Anthropometric Prediction of Visceral Adipose Tissue in Persons With Motor Complete Spinal Cord Injury.

Abstract

Spinal cord injury (SCI) results in increased accumulation of visceral adipose tissue (VAT). Anthropometrics may provide an alternative to estimate VAT cross-section area (CSA) compared to magnetic resonance imaging (MRI). To validate the use of anthropometrics, including abdominal circumference and skinfold thickness (SF_T) measurements against MRI to predict subcutaneous adipose tissue (SAT) and VAT cross-sectional areas in persons with SCI. Cross-sectional. Clinical research center PARTICIPANT: Twenty-two men with motor complete SCI METHODS: Anthropometric measurements and MRI were taken during a single visit. Abdominal circumference and SF_T were used to derive prediction equations for subcutaneous adipose tissue (SAT_Anthro-CSA) and VAT (VAT_Anthro-CSA). Three-axial MRI at the level of umbilicus was used to establish the prediction equations. VAT_Anthro-CSA was compared against body mass index (BMI), waist circumference, and SF_T. Bland-Altman plots were used to determine limits of agreement between prediction equations and MRI. SAT and VAT cross-sectional areas. SAT_Anthro-CSA explained 76% of the variance in SAT cross-sectional area (r² = 0.76, standard error of the estimate [SEE] = 49.5 cm², P <.001). VAT_Anthro-CSA explained 72% of VAT cross-sectional area (r² = 0.72, SEE = 45.8 cm², P <.001). Compared to VAT_Anthro-CSA, BMI, waist circumference, and SF_T explained only 37%, 63%, and 31%, respectively, in the variance of VAT MRI. Abdominal circumference and SF_T demonstrated an alternative way to predict VAT CSA. VAT_Anthro-CSA estimated VAT_MRI more accurately than BMI, waist circumference, and SF_T in individuals with chronic SCI. I.