Mortality disparities between geographic regions : results from a risk percentiles model for coronary heart disease

Stevenson, Christopher, Mannan, Haider R., Peeters, Anna, Walls, Helen, Magliano, Dianna and McNeil, John J. 2010, Mortality disparities between geographic regions : results from a risk percentiles model for coronary heart disease, in APHA 2010 : Social justice : A public health imperative : Proceedings of the 138th Annual Meeting of the American Public Health Association, American Public Health Association, [Denver, Colo.].

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Title Mortality disparities between geographic regions : results from a risk percentiles model for coronary heart disease
Author(s) Stevenson, Christopher
Mannan, Haider R.
Peeters, Anna
Walls, Helen
Magliano, Dianna
McNeil, John J.
Conference name American Public Health Association. Meeting (138th : 2010 : Denver, Colo.)
Conference location Denver, Colo.
Conference dates 6-10 Nov. 2010
Title of proceedings APHA 2010 : Social justice : A public health imperative : Proceedings of the 138th Annual Meeting of the American Public Health Association
Editor(s) [Unknown]
Publication date 2010
Conference series American Public Health Association. Meeting
Publisher American Public Health Association
Place of publication [Denver, Colo.]
Keyword(s) health disparities
methodology
Summary Background: Planning of disease prevention strategies requires information regarding the distribution of absolute risk in the population to allow targeting of people at high disease risk. It is well known that death rates from coronary heart disease (CHD) are higher in remote areas of Australia compared with major cities. Less well understood is the distribution of the absolute risk of CHD death within the different geographic regions. We present a mathematical model of CHD which projects the lifetime risk of death among individuals in different percentiles of CHD risk. We apply this to model the distribution of CHD risk within different geographic regions.

Methods: Using information from the Framingham1, MRFIT2 and AusDiab3 studies, the Australian population was divided into percentiles of CHD risk within age and gender groups by geographic location. Absolute mortality risk was determined at each percentile using current Australian mortality data. Survival curves were generated for each percentile using these risk estimates. Approximate confidence intervals were derived using bootstrap methods.

Conclusions: The difference in life expectancy at age 25 between those in the lowest decile of CHD risk compared to the highest was 5.8 years (95%CI:4.7,6.7) in major cities compared to 8.5 years (95%CI:7.6,9.7) in remote areas. The difference in risk of premature death (before age 75) was 12% (95%CI:10%,14%) in major cities compared to 33% (95%CI:28%,38%) in remote areas.
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category E3.1 Extract of paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30046675

Document type: Conference Paper
Collection: School of Health and Social Development
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