PubMed · 7016756
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
S M Merchant. Nutritional anthropometry.. https://doi.org/10.1007/bf02758198
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
This is the first study to demonstrate the appearance of the Fibonacci Cascade within the distribution of coronary artery lesions in the human heart. The propensity for this ratio to appear in nature may also be because this ratio optimizes the efficiency of packing structures in a limited space in such a way that wasted space is minimized and the supply of energy or nutrients is optimized.
Anthropometry is widely recognized as an important method in the evaluation of dysmorphic children. Nevertheless, it has never gained widespread clinical use. We believe that this has mainly practical reasons: appropriate growth charts are not readily available at the bedside or in clinic and taking multiple measurements and plotting them into corresponding growth charts is a time-consuming task. Here we describe a computer program that overcomes both problems: ABase compares entered anthropometric measurements to a database of age- and sex-matched reference values, calculates the centile rank and displays the result either as text or as a digitized growth chart. The program runs on small handheld computers that can easily be carried around in a shirt pocket.
We examined the association of candidate gene polymorphisms with bone mineral density (BMD) and bone mineral content (BMC) in a cohort of 428 healthy non-Hispanic white children participating in the Iowa Bone Development Study, a longitudinal study of determinants of bone accrual in childhood. BMD and BMC measurements of the hip, spine and whole body were made using a Hologic 2000 Plus densitometer in 228 girls and 200 boys ages 4.5-6.5 years. Genotypes at 14 loci representing eight candidate genes [type I collagen genes (COL1A1 and COL1A2), osteocalcin, osteonectin, osteopontin, vitamin D receptor (VDR), estrogen receptor (ER), androgen receptor (AR)] were determined. Gender-specific and gender-combined prediction models for bone measures that included age, weight, height (and gender) were developed using multiple linear regression analysis. COL1A2 and osteocalcin genotypes were identified as having the strongest and most consistent association with BMD/BMC measures. Osteonectin, osteopontin and VDR translation initiation site polymorphisms were associated with some individual bone measures, but none of the associations was as consistent as those identified for the COL1A2 and osteocalcin genes. No association was identified with COL1A1 (RsaI and Sp1), VDR (BsmI) and ER polymorphisms (PvuII, XbaI, TA) and BMD/BMC. However, we identified significant gene-by-gene interaction effects involving the ER and both VDR and osteocalcin, which were associated with BMD/BMC. Our data suggest that genetic variation at multiple genetic loci is important in bone accrual in children. Moreover, the combination of genotypes as several loci may be as important as a single genotype for determining BMD and BMC.