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A Model for Ischaemic Heart Disease and Stroke II: Modelling Obesity

Published online by Cambridge University Press:  10 May 2011

T. Chatterjee ,
A. S. Macdonald  and
H. R. Waters
H. R. Waters
Affiliation:
Department of Actuarial Mathematics and Statistics, and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K., Email: H.R.Waters@hw.ac.uk
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Abstract

This is the second in a series of three papers. In the first paper we describe a comprehensive stochastic model of an individual's lifetime that includes diagnosis with ischaemic heart disease and stroke and also the development of the major risk factors for these conditions. The third paper is devoted to some applications of this model.

In this paper we discuss the effect of BMI on diabetes, heart disease and mortality and we use data from the Framingham Heart Study and the Health Survey for England to develop stochastic models for changes in an individual's BMI. Some of these models incorporate time trends leading to increasing prevalence of obesity. We then use these models to investigate how future expected lifetime and future expected healthy lifetime depend on BMI.

Our conclusions are that if the prevalence of obesity increases, even to an extreme degree, then the prevalence of diabetes and hypertension in the population will increase, possibly to a significant extent, but the prevalence of heart disease and stroke will increase by a much smaller amount and the effect on expected future lifetime will be small.

Keywords

Body Mass IndexDiabetesFramingham Heart StudyHypertensionIschaemic Heart DiseaseMarkov ModelMortalityObesitySmokingStroke
Type
Papers
Information
Annals of Actuarial Science , Volume 3 , Issue 1-2 , September 2008 , pp. 83 - 103
Copyright
Copyright © Institute and Faculty of Actuaries 2008

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References

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