Identifying co-occurrence and clustering of chronic diseases using latent class analysis: cross-sectional findings from SAGE South Africa Wave 2.

ABSTRACT:

Objectives

To classify South African adults with chronic health conditions for multimorbidity (MM) risk, and to determine sociodemographic, anthropometric and behavioural factors associated with identified patterns of MM, using data from the WHO's Study on global AGEing and adult health South Africa Wave 2.

Design

Nationally representative (for ≥50-year-old adults) cross-sectional study.

Setting

Adults in South Africa between 2014 and 2015.

Participants

1967 individuals (men: 623 and women: 1344) aged ≥45 years for whom data on all seven health conditions and socioeconomic, demographic, behavioural, and anthropological information were available.

Measures

MM latent classes.

Results

The prevalence of MM (coexistence of two or more non-communicable

SUBMITTER: Chidumwa G 

PROVIDER: S-EPMC7849898 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature