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Nutrición Hospitalaria

On-line version ISSN 1699-5198Print version ISSN 0212-1611

Abstract

FERNANDEZ-VAZQUEZ, Rosalía; MILLAN ROMERO, Ángel; BARBANCHO, Miguel Ángel  and  ALVERO-CRUZ, José Ramón. Abdominal bioelectrical impedance analysis and anthropometry for predicting metabolic syndrome in middle aged men. Nutr. Hosp. [online]. 2015, vol.32, n.3, pp.1122-1130. ISSN 1699-5198.  http://dx.doi.org/10.3305/nh.2015.32.3.9401.

Objective: central obesity has a higher risk of metabolic syndrome. The present work aimed to study the relationship of trunk fat and the visceral fat index, and other anthropometric indices in relation to the metabolic syndrome in middle aged male Methods: design: transversal descriptive and correlational study. Participants: 75 male, volunteers who have access to a medical assessment, with an age range of 21 to 59 years, from different professions. Measurements: Weight, height, body mass index, waist circumference, gluteal circumference, waist-to-hip ratio, waist-to-height ratio, trunk fat and visceral fat level by bioelectrical abdominal impedance analysis with Tanita AB-140 (ViScan) and biochemical markers: fasting glucose, total cholesterol, and triglycerides. Likewise, the systolic and diastolic blood pressure was measured. Results: there are significant correlations of anthropometric measurements with trunk fat and visceral fat level and the same with biochemical variables. Receptor-operator curves (ROC curve) analysis shows that the cutoff points from which arises the metabolic syndrome are 32.7% of trunk fat and a level of visceral fat of 13 with a high sensitivity and specificity, attaining the same cut-off points for the metabolic syndrome and obesity status. Conclusions: trunk fat and visceral fat levels determined by bioelectrical abdominal impedance analysis, values are variables very sensitive and specific for the detection of metabolic syndrome and obesity, though not over the variables and anthropometric indices. In the condition of the overweight, trunk fat and visceral fat level are more predictive than anthropometric measures.

Keywords : Bioelectrical abdominal analysis; Anthropometry; Men; Metabolic syndrome; Overweight and obesity.

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