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

作者：McCauley Liron S; Sumrell Ryan M; Gorgey Ashraf S^*

来源：PM and R, 2018, 10(8): 817-+.

DOI：10.1016/j.pmrj.2018.02.007

Background: 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).
Objective: To validate the use of anthropometrics, including abdominal circumference and skinfold thickness (SET) measurements against MRI to predict subcutaneous adipose tissue (SAT) and VAT cross-sectional areas in persons with SCI.
Design: Cross-sectional.
Setting: 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 SET 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 SET. Bland-Altman plots were used to determine limits of agreement between prediction equations and MRI.
Main Outcome Measurements: SAT and VAT cross-sectional areas.
Results: SAT(Anthro)(-)(CSA) explained 76% of the variance in SAT cross-sectional area (r(2) = 0.76, standard error of the estimate [SEE] = 49.5 cm(2), P <.001). VAT(Anthro)(-)(CSA) explained 72% of VAT cross-sectional area (r(2) = 0.72, SEE = 45.8 cm(2), P <.001). Compared to VAT(Anthro-)(CSA), BMI, waist circumference, and SE T explained only 37%, 63%, and 31%, respectively, in the variance of VAT MRI.
Conclusion: Abdominal circumference and SE T demonstrated an alternative way to predict VAT CSA. VAT(Anthro)(-CSA) estimated VAT(MRI) more accurately than BMI, waist circumference, and SET in individuals with chronic SCI.

• 出版日期2018-8