Search Results

You are looking at 1 - 2 of 2 items for

  • Author: Priyanka D. Pandya x
Clear All Modify Search
Restricted access

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


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


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.


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.


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.

Restricted access

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


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.


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


Biomechanics laboratory.


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.


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


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