High-intensity interval running is perceived to be more enjoyable than moderate-intensity continuous exercise: Implications for exercise adherence

Abstract

The aim of this study was to objectively quantify ratings of perceived enjoyment using the Physical Activity Enjoyment Scale following high-intensity interval running versus moderate-intensity continuous running. Eight recreationally active men performed two running protocols consisting of high-intensity interval running (6×3 min at 90% [Vdot]O_2max interspersed with 6×3 min active recovery at 50% [Vdot]O_2max with a 7-min warm-up and cool down at 70% [Vdot]O_2max) or 50 min moderate-intensity continuous running at 70% [Vdot]O_2max. Ratings of perceived enjoyment after exercise were higher (P < 0.05) following interval running compared with continuous running (88 ± 6 vs. 61 ± 12) despite higher (P < 0.05) ratings of perceived exertion (14 ± 1 vs. 13 ± 1). There was no difference (P < 0.05) in average heart rate (88 ± 3 vs. 87 ± 3% maximum heart rate), average [Vdot]O₂ (71 ± 6 vs. 73 ± 4%[Vdot]O_2max), total [Vdot]O₂ (162 ± 16 vs. 166 ± 27 L) or energy expenditure (811 ± 83 vs. 832 ± 136 kcal) between protocols. The greater enjoyment associated with high-intensity interval running may be relevant for improving exercise adherence, since running is a low-cost exercise intervention requiring no exercise equipment and similar relative exercise intensities have previously induced health benefits in patient populations.     

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.     

Listening differently: A pedagogy for expanded listening

Mainstream education promotes a narrow conception of listening, centred on the reception and comprehension of human meanings. As such, it is ill‐equipped to hear how sound propagates affects, generates atmospheres, shapes environments and enacts power. Yet these aspects of sound are vital to how education functions. We therefore argue that there is a need to expand listening in education, and suggest that listening walks could provide a pedagogy for this purpose. Using interview data in which early years practitioners reflect on a listening walk, we show how the method can: (i) produce heightened multisensory experiences of spaces; (ii) generate forms of difficulty and discomfort that produce new learning; and (iii) influence practice, particularly practitioners’ ability to empathise with young children. Listening walks function by disrupting everyday sensory habits, provoking listeners to listen anew to their own listening, in an open‐ended way that is not tied to predetermined learning outcomes. The method therefore has wider pedagogic potential for rethinking education and childhood beyond rationality, representation and meaning.     

Spurious Latent Classes in the Mixture Rasch Model

Mixture Rasch models have been used to study a number of psychometric issues such as goodness of fit, response strategy differences, strategy shifts, and multidimensionality. Although these models offer the potential for improving understanding of the latent variables being measured, under some conditions overextraction of latent classes may occur, potentially leading to misinterpretation of results. In this study, a mixture Rasch model was applied to data from a statewide test that was initially calibrated to conform to a 3‐parameter logistic (3PL) model. Results suggested how latent classes could be explained and also suggested that these latent classes might be due to applying a mixture Rasch model to 3PL data. To support this latter conjecture, a simulation study was presented to demonstrate how data generated to fit a one‐class 2‐parameter logistic (2PL) model required more than one class when fit with a mixture Rasch model.