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Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

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Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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Troponins
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Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Psychoneuroimmunology: Cardiovascular Disease

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From Misperception to Prevention: Improving Cardiovascular Health and Risk Perception Through Risk Communication in Hungary.

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Related Experiment Video

Updated: Jun 22, 2026

Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs
14:35

Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs

Published on: April 17, 2021

9.0K

Biases in Cardiovascular Risk Perception: Psychological and Demographic Correlates: A Cross-Sectional Study in

Zsofia Ocsovszky1, Blanka Ehrenberger1, Orsolya Papp-Zipernovszky1,2

  • 1Semmelweis University, Budapest, Hungary.

Journal of Primary Care & Community Health
|April 29, 2026
PubMed
Summary

Many individuals misjudge their cardiovascular disease risk. This study found male sex, higher blood pressure, and older age predicted underestimation of risk, highlighting a need for targeted cardiovascular prevention interventions.

Keywords:
cardiovascular risk perceptionhealth behavioroptimistic perceptionpessimistic perceptionpreventionpsychological determinantsrisk misperception

Related Experiment Videos

Last Updated: Jun 22, 2026

Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs
14:35

Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs

Published on: April 17, 2021

9.0K

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Health Psychology

Background:

  • Cardiovascular disease (CVD) risk assessment is crucial for lifestyle choices.
  • Accurate perception of personal CVD risk is essential for effective prevention strategies.
  • Primary care settings offer opportunities to identify and address risk perception distortions.

Purpose of the Study:

  • To identify misperceptions of cardiovascular risk within a primary care population.
  • To determine predictors of accurate, underestimated, and overestimated cardiovascular risk perception.
  • To inform the development of interventions for improving cardiovascular risk awareness.

Main Methods:

  • Cross-sectional study of 376 participants in Hungary.
  • Calculation of Framingham cardiovascular risk score for objective risk assessment.
  • Administration of a questionnaire on demographics, medical history, psychological factors, and perceived risk.

Main Results:

  • Over half of participants exhibited inaccurate self-assessment of cardiovascular risk.
  • "Optimistic" perception (risk underestimation) was predicted by male sex, elevated blood pressure, and older age.
  • Significant proportions of participants underestimated (18%) or overestimated (43%) their calculated cardiovascular risk.

Conclusions:

  • Cardiovascular risk misperceptions are prevalent in primary care.
  • Interventions targeting risk perception may enhance cardiovascular prevention efforts.
  • Understanding predictors of misperception can guide personalized risk communication.