Using self-report measures to lower the cost of population heart health assessment in New Brunswick

This paper describes the development and feasibility testing of a multivariate equation that uses self-report information rather than physiological measures to estimate coronary heart disease (CHD) risk in a population sample of New Brunswick adults with no reported history of heart disease. The multivariate Framingham risk prediction model, which uses a variety of selfreport and physiological measures to estimate CHD risk, was first used to calculate CHD risk in the population sample.