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The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?

BACKGROUND: Alongside the global population ageing phenomenon, there has been a rise in the number of individuals who suffer from multiple chronic conditions. Taking the case of South Africa, this study aims, first, to investigate the association between multi-morbidity and disability among older ad...

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Autores principales: Waterhouse, Philippa, van der Wielen, Nele, Banda, Pamela Chirwa, Channon, Andrew Amos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385014/
https://www.ncbi.nlm.nih.gov/pubmed/28388911
http://dx.doi.org/10.1186/s12939-017-0537-7
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author Waterhouse, Philippa
van der Wielen, Nele
Banda, Pamela Chirwa
Channon, Andrew Amos
author_facet Waterhouse, Philippa
van der Wielen, Nele
Banda, Pamela Chirwa
Channon, Andrew Amos
author_sort Waterhouse, Philippa
collection PubMed
description BACKGROUND: Alongside the global population ageing phenomenon, there has been a rise in the number of individuals who suffer from multiple chronic conditions. Taking the case of South Africa, this study aims, first, to investigate the association between multi-morbidity and disability among older adults; and second, to examine whether hypertension (both diagnosed and undiagnosed) mediates this relationship. Lastly, we consider whether the impact of the multi-morbidity on disability varies by socio-demographic characteristics. METHODS: Data were drawn from Wave 1 (2007–08) of the South African Study on Global Ageing and Adult Health. Disability was measured using the 12-item World Health Organisation Disability Assessment Schedule (WHODAS) 2.0. Scores were transformed into a binary variable whereby those over the 90(th) percentile were classified as having a severe disability. The measure of multi-morbidity was based on a simple count of self-reported diagnosis of selected chronic conditions. Self-reports of diagnosed hypertension, in addition to blood pressure measurements at the time of interview, were used to create a three category hypertension variable: no hypertension (diagnosed or measured), diagnosed hypertension, hypertension not diagnosed but hypertensive measured blood pressure. Interactions between the number of chronic diseases with sex, ethnicity and wealth were tested. Logistic regression was used to analyze the relationships. RESULTS: 25.4% of the final sample had one and 13.2% two or more chronic diseases. Nearly half of the respondents had a hypertensive blood pressure when measured during the interview, but had not been previously diagnosed. A further third self-reported they had been told by a health professional they had hypertension. The logistic regression showed in comparison to those with no chronic conditions, those with one or two or more had significantly higher odds of severe disability. Hypertension was insignificant and did not change the direction or size of the effect of the multi-morbidity measure substantially. The interactions between number of chronic conditions with wealth were significant at the 5% level. CONCLUSIONS: The diagnosis of multiple chronic conditions, can be used to identify those most at risk of severe disability. Limited resources should be prioritized for such individuals in terms of preventative, rehabilitative and palliative care.
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spelling pubmed-53850142017-04-12 The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter? Waterhouse, Philippa van der Wielen, Nele Banda, Pamela Chirwa Channon, Andrew Amos Int J Equity Health Research BACKGROUND: Alongside the global population ageing phenomenon, there has been a rise in the number of individuals who suffer from multiple chronic conditions. Taking the case of South Africa, this study aims, first, to investigate the association between multi-morbidity and disability among older adults; and second, to examine whether hypertension (both diagnosed and undiagnosed) mediates this relationship. Lastly, we consider whether the impact of the multi-morbidity on disability varies by socio-demographic characteristics. METHODS: Data were drawn from Wave 1 (2007–08) of the South African Study on Global Ageing and Adult Health. Disability was measured using the 12-item World Health Organisation Disability Assessment Schedule (WHODAS) 2.0. Scores were transformed into a binary variable whereby those over the 90(th) percentile were classified as having a severe disability. The measure of multi-morbidity was based on a simple count of self-reported diagnosis of selected chronic conditions. Self-reports of diagnosed hypertension, in addition to blood pressure measurements at the time of interview, were used to create a three category hypertension variable: no hypertension (diagnosed or measured), diagnosed hypertension, hypertension not diagnosed but hypertensive measured blood pressure. Interactions between the number of chronic diseases with sex, ethnicity and wealth were tested. Logistic regression was used to analyze the relationships. RESULTS: 25.4% of the final sample had one and 13.2% two or more chronic diseases. Nearly half of the respondents had a hypertensive blood pressure when measured during the interview, but had not been previously diagnosed. A further third self-reported they had been told by a health professional they had hypertension. The logistic regression showed in comparison to those with no chronic conditions, those with one or two or more had significantly higher odds of severe disability. Hypertension was insignificant and did not change the direction or size of the effect of the multi-morbidity measure substantially. The interactions between number of chronic conditions with wealth were significant at the 5% level. CONCLUSIONS: The diagnosis of multiple chronic conditions, can be used to identify those most at risk of severe disability. Limited resources should be prioritized for such individuals in terms of preventative, rehabilitative and palliative care. BioMed Central 2017-04-08 /pmc/articles/PMC5385014/ /pubmed/28388911 http://dx.doi.org/10.1186/s12939-017-0537-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Waterhouse, Philippa
van der Wielen, Nele
Banda, Pamela Chirwa
Channon, Andrew Amos
The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title_full The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title_fullStr The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title_full_unstemmed The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title_short The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter?
title_sort impact of multi-morbidity on disability among older adults in south africa: do hypertension and socio-demographic characteristics matter?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385014/
https://www.ncbi.nlm.nih.gov/pubmed/28388911
http://dx.doi.org/10.1186/s12939-017-0537-7
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