1,720,954 research outputs found
Body Composition and Self-Image: Exploring the Impact on Exercise Motivation and Behavior
No full textThis study examines the relationship between body composition, self-image, and exercise motivation among college students. With growing concerns about physical and mental well-being, understanding how individuals perceive their bodies and how these perceptions influence exercise behaviors is crucial. Using a mixed-methods approach, data were collected through self-reported surveys measuring body satisfaction, exercise frequency, and motivational factors, alongside objective body composition metrics. Statistical analyses conducted using JASP revealed significant associations between negative body image and appearance-driven exercise motivation (r = 0.331, p \u3c .001), while positive self-image correlated more strongly with intrinsic, health-related goals such as stress management (r = 0.378, p \u3c .001) and enjoyment of physical activity (r = 0.331, p \u3c .001). These findings highlight the psychological dimensions of exercise behavior and suggest that fostering body positivity may encourage more sustainable, health-centered fitness habits. This research contributes to the broader conversation about mental health and physical activity, offering insights for healthcare providers, fitness professionals, and educators working to support student wellness
Body Composition and Self-Image: Exploring the Impact on Exercise Motivation and Behavior
No full textThis study examines how self-perception and body composition (body fat percentage, lean mass, etc.) influence psychological and behavioral outcomes among college students. The research explores how body composition metrics are related to psychological factors such as stress management, enjoyment of physical activity, and leisure activity, and how appearance scores, as a reflection of self-perception, influence these outcomes. Drawing on a sample of 100 undergraduates from Eastern Kentucky University, data were collected through self-reported surveys measuring body satisfaction, exercise frequency, and motivational factors, alongside objective body composition metrics. Statistical analyses revealed that higher appearance scores were associated with better stress management (r = 0.378, p \u3c .001) and greater enjoyment of physical activity (r = 0.331, p \u3c .001), but not with leisure activity (r = 0.104, p = 0.162). Higher body fat percentage was linked to lower stress management and enjoyment, while greater lean mass correlated positively with leisure activity. These findings highlight the role of self-perception and body composition in shaping psychological well-being and behavior. The results suggest that fostering a positive self-image and healthy body composition could enhance mental well-being and promote physical activity. This research contributes to the broader conversation about mental health and exercise motivation, offering insights for healthcare providers, fitness professionals, and educators working to support student wellness
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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