Multimorbidity patterns in South Africa: A latent class analysis.

ABSTRACT:

Introduction

South Africa has the largest burden of HIV worldwide and has a growing burden of non-communicable diseases; the combination of which may lead to diseases clustering in ways that are not seen in other regions. This study sought to identify common disease classes and sociodemographic and lifestyle factors associated with each disease class.

Methods

Data were analyzed from the South African Demographic and Health Survey 2016. A latent class analysis (LCA) was conducted using nine disease conditions. Sociodemographic and behavioral factors associated with each disease cluster were explored. All analysis was conducted in Stata 15 and the LCA Stata plugin was used to conduct the latent class and regression analysis.

Results

Multimorbid participants were include

SUBMITTER: Roomaney RA 

PROVIDER: S-EPMC9875075 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature