Using Artificial Intelligence to assess the impact of social, physical, and financial health and personality on subjective well-being in a representative, multinational sample of older European and Israeli adults.

Journal: Journal of global health
Published Date: Jun 27, 2025

Abstract

BACKGROUND: Subjective well-being (SWB) is an important outcome influenced by other aspects of health and personality. However, we know little about the independent effects of multiple health and personality dimensions on SWB in large, representative international samples. Artificial Intelligence (AI) models are particularly well-suited to detect multi-factor patterns in complex topics such as SWB.

Authors

  • Philip J Moore
    Department of Psychological and Brain Sciences, The George Washington University, Washington, DC, USA.
  • Germano Vera Cruz
    UR 7273 CRP-CPO, Department of Psychology, University of Picardie Jules Verne, Bât E-1, Chemin du Thil, 80025, Amiens, France. germano.vera.cruz@u-picardie.fr.
  • Thomas Maurice
    EA 2249 CRIEF, Department of Health Economics, University of Poitiers, Poitiers, France.
  • Cynthia A Rohrbeck
    Department of Psychological and Brain Sciences, The George Washington University, Washington, DC, USA.
  • Yasser Khazaal
    Department of Addiction Medicine, Lausanne University Hospital, Lausanne University, Lausanne, Switzerland.
  • Fallon R Goodman
    Department of Psychological & Brain Sciences, The George Washington University, Washington DC, USA.

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