6533b81ffe1ef96bd1277d50

RESEARCH PRODUCT

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

Paola PiquerasAlfredo BallesterJuan V. Durá-gilSergio Martinez-hervasSergio Martinez-hervasSergio Martinez-hervasSergio Martinez-hervasJosep RedónJosep RedónJosep RedónJosé T. RealJosé T. RealJosé T. RealJosé T. Real

subject

obesityDEXAanthropometric health indicatorsPopulationvisceral fat030209 endocrinology & metabolismFat distribution03 medical and health sciences0302 clinical medicineEnvironmental healthDiabetes mellitusmedicinePsychologyoverweightObesity030212 general & internal medicineRisk factoreducationGeneral PsychologyAbdominal obesityeducation.field_of_studyanthropometryGeneral Commentaryhealth3D human shapesCT-scanAnthropometrymedicine.diseasewaist circumferenceAnthropometric health indicatorsObesityHealth indicatorRisk identificationBF1-990risk identificationHealthfat distributionMetabolic syndromemedicine.symptomPsychologyMRI

description

[EN] 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.

10.3389/fpsyg.2021.631179https://pubmed.ncbi.nlm.nih.gov/34603167