Relationships between outcome variables fit kid toshiba
skin, tennis elbow, toshiba, calorie counter, determine, weight training, heart monitor, prostate cancer, bath, calcomp, chubby, health & fitness, cheapest, The females in this study appeared to be within reference limits for percent body fat. However, greater amounts of body fat relative to weight could be a marker for lifestyles that do not support attainment of optimal peak bone mass.PMID: 10913912 [PubMed - indexed fit kid for MEDLINE]  Display  Summary Brief Abstract Citation MEDLINE XML UI List LinkOut ASN.1 Related Articles Cited Articles Cited in Books CancerChrom Links Domain Links 3D Domain Links GEO DataSet Links Gene Links Gene (GeneRIF) Links Genome Links Project Links GENSAT Links fit kid GEO Profile fit kid 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 Privacy Statement | Freedom of Information Act | Disclaimer Mar 13 2006 06:33:20 bgcolor="#336699" align="left">My NCBI[Sign In] [Register] All Databases PubMed Nucleotide Protein Genome Structure OMIM PMC Journals Books  Search PubMed Protein
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Relationships between outcome variables were toshiba determined using multiple toshiba correlation analysis followed by multiple linear regression with age, weight, height, and fat as predictor variables for outcomes of bone mineral content and density. Correlation analysis indicated that whole-body fat toshiba expressed as a percent was significantly related to weight (p < 0.01), but was not related to age or bone mineral content or density unless bone mineral content was corrected to age or bone area using standard deviation scores. In addition, body fat was associated with bone area for age and height (p < 0.01). However, multiple linear regression yielded opposite results. When included in regression, body fat had a negative impact on bone mineral content (p = 0.003), mineral content corrected to bone area (p = 0.02), and bone density (p = 0.003), while age, weight, and height had positive impacts on these outcome measurements. The data suggest that for younger children, the relative influence of percent body fat will be greater and could be linked with suboptimal attainment of peak bone mass.
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