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  • Author: Priyanka D. Pandya x
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Kaelin C. Young, Kristina L. Kendall, Kaitlyn M. Patterson, Priyanka D. Pandya, Ciaran M. Fairman and Samuel W. Smith

Purpose:

To assess changes in body composition, lumbar-spine bone mineral density (BMD), and rowing performance in collegelevel rowers over a competition season.

Methods:

Eleven Division I college rowers (mean ± SD 21.4 ± 3.7 y) completed 6 testing sessions throughout the course of their competition season. Testing included measurements of fat mass, bone-free lean mass (BFLM), body fat (%BF), lumbar-spine BMD, and 2000-m time-trial performance. After preseason testing, rowers participated in a periodized training program, with the addition of resistance training to the traditional aerobic-training program.

Results:

Significant (P < .05) improvements in %BF, total mass, and BFLM were observed at midseason and postseason compared with preseason. Neither lumbar-spine BMD nor BMC significantly changed over the competitive season (P > .05). Finally, rowing performance (as measured by 2000-m time and average watts achieved) significantly improved at midseason and postseason compared with preseason.

Conclusion:

Our results highlight the efficacy of a seasonal concurrent training program serving to improve body composition and rowing performance, as measured by 2000-m times and average watts, among college-level rowers. Our findings offer practical applications for coaches and athletes looking to design a concurrent strength and aerobic training program to improve rowing performance across a season.

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Jeremy A. Patterson, Ryan Z. Amick, Priyanka D. Pandya, Nils Hakansson and Michael J. Jorgensen

Context:

The most widely used method for postural balance assessment relies on the subjective observations of a test administrator. Accelerometry has been shown to provide a valid and reliable method for assessment of balance, and recent advances in microelectromechanical systems have made the technology available in mobile electronic devices.

Objective:

To compare a mobile technology application with a commonly used subjective balance assessment.

Setting:

Biomechanics laboratory.

Participants:

Twenty-one nonathlete college-aged individuals (7 men, 14 women; mean age 23 ± 3 years) volunteered to participate. Subjects were excluded if they reported any preexisting condition that might affect postural balance.

Results:

A strong inverse correlation was found between the scores for the two balance assessment methods (r = -.767, p < .01).

Conclusions:

Advances in technology have provided an attractive means to objectively quantify postural balance with off-the-shelf mobile consumer electronic devices.