Observational studyBMJ open2020
Cardiovascular disease risk perception in a Hungarian community sample: psychometric evaluation of the ABCD Risk Perception Questionnaire.
Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Validation of the Dutch-Flemish translated ABCD questionnaire to measure cardiovascular diseases knowledge and risk perception among adults.Scientific reports · 2021Trial
- Article
- Validation of Risk Perception Cut-Offs in Italian Brief PRHDS (PRHDS-BI): Implications for Primary Cardiovascular Prevention.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026Observational
- The impact of perception bias for cardiovascular disease risk on physical activity and dietary habits.International journal of nursing sciences · 2024Article
- Review
- Measuring Cardiovascular Disease Risk Perception: Translation and Validation of the Indonesian ABCD Risk Questionnaire.Nursing research and practice · 2024Article
- Article
- Cardiovascular disease risk perception among community adults in South China: a latent profile analysis.Frontiers in public health · 2023Article
- Psychometric properties of the Chinese version of Attitudes and Beliefs about Cardiovascular Disease Risk Perception Questionnaire.Scientific reports · 2022Article
- Translation and validation of the Chinese ABCD risk questionnaire to evaluate adults' awareness and knowledge of the risks of cardiovascular diseases.BMC public health · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesReliable and valid assessment of subjective risk perception is a crucial part of cardiovascular disease (CVD) prevention and rehabilitation. Since the recently developed Attitudes and Beliefs about Cardiovascular Disease (ABCD) Risk Questionnaire complies with these requirements, the aim of the present study was to investigate the psychometric properties of the Hungarian version of the measure. DESIGN AND
settingCommunity-based cross-sectional observational study
participantsIn sum, 410 (M=49.53 years, SD=8.09) Hungarian adults (inclusion criteria: aged 35 and above, not under treatment with a psychiatric disorder) were included in the present study (female: n=277, 67.6%; college or university-level education: n=247, 60.2%).
methodsWe translated the ABCD Risk Questionnaire into Hungarian and checked its psychometric properties and validity indices. PRIMARY OUTCOME MEASURES: Internal consistency, explorative and confirmative factorial validity. Associations with sociodemographic and health-related characteristics, as well as with measures of mental health (depressive symptoms, perceived stress and well-being).
resultsExploratory and confirmatory factor analyses supported a three-factor solution, corresponding to the original subscales of Risk Perception, Perceived Benefits and Healthy Eating Intentions, with a moderate correlation between the latent constructs. The respondents' level of knowledge on CVD risk factors was largely independent of their subjective risk perception. The results also provided evidence on the weak-to-medium associations between mental health indices and CVD-related perceptions. Based on the results, a shortened scale version was also suggested.
conclusionThis study confirms the factorial structure, internal consistency and validity of the Hungarian version of the ABCD Risk Questionnaire in a non-English-speaking community sample. The ABCD Risk Perception Questionnaire is a parsimonious and psychometrically adequate measure to assess CVD-related attitudes and knowledge in the general population. Further research is needed in socioeconomically more diverse and in clinical samples, as well as in longitudinal intervention studies.
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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.