Details:

Alternative Title:
Popul Health Metr
Personal Author:
Cheng, Yiling J. ; Gregg, Edward W. ; Rolka, Deborah B. ; Thompson, Theodore J.
Cheng, Yiling J. ; Gregg, Edward W. ; Rolka, Deborah B. ; Thompson, Theodore J. Less -
Description:
Background

Monitoring national mortality among persons with a disease is important to guide and evaluate progress in disease control and prevention. However, a method to estimate nationally representative annual mortality among persons with and without diabetes in the United States does not currently exist. The aim of this study is to demonstrate use of weighted discrete Poisson regression on national survey mortality follow-up data to estimate annual mortality rates among adults with diabetes.

Methods

To estimate mortality among US adults with diabetes, we applied a weighted discrete time-to-event Poisson regression approach with post-stratification adjustment to national survey data. Adult participants aged 18 or older with and without diabetes in the National Health Interview Survey 1997–2004 were followed up through 2006 for mortality status. We estimated mortality among all US adults, and by self-reported diabetes status at baseline. The time-varying covariates used were age and calendar year. Mortality among all US adults was validated using direct estimates from the National Vital Statistics System (NVSS).

Results

Using our approach, annual all-cause mortality among all US adults ranged from 8.8 deaths per 1,000 person-years (95% confidence interval [CI]: 8.0, 9.6) in year 2000 to 7.9 (95% CI: 7.6, 8.3) in year 2006. By comparison, the NVSS estimates ranged from 8.6 to 7.9 (correlation = 0.94). All-cause mortality among persons with diabetes decreased from 35.7 (95% CI: 28.4, 42.9) in 2000 to 31.8 (95% CI: 28.5, 35.1) in 2006. After adjusting for age, sex, and race/ethnicity, persons with diabetes had 2.1 (95% CI: 2.01, 2.26) times the risk of death of those without diabetes.

Conclusion

Period-specific national mortality can be estimated for people with and without a chronic condition using national surveys with mortality follow-up and a discrete time-to-event Poisson regression approach with post-stratification adjustment.


Subjects:
[+]
Complex Survey Discrete Survival Time Mortality Poisson Regression Research Surveillance Survival Analysis
Source:
Popul Health Metr. 14.
Pubmed ID:
27978825
Pubmed Central ID:
PMC5160024
Document Type:
Journal Article
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:b4f60cefcf211ecf0d985fcafc75db283430d2857d1e22a8e7ec5d0f2b7311f3
Download URL:
https://stacks.cdc.gov/view/cdc/43640/cdc_43640_DS1.pdf
File Type:

Supporting Files

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