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Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Public Health and Family Medicine
2015
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| _version_ | 1867613787744370688 |
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| access_status_str | Open Access |
| author | Cois, Annibale |
| author2 | Ehrlich, Rodney |
| author_browse | Cois, Annibale Ehrlich, Rodney |
| author_facet | Ehrlich, Rodney Cois, Annibale |
| author_sort | Cois, Annibale |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/12350 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:41:42.338Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Public Health and Family Medicine |
| publisherStr | Department of Public Health and Family Medicine |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/12350 Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach Cois, Annibale Ehrlich, Rodney Public Health Includes bibliographical references. Epidemiological research has long since observed that the prevalence of hypertension varies across populations' socioeconomic strata. Higher socioeconomic status (SES) has been consistently associated with lower levels of blood pressure in most studies from Europe and North America, while research in low- and middle-income countries at an earlier stage of the epidemiological transition revealed mixed patterns. The causal mechanisms underlying these varying relationships are largely unknown. Only in recent years the pathways through which SES impacts the cardiovascular system have been explored in large-scale studies, with results suggesting that body mass index, heart rate, and to a lesser extent physical exercise, alcohol use and smoking, may play a role in mediating these associations. However, these results refer to high-income countries, while similar research in low- and middle-income countries, and sub-Saharan Africa in particular, is lacking. In 2008, the National Income Dynamics Study (NIDS) collected a broad range of information on a representative sample of the population of South Africa, a medium-income country undergoing rapid epidemiological transition. Among other topics, information was gathered on blood pressure, biologic and behavioural risk factors, education, income and other indicators of socioeconomic position. 2015-02-03T18:33:25Z 2015-02-03T18:33:25Z 2012 Master Thesis Masters MPH http://hdl.handle.net/11427/12350 eng application/pdf Department of Public Health and Family Medicine Faculty of Health Sciences University of Cape Town |
| spellingShingle | Public Health Cois, Annibale Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| thesis_degree_str | Master's |
| title | Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| title_full | Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| title_fullStr | Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| title_full_unstemmed | Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| title_short | Analysing the socioeconomic determinants of hypertension in South Africa: A structural equation modelling approach |
| title_sort | analysing the socioeconomic determinants of hypertension in south africa a structural equation modelling approach |
| topic | Public Health |
| url | http://hdl.handle.net/11427/12350 |
| work_keys_str_mv | AT coisannibale analysingthesocioeconomicdeterminantsofhypertensioninsouthafricaastructuralequationmodellingapproach |