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

• 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
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0235121

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