IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2012-028.html
   My bibliography  Save this paper

Regional hot spots of exceptional longevity in Germany

Author

Listed:
  • Rembrandt D. Scholz

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Sebastian Klüsener

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

In their contributions to the debate on exceptional longevity, several scholars have noted the existence of spatial hot spots, or areas with a high concentration of individuals who have survived to very high ages (e.g. Sardinia in Italy or Okinawa in Japan). However, most of these studies were based on a small number of cases. This study investigates the spatial pattern of exceptional longevity in Germany by place of birth and place of death. We used a large dataset of exceptional longevity that covered all recorded individuals who reached the age of 105 in Germany in the period 1991 to 2002 (N: 1,339). Our research results show that, even in Germany, with its troubled 20th-century past, most of the semi-supercentenarians reached the age of exceptional longevity in the same region in which they were born. The discovery of this highly localised pattern supports the view that an investigation of regional variation in exceptional longevity can produce meaningful results. In our analysis of spatial variation, we were able to detect hot spots of exceptional longevity in Berlin and in north-western Germany. These findings are remarkable, as life expectancy in Germany is currently characterised by a south-north gradient, with the areas of highest life expectancy at birth being located in the south. The observed pattern of exceptional longevity instead reflects the life expectancy at birth pattern in Germany in the early 20th century and to some degree also the current life expectancy at age 80 pattern. Our findings might be interpreted as support to the argument that early and late life conditions might play an important role in explaining spatial variation of exceptional longevity in Germany.

Suggested Citation

  • Rembrandt D. Scholz & Sebastian Klüsener, 2012. "Regional hot spots of exceptional longevity in Germany," MPIDR Working Papers WP-2012-028, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2012-028
    DOI: 10.4054/MPIDR-WP-2012-028
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/en/publications_databases_6118/publications_1904/journal_articles/regional_hot_spots_of_exceptional_longevity_in_germany_5151
    Download Restriction: no

    File URL: https://www.demogr.mpg.de/papers/working/wp-2012-028.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/MPIDR-WP-2012-028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sudipto Banerjee, 2005. "On Geodetic Distance Computations in Spatial Modeling," Biometrics, The International Biometric Society, vol. 61(2), pages 617-625, June.
    2. Kirchberger, Stefan, 1994. "Health care technology in the Federal Republic of Germany," Health Policy, Elsevier, vol. 30(1-3), pages 163-205.
    3. Michel Poulain, 2011. "Exceptional Longevity in Okinawa:," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(7), pages 245-284.
    4. Roger J. Marshall, 1991. "Mapping Disease and Mortality Rates Using Empirical Bayes Estimators," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 283-294, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sebastian Klüsener & Rembrandt D. Scholz, 2013. "Regional hot spots of exceptional longevity in Germany," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 137-163.
    2. Laura A. Rodriguez-Villamizar & Diana Marín & Juan Gabriel Piñeros-Jiménez & Oscar Alberto Rojas-Sánchez & Jesus Serrano-Lomelin & Victor Herrera, 2023. "Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    3. Phaisarn Jeefoo & Nitin Kumar Tripathi & Marc Souris, 2010. "Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand," IJERPH, MDPI, vol. 8(1), pages 1-24, December.
    4. Emílio Prado da Fonseca & Regiane Cristina do Amaral & Antonio Carlos Pereira & Carla Martins Rocha & Marc Tennant, 2018. "Geographical Variation in Oral and Oropharynx Cancer Mortality in Brazil: A Bayesian Approach," IJERPH, MDPI, vol. 15(12), pages 1-9, November.
    5. Emilio Porcu & Moreno Bevilacqua & Marc G. Genton, 2016. "Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 888-898, April.
    6. F. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2019. "Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference," Papers 1911.00512, arXiv.org.
    7. Gláucia Cota & Astrid Christine Erber & Eva Schernhammer & Taynãna Cesar Simões, 2021. "Inequalities of visceral leishmaniasis case-fatality in Brazil: A multilevel modeling considering space, time, individual and contextual factors," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(7), pages 1-23, July.
    8. Monte Kietpawpan & Parichart Visuthismajarn & Charlchai Tanavud & Mark Robson, 2008. "Method of calculating tsunami travel times in the Andaman Sea region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(1), pages 89-106, July.
    9. Bernal-Delgado, Enrique & García-Armesto, Sandra & Peiró, Salvador, 2014. "Atlas of Variations in Medical Practice in Spain: The Spanish National Health Service under scrutiny," Health Policy, Elsevier, vol. 114(1), pages 15-30.
    10. Dominic Coey & Kenneth Hung, 2022. "Empirical Bayes Selection for Value Maximization," Papers 2210.03905, arXiv.org, revised Jan 2023.
    11. Ying C. MacNab & Patrick J. Farrell & Paul Gustafson & Sijin Wen, 2004. "Estimation in Bayesian Disease Mapping," Biometrics, The International Biometric Society, vol. 60(4), pages 865-873, December.
    12. Partha Lahiri & Jiraphan Suntornchost, 2020. "A general Bayesian approach to meet different inferential goals in poverty research for small areas," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 237-253, August.
    13. Shi Yin & Chao Ren & Yuan Shi & Junyi Hua & Hsiang-Yu Yuan & Lin-Wei Tian, 2022. "A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    14. Reza Asriandi Ekaputra & Changkye Lee & Seong-Hoon Kee & Jurng-Jae Yee, 2022. "Emergency Shelter Geospatial Location Optimization for Flood Disaster Condition: A Review," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    15. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    16. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
    17. Leonid A. Gavrilov & Natalia S. Gavrilova, 2013. "Determinants of exceptional human longevity: new ideas and findings," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 295-323.
    18. Perleth, Matthias & Busse, Reinhard & Schwartz, Friedrich Wilhelm, 1999. "Regulation of health-related technologies in Germany," Health Policy, Elsevier, vol. 46(2), pages 105-126, January.
    19. Partha Lahiri & Huilin Li, 2009. "An adaptive hierarchical Bayes quality measurement plan," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(4), pages 468-477, July.
    20. Jon Anson, 2013. "Surviving to be the oldest old—destiny or chance?," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 71-85.

    More about this item

    Keywords

    Germany; longevity; spatial analysis; spatial distance;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:wpaper:wp-2012-028. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.