Psychometric Evaluation and Clinical Norms of a Dutch Version of the Body Uneasiness Test Among Individuals With Self‐Reported Eating Disorder Pathology

INTRODUCTION: The present study evaluates the psychometric properties and provides normative data for the Dutch Body Uneasiness Test. The instrument was administered to a clinical sample (N = 448) and a community-based sample (N = 223). The Body Uneasiness Test was translated and back-translated. METHODS: Internal consistency, item-rest correlation, test-retest reliability, and concurrent validity were assessed. The Body Shape Questionnaire and the Eating Disorder Examination-Shape concern subscale were used as reference measures. To establish criterion validity, a receiver-operating-characteristic curve-analysis was performed using both groups as reference groups. Confirmatory factor analysis tested five- and eight-factor structures. Norms (population-based T-scores and percentile scores) were established. RESULTS: The psychometric properties were good, with the Body Uneasiness Test distinguishing well between individuals with and without eating disorder pathology (area-under-the-curve value = 0.77-0.88). The Body Uneasiness Test-A had a five-factor structure, and the Body Uneasiness Test-B had an eight-factor structure. In accordance with other samples, clinical cut-off for the Body Uneasiness Test A was 1.2. CONCLUSIONS: These results suggested that the Dutch Body Uneasiness Test is a useful tool for screening various aspects of body image in individuals with eating disorder pathology in research and in clinical practice.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Psychology
Published
2026-04-03
DOI
https://doi.org/10.1002/jclp.70143
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric Evaluation and Clinical Norms of a Dutch Version of the Body Uneasiness Test Among Individuals With Self‐Reported Eating Disorder Pathology

Edwin de Beurs, Bernou Melisse, Lanaya M. van Uffelen
Journal of Clinical Psychology
Eating Disorders and Behaviors
article

Psychometric Evaluation and Clinical Norms of a Dutch Version of the Body Uneasiness Test Among Individuals With Self‐Reported Eating Disorder Pathology

Edwin de Beurs, Bernou Melisse, Lanaya M. van Uffelen
article en

Abstract

INTRODUCTION: The present study evaluates the psychometric properties and provides normative data for the Dutch Body Uneasiness Test. The instrument was administered to a clinical sample (N = 448) and a community-based sample (N = 223). The Body Uneasiness Test was translated and back-translated. METHODS: Internal consistency, item-rest correlation, test-retest reliability, and concurrent validity were assessed. The Body Shape Questionnaire and the Eating Disorder Examination-Shape concern subscale were used as reference measures. To establish criterion validity, a receiver-operating-characteristic curve-analysis was performed using both groups as reference groups. Confirmatory factor analysis tested five- and eight-factor structures. Norms (population-based T-scores and percentile scores) were established. RESULTS: The psychometric properties were good, with the Body Uneasiness Test distinguishing well between individuals with and without eating disorder pathology (area-under-the-curve value = 0.77-0.88). The Body Uneasiness Test-A had a five-factor structure, and the Body Uneasiness Test-B had an eight-factor structure. In accordance with other samples, clinical cut-off for the Body Uneasiness Test A was 1.2. CONCLUSIONS: These results suggested that the Dutch Body Uneasiness Test is a useful tool for screening various aspects of body image in individuals with eating disorder pathology in research and in clinical practice.

Journal of Clinical Psychology
Leiden University (NL), Utrecht University (NL), Tilburg University (NL), Abu Dhabi Health Services (AE), Arkin (NL), Eurocept Group (Netherlands) (NL)
Openalex Percentile: Top 25%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.