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Get Wear Models And Predictive Equations: Their Form And Content
WEAR ELSEVIER Wear 181-183 (1995) 443-457 Wear models and predictive equations: their form and content H.C. Men ? K.C. Edema? , Mechanical Engineering Department, University of Michigan, Am Arbor,.
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ASTM FAQ
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The Henry equation is the recognised energy estimation calculator in ance with the British Dietetic Association. To estimate your requirements, factor this simple calculation for your age: Male: Aged 18-30 >>>>> 16.0 x weight (kg) + 545 = …….. Aged 30-60>>>>> 14.2 x weight (kg) + 593 = ……..
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The term “equation” means, from the statistical meaning, a formal, exact equality where random residual uncertainty is not involved. When the parameters of the relationship are obtained from sample data and when a random residual term is involved, then the right term from the statistical point of view is “model”.
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Predictive equations are commonly used as an alternative method for estimating REE. • New REE equations with bioimpedance analysis (BIA) variables for subjects with normal weight and overweight. • The equation with raw BIA variables showed the highest accuracy at individual level.
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In men, the Harris-Benedict equation formula used was: BMR=66.4730 + 13.7516 x weight in kg + 5.0033 x height in cm – 6.7550 x age in years. In women, BMR=655.0955 + 9.5634 x weight in kg + 1.8496 x height in cm – 4.6756 x age in years.
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The Henry Oxford equation is among the 'newer' equations and uses weight as the primary predictor of RMR. It is thought that the Henry Oxford equation represents all ethnicities well, as it is based on 10,502 men and women (n=5794, n=4708) from both developed and developing countries.
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Weight, height and gender were significantly correlated to BMR; however height was ex- cluded following stepwise regression analysis resulting in the following BMR prediction equation: BMR (kJ/d) = 52.6 x weight (kg) + 828 x gender + 1960 (women = 0, men = 1) + 468.36 (R 2 = 0.81, P < 0.001) (Table 1).
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