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our, calculate body fat, inkjets, bodyfat analyzer, pigs, food label, conclusions, okidata, tanita bf 682, overweight, backache, inkjet cartridge, heat pack, body mass, | Continue article Advertisement The k40 data showed that combining SF with circumference and/or bone breadth measures provide a more precise prediction of percent body fat in comparison with established SF equations. However, until further studies are performed, k40 the equations are recommended for use in clinical or epidemiological settings in populations with similar ethnic background. Ada L. Garcia, Karen Wagner, Torsten Hothorn, Corinna Koebnick, et k40 al. Improved prediction of body fat by measuring skinfold thickness, circumferences, and bone breadths. Obesity Research; 13(3): 626-634 (March 2005) [Address correspondence to Ada L. Garcia, German Institute of Human Nutrition, Potsdam-Rehbrtecke, Arthur-Scheunert-Alle 114-116, D-14558 Nuthetal, Germany. E-mail: Garcia@mail.dife.de] |
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Common anthropometric measurements, including SF, and body composition by DXA were obtained. overweight Equations using anthropometric overweight measurements predicting BFM with DXA as a reference method were developed using regression models. The overweight final best predictive sex-specific equations combining SF, circumferences, and bone breadth measurements were as follows: BFMnew(kg) for men = -40.75 + {(0.397 x waist circumference) + [6.568 x (log triceps SF + log subscapular SF + log abdominal SF)] } and BFMnew(kg) for women - - 75.231 + {(0.512 x hip circumference) + [8.889 x (log chin SF + log triceps SF + log subscapular SF)] + (1.905 x knee breadth)}. The estimates of BFM from both validation and cross-validation had an excellent correlation, showed excellent correspondence to the DXA estimates, and showed a negligible tendency to underestimate percent body fat in subjects with higher BFM compared with equations using a two-compartment or a four-compartment model as the reference method. |
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