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Prediction of total and regional body fat by the Du Bois and Broca equations in a multiethnic cohort of young adults.
The Du Bois and Broca equations are most often used to predict regional (android/gynoid or subcutaneous/visceral) and total body fat in clinical practice and research settings. We aimed to develop and test the performance of sex- and ethnicity-specific equations to predict total and regional body fat in a multiethnic cohort of young adults using dual energy X-ray absorptiometry. Community-based cohort study. Out of the original cohort of 4220 young adults aged 19-30 years, 3188 subjects (n = 605 males) had complete measurements of body composition and were included in the analysis. Fat mass was measured by dual energy X-ray absorptiometry. Age, sex, ethnicity and height were used to predict body fat. The percentage of body fat was well predicted by the Du Bois, Broca, Seychelles, and equation-2 equations in males and females. The most significant prediction equations were equation-1 and equation-2, in males and females respectively. The subcutaneous adipose tissue fraction was predicted better in males by the three equations compared with the equation-1, while the equation-2 showed the best performance in the prediction of gynoid fat in both sexes. The percentage of predicted body fat (%BFp) by the Seychelles equation was inversely associated with insulin resistance (p This invention pertains to an improved nut-bolt assembly and more particularly to a high strength and self-locking nut-bolt assembly.
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