Prevalence Of Metabolic Syndrome In Obese Women: Relationship Between Anthropometric Measurements And Metabolic Parameters, Exercise Prescriptions
Aim: This study aimed to investigate the prevalence of metabolic syndrome and the correlation between the altered anthropometric measurements and biochemical variables in outpatient women who applied to the Sports Physiology Clinic to obtain exercise prescriptions.
Methods: The anthropometric and biochemical parameters were obtained from 335 adult female outpatients (18-65 years old) of the clinic. Their body composition variables were determined using the bio-impedance method (Tanita BC418). The patients were then split into two groups: metabolic syndrome group (Group 1, 140 women), non-metabolic syndrome group (Group 2, 185 women). While the homogenous data were tested using the parametric Student’s t-test, the Mann-Whitney test was used for the non-homogenous data. The results were accepted to be significant if the p value was less than 0.05.
Results: A 43% of 335 patients with the Body Mass Index (BMI)>25 were coined as metabolic syndrome patients. 1.8% of women with BMI=25-29.9 (n=6), 8.4% of women with BMI=30-34.9 (n=28), 12.5% of women with BMI=35- 39.9 (n=42), and 20% of women with BMI ≥ 40 (n=67) had fit into the criteria for the metabolic syndrome. The metabolic syndrome women had a statistically higher values in percentage fat content, fat weight, fat-free content, Body Mass Index, waist circumference, systolic blood pressure, diastolic blood pressure, HbA1c, fasting blood glucose, total cholesterol, triglyceride, LDL cholesterol and insulin levels compared with the non-metabolic syndrome women. HDL cholesterol on the other hand was significantly lower in the metabolic syndrome women. In the metabolic syndrome women, there was also a positive relationship between the BMI and systolic blood pressure, but there was not with waist circumference. A significant portion (43%) of heavy/obese women who came to obtain aerobic exercise prescriptions from the Sports Physiology Clinic had fit into the criteria established for the metabolic syndrome. These women also fit into the medium/ high risk group in the risk analysis as they had altered anthropometric, biochemical and BMI variables. Our study stresses the importance of detailed risk analyses before recommending exercise prescriptions to heavy/obese women.
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