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General distress, hopelessness-suicidal ideation and worrying in adolescence: concurrent and predictive validity of a symptom-level bifactor model for clinical diagnoses.
Brodbeck, J; Goodyer, I M; Abbott, R A; Dunn, V J; St Clair, M C; Owens, M; Jones, P B; Croudace, T J.
Afiliação
  • Brodbeck J; Developmental and Lifecourse Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK. Electronic address: jb669@medschl.cam.ac.uk.
J Affect Disord ; 152-154: 299-305, 2014 Jan.
Article em En | MEDLINE | ID: mdl-24238952
ABSTRACT

BACKGROUND:

Clinical disorders often share common symptoms and aetiological factors. Bifactor models acknowledge the role of an underlying general distress component and more specific sub-domains of psychopathology which specify the unique components of disorders over and above a general factor.

METHODS:

A bifactor model jointly calibrated data on subjective distress from The Mood and Feelings Questionnaire and the Revised Children's Manifest Anxiety Scale. The bifactor model encompassed a general distress factor, and specific factors for (a) hopelessness-suicidal ideation, (b) generalised worrying and (c) restlessness-fatigue at age 14 which were related to lifetime clinical diagnoses established by interviews at ages 14 (concurrent validity) and current diagnoses at 17 years (predictive validity) in a British population sample of 1159 adolescents.

RESULTS:

Diagnostic interviews confirmed the validity of a symptom-level bifactor model. The underlying general distress factor was a powerful but non-specific predictor of affective, anxiety and behaviour disorders. The specific factors for hopelessness-suicidal ideation and generalised worrying contributed to predictive specificity. Hopelessness-suicidal ideation predicted concurrent and future affective disorder; generalised worrying predicted concurrent and future anxiety, specifically concurrent generalised anxiety disorders. Generalised worrying was negatively associated with behaviour disorders.

LIMITATIONS:

The analyses of gender differences and the prediction of specific disorders was limited due to a low frequency of disorders other than depression.

CONCLUSIONS:

The bifactor model was able to differentiate concurrent and predict future clinical diagnoses. This can inform the development of targeted as well as non-specific interventions for prevention and treatment of different disorders.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Psicológico / Depressão / Ideação Suicida / Modelos Psicológicos Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Psicológico / Depressão / Ideação Suicida / Modelos Psicológicos Idioma: En Ano de publicação: 2014 Tipo de documento: Article