ArticleInternational journal of cardiology. Cardiovascular risk and prevention2022
What CVD risk factors predict self-perceived risk of having a myocardial infarction? A cross-sectional study.
Article in International journal of cardiology. Cardiovascular risk and prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Improved adherence to statin treatment and differences in results between men and women after pictorial risk communication-a sub-study of the VIPVIZA RCT.European journal of clinical pharmacology · 2024Trial
- Inherited risk of coronary artery disease: redefining care with imaging and genetics.Nature reviews. Cardiology · 2026Review
- 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
- Risk of cardiovascular disease in Germany: results from GEDA 2022.Journal of health monitoring · 2025Article
- Accuracy of self-perceived cardiovascular disease risk and factors predicting risk underestimation in perimenopausal and postmenopausal women in Ismailia, Egypt.The Journal of the Egyptian Public Health Association · 2024Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aims to identify predictors of self-perceived risk of myocardial infarction (MI).
methodsAmong 564 men and women (50-65 years; randomly selected from the Swedish population), we assessed risk perception as relative self-perceived risk compared to others (lower, same, higher) and percentage ten-year absolute risk. Predictors (added blockwise) were identified using multinomial or linear regression, providing odds ratios (ORs) or β coefficients with their 95% confidence intervals (CI).
resultsThe mean of self-perceived 10-year MI risk was 12%. Lower BMI (AOR 0.57, 95% CI: 0.44-0.75), low stress (AOR 2.51, 95% CI: 1.39-4.52), high level of physical activity (AOR 1.66, 95% CI:1.01-2.74), hypertension (AOR 0.42, 95% CI: 0.23-0.76), family history (AOR 0.38, 95% CI: 0.21-0.69), and poor general health (AOR 0.41, 95% CI: 0.19-0.89) predicted if respondents perceived their MI risk as lower. Poor general health (AOR 1.94, 95% CI: 1.01-3.73), family history (AOR 2.72, 95% CI: 1.57-4.72), and high cholesterol (AOR 2.45, 95% CI: 1.18-5.09) predicted if respondents perceived their MI risk as higher. Low level of self-perceived CVD knowledge and low numeracy predicted if respondents perceived their MI risk as the same as others. High cholesterol (B 6.85, 95% CI: 2.47-11.32) and poor general health (B 8.75, 95% CI: 4.58-13.00) predicted a higher percentage of perceived ten-year risk.
conclusionGeneral health was a common predictor of self-perceived MI risk. Lifestyle factors (BMI, physical activity) and stress dominated the predictors for perceiving MI risk as lower than others, while high cholesterol predicted perception of high risk.
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