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March 9, 2026Journal of Diabetes & Metabolic Disorders0 citations

Validity of Self-assessment cardiovascular disease risk assessment: Evidence from a population-based study

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EGElham GoodarziMSMasoud Solaymani-DodaranAMAbbas Motevalian

Key Result

Self-assessment of 10-year cardiovascular disease risk demonstrated good agreement with standardized measurements (ICC 0.79), with high sensitivity (78-89%) and specificity (76-96%).

Key Points

  • This research aims to determine the accuracy of self-assessment methods for estimating cardiovascular disease risk.
  • Population-based descriptive-analytic design
  • Sample of 475 individuals aged 30 and over, selected randomly
  • Data collected via self-assessment application and standardized measurements by trained personnel.
  • Self-measurements resulted in height and systolic blood pressure overestimation and weight, BMI, waist circumference, and diastolic blood pressure underestimation.
  • Self-assessment tools showed good agreement for CVD risk with an ICC of 0.79.
  • High sensitivity (78-89%) and specificity (76-96%) identified at higher risk thresholds.

Study Design

Type

Cross-Sectional (n=475)

Multicenter

No

Structured PICO

Does self-assessment of cardiovascular disease risk via an application provide valid and reliable estimates compared to standardized measurements in adults aged 30 years and older?

P
Population
475 individuals aged 30 years and older from a general population evaluated for the validity of self-assessed cardiovascular disease risk.
E
Exposure
Self-assessment of cardiovascular disease risk, anthropometric measures, and blood pressure via an application
C
Comparator
Standardized measurements performed by trained personnel
O
Outcome
Agreement (ICC), sensitivity, and specificity of self-assessed 10-year cardiovascular disease risk compared to standardized measurements

Self-assessment of 10-year cardiovascular disease risk via an application shows strong validity and reliability, offering a practical method for primary prevention screening.

Main Result

Effect estimate: ICC 0.79

Abstract

BACKGROUND: Cardiovascular diseases (CVD) are a leading cause of death and disability worldwide. Self-risk assessment of these diseases can be a cornerstone of primary prevention programs. This study was designed to investigate the validity of CVD risk assessment based on self-measured data. METHODS: The present study is a population-based descriptive-analytic study in people 30 years and over. A sample of 475 individuals was randomly selected from a general population on the coverage of a comprehensive health center. Data were collected first through an application (self-assessment) and then through standardized measurements by trained personnel. Data analysis was based on paired t-test, ICC, and sensitivity and specificity indices. RESULT: The results of the study showed an overestimation of height and systolic blood pressure and an underestimation of weight, BMI, waist circumference and diastolic blood pressure. However, the findings showed that Self-measurement anthropometric measures had excellent reliability (ICC > 0.90). Self-assessment tools demonstrated good agreement for CVD risk (ICC = 0.79), with high sensitivity (78-89%) and increasing specificity (76-96%) at higher risk thresholds. CONCLUSION: Self-assessment evaluations of 10-year cardiovascular disease risk demonstrate strong validity and reliability. As a result, utilizing Self-assessment data can serve as a practical and suitable method for the early detection of at-risk individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40200-025-01830-2.

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Cite This Study

Goodarzi et al. (2026) conducted a cross-sectional in Cardiovascular disease risk (n=475). Self-assessment of cardiovascular disease risk vs. Standardized measurements by trained personnel was evaluated on Agreement for CVD risk (ICC 0.79). Self-assessment of 10-year cardiovascular disease risk demonstrated good agreement with standardized measurements (ICC 0.79), with high sensitivity (78-89%) and specificity (76-96%).

synapsesocial.com/papers/69af235f3eac3accde8a1719https://doi.org/10.1007/s40200-025-01830-2
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