Evidence map›Paper›PMID 37660017›Full record

ArticleBMC psychiatry2023

Psychometric and structural properties of the Karolinska Exhaustion Disorder Scale: a 1,072-patient study.

Elin Lindsäter, Jakob Clason van de Leur, Christian Rück, Erik Hedman-Lagerlöf, Renzo Bianchi

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Photo-supported conversations about well-being (BeWellScandinavian journal of primary health care · 2025
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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

5 authors.

Elin LindsäterDivision of Psychology, Department of Clinical Neuroscience, Karolinska Institutet. Gustavsberg Primary Care Clinic, Odelbergs Väg 19, 134 40, Gustavsberg, Sweden. elin.lindsater@ki.se.
Jakob Clason van de LeurDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Christian RückCenter for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden.
Erik Hedman-LagerlöfDivision of Psychology, Department of Clinical Neuroscience, Karolinska Institutet. Gustavsberg Primary Care Clinic, Odelbergs Väg 19, 134 40, Gustavsberg, Sweden.
Renzo BianchiDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExhaustion disorder is a stress-related diagnosis that was introduced in 2005 to the Swedish version of the International Statistical Classification of Diseases and Related Health Problems, 10

methodsThe study relied on data from 1,072 patients diagnosed with exhaustion disorder that were included in two clinical trials in Sweden. We investigated the dimensionality, homogeneity, and reliability of the KEDS using advanced statistical techniques, including exploratory structural equation modeling (ESEM) bifactor analysis.

resultsA one-factor confirmatory analytic model exhibited a poor fit, suggesting at least a degree of multidimensionality. The ESEM bifactor analysis found the general factor to explain about 72% of the common variance extracted, with an omega hierarchical coefficient of 0.680. Thus, the ESEM bifactor analysis did not clearly support the scale's essential unidimensionality. A homogeneity analysis revealed a scale-level H of only 0.296, suggesting that KEDS's total scores do not accurately rank individuals on the latent continuum assumed to underlie the measure. The KEDS's reliability was modest, signaling considerable measurement error.

conclusionFindings reveal important limitations to the KEDS with possible implications for the status of exhaustion disorder as a nosological category.

trial registrationThis study was pre-registered on Open Science Framework (osf.io) on April 24, 2022 ( https://osf.io/p34sq/ ).

Indexed as

International Classification of DiseasesPatientsHumansLatent Class AnalysisPsychometricsReproducibility of ResultsBurnoutConstruct validityDimensionalityFactor analysisHealthPsychological stressReliability

Identifiers

PMID37660017
PMCPMC10475192

What OpenQuestion holds

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Registered trials

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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.