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[Self-reported hypertension: validation in a representative cross-sectional survey]
Maria Aurora Dropa Chrestani1, Iná da Silva dos Santos, Alícia M Matijasevich
1Universidade Federal de Pelotas, Rua Marechal Deodoro 1160, Pelotas, Brazil. machrestani@uol.com.br
Self-reported hypertension is a reliable indicator for population studies. This study found high accuracy in self-reports for hypertension prevalence, supporting its use in monitoring chronic non-communicable diseases.
Area of Science:
- Epidemiology
- Public Health
- Cardiovascular Disease Research
Background:
- Hypertension is a major risk factor for chronic non-communicable diseases.
- Accurate prevalence data is crucial for public health surveillance and intervention strategies.
- Validating self-reported data against clinical measures is essential for population health studies.
Purpose of the Study:
- To evaluate the accuracy of self-reported hypertension compared to measured blood pressure and drug use.
- To determine the sensitivity, specificity, and predictive values of self-reported hypertension.
- To assess the reliability of self-reporting for hypertension prevalence monitoring.
Main Methods:
- A population-based cross-sectional study was conducted in Pelotas, Southern Brazil, with 2,949 participants aged 20 years.
- Blood pressure was measured twice, with a gold standard defined by second visit measurements and/or anti-hypertensive drug use.
- Self-reported hypertension was assessed via a direct question about medical diagnosis of high blood pressure.
Main Results:
- Prevalence rates were 33.6% for self-reported and 29.5% for measured hypertension.
- Sensitivity was 84.3%, specificity 87.5%, positive predictive value 73.9%, and negative predictive value 93.0%.
- The findings indicate a high degree of agreement between self-reported and measured hypertension.
Conclusions:
- Self-reported hypertension demonstrates good validity as a method for monitoring disease prevalence.
- This method is reliable for assessing hypertension, a key risk factor for chronic non-communicable diseases.
- Self-reporting can be effectively utilized in large-scale epidemiological surveys and public health surveillance.
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