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Background : To date, there is no consensus regarding adult cutoffs of percentage of body fat or estimated cutoffs on the basis of nationally representative samples with rigorous body-composition measurements. Model fitting included a consideration of complex survey design and multiple imputations. Cutoffs of percentage of body fat were computed that corresponded to BMI cutoffs of Results: R 2 ranged from 0. In men, the percentage of body fat that corresponded to a BMI of The oldest age group had the highest cutoffs of percentage of body fat.
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Hepatitis C is transmitted primarily by exposure to blood containing the hepatitis C virus. Current research suggests that if you're in a long-term, monogamous relationship with a partner who has hepatitis C, your risk of contracting hepatitis C is quite low — unless you also have human immunodeficiency virus HIV. But couples should avoid sharing razors, toothbrushes and nail clippers. Your risk may also be higher if you have intercourse during menstruation or have anal sex, which is more likely to cause bleeding. Your risk of contracting hepatitis C increases significantly if you have HIV.
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Sexual dimorphism in the energy content of weight change

Powers differing from 2 are observed in studies of selected samples, thus raising the question if BMI is a generalizable metric that makes BW independent of height across populations. Objectives: The objectives were to test the hypothesis that adult BW scales to height with a power of 2 independent of sex and race-ethnicity and to advance an understanding of BMI as a measure of shape by extending allometric analyses to waist circumference WC. Results: Exploratory analyses in population samples established age and adiposity as important independent determinants of height scaling powers i. WC also follows generalizable scaling rules, a finding that has implications for defining body shape in populations who differ in stature.
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Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Cross-sectional energy content prediction models were developed and then evaluated in two longitudinal samples: one that used the same methods in 26 obese women losing weight; and the other a compilation of 18 previously reported weight change—body composition studies.
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