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Marie-Pier McSween, Katie L. McMahon, Kylie Maguire, Jeff S. Coombes, Amy D. Rodriguez, Kirk I. Erickson, and David A. Copland

exercise intensity levels on cognitive functions of healthy older adults. Findings from Kamijo et al. ( 2009 ) showed shorter reaction times in a modified version of the Flanker task ( Eriksen & Eriksen, 1974 ) for older adults who had performed a moderate-intensity cycling bout (50% VO 2 max) prior to

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Gethin H. Evans, Phillip Watson, Susan M. Shirreffs, and Ronald J. Maughan

Previous investigations have suggested that exercise at intensities greater than 70% maximal oxygen uptake (VO2max) reduces gastric emptying rate during exercise, but little is known about the effect of exercise intensity on gastric emptying in the postexercise period. To examine this, 8 healthy participants completed 3 experimental trials that included 30 min of rest (R), low-intensity (L; 33% of peak power output) exercise, or high-intensity (H; 10 × 1 min at peak power output followed by 2 min rest) exercise. Thirty minutes after completion of exercise, participants ingested 595 ml of a 5% glucose solution, and gastric emptying rate was assessed via the double-sampling gastric aspiration method for 60 min. No differences (p > .05) were observed in emptying characteristics for total stomach volume or test meal volume between the trials, and the quantity of glucose delivered to the intestine did not differ between trials (p > .05). Half-emptying times did not differ (p = .902) between trials and amounted to 22 ± 9, 22 ± 9, and 22 ± 7 min (M ± SD) during the R, L, and H trials, respectively. These results suggest that exercise has little effect on postexercise gastric emptying rate of a glucose solution.

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Darren C. Treasure and David M. Newbery

This study examined the relationship between self-efficacy, exercise intensity, and feeling states in a sedentary population during and following an acute bout of exercise. Sixty sedentary participants were randomly assigned to either a moderate-intensity (45-50% age predicted Heart Rate Reserve; HRR), high-intensity exercise (70-75% HRR) group, or a no-exercise attention control group. Participants in both exercise groups experienced changes in feeling states across the course of the exercise bout. The moderate-intensity group reported more positive and fewer negative feeling states both during and after exercise than the high-intensity group. Participants in both exercise conditions were significantly more positively engaged than the attention-control group postexercise. Consistent with social cognitive theory (Bandura, 1986, 1997), the reciprocal determined relationship between self-efficacy and feeling states was found to be strongest in the high intensity exercise condition.

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Ilkka Heinonen, Jukka Kemppainen, Toshihiko Fujimoto, Juhani Knuuti, and Kari K. Kalliokoski

the total dose of this glucose analog ( Zoch et al., 2016 ). However, it is currently unknown whether bone marrow GU increases further with increased exercise intensities. In the present study, we therefore analyzed previously collected data ( Heinonen et al., 2012 ) for changes in bone marrow GU with

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Erreka Gil-Rey, Kevin C. Deere, Sara Maldonado-Martín, Natalia Palacios-Samper, Agueda Azpeitia, Esteban M. Gorostiaga, and Jon H. Tobias

randomly selected participants performed two additional exercise tests. First, they repeated the IST wearing the same accelerometer on a treadmill ergometer (Hyper Treadmill 2040, Hyper Treadmill, Kuntaväline, Finland) with continuous gas exchange analysis to relate recommended exercise intensities (in

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Teun van Erp, Marco Hoozemans, Carl Foster, and Jos J. de Koning

. By using IF rather than absolute power, TSS becomes a metric normalized to the level of each athlete. As shown in Equation  4 , TSS has a quadratic relationship with exercise intensity. Internal TL can also be quantified by relative VO 2 consumption, which is linearly related to relative HR and RPE

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Ali M. McManus, Nathan R. Sletten, and Daniel J. Green

procedures to be used in the study. The sample size was based on related research on the effects of exercise intensity on FMD ( 9 ). We estimated that a 2% change in FMD would be detected with 10 participants (assuming a SD of 2%) with statistical power of 80%. Ethical Approval This study was approved by the

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Samuel T. Howe, Robert J. Aughey, William G. Hopkins, and Andrew M. Stewart

Power law analysis has been recently applied in professional soccer 1 , 2 and in rugby league 3 to quantify peak intensities and the rate of decline of peak exercise intensity as a function of time during competition 1 and training. 2 Power law analysis has also been used to assess youth soccer

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Thomas Losnegard, Sondre Skarli, Joar Hansen, Stian Roterud, Ida S. Svendsen, Bent R. Rønnestad, and Gøran Paulsen

Endurance training is tailored to the athlete’s goals by manipulating exercise intensity, duration, and frequency to achieve the desired training load. While duration and frequency are straightforward to plan, execute, and evaluate, intensity is inherently more complicated. 1 , 2 Several

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Sanaz Nosrat, James W. Whitworth, Nicholas J. SantaBarbara, Shira I. Dunsiger, and Joseph T. Ciccolo

and decreases in anxiety and tension with only a single bout of exercise ( Ekkekakis, Parfitt, & Petruzzello, 2011 ). In addition, research has consistently shown that the direction and magnitude of the affective response to an acute bout of exercise are moderated by the exercise intensity. More