PubMed Health⌕ Search

PubMed · 14988637

The Biagram vector: a graphical relation between reactance and phase angle measured by bioelectrical analysis in infants.

Abstract

BACKGROUND: Biagram vector is derived by plotting direct measurements of reactance and phase angle from the analyzer, which are not dependent on anthropometric characteristics of the subject and it can be considered an emerging method for evaluating the nutritional status in clinical practice. AIM: To calculate and plot the Biagram vector in a sample of healthy infants in their first year of life. METHODS: 174 healthy infants (99 male, 75 female) aged under 1 year, born at full term and adequate for gestational age, were enrolled in a cross-sectional study. The sample was divided into three age groups: 0-3.99 months (group A), 4-7.99 months (group B), and 8-11.99 months (group C). Bioelectric impedance analysis (BIA) was performed by a tetrapolar single frequence phase-sensitive impedance analyzer (STA/BIA; Akern Srl, Firenze, Italy). RESULTS: Biagram vector showed an increasing trend (p < 0.05) in the first year of life (group A: 27.9 +/- 12.6; group B: 32.1 +/- 9.7; group C: 37.2 +/- 9.5). Females showed Biagram vector values significantly higher than males in group A (34.7 +/- 15.0 vs. 24.0 +/- 9.1; p < 0.05). 95% confidence ellipses of Biagram vector for each age group were calculated and plotted and a comparison of our results with published data calculated in older children was conducted. CONCLUSION: The bivariate analysis of BIA measurements, plotted as a vector in relation to the age, showed an increasing trend with a higher gain rate under 1 year with respect to the following age periods. These data could reflect the variation of body composition in the first years of life and could be of interest to assess the nutritional status for clinical practice.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

F Savino, F Cresi, G Grasso, R Oggero, L Silvestro. 2004-02-25. The Biagram vector: a graphical relation between reactance and phase angle measured by bioelectrical analysis in infants.. https://doi.org/10.1159/000077042

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗