Paranoia in patients attending child and adolescent mental health services

The developmental course of adolescent paranoia: a longitudinal analysis of the interacting role of mistrust and general psychopathology

Paranoia is the erroneous idea that people are targeting you for harm, and the cognitive model suggests that symptoms increase with emotional and relational distress. A factor potentially associated with paranoia is mistrust, a milder form of suspiciousness. This study investigated the longitudinal course of non-clinical paranoia in a sample of 739 students (age range 10-12 at baseline assessment, 12-14 at second assessment) using data from the Social Mistrust Scale (SMS) and the paranoia subscale of the Specific Psychotic Experiences Questionnaire (SPEQ). Prevalence of mistrustful and high paranoia children was 14.6 and 15% respectively. Independently, baseline internalizing symptoms (b = 0.241, p < 0.001) and mistrust (b = 0.240, p < 0.001) longitudinally predict paranoia after controlling for confounders. The interaction of mistrust and internalizing symptoms at T1 increases the possibility of the onset of paranoia at T2. Therefore, the effect of mistrust on paranoia is more marked when internalizing symptoms are higher. Our results confirm the role of mistrust as a factor involved in the developmental trajectory of paranoia in adolescence, enhanced by the presence of internalizing symptoms. The implications of these results are both theoretical and clinical, as they add developmental information to the cognitive model of paranoia and suggests the assessment and clinical management of mistrust and internalizing symptoms in youth may be useful with the aim of reducing the risk of psychotic experiences.

Modelling the longitudinal dynamics of paranoia in psychosis: A temporal network analysis over 20 years

BACKGROUND

Paranoia is a key feature of psychosis that can be highly debilitating. Theories of paranoia mostly interface with short-scale or cross-sectional data models, leaving the longitudinal course of paranoia underspecified.

METHODS

We develop an empirical characterisation of two aspects of paranoia - persecutory and referential delusions - in individuals with psychosis over 20 years. We examine delusional dynamics by applying a Graphical Vector Autoregression Model to data collected from the Chicago Follow-up Study (n = 135 with a range of psychosis-spectrum diagnoses). We adjusted for age, sex, IQ, and antipsychotic use.

RESULTS

We found that referential and persecutory delusions are central themes, supported by other primary delusions, and are strongly autoregressive - the presence of referential and persecutory delusions is predictive of their future occurrence. In a second analysis we demonstrate that social factors influence the severity of referential, but not persecutory, delusions.

IMPLICATIONS

We suggest that persecutory delusions represent central, resistant states in the cognitive landscape, whereas referential beliefs are more flexible, offering an important window of opportunity for intervention. Our data models can be collated with prior biological, computational, and social work to contribute toward a more complete theory of paranoia and provide more time-dependent evidence for optimal treatment targets.

Measuring Paranoid Beliefs in Adolescents: A Comparison of the Revised-Green et al.'s Paranoid Thoughts Scale (R-GPTS) and the Bird Checklist of Adolescent Paranoia (B-CAP)

Research on paranoid beliefs in adolescents is in its infancy. Valid and reliable assessments are essential to advancing the field, yet there is no current consensus as to which are optimal to use in this population. This study compared the psychometric properties of two measures of paranoia in a general population adolescent sample. A cross-sectional study with quota sampling (gender and age) recruited adolescents (14-17 years) from the UK (n = 262) and USA (n = 200), who completed the Revised Green et al. Paranoid Thoughts Scale (R-GPTS) and the Bird Checklist for Adolescent Paranoia (B-CAP). We assessed factor structures, intercorrelations, overlap of participants identified as at-risk for paranoid thoughts via both scales, convergent validity (scales with one another) and discriminant validity (distress, wellbeing, bullying and discrimination). Both scales performed equally well in terms of factorial validity. Intercorrelations between the subscales and with general distress were high for both measures. However, a substantial percentage of participants were identified as having paranoid beliefs according to the R-GPTS but not the B-CAP. Furthermore, the B-CAP showed a very high correlations (0.69 ≤ r ≤ 0.79) with self-reported bullying experiences, which bordered on multicollinearity. Findings highlight the possibility that B-CAP may risk confounding paranoid beliefs with exposure to bullying more so than R-GPTS, and that B-CAP may miss instances of elevated paranoia that are captured by the R-GPTS. Future research needs to further explore this by validating both scales with an external (e.g., interview-based) criterion for paranoia.

Media Use and Its Associations With Paranoia in Schizophrenia and Bipolar Disorder: Ecological Momentary Assessment

Background

Paranoia is a spectrum of fear-related experiences that spans diagnostic categories and is influenced by social and cognitive factors. The extent to which social media and other types of media use are associated with paranoia remains unclear.

Objective

We aimed to examine associations between media use and paranoia at the within- and between-person levels.

Methods

Participants were 409 individuals diagnosed with schizophrenia spectrum or bipolar disorder. Measures included sociodemographic and clinical characteristics at baseline, followed by ecological momentary assessments (EMAs) collected 3 times daily over 30 days. EMA evaluated paranoia and 5 types of media use: social media, television, music, reading or writing, and other internet or computer use. Generalized linear mixed models were used to examine paranoia as a function of each type of media use and vice versa at the within- and between-person levels.

Results

Of the 409 participants, the following subgroups reported at least 1 instance of media use: 261 (63.8%) for using social media, 385 (94.1%) for watching TV, 292 (71.4%) for listening to music, 191 (46.7%) for reading or writing, and 280 (68.5%) for other internet or computer use. Gender, ethnoracial groups, educational attainment, and diagnosis of schizophrenia versus bipolar disorder were differentially associated with the likelihood of media use. There was a within-person association between social media use and paranoia: using social media was associated with a subsequent decrease of 5.5% (fold-change 0.945, 95% CI 0.904-0.987) in paranoia. The reverse association, from paranoia to subsequent changes in social media use, was not statistically significant. Other types of media use were not significantly associated with paranoia.

Conclusions

This study shows that social media use was associated with a modest decrease in paranoia, perhaps reflecting the clinical benefits of social connection. However, structural disadvantage and individual factors may hamper the accessibility of media activities, and the mental health correlates of media use may further vary as a function of contents and contexts of use.

Mapping the role of sexuality in adolescent mental health and substance use

Individuals who belong to a sexual minority are at greater risk of adverse health and social outcomes. These effects are observed during adolescence when many mental health problems, such as depression, first emerge. Here, we used a network analytic approach to better understand the role that sexual minority status plays in the association between depression, interpersonal difficulties and substance use in a large sample of mid-adolescents. In doing so, we used data from 8017 fourteen year olds from the UK's Millennium Cohort Study, of which 490 self-identified as belonging to a sexual minority. We found that sexual minority status was highly central in the network and connected to multiple adverse outcomes, sometimes directly and sometimes indirectly. The largest single association was between sexual minority status and depression, and this link mediated multiple negative associations with being in a sexual minority. The shortest path to drinking, poor social support and closeness with parents and victimization occurred via depression. The shortest path to smoking and drug use occurred via conduct problems. We also identified three distinct profiles of adverse outcomes among those belonging to a sexual minority, highlighting the heterogeneous nature of this group.

Insomnia moderates the association between psychotic-like experiences and suicidal ideation in a non-clinical population: a network analysis

Psychotic-like experiences (PLEs) have been associated with poor sleep quality and increased suicide risk. However, the association between PLEs, insomnia and suicide risk has not been thoroughly investigated in prior studies. In this study, we aimed to explore as to whether insomnia moderates the association between PLEs and suicidal ideation. The study was performed in 4203 young adults (aged 18-35 years, 63.8% females). Data were collected using self-reports. Moderation analysis demonstrated that PLEs are associated with higher levels of the current suicidal ideation only in participants with greater severity of insomnia (B = 0.003, p < 0.001). This analysis included age, gender, education, occupation and depressive symptoms as covariates. Moreover, the network analysis demonstrated that nodes representing PLEs are connected to the node of current suicidal ideation only in participants with greater severity of insomnia. The nodes of PLEs connected to the current suicidal ideation node captured PLEs representing deja vu experiences, auditory hallucination-like experiences and paranoia (edge weights between 0.011 and 0.083). Furthermore, nodes representing PLEs were the three most central nodes in the network analysis of individuals with higher levels of insomnia (strength centrality between 0.96 and 1.10). In turn, the three most central nodes were represented by depressive symptoms in the network analysis of individuals with lower levels of insomnia (strength centrality between 0.67 and 0.79). Findings from this study indicate that insomnia might be an important risk factor of suicide in people with PLEs, especially those reporting deja vu experiences, auditory hallucination-like experiences and paranoia.

A Child-Parent Dyad Study on Adolescent Paranoia and the Influence of Adverse Life Events, Bullying, Parenting Stress, and Family Support

BACKGROUND

Paranoid beliefs commonly occur in the general adolescent population. Exposure to adverse life events (ALEs) and/or bullying are important environmental risk factors. The extent to which others, especially parents, are available to help a young person cope with stressful situations may offset this risk.

STUDY DESIGN

A cross-sectional adolescent-parent dyad design (n = 142 pairs) was used to test whether an adolescent's perception of being supported by their family, and/or the parent's perception of stress and burden in their parenting role, moderated the association between environmental risk and adolescent paranoid beliefs.

STUDY RESULTS

Moderation analysis indicated that ALEs were significantly associated with adolescent paranoid beliefs when parents reported high stress and burden in their parenting role. Conversely, at low and moderate levels of parental stress, ALEs were unrelated to paranoid beliefs. Bullying was strongly associated with paranoia, with no moderation effects. The adolescent's perception of support within their family had no moderating effects.

CONCLUSIONS

Findings indicate that the focus of prevention should be shifted beyond just families of adolescents who are experiencing psychosis and/or have high "at-risk" profiles, to families of adolescents exposed to ALEs. Targeted support for parents to help reduce parental stress and burden, and help foster protective family environments even in the face of ALEs, is an important avenue for reducing the risk of paranoid beliefs in adolescents. Further research is required to better understand how to offset the deleterious effect of bullying on paranoid beliefs in adolescents.

Explaining paranoia: cognitive and social processes in the occurrence of extreme mistrust

BACKGROUND

Paranoia-incorrectly thinking that others are deliberating trying to harm you-causes distress, undermines social interactions and leads to withdrawal. It presents across multiple psychiatric diagnoses.

OBJECTIVE

The primary aim was to determine the extent that cognitive and social processes may explain paranoia. The secondary aim was to identify explanatory factors that distinguished paranoia and social anxiety.

METHODS

10 382 UK adults, quota sampled to match the population for age, gender, ethnicity, income and region, participated in a non-probability survey. All participants completed a paranoia measure and assessments of cognitive and social processes. Structural equation modelling was conducted.

FINDINGS

2586 (24.9%) participants described being mistrustful of other people. 1756 (16.9%) participants wanted help to trust more. 66.7% of variance in paranoia was explained by a model comprising (in descending order of importance): within-situation defence behaviours, negative images, negative self-beliefs, discrimination, dissociation, aberrant salience, anxiety sensitivity, agoraphobic distress, worry, less social support, agoraphobic avoidance, less analytical reasoning and alcohol use. All explanatory factors were associated with paranoia and social anxiety. Ten factors were more closely associated with paranoia than social anxiety, including discrimination, hallucinations, negative images, aberrant salience and alcohol use. Nine factors were more closely associated with social anxiety, including less positive self-belief, an external locus of control, worry and less analytical reasoning.

CONCLUSIONS

Multiple causes are likely to be involved in paranoia. Cognitive and social processes may explain a high degree of paranoia.

CLINICAL IMPLICATIONS

Multiple clear targets for intervention to reduce paranoia are identified.

Schematic beliefs, negative affect and paranoia in at-risk youth

OBJECTIVES

Attenuated symptoms of psychosis are a core feature of At-Risk Mental States. However, subthreshold levels of paranoia are also common among nonpsychosis populations. At present, little is known about whether the processes underpinning the experience of paranoid ideation in high-risk youth differ as a consequence of meeting At-Risk Mental States (ARMS) for psychosis criteria.

METHODS

This study utilized path analysis techniques to examine the relationships between schematic beliefs, negative affect and the experience of paranoia for two groups: a group meeting criteria for ARMS (n = 133) and a group presenting with emerging complex mental health difficulties who did not meet the criteria for ARMS (n = 137).

RESULTS

While the ARMS group displayed significantly greater maladaptive schematic beliefs and more severe symptomatology, the associations between schematic beliefs, symptoms of negative affect and paranoia did not differ as a consequence of ARMS status.

CONCLUSIONS

While meeting the ARMS criteria is associated with experiencing more maladaptive cognitions and more negative symptomatology among at-risk youth, the associations between these cognitive beliefs and symptoms may be similar for youth who do not meet ARMS. These findings have implications for broadening the scope of at-risk/high-risk and for developing effective interventions for young people presenting with emerging difficulties.

The journey of adolescent paranoia: A qualitative study with patients attending child and adolescent mental health services

OBJECTIVES

Paranoia is most likely to emerge in adolescence. In adolescents with mental health disorders, the disruptive effect of paranoia on social relationships could worsen outcomes. However, little is known about clinical presentations of paranoia at this age. We therefore explored the development, experience, and impact of paranoia in adolescent patients.

DESIGN

A qualitative interview design with interpretative phenomenological analysis was used.

METHOD

Twelve adolescents (11-17 years) with paranoia attending child and adolescent mental health services were interviewed.

RESULTS

Adolescents described a journey starting with their awareness of paranoia beginning to a paranoid experience of mistrust and fear of others, and, subsequently, their adjustment to paranoia in daily life. Paranoia onset was rooted in the discovery of interpersonal threat and personal vulnerability, shaped by challenging peer interactions, becoming aware of danger in the world, and personal adverse experiences. The paranoia experience included a struggle to trust friends, anticipating threat with intense fear, and using defensive strategies to keep safe. Adolescents described how the paranoia experience was confusing, negatively impacted self-concept, held them back from teenage life, and caused disconnection from friends. Longer-term responses to paranoia reflected a tension between reluctantly resigning to the experience and trying to resist the impact.

CONCLUSIONS

The journey of paranoia in adolescence involves navigating multiple tensions, with young people balancing independence with vulnerability, trust with mistrust, and the desire to socialise with a fear of danger and deception. Decisions about how to respond to paranoia are likely to determine the next stage of their journey.

Annual Research Review: Translational machine learning for child and adolescent psychiatry

Children and adolescents could benefit from the use of predictive tools that facilitate personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been deployed using traditional statistical methods, potentially due to the limitations of the paradigm and the need to leverage large amounts of digital data. This review will suggest that a machine learning approach could address these challenges and is designed to introduce new readers to the background, methods, and results in the field. A rationale is first introduced followed by an outline of fundamental elements of machine learning approaches. To provide an overview of the use of the techniques in child and adolescent literature, a scoping review of broad trends is then presented. Selected studies are also highlighted in order to draw attention to research areas that are closest to translation and studies that exhibit a high degree of experimental innovation. Limitations to the research, and machine learning approaches generally, are outlined in the penultimate section highlighting issues related to sample sizes, validation, clinical utility, and ethical challenges. Finally, future directions are discussed that could enhance the possibility of clinical implementation and address specific questions relevant to the child and adolescent psychiatry. The review gives a broad overview of the machine learning paradigm in order to highlight the benefits of a shift in perspective towards practically oriented statistical solutions that aim to improve clinical care of children and adolescents.

Clinical high-risk criteria of psychosis in 8–17-year-old community subjects and inpatients not suspected of developing psychosis

BACKGROUND

In children and adolescents compared to adults, clinical high-risk of psychosis (CHR) criteria and symptoms are more prevalent but less psychosis-predictive and less clinically relevant. Based on high rates of non-converters to psychosis, especially in children and adolescents, it was suggested that CHR criteria were: (1) Pluripotential; (2) A transdiagnostic risk factor; and (3) Simply a severity marker of mental disorders rather than specifically psychosis-predictive. If any of these three alternative explanatory models were true, their prevalence should differ between persons with and without mental disorders, and their severity should be associated with functional impairment as a measure of severity.

AIM

To compare the prevalence and severity of CHR criteria/symptoms in children and adolescents of the community and inpatients.

METHODS

In the mainly cross-sectional examinations, 8–17-year-old community subjects (n = 233) randomly chosen from the population register of the Swiss Canton Bern, and inpatients (n = 306) with primary diagnosis of attention-deficit/hyperactivity disorder (n = 86), eating disorder (n = 97), anxiety including obsessive–compulsive disorder (n = 94), or autism spectrum disorder (n = 29), not clinically suspected to develop psychosis, were examined for CHR symptoms/criteria. Positive items of the Structured Interview for Psychosis-Risk Syndromes (SIPS) were used to assess the symptomatic ultra-high-risk criteria, and the Schizophrenia Proneness Instrument, Child and Youth version (SPI-CY) was used to assess the 14 basic symptoms relevant to basic symptom criteria. We examined group differences in frequency and severity of CHR symptoms/criteria using χ² tests and nonparametric tests with Cramer’s V and Rosenthal’s r as effect sizes, and their association with functioning using correlation analyses.

RESULTS

The 7.3% prevalence rate of CHR criteria in community subjects did not differ significantly from the 9.5% rate in inpatients. Frequency and severity of CHR criteria never differed between the community and the four inpatient groups, while the frequency and severity of CHR symptoms differed only minimally. Group differences were found in only four CHR symptoms: suspiciousness/persecutory ideas of the SIPS [χ² (4) = 9.425; P = 0.051, Cramer’s V = 0.132; and Z = -4.281, P < 0.001; Rosenthal’s r = 0.184], and thought pressure [χ² (4) = 11.019; P = 0.026, Cramer’s V = 0.143; and Z = -2.639, P = 0.008; Rosenthal’s r = 0.114], derealization [χ² (4) = 32.380; P < 0.001, Cramer’s V = 0.245; and Z = -3.924, P < 0.001; Rosenthal’s r = 0.169] and visual perception disturbances [χ² (4) = 10.652; P = 0.031, Cramer’s V = 0.141; and Z = -2.822, P = 0.005; Rosenthal’s r = 0.122] of the SPI-CY. These were consistent with a transdiagnostic risk factor or dimension, i.e., displayed higher frequency and severity in inpatients, in particular in those with eating, anxiety/obsessive–compulsive and autism spectrum disorders. Low functioning, however, was at most weakly related to the severity of CHR criteria/symptoms, with the highest correlation yielded for suspiciousness/persecutory ideas (Kendall’s tau = -0.172, P < 0.001).

CONCLUSION

The lack of systematic differences between inpatients and community subjects does not support suggestions that CHR criteria/symptoms are pluripotential or transdiagnostic syndromes, or merely markers of symptom severity.