ArticleClinical cardiology2018
Association between clinical factors and self-underestimation of cardiovascular risk in subjects submitted to a routine health evaluation.
Article in Clinical cardiology, 2018. 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, 10 citations in OpenAlex.
- From Misperception to Prevention: Improving Cardiovascular Health and Risk Perception Through Risk Communication in Hungary.Healthcare (Basel, Switzerland) · 2026Article
- 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
- Review
- Assessment of routine medical checkups for common noncommunicable diseases and associated factors among healthcare professionals in Addis Ababa, Ethiopia, in 2022 a cross-sectional study.Annals of medicine and surgery (2012) · 2023Article
- Low Subjective Cardiovascular Disease Risk Perceptions among Hypertensive Patients in Addis Ababa, Ethiopia.Integrated blood pressure control · 2022Article
- Which symptoms are the psychopathological core affecting the manifestation of pseudo-cardiac symptoms and poor sleep quality in young adults? Symptoms of personality disorders versus clinical disorders.Frontiers in psychology · 2022Article
- Primary Prevention of Cardiovascular Risk in Lithuania-Results from EUROASPIRE V Survey.Medicina (Kaunas, Lithuania) · 2020Observational
- Inhibition of Galectin-3 Alleviates Cigarette Smoke Extract-Induced Autophagy and Dysfunction in Endothelial Progenitor Cells.Oxidative medicine and cellular longevity · 2019Article
- Association between clinical factors and self-underestimation of cardiovascular risk in subjects submitted to a routine health evaluation.Clinical cardiology · 2018Article
- Biases in Cardiovascular Risk Perception: Psychological and Demographic Correlates: A Cross-Sectional Study in Hungary.Journal of primary care & community healthArticle
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe perception of cardiovascular (CV) risk is essential for adoption of healthy behaviors. However, subjects underestimate their own risk. HYPOTHESIS: Clinical characteristics might be associated with self-underestimation of CV risk.
methodsThis is a retrospective, cross-sectional study of individuals submitted to routine health evaluation between 2006 and 2012, with calculated lifetime risk score (LRS) indicating intermediate or high risk for CV disease (CVD). Self-perception of risk was compared with LRS. Logistic regression analysis was performed to test the association between clinical characteristics and subjective underestimation of CV risk.
resultsData from 5863 subjects (age 49.4 ± 7.1 years; 19.9% female) were collected for analysis. The LRS indicated an intermediate risk for CVD in 45.7% and a high risk in 54.3% of individuals. The self-perception of CV risk was underestimated compared with the LRS in 4918 (83.9%) subjects. In the adjusted logistic regression model, age (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.10-1.47 per 10 years, P = 0.001), smoking (OR: 1.99, 95% CI: 1.40-2.83, P < 0.001), dyslipidemia (OR: 1.21, 95% CI: 1.01-1.46, P = 0.045), physical activity (OR: 1.66, 95% CI: 1.36-2.02, P < 0.001), and use of antihypertensive (OR: 1.49, 95% CI: 1.15-1.92, P = 0.002) and lipid-lowering medications (OR: 2.13, 95% CI: 1.56-2.91, P < 0.001) were associated with higher chance of risk underestimation, whereas higher body mass index (OR: 0.92, 95% CI: 0.90-0.94, P < 0.001), depressive symptoms (OR: 0.46, 95% CI: 0.37-0.57, P < 0.001), and stress (OR: 0.41, 95% CI: 0.33-0.50, P < 0.001) decreased the chance.
conclusionsAmong individuals submitted to routine medical evaluation, aging, smoking, dyslipidemia, physical activity, and use of antihypertensive and lipid-lowering medications were associated with higher chance of CV risk underestimation. Subjects with these characteristics may benefit from a more careful risk orientation.
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