Grant: Operating Grant

Will life expectancy continue to increase? Will the rise in obesity result in more heart disease and stroke? To what degree can health inequities be reduced through improvements in health behaviours? There are notable gaps in knowledge for all these questions. In the clinical setting, predictive risk algorithms are widely used to estimate individual risk of future disease. Risk prediction algorithms are also valuable for public health purposes, like predicting disease incidence trends and evaluating the impact of population health strategies. We propose a four-year series of research projects to examine, for the first time ever, health surveys in Canada, the United States and Scotland linked to mortality and cardiovascular disease. We will develop new tools to predict future health of populations.