Author/Authors :
Borhanuddin, Boekhtiar UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Mohd Nawi, Azmawati Department of Community Health - Faculty of Medicine - Universiti Kebangsaan Malaysia - Malaysia , Azhar Shah, Shamsul Department of Community Health - Faculty of Medicine - Universiti Kebangsaan Malaysia - Malaysia , Abdullah, Noraidatulakma UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Syed Zakaria, Syed Zulkifli Department of Paediatrics - Faculty of Medicine - Universiti Kebangsaan Malaysia - Jalan Yaacob Latif - Cheras - 56000 Kuala Lumpur - Malaysia , Kamaruddin, Mohd Arman UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Velu, Chandralekah S UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Ismail, Norliza UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Abdullah, Mohd Shaharom UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Ahmad Kamat, Salywana UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Awang, Afifah UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Akma Hamid, Mariatul UKM Medical Molecular Biology Institute (UMBI) - Malaysia , Jamal, Rahman UKM Medical Molecular Biology Institute (UMBI) - Malaysia
Abstract :
Cardiovascular disease (CVD) leads to high morbidity and mortality rate worldwide. Therefore, it is important to determine the risk of CVD across the sociodemographic factors to strategize preventive measures. The current study consisted of 53,122 adults between the ages of 35 and 65 years from The Malaysian Cohort project during recruitment phase from year 2006 to year 2012.
Sociodemographic profle and physical activity level were assessed via self-reported questionnaire, whereas relevant CVD-related biomarkers and biophysical variables were measured to determine the Framingham Risk Score (FRS). Te main outcome was the
10-year risk of CVD via FRS calculated based on lipid profle and body mass index (BMI) associated formulae. Te BMI-based
formula yielded a higher estimation of 10-year CVD risk than the lipid profle-based formula in the study for both males (median
= 13.2% and 12.7%, respectively) and females (median = 4.3% and 4.2%, respectively). The subgroup with the highest risk for 10-
year CVD events (based on both FRS formulae) was the Malay males who have lower education level and low physical activity
level. Future strategies for the reduction of CVD risk should focus on screening via BMI-based FRS in this at-risk subpopulation to increase the cost-efectiveness of the prevention initiatives.
Keywords :
Cardiovascular disease (CVD) leads , Lipid Profile , BMI , Framingham Risk Scores , Multiple Sociodemographic Characteristics , Malaysian Cohort Project