A model to forecast the two-year variation of subjective wellbeing in the elderly population.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The ageing global population presents significant public health challenges, especially in relation to the subjective wellbeing of the elderly. In this study, our aim was to investigate the potential for developing a model to forecast the two-year variation of the perceived wellbeing of individuals aged over 50. We also aimed to identify the variables that predict changes in subjective wellbeing, as measured by the CASP-12 scale, over a two-year period.

Authors

  • Isotta Trescato
    Department of Information Engineering, University of Padova, Padova (PD), Italy.
  • Chiara Roversi
    Department of Information Engineering, University of Padova, Padova (PD), Italy.
  • Martina Vettoretti
    1 Department of Information Engineering, University of Padova, Padova, PD, Italy.
  • Barbara Di Camillo
  • Andrea Facchinetti