Estimates of Survival of Diabetics from Repeated, Independent Sample Surveys
Purchase on Springer.com
$39.95 / €34.95 / £29.95*
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.
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.
- Arias, E., Curtin, L. R., Wei, R., & Anderson, R. N. (2008). United States decennial life tables for 1999–2001, United States life tables. National vital statistics reports (Vol 57, no 1). Hyattsville, MD: National Center for Health Statistics.
- Centers for Disease Control and Prevention. (2006). Behavioral risk factor surveillance system operational and user’s guide, Version 3.0.
- Dray-Spira, R., Gary-Webb, T. L., & Brancati, F. L. (2010). Educational disparities in mortality among adults with diabetes in the US. Diabetes Care, 33(6), 1200–1205. CrossRef
- Greig, K., Colhoun, H., Lindsay, R., Wild, S. (2009). Relative risk of mortality associated with diabetes in Scotland in 2007: A nationwide record linkage study. Proceedings of Exploiting Existing Data for Health Research, International Conference, 17–19 Sep, St. Andrews.
- Gu, K., Cowie, C. C., & Harris, M. I. (1998). Mortality in adults with and without diabetes in a national cohort of the US. Diabetes Care, 21(7), 1138–1145. CrossRef
- Haile, J. (2009). Kentucky death certificate update 2009. CDC Diabetes Translation Conference, April 21–24, 2009, San Diego. Retrieved January 3, 2010 from: http://www.team-psa.com/DDT2009/presentation5.asp.
- Hansen, M. H., Hurwitz, W. N., & Madow, W. G. (1953). Sample survey methods and theory (Vol. 1). New York: John Wiley.
- Hempstead, K. (2009). The accuracy of a death certificate checkbox for diabetes: Early results from New Jersey. Public Health Reports, 124(5), 726–732.
- Heron, M., Anderson, R.N. (2010). Diabetes reporting on death certificates in Kentucky. NAPHSIS and VSCP Project Directors Joint Meeting, Cincinnati, 2005. Retrieved January 3, 2010 from: http://www.naphsis.org/.
- Holtzman, D. (2003). Analysis and interpretations of data from the US Behavioral Risk Factor Surveillance System. In D. V. McQueen & P. Puska (Eds.), Global behavioral risk factor surveillance (pp. 35–46). New York: Kluwer Academic/Plenum Publishers. CrossRef
- Livingston, E. H., & Ko, C. Y. (2005). Effect of diabetes and hypertension on obesity-related mortality. Surgery, 137(1), 16–25. CrossRef
- Muggeo, M., Verlato, G., Bonora, E., Bressan, F., Girotto, S., Corbellini, M., et al. (1995). The Verona diabetes study: A population based survey on known diabetes mellitus prevalence and 5-year all-cause mortality. Diabetologia, 38(3), 318–325. CrossRef
- Narayan, K. M., Boyle, J. P., Thompson, T. J., Sorensen, S. W., & Williamson, D. F. (2003). Lifetime risk for diabetes mellitus in the United States. JAMA, 290(14), 1884–1890. CrossRef
- Saydah, S. H., Eberhardt, M. S., Loria, C. M., & Brancati, F. L. (2002). Age and the burden of death attributable to diabetes in the United States. American Journal of Epidemiology, 156(8), 714–719. CrossRef
- Siegel, J. S., & Swanson, D. A. (2004). The methods and materials of demography. San Diego: Elsevier Academic Press.
- Smith, D. W., & Bradshaw, B. S. (2008). Cause-specific mortality rates in subpopulations with chronic diseases. In Presentation at the Southern Demographic Association Annual Meeting, Greenville, SC, October 30, 2008.
- StataCorp. (2007a). Survey Data, Stata Statistical Software: Release 10. College Station, TX: StataCorp LP.
- StataCorp. (2007b). Reference L-P, Stata Statistical Software: Release 10. College Station, TX: StataCorp LP.
- Tierney, E. F., Geiss, L. S., Engelgau, M. M., et al. (2001). Population-based estimates of mortality associated with diabetes: use of a death certificate check box in North Dakota. American Journal of Public Health, 91(1), 84–92. CrossRef
- United Nations. (1967). Methods of estimating basic demographic measures from incomplete data. New York.
- Estimates of Survival of Diabetics from Repeated, Independent Sample Surveys
Population Research and Policy Review
Volume 32, Issue 2 , pp 183-198
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
- Additional Links
- Survival ratio
- Death rate