1,721,016 research outputs found
Dietary variety and food group consumption in children consuming a cows’ milk exclusion diet
Dietary variety is defined as the number of different foods or food groups consumed over a given reference period, the consensus being that dietary variety and dietary quality are positively correlated. Recently there has been considerable interest in the association between infant dietary variety and atopic disease.MethodsThis was a cross-sectional study of 8- to 27-month-old children from the Isle of Wight, UK, including two groups: a group of children consuming a cows' milk exclusion (CME) diet and a control group of children consuming an unrestricted diet. Parents completed a validated food frequency questionnaire, from which dietary variety and consumption of food groups were calculated. Growth measurements were recorded.ResultsA total of 126 participants of mean age 13.0 months were recruited. In addition to the expected differences in dairy and soya consumption, the CME group consumed sweet foods 1.6 times less frequently, non-water drinks seven times less frequently (p < 0.05) and ready-made baby foods 15 times more frequently (p < 0.01) than the control group. Overall dietary variety was significantly lower in the CME group (p < 0.01) as was variety of meat and sweet foods consumed. There was a greater concern with healthy eating in the CME group (p < 0.05).ConclusionsChildren consuming an exclusion diet for cows' milk allergy have an overall less varied diet, including a less varied consumption of meat and sweet foods. Efforts should be made to ensure exclusion diets are as varied as possible to optimize nutritional intake
Literature searches and reviews related to the prevalence of food allergy in Europe
In 2011, the European Food Safety Authority (EFSA) received a mandate from the Food Safety Authority of Ireland (FSAI) to review the available scientific data on the prevalence of each food allergy in Europe, to derive threshold concentrations for each allergen in foods when possible, and to review the analytical methods available for the detection/quantification of food allergens. This report presents the findings of a series of systematic reviews of the literature related to these aims. Systematic searches of relevant bibliographic databases and the grey literature were conducted, studies were selected for inclusion according to pre-specified criteria, relevant data was extracted from all included studies, and the quality of included studies assessed. The first systematic review examined the literature on the prevalence of food allergy (IgE-mediated and non-IgE mediated) in different regions of the World and in individual European countries for different age groups in relation to each of the following food allergens: milk/dairy, eggs, cereals, peanuts, nuts, celery, crustaceans, fish, molluscs, soy, lupin, mustard and sesame. For each of these allergens changes in prevalence trends over time were also examined. Additionally, emerging food allergens in different European countries were identified. Of the 7333 articles identified by the searches, data from 92 studies was included, 52 of which reported on studies conducted within Europe. The second systematic review examined the effects of food processing on the allergenicity of foods in relation to each of the following food allergens: milk/dairy, eggs, cereals, peanuts, nuts, celery, crustaceans, fish, molluscs, soy, lupin, mustard and sesame. From 1040 articles identified by the searches, 25 studies were included in this review. The final systematic review examined the evidence regarding the new analytical methods available to analyse/detect the food allergens considered in the previous systematic reviews in processed foods. From 1475 articles identified by the searches, 84 studies were included
Temporal change in maternal dietary intake during pregnancy and lactation between and within two pregnancy cohorts assembled in the United Kingdom
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Different measures of dietary diversity during infancy and the association with childhood food allergy in a UK birth cohort study
Background: Diet diversity (DD) during infancy may prevent food allergies (FA), possibly by exposing the gastrointestinal microbiota to diverse foods and nutrients. Objective: To investigate the association between 4 different measures of DD during infancy and development of FA over the first decade of life. Methods: A birth cohort born between 2001 and 2002 were followed prospectively, providing information on sociodemographic, environmental, and dietary exposures. Information on age of introduction of a range of foods and food allergens was collected during infancy. Children were assessed for FA at 1, 2, 3, and 10 years. DD was defined using 4 measures in the first year of life: the World Health Organization definition of minimum DD at 6 months, as food diversity (FD) and fruit and vegetable diversity (FVD) at 3, 6, and 9 months, and as food allergen diversity (FAD) at 3, 6, 9, and 12 months. Results: A total of 969 pregnant women were recruited at 12-week gestation. A total of 900, 858, 891, and 827 offspring were assessed at 1, 2, 3, and 10 years. Univariate analysis showed that World Health Organization DD (P =.0047), FD (P =.0009), FAD (P =.0048), and FVD (P =.0174) at 6 months and FD (P =.0392), FAD (P =.0233), and FVD (.0163) at 9 months significantly reduced the odds of FA over the first decade of life. DD measures at 3 months were not associated with FA, but only 33% of the cohort had solid foods introduced by this age. Conclusion: Increased infant DD, as measured by 4 different methods, decreased the likelihood of developing FA.</p
Variations on the Author
“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
We 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
We 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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