Evidence map›Paper›PMID 21864349›Full record

ArticleBMC psychiatry2011

Dimensionality and scale properties of the Edinburgh Depression Scale (EDS) in patients with type 2 diabetes mellitus: the DiaDDzoB study.

Evi S A de Cock, Wilco H M Emons, Giesje Nefs, Victor J M Pop, François Pouwer

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Article in BMC psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

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10citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Measurement properties of depression questionnaires in patients with diabetes: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Pooled it
  4. Article
  5. Depression in people with type 2 diabetes: current perspectives.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Review
  6. Article
  7. An evaluation of the Minnesota Living with Heart Failure Questionnaire using Rasch analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Article
  8. Anhedonia: a concept analysis.Archives of psychiatric nursing · 2013
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Evi S A de CockDepartment of Medical Psychology & Neuropsychology, Center of Research on Psychology in Somatic diseases (CoRPS), Tilburg University, Tilburg, The Netherlands.
Wilco H M Emons
Giesje Nefs
Victor J M Pop
François Pouwer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a common complication in type 2 diabetes (DM2), affecting 10-30% of patients. Since depression is underrecognized and undertreated, it is important that reliable and validated depression screening tools are available for use in patients with DM2. The Edinburgh Depression Scale (EDS) is a widely used method for screening depression. However, there is still debate about the dimensionality of the test. Furthermore, the EDS was originally developed to screen for depression in postpartum women. Empirical evidence that the EDS has comparable measurement properties in both males and females suffering from diabetes is lacking however.

methodsIn a large sample (N = 1,656) of diabetes patients, we examined: (1) dimensionality; (2) gender-related item bias; and (3) the screening properties of the EDS using factor analysis and item response theory.

resultsWe found evidence that the ten EDS items constitute a scale that is essentially one dimensional and has adequate measurement properties. Three items showed differential item functioning (DIF), two of them showed substantial DIF. However, at the scale level, DIF had no practical impact. Anhedonia (the inability to be able to laugh or enjoy) and sleeping problems were the most informative indicators for being able to differentiate between the diagnostic groups of mild and severe depression.

conclusionsThe EDS constitutes a sound scale for measuring an attribute of general depression. Persons can be reliably measured using the sum score. Screening rules for mild and severe depression are applicable to both males and females.

Indexed as

Reproducibility of ResultsDepressionDiabetes Mellitus, Type 2FemaleHumansMalePrejudicePsychiatric Status Rating ScalesPsychometrics

Identifiers

PMID21864349
PMCPMC3179715

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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.