1,721,152 research outputs found
Energy and protein intake may have an impact on survival in patients with advanced cancer.
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Body composition measurements: interpretation finally made easy for clinical use.
No full textPurpose of review This review presents the latest clinical applications of bioelectrical impedance analysis. It discusses the evaluation of nutritional status by using fat-free mass and body fat, percentiles of fat-free mass and body fat, height-normalized fat-free mass and body fat mass indices and a resistance/ reactance vector graph.
Recent findings Fat-free mass and body fat can be used to evaluate nutritional status by comparing individuals or groups of individuals with themselves or with reference values. Percentile distributions are also useful in determining whether individuals or groups fall within the population range. Percentile ranks can also be used to define nutritional depletion and obesity. The use of the fat-free mass and body fat mass indices has the advantage of compensating for differences in body height. The use of low, normal, high and very high fat-free mass and body fat mass indices ranges that correspond to underweight, normal, overweight and obese body mass index categories further aid in the nutritional assessment process. With vector bioelectrical impedance analysis, an individual impedance vector is compared with the 50, 75, and 95% tolerance ellipses calculated in the reference, healthy population, allowing evaluation in any clinical condition. More accurate estimates of conventional bioelectrical impedance analysis equations might be obtained in individuals with a normal impedance vector.
Summary The assessment of fat-free mass and body fat provides valuable information about changes in body composition with weight gain or loss and physical activity, and during ageing. The use of percentiles and height-normalized fat-free mass and body fat permit the classification of patients as under or overnourished
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Genetics and nutrition
No full textThe understanding of the role of nutrients on DNA stability, repair and on the different gene expression processes recently became more prominent in nutritional science. Nutrients and the genomics interact at two levels. Nutrients can induce gene expression thereby altering individual phenotype. Conversely single nucleotide polymorphisms, in a range of genes important in inflammation and lipid metabolism, alter the bioactivity of important metabolic pathways and mediators and influence the ability of nutrients to interact with them.The study on single effects of nutrients on the individual's phenotype as well as the serial analyses of gene expression patterns in response to specific nutrients will help us to understand how metabolic homeostasis is maintained. Considering that there is wide variation in the ability of nutritional factors to modulate the expression of detrimental or protective proteins at an individual level, the concept of diet-medication could be developed in the light of a better understanding of nutrient–gene interactions. In this way, ‘good responders’ and ‘poor responders’ to diet therapy can be identified. Furthermore, as several vitamins participate in DNA protection and genomic stabilisation, diet-linked therapies could become part of cancer prevention and other treatments with relevant consequences for human health
Genomic interactions with disease and nutrition
No full textThe putative influence of genomic factors on the responsiveness to nutrient intake is a newly developed field of research. As well, there is growing interest for determining the interactions between nutrient, inflammation and aging and the possible impact on lifespan and disease development.Inflammation adversely affects health in many diseases with an inflammatory basis, such as atherosclerosis, obesity and type 2 diabetes mellitus. The metabolic effects of inflammation are mediated by pro-inflammatory cytokines. Metabolic effects include insulin insensitivity, hyperlipidemia, muscle protein loss and oxidant stress. Aging is also characterized by an increase in inflammatory stress and contains some of the hallmarks of inflammatory disease. It is also a phase of life when inflammatory diseases rise in incidence.Evidence is accumulating that the individual level of cytokine production is influenced by single nucleotide polymorphisms (SNPs) in cytokine genes. The combination of SNPs might control the relative level of inflammatory stress following inflammatory stimuli and diseases. These genomic characteristics might therefore influence lifespan, morbidity and mortality in diseases with an infectious or inflammatory basis.Recent studies indicate that genotypic factors may influence the effectiveness of such immunonutrients as anti-oxidants and n-3 pollyunsaturated fatty acids.A better understanding of this aspect of nutrient gene interactions and of the genomic factors which influence the intensity of inflammation in disease will help in the targeting of nutritional therapy
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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