Your browser doesn't support javascript.
loading
Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.
Piqueras, Paola; Ballester, Alfredo; Durá-Gil, Juan V; Martinez-Hervas, Sergio; Redón, Josep; Real, José T.
Afiliación
  • Piqueras P; Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain.
  • Ballester A; Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain.
  • Durá-Gil JV; Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain.
  • Martinez-Hervas S; Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain.
  • Redón J; Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain.
  • Real JT; Department of Medicine, University of Valencia, Valencia, Spain.
Front Psychol ; 12: 631179, 2021.
Article en En | MEDLINE | ID: mdl-34305707
ABSTRACT
Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: España