Temporal pathways from attachment insecurity to paranoia in a heterogeneous clinical sample: An experience sampling study.

INTRODUCTION: There has been growing interest in the role of attachment mechanisms in the onset and maintenance of paranoia. The latest systematic reviews of mixed samples of healthy individuals and psychiatric patients have revealed that increased trait attachment anxiety and avoidance are associated with experiencing paranoia, with trait attachment anxiety showing a stronger association. Few studies have examined attachment and paranoia in naturalistic conditions via the Experience Sampling Method. OBJECTIVES: The present study examined whether experiences of attachment anxiety and avoidance fluctuate in the flow of daily life, and whether a within-person change in both attachment states precedes the experience of momentary paranoia, and negative and positive emotions. METHODS: Thirty-seven clinical participants and twenty-six healthy controls were studied over six consecutive days using the Experience Sampling Method (ESM). An experience-in-close-relationships questionnaire (ECR-R 16 SF) was used to capture trait attachment dimensions. Several ESM items were used to capture momentary negative and positive affect, paranoia and attachment insecurity states. RESULTS: The findings revealed that fluctuations in both attachment insecurity states were significantly higher in the clinical group. A prior elevated attachment anxiety and avoidance was followed by an increase in negative affect in the next moment and elevated attachment avoidance was additionally followed by a decrease in positive affect and an increase in paranoia. CONCLUSION: Our findings reveal the specific temporal associations between momentary attachment insecurity states as predictors of change in emotions/affects and paranoia, along with evidence that state attachment avoidance has a superior impact on momentary affect and paranoia compared to state attachment anxiety. These results contrast with those of recent cross-sectional studies.

Connections between and within extended psychosis and autistic phenotypes and social relationships in the general population.

OBJECTIVES: Non - clinical individuals with higher levels of autistic traits and psychotic experiences also have problems in social relationships. Therefore, this study aimed to model complex associations between autistic and psychotic phenotypes and indicators of social relationships in the general population using a network approach. METHODS: The sample consisted of 649 participants with a mean age of M = 40.23 and SD = 13.09 sampled from the general population. The sample was representative for the 18-65 years old general population in the Slovak Republic. The following scales were administered: Community Assessment of Psychic Experiences, The Comprehensive Autistic Trait Inventory, and NIH Toolbox Adult Social Relationship Scales. Associations between variables and the presence of communities were identified using Exploratory Graph Analysis. RESULTS: Results revealed four highly stable and densely connected communities within the network: social relationships, autistic traits, positive symptoms, and the last one consisting of all negative symptoms, problems in social interactions, and depression. The most important variables in the network were difficulties in social interaction, perceived rejection, bizarre ideas, depression, and social withdrawal. CONCLUSIONS: The psychotic and autistic phenotypes in the general population showed a network of connections with characteristics of social relationships. Community detection revealed that autistic traits and psychotic-like experiences formed relatively independent communities. Further, there was substantial overlap between negative symptoms (e.g., social withdrawal), and core features of the autistic phenotype, especially social interaction difficulties.