TY - JOUR ID - 43425 TI - Prevalence of Metabolic Syndrome among Hospital Staff of Khalili Hospital, Shiraz, Iran JO - International Journal of Nutrition Sciences JA - IJNS LA - en SN - 2538-1873 AU - Abdollahzadeh, Seyedeh Maryam AU - Mosallanejad, Abdolhamid AU - Babajafari, Siyavash AU - Ranjbar-Zahedani, Maryam AD - Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran AD - Department of Nutrition, Khalili Hospital, Shiraz University of Medical Sciences, Shiraz, Iran Y1 - 2017 PY - 2017 VL - 2 IS - 4 SP - 196 EP - 202 KW - prevalence KW - Metabolic Syndrome KW - hospital KW - Staff KW - Iran DO - N2 - Background: Metabolic syndrome (MetS) is considered to be a cluster of metabolic risk factors. The purpose of the current study was to determine the prevalence of MetS using 4 different definitions, including the modified Adult Treatment Panel III (ATP-III) for Asians, the American Association of Clinical Endocrinologists (AACE), the International Diabetes Federation (IDF), and Harmonized criteria, its 5 interrelated components, and their association with socio-demographic and anthropometric factors among Khalili Hospital’s personnel, Shiraz, Iran.Methods: Eighty six females and 73 males from Khalili Hospital staff with the mean age of 37.5±8.5 years and 39.2±8.2 years, respectively were recruited and completed the course of the study. Socio-demographic, anthropometric, and biochemical parameters were collected. Data were analyzed using SPSS version 19.Results: The prevalence of MetS in the study population was 27.7%,7.5%, 24.5%, and 27.7% based on modified ATP III for Asians, AACE, IDF, and Harmonized definitions, respectively. The mean value of body mass index (BMI) and waist to hip ratio (W/H) was 25.3±4.0 kg/m2 and 0.9±0.1, respectively. The prevalence of MetS was only significantly higher in males than in females according to IDF criteria (30.1% vs. 19.8%; p=0.027). Neither educational status nor familial history of chronic diseases had a significant association with the prevalence of MetS (p>0.05).Conclusion: Applying definitions with ethnicity-specific abdominal obesity cut-points seems to be better for diagnosis of the syndrome. UR - https://ijns.sums.ac.ir/article_43425.html L1 - https://ijns.sums.ac.ir/article_43425_e2a74b17a2edbfa9aa6aef33ca8c1236.pdf ER -