Frequency of Metabolic Syndrome According to Optimal Cut-Points for Body Mass Index in Saudi Population

Authors: Khalid S Aljabri*, Samia A Bokhari, Muneera A Alshareef, Patan M Khan and Bandari K Aljabri

DOI: 10.23880/doij-16000184

Volume 3, Issue 3

Abstract

Background and Objective: The prevalence of metabolic syndrome (MetS) are increasing worldwide. Body mass index (BMI) cut-off for MetS can vary. The objective of this study is to identify the optimal BMI cut-off that is associated with MetS.Methods: For the present study, we analyzed participants who are equal to or older than 18 years old. A total of 5498 were analyzed at the present study. Patients were recruited from the population of the primary health care department at King Fahad Armed Forces Hospital. Metabolic risk factors were defined using the 2006 International Diabetes Federation criteria. We collected data personal interview and electronic medical chart review. Physician and nurse interviewers measured the weight (kg) and height (cm) of the participants and BMI was calculated. Receiver operating characteristic curve analysis was used to obtain the optimal sensitivity and specificity using different BMI cut-off values to predict the presence of diabetes.Results: Of the 5498 participants analyzed, 2049 (37.3%) were male and 3449 (62.7%) were female with female to male ratio 1.7:1. Age was 42.7 ± 15.8 (minimum 18 years and maximum 105 years). MetS was present in 1967 cases (35.8%) where 673 cases (38.8%) were male and 1204 cases (61.2%) were female with female to male ratio 1.6:1, P=0.08. Males were significantly older than females in MetS patients (45.5±12.8 vs. 36.1±13.3 respectively, p

Keywords: Metabolic syndrome; Body Mass Index

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