Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian Univer...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Colombia |
| Institución: | Universidad del Rosario |
| Repositorio: | Repositorio EdocUR - U. Rosario |
| Idioma: | inglés |
| OAI Identifier: | oai:repository.urosario.edu.co:10336/22697 |
| Acceso en línea: | https://doi.org/10.3390/nu9091009 https://repository.urosario.edu.co/handle/10336/22697 |
| Access Level: | acceso abierto |
| Palabra clave: | High density lipoprotein cholesterol Low density lipoprotein cholesterol Cholesterol Triacylglycerol Abdominal obesity Adult Alcohol consumption Arm circumference Article Blood sampling Body fat Body mass Cholesterol blood level Colombia Colorimetry Cross-sectional study Diastolic blood pressure Fat mass Female Glucose blood level Human Hypertriglyceridemia Major clinical study Male Mean arterial pressure Metabolic syndrome x Prevalence Risk factor Systolic blood pressure Triacylglycerol blood level University student Waist circumference Adolescent Blood Blood pressure Body composition Lifestyle Obesity Questionnaire Student Young adult Adiposity Body mass index Cross-sectional studies Humans Life style Metabolic syndrome Risk factors Students Surveys and questionnaires Triglycerides |
| Sumario: | High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p and lt; 0.001). BF% and FMI were positively correlated to MetS components (p and lt; 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m2 in men, and 38.95% and 11.86 kg/m2 in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes’ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles. © 2017 by the authors. Licensee MDPI, Basel, Switzerland. |
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