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Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa

BACKGROUND AND OBJECTIVE: Unhealthy lifestyle behaviours are important risk factors of morbidity and mortality. This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans. METHODS: We conducted a national...

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Autores principales: Phaswana-Mafuya, Nancy, Peltzer, Karl, Chirinda, Witness, Musekiwa, Alfred, Kose, Zamakayise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776324/
https://www.ncbi.nlm.nih.gov/pubmed/24044582
http://dx.doi.org/10.3402/gha.v6i0.20680
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author Phaswana-Mafuya, Nancy
Peltzer, Karl
Chirinda, Witness
Musekiwa, Alfred
Kose, Zamakayise
author_facet Phaswana-Mafuya, Nancy
Peltzer, Karl
Chirinda, Witness
Musekiwa, Alfred
Kose, Zamakayise
author_sort Phaswana-Mafuya, Nancy
collection PubMed
description BACKGROUND AND OBJECTIVE: Unhealthy lifestyle behaviours are important risk factors of morbidity and mortality. This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans. METHODS: We conducted a national population-based cross-sectional survey with a sample of 3,840 individuals aged 50 years or above in South Africa in 2008. The outcome variable was the co-existence of multiple NCD risk factors (tobacco use, alcohol, physical inactivity, fruit and vegetable intake, overweight or obesity, and hypertension) in each individual. The exposure variables were sociodemographic characteristics, namely, age, gender, education, wealth status, population group, marital status, and residence. Multivariate linear regression was used to assess the association between sociodemographic variables and multiple NCD risk factors. RESULTS: The mean number of NCD risk factors among all participants was three (95% confidence interval: 2.81–3.10). Multivariate linear regression analysis revealed that being female, being in the age group of 60–69 years, and being from the Coloured and Black African race were associated with a higher number of NCD risk factors. Marital status, educational level, wealth, and residence were not significantly associated with the number of NCD risk factors experienced. CONCLUSIONS: The co-existence of multiple lifestyle NCD risk factors among the elderly is a public health concern. Comprehensive health-promotion interventions addressing the co-existence of multiple NCD risk factors tailored for specific sociodemographic groups are needed.
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spelling pubmed-37763242013-09-18 Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa Phaswana-Mafuya, Nancy Peltzer, Karl Chirinda, Witness Musekiwa, Alfred Kose, Zamakayise Glob Health Action Original Article BACKGROUND AND OBJECTIVE: Unhealthy lifestyle behaviours are important risk factors of morbidity and mortality. This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans. METHODS: We conducted a national population-based cross-sectional survey with a sample of 3,840 individuals aged 50 years or above in South Africa in 2008. The outcome variable was the co-existence of multiple NCD risk factors (tobacco use, alcohol, physical inactivity, fruit and vegetable intake, overweight or obesity, and hypertension) in each individual. The exposure variables were sociodemographic characteristics, namely, age, gender, education, wealth status, population group, marital status, and residence. Multivariate linear regression was used to assess the association between sociodemographic variables and multiple NCD risk factors. RESULTS: The mean number of NCD risk factors among all participants was three (95% confidence interval: 2.81–3.10). Multivariate linear regression analysis revealed that being female, being in the age group of 60–69 years, and being from the Coloured and Black African race were associated with a higher number of NCD risk factors. Marital status, educational level, wealth, and residence were not significantly associated with the number of NCD risk factors experienced. CONCLUSIONS: The co-existence of multiple lifestyle NCD risk factors among the elderly is a public health concern. Comprehensive health-promotion interventions addressing the co-existence of multiple NCD risk factors tailored for specific sociodemographic groups are needed. Co-Action Publishing 2013-09-16 /pmc/articles/PMC3776324/ /pubmed/24044582 http://dx.doi.org/10.3402/gha.v6i0.20680 Text en © 2013 Nancy Phaswana-Mafuya et al. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Phaswana-Mafuya, Nancy
Peltzer, Karl
Chirinda, Witness
Musekiwa, Alfred
Kose, Zamakayise
Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title_full Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title_fullStr Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title_full_unstemmed Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title_short Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa
title_sort sociodemographic predictors of multiple non-communicable disease risk factors among older adults in south africa
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776324/
https://www.ncbi.nlm.nih.gov/pubmed/24044582
http://dx.doi.org/10.3402/gha.v6i0.20680
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