Analgesics use in competitive triathletes: its relationship to doping and on predicting its usage

The two major objectives of this study were (i) to assess variables that predict the use of analgesics in competitive athletes and (ii) to test whether the use of analgesics is associated with the use of doping. A questionnaire primarily addressing the use of analgesics and doping was distributed among 2,997 triathletes. Binary logistic regression analysis was performed to predict the use of analgesics. Moreover, the randomised response technique (RRT) was used to estimate the prevalence of doping in order to assess whether users of analgesics have a higher potential risk for doping than non-users. Statistical power analyses were performed to determine sample size. The bootstrap method was used to assess the statistical significance of the prevalence difference for doping between users and non-users of analgesics. Four variables from a pool of 16 variables were identified that predict the use of analgesics. These were: “version of questionnaire (English)”, “gender (female)”, “behaviour in case of pain (continue training)”, and “hours of training per week (>12 h/week)”. The 12-month prevalence estimate for the use of doping substances (overall estimate 13.0%) was significantly higher in athletes that used analgesics (20.4%) than in those athletes who did not use analgesics (12.4%). The results of this study revealed that athletes who use analgesics prior to competition may be especially prone to using doping substances. The predictors of analgesic use found in the study may be of importance to prepare education material and prevention models against the misuse of drugs in athletes.     

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Motivational interference in learning: The impact of leisure alternatives on subsequent self-regulation

Students are often obliged to fulfill home assignments for school. While being engaged into such compulsory schooling, learners may be tempted to switch to a leisure alternative. Whenever students pursue the learning task although attractive leisure alternatives are present, thoughts about the missed activity can lead to motivational interference. Thus, self-regulation in learning does not only depend on the learning task itself but also on the dismissed alternatives. In a questionnaire study 704 students (mean age: 13.5) were confronted with hypothetical conflicts between a school activity and a leisure activity. The students envisioned themselves in the course of both activities after the decision. As predicted, self-reported self-regulation depended on the valences of both activities. High valence of the performed activity was related to better self-regulation, whereas high valence of the alternative activity resulted in worse self-regulation.     

Multimodal design,learning and cultures of recognition

In this article, a design-oriented, multimodal understanding of learning will be outlined. There seems to be a need for a new conceptualisation of learning in an era characterised by an increasing virtual space, blended media and new communicative patterns. This means a broader understanding of learning, and a theoretical understanding of transformational and interactive processes, where meaning-making, the role of agency, and what is seen as proper representations and as signs of learning in a cultural context are central issues.     

The Effect of Data Analysis Modules in the Introductory Sociology Course: Lessons for the Social Sciences

This article offers an evaluation of the implementation of the American Sociological Association's Integrating Data Analysis Project in a large introductory sociology course. This project was designed following an examination of the curricula of 13 disciplines that revealed that sociology failed to integrate empirical, quantitative literacy components throughout the undergraduate curriculum. Thus, efforts to introduce students to data analysis early and often were established as a best practice in the discipline. Results revealed that the students found the modules helped them understand the empirical nature of sociology. The students expressed an interest in participating in future research projects in sociology and/or other disciplines. They were not overly anxious about the quantitative literacy components of the course. Including on-line data analysis strategies using publicly available data and complimentary software represent cost and time-effective methods of introducing quantitative literacy into the social science classroom. Many social and behavioral sciences other than sociology have also discovered that their students lack a clear understanding of the relationship between empirical research and substantive topics within the discipline. Consequently, the lessons learned from the efforts of the ASA could be applied across many disciplines to form a more cohesive curriculum for many disciplines.The author holds an M.A. and Ph.D. in sociology from the University of North Texas and a B.A. from Stephen F. Austin State University. She is currently an Associate Professor of sociology in the Department of Sociology and Anthropology at the University of Central Florida. Her teaching and research interests include the scholarship of teaching and learning, the sociology of social inequalities (aging, race and ethnicity, gender, and social class), medical sociology, and family violence.