IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v32y2013i2p183-198.html
   My bibliography  Save this article

Estimates of Survival of Diabetics from Repeated, Independent Sample Surveys

Author

Listed:
  • David Smith
  • Benjamin Bradshaw

Abstract

Little is known about death rates among diabetic populations. The few prior estimates have used two data systems, usually a registry or a survey to identify diabetics and death certificates to identify deaths. In this research, the diabetic population aged 18–94 in 1996–1998 and those surviving in 2001–2003 were estimated from repeated cross-sectional surveys, the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention. Forward survival ratios were computed using a method developed for successive censuses and these were used to compute death rates. Nonlinear regression models for age-sex specific survival ratios were used to estimate parametric rates and thereby increase the accuracy of estimates. About 81.4 % (SE = 1.3 %) of diabetics survived 5 years, for an annual death rate of 41.1 per thousand (SE = 3.2). Among men survival was 84.7 % (SE = 2.1 %) with an annual death rate of 33.8 (SE = 4.9) per thousand; among women survival was 78.5 % (SE = 2.2 %) with an annual death rate of 48.1 (SE = 4.1) per thousand. Model estimates of mortality rates showed an odds ratio of 3.17 (95 % CI 2.64, 3.82) for each 10 year age interval and of 1.35 (95 % CI 1.02, 1.79) for women compared with men. Pooled annual samples, longer time intervals for survival, and parametric estimates of rates all help overcome the small numbers and large sampling variation of survey estimates of survival and mortality. Useful estimates of survival rates can be made from a single data system, a sample survey of the general population. This can be done for any condition where a respondent’s status at the earlier survey time is obtained at the later survey time. It could also be used to make estimates from periodic surveys for nations with limited information systems. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • David Smith & Benjamin Bradshaw, 2013. "Estimates of Survival of Diabetics from Repeated, Independent Sample Surveys," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(2), pages 183-198, April.
    • Handle: RePEc:kap:poprpr:v:32:y:2013:i:2:p:183-198
    DOI: 10.1007/s11113-012-9253-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11113-012-9253-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11113-012-9253-6?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.

    References listed on IDEAS

    as
    1. Tierney, E.F. & Geiss, L.S. & Engelgau, M.M. & Thompson, T.J. & Schaubert, D. & Shireley, L.A. & Vukelic, P.J. & McDonough, S.L., 2001. "Population-based estimates of mortality associated with diabetes: Use of a death certificate check box in North Dakota," American Journal of Public Health, American Public Health Association, vol. 91(1), pages 84-92.
    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. L. McFall, Stephanie & W. Smith, David & S. Bradshaw, Benjamin, 2010. "Estimates of survival and mortality from successive cross-sectional surveys," ISER Working Paper Series 2010-12, Institute for Social and Economic Research.
    2. Betsy Cadwell & James Boyle & Edward Tierney & Theodore Thompson, 2007. "A Bayesian approach to assess heart disease mortality among persons with diabetes in the presence of missing data," Health Care Management Science, Springer, vol. 10(3), pages 231-238, September.

    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:kap:poprpr:v:32:y:2013:i:2:p:183-198. 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: 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.