CORMSIS Seminar Event

Abstract:

The relation between cardio vascular risk and functional decline (physical, mental and cognitive) is a key aspect of prevention in need of increased research attention. In this context there is considerable scope for prevention of adverse old age outcomes such as physical impairment and dementia by lowering the residual components of vascular risk. In development by University of Liverpool jointly with UCL, and funded by the British Heart Foundation, we proposed a discrete-time Markov chain to model the progression of a healthy population (aged 35-100 years old) from England and Wales until 2030 into different health states characterised mainly by the presence (absence) of cardiovascular disease, cognitive impairment no dementia, dementia and functional impairment. Those transitions between states are governed by age and sex dependent probabilities extracted from longitudinal studies such as Whitehall II study and ELSA. We also used data from the Office of National Statistics (ONS) to inform the demographic structure of the model. IMPACTBAM can explore different scenarios where levels of risk factors in the simulated population are targeted by specific policy interventions at different time points on the age and calendar time scales, thus making model outputs more relevant when exploring and evaluating the timing of specific public health interventions in ageing populations.