Combining self-reported and objectively measured survey data to improve hypertension prevalence estimates: Portuguese experience.

Irina KislayaAndreia LeiteJulian PerelmanAusenda MachadoAna Rita TorresHanna TolonenBaltazar Nunes

Published in: Archives of public health = Archives belges de sante publique (2021)

Our results highlight the importance of misclassification bias analysis in self-reported hypertension. Multiple imputation is a feasible approach to adjust for misclassification bias in prevalence estimates and exposure-outcomes associations in survey data.

Keyphrases

blood pressure
risk factors
electronic health record
cross sectional
big data
data analysis
skeletal muscle
metabolic syndrome
insulin resistance