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Record W4388751240 · doi:10.1016/j.bpsc.2023.10.011

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

2023· article· en· W4388751240 on OpenAlexafffundabout
Kristin Cleverley, George Foussias, Stephanie H. Ameis, Darren Courtney, Benjamin I. Goldstein, Lisa D. Hawke, Nicole Kozloff, Lena C. Quilty, Martin Rotenberg, Anne L. Wheeler, Brendan F. Andrade, Madison Aitken, Don Mahleka, Melanie Jani, Margot Frayne, Jimmy K Y Wong, Rachel Kelly, Erin W. Dickie, Daniel Felsky, John D. Haltigan, Meng‐Chuan Lai, Yuliya S. Nikolova, Wanda Tempelaar, Wei Wang, Marco Battaglia, Muhammad Omair Husain, Sean A. Kidd, Paul Kurdyak, Robert D. Levitan, Stephen P. Lewis, Alexia Polillo, Péter Szatmári, Anna I. R. van der Miesen, Masoud Ahmadzad-Asl, Aristotle N. Voineskos

Bibliographic record

VenueBiological Psychiatry Cognitive Neuroscience and Neuroimaging · 2023
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoUniversity of GuelphMental Health Research CanadaCentre for Addiction and Mental Health
FundersDepartment of Psychiatry, Faculty of Medicine, University of British ColumbiaCanadian Institutes of Health ResearchNational Institute of Mental HealthSocial Sciences and Humanities Research Council of CanadaMargaret and Wallace McCain Centre for Child, Youth and Family Mental HealthDepartment of Psychiatry, University of TorontoPeter Gilgan FoundationCundill Centre for Child and Youth DepressionCanadian Institute for Military and Veteran Health ResearchHospital for Sick ChildrenUniversity of TorontoCanada Research ChairsKoninklijke Nederlandse Akademie van WetenschappenCanarieOntario Brain InstituteArcus FoundationFondation Brain CanadaRainwater Charitable FoundationOntario HIV Treatment NetworkAzrieli FoundationNatural Sciences and Engineering Research Council of CanadaMinistère de la Défense NationaleCentre for Addiction and Mental Health FoundationGovernment of OntarioKrembil FoundationCanada Foundation for InnovationNovartis FoundationCurePSPRoyal Bank of CanadaCentre for Addiction and Mental HealthWellcome TrustHeart and Stroke Foundation of CanadaJ.W. McConnell Family FoundationOntario Research FoundationNational Institutes of HealthRobert Wood Johnson Foundation
KeywordsPsychosisPsychiatryCohortPsychologyMedicineClinical psychologyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.100
GPT teacher head0.364
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2023
Admission routes3
Has abstractyes

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