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Luana T. Rossato, Camila T.M. Fernandes, Públio F. Vieira, Flávia M.S. de Branco, Paula C. Nahas, Guilherme M. Puga, and Erick P. de Oliveira

during high-intensity exercises, and further studies are necessary. Thus, the aim of our study was to investigate the effect of CHO mouth rinse on time to exhaustion in a short duration and high-intensity exercise protocol performed on a treadmill. Methods Subjects Ten young recreationally active male

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Mahdis Dadfar and Foad Seidi

to investigate the immediate effects of an acute bout of SMR on hamstring and gastrocnemius muscles using a multirigid foam roll on postural sway and CoP displacement during four stance positions, JPS at 45° and 90°, and dynamic balance performance in healthy, recreationally active females. Method

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Alannah K.A. McKay, Trent Stellingwerff, Ella S. Smith, David T. Martin, Iñigo Mujika, Vicky L. Goosey-Tolfrey, Jeremy Sheppard, and Louise M. Burke

classification level as in elite sport, with the vast majority of the population being either sedentary or recreationally active; 2. Develop a continuum whereby all participants can be classified across a spectrum of exercise backgrounds and athletic abilities, from sedentary individuals through to world

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Jordan M. Glenn, Michelle Gray, Jennifer L. Vincenzo, and Matthew S. Stone

Muscular power decreases with age, and lower-body power relates to overall functional fitness; however, functional lower-body power has not been evaluated in late-middle-aged (LMA) populations.


To evaluate average and peak lower-body functional power and velocity among sedentary (SED), recreationally active (RA), and masters athlete (MA) LMA adults.


Participants were SED (n = 13, age = 59.3 ± 4.5 years), RA (n = 35, age = 59.6 ± 5.0 years), and MA (n = 26, age = 56.7 ± 5.4 years). Five sit-to-stand trials were completed to assess lower-body functional power. Average/peak power and velocity were calculated for each trial. Power was expressed relatively to account for participant body weight.


MA (13.44 ± 2.76 W/kg) had significantly (p < .01) greater peak power compared with SED (9.99 ± 2.70 W/ kg) and RA (9.93 ± 2.30 W/kg). Similar significant (p < .01) differences existed for peak velocity (SED = 1.02 ± 0.22 m/s, RA = 1.04 ± 0.22 m/s, MA = 1.25 ± 0.19 m/s). No differences existed for average power or velocity between groups.


Maintaining a competitively active lifestyle results in greater lower-body functional power in LMA adults and may support longitudinal functionality.

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Jordan M. Glenn, Jennifer Vincenzo, Collin K. Canella, Ashley Binns, and Michelle Gray

Gait speed predicts survival in older adults; however, gait has not been evaluated in late middle-aged (LMA) populations.


Evaluate single- and dual-task gait speeds among sedentary (SED), recreationally active (RA), and masters athlete (MA) LMA adults.


Participants were SED (n = 20, age = 61.0 ± 5.8), RA (n = 57, age = 63.5 ± 8.4), and MA (n = 25, age = 57.5 ± 7.9). Two trials of each task (10 m) were completed: habitual speed (HS), maximal speed (MS), dual-task (counting backward from a number by 3) habitual speed (DT-HS), and dual-task maximal speed (DT-MS).


MA (2.08 ± 0.63 m/s) had significantly (p < .05) greater MS compared with SED (1.94 ± 0.30 m/s) and RA (1.99 ± 0.53 m/s). Similar differences existed for DT-MS (SED = 1.77 ± 0.32 m/s, RA = 1.80 ± 0.51 m/s, MA = 1.89 ± 0.63 m/s). MA had smaller MS and DT-MS changes (difference between MS and DT-MS speeds) compared with RA (12%) and SED (13%).


Maintaining a competitively active lifestyle increases MS in LMA adults and may support healthy aging.

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Thomas M. Maden-Wilkinson, Jamie S. McPhee, David A. Jones, and Hans Degens

To investigate reasons for the age-related reduction in physical function, we determined the relationships between muscle size, strength, and power with 6-min walk distance (6MWD) and timed up-and-go performance in 49 young (23 ± 3.1 years) and 66 healthy, mobile older adults (72 ± 5 years). While muscle mass, determined by DXA and MRI, did not correlate with performance in the older adults, power per body mass, determined from a countermovement jump, did correlate. The 40% lower jumping power observed in older adults (p < .05) was due to a lower take-off velocity, which explained 34% and 42% of the variance in 6MWD in older women and men, respectively (p < .01). The lower velocity was partly attributable to the higher body mass to maximal force ratio, but most was due to a lower intrinsic muscle speed. While changes in muscle function explain part of the age-related reduction in functional performance, ~60% of the deficit remains to be explained.

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Mia A. Schaumberg, Lynne M. Emmerton, David G. Jenkins, Nicola W. Burton, Xanne A.K. Janse de Jonge, and Tina L. Skinner

investigate the prevalence of and reasons for menstrual manipulation with OC in young physically active women and group differences between recreationally active, subelite recreationally active, and competitive athletic women. Understanding how and why physically active women choose to use OCs for menstrual

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Marcus Colon, Andrew Hodgson, Eimear Donlon, and James E.J. Murphy

moderate-intensity exercise. Methods Subjects and Experimental Design Seven competitive male TA and seven recreationally active (RA) males participated in this study, following informed consent. All participants were nonsmokers and in good health. All participants were recruited by e-mail advertisement

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Austin T. Robinson, Adriana Mazzuco, Ahmad S. Sabbahi, Audrey Borghi-Silva, and Shane A. Phillips

; Franklin et al., 2014 , 2015 ; Phillips et al., 2011 ; Robinson et al., 2016 ). Supplement users tend to be recreationally active (i.e., engage in exercise multiple times per week). Thus, they are likely protected against transient acute resistance exercise-induced endothelial dilator dysfunction

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Rena F. Hale, Sandor Dorgo, Roger V. Gonzalez, and Jerome Hausselle

angle (in degrees) and (B) center-of-pressure location (percentage of the shoe length) with respect to the heel of the shoe. Methods A total of 42 healthy, recreationally active males from the Engineering and Computer Science departments of The University of Texas at El Paso were recruited to