1,720,959 research outputs found

    Exploring the interplay between job strain and different domains of physical activity on the incidence of coronary heart disease in adult men

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    Aims The aim of this study was to investigate the independent associations of occupational (OPA) and sport physical activity (SpPA) and job strain on the incidence of coronary heart disease (CHD) events, and to explore their interplay. Methods The study sample included 3310 25-64-year-old employed men, free of CHD at baseline, recruited in three population-based and one factory-based cohorts. OPA and SpPA, and job strain were assessed by the Baecke and the Job Content Questionnaires, respectively. We estimated the associations between different domains of physical activity and job strain with CHD, adjusting for major risk factors using Cox models. Results During follow-up (median=14 years), 120 CHD events, fatal and non-fatal, occurred. In the entire sample, a higher CHD risk was found for high job strain (hazard ratio=1.55, 95% confidence interval: 1.05-2.31). The joint effect of low OPA and high job strain was estimated as a hazard ratio of 2.53 (1.29-4.97; reference intermediate OPA with non-high strain). With respect to intermediate OPA workers, in stratified analysis when SpPA is none, low OPA workers had a hazard ratio of 2.13 (95% confidence interval: 1.19-3.81), increased to 3.95 (1.79-8.78) by the presence of high job strain. Low OPA-high job strain workers take great advantage from SpPA, reducing their risk up to 90%. In contrast, the protective effect of SpPA on CHD in other OPA-job strain categories was modest or even absent, in particular when OPA is high. Conclusions Our study shows a protective effect of recommended and intermediate SpPA levels on CHD risk among sedentary male workers. When workers are jointly exposed to high job strain and sedentary work their risk further increases, but this group benefits most from regular sport physical activity

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Variations on the Author

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    “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

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    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

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    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

    Author Index

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