Association between childhood psychiatric disorders and psychotic experiences in adolescence: A population-based longitudinal study

The Toronto Adolescent and Youth Cohort Study: Study Design and Early Data Related to Psychosis Spectrum Symptoms, Functioning, and Suicidality

BACKGROUND

Psychosis spectrum symptoms (PSSs) occur in a sizable percentage of youth and are associated with poorer cognitive performance, poorer functioning, and suicidality (i.e., suicidal thoughts and behaviors). PSSs may occur more frequently in youths already experiencing another mental illness, but the antecedents are not well known. The Toronto Adolescent and Youth (TAY) Cohort Study aims to characterize developmental trajectories in youths with mental illness and understand associations with PSSs, functioning, and suicidality.

METHODS

The TAY Cohort Study is a longitudinal cohort study that aims to assess 1500 youths (age 11-24 years) presenting to tertiary care. In this article, we describe the extensive diagnostic and clinical characterization of psychopathology, substance use, functioning, suicidality, and health service utilization in these youths, with follow-up every 6 months over 5 years, including early baseline data.

RESULTS

A total of 417 participants were enrolled between May 4, 2021, and February 2, 2023. Participants met diagnostic criteria for an average of 3.5 psychiatric diagnoses, most frequently anxiety and depressive disorders. Forty-nine percent of participants met a pre-established threshold for PSSs and exhibited higher rates of functional impairment, internalizing and externalizing symptoms, and suicidality than participants without PSSs.

CONCLUSIONS

Initial findings from the TAY Cohort Study demonstrate the feasibility of extensive clinical phenotyping in youths who are seeking help for mental health problems. PSS prevalence is much higher than in community-based studies. Our early data support the critical need to better understand longitudinal trajectories of clinical youth cohorts in relation to psychosis risk, functioning, and suicidality.

Peer-reported bullying, rejection and hallucinatory experiences in childhood

OBJECTIVE

Psychotic experiences, such as hallucinations, occur commonly in children and have been related to bullying victimization. However, whether bullying perpetration, peer rejection, or peer acceptance are related to hallucinatory experiences has remained under-examined. We used a novel peer nomination method to examine whether (i) bullying perpetration and (ii) social positions within peer networks were associated with future hallucinatory experiences.

METHODS

This prospective study was embedded in the population-based Generation R Study. Bullying perpetration, peer rejection, and peer acceptance were assessed using peer nominations at age 7 years (N = 925). Using a social network analysis, we estimated social positions within peer rejection and acceptance networks. Bullying victimization was assessed using self-reports. Self-reported hallucinatory experiences were assessed at age 10 years. Analyses were adjusted for sociodemographic covariates.

RESULTS

Higher levels of bullying perpetration were prospectively associated with an increased burden of hallucinatory experiences (OR = 1.22, 95% CI 1.05-1.43, p = 0.011). Bullies had a 50% higher, and bully-victims had a 89% higher odds, of endorsing hallucinatory experiences three years later than children who were not involved in bullying (OR_bully = 1.50, 95% CI 1.01-2.24, p = 0.045; OR_bully-victim = 1.89, 95% CI 1.15-3.10, p = 0.012). Unfavorable positions within peer rejection networks, but not peer acceptance networks, were associated with an increased risk for hallucinatory experiences (OR_{peer rejection} = 1.24, 95% CI 1.07-1.44, p_{FDR-corrected} = 0.024).

CONCLUSION

Using peer reports, we observed that bullies and socially rejected children have a higher likelihood to report hallucinatory experiences in pre-adolescence. Children who are both a bully and a victim of bullying (ie, bully-victims) may be particularly vulnerable for psychotic experiences.

Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

IMPORTANCE

Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining clinical and biological models and by broadening the risk spectrum to young patients with depressive syndromes remains unclear.

OBJECTIVES

To evaluate whether psychosis transition can be predicted in patients with CHR or recent-onset depression (ROD) using multimodal machine learning that optimally integrates clinical and neurocognitive data, structural magnetic resonance imaging (sMRI), and polygenic risk scores (PRS) for schizophrenia; to assess models' geographic generalizability; to test and integrate clinicians' predictions; and to maximize clinical utility by building a sequential prognostic system.

DESIGN, SETTING, AND PARTICIPANTS

This multisite, longitudinal prognostic study performed in 7 academic early recognition services in 5 European countries followed up patients with CHR syndromes or ROD and healthy volunteers. The referred sample of 167 patients with CHR syndromes and 167 with ROD was recruited from February 1, 2014, to May 31, 2017, of whom 26 (23 with CHR syndromes and 3 with ROD) developed psychosis. Patients with 18-month follow-up (n = 246) were used for model training and leave-one-site-out cross-validation. The remaining 88 patients with nontransition served as the validation of model specificity. Three hundred thirty-four healthy volunteers provided a normative sample for prognostic signature evaluation. Three independent Swiss projects contributed a further 45 cases with psychosis transition and 600 with nontransition for the external validation of clinical-neurocognitive, sMRI-based, and combined models. Data were analyzed from January 1, 2019, to March 31, 2020.

MAIN OUTCOMES AND MEASURES

Accuracy and generalizability of prognostic systems.

RESULTS

A total of 668 individuals (334 patients and 334 controls) were included in the analysis (mean [SD] age, 25.1 [5.8] years; 354 [53.0%] female and 314 [47.0%] male). Clinicians attained a balanced accuracy of 73.2% by effectively ruling out (specificity, 84.9%) but ineffectively ruling in (sensitivity, 61.5%) psychosis transition. In contrast, algorithms showed high sensitivity (76.0%-88.0%) but low specificity (53.5%-66.8%). A cybernetic risk calculator combining all algorithmic and human components predicted psychosis with a balanced accuracy of 85.5% (sensitivity, 84.6%; specificity, 86.4%). In comparison, an optimal prognostic workflow produced a balanced accuracy of 85.9% (sensitivity, 84.6%; specificity, 87.3%) at a much lower diagnostic burden by sequentially integrating clinical-neurocognitive, expert-based, PRS-based, and sMRI-based risk estimates as needed for the given patient. Findings were supported by good external validation results.

CONCLUSIONS AND RELEVANCE

These findings suggest that psychosis transition can be predicted in a broader risk spectrum by sequentially integrating algorithms' and clinicians' risk estimates. For clinical translation, the proposed workflow should undergo large-scale international validation.

Neuroimaging Heterogeneity in Psychosis: Neurobiological Underpinnings and Opportunities for Prognostic and Therapeutic Innovation

Heterogeneity in symptom presentation, outcomes, and treatment response has long been problematic for researchers aiming to identify biological markers of schizophrenia or psychosis. However, there is increasing recognition that there may likely be no such general illness markers, which is consistent with the notion of a group of schizophrenia(s) that may have both shared and unique neurobiological pathways. Instead, strategies aiming to capitalize on or leverage such heterogeneity may help uncover neurobiological pathways that may then be used to stratify groups of patients for prognostic purposes or for therapeutic trials. A shift toward larger sample sizes with adequate statistical power to overcome small effect sizes and disentangle the shared variance among different brain-imaging or behavioral variables has become a priority for the field. In addition, recognition that two individuals with the same clinical diagnosis may be more different from each other (at brain, genetic, and behavioral levels) than from another individual in a different disorder or nonclinical control group-coupled with computational advances-has catapulted data-driven efforts forward. Emerging challenges for this new approach include longitudinal stability of new subgroups, demonstration of validity, and replicability. The "litmus test" will be whether computational approaches that are successfully identifying groups of patients who share features in common, more than current DSM diagnostic constructs, also provide better prognostic accuracy over time and in addition lead to enhancements in treatment response and outcomes. These are the factors that matter most to patients, families, providers, and payers.

Autism, Psychosis, or Both? Unraveling Complex Patient Presentations

Autism spectrum disorders (ASDs) and schizophrenia spectrum disorders co-occur at elevated rates. Although these conditions are diagnostically distinct, they share multiple clinical features and genetic risk factors. This article describes the epidemiologic features and clinical manifestations of psychosis in individuals with ASDs, while also discussing shared genetic risk factors and affected brain regions. Components of a diagnostic assessment, including a thorough developmental, behavioral, medical, and psychiatric history, will be reviewed. The authors highlight the manifestations of catatonia in this population and note the shared features between catatonia and ASDs. Finally, treatment approaches and areas for future study are suggested.

Psychotic-like experiences in pre-adolescence: what precedes the antecedent symptoms of severe mental illness?

OBJECTIVE

Adolescent psychotic-like experiences predict the onset of psychosis, but also predict subsequent non-psychotic disorders. Therefore, it is crucial to better understand the aetiology of psychotic-like experiences. This study examined whether (a) child emotional and behavioural problems at 3 and 6 years, or (b) childhood adversities were associated with psychotic-like experiences at age 10 years.

METHOD

This prospective study was embedded in the Generation R Study; 3984 children (mean age 10 years) completed a psychotic-like experiences questionnaire. Mothers reported problems of their child at ages 3, 6 and 10 years. Additionally, mothers were interviewed about their child's adversities.

RESULTS

Psychotic-like experiences were endorsed by ~20% of children and predicted by both emotional and behavioural problems at 3 years (e.g. emotional-reactive problems: OR_adjusted = 1.10, 95% CI: 1.06-1.15, aggressive behaviour: OR_adjusted = 1.03, 95% CI: 1.02-1.05) and 6 years (e.g. anxious/depressed problems: OR_adjusted = 1.11, 95% CI: 1.06-1.15, aggressive behaviour: OR_adjusted = 1.04, 95% CI: 1.04-1.05). Childhood adversities were associated with psychotic-like experiences (>2 adversities: OR_adjusted = 2.24, 95% CI: 1.72-2.92), which remained significant after adjustment for comorbid psychiatric problems.

CONCLUSION

This study demonstrated associations between early adversities, childhood emotional and behavioural problems and pre-adolescent psychotic-like experiences, which will improve the understanding of children at increased risk of severe mental illness.

A twin study exploring the association between childhood emotional and behaviour problems and specific psychotic experiences in a community sample of adolescents

BACKGROUND

Childhood emotional and behaviour problems are antecedents for later psychopathology. This study investigated genetic and environmental influences shaping the longitudinal association between childhood emotional and behaviour problems and specific PEs.

METHOD

In a community-based twin sample, parents reported on emotional and behaviour problems when twins were ages 7 and 12 years. At age 16 years, specific PEs were measured using self-reports and parent reports. Structural equation model-fitting was conducted.

RESULTS

Childhood emotional and behaviour problems were significantly associated with paranoia, cognitive disorganisation and parent-rated negative symptoms in adolescence (mean r = .15-.38), and to a lesser extent with hallucinations, grandiosity and anhedonia (mean r = .04-.12). Genetic influences on childhood emotional and behaviour problems explained significant proportions of variance in adolescent paranoia (4%), cognitive disorganisation (8%) and parent-rated negative symptoms (3%). Unique environmental influences on childhood emotional and behaviour problems explained ≤1% of variance in PEs. Common environmental influences were only relevant for the relationship between childhood emotional and behaviour problems and parent-rated negative symptoms (explaining 28% of variance) and are partly due to correlated rater effects.

CONCLUSIONS

Childhood emotional and behaviour problems are significantly, if weakly, associated with adolescent PEs. These associations are driven in part by common genetic influences underlying both emotional and behaviour problems and PEs. However, psychotic experiences in adolescence are largely influenced by genetic and environmental factors that are independent of general childhood emotional and behaviour problems, suggesting they are not merely an extension of childhood emotional and behaviour problems.

Early vulnerabilities for psychiatric disorders in elementary schoolchildren from four Brazilian regions

PURPOSE

The purpose of the study is to identify early vulnerabilities for psychiatric disorders among Brazilian elementary school children, controlling for familial and community adversities.

METHODS

This is a cross-sectional study examining the association between child psychiatric disorders and potential early vulnerabilities (disability, low intellectual quotient, and negative dimensions of the temperament trait self-directedness (low resourcefulness, low purposefulness, low enlightened second nature), controlling for the potential confounders: familial and community adversities.

SAMPLE

Four probabilistic samples of second-to-sixth grade students from public schools in four towns from different Brazilian regions (N = 1620). The following instruments were applied: the K-SADS-PL (to assess child/adolescent psychiatric disorders); the Ten-Question Screen (to measure child disability); three structured questions used as proxy of self-directedness; and the reduced version of the WISC-III to measure IQ. To evaluate familial/community adversities: Self-Report Questionnaire-SRQ-20 (to assess maternal/primary caretaker anxiety/depression); questions derived from structured questionnaires (to measure child abuse, marital physical violence, neighborhood violence); Brazilian Association of Research Companies questionnaire (to evaluate poverty/socioeconomic status). Trained psychologists interviewed mothers/primary caretakers and evaluated children/adolescents individually.

RESULTS

A final logistic regression model showed that children/adolescents with low resourcefulness, low purposefulness, low enlightened second nature, lower IQ and disability were more likely to present any child psychiatric disorders.

CONCLUSION

Early vulnerabilities such as low IQ, presence of disability, and dimensions of temperament were associated with psychiatric disorders among Brazilian elementary school children, after controlling for familial and ecological confounders. These early vulnerabilities should be considered in mental health prevention/intervention programs in low-middle-income countries like Brazil.

Autism and psychosis: Clinical implications for depression and suicide

There is increasing recognition of the co-occurrence of autism and schizophrenia spectrum disorders. However, the clinical significance of this on outcomes such as depression and suicidal thinking has not been explored. This study examines the association of autism spectrum traits, depressive symptoms and suicidal behaviour in individuals with psychotic experiences. In two cross sectional studies, individuals from a non-help seeking university student sample and patients with first episode psychosis (FEP) service completed standardized measures of autism spectrum traits, psychotic experiences, depressive symptoms and suicidal thinking. In healthy non-help seeking students, increased autism traits and increased subclinical psychotic experiences were significantly associated with depressive symptoms; a significant interaction effect suggests their combined presence has a greater impact on depression. In FEP, high autism traits and positive symptoms were associated with increased depression, hopelessness and suicidality, however there was no significant interaction effect. In FEP a multiple mediation model revealed that the relationship between autism traits and risk for suicidality was mediated through hopelessness. Young people with subclinical psychotic experiences and all patients with FEP should be screened for autism spectrum traits, which may have significant impact on clinical outcomes. Tailored interventions for patients with high levels of autistic spectrum co-morbidities in FEP should be a priority for future research.

Protective Factors for Early Psychotic Phenomena Among Children of Mothers With Psychosis

Background: Early identification of sub-clinical psychotic experiences in at-risk individuals is vital to prevent the development of psychosis, even before prodromal symptoms emerge. A widely-replicated risk factor is having a family member with psychosis. The Environmental Risk (E-Risk) Longitudinal Twin Study has shown that better cognitive functioning, a stimulating family environment, and a cohesive community, are protective against psychotic experiences among children; while engaging in physical activity, social support, and a cohesive community are protective for adolescents. In the current study we investigate whether these factors also protect against the development of sub-clinical psychotic phenomena among children and adolescents in this cohort who are at high-risk of psychosis by having a mother with psychosis. Methods: Data were utilized from the E-Risk Longitudinal Twin Study, a nationally-representative cohort of 2,232 twin children born in England and Wales in 1994-1995 followed to age 18. Psychotic phenomena were assessed in private interviews with children at ages 12 and 18, and mothers were interviewed about their own experiences of psychosis when children were aged 10 and 12. Bivariate and multivariate logistic regression analyses explored associations between individual, family, and community-level putative protective factors and absence of age-12 psychotic symptoms and age-18 psychotic experiences in children whose mothers had a diagnosis of a psychosis-spectrum disorder and/or reported psychotic symptoms. Results: Higher IQ (OR = 0.97, 95% CI 0.94-1.00, P = 0.036) and living in a more socially cohesive neighborhood (OR = 0.88, 95% CI 0.79-0.98, P = 0.023) were independently protective against age-12 psychotic symptoms among children of mothers with psychosis. Higher levels of perceived social support were independently protective against age-18 psychotic experiences among children of mothers with psychosis (OR = 0.92, 95% CI 0.87-0.98, P = 0.006). However, there were no significant interactions between these protective factors and maternal psychosis in relation to an absence of childhood or adolescent psychotic phenomena in the full sample, indicating that protective effects were not specific to this group of high-risk children. Conclusions: These findings provide preliminary evidence that preventive interventions for early psychotic phenomena could focus on improving cognition, social support, and cohesiveness of the local community. Given scarce resources these might usefully be targeted at high-risk children.

Association between childhood infection, serum inflammatory markers and intelligence: findings from a population-based prospective birth cohort study

A link between infection, inflammation, neurodevelopment and adult illnesses has been proposed. The objective of this study was to examine the association between infection burden during childhood - a critical period of development for the immune and nervous systems - and subsequent systemic inflammatory markers and general intelligence. In the Avon Longitudinal Study of Parents and Children, a prospective birth cohort in England, we examined the association of exposure to infections during childhood, assessed at seven follow-ups between age 1·5 and 7·5 years, with subsequent: (1) serum interleukin 6 and C-reactive protein (CRP) levels at age 9; (2) intelligence quotient (IQ) at age 8. We also examined the relationship between inflammatory markers and IQ. Very high infection burden (90+ percentile) was associated with higher CRP levels, but this relationship was explained by body mass index (adjusted odds ratio (OR) 1·19; 95% confidence interval (CI) 0·95-1·50), maternal occupation (adjusted OR 1·23; 95% CI 0·98-1·55) and atopic disorders (adjusted OR 1·24; 95% CI 0·98-1·55). Higher CRP levels were associated with lower IQ; adjusted β = -0·79 (95% CI -1·31 to -0·27); P = 0·003. There was no strong evidence for an association between infection and IQ. The findings indicate that childhood infections do not have an independent, lasting effect on circulating inflammatory marker levels subsequently in childhood; however, elevated inflammatory markers may be harmful for intellectual development/function.