Machine Learning Uncovers Drivers of Late-Life Generativity
A new study using machine learning identifies key factors associated with maximizing late-life generativity.
Key points
- Recent research explored which factors influence generativity in our later years.
- These factors are social potency, openness, social integration, personal growth, and achievement orientation.
- Generativity is influenced by how we view ourselves against the backdrop of our life story.
With the global population aging, and rising concerns about mental health, loneliness, and social isolation, understanding and enhancing later-life satisfaction has become increasingly crucial for both individual and global health and productivity. The World Health Organization [1] reports that by 2030, one out of six people will be 60 years or older, comprising 1.4 billion people, with those over 80 approaching half a billion.
Given the vast scope of this issue, it’s surprising that we have a limited understanding of what preserves and enhances generativity in our later years, as research to date is still early-on. Along similar lines, increased generativity would be expected to enhance well-being, and protect against many of the negative outcomes currently associated with aging. With the global population…
