10-Year Cardiovascular Disease Risk Estimation Based on Lipid Profile-Based and BMI-Based Framingham Risk Scores across Multiple Sociodemographic Characteristics: The Malaysian Cohort Project. (17th July 2018)

• Record Type: Journal Article
• Authors: Borhanuddin, Boekhtiar; Mohd Nawi, Azmawati; Shah, Shamsul Azhar; Abdullah, Noraidatulakma; Syed Zakaria, Syed Zulkifli; Kamaruddin, Mohd Arman; Velu, Chandralekah S.; Ismail, Norliza; Abdullah, Mohd Shaharom; Ahmad Kamat, Salywana; Awang, Afifah; Hamid, Mariatul Akma; Jamal, Rahman
• Other Names: Tamargo Juan Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2018(2018)
• Publication Date: 2018-07-17
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2018/2979206
• Languages: English
• ISSNs: 2356-6140

Abstract

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 profile 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). The main outcome was the 10-year risk of CVD via FRS calculated based on lipid profile and body mass index (BMI) associated formulae. The BMI-based formula yielded a higher estimation of 10-year CVD risk than the lipid profile-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-effectiveness of the prevention initiatives.