The social determinants of multimorbidity in South Africa

dc.contributor.authorAlaba, Olufunke
dc.contributor.authorChola, Lumbwe
dc.date.accessioned2015-07-30T04:01:17Z
dc.date.available2015-07-30T04:01:17Z
dc.date.issued2013-08-20
dc.date.updated2015-01-15T17:55:12Z
dc.description.abstractAbstract Introduction Multimorbidity is a growing concern worldwide, with approximately 1 in 4 adults affected. Most of the evidence on multimorbidity, its prevalence and effects, comes from high income countries. Not much is known about multimorbidity in low income countries, particularly in sub-Saharan Africa. The aim of this study was to determine the prevalence of multimorbidity and examine its association with various social determinants of health in South Africa. Method The data used in this study are taken from the South Africa National Income Dynamic Survey (SA-NIDS) of 2008. Multimorbidity was defined as the coexistence of two or more chronic diseases in an individual. Multinomial logistic regression models were constructed to analyse the relationship between multimorbidity and several indicators including socioeconomic status, area of residence and obesity. Results The prevalence of multimorbidity in South Africa was 4% in the adult population. Over 70% of adults with multimorbidity were females. Factors associated with multimorbidity were social assistance (Odds ratio (OR) 2.35; Confidence Interval (CI) 1.59-3.49), residence (0.65; 0.46-0.93), smoking (0.61; 0.38-0.96); obesity (2.33; 1.60-3.39), depression (1.07; 1.02-1.11) and health facility visits (5.14; 3.75-7.05). Additionally, income was strongly positively associated with multimorbidity. The findings are similar to observations made in studies conducted in developed countries. Conclusion The findings point to a potential difference in the factors associated with single chronic disease and multimorbidity. Income was consistently significantly associated with multimorbidity, but not single chronic diseases. This should be investigated further in future research on the factors affecting multimorbidity.
dc.identifier.apacitationAlaba, O., & Chola, L. (2013). The social determinants of multimorbidity in South Africa. <i>International Journal for Equity in Health</i>, http://hdl.handle.net/11427/13613en_ZA
dc.identifier.chicagocitationAlaba, Olufunke, and Lumbwe Chola "The social determinants of multimorbidity in South Africa." <i>International Journal for Equity in Health</i> (2013) http://hdl.handle.net/11427/13613en_ZA
dc.identifier.citationAlaba, O., & Chola, L. (2013). The social determinants of multimorbidity in South Africa. Int J Equity Health, 12, 63.
dc.identifier.ris TY - Journal Article AU - Alaba, Olufunke AU - Chola, Lumbwe AB - Abstract Introduction Multimorbidity is a growing concern worldwide, with approximately 1 in 4 adults affected. Most of the evidence on multimorbidity, its prevalence and effects, comes from high income countries. Not much is known about multimorbidity in low income countries, particularly in sub-Saharan Africa. The aim of this study was to determine the prevalence of multimorbidity and examine its association with various social determinants of health in South Africa. Method The data used in this study are taken from the South Africa National Income Dynamic Survey (SA-NIDS) of 2008. Multimorbidity was defined as the coexistence of two or more chronic diseases in an individual. Multinomial logistic regression models were constructed to analyse the relationship between multimorbidity and several indicators including socioeconomic status, area of residence and obesity. Results The prevalence of multimorbidity in South Africa was 4% in the adult population. Over 70% of adults with multimorbidity were females. Factors associated with multimorbidity were social assistance (Odds ratio (OR) 2.35; Confidence Interval (CI) 1.59-3.49), residence (0.65; 0.46-0.93), smoking (0.61; 0.38-0.96); obesity (2.33; 1.60-3.39), depression (1.07; 1.02-1.11) and health facility visits (5.14; 3.75-7.05). Additionally, income was strongly positively associated with multimorbidity. The findings are similar to observations made in studies conducted in developed countries. Conclusion The findings point to a potential difference in the factors associated with single chronic disease and multimorbidity. Income was consistently significantly associated with multimorbidity, but not single chronic diseases. This should be investigated further in future research on the factors affecting multimorbidity. DA - 2013-08-20 DB - OpenUCT DO - 10.1186/1475-9276-12-63 DP - University of Cape Town J1 - International Journal for Equity in Health LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - The social determinants of multimorbidity in South Africa TI - The social determinants of multimorbidity in South Africa UR - http://hdl.handle.net/11427/13613 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/13613
dc.identifier.urihttp://dx.doi.org/10.1186/1475-9276-12-63
dc.identifier.vancouvercitationAlaba O, Chola L. The social determinants of multimorbidity in South Africa. International Journal for Equity in Health. 2013; http://hdl.handle.net/11427/13613.en_ZA
dc.language.rfc3066en
dc.publisher.departmentHealth Economics Uniten_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License*
dc.rights.holderAlaba and Chola; licensee BioMed Central Ltd.
dc.rights.urihttp://creativecommons.org/licenses/by/2.0*
dc.sourceInternational Journal for Equity in Healthen_ZA
dc.source.urihttp://www.equityhealthj.com
dc.subject.otherMultimorbidity and Equity in Healthen_ZA
dc.titleThe social determinants of multimorbidity in South Africa
dc.typeJournal Articleen_ZA
uct.type.filetype
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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