Evidence map›Paper›PMID 20024895›Full record

ArticleInternational journal of methods in psychiatric research2009

The structure of common mental disorders: a replication study in a community sample of adolescents and young adults.

Katja Beesdo-Baum, Michael Höfler, Andrew T Gloster, Jens Klotsche, Roselind Lieb, André Beauducel, Markus Bühner, Ronald C Kessler, Hans-Ulrich Wittchen

Open access · bronzeAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
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  4. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021
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  5. Article
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  8. Competing Factor Models of Child and Adolescent Psychopathology.Journal of abnormal child psychology · 2016
    Article
  9. Article
  10. The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative.Journal of child psychology and psychiatry, and allied disciplines · 2015
    Article
  11. Will mania survive DSM-5 and ICD-11?International journal of bipolar disorders · 2015
    Article
  12. Article
  13. Review
  14. Review
  15. Transdiagnostic factors of psychopathology and substance use disorders: a review.Social psychiatry and psychiatric epidemiology · 2015
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Katja Beesdo-BaumInstitute of Clinical Psychology and Psychotherapy, Technische Universitaet Dresden, Dresden, Germany. beesdo@psychologie.tu-dresden.de
Michael Höfler
Andrew T Gloster
Jens Klotsche
Roselind Lieb
André Beauducel
Markus Bühner
Ronald C Kessler
Hans-Ulrich Wittchen
Harvard University · USHelmut Schmidt University · DELudwig-Maximilians-Universität München · DEMax Planck Institute of Psychiatry · DETU Dresden · DEUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research suggests that patterns of comorbidity of common mental disorders among adults are best reflected by a hierarchical three-factor structure with two correlated factors ('anxious-misery' and 'fear') summarized in a second-order 'internalizing' factor and one 'externalizing' factor. This three-factor structure has not been examined yet in a sample of adolescents and young adults.A representative sample of 3021 adolescents and young adults (baseline age 14-24) were prospectively followed over 10 years. Mental disorders were assessed according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) by using the standardized Munich Composite International Diagnostic Interview. Ten mental disorders (major depressive episode, dysthymia, generalized anxiety disorder, social phobia, specific phobia, agoraphobia, panic disorder, alcohol dependence, drug dependence, antisocial personality) were fitted to a series of Confirmatory Factor Analysis models using: (1) 12-month data, and (2) lifetime data from a person-year data set.The three-factor model showed good fit to the observed data in our sample both when 12-month diagnoses and lifetime-to-date diagnoses from a person-year data file were used; yet the higher-order 'internalizing' factor summarizing 'anxious misery' and 'fear' had to be omitted.The three-factor model could be replicated in a sample of adolescents and young adults with the exception that the second-order 'internalizing' factor was not consistent with the data. Further research is necessary to provide more complete insight into the structure of mental disorders by examining the stability of the structure of mental disorders in different developmental stages (ages) and by using a more extensive set of mental disorders.

Indexed as

Factor Analysis, StatisticalPsychiatric Status Rating ScalesResidence CharacteristicsAdolescentAge FactorsChildCommunity Mental Health ServicesComorbidityDiagnostic and Statistical Manual of Mental DisordersFemaleHumansLongitudinal StudiesMaleMental DisordersYoung Adult

Identifiers

PMID20024895
PMCPMC6878418
OpenAlexW2104797673

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.