Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults

BMC Public Health

Amal Nasir Mustafa¹  Feisul Idzwan Mustafa³  Ahmad Faudzi Yusoff¹  Lim Kuang Kuay²  Mala Manickam²  Lim Kuang Hock²  Kee Chee Cheong¹  Zamtira Seman¹  Sumarni Mohd Ghazali¹ 

[1] Institute for Medical Research, Kuala Lumpur, Malaysia;Institute for Public Health, Kuala Lumpur, Malaysia;Disease Control Division, Ministry of Health, Kuala Lumpur, Malaysia

关键词: Lifestyle;    Sociodemographic correlates;    Cardiovascular disease;    Prevalence;    Adult;   

Others  :  1121573
DOI  :  10.1186/s12889-015-1432-z

 received in 2014-03-19, accepted in 2015-01-15,  发布年份 2015

【 摘 要 】

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.

【 授权许可】

   
2015 Ghazali et al.; licensee BioMed Central.

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