The purpose of this study was to examine the effects of an overreach and taper on measures of muscle architecture, jumping, and throwing performance in Division I collegiate throwers preparing for conference championships. Six collegiate track and field throwers (3 hammer, 2 discus, 1 javelin) trained for 12 weeks using a block-periodization model culminating with a 1-week overreach followed by a 3-week taper (ORT). Session rating of perceived exertion training load (RPETL) and strength training volume-load times bar displacement (VLd) were recorded weekly. Athletes were tested pre-ORT and post-ORT on measures of vastus lateralis architecture, unloaded and loaded squat and countermovement jump performance, underhand and overhead throwing performance, and competition throwing performance. There was a statistical reduction in weight training VLd/session (d = 1.21, p ≤ 0.05) and RPETL/session (d = 0.9, p ≤ 0.05) between the in-season and ORT training phases. Five of 6 athletes improved overhead throw and competition throwing performance after the ORT (d = 0.50, p ≤ 0.05). Vastus lateralis muscle thickness statistically increased after the in-season training phase (d = 0.28, p ≤ 0.05) but did not change after the ORT. Unloaded countermovement jump peak force and relative peak power improved significantly after the ORT (d = 0.59, p ≤ 0.05, d = 0.31, p ≤ 0.05, respectively). These findings demonstrate that an overreaching week followed by a 3-week taper is an effective means of improving explosive ability and throwing performance in collegiate track and field throwers despite the absence of detectable changes in muscle architecture.

This study investigated physiological and performance changes of a national level 69kg female weightlifter following three competition phases over a 28-week training period. The athlete first trained for a regional championship (weeks 1-12), followed by a local competition (weeks 13-23) and the national championship (weeks 24-28). Body mass, vastus lateralis cross-sectional area, and unloaded and loaded squat jump performance were assessed weekly during each 4-week competition phase. Serum biomarkers, and dynamic mid-thigh pulls were assessed prior to and after each competition phase. Weightlifting performance goals were met for the regional championship (total=200kg) and the local competition (total=193kg), but not the national championship (total=196kg). She lost more body mass in preparation for nationals (-6.0kg) compared to regionals (-2.5kg) and the local competition (+2.2kg). Vastus lateralis cross-sectional area very likely decreased following nationals (precision=99%, effect size=2.08). Her testosterone:cortisol ratio likely increased (88%, 2.64), while interleukin-6 (79%, 2.47), and tumor necrosis factor-alpha (81%, 3.59) likely decreased following nationals. Serum myostatin (99%, 1.95) and decorin (99%, 1.96) very likely decreased following the local competition. Unloaded squat jump height likely increased the week of regionals (89%, 0.95) and the local competition (99%, 1.83), whereas unloaded and loaded squat jump height possibly (69%, 0.99) and likely (82%, 1.52) decreased the week of nationals. Dynamic mid-thigh pull vertical displacement likely increased following regionals (93%, 0.84), and likely decreased following nationals (94%, 0.87). These findings indicate that biomarkers of stress, inflammation, and hypertrophy are related to changes in training volume-load; however, performance measures are needed to assess competition preparedness. Considering the reductions in muscle cross-sectional area corresponding with the large reductions in body mass and underperformance at the national championship, sport scientists and coaches should instruct weightlifters to not attempt large losses in body mass (e.g. >3 kg) close to competition (e.g. <1 week).

Athlete preparation and performance continue to increase in complexity and costs. Modern coaches are shifting from reliance on personal memory, experience, and opinion to evidence from collected training-load data. Training-load monitoring may hold vital information for developing systems of monitoring that follow the training process with such precision that both performance prediction and day-to-day management of training become adjuncts to preparation and performance. Time-series data collection and analyses in sport are still in their infancy, with considerable efforts being applied in "big data" analytics, models of the appropriate variables to monitor, and methods for doing so. Training monitoring has already garnered important applications but lacks a theoretical framework from which to develop further. As such, we propose a framework involving the following: analyses of individuals, trend analyses, rules-based analysis, and statistical process control.Keywords: time-series analysis, dose-response, statistical process control Training is a process and a historical sequence of events. As with all processes, whether biochemical, manufacturing, raising children, or others, these processes require some type of regulation and oversight. 1 The level of oversight is related to the complexity of the process and the potential cost of losing process control. 2 Complex processes tend to have more opportunities for error resulting in a deviation from the most desired path. 3 For example, game sports are unique events that involve dynamic interactions between players, and as a result the observed behavior of an athlete or team is influenced by a situation or opponent. 4 The "unstable" nature of game sports creates a challenge to quantify performance indicators. Statistical process control is one method used to identify stable performance traits. 4 Statistical process control uses normative profiles or the averages of variables from several games, as well as tolerance limits expressed in confidence intervals based on a mean and variance estimates, to determine "reliable" or typical indicators of performance. 5 Mathematical modeling, such as probability analysis, also has been used for estimating the impact of a single player on team performance, predicting future behavior and identifying optimal decision-making strategies. 6 Processes can operate along a continuum from deterministically controlled to utterly chaotic 7-9 with both sharing a potential for unexpected problems and considerable expense in terms of money and threats to life and health. 2,10 Historically, more effort has been expended in assessing the athlete as a system. However, the preparation and performance of an athlete can also be addressed as a system. When viewed from the perspective of dynamic systems, athletes are described as "non-ergodic, out of equilibrium systems, exploring larger and larger regions of the state space but eventually getting trapped within some relatively small set of the whole state space by the constraints of their sport disci...

A four-year retrospective analysis of injury data was conducted on a collegiate (NCAA Division I) women’s volleyball team. Twenty athletes (Year 1: age = 19.4 ± 0.9 y, height = 175.2 ± 5.1 cm, body mass = 70.5 ± 10.2 kg; Year 2: age = 20.1 ± 1.0 y, height = 175.7 ± 4.7 cm, body mass = 69.5 ± 10.1 kg; Year 3: age = 20.1 ± 1.4 y, height = 173.8 ± 6.3 cm, body mass = 69.9 ± 10.8 kg; Year 4: age = 19.5 ± 1.4 y, height = 174.4 ± 8.6 cm, body mass = 72.7 ± 10.8 kg) participated in this study, accounting for 1483 total training exposures. Injury was defined as any damage to a body part, incurred during volleyball or strength and conditioning-related activities, which interfered with training and/or competition. Injury rate was normalized to the number of athletes and exposure and expressed as injuries per 1000 exposures. A total of 133 injuries were recorded. The most common injury was to the knee (left = 7.5%, right = 12.0%). Injuries occurred most often in volleyball practice (75.2%), followed by competition (20.3%), and strength and conditioning-related activities (4.5%). Non-contact injuries (upper body = 26.3%, lower body = 53.4%) were more common than contact injuries (upper-body = 13.5%, lower-body = 6.8%). An examination of injury rates relative to the training year revealed patterns in injury occurrence. Specifically, spikes in injury rate were consistently observed during periods of increased training volume that were preceded by breaks in organized training, such as the early pre-season and off-season training periods.

Bazyler, CD, Mizuguchi, S, Sole, CJ, Suchomel, TJ, Sato, K, Kavanaugh, AA, DeWeese, BH, and Stone, MH. Jumping performance is preserved but not muscle thickness in collegiate volleyball players after a taper. J Strength Cond Res 32(4): 1020-1028, 2018-The purpose of this study was to examine changes in muscle architecture and jumping performance in NCAA division I women's volleyball players throughout a competitive season and in preparation for conference championships. Ten women volleyball players were tested at preseason (T1), pretaper (T2), and post-taper (T3) on measures of vastus lateralis muscle thickness (MT), pennation angle (PA) and fascicle length (FL) using ultrasonography, and unloaded and loaded squat jump height (SJH) and peak power allometrically scaled to body mass (SJPPa) on a force platform. Rating of perceived exertion training load and strength training volume load were monitored weekly. Player's MT (p < 0.001, Glass's Δ = 2.8) and PA increased (p = 0.02, Δ = 3.9) after in-season training. However, MT decreased after the taper (p = 0.01, Δ = 0.6) but remained elevated above preseason values (p < 0.001, Δ = 1.7). There were no statistical changes in FL, SJH, or SJPPa. Large-to-very large negative relationships (r = -0.51 to -0.81) were observed between preseason relative maximal strength and changes in SJH and SJPPa with various loads over the season. These findings demonstrate that relatively low volumes of strength training and concurrent sport training during a tapering period are capable of preserving jumping performance, but not MT in women's volleyball players; however, jumping performance changes seem to be related to the player's strength level. Stronger players may benefit from an overreaching microcycle before the taper to preserve previously accrued muscular adaptations and jumping performance.