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Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults

BACKGROUND: To determine the prevalence and sociodemographic correlates of multiple risk factors for cardiovascular disease (CVD) among Malaysian adults. METHODS: We analysed data on 1044 men and 1528 women, aged 24–64 years, participants in the Non Communicable Disease Surveillance 2005/2006, a nat...

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Autores principales: Ghazali, Sumarni Mohd, Seman, Zamtira, Cheong, Kee Chee, Hock, Lim Kuang, Manickam, Mala, Kuay, Lim Kuang, Yusoff, Ahmad Faudzi, Mustafa, Feisul Idzwan, Mustafa, Amal Nasir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319230/
https://www.ncbi.nlm.nih.gov/pubmed/25636327
http://dx.doi.org/10.1186/s12889-015-1432-z
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author Ghazali, Sumarni Mohd
Seman, Zamtira
Cheong, Kee Chee
Hock, Lim Kuang
Manickam, Mala
Kuay, Lim Kuang
Yusoff, Ahmad Faudzi
Mustafa, Feisul Idzwan
Mustafa, Amal Nasir
author_facet Ghazali, Sumarni Mohd
Seman, Zamtira
Cheong, Kee Chee
Hock, Lim Kuang
Manickam, Mala
Kuay, Lim Kuang
Yusoff, Ahmad Faudzi
Mustafa, Feisul Idzwan
Mustafa, Amal Nasir
author_sort Ghazali, Sumarni Mohd
collection PubMed
description BACKGROUND: To determine the prevalence and sociodemographic correlates of multiple risk factors for cardiovascular disease (CVD) among Malaysian adults. METHODS: We analysed data on 1044 men and 1528 women, aged 24–64 years, participants in the Non Communicable Disease Surveillance 2005/2006, a nationally representative, population-based, cross-sectional study. Prevalence of obesity, high blood pressure, dyslipidaemia, hyperglycemia, physical inactivity, smoking, risky drinking, low vegetable and fruit intake were determined and multivariable logistic regression was used to identify sociodemographic factors associated with having ≥3 of these cardiovascular disease risk factors. RESULTS: The response rate was 84.6% (2572/3040). Overall, 68.4% (95% CI: 63.2, 73.1) had at least three risk factors. Among men, older age and Indian ethnicity were independently associated with having ≥3 CVD risk factors; while among women, older age, low education, and housewives were more likely to have ≥3 CVD risk factors. CONCLUSION: The prevalence of cardiovascular risk factors clustering among Malaysian adults is high, raising concerns that cardiovascular disease incidence will rise steeply in the near future if no immediate preventive measures are taken. The current national health education and promotion programmes pertaining to modifiable risk factors can be further improved by taking into account the sociodemographic variation in CVD risk factors clustering.
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spelling pubmed-43192302015-02-07 Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults Ghazali, Sumarni Mohd Seman, Zamtira Cheong, Kee Chee Hock, Lim Kuang Manickam, Mala Kuay, Lim Kuang Yusoff, Ahmad Faudzi Mustafa, Feisul Idzwan Mustafa, Amal Nasir BMC Public Health Research Article BACKGROUND: To determine the prevalence and sociodemographic correlates of multiple risk factors for cardiovascular disease (CVD) among Malaysian adults. METHODS: We analysed data on 1044 men and 1528 women, aged 24–64 years, participants in the Non Communicable Disease Surveillance 2005/2006, a nationally representative, population-based, cross-sectional study. Prevalence of obesity, high blood pressure, dyslipidaemia, hyperglycemia, physical inactivity, smoking, risky drinking, low vegetable and fruit intake were determined and multivariable logistic regression was used to identify sociodemographic factors associated with having ≥3 of these cardiovascular disease risk factors. RESULTS: The response rate was 84.6% (2572/3040). Overall, 68.4% (95% CI: 63.2, 73.1) had at least three risk factors. Among men, older age and Indian ethnicity were independently associated with having ≥3 CVD risk factors; while among women, older age, low education, and housewives were more likely to have ≥3 CVD risk factors. CONCLUSION: The prevalence of cardiovascular risk factors clustering among Malaysian adults is high, raising concerns that cardiovascular disease incidence will rise steeply in the near future if no immediate preventive measures are taken. The current national health education and promotion programmes pertaining to modifiable risk factors can be further improved by taking into account the sociodemographic variation in CVD risk factors clustering. BioMed Central 2015-01-31 /pmc/articles/PMC4319230/ /pubmed/25636327 http://dx.doi.org/10.1186/s12889-015-1432-z Text en © Ghazali et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Article
Ghazali, Sumarni Mohd
Seman, Zamtira
Cheong, Kee Chee
Hock, Lim Kuang
Manickam, Mala
Kuay, Lim Kuang
Yusoff, Ahmad Faudzi
Mustafa, Feisul Idzwan
Mustafa, Amal Nasir
Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title_full Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title_fullStr Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title_full_unstemmed Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title_short Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults
title_sort sociodemographic factors associated with multiple cardiovascular risk factors among malaysian adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319230/
https://www.ncbi.nlm.nih.gov/pubmed/25636327
http://dx.doi.org/10.1186/s12889-015-1432-z
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