Monitoring and Managing Fatigue in Basketball

Seasonal Variations in Game Activity Profiles and Players' Neuromuscular Performance in Collegiate Division I Basketball: Non-conference vs. Conference Tournament

Basketball has a high demand on a player's neuromuscular system due to a high volume of explosive high-intensity actions. This study aimed to examine the seasonal variations on game demands and players' neuromuscular performance during the Non-Conference (NON-CONF) and Conference (CONF) seasons in NCAA Division I Men's Basketball. Seven NCAA Division I Basketball players' (20 ± 1.2 years, 1.95 ± 0.1 m, and 94 ± 15 kg) match activity profiles were tracked in 17 home games (7 NON-CONF; 10 CONF); furthermore, players performed a repeat hop test on a force platform the day before competition to assess neuromuscular performance. A t-test for paired samples was used to analyze the differences between NON-CONF and CONF. Results indicated no significant differences in Total Distance, Peak Speed, Acceleration, and Deceleration loads when comparing NON-CONF and CONF match-play. Regarding neuromuscular performance, Jump Height (p = 0.03; ES = 0.43) was negatively affected during CONF. Moreover, a trend toward a decline in Peak Force (p = 0.06; ES = 0.38) was found in CONF. Conversely, no differences were obtained regarding Reactive Strength Index and Contact Time. In conclusion, match-play demands remained constant across the season whilst neuromuscular outputs were inhibited during the CONF season.

A noninvasive and qualitative bioluminescent assay for express diagnostics of athletes' responses to physical exertion

Upcoming professional sports authorities seek rapid noninvasive biosensing tools for regular monitoring of athletes' physiological states. The analysis of saliva through luminescence-based biosensors has been perceived as a suitable candidate for such purposes. The present study reports a qualitative bioluminescence assay based on a coupled enzyme system that consists of bacterial luciferase (BLuc) and nicotinamide adenine dinucleotide (NADH):flavin mononucleotide (FMN) oxidoreductase (Red), BLuc-Red, for the express diagnostics of athletes' stress levels before and after physical exertion. The volunteers who participated in the study were grouped as freestyle wrestlers and students who adapted to different levels of physical activities. Under physical exertion modelling conditions, the influence of participant saliva on BLuc-Red catalyzed light emission was investigated. Results showed a significant increase in residual luminescence (I_exp , mean maximum bioluminescence intensity of the experimental measurement (I_exp ); I_c , luminescence intensity in control; I_exp /I_c , %) values for participants in the wrestler group while a decrease in the student group (P < 0.05). Such contrasting residual luminescence values in both groups were found to be dependent on the catalase activity of saliva. The proposed bioluminescence assay can be utilized as a potential nonspecific biosensing tool for determining the physical state of athletes under high loads.

A 4-Year Profile of Game Demands in Elite Women's Division I College Basketball

Ransdell, LB, Murray, T, Gao, Y, Jones, P, and Bycura, D. A 4-year profile of game demands in elite women's Division I college basketball. J Strength Cond Res 34(3): 632-638, 2020-Workload for a Division I women's collegiate basketball team (0.817 win percentage) was examined by: (a) season, (b) player position, and (c) game outcome (wins vs. losses). Female athletes (n = 6, mean 19.7 ± 1.5 years, at beginning of study) wore Catapult S5 units during 91.8% of games over a 4-year period. Average PlayerLoad, PlayerLoad per minute (PL·min), high inertial movement analysis (high-IMA), and jumps were quantified using Catapult Openfield software (version 1.14.1+). Data were checked for normality and log- or square-root-transformed when they were non-normal. A series of linear mixed model analyses were conducted to detect differences in PlayerLoad, PL·min, high-IMA, and jumps by season, position, and game outcome. PL·min and jumps data were not normal, so they were transformed, analyses were run; because there were no differences in findings, data are reported in original units to allow for comparisons with other studies. Cohen's d and confidence intervals were provided as additional information about the strength of reported differences. The 3 most consistent findings were that across a 4-year period, jumps increased, PL·min was higher in guards compared with posts, and high-IMA was higher in losses compared with wins. Other workload patterns were inconsistent, and inappropriate for making conclusive statements. Therefore, comparing jumps across multiple seasons, PL·min by player position and high-IMA in losses are important; in addition, all data can be used to profile National Collegiate Athletic Association Division I women's basketball players and set game workload expectations.

[Monitoring and load management in team handball]

BACKGROUND

 The monitoring of athletes has become a focus in elite-level team sports and research in recent years. The goal is to optimise load management for maximising performance. Due to the considerable amount of data gathered during monitoring in team sports, the trend is towards integrating different monitoring methods in a software-based tool. In addition, decision-support systems are used in order to enable coaches to make quick decisions to control further burdens. This article is intended to give an overview of the large number of monitoring methods used in contact team sports, to consider their test quality criteria and to check a useful application of monitoring methods for team handball, taking into account the sports-specific requirements.

METHODS

 PubMed-based review of the literature. Narrative review focusing on current data from the years 2010 to 2019.

RESULTS

 Demands on athletes in elite team handball vary depending on the playing position. Therefore, individualised load control is necessary. Monitoring methods with proven validity and reliability should ideally be used in a multivariate approach to represent the various aspects of external and internal load, recovery and fatigue, well-being and readiness. It is important to know the meaningful change for each athlete while using a monitoring method. This circumstance necessitates an individualised approach for each parameter. There are not many studies on the use of monitoring methods in team handball, neither in the amateur field nor in an elite sports environment. Nevertheless, based on evidence from other contact team sports, a recommendation for a combined use of monitoring methods can be given. Burden, time and cost/benefit should always be considered.

CONCLUSION

 There is a considerable need for research regarding the use of athlete monitoring in team handball. The combination of monitoring methods proposed in this article can be used as a framework for studies with handball players in an elite sports environment in order to implement an increasingly handball-specific monitoring concept in the future.

Changes in Selected Physiological Parameters Following a Training Block of Specific Circuit Training Among National Top-level Basketball Players

The study aims at measuring the effects of six weeks of specific circuit training (SCT) according to the 15-15 modality, on selected physiological parameters in national top-level basketball players. It was an intervention study, undertaken with 44 senior players randomly assigned to two groups depending on the program: intervention (IG: n = 22; SCT) and control (CG: n = 22; usual content of the defending champion team's), submitted to a six-week training block. The heart rate recovery at 1 (HRR1) and then 2 (HRR2) minutes, the double product (DP) and V̇O2max were assessed prior to and at the end of the training period. As appropriate, the Student t-test on paired or independent samples, was used to compare measures and groups. At the end of the training period, the HRR1 decreased by 14.2% (p = 0.01) and 14.1% (p = 0.03) respectively in IG and CG. The mean HRR2 was higher in IG than in GC (63 ± 8 bpm versus 57 ± 6 bpm, p = 0.003) at the end of the training period. The variation of DP in IG was not significant (p = 0. 42) while it increased by 7.2% (p = 0.0005) in CG. The V̇O2max increased by 6.5% (p < 0. 001) in IG but not in CG (p = 0.50). The specific circuit training block in the 15-15 modality improved heart rate recovery at one minute and V̇O2max, but had no effect on the double product in the basketball players studied.

Prevalence of Musculoskeletal Injuries, Pain, and Illnesses in Elite Female Basketball Players

Background and Objectives: The participation of women in sports, including basketball, is becoming increasingly common, and this increased involvement raises concerns about the potential risk of sports injuries, but there is a lack of epidemiological studies about the incidence of sports injuries in women’s basketball, especially in Europe. The aim of this study was to determine the prevalence and localizations of sport related injuries and illnesses in elite female basketball players. Materials and Methods: This was a retrospective study. The sample consisted of 358 elite female basketball players, with a mean age of 23.4 ± 5.93 years, participated in the study. The players were interviewed using a pre-participation health questionnaire during the 2013–2016 sport seasons in the pre-season preparation phase. Results: 155 health problems were reported in 358 athletes during the screening period. The most frequently injured body parts were lower limbs: more than 60%, representing an injury rate of 0.14 per athletes and a 0.2 pain rate per athlete during the study period. Conclusions: The main findings showed the importance of monitoring lower extremity injuries and pain to pay attention to the players, which are at risk. The occurrence of injuries and pain among female basketball players was high. The lower extremities are the most frequently injured body area in the Lithuanian Women’s Basketball League.

Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U'18 Basketball Players

An understanding of basketball physical demands during official matches is fundamental for designing specific training, tactical, and strategic plans as well as recovery methods during congested fixture periods. Such assessments can be performed using wearable indoor time motion tracking systems. The purpose of this study was to analyze the time-motion profile of under 18-years of age (U’18) basketball players and compare their physical demands in relation to team ranking, playing position, match periods and consecutive matches during a 7-day tournament. Relative Distance (RD), percentage of High-Intensity Running (%HIR), Player Load (PL), Acceleration (Acc), Deceleration (Dec), Peak Speed (PSpeed), and Peak Acceleration (PAcc) were recorded from 94 players (13 centers, 47 forwards, and 34 guards) belonging to eight elite teams (age: 17.6 ± 0.8 years; height: 1.91 ± 0.08 m; body mass: 82.5 ± 8.8 kg). WIMU PRO^TM inertial measurement units with ultra-wide band (UWB) indoor-tracking technology recorded 13 matches during the Adidas Next Generation Tournament Finals in the 2016–2017 season. Paired t-tests and one-way analyses of variance with omega partial squared (ωp2) and Cohen’s effect sizes (d) were used to analyze for differences between variables. According to team quality, the best teams had lower RD (p = 0.04; d = −0.14). Guards presented higher RD (p < 0.01; ωp2 = 0.03), PSpeed (p < 0.01; ωp2 = 0.01) and PAcc (p < 0.01; ωp2 = 0.02) compared to forwards and centers. The first quarter showed differences with higher RD (p < 0.01; ωp2 = 0.03), %HIR (p < 0.01; ωp2 = 0.02), and PL (p < 0.01; ωp2 = 0.04) compared to all other quarters. The third match of the tournament presented higher demands in RD (p < 0.01; ωp2 = 0.03), HIR (p < 0.01; ωp2 = 0.01) and PL (p < 0.01; ωp2 = 0.02) compared with the first two matches. This study showed that team quality, playing position, match period, and consecutive matches throughout an U’18 basketball tournament influenced the kinematic demands experienced by players during official competition. Therefore, each of these contextual factors should be considered in managing the load and developing individualized strategies for players in tournament settings.