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

Author:

Michel SophiaORCID,Linder Nicolas,Linder Anna,Eggebrecht Tobias,Schaudinn Alexander,Blüher MatthiasORCID,Dietrich Arne,Denecke Timm,Busse HaraldORCID

Abstract

Abstract Background/Objectives To evaluate anthropometric measures for the prediction of whole-abdominal adipose tissue volumes VXAT (subcutaneous VSAT, visceral VVAT and total VTAT) 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 sd% of percent differences between estimated volumes (using results of linear APVXAT regression) and measured ones as well as Pearson’s correlation coefficient r. Results For SAT volume estimation, the smallest sd% 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.

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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