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for men and 3.3% for women. A similar analysis using data collected with a conventional tetrapolar 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 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 body trends Articles Cited in Books CancerChrom Links body trends 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 to Text File Printer Clipboard E-mail Order Write to the Help Desk NCBI | NLM | NIH Department of Health & Human Services

This is comparable to the other prediction techniques tested (conventional tetrapolar impedance -1.3 (2SD 6.9) kg, skinfold thicknesses 0.3 (2SD 7.4) jogger kg, and BMI-based formulas -0.2 (2SD 9.0) kg jogger and -0.6 (2SD jogger 8.5) kg), but the agreement was poorer than for 'reference' methods to measure body fat (density 0.2 (2SD 3.7) kg, total 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 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%

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