Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community.

ABSTRACT: Social disconnection, including objective social isolation and subjective loneliness, is linked to substantial health risks. Yet, little is known about the predictors of social disconnection in individuals with mental illness. Here, we used machine learning to identify predictors of social isolation and loneliness in schizophrenia (N = 72), a psychiatric condition associated with social disconnection. For comparison, we also included two other groups: a psychiatric comparison sample of bipolar disorder (N = 48) and a community sample enriched for social isolation (N = 151). We fitted statistical models of social isolation and loneliness within and across groups. Each model included five candidate predictors: social avoidance motivation, depression, nonsocial cognition, social anhedonia, an

SUBMITTER: Abplanalp SJ 

PROVIDER: S-EPMC11455897 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature