Active Ageing Typologies and Related Health Outcomes: A Latent Class Analysis of the Older Europeans

Bruno Arpino, Universitat Pompeu Fabra
Valeria Bordone, Wittgenstein Centre (IIASA, VID/ÖAW, WU)

Against the background of population ageing, researchers and policymakers are increasingly interested in the factors that can allow people to age well. We consider different domains in the active ageing framework related to: participation in non-kin activities (e.g., voluntary work) and provision of care (e.g., to grandchildren). Our study is organized in three steps. First, by using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) and by applying Latent Class Analysis (LCA) we aim at identifying clusters of older people with similar engagement patterns. We will not only consider engagement in different activities but also intensity of engagement. Second, we will analyse the profiling of the clusters in order to study how individual variables are associated with the different active ageing typologies. Finally, we will analyse health differences across the different clusters.