Anthropometric estimators of abdominal fat volume in adults with overweight and obesity

• Published in: International Journal of Obesity Vol. 47; no. 4; pp. 306 - 312
• Main Authors: Michel, Sophia, Linder, Nicolas, Linder, Anna, Eggebrecht, Tobias, Schaudinn, Alexander, Blüher, Matthias, Dietrich, Arne, Denecke, Timm, Busse, Harald
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.04.2023; Nature Publishing Group
• Subjects: 59; 59/57; 692/699/1702/393; 692/699/2743/393; Abdomen; Abdominal Fat - diagnostic imaging; Adipose tissue; Adult; Anthropometry; Body Mass Index; Body measurements; Body weight; Clinical trials; Correlation coefficient; Correlation coefficients; Epidemiology; Evaluation; Female; Females; Health Promotion and Disease Prevention; Hip; Humans; Internal Medicine; Male; Males; Medicine; Medicine & Public Health; Metabolic Diseases; Obesity; Obesity - epidemiology; Obesity, Abdominal; Overweight; Parameters; Patients; Public Health; Retrospective Studies; Risk Factors; Sex; Waist Circumference; Waist-Height Ratio; Waist-Hip Ratio
• ISSN: 0307-0565; 1476-5497
• DOI: 10.1038/s41366-023-01264-x

Background/Objectives To evaluate anthropometric measures for the prediction of whole-abdominal adipose tissue volumes V XAT (subcutaneous V SAT , visceral V VAT and total V TAT ) in patients with obesity. Subjects/Methods A total of 181 patients (108 women) with overweight or obesity were analyzed retrospectively. MRI data (1.5 T) were available from independent clinical trials at a single institution (Integrated Research and Treatment Center of Obesity, University of Leipzig). A custom-made software was used for automated tissue segmentation. Anthropometric parameters ( AP ) were circumferences of the waist (WC) and hip (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and the (hypothetical) hip-to-height ratio (HHtR). Agreement was evaluated by standard deviations s d% of percent differences between estimated volumes (using results of linear AP – V XAT regression) and measured ones as well as Pearson’s correlation coefficient r . Results For SAT volume estimation, the smallest s d% for all patients was seen for HC (25.1%) closely followed by HHtR (25.2%). Sex-specific results for females (17.5% for BMI and 17.2% for HC) and males (20.7% for WC) agreed better. VAT volumes could not be estimated reliably by any of the anthropometric measures considered here. TAT volumes in a mixed population could be best estimated by BMI closely followed by WC (roughly 17.5%). A sex-specific consideration reduced the deviations to around 16% for females (BMI and WC) and below 14% for males (WC). Conclusions We suggest the use of sex-specific parameters–BMI or HC for females and WC for males–for the estimation of abdominal SAT and TAT volumes in patients with overweight or obesity.