Title : Heterogeneity of trajectories of 3 aging indicators in the general population.
Team CRESS: EpiAgeing : Epidemiology of Ageing & Neurodegenerative diseases, Inserm U1153
Team leader : Archana Singh-Manoux, Séverine Sabia
Activity location: Université de Paris, Inserm U1153, 10 avenue de Verdun, 75010 Paris
Supervision: Benjamin Landré, Ian Meneghel Danilevicz
Topic : The ageing of the population increases the individual and societal challenges of maintaining a good level of health and autonomy among older adults. Three central indicators (multimorbidity, disability and frailty) are commonly used to describe the health of aging people before death, in the general population. The evolution of these indicators is the subject of many research studies, which, however, mainly examine them independently or in pairs. This provides only an incomplete description of possible aging trajectories in the population, and also limits the possibilities of identifying the modifiable or structural factors involved, at different ages of life, in the most deleterious trajectories.
The aim of this internship is to study the ageing trajectories of people aged 50 and over, in a general population, by identifying the main existing trajectories and assessing the factors (socio-demographic and health behaviours) associated with them. Sequence analysis (multidomain sequence analysis, probalistic suffix trees) and clustering (k-mean, k-medoids) methods will be used to model and understand the trajectories of the three aging indicators evaluated simultaneously. These analyses will be carried out on data from the Gateway to Global Aging harmonized cohorts (HRS, ELSA, TILDA) involving several tens of thousands of participants with follow-up for up to 20 years. Good programming skills (R software) and knowledge of statistics (clustering, sequence analysis) are expected for this project.
Contact : Benjamin Landré, email : benjamin.landre@inserm.fr
