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

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 Afric...

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Detalles Bibliográficos
Autores principales: Chidumwa, Glory, Maposa, Innocent, Corso, Barbara, Minicuci, Nadia, Kowal, Paul, Micklesfield, Lisa K, Ware, Lisa Jayne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849898/
https://www.ncbi.nlm.nih.gov/pubmed/33514578
http://dx.doi.org/10.1136/bmjopen-2020-041604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849898/
https://www.ncbi.nlm.nih.gov/pubmed/33514578
http://dx.doi.org/10.1136/bmjopen-2020-041604

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