G.:
PLoS One 14:9, e0222842–e0222842. (2019)    
Grigoriev, P.; Scholz, R. D.; Shkolnikov, V. M.:
BMJ Open 9:10, e028001–e028001. (2019)    
Wenau, G.; Grigoriev, P.; Shkolnikov, V. M.:
Journal of Epidemiology and Community Health 73:7, 605–611. (2019)    
Klüsener, S.; Grigoriev, P.; Scholz, R. D.; Jdanov, D. A.:
Comparative Population Studies 43, 31–64. (2018)    
Pechholdová, M.; Grigoriev, P.; Meslé, F.; Vallin, J.:
Population and Societies, 1–4. (2017)    
Pechholdová, M.; Grigoriev, P.; Meslé, F.; Vallin, J.:
Population et Sociétés, 1–4. (2017)    
Scholz, R. D.:
In: Die transformative Macht der Demografie, 173–185. Wiesbaden: Springer Fachmedien. (2017)
Vogt, T. C.; van Raalte, A. A.; Grigoriev, P.; Myrskylä, M.:
Demography 54:3, 1051–1071. (2017)    
Vogt, T. C.; van Raalte, A. A.; Grigoriev, P.; Myrskylä, M.:
MPIDR Working Paper WP-2016-004. (2016)    
Grigorieva, O.:
In: Health among the elderly in Germany: new evidence on disease, disability and care need, 91–114. Leverkusen: Budrich. (2015)
Kibele, E. U. B.; Klüsener, S.; Scholz, R. D.:
Kölner Zeitschrift für Soziologie und Sozialpsychologie 67:Supplement 1, 241–270. (2015)
Klüsener, S.; Scholz, R. D.; Kibele, E. U. B.:
In: Jahrbuch der Max-Planck-Gesellschaft 2015. München: Max-Planck-Gesellschaft. (2015)
Kibele, E. U. B.; Jasilionis, D.; Shkolnikov, V. M.:
Journal of Epidemiology and Community Health 67:5, 453–457. (2013)
Klüsener, S.; Scholz, R. D.:
Vienna Yearbook of Population Research 11, 137–163. (2013)
Myrskylä, M.; Scholz, R. D.:
International Journal of Epidemiology 42:2, 549–558. (2013)
Siewert, U.; Fendrich, K.; Markus, M. R. P.; Baumeister, S. E.; Doblhammer-Reiter, G.; Scholz, R. D.; Hoffmann, W.:
Journal of Public Health 21:3, 289–296. (2013)
Scholz, R. D.; Schröder, C.:
Zeitschrift für Wirtschafts- und Sozialwissenschaften/Schmollers Jahrbuch 132:2, 151–174. (2012)
Scholz, R. D.:
In: Demografische Spuren des ostdeutschen Transformationsprozesses: 20 Jahre deutsche Einheit, 28–38. Bonn: BBSR. (2011)
Scholz, R. D.:
In: Hochaltrigkeit: Herausforderung für persönliche Lebensführung und biopsychosoziale Arbeit, 23–35. Wiesbaden: VS Verlag für Sozialwissenschaften. (2011)
Scholz, R. D.:
Wirtschaftsdienst 91:1, 68–70. (2011)
Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.