1,721,005 research outputs found
The importance of gender to understand sex differences in cardiovascular disease
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. There is robust evidence of heterogeneity in underlying mechanism, manifestation, prognosis and response to treatment of CVD between males and females. Gender, which refers to the socially constructed roles, behaviors, expressions, and identities of individuals, is an important determinant of cardiovascular health and its consideration might help for a broader understanding of the observed sex differences in CVD. Established risk factors such as hypertension, dyslipidemia, diabetes mellitus, obesity and smoking are well known to contribute to CVD. However, despite the differences in CVD risk between males and females, most studies looking into the magnitude of effect of each risk factor have traditionally focused on males. While biological sex influences disease pathophysiology, the psycho-socio-cultural construct of gender can further interact with this effect. Behavioural, psychosocial, personal, cultural and societal factors can create, repress, or strengthen underlying biological CV health differences. Although mechanisms of action are largely unclear, it is suggested that gender related factors can further exacerbate the detrimental effect of established risk factors of CVD. In this narrative review we explore the current literature investigating the role of gender in CV risk and its impact upon established risk factors as a fundamental step toward precision medicine
The role of sex and gender in hypertension
Hypertension (HTN) is a critical primary modifiable risk factor for the development of cardiovascular diseases, with recognized sex-based differences. While sex refers to one's biological genetic makeup and attributes, gender encompasses the individual's psycho-socio-cultural characteristics, including their environment and living conditions. The impact of each gendered variable may differ amongst men and women with respect to HTN. Applying a sex and gender-based lenses to inform our understanding of HTN has the potential to unveil important contributors of HTN-related cardiovascular outcomes. For instance, increased life stressors, work related anxiety and depression, typically have more pronounced effect on women than men with HTN. The impact of social surrounding including marital status and social support on HTN also differs amongst men and women. While married men are less likely to have higher blood pressure, single women, and those who never married are less likely to have HTN. Additionally, the beneficial role of social support is more pronounced in more historically marginalized cultural groups compared to majority. Finally, socioeconomic status, including education level and income have a linear and inverse relationship in blood pressure control in more resource-rich countries. The aim of this review is to summarize how sex and gender interact in shaping the clinical course of HTN demonstrating the importance of both sex and gender in HTN risk and its treatment. Hence, when investigating the role of gendered factors in HTN it is imperative to consider cultural, and social settings. In this narrative we found that employment and education play a significant role in manifestation and control of HTN particularly in women
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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