Evidence map›Paper›PMID 25537344›Full record

ArticleGeneral hospital psychiatry

Factor structure and clinical utility of the Beck depression inventory in patients with binge eating disorder and obesity.

Tomoko Udo, Sherry A McKee, Carlos M Grilo

Abstract read
In one paragraph

Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  11. Inflammation and the dimensions of depression: A review.Frontiers in neuroendocrinology · 2020
    Review
  12. Article
  13. Article
  14. 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

3 authors.

Tomoko UdoSchool of Public Health, University at Albany, State University of New York, Albany, NY 12222, USA. Electronic address: tschaller@albany.edu.
Sherry A McKeeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
Carlos M GriloDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.

Funding

Treatment of Obesity and Binge Eating: Behavioral weight Loss versus Stepped CareR01DK049587 · NIDDK · YALE UNIVERSITY · PI GRILO, CARLOS M · 2002 to 2020
$8.5M
Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
Yale BIRCWH Scholar Program on Women's Health and Addictive BehaviorsK12DA031050 · NIDA · YALE UNIVERSITY · PI MAZURE, CAROLYN M. · 2010 to 2014
$2.5M
Mid-Career Investigator Award in Eating and WeightK24DK070052 · NIDDK · YALE UNIVERSITY · PI GRILO, CARLOS M · 2005 to 2015
$1.4M
PSYCHOLOGICAL &DRUG TREATMENT OF BINGE EATING DISORDERR29DK049587 · NIDDK · YALE UNIVERSITY · PI GRILO, CARLOS M · 1996 to 2000
$157k
NIDA NIH HHS K12 DA031050NIDA NIH HHS P50 DA033945NIDDK NIH HHS K24 DK070052NIDDK NIH HHS R01 DK049587NIDDK NIH HHS R01 DK49587
6 · The paper itself

Abstract

objectiveThe Beck Depression Inventory (BDI) is often used to assess depression symptoms, but its factor structure and its clinical utility have not been evaluated in patients with binge eating disorder (BED) and obesity.

methodsA total of 882 treatment-seeking obese patients with BED were administered structured interviews (Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Axis I Disorders) and completed self-report questionnaires.

resultsExploratory and confirmatory factor analyses supported a brief 16-item BDI version with a three-factor structure (affective, attitudinal and somatic). Both 21- and 16-item versions showed excellent internal consistency (both α=0.89) and had significant correlation patterns with different aspects of eating disorder psychopathology; three factors showed significant but variable associations with eating disorder psychopathology. Area under the curves (AUC) for both BDI versions were significant in predicting major depressive disorder (MDD; AUC=0.773 [16-item], 73.5% sensitivity/70.2% specificity, AUC=0.769 [21-item], 79.5% sensitivity/64.1% specificity) and mood disorders (AUC=0.763 [16-item], 67.1% sensitivity/71.5% specificity, AUC=0.769 [21-item], 84.2% sensitivity/55.7% specificity). The 21-item BDI (cutoff score ≥16) showed higher negative predictive values (94.0% vs. 93.0% [MDD]; 92.4% vs. 88.3% [mood disorders]) than the brief 16-item BDI (cutoff score ≥13).

conclusionsBoth BDI versions demonstrated moderate performance as a screening instrument for MDD/mood disorders in obese patients with BED. Advantages and disadvantages for both versions are discussed. A three-factor structure has potential to inform the conceptualization of depression features.

Indexed as

AdultBinge-Eating DisorderFemaleHumansMaleMiddle AgedMood DisordersObesityPsychiatric Status Rating ScalesPsychometricsBinge eating disorderDepressionFactor structureObesity

Identifiers

PMID25537344
PMCPMC4361288

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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.