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...

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Autores:
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
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
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
Body mass
Lifestyle
Metabolic syndrome x
Obesity
Questionnaire
Student
Young adult
Adiposity
Adolescent
Blood pressure
Body composition
Body mass index
Cholesterol
Cross-sectional studies
Female
Humans
Life style
Male
Metabolic syndrome
Prevalence
Risk factors
Students
Surveys and questionnaires
Triglycerides
Waist circumference
Young adult
Adiposity
Fat mass
Metabolic syndrome
Obesity
Rights
License
Abierto (Texto Completo)
Description
Summary: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.