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Association of endemic goitre and exceptional longevity in Sardinia: evidence from an ecological study

Author

Listed:
  • Francesco Tolu

    (Malattie della Nutrizione e del Ricambio - Azienda Ospedaliero-Universitaria di Sassari)

  • Mario Palermo

    (Malattie della Nutrizione e del Ricambio - Azienda Ospedaliero-Universitaria di Sassari)

  • Maria Pina Dore

    (University of Sassari)

  • Alessandra Errigo

    (Azienda Ospedaliero-Universitaria di Sassari)

  • Ana Canelada

    (Universidad de Màlaga)

  • Michel Poulain

    (Tallinn University)

  • Giovanni Mario Pes

    (University of Sassari
    Sardinia Blue Zone Observatory)

Abstract

This study aims to test the hypothesis that a high prevalence of endemic goitre, considered as a proxy measure for subclinically reduced thyroid function in the population, is geographically associated with exceptional longevity. Using historical data available for 377 Sardinian municipalities in the first half of the twentieth century, we performed an ecological study to investigate the geographic distribution of goitre and its spatial association with demographic indicators of population longevity. This analysis was conducted by using both conventional ordinary least square and geographically weighted regression models to take into account spatial autocorrelation and included other longevity-associated factors previously identified in Sardinia. The spatial analysis revealed that the goitre rate (p

Suggested Citation

  • Francesco Tolu & Mario Palermo & Maria Pina Dore & Alessandra Errigo & Ana Canelada & Michel Poulain & Giovanni Mario Pes, 2019. "Association of endemic goitre and exceptional longevity in Sardinia: evidence from an ecological study," European Journal of Ageing, Springer, vol. 16(4), pages 405-414, December.
    • Handle: RePEc:spr:eujoag:v:16:y:2019:i:4:d:10.1007_s10433-019-00510-4
    DOI: 10.1007/s10433-019-00510-4
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    References listed on IDEAS

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    1. Robert P. Haining & Jane Law, 2011. "Geographical Information Systems Models and Spatial Data Analysis," World Scientific Book Chapters, in: Amitrajeet A Batabyal & Peter Nijkamp (ed.), Research Tools In Natural Resource And Environmental Economics, chapter 12, pages 377-401, World Scientific Publishing Co. Pte. Ltd..
    2. Michel Poulain & Anne Herm & Gianni Pes, 2013. "The Blue Zones: areas of exceptional longevity around the world," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 87-108.
    3. Luis Rosero-Bixby, 2008. "The exceptionally high life expectancy of Costa Rican nonagenarians," Demography, Springer;Population Association of America (PAA), vol. 45(3), pages 673-691, August.
    4. Yanguang Chen, 2013. "New Approaches for Calculating Moran’s Index of Spatial Autocorrelation," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
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