Longitudinal Trajectories of Psychotic-Like Experiences and Their Relationship to Emergent Mental Disorders Among Adolescents: A 3-Year Cohort Study

Examining the Most Important Risk Factors Predicting Persistent and Distressing Psychotic-like Experiences in Youth

BACKGROUND

Persistence and distress distinguish more clinically significant psychotic-like experiences (PLEs) from those that are less likely to be associated with impairment and/or need for care. Identifying risk factors that differentiate clinically relevant PLEs early in development is important for improving our understanding of the etiopathogenesis of these experiences. Machine learning analyses examined the most important baseline factors distinguishing persistent distressing PLEs.

METHODS

Using Adolescent Brain Cognitive Development Study PLEs data over three time points (ages 9-13), individuals with persistent distressing PLEs (n=303), transient distressing PLEs (n=374), and demographically matched low-level PLEs groups were created. Random forest classification models were trained to distinguish among persistent distressing vs. low-level PLEs, transient distressing vs. low-level PLEs, and persistent distressing vs. transient distressing PLEs. Models were trained using identified baseline predictors as input features (i.e., cognitive, neural [cortical thickness, resting state functional connectivity (RSFC)], developmental milestone delays, internalizing symptoms, adverse childhood events).

RESULTS

The model distinguishing persistent distressing vs. low-level PLEs showed the highest accuracy (test sample accuracy=69.33%; 95% CI:61.29%-76.59%). The most important predictors included internalizing symptoms, adverse childhood events, and cognitive functioning. Models distinguishing persistent vs. transient distressing PLEs generally performed poorly.

CONCLUSIONS

Model performance metrics indicated that while most important factors overlapped across models (e.g., internalizing symptoms), adverse childhood events were especially important for predicting persistent distressing PLEs. Machine learning analyses proved useful for distinguishing the most clinically relevant group from the least clinically relevant group but showed limited ability to distinguish among clinically relevant groups that differed in PLE persistence.

Neurocognitive consequences of adolescent sleep disruptions and their relationship to psychosis vulnerability: a longitudinal cohort study

Adolescence is a key period for neurocognitive maturation where deviation from normal developmental trajectories may be tied to adverse mental health outcomes. Cognitive disruptions have been noted in populations at risk for psychosis and are known to accompany periods of sleep deprivation. This study aims to assess the role of cognition as a mediator between sleep disruptions and psychosis risk. A cohort of 3801 high school students (51% female, mean age = 12.8, SD = 0.45 years) was recruited from 31 Montreal high schools. Measures of sleep, psychotic-like experiences, inhibition, working memory, perceptual reasoning, and delayed recall were collected from participants on a yearly basis over the five years of their high school education. A multi-level model mediation analysis was performed controlling for sex and time squared. Response inhibition was shown to be associated with, and to mediate (B = -0.005, SD = 0.003, p = 0.005*) the relationship between sleep disruptions (B = -0.011, SD = 0.004, p < 0.001*) and psychotic-like experiences (B = 0.411, SD = 0.170, p = 0.005*). Spatial working memory deficits on a given year were associated with a higher frequency of psychotic-like experiences that same year (B = -0.046, SD = 0.018, p = 0.005*) and the following year (B = -0.051, SD = 0.023, p = 0.010*), but were not associated with sleep disturbances. No significant associations were found between our variables of interest and either delayed recall or perceptual reasoning at the within person level. Findings from this large longitudinal study provide evidence that the association between sleep disruptions and psychosis risk is specifically mediated by inhibitory rather than general cognitive impairments. The association of spatial working memory, response inhibition, and sleep disruptions with psychotic-like experiences suggests that these factors may represent potential targets for preventative interventions.

The relations of psychotic-like experiences (PLEs) and depressive symptoms and the bias of depressive symptoms during the clustering among Chinese adolescents: Findings from the network perspective

BACKGROUND

There are rare studies about the network structure of psychotic-like experiences (PLEs) and depressive symptoms among adolescents. Studies have widely acknowledged that PLEs in adolescents confer a higher risk of depressive symptoms, but the complex interactions remain inadequately understood. Our study aimed to examine the hierarchy and inter-associations of PLEs and depressive symptoms in a large adolescent sample from the network analysis perspective.

METHODS

A total of 5008 Chinese adolescents were enrolled in our sample. Community Assessment of Psychic Experiences-42 (CAPE-42) was applied to build the network. Centrality indexes were calculated to represent the significance of nodes in the network. Community detection was conducted to figure out the specific clustering of nodes. Demographic information was collected for the sub-network comparisons. Accuracy and stability of the network were also tested.

RESULTS

"Failure", "External control", and "Lack of activity" were the most central nodes. The main bridge nodes linking PLEs and depressive symptoms were "Failure", "Guilty", and "No future". Positive PLE "Odd looks" and negative PLE "Unable to terminate" are the two PLEs that were most relevant to depressive nodes. Community detection further demonstrated the bias of depressive nodes in the data-driven clustering. Comparative sub-network analysis suggested that age was the only demographic factor related to the current network.

CONCLUSION

In this study of a large adolescent sample, we first demonstrated the network structure and specific clustering preference of PLEs and depressive symptoms. Our findings may enhance the understanding of the relationship between PLE and depressive symptoms.

Do the Components of Attenuated Positive Symptoms Truly Represent One Construct?

BACKGROUND AND HYPOTHESES

Psychosis-risk inventories, like the Structured Interview for Psychosis-Risk Syndromes (SIPS), utilize symptom components and coalesce the information into a single-severity rating. These components include frequency, duration, in-the-moment conviction, retrospective insight, distress, and effect on social/role functioning. While combining components distills a great deal of important information into one practical symptom rating, this approach may mask important details of the greater clinical picture.

STUDY DESIGN

Individuals at clinical high risk for psychosis (n = 115) were assessed with the SIPS Score Separable Components (SSSC) scale, created to accompany the SIPS positive items by dividing each item into the 7 components identified above. The latent structure of the SSSC was identified with an exploratory factor analysis (EFA). The factors were followed up with validation analyses including hypothesized cognitive, functioning, and symptom measures. Finally, clinical utility analyses were conducted to understand relationships between psychosis risk and common comorbidities.

STUDY RESULTS

EFA revealed that the SSSC had 3 interpretable factors with the appropriate fit (rmsr = 0.018, TLI = 0.921): Conviction (in-the-moment conviction, retrospective insight), Distress-Impairment (distress, social/role functioning), and Frequency/Duration (frequency, duration). Conviction was minimally valid, Distress-Impairment had excellent validity, and Frequency/Duration was not related to any of the candidate validators. Conviction significantly predicted elevated psychosis risk. Distress-Impairment was related to common comorbid symptoms. Notably, the factors associated more strongly with clinical features than the traditional SIPS scores.

CONCLUSIONS

The SSSC offers a supplemental approach to single-severity ratings, providing useful clinical insight, mechanistic understanding, and the potential for better capturing heterogeneity in this population.

Gender divergent effect of COMT gene rs4680 polymorphism on the association between executive dysfunction and psychotic-like experiences

AIM

Premorbid cognitive impairments are observed prior to the onset of schizophrenia. Catechol-O-methyltransferase (COMT) rs4680 is associated with psychosis and plays a crucial role in the development of the executive function. In addition, genetic COMT variations and gender affect its enzymatic activity. Therefore, the aim of this study was to evaluate the impact of COMT rs4680 on the relationship between executive dysfunction and psychotic-like experiences (PLEs) in college students, with the additional investigation of the gender difference.

METHODS

A total of 463 students provided biological samples for DNA analysis and the COMT gene rs4680 polymorphism was discriminated by the improved multiplex ligase detection reaction method. They also completed the Prodromal Questionnaire and the Dysexecutive Questionnaire.

RESULTS

Executive dysfunction significantly predicted positive PLEs in the total, male and female population (β = 0.515, 0.508 and 0.512, p < 0.001). The results of moderated analysis revealed that COMT rs4680 recessive genetic model ('AA genotype' versus 'G carrier') moderated the relationship between executive dysfunction and psychotic-like experience in the total and females (p = 0.002 and p <0.001, respectively), but not in males.

CONCLUSION

These findings revealed a female-specific effect of COMT rs4680 on the relationship between executive dysfunction and PLEs in young adults.

Sleep disturbance is predictive of psychotic-like experiences among adolescents: A two-wave longitudinal survey

PURPOSE

Psychotic-like experiences (PLEs) are prevalent among adolescents and are the most significant predictor of future mental disorders. This study aims to examine the cross-sectional and longitudinal associations between sleep disturbance and PLEs in a large cohort of adolescents.

METHODS

The 17,722 adolescents in our study were assessed from April 21 to May 12, 2021 (Time 1, T1) and again 6 months later from December 17 to 26, 2021 (Time 2, T2). The Youth Self Rating Insomnia Scale and 8-item Positive Subscale of the Community Assessment of Psychic Experiences were used to assess sleep and PLEs, respectively. Sample characteristics and depression were also evaluated at T1, and negative life events were measured at T2. Sleep duration ≤6 h per night was considered as sleep deprivation, and sleep disturbance was defined as having insomnia or poor sleep quality.

RESULTS

The prevalence of sleep disturbance and frequent PLEs at T1 were 14.1% and 14.5%, respectively. Sleep disturbance and sleep deprivation at T1 were significantly associated with increased risk for PLEs at T2 after adjusting for sample characteristics, depression, and negative life events. Furthermore, sleep disturbance and sleep deprivation also predicted the new onset and persistence of PLEs.

CONCLUSION

Sleep disturbance predicts the development and persistence of PLEs. Early assessment and treatment of sleep disturbance may therefore contribute to a comprehensive strategy for the successful prevention and treatment of PLEs in adolescents.

Prevalence and risk factors of self-reported psychotic experiences among high school and college students: A systematic review, meta-analysis, and meta-regression

BACKGROUND

Adolescents are at high risk of incident psychopathology. Fleeting psychotic experiences (PEs) that emerge in young people in response to stress may be warning signs that are missed by research that fails to study stressed populations, such as late high school and college/university students. Our aim in this systematic review was to conduct a meta-analysis that estimates prevalence rates of PEs in students, and to assess whether these rates differ by gender, age, culture, and COVID-19 exposure.

METHOD

We searched nine electronic databases, from their inception until January 31, 2022 for relevant studies. We pooled the estimates using the DerSimonian-Laird technique and random-effects meta-analysis. Our main outcome was the prevalence of self-reported PEs in high school and college/university students. We subsequently analyzed our data by age, gender, population, country, culture, evaluation tool, and COVID-19 exposure.

RESULTS

Out of 486 studies retrieved, a total of 59 independent studies met inclusion criteria reporting 210' 024 students from 21 different countries. Nearly one in four students (23.31%; 95% CI 18.41%-29.05%), reported having experienced PEs (heterogeneity [Q = 22,698.23 (62), p = 0.001] τ²  = 1.4418 [1.0415-2.1391], τ = 1.2007 [1.0205-1.4626], I²  = 99.7%, H = 19.13 [18.59-19.69]). The 95% prediction intervals were 04.01%-68.85%. Subgroup analyses showed that the pooled prevalence differed significantly by population, culture, and COVID-19 exposure.

CONCLUSION

This meta-analysis revealed high prevalence rates of self-reported PEs among teen and young adult students, which may have significance for mental health screening in school settings. An important realization is that PEs may have very different mental health meaning in different cultures.

Sleep as a Mediator Between Cannabis Use and Psychosis Vulnerability: A Longitudinal Cohort Study

Objectives

Increasing evidence implicates cannabis consumption as a key risk factor in the development of psychosis, but the mechanisms underpinning this relationship remain understudied. This study proposes to determine whether sleep disruption acts as a mediator of the cannabis-to-psychosis relationship.

Study Design

This longitudinal study assessed measures of cannabis use frequency, sleep quality (SQ), and psychotic-like experiences (PLEs) were collected using self-reported questionnaires. Data were collected from September 2012 to September 2018. Data were collected from a general population sample of adolescents who entered the seventh grade in 31 schools in the Greater Montreal area. The study uses data collected on an annual basis from 3801 high school students from grades 7 to 11. The aforementioned measures were measured using the Detection of Alcohol and Drug Problems in Adolescents questionnaire, a SQ Likert scale, and measures the Psychotic-Like Experiences Questionnaire for Children.

Study Results

Results show a reciprocal 1-year cross-lagged effect of cannabis use and sleep (β = -0.076, 95% CI = -0.037 to -0.018, P = .000), of sleep on cannabis use (β = -.016, 95% CI = -0.025 to -0.006, P = .007), of sleep on PLEs (β = -0.077, 95%CI = -0.014 to -0.051, P = .000), and of PLEs on sleep (β = -0.027, 95% CI = -0.037 to -0.018, P = .000). We additionally found a 2 years indirect lagged-effect of cannabis use on PLEs (β = 0.068, 95% CI = 0.024 to 0.113, P = .011) mediated by 1-year sleep (β = 0.006, 95% CI = 0.003 to 0.009, P = .001).

Conclusions

Our results suggest sleep disruptions simultaneously aggravate, and are aggravated by, cannabis addiction and PLEs. The longitudinal sleep-mediated effect of cannabis use on PLEs encourages further research into the role of sleep as a potential therapeutic target in the prevention of cannabis-related psychosis.

The relationship between family functioning and psychotic-like experiences of college students: Chain multiple mediating effects

AIM

To explore the mechanism of the relationship between college students' family functioning and psychotic-like experiences, a chain multi-intermediary model is constructed to investigate the multiple mediating effects of interpersonal adaptation, sleep quality and loneliness on college students' family functioning and psychotic-like experiences.

METHODS

Seven hundred seven college students in China were surveyed by using the Family Care Index Questionnaire, Loneliness Scale, Pittsburgh Sleep Quality Index Questionnaire, College Students' Interpersonal Adaptability Subscale and Community Assessment of Psychiatric Experiences.

RESULTS

(a) The detection rate of psychotic-like experiences among college students is 72.14%, of which 6.93% reported frequent psychotic-like experiences; (b) There is a significant correlation between family functioning, sleep quality, loneliness, interpersonal adaptation and psychotic-like experiences of college students; (c) Interpersonal adaptation, loneliness and sleep quality of college students have chain multiple mediating effect in the relationship between family functioning and psychotic-like experiences.

CONCLUSION

The results reveal the mechanism of the relationship between family functioning and psychotic-like experiences, which helps us to better understand how family functioning affects the occurrence and development of college students' psychotic-like experiences.

Increasing Trends in Mental Health Problems Among Urban Chinese Adolescents: Results From Repeated Cross-Sectional Data in Changsha 2016–2020

This study performed a repeated cross-sectional analysis to explore possible trends in mental health problems among Chinese adolescents over the years of 2016–2020. A total of 2,837 different seventh-grade students were surveyed in three waves from a junior high school in Changsha city, Hunan province in China (978 in 2016, 949 in 2019, and 910 in 2020) using the Mental Health Inventory of Middle School Students (MMHI-60). The results showed that obsessive-compulsive tendencies, interpersonal sensitivity, depression, anxiety, academic stress, and emotional disturbance problems were significantly increased in surveyed adolescents from 2016 to 2020. Moreover, positive rates of most of these problems were significantly higher in females than males, and were significantly increased in only females. These results highlight the importance of focusing on mental health problems among urban Chinese adolescents, especially among girls.

Changes in psychotic-like experiences and related influential factors in technical secondary school and college students during COVID-19

OBJECTIVE

Although students have been found to be at high risk of distress during the COVID-19 pandemic, little is known about the pandemic's impact on psychotic-like experiences (PLEs). We conducted a study in technical secondary school and college students before and during the pandemic to explore changes in PLEs and relevant influential factors.

METHODS

A total of 938 students completed both waves of the survey through electronic questionnaires. PLEs were assessed using the 15-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P15). Childhood trauma, perceived stress, resilience, and demographic factors were evaluated at baseline, and psychological status was measured during the pandemic.

RESULTS

The overall CAPE-P15 scores significantly decreased during the pandemic. Students with persistent PLEs showed the most severe COVID-19 related psychological symptoms, followed by new-onset and remitted individuals; those without PLEs exhibited the mildest symptoms (all p < .001). A single parent family (OR = 4.707), more childhood trauma (OR = 1.056), and a higher family income (OR = 1.658) were predictive of new-onset PLEs during the pandemic, while better resilience was a protective factor, associated with remission of previous PLEs (OR = 0.932).

CONCLUSIONS

Despite a downward trend in the prevalence of PLEs during the pandemic, PLEs predict greater serious psychological impact due to COVID-19, especially for students with persistent PLEs. Interventions that cultivate students' resilience are urgently needed to reduce PLEs and improve mental health, especially for students from single parent households or those who have experienced childhood trauma.

Cognitive biases are associated with clinical and functional variables in psychosis: A comparison across schizophrenia, early psychosis and healthy individuals

OBJECTIVE

We investigated the presence of cognitive biases in people with a recent-onset psychosis (ROP), schizophrenia and healthy adolescents and explored potential associations between these biases and psychopathology.

METHODS

Three groups were studied: schizophrenia (N=63), ROP (N=43) and healthy adolescents (N=45). Cognitive biases were assessed with the Cognitive Biases Questionnaire for Psychosis (CBQ). Positive, negative and depressive symptoms were assessed with the PANSS and Calgary Depression Scale (ROP; schizophrenia) and with the CAPE-42 (healthy adolescents). Cannabis use was registered. The association between CBQ and psychopathology scales was tested with multiple linear regression analyses.

RESULTS

People with schizophrenia reported more cognitive biases (46.1±9.0) than ROP (40±5.9), without statistically significant differences when compared to healthy adolescents (43.7±7.3). Cognitive biases were significantly associated with positive symptoms in both healthy adolescents (Standardized β=0.365, p=0.018) and people with psychotic disorders (β=0.258, p=0.011). Cognitive biases were significantly associated with depressive symptoms in healthy adolescents (β=0.359, p=0.019) but in patients with psychotic disorders a significant interaction between schizophrenia diagnosis and CBQ was found (β=1.804, p=0.011), which suggests that the pattern differs between ROP and schizophrenia groups (positive association only found in the schizophrenia group). Concerning CBQ domains, jumping to conclusions was associated with positive and depressive symptoms in people with schizophrenia and with cannabis use in ROP individuals. Dichotomous thinking was associated with positive and depressive symptoms in all groups.

CONCLUSIONS

Cognitive biases contribute to the expression of positive and depressive symptoms in both people with psychotic disorders and healthy individuals.

Psychosis in children of separated parents: A systematic review and meta-analysis

BACKGROUND

Parental separation is a very common childhood adversity. The association between other adverse childhood experiences and an increased risk of psychosis has been reported. However, the evidence on the risk of psychosis for children of separated parents is limited. In this systematic review, cohort, case-control, and cross-sectional studies, comparing the risk of psychotic disorders for people with and without separated parents, were searched, critically appraised, and summarized.

METHODS

Studies were searched in PubMed, EMBASE, PsycINFO, and the Web of Science, from database inception to September 2019. A meta-analysis, using random-effects models, was undertaken to obtain pooled estimates of the risk of psychosis among participants with separated parents.

RESULTS

Twelve studies, with 305,652 participants from 22 countries, were included in the review. A significantly increased risk of psychosis for those with separated parents was observed, with a pooled odds ratio: 1.53 (95% confidence interval [CI]: 1.29-1.76), p < 0.001. The association remained significant when cohort, case-control, and cross-sectional studies were analyzed separately. The five cohort studies included in this review showed and increased risk of psychosis with odds ratio: 1.47 (95% CI: 1.26-1.69), p < 0.001.

CONCLUSIONS

Parental separation is a common childhood adversity associated with an increased risk of psychosis. Although the risk for an individual child of separated parents is still low, given the high proportion of couple that separate, the increased rates of psychosis may be substantial in the population. Further studies on the risk of psychosis in those with separated parents, and the explanatory factors for this association, are required.