Generational differences in loneliness and its psychological and sociodemographic predictors: an exploratory and confirmatory machine learning study

Abstract

Different individual and social factors might underlie loneliness differences in distinct age groups. Machine learning methods have the potential to unveil novel associations between psychological and social variables, particularly interactions, and mental health outcomes.