Dress for fit: An exploration of female activewear consumption

While the female activewear market is growing rapidly, research on activewear consumption and female consumers is lagging. Existing researchers have failed to produce an in-depth understanding of female consumers’ perceptions of activewear, thereby providing limited insights for the activewear industry. Drawing upon brand association theory and the functional, expressive, and aesthetic model, the authors identify important attributes of activewear brands and how attributes lead to benefits pursued by female activewear consumers. Focus groups were conducted with 72 female activewear consumers in Australia. Findings reveal three product-related attributes (functional design, colour, and size and fit) and two non-product-related attributes (price and model imagery) influence the fulfillment of four benefits (mood enhancement, exercise facilitation, healthy and active lifestyle, and physical fit body image). This research contributes theoretical and empirical knowledge about activewear consumption and the vertical structure of brand associations. Findings of this research can help activewear brands deliver benefits to female consumers through improved product designs and marketing strategies.     

Using transdisciplinary research to examine talent identification and development in sport

Abstract

Effective sport talent identification and development (TID) programmes are integral to a nation’s success in international sport. Using a transdisciplinary approach that involved sport practitioners and researchers with diverse theoretical perspectives, we investigated TID factors in four Australian sports (Australian rules football, cricket, kayaking and tennis). A transdisciplinary approach allowed us to isolate and explore a range of factors critical to successful sport TID. This methodological article explores how this project moved TID research beyond its paradigmatic, quantitative, sport science lens and advanced knowledge and practice in TID from both theoretical and applied perspectives. The use of a transdisciplinary approach in future TID research is recommended.     

Tracking Club Sport Participation From Childhood to Early Adulthood

This study examined the strength of tracking sport participation from childhood to early adulthood among the Dunedin Multidisciplinary Health and Development Study cohort. Participation in sport, dance, or gymnastics as part of a club or group (outside of school) was assessed at ages 7, 9, 15, 18, and 21 years. In addition to the traditionally used correlation coefficients, summary statistics (intraclass correlations; ICC) from random effect models and stability coefficients from generalized estimating equations (GEE) were calculated using all the longitudinal data and controlling for the influence of covariates on tracking strength. Correlation coefficients revealed statistically significant tracking of club sport participation (7–21 years) at low levels (r = .07–0.28). The ICC summary statistic (0.23) was consistent with this, while the GEE suggested moderate tracking (0.59). The results of this study suggest that encouraging sport participation during childhood and adolescence may result in a modest increase in the likelihood of participation later in life. However, the substantial movement into and out of sport participation observed here and in other studies cautions against relying solely on sport promotion among youth as a strategy to promote lifelong participation.     

Data Mining in Elite Sports: A Review and a Framework

Sophisticated data analytical methods such as data mining, where the focus is upon exploration and developing new insights, are becoming increasingly useful tools in analysing elite sports performance data and supporting decision making that is crucial to gaining success. In this article, we investigate the different data mining demands of elite sports with respect to a number of features that describe sport competitions. The aim is to more structurally connect the sports and data mining domains through: (a) describing a framework for categorizing elite sports, and (b) understanding the analytical demands of different performance analysis problems. Therefore, we review different aspects such as sport categories and performance analysis requirements that influence each stage in sports data mining. We also present a model bringing together performance analysis requirements, data mining methods, data mining techniques, and technique characteristics. This will assist both data scientists and sport professionals to more effectively collaborate and contribute to success in elite sport events.     

Skiing‐Skating

An articulated boot design is commonly used in skiing and skating sports because it allows sagittal plane ankle mobility while still providing critical frontal plane stability. Although articulated boots have been in use for several decades, current manufacturers of these boots differ in their articulation placement. In this study we determined an optimal position of the ankle articulation axis. We also calculated the amount of anterior skin movement that a boot tongue must account for during a full range of ankle motion. Three‐dimensional kinematic data were collected and analyzed from 40 participants moving their right foot through a full range of sagittal plane motion. The calculated horizontal position of the articulation axis was found to be highly predictable from foot length (r = 0.87, standard error of estimate = 3.44 mm), while its vertical component displayed less predictability (r = 0.49, standard error of estimate = 7.46 mm). The expansion required by the boot tongue had a moderate association with foot length and low variability (r = 0.58, standard error of estimate = 0.07 mm). An accurate axis placement will minimize relative motion between the boot cuff and the ankle, reducing friction and motion resistance. An expandable tongue will accommodate full plantar flexion and reduce pressure on the anterior ankle during dorsiflexion, eliminating common pressure‐related injuries.     

How to Save the World and Other Lessons from Children’s Environmental Literature

This article argues that most contemporary children’s environmental picture books and easy readers published in the United States focus overwhelmingly on individual environmentalist acts and lifestyle changes, overlook the connections between environmental degradation and systemic social problems such as class disparities, and ultimately over-simplify environmental crisis. They typically encourage children to adopt environmentalist behaviors such as recycling that can be performed by individuals or families in the home, school, and local community, but do little to encourage civic engagement that would call into attention the intertwined ideological, economic, and political factors preventing profound environmental change. The analysis then examines several books that notably do inform readers about the larger political and economic issues and place a strong emphasis on environmental justice, a type of environmentalism deeply concerned with issues of race, class, gender, and economic inequality. Such texts are more likely to encourage an environmentalism that combines lifestyle and consumer choices with political activism. We need more books like this, as children’s texts that resign environmental action almost completely to individual choices and behaviors and disassociate environmental crises from their larger constitutive contexts do little to prepare young people for the socio-environmental challenges we face now and in the future.