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Zachary Zenko, Panteleimon Ekkekakis and Dan Ariely

There is a paucity of methods for improving the affective experience of exercise. We tested a novel method based on discoveries about the relation between exercise intensity and pleasure, and lessons from behavioral economics. We examined the effect of reversing the slope of pleasure during exercise from negative to positive on pleasure and enjoyment, remembered pleasure, and forecasted pleasure. Forty-six adults were randomly assigned to a 15-min bout of recumbent cycling of either increasing intensity (0–120% of watts corresponding to the ventilatory threshold) or decreasing intensity (120–0%). Ramping intensity down, thereby eliciting apositive slope of pleasure during exercise, improved postexercise pleasure and enjoyment, remembered pleasure, and forecasted pleasure. The slope of pleasure accounted for 35–46% of the variance in remembered and forecasted pleasure from 15 min to 7 days postexercise. Ramping intensity down makes it possible to combine exposure to vigorous and moderate intensities with a pleasant affective experience.

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Jasmin C. Hutchinson, Zachary Zenko, Sam Santich and Paul C. Dalton

having similar mean affective responses during exercise, the decreasing intensity group reported more positive postexercise pleasure, remembered pleasure, forecasted pleasure, and enjoyment of exercise. Based upon the contributions of Focht et al. ( 2015 ), Greene and Petruzzello ( 2015 ), and Zenko et

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Anna Sverdlik, Robert J. Vallerand, Ariane St-Louis, Michael Sam Tion and Geneviève Porlier

, & Lavigne, 2009 , Study 2). Finally, some scientists have begun to explore the role of passion in the use of future temporal processes, such as affective forecasting. Wilson and Gilbert ( 2003 ) defined affective forecasting as the ability to predict how one will feel in a future situation. Their research

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Tania Pereira, John Durocher and Jamie Burr

physical demand of snowmobiling. Using the linear regression of HR and VO 2 established during the graded exercise test, the expected HR while riding was forecast using the riding VO 2 and compared with the concurrently measured HR to determine offset. Muscular Strength and Power Strength and power tests

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Kayla J. Nuss, Joseph L. Sanford, Lucas J. Archambault, Ethan J. Schlemer, Sophie Blake, Jimikaye Beck Courtney, Nicholas A. Hulett and Kaigang Li

Over the last several years, wearable devices, such as the Apple Watch, have become ubiquitous. It was estimated that worldwide sales will exceed 14.7 billion U.S. dollars by 2026 ( “Fitness App 2019 Global Market Net Worth US$ 14.7 billion Forecast By 2026 - MarketWatch,” 2019 ). Two features that

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Sasha A. Fleary, Robin Mehl and Claudio Nigg

input in early drafts. This project was funded by the Hawaii Medical Service Association, an Independent Licensee of the Blue Cross Blue Shield Association. References 1. Reither EN , Olshansky SJ , Yang Y . New forecasting methodology indicates more disease and earlier mortality ahead for

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Tanya R. Berry, Wendy M. Rodgers, Alison Divine and Craig Hall

forecasting (i.e., predicting how you will feel about a situation in the future); such forecasting is based exclusively on explicit evaluations even though implicit evaluations are also an important factor in how one feels ( Shoda et al., 2014b ). Brand and Ekkekakis ( 2017 ) also argue that implicit

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Charlotte L. Edwardson, Melanie Davies, Kamlesh Khunti, Thomas Yates and Alex V. Rowlands

.014 Statista Website [Internet] . ( 2017a ). Forecast unit sales of wearables worldwide by category from 2014 to 2016 (in millions) . Retrieved from Statista Website [Internet] . ( 2017b ). Facts on wearable technology

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Simone Pettigrew, Elissa Burton, Kaela Farrier, Anne-Marie Hill, Liz Bainbridge, Gill Lewin, Phil Airey and Keith Hill

Worldwide, the facilitation of healthy aging is a policy priority in an attempt to manage the substantial growth in health system costs forecast to result from population aging ( World Health Organization, 2015 ). Physical activity is critical to healthy aging, and strength training is a

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Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson

. , Chansin , G. , & Zervos , H. ( 2017 ). Wearable Technology 2017-2027: Markets, Players, Forecasts . Retrieved from Hickey , A. , John , D. , Sasaki , J.E. , Mavilia , M. , & Freedson