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      Cardiovascular disease risk perception in a Hungarian community sample: psychometric evaluation of the ABCD Risk Perception Questionnaire

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          Abstract

          Objectives

          Reliable 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 setting

          Community-based cross-sectional observational study

          Participants

          In 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%).

          Methods

          We 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).

          Results

          Exploratory 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.

          Conclusion

          This 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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          Most cited references24

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          General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

          Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P<0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non-laboratory-based predictors. A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care.
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            AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Update: Consensus Panel Guide to Comprehensive Risk Reduction for Adult Patients Without Coronary or Other Atherosclerotic Vascular Diseases. American Heart Association Science Advisory and Coordinating Committee.

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              • Record: found
              • Abstract: not found
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              European guidelines on cardiovascular disease prevention in clinical practice: full text. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts).

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                13 July 2020
                : 10
                : 7
                : e036028
                Affiliations
                [1 ]departmentInstitute of Psychology , University of Szeged , Szeged, Hungary
                [2 ]departmentHeart and Vascular Center , Semmelweis University , Budapest, Hungary
                Author notes
                [Correspondence to ] Dr Tamas Martos; tamas.martos@ 123456psy.u-szeged.hu
                Author information
                http://orcid.org/0000-0001-5946-1299
                Article
                bmjopen-2019-036028
                10.1136/bmjopen-2019-036028
                7359054
                32665346
                23ab23b3-efa4-437b-98d1-a57dac123b11
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 27 November 2019
                : 28 April 2020
                : 03 June 2020
                Funding
                Funded by: National Research and Development and Innovation Office (NKFI), Hungary;
                Award ID: NVKP-16-1-2016-0017
                Categories
                Cardiovascular Medicine
                1506
                1683
                Original research
                Custom metadata
                unlocked

                Medicine
                cardiac epidemiology,mental health,risk management,statistics & research methods
                Medicine
                cardiac epidemiology, mental health, risk management, statistics & research methods

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