ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS
Anthropometric indices; Cardiometabolic risk; Metabolic syndrome; Body fat distribution; ROC curve analysis.
Health promotion, prevention and early detection of risk factors for developing chronic non-communicable diseases are important ways of combating, as well as reducing morbidity and mortality associated with their occurrence. Methods of easy and quick application that make it possible to know the magnitude of cardiometabolic risk factors in order to plan interventions effectively, minimizing the aggravations of chronic diseases and promoting people's health and quality of life are very important for prevention, diagnosis and treatment, since Brazilian public health cannot access routine exams for the entire population. Thus, the aim of the study is to propose cutoff points for anthropometric indices for the identification of cardiometabolic risk factors and metabolic syndrome, as well as to compare their predictive capacity. This is a descriptive cross-sectional study. The sample consisted of 330 subjects of both sexes, aged between 18 and 59 years, students at the Federal University of Rio Grande do Norte. Body mass, height and waist circumference measurements were taken to calculate the anthropometric indices A body shape index, Body Roundess index, Waist circumference and Waist-hip ratio (ABSI, BRI, WC, RCE). The percentage of fat was verified by means of DXA (Dual Energy X-ray Absorptiometry), in addition to determining from the blood sample, the serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides. Blood pressure was also measured. As a result, the cutoff points for females were found to be ABSI >0.073; BRI >1.81; WC >87.8 and WHtR >0.52; for males, the following results were found: ABSI >0.079; BRI >3.42; WC >90 and WHtR >0.5. Based on the sensitivity and specificity of the data, we could observe that WC obtained excellent results for both sexes, and can be widely applied in the Brazilian population, in addition to the BRI, which obtained better results for females and the RCE for males, obtaining optimal cut-off points for screening for cardiometabolic risk and metabolic syndrome. In addition, it was evidenced that ABSI does not have a good predictive power.