Evidence map›Paper›PMID 40731392›Full record

ArticleBMC psychiatry2025

Psychometric evaluation of the Farsi version of the electroconvulsive therapy related anxiety questionnaire.

Seyedmohammad Mirhosseini, Hamid Sharif-Nia, Mohamad Gharehbaghi, Somaye Minaei-Moghadam, Jasmien Obbels, Fateme Imani Parsa, Mahboobeh Khajeh, Hossein Ebrahimi

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Seyedmohammad MirhosseiniDepartment of Nursing, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Hamid Sharif-NiaPsychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mohamad GharehbaghiDepartment of Nursing, Torbat Jam Faculty of Medical Sciences, Torbat Jam, Iran.
Somaye Minaei-MoghadamNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Jasmien ObbelsAcademic Center for ECT and Neuromodulation (AcCENT), University Psychiatry Center KU Leuven (UPC), University of Leuven, Leuven, Belgium.
Fateme Imani ParsaStudent Research Committee, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Mahboobeh KhajehDepartment of Nursing, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran. m_khajeh@ymail.com.
Hossein EbrahimiCenter for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the psychometric properties of the Farsi version of the Electroconvulsive Therapy-Related Anxiety Questionnaire (ERAQ).

methodsThis methodological study was conducted among patients undergoing or with a history of Electro Convulsive Therapy (ECT) in Mashhad, Iran, during 2024-2025. Data were collected using a demographic profile form and the ERAQ. The questionnaire was translated into Farsi using the forward-backward translation method, and its face and content validity were assessed both qualitatively and quantitatively. To evaluate construct validity, exploratory factor analysis (n = 150) and confirmatory factor analysis (n = 150) were performed. Convergent validity was examined using Composite Reliability and Average Variance Extracted values, while discriminant validity was assessed through the Heterotrait-Monotrait ratio. Reliability was determined by estimating internal consistency through Cronbach's alpha and McDonald's omega coefficients.

resultsDuring exploratory factor analysis, item 9 was removed because its factor loading was less than 0.30, and the remaining 16 items were distributed across three factors: life disruption, socio-physical disruption, and memory disruption, which collectively explained 45% of the total variance. Confirmatory factor analysis demonstrated a good fit for the proposed model. All composite reliability, maximum reliability, and heterotrait-monotrait ratios supported the convergent and discriminant validity of the ERAQ. Additionally, Cronbach's alpha and McDonald's omega coefficients confirmed the acceptable internal consistency of the Farsi version of the ERAQ.

conclusionBased on the findings of this study, the Farsi version of the ERAQ demonstrates sufficient validity and reliability to assess anxiety symptoms associated with ECT in the Iranian population.

Indexed as

AnxietyElectroconvulsive TherapyAdultAgedFactor Analysis, StatisticalFemaleHumansIranMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesAnxietyElectroconvulsive therapyPsychometricReliabilityValidity

Identifiers

PMID40731392
PMCPMC12309188

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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.