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Background: Obesity in adolescence is associated with cardiometabolic problems in adulthood. It is necessary to have an easily applicable obesity index to predict cardiometabolic risk in adolescents. Objective: To compare the usefulness of waist to-height ratio (WHtR), waist circumference (WC), and...
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| Altres autors: | , , |
| Format: | article |
| Idioma: | spa |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://revistadigital.uce.edu.ec/index.php/CIENCIAS_MEDICAS/article/view/1898 |
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| Sumari: | Background: Obesity in adolescence is associated with cardiometabolic problems in adulthood. It is necessary to have an easily applicable obesity index to predict cardiometabolic risk in adolescents. Objective: To compare the usefulness of waist to-height ratio (WHtR), waist circumference (WC), and body mass index (BMI) to determine obesity and predict cardiometabolic risks in adolescents. Methods: In this cross-sectional study, under the criteria of the International Diabetes Federation (IDF), obesity, hypertension, hyperglycemia, hypertriglyceridemia and low HDL rates were determined in 931 Ecuadorian mestizo adolescents. The association of the three obesity indices with the cardiometabolic risk factors was determined by means of adjusted Odds radios and area under the Receiver Operating Characteristic curve (AUC-ROC). Results: WHtR ≥0.5 determined the highest percentage of obesity (36.6%) with respect to WC (17.4%) and BMI (6.7%). BMI ≥95 percentile was significantly associated with the four cardiometabolic risk factors, while WC and WHtR were associated with three out of four factors. The three obesity indices determine the concurrence of three or more cardiometabolic risk factors with high sensitivity and specificity with an AUC greater than 0.80. Conclusions: BMI ≥95th percentile is a better predictor of cardiometabolic risk, but it is not a good determinant of obesity. The WHtR seems to be the most suitable anthropometric indicator to detect obesity and predict cardiometabolic risk in mestizo adolescents due to its easy determination and use. Keywords: Obesity, metabolic syndrome, predictors, cardiometabolic risks |
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