Comparative analysis of abdominal obesity anthropometric indices for the diagnosis of physio-metabolic disorders

  1. Alaminos Torres, Ana 1
  2. López Ejeda, Noemí 2
  3. Rincón Mancheño, Isabel 3
  4. Cabañas Armesilla, María Dolores 4
  5. Marrodán Serrano, María Dolores 4
  1. 1 EPINUT Research Group. Faculty of Medicine, Complutense University of Madrid. Department of Biodiversity, Ecology and Evolution. Complutense University of Madrid.Madrid. España
  2. 2 EPINUT Research Group. Faculty of Medicine, Complutense University of Madrid. Technical Department of Nutrition and Health. Action Against Hunger, Madrid.España
  3. 3 EPINUT Research Group. Faculty of Medicine, Complutense University of Madrid.
  4. 4 EPINUT Research Group. Faculty of Medicine, Complutense University of Madrid. / International Society of Anthropometry Applied to Sport and Health.
Revista:
Nutrición clínica y dietética hospitalaria

ISSN: 0211-6057

Año de publicación: 2019

Volumen: 39

Número: 3

Páginas: 10-13

Tipo: Artículo

DOI: 10.12873/393ALAMINOS DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Nutrición clínica y dietética hospitalaria

Resumen

indicators of abdominal obesity in order to identify physio-metabolic disorders in Spanish adults. Method: We analyzed 3,122 women and 2,103 men attending diet consultation and registered their height, weight and umbilical perimeter. Body mass index (BMI), body roundness (BRI), body shape (ABSI) and waist to height ratio (WHtR) were estimated. Blood pressure and serum levels of glucose, cholesterol and triglycerides were taken. ROC curves were applied to compare the utility of anthropometric indices in the diagnosis of physio-metabolic disorders. Results: The BRI and the WHtR showed the largest areas under the curve (AUC) for the identification of hypertension, hyperglycemia and hypercholesterolemia in both sexes and for hypertriglyceridemia in men. The ABSI presented AUCs below the BMI for the diagnosis of all components. Conclusions: Due to its diagnostic efficiency and ease of calculation, the waist to height ratio is the most recommended parameter in the prediction of physio-metabolic alterations.