Badri, S., Arafsha, L., Bin Hassan, K., Shawani, M., Alasmari, A., Rofidi, K., Alnomari, L., Tammar, A., Calacattawi, A., Almosfer, W., Baqasi, A. (2017). Prevalence of Metabolic Syndrome and Its Related Factors among Adults. The Egyptian Journal of Hospital Medicine, 68(3), 1395-1399. doi: 10.12816/0039680
Sultan Mohammed Badri; Lujain Hamza Arafsha; Khaled Abdullah Bin Hassan; Mishary Ali Shawani; Ahmed Ali Alasmari; Khalid Ali Rofidi; Lojein Faisal Alnomari; Aseel Sameer Tammar; Abdullah Waheed Calacattawi; Waleed Abdulaziz Almosfer; Abdulrahman Mohammedsaeed Baqasi. "Prevalence of Metabolic Syndrome and Its Related Factors among Adults". The Egyptian Journal of Hospital Medicine, 68, 3, 2017, 1395-1399. doi: 10.12816/0039680
Badri, S., Arafsha, L., Bin Hassan, K., Shawani, M., Alasmari, A., Rofidi, K., Alnomari, L., Tammar, A., Calacattawi, A., Almosfer, W., Baqasi, A. (2017). 'Prevalence of Metabolic Syndrome and Its Related Factors among Adults', The Egyptian Journal of Hospital Medicine, 68(3), pp. 1395-1399. doi: 10.12816/0039680
Badri, S., Arafsha, L., Bin Hassan, K., Shawani, M., Alasmari, A., Rofidi, K., Alnomari, L., Tammar, A., Calacattawi, A., Almosfer, W., Baqasi, A. Prevalence of Metabolic Syndrome and Its Related Factors among Adults. The Egyptian Journal of Hospital Medicine, 2017; 68(3): 1395-1399. doi: 10.12816/0039680
Prevalence of Metabolic Syndrome and Its Related Factors among Adults
Background: This study was designed to estimate the prevalence of metabolic syndrome and its determinants, as well as baseline information about the related factors among the adult population. Method: A cross sectional study of 252 participants has been conducted in February 2017 at King Abdulaziz Hospital and Oncology Center. A structured questionnaire was administered, collecting information on personal medical history as well as socio-demographic and behavioral characteristics. Anthropometrics, blood pressure, and venous blood samples were obtained. Metabolic syndrome was defined according to the International Diabetes Federation (IDF) criteria. Results: The prevalence of metabolic syndrome was 32% according to the IDF. In addition to WC is the best predictor for metabolic syndrome in the Saudi population. Conclusion: This study showed that Metabolic Syndrome is highly prevalent in Jeddah, Saudi Arabia. Also there is a high prevalence of hypertension, obesity and diabetes. Therefore, to reduce the risk of cardiovascular events, screening for and early detection of risk factors for Metabolic Syndrome are suggested.