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

Abstract

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 cutoff points for the identification of single metabolic disorders that are components of metabolic syndrome (MetS). Design Cross-sectional study. Participants We analyzed the data of 12,328 participants aged 55.7±5.4 years. All participants were of European descent. Primary outcome measure Four MetS components were included: high glucose concentration, high blood triglyceride concentration, low high-density lipoprotein cholesterol concentration, and elevated blood pressure. The following obesity indices were considered: waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), body fat percentage (%BF), Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), body roundness index (BRI), and a body shape index (ABSI). Results 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<0.001 for all). The other indices were similarly useful, except for the ABSI.

Time-Restricted Eating and Metabolic Syndrome: Current Status and Future Perspectives

“…Overweight and obesity, typically defined as the body mass index (BMI) of ≥25 kg/m 2 and ≥30 kg/m 2 , respectively, significantly increase the probability of metabolic disorders including MetS and are major risk factors for CVD and T2DM [ 1 , 2 , 3 , 49 , 50 ]. For the BMI, the optimal cut-off point for the identification of metabolic disorders in the European population is 27.2 kg/m 2 [ 51 ]. The waist circumference measurement is recommended for those with BMI of 25 to 34.9 kg/m 2 to provide additional information on CVD risk; however, if BMI is >30 kg/m 2 , central obesity can be assumed and waist circumference does not need to be measured [ 3 , 48 ].…”

“…The waist circumference measurement is recommended for those with BMI of 25 to 34.9 kg/m 2 to provide additional information on CVD risk; however, if BMI is >30 kg/m 2 , central obesity can be assumed and waist circumference does not need to be measured [ 3 , 48 ]. However, owing to the need for screening of individuals with a metabolically obese normal weight, the measuring of waist circumference should be considered when BMI is ≥22.5 kg/m 2 in females and ≥23.8 kg/m 2 in males [ 50 , 51 , 52 ].…”

Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes

“…Although some previous publications have addressed the association between adiposity and the risk of MetS, some unambiguity remains as to which obesity index is best used to diagnose MetS. 11 BMI is reported to be the most commonly used index to evaluate obesity; 12 Waist to height ratio (WHtR) is reported to be a good predictor of MetS in childhood; 13 And several novel adiposity indices have been constructed recently for screening MetS, including: body roundness index (BRI), 14 a body shape index (ABSI), 15,16 conicity index (CI), Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), [17][18][19][20] triponderal mass index (TMI), and triglyceride-glucose (TyG) index. [21][22][23][24] The relationships between classic and novel adiposity indices has not been studied in diabetic patients.…”

Patrones Morfológicos Asociados a Factores de Riesgo Metabólico en Población de Adolescentes Escolarizados

“…Estas correlaciones reafirman la directa relación de la mediciones antropométricas y la asociación con riesgo cardiometabólico (Ashwell & Gibson;Huamán et al, 2017;Díaz et al, 2017). La incorporación de las mediciones morfológicas permiten la identificación precoz de transtornos y patologías componentes del síndrome metabólico, permitiendo mejores intervenciones en los adolescente (Guszek et al, 2020).…”