ECE2016 Eposter Presentations Obesity (69 abstracts)
Waist-to-hip ratio is the most discriminative parameter detecting OGTT alterations in men
Belén Pérez-Pevida 1 , Patricia Andrada 1 , María Llavero-Valero 2 , Gutiérrez-Buey Gala 2 , Núñez-Córdoba Jorge 3, , Gómez-Ambrosi Javier 1, , Silva Camilo 1, , Galofré Juan Carlos 2, , Salvador Javier 1, , Frühbeck Gema 1, & Escalada Javier 2,
1Department of Endocrinology and Nutrition. Metabolic Research Laboratory, CIBEROBN, Instituto de Salud Carlos III, Clínica Universidad de Navarra., Pamplona, Spain; 2Department of Endocrinology and Nutrition. Clínica Universidad de Navarra., Pamplona, Spain; 3Division of Biostatistics, Research Support Service, Central Clinical Trials Unit, Clínica Universidad de Navarra. Department of Preventive Medicine and Public Health, Medical School, Universidad de Na, Pamplona, Spain; 4Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
Background: There is a clear relationship between obesity and carbohydrate metabolism alterations (CMA), such as impaired glucose tolerance (IGT) and T2D. OGTT is used for the diagnosis of those alterations, but is not performed in case of normal fasting glucose values (NFG). Moreover, BMI underestimates the diagnosis of obesity and body composition alteration can be crucial to the development of abnormal carbohydrate metabolism. This study aimed to examine the discriminating value of body composition study and anthropometric data compared with BMI in the diagnosis of CMA.
Objectives: Describe the prevalence of CMA in patients with NFG. Study the discriminating value of body composition [total body fat % (BF%) and visceral adipose tissue (VAT)] and anthropometric data to detect CMA in men with NFG.
Methods: We recruited 170 non-diabetic men >18-year-old with NFG (≤99 mg/dl) who underwent a 75 g OGTT with a concomitant body composition and anthropometry study between 2000 and 2014. Body density was estimated by Air-Displacement Plethysmography (Bod-Pod®). BF% was estimated from body density using the Siri equation. Bioelectrical impedance analysis was used to determine visceral fat by the ViScan system (Tanita Corp®). Patients were classified by glucose tolerance on the basis of blood glucose levels according to WHO diagnostic criteria for diabetes (2006). The statistical software package SPSS 20.0 (SPSS Inc., Chicago, IL, USA). Area Under the ROC Curve (AUC) was used for diagnostic test evaluation.
Results: Basal characteristics: BMI 36.05±8.12, 30.54±14.7 years, Physical activity level 1.56±0.12, HOMA-IR 2.94±1.87. The prevalence of IGT and T2D was 21.6% and 2.7% respectively. AUC of waist-to-hip ratio was 0.68, BF% 0.61, waist circumference 0.60, BMI 0.58 and VAT 0.54. All variables demonstrated a significant discriminating value (p-value=0.023).
Conclusions: In our population, CMA prevalence was 24.3% after OGTT, so normal fasting glycaemia does not rule out CMA. Among all the anthropometric and body composition parameters analysed, waist-to-hip ratio was the most discriminative detecting CMA in our population, and it could be helpful in order to select patients in which an OGTT should be performed. This can help to establish appropriate measures to reduce cardiometabolic risk in men.
Keywords: Obesity, Anthropometry, Body composition, Body fat, Visceral fat, Oral glucose tolerance testing
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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