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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, Predictive equations derived from skinfold thickness (SF) measurements provide good associations with body fat mass (BFM) estimation compared with the more expensive reference methods. As a result, a wide variety of predictive equations mita using SF measurements alone or in combination with other anthropometric measurements have been developed. Since the well known SF prediction equations have been shown to underestimate body fat in subjects with mita higher BFM, a group of mita German researchers set out to determine new predictive equations using a few anthropometric measurements in adults within a range of body fat content including normal and overweight subjects. 117 healthy German men and women, 26 years to 67 years of age, from two different studies were assigned to a validation and cross-validation group.
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{padding: 0 2px 0 2px;} Do you have a chronic illness? Visit LookSmartHealth Improved prediction of body fat Nutrition Research Newsletter,  May, 2005    Save a personal copy of this article and quickly find it again with Furl.net. It's free! Save it. Obesity is frequently evaluated by tanita bf 682 using simple indicators such as BMI, waist circumference, or tanita bf 682 waist-to-hip ratio. However, specificity and adequacy of tanita bf 682 these indicators is still controversial. Body fat is suggested as a better predictor of diseases of the metabolic syndrome. Therefore, the assessment of body composition is necessary but these highly precise and accurate methods are also very expensive and methodological efforts are needed.
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