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Nutrición Hospitalaria

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

Nutr. Hosp. vol.32 n.6 Madrid Dec. 2015

http://dx.doi.org/10.3305/nh.2015.32.6.9813 

ORIGINAL / Obesidad

 

Anthropometry to identify high visceral fat area in postmenopausal women

Antropometría para la identificación de zona de grasa visceral alta en mujeres posmenopáusicas

 

 

Francisco José Gondim Pitanga1, Cristiano Penas Seara Pitanga2, Ronaldo Eugénio Calçada Dias Gabriel3, Carmen Cristina Beck4 and Maria Helena Rodrigues Moreira5

1Universidade Federal da Bahia (UFBA), Salvador, BA, Brazil.
2Laboratório Baiano de Ciências do Esporte (SPORTCLIN), Salvador BA, Brazil.
3Universidade de Trás-os-Montes e Alto Douro (UTAD), Vila Real, Centro de Investigação e de Tecnologias Agroambientais e Biológicas (CITAB). Portugal.
4Instituto Federal de Santa Catarina (IFSC), Palhoça, SC, Brazil.
5Universidade de Trás-os-Montes e Alto Douro (UTAD), Vila Real, Centro de Investigação em Desporto, Saúde e Desenvolvimento Humano (CIDESD) e Centro de Investigação e de Tecnologias Agroambientais e Biológicas (CITAB), Portugal.

 

 


ABSTRACT

Introduction: the evaluation of the body fat distribution by anthropometry can serve to identify excess visceral fat. This diagnosis will enable implementation of specific measures to both prevent and treat excess visceral fat in postmenopausal women.
Objective: the aim of this study was to analyze different anthropometric indicators and identify the best cutoff points to discriminate subjects with high visceral fat area (HVFA) in postmenopausal women.
Methods: cross-sectional study with a sample of 255 postmenopausal women. Different Receiver Operating Characteristic (ROC) curves were constructed and the areas under them compared in terms of the conicity index (C-index), body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), weight-to-height ratio (WHtR) and HVFA. Sensitivity and specificity identified the best cutoff points between the different anthropometric indicators in order to discriminate subjects with HVFA. The confidence interval was set at 95%.
Results: statistically significant areas under the ROC curve were found for all anthropometric indicators analyzed. The following cutoff points, with their respective sensitivities and specificities to discriminate subjects with HVFA, were suggested: C-index (1.19; 75.00%- 74.77%); BMI (27.3 kg/m2; 81.08%-80.37%); WHR (0.98; 90.54%-83.18%); WC (85 cm; 85.14%-81.31%); and WHtR (0.55; 80.41%-80.37%).
Conclusion: these results demonstrate that anthropometric indicators identify HVFA well in postmenopausal women and can be used instead of more sophisticated exams to detect high levels of visceral fat.

Key words: Anthropometry. Abdominal fat. Menopause.


RESUMEN

Introducción: la evaluación de la distribución de la grasa corporal por antropometría puede servir para identificar el exceso de grasa visceral. Este diagnóstico permitirá la aplicación de medidas específicas para prevenir y tratar el exceso de grasa visceral en mujeres posmenopáusicas.
Objetivo: el objetivo de este estudio fue analizar diferentes indicadores antropométricos e identificar los mejores puntos de corte para discriminar sujetos con alta área de grasa visceral (AAGS) en mujeres posmenopáusicas.
Métodos: estudio transversal con una muestra de 255 mujeres posmenopáusicas. Se construyeron diferentes curvas Receiver Operating Characteristic (ROC) y las áreas bajo ellas comparadas en términos del índice de conicidad (índice C), el índice de masa corporal (IMC), razón cintura-cadera (RCC), circunferencia de la cintura (CC), relación cintura-estatura (RCEst) y AAGS. La sensibilidad y la especificidad identificaron los mejores puntos de corte entre los diferentes indicadores antropométricos para discriminar sujetos con AAGS. El intervalo de confianza se fijó en 95%.
Resultados: las zonas estadísticamente significativas bajo la curva ROC se encontraron para todos los indicadores antropométricos analizados. Fueron sugeridos los siguientes puntos de corte, con sus respectivas sensibilidades y especificidades, para discriminar sujetos con AAGS: índice C (1,19; 75,00%-74,77%); IMC (27,3 kg / m2; 81,08%-80,37%); RCC (0,98; 90,54%-83,18%); CC (85 cm; 85,14%-81,31%); y RCEst (0,55; 80,41%-80,37%).
Conclusión: estos resultados demuestran que los indicadores antropométricos identifican bien a las mujeres postmenopáusicas con AAGS y pueden ser utilizados en lugar de los exámenes más sofisticados para detectar altos niveles de grasa visceral.

Palabras clave: Antropometría. Grasa abdominal. Menopausia.


 

 

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