Developing and Validating Risk Algorithm for Hypertension in South Africa: Results from a Nationally Representative Cohort (2008-2017).

ABSTRACT:

Introduction

There is compelling evidence of significant country-level disparities where African countries, particularly South Africa, have the highest hypertension rates in the world.

Aim

To develop and validate a simple risk scoring algorithm for hypertension in a large cohort (80,270) of South African men and women.

Methods

Multivariable logistic regression models were used to build our hypertension risk scoring algorithm and validated externally and internally using the standard statistical techniques. We also compared our risk scores with the results from the Framingham risk prediction model for hypertension.

Results

Six factors were identified as the significant correlates of hypertension: age, education, obesity, smoking, alcohol intake and exercise. A s

SUBMITTER: Wand H 

PROVIDER: S-EPMC9537209 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature