Anthropometric indices and cut-off points in the diagnosis of metabolic disorders

Identifying metabolic disorders at the earliest phase of their development allows for an early intervention and the prevention of serious consequences of diseases. However, it is difficult to determine which of the anthropometric indices of obesity is the best tool for diagnosing metabolic disorders...

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Published in:PloS one 2020-06, Vol.15 (6), p.e0235121-e0235121
Main Authors: Gluszek, Stanislaw, Ciesla, Elzbieta, Gluszek-Osuch, Martyna, Koziel, Dorota, Kiebzak, Wojciech, Wypchlo, Lukasz, Suliga, Edyta, Sanada, Kiyoshi
Format: Article
Language:English
Subjects:
Abnormalities
Adipose tissue
Anthropometry
Biology and Life Sciences
Blood levels
Blood pressure
Body fat
Body mass
Body mass index
Body measurements
Body size
Cardiovascular disease
Cholesterol
Diabetes
Diagnosis
Enzymes
Health sciences
Hypertension
Identification
Insulin resistance
Kinases
Liver diseases
Low density lipoprotein
Medical diagnosis
Medical schools
Medicine and Health Sciences
Metabolic diseases
Metabolic disorders
Metabolic syndrome
Metabolites
Obesity
Overweight
Risk factors
Roundness
Shape
Studies
Triglycerides
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creator Gluszek, Stanislaw
Ciesla, Elzbieta
Gluszek-Osuch, Martyna
Koziel, Dorota
Kiebzak, Wojciech
Wypchlo, Lukasz
Suliga, Edyta
Sanada, Kiyoshi
description Identifying metabolic disorders at the earliest phase of their development allows for an early intervention and the prevention of serious consequences of diseases. However, it is difficult to determine which of the anthropometric indices of obesity is the best tool for diagnosing metabolic disorders. The aims of this study were to evaluate the usefulness of selected anthropometric indices and to determine optimal cut-off points for the identification of single metabolic disorders that are components of metabolic syndrome (MetS). Cross-sectional study. We analyzed the data of 12,328 participants aged 55.7±5.4 years. All participants were of European descent. The following indices had the highest discriminatory power for the identification of at least one MetS component: CUN-BAE, BMI, and WC in men (AUC = 0.734, 0.728, and 0.728, respectively) and WHtR, CUN-BAE, and WC in women (AUC = 0.715, 0.714, and 0.712, respectively) (p
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subjects Abnormalities
Adipose tissue
Anthropometry
Biology and Life Sciences
Blood levels
Blood pressure
Body fat
Body mass
Body mass index
Body measurements
Body size
Cardiovascular disease
Cholesterol
Diabetes
Diagnosis
Enzymes
Health sciences
Hypertension
Identification
Insulin resistance
Kinases
Liver diseases
Low density lipoprotein
Medical diagnosis
Medical schools
Medicine and Health Sciences
Metabolic diseases
Metabolic disorders
Metabolic syndrome
Metabolites
Obesity
Overweight
Risk factors
Roundness
Shape
Studies
Triglycerides
title Anthropometric indices and cut-off points in the diagnosis of metabolic disorders
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