Literature DB >> 20976590

Predicting depressive and anxiety disorders with the YASR internalising scales (empirical and DSM-oriented).

Kaeleen Dingle1, Alexandra Clavarino, Gail M Williams, William Bor, Jake M Najman, Rosa Alati.   

Abstract

BACKGROUND: The Achenbach problem behaviour scales (CBCL/YSR) are widely used. The DSM-oriented anxiety and depression scales have been created to improve concordance between Achenbach's internalising scales and DSM-IV depression and anxiety. To date no study has examined the concurrent utility of the young adult (YASR) internalising scales, either the empirical or newly developed DSM-oriented depressive or anxiety scales.
METHODS: A sample of 2,551 young adults, aged 18-23 years, from an Australian cohort study. The association between the empirical and DSM-oriented anxiety and depression scales were individually assessed against DSM-IV depression and anxiety diagnoses derived from structured interview. Odds ratios, ROC analyses and diagnostic efficiency tests (sensitivity, specificity, positive and negative predictive values) were used to report findings.
RESULTS: YASR empirical internalising scale predicted DSM-IV mood disorders (depression OR = 6.9, 95% CI 5.0-9.5; anxiety OR = 5.1, 95% CI 3.8-6.7) in the previous 12 months. DSM-oriented depressive or anxiety scales did not appear to improve the concordance with DSM-IV diagnosed depression or anxiety. The internalising scales were much more effective at identifying those with comorbid depression and anxiety, with ORs between 10.1 and 21.7 depending on the internalising scale used.
CONCLUSION: DSM-oriented scales perform no better than the standard internalising in identifying young adults with DSM-IV mood or anxiety disorder.

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Year:  2010        PMID: 20976590     DOI: 10.1007/s00127-010-0303-2

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  36 in total

1.  Challenges and benefits of assessment, diagnosis, and taxonomy for clinical practice and research.

Authors:  T M Achenbach
Journal:  Aust N Z J Psychiatry       Date:  2001-06       Impact factor: 5.744

Review 2.  Handling drop-out in longitudinal studies.

Authors:  Joseph W Hogan; Jason Roy; Christina Korkontzelou
Journal:  Stat Med       Date:  2004-05-15       Impact factor: 2.373

3.  Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Wai Tat Chiu; Olga Demler; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

4.  Participants who left a multiple-wave cohort study had similar baseline characteristics to participants who returned.

Authors:  Robert S Ware; Gail M Williams; Rosemary L Aird
Journal:  Ann Epidemiol       Date:  2006-04-18       Impact factor: 3.797

Review 5.  The psychometric properties of the Composite International Diagnostic Interview.

Authors:  G Andrews; L Peters
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1998-02       Impact factor: 4.328

6.  Rationally and empirically derived dimensions of children's symptomatology: expert ratings and confirmatory factor analyses of the CBCL.

Authors:  L J Lengua; C A Sadowski; W N Friedrich; J Fisher
Journal:  J Consult Clin Psychol       Date:  2001-08

7.  Latent class analysis of anxiety and depressive symptoms of the Youth Self-Report in a general population sample of young adolescents.

Authors:  Natasja D J van Lang; Robert F Ferdinand; Johan Ormel; Frank C Verhulst
Journal:  Behav Res Ther       Date:  2005-08-24

8.  Validity of the CBCL/YSR DSM-IV scales Anxiety Problems and Affective Problems.

Authors:  Robert F Ferdinand
Journal:  J Anxiety Disord       Date:  2007-02-03

9.  Predicting anxiety diagnoses with the Youth Self-Report.

Authors:  Robert F Ferdinand
Journal:  Depress Anxiety       Date:  2007       Impact factor: 6.505

10.  The ability of YSR DSM-oriented depression scales to predict DSM-IV depression in young adults: a longitudinal study.

Authors:  Kaeleen Dingle; Rosa Alati; Gail M Williams; Jake M Najman; William Bor; Alexandra Clavarino
Journal:  J Affect Disord       Date:  2009-06-07       Impact factor: 4.839

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  6 in total

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2.  The course of childhood anxiety symptoms: developmental trajectories and child-related factors in normal children.

Authors:  Suzanne Broeren; Peter Muris; Sofia Diamantopoulou; Jess R Baker
Journal:  J Abnorm Child Psychol       Date:  2013-01

3.  Cortisol Awakening Response and Internalizing Symptoms Across Childhood: Exploring the Role of Age and Externalizing Symptoms.

Authors:  Ellen W McGinnis; Nestor Lopez-Duran; Cecilia Martinez-Torteya; James L Abelson; Maria Muzik
Journal:  Int J Behav Dev       Date:  2015-06-19

4.  Lingual Gyrus Surface Area Is Associated with Anxiety-Depression Severity in Young Adults: A Genetic Clustering Approach.

Authors:  Baptiste Couvy-Duchesne; Lachlan T Strike; Greig I de Zubicaray; Katie L McMahon; Paul M Thompson; Ian B Hickie; Nicholas G Martin; Margaret J Wright
Journal:  eNeuro       Date:  2018-01-19

5.  Psychometric Properties and Clinical Usefulness of the Youth Self-Report DSM-Oriented Scales: A Field Study among Detained Male Adolescents.

Authors:  Olivier F Colins
Journal:  Int J Environ Res Public Health       Date:  2016-09-21       Impact factor: 3.390

6.  Ten-year changes in the psychosocial well-being, psychopathology, substance use, suicidality, bullying, and sense of coherence of 18-year-old males: a Finnish population-based time-trend study.

Authors:  Kim Kronström; Petteri Multimäki; Terja Ristkari; Kai Parkkola; Lauri Sillanmäki; Andre Sourander
Journal:  Eur Child Adolesc Psychiatry       Date:  2020-03-30       Impact factor: 4.785

  6 in total

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