Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach

dc.contributor.authorCois, Annibale
dc.contributor.authorEhrlich, Rodney
dc.date.accessioned2015-01-27T10:58:49Z
dc.date.available2015-01-27T10:58:49Z
dc.date.issued2014-05-01
dc.date.updated2015-01-15T17:58:58Z
dc.description.abstractAbstract Background Epidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent to which socioeconomic status is linked to blood pressure in the first wave of the National Income Dynamics Study — a South African longitudinal study of more than 15000 adults – and whether bio-behavioural risk factors mediate the association. Methods In a cross-sectional analysis, structural equation modelling was employed to estimate the effect of socioeconomic status on systolic and diastolic blood pressure and to assess the role of a set of bio-behavioural risk factors in explaining the observed relationships. Results After adjustment for age, race and antihypertensive treatment, higher education and income were independently associated with higher diastolic blood pressure in men. In women higher education predicted lower values of both diastolic and systolic blood pressure while higher income predicted lower systolic blood pressure. In both genders, body mass index was a strong mediator of an adverse indirect effect of socioeconomic status on blood pressure. Together with physical exercise, alcohol use, smoking and resting heart rate, body mass index therefore contributed substantially to mediation of the observed relationships in men. By contrast, in women unmeasured factors played a greater role. Conclusion In countries undergoing epidemiological transition, effects of socioeconomic status on blood pressure may vary by gender. In women, factors other than those listed above may have substantial role in mediating the association and merit investigation.en_ZA
dc.identifier.apacitationCois, A., & Ehrlich, R. (2014). Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach. <i>BMC Public Health</i>, http://hdl.handle.net/11427/12333en_ZA
dc.identifier.chicagocitationCois, Annibale, and Rodney Ehrlich "Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach." <i>BMC Public Health</i> (2014) http://hdl.handle.net/11427/12333en_ZA
dc.identifier.citationCois and Ehrlich: Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach. BMC Public Health. 2014 14(1):414en_ZA
dc.identifier.issn1471-2458en_ZA
dc.identifier.ris TY - Journal Article AU - Cois, Annibale AU - Ehrlich, Rodney AB - Abstract Background Epidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent to which socioeconomic status is linked to blood pressure in the first wave of the National Income Dynamics Study — a South African longitudinal study of more than 15000 adults – and whether bio-behavioural risk factors mediate the association. Methods In a cross-sectional analysis, structural equation modelling was employed to estimate the effect of socioeconomic status on systolic and diastolic blood pressure and to assess the role of a set of bio-behavioural risk factors in explaining the observed relationships. Results After adjustment for age, race and antihypertensive treatment, higher education and income were independently associated with higher diastolic blood pressure in men. In women higher education predicted lower values of both diastolic and systolic blood pressure while higher income predicted lower systolic blood pressure. In both genders, body mass index was a strong mediator of an adverse indirect effect of socioeconomic status on blood pressure. Together with physical exercise, alcohol use, smoking and resting heart rate, body mass index therefore contributed substantially to mediation of the observed relationships in men. By contrast, in women unmeasured factors played a greater role. Conclusion In countries undergoing epidemiological transition, effects of socioeconomic status on blood pressure may vary by gender. In women, factors other than those listed above may have substantial role in mediating the association and merit investigation. DA - 2014-05-01 DB - OpenUCT DO - 10.1186/1471-2458-14-414 DP - University of Cape Town J1 - BMC Public Health LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 SM - 1471-2458 T1 - Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach TI - Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach UR - http://hdl.handle.net/11427/12333 ER - en_ZA
dc.identifier.urihttp://dx.doi.org/10.1186/1471-2458-14-414
dc.identifier.urihttp://hdl.handle.net/11427/12333
dc.identifier.urihttp://hdl.handle.net/11427/12333
dc.identifier.urihttp://dx.doi.org/10.1186/1471-2458-14-414
dc.identifier.vancouvercitationCois A, Ehrlich R. Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach. BMC Public Health. 2014; http://hdl.handle.net/11427/12333.en_ZA
dc.languageengen_ZA
dc.language.rfc3066en
dc.publisherBioMed Centralen_ZA
dc.publisher.departmentDepartment of Public Health and Family Medicineen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)*
dc.rights.holderCois and Ehrlich; licensee BioMed Central Ltd.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_ZA
dc.sourceBMC Public Healthen_ZA
dc.source.urihttp://www.biomedcentral.com/1471-2458
dc.subject.otherSystolic blood pressureen_ZA
dc.subject.otherDiastolic blood pressureen_ZA
dc.subject.otherHypertensionen_ZA
dc.subject.otherStructural equation modellingen_ZA
dc.subject.otherSocioeconomic statusen_ZA
dc.titleAnalysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approachen_ZA
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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