(2SD 7.9) kg relative accu measurefat loss design n/a mct
cybersoft, analysis, mct, ebony bbw , bodybuildingsupplements, men's health, bbw leather , in, personalbody fat tester, men, tanita scales, bbw movies , ultimate nutrition, well being, belts, ripped fuel, denise austin, heatzone, concerns, latina, six pack abs, msm, A similar analysis using data collected with a conventional tetrapolar accu measurefat loss design n/a system yielded residual standard deviations of 4.3% for men and 3.1% for women. This demonstrates that the practical simplicity of the novel Tanita method accu measurefat loss design n/a is not associated with a clinically significant decrement in performance relative to a traditional impedance device.PMID: 10743490 [PubMed - indexed for MEDLINE]  Display  Summary Brief Abstract Citation MEDLINE XML UI List LinkOut ASN.1 Related Articles Cited Articles Cited in Books CancerChrom accu measurefat loss design n/a Links Domain Links 3D Domain Links GEO DataSet Links Gene Links Gene (GeneRIF) Links Genome Links Project Links GENSAT Links GEO Profile Links HomoloGene Links Nucleotide Links OMIA Links OMIM (calculated) Links OMIM (cited) Links BioAssay Links Compound Links Compound via MeSH Substance Links Substance via MeSH PMC Links Cited in PMC PopSet Links Probe Links Protein Links SNP Links Structure Links UniGene Links UniSTS Links  Show  5 10 20 50 100 200 500 Sort by Pub Date First Author Last Author Journal Send
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(2SD 7.9) kg relative to a four-compartment model. This is comparable to the other prediction techniques tested (conventional tetrapolar impedance -1.3 (2SD 6.9) kg, skinfold thicknesses mct 0.3 (2SD 7.4) kg, and BMI-based formulas -0.2 (2SD 9.0) kg and -0.6 (2SD 8.5) kg), but the agreement was poorer than for 'reference' methods to measure body fat (density 0.2 (2SD 3.7) kg, total mct body water -0.9 (2SD 3.4) kg and dual-energy X-ray absorptiometry 0.1 (2SD 5.0) kg). The present paper also describes the mct derivation of a new prediction equation for the calculation of body composition from the Tanita body-fat analyser. The equation incorporates sex, age, and a log-transformation of height, weight and the measured impedance to predict body fat measured by a four-compartment model. This approach is recommended in the derivation of other prediction equations in body composition analysis. Using this novel prediction equation the residual standard deviations were 4.8% for men and 3.3% for women.
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