WP3: Describing patterns of trajectories, determinants and inequalities of healthy ageing

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WP Leader: KCL; Prof Martin Prince.

Health trajectories and determinants of healthy ageing will be systematically assessed. The models created in the previous stage will be employed to identify biological, lifestyle, medical and social determinants of healthy ageing across the life span and to identify variations in ageing trajectories associated to socio-demographic factors such as socioeconomic position and gender. Statistical methods such as Growth curve Mixture Modelling approach using Markov Chain Monte Carlo method will provide transition probabilities to identify groups of people that share a trajectory pattern and to explore variations in trajectories across groups at different stages of demographic transition. Age-Period-Cohort analysis will be employed to analyse if subsequent cohorts of older adults are ageing in a healthier manner.