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Comparing self-reported and measured high blood pressure and high cholesterol status using data from a large
Anne Taylor1, Eleonora Dal Grande, Tiffany Gill
1Population Research and Outcomes Studies Unit, South Australia Health, Adelaide, South Australia. anne.taylor@health.sa.gov.au
Australian and New Zealand Journal of Public Health
|July 24, 2010
Summary
Self-reported high blood pressure (HBP) and high cholesterol (HC) are consistent over time but differ significantly from clinical measurements. This highlights limitations in population health monitoring.
Area of Science:
- Biomedical Cohort Studies
- Public Health Surveillance
- Epidemiology
Background:
- Accurate measurement of high blood pressure (HBP) and high cholesterol (HC) is crucial for population health.
- Self-reported data is often used for large-scale health surveillance due to its cost-effectiveness.
- Understanding the concordance between self-reported and clinical data is essential for reliable health monitoring.
Purpose of the Study:
- To evaluate the agreement between self-reported and clinically measured high blood pressure (HBP) and high cholesterol (HC) in a general population sample.
- To assess the reliability of self-reported HBP and HC data over time using a chronic disease surveillance system.
Main Methods:
- A random population sample (n=1537) of adults in Adelaide underwent telephone-based interviews for self-reported HBP and HC status.
- Clinical blood pressure measurements and fasting blood tests for cholesterol levels were obtained.
- Data from a chronic disease surveillance system was used to assess the consistency of self-reported measures.
Main Results:
- Self-reported HBP and HC demonstrated high specificity (>98%) but low sensitivity (HC: 27.8%, HBP: 49.0%).
- Agreement between self-report and clinical measures was moderate for HBP (kappa=0.55) and low for HC (kappa=0.30).
- Younger demographics exhibited lower sensitivity rates for self-reported conditions.
Conclusions:
- Significant discrepancies exist between self-reported and clinical measures of HBP and HC.
- While self-reported data shows temporal consistency, its accuracy is limited, particularly for HC.
- Awareness of these limitations is vital for interpreting population health monitoring data.
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