Evidence map›Paper›PMID 42276808›Full record

ArticleBMJ open2026

Translation and validation of the Norwegian ABCD Risk Questionnaire to assess cardiovascular disease knowledge and risk perception prior to myocardial infarction.

Virginia De Martin Topranin, Gunhild Brørs, Julie Caroline Sæther, Eva Gerdts, Siri Vangen, Anja Bye

Abstract readValidation Study
In one paragraph

Article in BMJ open, 2026. 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Virginia De Martin TopraninDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0009-0000-8123-0841
Gunhild BrørsDepartment of Cardiology and Cardiothoracic Surgery, St Olav's University Hospital, Trondheim, Norway.ORCID http://orcid.org/0000-0003-0882-3944
Julie Caroline SætherDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Eva GerdtsCenter for Research on Cardiac Disease in Women, Department of Clinical Science, University of Bergen, Bergen, Norway.
Siri VangenNorwegian Research Centre for Women's Health, Oslo University Hospital, Oslo, Norway.
Anja ByeDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway anja.bye@ntnu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to translate the Attitudes and Beliefs about Cardiovascular Disease (ABCD) Risk Questionnaire into Norwegian and assess its psychometric properties among individuals with a history of myocardial infarction.

designThe study adopted a cross-sectional design. The original questionnaire was translated into Norwegian and adapted for use in the target population. The Norwegian version was pilot tested in a sample of patients and then validated in the target population.

settingNorway, using a web-based solution to collect data. PATIENTS: A random sample of Norwegian individuals <85 years old with a history of myocardial infarction and no cardiovascular disease before their first myocardial infarction.

main outcome measuresInternal consistency was tested using Cronbach's α and test-retest reliability using intraclass correlation coefficient (ICC). Difficulty and discrimination indices were determined for the Knowledge scale. Confirmatory factor analysis (CFA) was used to assess structural validity of the Risk scale.

resultsData for 746 participants (mean age, SD: 66.4, 10.3 years), of which 26.9% females were analysed. The Norwegian version showed satisfactory internal consistency (Cronbach's α 0.73-0.79) but modest test-retest reliability (ICC 0.35-0.64). The Knowledge scale showed moderate difficulty (0.39-0.84) and good discrimination power (0.44-0.60). The one-factor model CFA for each scale achieved acceptable fit, and the four-factor model showed moderate fit (root mean square error of approximation=0.05, standardised root mean squared residual=0.07, Comparative Fit Index=0.91, Tucker-Lewis Index=0.88).

conclusionsThe Norwegian translated ABCD Risk Questionnaire demonstrated satisfactory psychometric properties and can be considered a useful instrument for assessing knowledge and risk perception among individuals with a history of myocardial infarction.

Indexed as

Cardiovascular DiseasesHealth Knowledge, Attitudes, PracticeMyocardial InfarctionAgedAged, 80 and overCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedNorwayPsychometricsReproducibility of ResultsRisk AssessmentSurveys and QuestionnairesAwarenessCoronary heart diseaseHealth LiteracyPREVENTIVE MEDICINERisk AssessmentSurveys and Questionnaires

Identifiers

PMID42276808
PMCPMC13264881

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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.