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A Temporal Network Approach to Paranoia: A Pilot Study.

ABSTRACT: Paranoid beliefs have been conceptualized as a central psychological process linked to schizophrenia and many mental disorders. Research on paranoia has indicated that it is pivotal to consider not only levels but also dynamic aspects of incriminated related mechanisms over time. In the present study, we conceptualized paranoia as a system of interacting elements. To do so, we used temporal network analysis to unfold the temporal dynamics between core psychological paranoia-related mechanisms, such as self-esteem, sadness, feeling close to others, and experiential avoidance. Time-series data of 23 participants with high scores in paranoia and/or interpersonal sensitivity were collected via experience sampling methodology (ESM). We applied a multilevel vector autoregressive (mlVAR) model approach and computed three distinct and complementary network models (i.e., contemporaneous, temporal, and between-subject) to disentangle associations between paranoia-related mechanisms in three different time frames. The contemporaneous model indicated that paranoia and sadness co-occurred within the same time frame, while sadness was associated with both low self-esteem and lack of closeness to others. The temporal model highlighted the importance of feeling close to others in predicting low paranoia levels in the next time frame. Finally, the between-subject model largely replicated an association found in both contemporaneous and temporal models. The current study reveals that the network approach offers a viable data-driven methodology for elucidating how paranoia-related mechanisms fluctuate over time and may determine its severity. Moreover, this novel perspective may open up new directions toward identifying potential targets for prevention and treatment of paranoia-related problems.

SUBMITTER: Contreras A

PROVIDER: S-EPMC7530190 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A Temporal Network Approach to Paranoia: A Pilot Study.

Contreras Alba A Valiente Carmen C Heeren Alexandre A Bentall Richard R

Frontiers in psychology 20200918

Paranoid beliefs have been conceptualized as a central psychological process linked to schizophrenia and many mental disorders. Research on paranoia has indicated that it is pivotal to consider not only levels but also dynamic aspects of incriminated related mechanisms over time. In the present study, we conceptualized paranoia as a system of interacting elements. To do so, we used temporal network analysis to unfold the temporal dynamics between core psychological paranoia-related mechanisms, s ...[more]

PMID: 33041912

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Project description:OBJECTIVE:Previous research has suggested that paranoia is associated with impaired social functioning in patients with schizophrenia and healthy individuals with high levels of paranoid ideation. This study analysed the relationship between paranoia and interpersonal functioning across the paranoia continuum using network analysis. METHOD:Levels of paranoid ideation and interpersonal functioning were measured in a non-clinical sample (N = 853) and in patients with schizophrenia spectrum disorders (N = 226). Network analyses were used to examine the nature of paranoia's relation to interpersonal functioning in both populations. RESULTS:Although the most central characteristic of paranoia in both samples was the feeling of being talked about behind one's back, across samples, individual characteristics were differentially related to various aspects of interpersonal functioning. Among clinical individuals, difficulties in interpersonal functioning were related to perceived previous experiences of being treated poorly by others, whereas among the non-clinical sample, interpersonal functioning was related to negative beliefs about others. CONCLUSIONS:The current results support previous findings linking paranoid ideation to interpersonal functioning in both clinical and non-clinical samples. Patterns of these relationships differed slightly across groups. Results in general support a continuum model of paranoia. PRACTITIONER POINTS:Network analyses were used to identify central aspects of persecutory ideation in both clinical and non-clinical samples. Qualitative assessment of clinical and non-clinical networks revealed similar central symptoms and supported a continuum model of paranoia. Central aspects of paranoia, that is, feeling that others have talked about oneself behind one's back, being disappointed by others, and having distressing feelings of being watched by others, were associated with deficits in interpersonal functioning in both samples. Central aspects of paranoia may be beneficial targets for psychosocial interventions aimed at reducing paranoid ideation and improving interpersonal functioning. Demographic characteristics for this study differed between samples which may limit generalization of findings. Future research is needed to explore temporal associations and moment-to-moment dynamics between paranoid ideation and problems in interpersonal functioning.

Dataset Information

A Temporal Network Approach to Paranoia: A Pilot Study.

Publications

A Temporal Network Approach to Paranoia: A Pilot Study.

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