Longevity-risk-adjusted global age as a measure of well-being

Abstract

In this work, we show how the difference between chronological and biological age canbe investigated by sentiment indicators constructed using survey data (healthy life expectancy and personal life satisfaction). We invert the GM mortality model to computelongevity-risk-adjusted global age, detecting how an objective indicator (i.e., L-RaG age) mimics a sentiment indicator, thereby implying that human feeling relies on different lifestyle conditions.