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Data Resources for Biodemographic Studies on Familial Clustering of Human Longevity

Author

Listed:
  • Natalia Gavrilova

    (University of Chicago)

  • Leonid Gavrilov

    (University of Chicago)

Abstract

The main cause that hampered many previous biodemographic studies of human longevity is the lack of appropriate data. At the same time, many existing data resources (millions of genealogical records) are under-utilized, because their very existence is not widely known, let alone the quality and scientific value of these data sets are not yet validated. The purpose of this work is to review the data resources that could be used in familial studies of human longevity. This is an extended and supplemented version of the previous study made by the authors upon the request of the National Institute on Aging (1998 NIH Professional Service Contract). The review describes: (1) data resources developed for biodemographic studies, (2) data collected in the projects on historical demography, (3) data resources for long lived individuals and their families, (4) publicly available computerized genealogical data resources, (5) published genealogical and family history data. The review also contains the description of databases developed by the participants of the Research Workshops "Genes, Genealogies, and Longevity" organized by the Max Planck Institute for Demographic Research.

Suggested Citation

  • Natalia Gavrilova & Leonid Gavrilov, 1999. "Data Resources for Biodemographic Studies on Familial Clustering of Human Longevity," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(4).
    • Handle: RePEc:dem:demres:v:1:y:1999:i:4
    DOI: 10.4054/DemRes.1999.1.4
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    Cited by:

    1. Éric Le Bourg, 2001. "A mini-review of the evolutionary theories of aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 4(1), pages 1-28.
    2. Silvana Mirella Aliberti & Francesco De Caro & Richard H. W. Funk & Luigi Schiavo & Joseph Gonnella & Giovanni Boccia & Mario Capunzo, 2022. "Extreme Longevity: Analysis of the Direct or Indirect Influence of Environmental Factors on Old, Nonagenarians, and Centenarians in Cilento, Italy," IJERPH, MDPI, vol. 19(3), pages 1-17, January.

    More about this item

    Keywords

    longevity; biodemography of human longevity; computerized databases; genealogical longevity data; genealogies; human longevity; centenarians;
    All these keywords.

    JEL classification:

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

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