Important Correlates of Purpose in Life Identified Through a Machine Learning Approach.

ABSTRACT:

Objective

A wealth of evidence has linked purpose in life (PiL) to better mental and physical health and healthy aging. Here, the authors aimed to determine important correlates of PiL using a machine learning approach.

Methods

Participants were recruited from retirement communities by the Rush Memory and Aging Project and assessed for childhood experience, adulthood sociodemographic factors (e.g., education, income, marital status), lifestyle and health behavior (e.g., cognitively stimulating activities, exercise, social activities, social network size), psychological factors (e.g., depression, loneliness, perceived discrimination, perceived social support), personality traits (e.g., PiL, harm avoidance), and medical conditions. Elastic Net was implemented to identify impor

SUBMITTER: Mei Z 

PROVIDER: S-EPMC8004535 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature