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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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Опубликовано в: :BMJ Open
Главные авторы: Chidumwa, Glory, Maposa, Innocent, Corso, Barbara, Minicuci, Nadia, Kowal, Paul, Micklesfield, Lisa K, Ware, Lisa Jayne
Формат: Artigo
Язык:Inglês
Опубликовано: BMJ Publishing Group 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7849898/
https://ncbi.nlm.nih.gov/pubmed/33514578
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2020-041604
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