The purpose of this study was to assess relationships between daily fluctuations in hormonal and performance markers in weightlifters. Nine male collegiate weightlifters gave daily pre-practice salivary samples for one week and were tested daily for standing broad jump distance; first jump (BJ1) and best jump (BJB) were recorded. Volume-load was heavy on Monday (47%), light on Tuesday (13%), and medium-heavy on Wednesday (40%). To determine if variables differed by day, RM ANOVAs were used with partial-eta squared effect sizes (η2 p) to calculate meaningful changes. RM ANOVA models suggest daily differences occurred for T (F=4.027, p=.024, η2 p =.402), T/C (F=11.735, p=.019, η2 p =.898), and BJ1 (F=6.229, p=.004, η2 p =.509), but not for C (F=1.623, p=.219, η2 p =.213) nor BJB (F=1.088, p=.379, η2 p =.154). Daily fluctuations in BJ1 shared a moderate inverse relationship with daily fluctuations in C (r = -0.42), whereas BJB revealed no association with hormonal markers. T, T/C, and BJ1 appeared to be meaningfully affected by the previous day’s training stress in collegiate weightlifters, suggesting that BJ1 may be indicative of hormonal status and that a one-day reduction in VL may enhance acute athlete readiness.


Athlete Monitoring Assessment Microcycle Broad Jump Testosterone


  1. W. Kraemer, S. Mazzetti, Strength and Power in Sport, Blackwell Scientific Publishing, (2008) Boston, USA.
  2. M. Cardinale, M.H. Stone, Is testosterone influencing explosive performance? Journal of Strength and Conditioning Research 20 (2006) 103–107.
  3. Nelson, J. Winchester, L. Stewart, M. Stone, Hormonal markers and physical performance during a peak-taper cycle in elite track and field athletes, Medicine and Science in Sport and Exercise, 41 (2008) 336-337.
  4. G. Haff, J. Jackson, N. Kawamori, J. Carlock, M. Hartman, J. Kilgore, R. Morris, M. Ramsey, W. Sands, M. Stone, Force-time curve characteristics and hormonal alterations during an eleven-week training period in elite women weightlifter, Journal of Strength and Conditioning Research, 22 (2008) 433-436.
  5. M. Cardinale, Strength and Conditioning: Biological Principles and Practical Applications, (2011) John Wiley & Sons Ltd, West Sussex, UK.
  6. X. Schelling, J. Calleja, N. Terrados, Hormonal analysis in elite basketball during a season, Journal of Applied Sport Psychology, 18 (2009) 363-367.
  7. C. Bosco, J. Tihanyi, A. Viru, Relationships between field fitness test and basal serum testosterone and cortisol levels in soccer players, Clinical Physiology, 16 (1996) 317–322.
  8. D. Cooper, The Endocrine System in Sport and Exercise, (2005) Blackwell Scientific Publishing, Boston, USA.
  9. J. Hoffman, Norms for Fitness, Performance and Health, (2006) Human Kinetics, Champaign, Illinois.
  10. E. Papacosta, G.P. Nassis, Saliva as a tool for monitoring steroid, peptide and immune markers in sport and exercise science, Journal of Science and Medicine in Sport, 14 (2011) 424– 434.
  11. J. Cohen, Statistical power analysis for the behavioral sciences, (1988) Lawrence Erlbaum Associates, Hillsdale, New Jersey.
  12. Viru, Defense reaction theory of fatigue, Schweizerische Zeitschrift fur Sportmedizin, 23 (1975) 171-186.
  13. Guillich, D. Schmidtbleicher, MVC-induced short-term potentiation of explosive force, New Studies in Athletics, 11 (1996) 67-81.