Do help-seeking adolescents report more psychotic-like experiences than young adults on the 16-item version of the prodromal questionnaire (PQ-16)?

AIM: To compare psychotic-like experiences (PLEs) in adolescents and young adults referred to the Mental Health Services (MHSs). METHODS: Participants scored the 16-item Prodromal Questionnaire (PQ-16) as part of the intake procedure. Data on the Diagnostic and Statistical Manual of Mental Disorders (DSM) classification and demographic data were collected. RESULTS: The PQ-16 was completed by 13 783 respondents (mean age 24.63 years, SD = 6.09; 62.6% female). Overall, the scores on the PQ-16 were not higher for adolescents (11-17 years; m = 4.84, SD = 3.62) than for young adults (18-35 years; m = 5.47, SD = 3.85). On PQ-16 item level, adolescents reported seeing and hearing things more than adults did. Across all age groups, males scored lower on the PQ-16 than females. Specifically, adolescent males scored lower than other participants. For adolescents and young adults alike, PQ-16 scores were higher for participants with borderline personality disorder, PTSD, and mood disorder than for those with other DSM classifications. CONCLUSIONS: Although help-seeking adolescents did not score higher on the PQ-16 than help-seeking young adults, more of them reported perceptual anomalies. Irrespective of age, participants with borderline personality disorder, PTSD and mood disorder scored higher on the PQ-16 than those with other DSM classifications.

Societal recovery trajectories in people with a psychotic disorder in long term care: a latent class growth analysis.

PURPOSE: For many individuals with a psychotic disorder societal recovery is not accomplished. Research on societal recovery trajectories is mostly focussed on patients with a first episode psychosis. The present study aims to identify distinct societal trajectories in those with long duration of illness, through the identification of patient subgroups that are characterized by homogeneous trajectories. METHODS: Longitudinal data were used from an ongoing dynamic cohort in which people with a psychotic disorder receive yearly measurements to perform a latent class growth analysis. Societal functioning was assessed with the Functional Recovery tool, consisting of three items (1) daily living and self-care, (2) work, study and housekeeping, and (3) social contacts. Furthermore, logistic regression was used to compare subgroups with similar societal recovery at baseline, but distinct trajectories. RESULTS: A total of 1476 people were included with a mean treatment time of 19 years (SD 10.1). Five trajectories of functioning were identified, a high stable (24.5%), a medium stable (28.3%), a low stable (12.7%), a high declining (11.2%) and a medium increasing subgroup (23.3%). Predictors for not deteriorating included happiness, recent hospitalisation, being physically active, middle or higher education and fewer negative symptoms. Predictors for improving included fewer positive and negative symptoms, fewer behavioural problems and fewer physical and cognitive impairments. CONCLUSION: While the majority of individuals show a stable trajectory over four years, there were more patients achieving societal recovery than patients deteriorating. Predictors for improvement are mainly related to symptoms and behavioural problems, while predictors for deteriorating are related to non-symptomatic aspects such as physical activity, happiness and level of education.

Do Cognitive Subtypes Exist in People at Clinical High Risk for Psychosis? Results From the EU-GEI Study.

BACKGROUND AND HYPOTHESIS: Cognition has been associated with socio-occupational functioning in individuals at Clinical High Risk for Psychosis (CHR-P). The present study hypothesized that clustering CHR-P participants based on cognitive data could reveal clinically meaningful subtypes. STUDY DESIGN: A cohort of 291 CHR-P subjects was recruited through the multicentre EU-GEI high-risk study. We explored whether an underlying cluster structure was present in the cognition data. Clustering of cognition data was performed using k-means clustering and density-based spatial clustering of applications with noise. Cognitive subtypes were validated by comparing differences in functioning, psychosis symptoms, transition outcome, and grey matter volume between clusters. Network analysis was used to further examine relationships between cognition scores and clinical symptoms. STUDY RESULTS: No underlying cluster structure was found in the cognitive data. K-means clustering produced "spared" and "impaired" cognition clusters similar to those reported in previous studies. However, these clusters were not associated with differences in functioning, symptomatology, outcome, or grey matter volume. Network analysis identified cognition and symptoms/functioning measures that formed separate subnetworks of associations. CONCLUSIONS: Stratifying patients according to cognitive performance has the potential to inform clinical care. However, we did not find evidence of cognitive clusters in this CHR-P sample. We suggest that care needs to be taken in inferring the existence of distinct cognitive subtypes from unsupervised learning studies. Future research in CHR-P samples could explore the existence of cognitive subtypes across a wider range of cognitive domains.

Daily-life stress reactivity and recovery following virtual-reality-based cognitive behavioral therapy in patients with a psychotic disorder.

Introduction: Studies have consistently demonstrated increased stress sensitivity in individuals with psychosis. Since stress sensitivity may play a role in the onset and maintenance of psychosis, this could potentially be a promising target for treatment. The current study was the first to investigate whether reactivity to and recovery from daily-life stressors in psychosis change in response to treatment, namely virtual-reality-based cognitive behavioral therapy (VR-CBT). Methods: 116 patients were randomized to either VR-CBT or the waiting list control group (WL). Pre-treatment and post-treatment participants completed a diary ten times a day during six to ten days. Multilevel analyses were used to model the time-lagged effects of daily stressful events on negative affect (NA) and paranoia symptoms to examine reactivity and recovery. Results: There was a significant difference in NA reactivity. VR-CBT showed higher NA at post-treatment compared to pre-treatment than WL (bpre=0.14; bpost=0.19 vs bpre=0.18; bpost=0.14). There was a significant difference in NA recovery and paranoia recovery between the groups at lag 1: VR-CBT showed relatively lower negative affect (bpre=0.07; bpost=-0.06) and paranoia (bpre= 0.08; bpost=-0.10) at post-treatment compared to pre-treatment than WL (bpre=0.08; bpost=0.08; bpre=0.04; bpost=0.03). Conclusion: Negative affect and paranoia recovery improved in response to treatment. Increased NA reactivity may be explained by a decrease in safety behavior in the VR-CBT group. The discrepancy between reactivity and recovery findings may be explained by the inhibitory learning theory that suggests that an original threat reaction may not erase but can be inhibited as a consequence of exposure therapy.

The effectiveness and safety of dialectical behavior therapy for suicidal ideation and behavior in autistic adults: a pragmatic randomized controlled trial.

BACKGROUNDS: Many autistic people in mental health are suicidal. This study evaluated the effectiveness of dialectical behavior therapy (DBT) v. treatment as usual (TAU) in reducing suicidal ideation and suicide attempts. METHODS: At six Dutch mental health centers, 123 outpatients (18-65 years) with DSM-5 diagnosed autism spectrum disorder (ASD) and suicidal behavior were randomly assigned to the DBT intervention group (n = 63) or TAU control group (n = 60). Assessments were conducted at baseline, post-treatment at 6 months and 12-month follow-up. The primary outcomes were severity of suicidal ideation and frequency of suicide attempts. The severity of depression and social anxiety were secondary outcomes. RESULTS: At end-of-treatment, DBT significantly reduced both suicidal ideation (z = -2.24; p = 0.025; b = -4.41; s.e. = 197.0) and suicide attempts (z = -3.15; p = 0.002; IRR = 0.046; s.e. = 0.045) compared to TAU, but lost statistical significance at the 12-month follow-up. Depression severity significantly decreased with DBT (z = -1.99; p = 0.046: b = -2.74; s.e. = 1.37) remaining so at 12 months (z = -2.46; p = 0.014; b = -3.37; s.e. = 1.37). No effects were observed on social anxiety. Severe adverse events included two suicides in the TAU condition. CONCLUSIONS: DBT is an acceptable, safe, and short-term effective intervention to reduce suicidal ideation and suicide attempts in autistic adults with suicidal behavior.

Effects on voice hearing distress and social functioning of unguided application of a smartphone app - A randomized controlled trial.

Background: Temstem is a smartphone app developed with and for clinical voice hearing individuals with the aim to reduce their voice hearing distress and improve social functioning. Methods: A randomized controlled trial with adult outpatients suffering from distressing and frequent auditory verbal hallucinations (AVH) was conducted. Participants were randomized to unguided 'Temstem+AVH monitoring' or unguided 'AVH monitoring only' (control condition). Assessments were performed at baseline, post-intervention (week 5-6), and follow-up (week 9-10). Primary outcomes were voice hearing distress and social functioning, as measured with Experience Sampling Method (ESM), consisting of multiple daily questionnaires during six days. In addition, voices and mood were self-monitored with help of a daily reflective questionnaire. Analyses were linear regression models (intention-to-treat). Results: 44 Participants were allocated to Temstem and 45 to the control condition. No significant differences between the groups were found on both primary outcomes. Conclusion: Our results do not support the effectiveness of stand-alone use of Temstem versus symptom monitoring on voice hearing distress or social functioning in voice hearing individuals. In order to potentially improve effectiveness of an mHealth tool in a population of people with frequent and distressing voices, we recommend to involve persons with lived experience in all stages of development and research; to thoroughly test the (technological) usability before performing an RCT; to test whether guidance of a therapist is needed to optimize effectiveness; and to provide prompts to remind the user to actually use the tool.

The temporal association between social isolation, distress, and psychotic experiences in individuals at clinical high-risk for psychosis.

BACKGROUND: Psychotic experiences (PEs) and social isolation (SI) seem related during early stages of psychosis, but the temporal dynamics between the two are not clear. Literature so far suggests a self-perpetuating cycle wherein momentary increases in PEs lead to social withdrawal, which, subsequently, triggers PEs at a next point in time, especially when SI is associated with increased distress. The current study investigated the daily-life temporal associations between SI and PEs, as well as the role of SI-related and general affective distress in individuals at clinical high risk (CHR) for psychosis. METHODS: We used experience sampling methodology in a sample of 137 CHR participants. We analyzed the association between SI, PEs, and distress using time-lagged linear mixed-effects models. RESULTS: SI did not predict next-moment fluctuations in PEs, or vice versa. Furthermore, although SI-related distress was not predictive of subsequent PEs, general affective distress during SI was a robust predictor of next-moment PEs. CONCLUSIONS: Our results suggest that SI and PEs are not directly related on a moment-to-moment level, but a negative emotional state when alone does contribute to the risk of PEs. These findings highlight the role of affective wellbeing during early-stage psychosis development.