Multimorbidity patterns in South Africa: A latent class analysis
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers in Public Health
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 fromthe South AfricanDemographic andHealth
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 included (n = 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 a rmed 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.
Description
Keywords
multimorbidity, disease patterns, disease clusters, latent class analysis, prevalence, South Africa
Citation
Roomaney, R.A., Van Wyk, B., Cois, A. and Pillay van-Wyk, V., 2023. Multimorbidity patterns in South Africa: A latent class analysis.