Multimorbidity patterns in South Africa: A latent class analysis

Simple item page
dc.contributor.authorRoomaney, Rifqah Abeeda
dc.contributor.authorvan Wyk, Brian
dc.contributor.authorCois, Annibale
dc.date.accessioned2023-04-14T11:33:49Z
dc.date.available2023-04-14T11:33:49Z
dc.date.issued2023
dc.description.abstractIntroduction: 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.en_US
dc.identifier.citationRoomaney, R.A., Van Wyk, B., Cois, A. and Pillay van-Wyk, V., 2023. Multimorbidity patterns in South Africa: A latent class analysis.en_US
dc.identifier.uri10.3389/fpubh.2022.1082587
dc.identifier.urihttp://hdl.handle.net/10566/8803
dc.publisherFrontiers in Public Healthen_US
dc.subjectmultimorbidityen_US
dc.subjectdisease patternsen_US
dc.subjectdisease clustersen_US
dc.subjectlatent class analysisen_US
dc.subjectprevalenceen_US
dc.subjectSouth Africaen_US
dc.titleMultimorbidity patterns in South Africa: A latent class analysisen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
roomaney_multimobility pattern in south africa_2023.pdf.pdf
Size:
420.25 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (School of Public Health)