1,720,966 research outputs found
Prevalence and predictors of sufficient physical activity using socio-ecological model among first-year undergraduate students of a University in Nigeria
Introduction: The benefits of adopting regular and consistent physical activity as a lifestyle has been well documented. Research shows that regular participation in physical activity reduces the risk of chronic non-communicable diseases such as Type 2 diabetes mellitus, cardiovascular disease, some types of cancer and obesity. However, several studies have reported that physical activity begins to decrease in young adulthood when people transition from high school into the university. Studies have also reported that Nigerian university students do not engage in sufficient levels of physical activity required to gain the health benefits associated with being physically active. Physical activity is a health behavior that is determined by the interaction of various factors which may act as facilitators or barriers to being physically active. Thus, examining the multilevel determinants of physical activity using the socio-ecological model is an important prerequisite for designing relevant policies and effective health promotion programs aimed at increasing physical activity participation among Nigerian university students. Objective: This study was conducted to determine the prevalence and predictors of sufficient physical activity using the socio-ecological model among first-year undergraduate students of the University of Uyo, Nigeria. Methodology: A cross-sectional study was conducted in the University of Uyo in Akwa Ibom State, Nigeria. A total of 386 first-year undergraduate students were selected using a multistage sampling method. Data was collected on physical activity and associated factors among first-year undergraduate students from July to September 2015 using a self-administered questionnaire. The International Physical Activity Questionnaire (IPAQ) was used to assess physical activity levels of respondents. Respondents whose activity level was equal to or above 600MET-minutes/week were regarded as being sufficiently physically active. Descriptive analysis, chi-square tests and multiple logistic regression were conducted. Significant levels were set at p-value of <0.05 and 95% CI. Results: The response rate for this study was 88.6%. It was observed that 93.6% of the respondents were sufficiently physically active. Multiple logistic regression revealed that respondents belonging to the Ibibio ethnicity were more likely to be sufficiently physically active when compared to others (Adjusted OR = 3.510, 95% CI = 1.382, 8.916). Also, underweight and overweight respondents were less likely to be sufficiently physically active compared to those that were normal (Adjusted OR = 0.198, 95% CI = 0.064, 0.613 and Adjusted OR = 0.240, 95% CI = 0.077, 0.750 respectively). Furthermore, respondents who reported that there were school facilities for indoor recreation and that the school had an enjoyable scenery were more likely to be sufficiently physically active (Adjusted OR = 3.003, 95% CI = 1.179, 7.649 and Adjusted OR = 2.787, 95% CI = 1.074, 7.234 respectively). Conclusion: The findings of the study revealed that majority of the surveyed first-year undergraduate students of the University of Uyo demonstrated sufficient levels of physical activity over the course of seven days. Socio-ecological factors associated with physical activity that have been identified in this study can serve as additional information to aid in the development of interventions that would sustain high physical activity levels among university students
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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