Assessment of body composition : total, central, and regional adiposity via stereovision body imaging
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This research utilized stereovision body imaging (SBI) as a method for determining total, central and regional body composition. In Aim 1, prediction equations for abdominal adiposity were developed via anthropometrics, SBI, and magnetic resonance imaging. R2 for total abdominal, subcutaneous, and visceral adiposity were 89.9%, 90.4% and 71.7%, respectively. The prediction of visceral fat was improved when SBI was included as a method. In Aim 2, body size and shape of men and women, as well as risks associated with accumulation of visceral adiposity, were determined by body measurements via SBI. Men had higher total body, torso and abdomen-hip volumes and waist circumference, while women exhibited greater thigh volume, hip circumference, and lower body-volume ratios (p<0.05), while the BMI values for men and women did not differ (p>0.05). Thigh to torso [odds ratios (OR) 0.44] and abdomen-hip (OR 0.41) volume ratios were associated with decreased risks of accumulating visceral adiposity. SBI was effective for determination of body size and shape and the prediction of visceral adiposity accumulation in adults. In Aim 3, the efficacy of body measurements assessed by SBI was explored for the determination of android and gynoid body fat via SBI and dual-energy x-ray absorptiometry. The R2 of the mathematical equations established by body measurements assessed via SBI for fat mass and percent body fat were 93.2% and 76.4% for android, and 91.4% and 66.5% for gynoid, respectively. These prediction values indicate that SBI is good for estimation of android and gynoid body fat mass; but less effective for percent body fat. An improved understanding of human body composition was achieved by this research.