Higher-order dimensions of psychopathology in a neurodevelopmental transdiagnostic sample.
Hierarchical dimensional models of psychopathology derived for adult and child community populations offer more informative and efficient methods for assessing and treating symptoms of mental ill health than traditional diagnostic approaches. It is not yet clear how many dimensions should be include...
| Publicado en: | Journal of Abnormal Psychology Vol. 130; no. 8; pp. 909 - 923 |
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| Autores principales: | , , , , |
| Formato: | journal article |
| Publicado: |
American Psychological Association
Nov2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=153909516&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 153909516 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0021843X JAP jtl: Journal of Abnormal Psychology issn: 0021843X maglogo: N pubinfo: dt: Nov2021 vid: 130 iid: 8 pid: 34 pub: American Psychological Association artinfo: ui: 153909516 10.1037/abn0000710 ppf: 909 ppct: 14 formats: tig: atl: Higher-order dimensions of psychopathology in a neurodevelopmental transdiagnostic sample. aug: au: Holmes, Joni Mareva, Silvana Bennett, Marc P. Black, Melissa J. Guy, Jacalyn affil: Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, United Kingdom su: Mental illness Executive function Teenagers Mental health Pathological psychology Anxiety disorders Anxiety Neural development Child psychopathology Educational outcomes Questionnaires sug: subj: Mental illness Executive function Teenagers Mental health Pathological psychology Anxiety disorders Anxiety Offices of Mental Health Practitioners (except Physicians) Neural development Child psychopathology Educational outcomes Questionnaires keyword: childhood psychopathology general p factor hierarchical dimensional model neurodevelopmental transdiagnostic childhood psychopathology general p factor hierarchical dimensional model neurodevelopmental transdiagnostic ab: Hierarchical dimensional models of psychopathology derived for adult and child community populations offer more informative and efficient methods for assessing and treating symptoms of mental ill health than traditional diagnostic approaches. It is not yet clear how many dimensions should be included in models for youth with neurodevelopmental conditions. The aim of this study was to delineate the hierarchical dimensional structure of psychopathology in a transdiagnostic sample of children and adolescents with learning-related problems, and to test the concurrent predictive value of the model for clinically, socially, and educationally relevant outcomes. A sample of N = 403 participants from the Centre for Attention Learning and Memory (CALM) cohort were included. Hierarchical factor analysis delineated dimensions of psychopathology from ratings on the Conner's Parent Rating Short Form, the Revised Children's Anxiety and Depression Scale, and the Strengths and Difficulties Questionnaire. A hierarchical structure with a general p factor at the apex, broad internalizing and broad externalizing spectra below, and three more specific factors (specific internalizing, social maladjustment, and neurodevelopmental) emerged. The p factor predicted all concurrently measured social, clinical, and educational outcomes, but the other dimensions provided incremental predictive value. The neurodevelopmental dimension, which captured symptoms of inattention, hyperactivity, and executive function and emerged from the higher-order externalizing factor, was the strongest predictor of learning. This suggests that in struggling learners, cognitive and affective behaviors may interact to influence learning outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved). pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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