Evidence map›Paper›PMID 23776155›Full record

ArticleDepression and anxiety2014

The latent structure and comorbidity patterns of generalized anxiety disorder and major depressive disorder: a national study.

Carlos Blanco, José M Rubio, Melanie Wall, Roberto Secades-Villa, Katja Beesdo-Baum, Shuai Wang

Abstract read
In one paragraph

Article in Depression and anxiety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Observational
  2. Do Internalizing Syndromes have Incremental Validity for External Criteria Above and Beyond Each Other?Clinical psychological science : a journal of the Association for Psychological Science · 2026
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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

6 authors at 2 institutions in 1 country.

Carlos BlancoDepartment of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY.
José M Rubio
Melanie Wall
Roberto Secades-Villa
Katja Beesdo-Baum
Shuai Wang
New York Psychoanalytic Society and Institute · USColumbia University · US

Funding

Improving the Effectiveness of Treatment for Depression in HispanicsR01MH076051 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BLANCO, CARLOS · 2008 to 2012
$2.8M
Interpersonal therapy for depression in Breast CancerR01CA133050 · NCI · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MARKOWITZ, JOHN C · 2009 to 2013
$2.6M
Towards a Comprehensive Developmental Model of Substance Use DisordersR01DA019606 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI OLFSON, MARK · 2006 to 2016
$2.6M
SMART: Improving Detection & Outcome of Psychiatric Comorbidity in Drug TreatmentR01DA020783 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BLANCO, CARLOS · 2006 to 2010
$1.4M
Substance Use Comorbidity Care: Evidence-Based Stepped Strategies for DepressionR01DA023973 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BLANCO, CARLOS · 2009 to 2010
$1.1M
Bridging Efficacy and Effectiveness in Drug Abuse TreatmentK02DA023200 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BLANCO, CARLOS · 2008 to 2012
$618k
NCI NIH HHS CA133050NIDA NIH HHS DA019606NIDA NIH HHS DA020783NIDA NIH HHS DA023200NIDA NIH HHS DA023973NIDA NIH HHS K02 DA023200NIDA NIH HHS R01 DA019606NIDA NIH HHS R01 DA020783NIDA NIH HHS R01 DA023973NIMH NIH HHS MH076051NIMH NIH HHS R01 MH076051
6 · The paper itself

Abstract

backgroundThere is controversy on whether generalized anxiety disorder (GAD) and major depressive disorder (MDD) constitute the same or separate disorders. This study sought to examine the factor structure of the DSM-IV diagnostic criteria of GAD and MDD and the patterns of comorbidity associated with both disorders.

methodsData were drawn from the National Epidemiological Survey on Alcohol and Related conditions (NESARC), a representative sample of the adult general population in the United States (N = 43,093). Sociodemographic and psychiatric comorbidity correlates of GAD, MDD, and co-occurring GAD-MDD were obtained. Exploratory and confirmatory factor analyses of the DSM-IV diagnostic criteria for GAD and MDD were conducted, followed by a Multiple Indicators Multiple Causes (MIMIC) model to examine the invariance of the model across several sociodemographic covariates.

resultsA bifactor model with one general factor underlying all the MDD and GAD diagnostic criteria and another factor with large loadings only for the GAD criteria best represented the latent structure. This model showed excellent fit indices (CFI = 1.00, TLI = 1.00, RMSEA < 0.02), and a high degree of invariance across sociodemographic covariates. The comorbidity patterns of individuals with MDD only (n = 4,885), GAD only (n = 947) and GAD-MDD (n = 810) were clearly distinguishable.

conclusionsThe latent structure of the diagnostic criteria of MDD and GAD and their comorbidity patterns suggests that GAD and MDD are closely related but different nosological entities, with distinct latent structures, clinical manifestations, and patterns of comorbidity.

Indexed as

ComorbidityAdolescentAdultAgedAged, 80 and overAnxiety DisordersDiagnostic and Statistical Manual of Mental DisordersFactor Analysis, StatisticalFemaleHealth SurveysHumansMajor Depressive DisorderMaleMiddle AgedUnited StatesYoung Adultanxiety/anxiety disordersepidemiologyfactor analysismood disordersnosology

Identifiers

PMID23776155
PMCPMC3956045
OpenAlexW2162797330

What OpenQuestion holds

Textmetadata
LicenceTDM
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.