Weekly Newsletter
Curated articles every weekApplied Sports Science Weekly Digest #389
Frontiers in Sports and Active Living | January 2025
Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach
“The results showed that the variable of the number of decelerations had the highest predictive power compared to other variables.“
Frontiers in Sports and Active Living | January 2025
Enjoyment of spinning exercise performed in a group session as compared to an individual session
“Our findings suggest that parachute-resisted sprints with hand-paddles during warm-up do not enhance 50 m freestyle swimming performance in trained collegiate swimmers.“
Frontiers in Sports and Active Living | January 2025
Training load and fitness monitoring in Czech football: coach practices and perspectives
“The findings highlight the predominance of traditional monitoring practices among the Czech football coaches, alongside with notable gaps in internal load tracking and fitness evaluation.“
Journal of Science and Medicine in Sport | January 2025
The role of generic cognitive skills: an empirical investigation into the association between generic and sport-specific cognitive skills and playing level in youth football
“We found a partial relationship between generic and football-specific cognition and that football-specific decision-making better differentiates playing levels than generic cognition.“
Journal of Sport and Health Science | January 2025
The effect of muscle warm-up on voluntary and evoked force-time parameters: A systematic review and meta-analysis with meta-regression
“Active warm-up does not always lead to significantly greater performance increases than passive heating strategies, and the magnitude of enhancement may depend on the specifics of the active warm-up.”
Newsletter History
Applied Sports Science Weekly Digest #389
Frontiers in Sports and Active Living | January 2025Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach "The results showed that the variable of the number of decelerations had the highest...
Applied Sports Science Weekly Digest #388
Frontiers in Sports and Active Living | January 2025Accuracy of smartwatches in predicting distance running performance "This study confirmed that the smartwatch exhibits high precision in predicting 5 km, 10 km, and half marathon performances, with an accuracy...
Applied Sports Science Weekly Digest #387
Frontiers in Sports and Active Living | January 2025Efficacy of a new treatment algorithm for capsulitis of the fingers in rock climbers "Although finger joint capsulitis has been described among the most frequent injuries in climbers, no clinical studies on treatment...
Research Articles
Suggested articles for further readingBODY COMPOSITION
Jackson, A and Pollock, M. Generalized equations for predicting body density of men. British Journal of Nutrition. 1978;40:497-504. Abstract
Siri, W. Body composition from fluid space and density. Brozek & A. Hanschel (Eds.), Techniques for measuring body composition. 1961;223-244. Abstract
Brozek, J, Grande, F, Anderson, J, and Keys, A. Densitometric analysis of body composition: Revision of some quantitative assumptions. Annals of the New York Academy of Sciences. 1963;110:113-140. Abstract
INJURY PREVENTION IN YOUTH ATHLETES
Chu, D., A. Faigenbaum, and J. Falkel. Progressive Polymetrics for Kids. Monterey, CA: Healthy Learning. 2006
Hewett, T. G. Myer, and K. Ford. Reducing knee and anterior cruciate ligament injuries among female athletes. J Knee Surg 18:82-88. 2005.
Micheli, L. Preventing injuries in sports: What the team physician needs to know. In: F.I.M.S. Team Physician Manual, 2nd ed., K. Chan, L. Micheli, A. Smith, C. Rolf, N. Bachl, W. Frontera, and T. Alenabi, eds. Hong Kong: CD Concept. 2006. pp. 555-572.
RPE (RATING OF PERCEIVED EXERTION)
Pandolf, K, Billings, D, Drolet, L, Pimental, N, and Sawka, M. Differentiated ratings of perceived exertion and various physiological responses during prolonged upper and lower body exercise. European Journal of Applied Physiology and Occupational Physiology. 1984;53:5-11. Abstract
Baden, D, McLean, T, Tucker, R, Noakes, T, and St Clair Gibson, A. Effect of anticipation during unknown or unexpected exercise duration on rating of perceived exertion, affect, and physiological function. J Sports Med. 2005;39:742-746. Abstract
SLEEP
For a more thorough list about sleep, check out Fatigue Science’s extensive research page.
Russel, C., PhD, J.A., PhD, Arand, D., PhD, Myers, L.J., PhD, Wubbels, P., BS, and Downs, H., PhD. Validation of the Fatigue Science Readiband™ Actigraph and Associated Sleep/Wake Classification Algorithms. Archinoetics, LLC.
Globe and Mail. The Globe and Mail, 31 Dec. 2014. Web. 13 Apr. 2015. Article
Mah CD; Mah KE; Kezirian EJ; Dement WC. The effects of sleep extension on the athletic performance of collegiate basketball players. SLEEP 2011;34(7):943-950.
GPS (GLOBAL POSITIONING SYSTEM)
Varley M, Fairweather I and Aughey R. Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration and constant motion. Journal of Sports Sciences. 2012;30(2):121-127. Abstract
Boyd L, Ball K and Aughey R. Quantifying external load in Australian football matches and training using accelerometers. I J Sports Phys and Perf. 2013;8(1):44-51. Abstract
Gabbett T. Quantifying the physical demands of collision sports; does microsensor technology measure what it claims to measure? J Strength and Conditioning Research. 2013;27(8):2319-2322. Abstract
HYDRATION
For a thorough list of publications about hydration, visit the Gatorade Sports Science Institute Publications page.
Osterberg, K, Horswill, C, and Baker, L. Pregame urine specific gravity and fluid intake by National Basketball Association players during competition. Journal of Athletic Training – J ATHL TRAINING. 2009 01-02;44(1):53-7. Abstract
Godek, S, Peduzzi, C, Burkholder, R, Condon, S, Dorshimer, G, and Bartolozzi, A. Sweat rates, sweat sodium concentrations, and sodium losses in 3 groups of professional football players. Journal of Athletic Training. 2010 Jul-Aug; 45(4): 364–371. Abstract
WELLNESS QUESTIONNAIRE
Hooper, S, Mackinnon, L. Monitoring overtraining in athletes: recommendations. Sports Med. 1995;20(5):321–327.
McLean, B, Coutts, A, Kelly, V, McGuigan, M, and Cormack, S. Neuromuscular, endocrine, and perceptual fatigue responses during different length between-match microcycles in professional rugby league players. International Journal of Sports Physiology and Performance. 2010;5:367-383. Abstract
HRV (HEART RATE VARIABILITY)
Holman, A and Ng, E. Heart rate variability predicts anti-tumor necrosis factor therapy response for inflammatory arthritis. Auton Neurosci. 2008;143:58-67. Abstract
Fomin, R and Nasedkin, V. Effective management of athlete preparation: a comprehensive approach to monitoring of athlete’s individual readiness. White paper, Omegawave, ePub. 2013.
FORCE PLATE
Linthorne, N. Analysis of standing vertical jumps using a force platform. American Journal of Physics. 2001. Abstract
Guillaume L, Wagner P, and Tombleson T. Countermovement jump height: gender and sport-specific differences in the force-time variables. Journal of Strength and Conditioning Research. 2013. Abstract
ithlete. Guide to training with heart rate variability (HRV). HRV Fit Ltd. 2012. Download