Stratification of adolescents across mental phenomena emphasizes the importance of transdiagnostic distress: a replication in two general population cohorts.
Characterizing patterns of mental phenomena in epidemiological studies of adolescents can provide insight into the latent organization of psychiatric disorders. This avoids the biases of chronicity and selection inherent in clinical samples, guides models of shared aetiology within psychiatric disor...
| Published in: | European Child & Adolescent Psychiatry Vol. 32; no. 5; pp. 797 - 808 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
May2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163413459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163413459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10188827 EJ3 jtl: European Child & Adolescent Psychiatry issn: 10188827 maglogo: N pubinfo: dt: May2023 vid: 32 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163413459 153640859 163413459 163413459 10.1007/s00787-021-01909-0 163413459 ppf: 797 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Stratification of adolescents across mental phenomena emphasizes the importance of transdiagnostic distress: a replication in two general population cohorts. aug: au: Stochl, Jan Jones, Hannah Soneson, Emma Wagner, Adam P. Khandaker, Golam M. Zammit, Stanley Heron, Jon Hammerton, Gemma Bullmore, Edward T. Dolan, Ray Fonagy, Peter Goodyer, Ian M. Perez, J. Jones, Peter B. affil: Department of Psychiatry, Herchel Smith Building for Brain and Mind Sciences, University of Cambridge, Cambridge Biomedical Campus, CB2 0SZ, Cambridge, UK sug: subj: Mental Disorders Diagnosis Psychological Distress In Adolescence Models, Statistical Psychopathology Human Adolescence Prospective Studies Neurosciences Psychological Well-Being Self Concept Severity of Illness Descriptive Statistics Depression Anxiety Sex Factors Funding Source Adolescent: 13-18 years ab: Characterizing patterns of mental phenomena in epidemiological studies of adolescents can provide insight into the latent organization of psychiatric disorders. This avoids the biases of chronicity and selection inherent in clinical samples, guides models of shared aetiology within psychiatric disorders and informs the development and implementation of interventions. We applied Gaussian mixture modelling to measures of mental phenomena from two general population cohorts: the Avon Longitudinal Study of Parents and Children (ALSPAC, n = 3018) and the Neuroscience in Psychiatry Network (NSPN, n = 2023). We defined classes according to their patterns of both positive (e.g. wellbeing and self-esteem) and negative (e.g. depression, anxiety, and psychotic experiences) phenomena. Subsequently, we characterized classes by considering the distribution of diagnoses and sex split across classes. Four well-separated classes were identified within each cohort. Classes primarily differed by overall severity of transdiagnostic distress rather than particular patterns of phenomena akin to diagnoses. Further, as overall severity of distress increased, so did within-class variability, the proportion of individuals with operational psychiatric diagnoses. These results suggest that classes of mental phenomena in the general population of adolescents may not be the same as those found in clinical samples. Classes differentiated only by overall severity support the existence of a general, transdiagnostic mental distress factor and have important implications for intervention. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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