Avinash Chandran
George Washington University
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Publication
Featured researches published by Avinash Chandran.
American Journal of Sports Medicine | 2016
Avinash Chandran; Mary J. Barron; Beverly Westerman; Loretta DiPietro
Background: A number of sociocultural and environmental changes have occurred over the past several decades that may affect the risk of injury among young athletes playing soccer. Purpose: To identify trends in injury incidence and severity between 2 time periods (1990-1996 and 2004-2009) in both male and female National Collegiate Athletic Association (NCAA) soccer players in the United States. Design: Descriptive epidemiology study. Methods: Data were analyzed from the NCAA Injury Surveillance System. The rate ratio (RR), along with the 95% Wald CI, compared incidence density in 2004-2009 relative to that in 1990-1996. Results: Overall sex-pooled injury rates were significantly lower in the 2004-2009 cohort compared with the 1990-1996 cohort (RR = 0.88; 95% CI = 0.86-0.91), and this was true for almost every category of injury studied. We observed only 1 significant sex difference between the time periods with regard to noncontact injuries, as men experienced a significant increase in rate of noncontact injuries between 1990-1996 and 2004-2009 (RR = 1.09; 95% CI = 1.02-1.17), whereas women experienced a significant decrease (RR = 0.70; 95% CI = 0.67-0.75). Conclusion: These surveillance data show decreasing trends in collegiate soccer injuries. Whether these decreases are attributable to greater resources being allocated toward athlete health, injury management, or the safety of the playing environment cannot be determined. Given the prominence of soccer play in the United States, public health efforts should promote the use of this surveillance system to better inform and evaluate injury prevention practices and policies directed toward player safety.
Communications in Statistics - Simulation and Computation | 2016
Avinash Chandran; Derek Brown; Jerome Danoff; Loretta DiPietro
Techniques used in variability assessment are subsequently used to draw conclusions regarding the “spread”/uniformity of data curves. Due to the limitations of these techniques, they are not adequate for circumstances where data manifest with multiple peaks. Examples of these manifestations (in three-dimensional space) include under-foot pressure distributions recorded for different types of footwear (Becerro-de-Bengoa-Vallejo et al., 2014; Cibulka et al., 1994; Davies et al., 2003), surface textures and interfaces designed to impact friction, and and and molecular surface structures such as viral epitopes (Torras and Garcia-Valls, 2004; Pacejka, 1997; Fustaffson, 1997). This article proposes a technique for generating a single variable – Λ that will quantify the uniformity of such surfaces. We define and validate this technique using several mathematical and graphical models.
International Journal of Sport Nutrition and Exercise Metabolism | 2015
Jean Gutierrez; Andrei Gribok; William V. Rumpler; Avinash Chandran; Loretta DiPietro
BACKGROUND People with a family history of type 2 diabetes have lower energy expenditure (EE) and more obesity than those having no such family history. Resistance exercise (RE) may induce excess postexercise energy expenditure (EPEE) and reduce long-term risk for obesity in this susceptible group. PURPOSE To determine the effect of RE on EPEE for 15 hr after a single exercise bout in healthy, untrained young men having a family history of type 2 diabetes. DESIGN Seven untrained men (23 ± 1.2 years, BMI 24 ± 1.1) completed a 48-hr protocol in a whole room calorimeter. The first day served as a control day, with a moderate 40-min RE bout occurring on the second day. Differences in postexercise EE were compared with matched periods from the control day for cumulative 15-min intervals (up to 150 min) and 15 hr after the RE bout was completed. RESULTS The most robust difference in EPEE between the experimental and control days was observed in the first 15-min postexercise period (M = 1.4Kcal/min; SD = 0.7; p < .05). No statistically significant differences in EPEE were noted beyond 90-min of continuous measurement. CONCLUSIONS Young people with a family history of type 2 diabetes may not show EPEE after a single RE bout when observed for 15 hr after RE and long-term resistance training may be required to promote EPEE.
Archive | 2018
Avinash Chandran; Loretta DiPietro; Heather A. Young; Angelo Elmi
Medicine and Science in Sports and Exercise | 2018
Avinash Chandran; Angelo Elmi; Heather A. Young; Loretta DiPietro
International Journal of Sports Science & Coaching | 2018
Amanda J. Visek; Heather M. Mannix; Avinash Chandran; Sean D. Cleary; Karen A. McDonnell; Loretta DiPietro
Archive | 2017
Ciera Jones; Amanda J. Visek; Avinash Chandran; Mary J. Barron; Mark Hyman
Archive | 2017
Avinash Chandran; Mary J. Barron; Beverly Westerman; Loretta DiPietro
Medicine and Science in Sports and Exercise | 2017
Avinash Chandran; Mary J. Barron; Beverly Westerman; Loretta DiPietro
Injury Epidemiology | 2017
Avinash Chandran; Mary J. Barron; Beverly Westerman; Loretta DiPietro