Esna Ashari F, Pirdehghan A, Safarzadeh Khoshabi A, Gharakhani M, Jiryaee N. Prevalence of Metabolic Syndrome in Patients Admitted to the Cardiology Ward of Farshchian Hospital in Hamadan City, Iran. Avicenna J Clin Med 2018; 25 (3) :177-184
URL:
http://sjh.umsha.ac.ir/article-1-1777-en.html
1- Assistant Professor, Department of Social Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan,Iran , n_jiryaee@yahoo.com
Abstract: (4275 Views)
Background and Objective: The prevalence of metabolic syndrome is on a growing trend. Weight and age are among the most important factors affecting this condition. Evidence is indicative of a relationship between coronary heart diseases and metabolic syndrome. The present study was conducted to determine the prevalence of metabolic syndrome among patients admitted to the Cardiology Department of Farshchian Hospital in Hamadan city, Iran.
Materials and Methods: The present descriptive cross-sectional study was conducted on 390 patients admitted to the Cardiology Ward of Farshchian Hospital in 2015. The diagnosis of metabolic syndrome was accomplished according to the Adult Treatment Panel III criteria. The data were analyzed in SPSS software (version 16) using descriptive statistics, Chi-square test, and Student’s t-test.
Results: Metabolic syndrome was observed in 53.3% of the patients. This condition was mostly associated with ischemic heart disease (62.5%) and hypertension (50%). Abdominal obesity, high systolic and diastolic blood pressures, high fasting blood sugar, low high-density lipoprotein (HDL), and high triglyceride were significantly more frequent in patients with metabolic syndrome than in those without such condition. The results revealed no significant relationship between body mass index (BMI) and metabolic syndrome.
Conclusion: Metabolic syndrome is highly prevalent among the patients with ischemic heart disease. Abdominal obesity, low HDL, high triglyceride, and elevated systolic blood pressure are among the proper predictive factors of metabolic syndrome. However, BMI cannot properly predict this condition.