Multimorbidity patterns in South Africa

A latent class analysis

Bibliographic Data

ID22067780
AuthorsRifqah Abeeda Roomaney (0000-0003-3267-8484, South African Medical Research Council, corresponding author), Brian Van Wyk (0000-0003-1032-1847, University of the Western Cape), Annibale Cois (0000-0002-7014-6510, South African Medical Research Council), Victoria Pillay van-Wyk
Year2023
Volume10
Pages1082587-1082587
Publication date2023-01-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1082587
PMID36711391
OpenAlexW4315649856
LanguageEN
Citations received5
References cited27

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: = 2 368). Four disease classes were identified: (1) HIV, Hypertension and Anemia (comprising 39.4% of the multimorbid population), (2) Anemia and Hypertension (23.7%), (3) Cardiovascular-related (19.9%) and (4) Diabetes and Hypertension (17.0%). Age, sex, and lifestyle risk factors were associated with class membership. In terms of age, with older adults were less likely to belong to the first class (HIV, Hypertension and Anemia). Males were more likely to belong to Class 2 (Anemia and Hypertension) and Class 4 (Diabetes and Hypertension). In terms of alcohol consumption, those that consumed alcohol were less likely to belong to Class 4 (Diabetes and Hypertension). Current smokers were more likely to belong to Class 3 (Cardiovascular-related). People with a higher body mass index tended to belong to Class 3 (Cardiovascular-related) or the Class 4 (Diabetes and Hypertension). Conclusion: This study affirmed that integrated care is urgently needed, evidenced by the largest disease class being an overlap of chronic infectious diseases and non-communicable diseases. This study also highlighted the need for hypertension to be addressed. Tackling the risk factors associated with hypertension could avert an epidemic of multimorbidity

Anemia · Body mass index · Diabetes mellitus · Disease · Environmental health · Latent class model · Population · Chronic Disease Management Strategies · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · HIV-related health complications and treatments · Medicine · Endocrinology · Gerontology · Internal Medicine

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