Background: Several studies have shown that social isolation and loneliness are associated with the occurrence of psychotic experiences. However, dynamics of these phenomena in people with subclinical experiences, commonly referred to as psychotic-like experiences (PLEs), remains largely unknown. Therefore, in this study we performed a temporal network analysis to model dynamic predictions between social isolation, loneliness, negative affect, social stress, and PLEs.
Methods: A total of 77 drug-naïve individuals with PLEs from a transdiagnostic sample were enrolled. Data were obtained using the experience sampling method (ESM). The ESM questionnaires were delivered during 7 consecutive days (6 assessments per day). Therefore, 3234 data entries were analyzed.
Results: Social isolation predicted next-moment emergence of PLEs through the effects on loneliness and negative affect. Also, PLEs appeared to predict next-moment loneliness, but not social isolation, through the effects on negative affect. Social stress did not predict any variables in the network. However, it was predicted by previous-moment PLEs and social isolation. Negative affect had the highest in-strength and out-strength centrality.
Conclusions: Findings from the present study indicate that social isolation might predict the emergence of PLEs through the effects of momentary loneliness and negative affect. Also, loneliness might be bidirectionally associated with PLEs. Interventions targeting negative affect and social isolation might be beneficial in people with PLEs.
Keywords: ecological momentary assessment; mood; psychosis; social determinants.
Copyright © 2024. Published by Elsevier Inc.