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Dataset Information

Prognostic values of modifiable risk factors for cardiovascular events in South African health promotion.


ABSTRACT:

Background

Cardiovascular diseases (CVDs) are increasing at an alarming rate among the South African population. This study aimed to determine the prognostic value of modifiable CVD risk factors for fatal and non-fatal events to inform cardiovascular health promotion practices in the South African public health system.

Methods

Data was collected from individuals participating in the South African leg of a multi-national prospective cohort study. Binary logistic regression was applied to estimate odds of total, non-fatal and fatal cardiovascular events.

Results

Binary logistic regression analyses identified age as a predictor of non-fatal and fatal CV events, with ORs of 1.87 to 3.21, respectively. Hypertension increased the odd of suffering a non-fatal CV event by alm

SUBMITTER: Kganakga JT 

PROVIDER: S-EPMC9365156 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature