IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v62y2017i3d10.1007_s00038-017-0946-9.html
   My bibliography  Save this article

Cancer time trend in a population following a socio-economic transition: results of age-period-cohort analysis

Author

Listed:
  • Giovanni Mario Pes

    (University of Sassari
    University of Sassari)

  • Federica Cocco

    (University of Sassari)

  • Stefano Bibbò

    (University of Sassari)

  • Giuseppina Marras

    (University of Sassari)

  • Maria Pina Dore

    (University of Sassari
    Michael E. DeBakey VAMC)

Abstract

Objectives To examine cancer trend using age-period-cohort analysis with a cohort of patients in Sardinia, Italy, where epidemiological transition occurred between 1950 and 1960. Methods Poisson log-linear regression models were used to analyze time trend in patients undergoing upper endoscopy between 1995 and 2013. Results A total of 10,546 clinical records (62.2% women) were retrieved. In 541 patients (5.1%), a diagnosis of cancer was reported, more often in men (5.5%) than in women (4.9%). Age and birth cohort were significantly associated with cancer rate according to age-period-cohort analysis (p

Suggested Citation

  • Giovanni Mario Pes & Federica Cocco & Stefano Bibbò & Giuseppina Marras & Maria Pina Dore, 2017. "Cancer time trend in a population following a socio-economic transition: results of age-period-cohort analysis," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(3), pages 407-414, April.
    • Handle: RePEc:spr:ijphth:v:62:y:2017:i:3:d:10.1007_s00038-017-0946-9
    DOI: 10.1007/s00038-017-0946-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-017-0946-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00038-017-0946-9?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jinjing Wu & Peter A. Muennig & Katherine Keyes & Jilei Wu, 2019. "Generational differences in longitudinal blood pressure trajectories by geographic region during socioeconomic transitions in China," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(9), pages 1375-1387, December.

    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:spr:ijphth:v:62:y:2017:i:3:d:10.1007_s00038-017-0946-9. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.