Evidence map›Paper›PMID 39953552›Full record

ArticleBioPsychoSocial medicine2025

Development of computer adaptive tests to assess the psychological status of individuals with an eating disorder or type 2 diabetes.

Takeshi Horie, Ken Kurisu, Shuji Inada, Kenshi Kawahara, Yutaka Matsuyama, Hiroe Kikuchi, Yoshiharu Yamamoto, Toshimasa Yamauchi, Kazuhiro Yoshiuchi

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In one paragraph

Article in BioPsychoSocial medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Takeshi HorieDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ken KurisuDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shuji InadaDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kenshi KawaharaNozomi Clinic, Kanagawa, Japan.
Yutaka MatsuyamaDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroe KikuchiDepartment of Psychosomatic Medicine, National Center for Global Health and Medicine Hospital, Tokyo, Japan.
Yoshiharu YamamotoEducational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kazuhiro YoshiuchiDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. kyoshiuc-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-8164-4910

Funding

Japan Society for the Promotion of Science London 25460889
6 · The paper itself

Abstract

backgroundIndividuals with type 2 diabetes and eating disorders must change their eating behaviors, which are often influenced by psychological factors like depression and anxiety. To efficiently assess daily psychological status, the present study aimed to develop computerized adaptive tests (CAT) based on item response theory (IRT).

methodsIndividuals with depression, anxiety disorders, eating disorders, type 2 diabetes, and healthy persons participated in the study. Participants completed six questionnaires, including momentary and most recent one-week depression, anxiety, and positive affect. We selected items meeting the IRT assumptions, applied a graded response model, and conducted CAT simulations.

resultsAcross all six questionnaires, the CAT simulations used a smaller number of items and exhibited substantial Pearson's correlation coefficients exceeding 0.95 between simulated and full item-set mood status estimates. These estimated mood scores demonstrated satisfactory concurrent validity with the Hospital Anxiety and Depression Scale and sufficient discriminant validity between the clinical group and healthy controls.

conclusionThese findings suggest that these scales offer efficient measurement of the mood status of individuals with an eating disorder or type 2 diabetes.

Indexed as

Computerized adaptive testingEating behaviorsEating disordersHospital anxiety and Depression ScaleItem response theoryType 2 diabetes

Identifiers

PMID39953552
PMCPMC11827128

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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.