The BFM calculated from differential body fat monitors

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androstenediol, point, gadgets, l glutamine, the zone diet, burning, cardiopathy, scale, tribex 500, accu measurefat loss design n/a, multi vitamin, nutritional supplements, bodymass index, ami accu measure fat tester by accu-fitness, used, bodyfat calculators, measure body fat, body fat monitors, bmi, fattrackgold digital body fat caliper and myotape combo, BFMPreNew in differential the cross-validation group also correlated well with BFMDXA in both men (r = 0.936, p < 0.001) and women (r = 0.882, p < 0.001). The root mean square error (RMSE) for the validation group was 2.03 kg in men differential and 3.40 kg in women, and the pure error for the cross-validation group was 2.98 kg in men and 3.38 kg in women. Final Equations for the Prediction of BFM Final differential equations for BFM were calculated based on the total sample (n = 117): The BFM calculated from the new equation correlated highly with BFMDXA in both men (r = 0.938, p < 0.001) and women (r = 0.949, p < 0.001), as shown in Figure 1 . In men, the sum of three SFs (triceps, subscapular, and abdominal) explained 73.6% (R2 = 0.736, p < 0.001) of the variance. R2 increased by 14.5% (R2change = 0.145, p < 0.001) after inclusion of waist circumference to the regression model. In women, the sum of three SFs (triceps, subscapular, and chin) explained 70.0% (R2 = 0.700,
The body fat monitors BFM calculated from the preliminary equation correlated highly with BFMDXA in both men (r = 0.969, p body fat monitors < 0.001) and women (r = 0.965, p < 0.001). In men, the sum of three SFs (triceps, subscapular, and abdominal) explained 78.0% (R2 = 0.780, p < 0.001) body fat monitors of the variance. R2 increased by 15.8% (R2change = 0.158, p < 0.001) after inclusion of waist circumference into the regression model. In women, the sum of three SFs (triceps, subscapular, and chin) explained 80.0% (R2 = 0.800, p < 0.001) of the variance. R2 increased by 11.1% (R2change = 0.111, p < 0.001) after inclusion of hip circumference and by an additional 2.0% (R2change = 0.020, p = 0.001) after inclusion of knee breadth to the regression model. The preliminary equations were used to calculate BFM in the cross-validation group.
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