Projecting health-ageing trajectories in Europe using a dynamic microsimulation model.

ABSTRACT: The extent of the challenges and opportunities that population ageing presents depends heavily on the population's health. Hence, for the development of appropriate strategies that enable countries to adopt the emerging demographic and epidemiological realities, information on future health trajectories of elderly population is a natural requirement. This study presents an innovative methodological framework for projecting the health of individuals using a dynamic microsimulation model that considers interactions between sociodemographic characteristics, health, mortality, bio-medical and behavioral risk factors. The model developed, called ATHLOS-Mic, is used to project the health of cohorts born before 1960 for the period 2015-2060 for selected European Countries using SHARE data to illu

SUBMITTER: Marois G 

PROVIDER: S-EPMC7815779 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature