External Workload Can Be Anticipated During 5 vs. 5 Games-Based Drills in Basketball Players: An Exploratory Study

The effect of TRX, combined with vibration training, on BMI, the body fat percentage, myostatin and follistatin, the strength endurance and layup shot skills of female basketball players

Introduction

Trx Vibration Training (TVT) focuses on using the entire body weight in combination with vibration. While research has separately examined TRX training and vibration training, there is limited literature on the combined effects of these two methods specifically for female individuals. Therefore, the objective of this study was to examine the impact of combining TRX and vibration training (TVT) on various factors including body mass index (BMI), body fat percentage (BFP), myostatin (MSTN), follistatin (FLST), endurance, and Lay up shooting skills of female basketball players. By addressing this research gap, we aim to shed light on the potential benefits of incorporating TRX and vibration exercises into the training regimen of female basketball players.

Method

The study sample comprised 24 female players who were divided into two groups of equal size, with each group consisting of 12 female players: the experimental group (n = 12, age = 19.17 ± 0.68 years, height = 168.33 ± 0.89 cm, weight = 67.00 ± 2.17 kg, training age = 4.54 ± 0.45 years) and the control group (n = 12, age = 19.33 ± 0.78 years, height = 168.08 ± 2.02 cm, weight = 67.33 ± 1.50 kg, training age = 4.58 ± 0.52 years). The experimental method was employed in the study. For eight weeks, the program was used (TVT), with the experimental group participants completing three training sessions each week. The TVT training lasted between 30 and 45 min, out of the overall training session time, which ranged from 90 to 120 min. The control group used a conventional program without Trx Vibration training. Study variables were evaluated before and after the intervention, and a two-way ANOVA was used for repeated measures.

Results

The results of the study showed the superiority of the experimental group over the control group in BMI (p = 0.037, [d] = 0.64), BFP (p = 0.001, [d] = 2.97), FLST levels (p = 0.029, [d] = 0.68), MSTN (p = 0.001, [d] = 2.04), endurance (CMS) (p = 0.001, [d] = 4.56), and Lay up skill Y (s) (p = 0.001, [d] = 4.27), Y (sc) (p = 0.012, [d] = 4.27).

Conclusion

The results showed that, when comparing the two groups, the TVT program significantly improved the study's variables. Basketball players' motor abilities and skill performance improved after eight weeks of training, and coaches are advised to take this into account when developing seasonal training plans.

The discriminative, criterion, and longitudinal validity of small-sided games to assess physical fitness in female basketball players

The validity of small-sided games (SSG) for assessing physical fitness was evaluated in 21 female basketball players from senior (n = 8), under-18 years (n = 6), and under-16 years (n = 7) age categories. Players underwent fitness testing (countermovement jump [CMJ], agility T-test, repeated-sprint ability (RSA) test, and Yo-Yo Intermittent Recovery Test [YYIRT1]) and 3vs3-SSG before and after a 6-week preseason. Player demands were monitored during SSG using local positioning system and heart rate technology. Regarding discriminative validity, senior players produced better CMJ, agility T-test, and YYIRT1 performance (p  < 0.05, effect size [ES] = 1.72-2.25), and more distance and PlayerLoad (p  < 0.05, ES = 1.53-2.47) during SSG than under-18 players following the preseason. For criterion validity, total distance and distance completing high-intensity decelerations during SSG were significantly (p  < 0.05) correlated with CMJ (r = 0.44-0.66), YYIRT1 (r = 0.43-0.63), agility T-test (total distance only, r=-0.51), and RSA test performance (r=-0.49 to -0.52) among all players combined following the preseason. Regarding longitudinal validity, significantly better agility T-test and YYIRT1 performance (p ≤ 0.001, ES = 0.88-0.93) alongside lower heart rate during SSG (p = 0.001, ES = 0.88) were evident for all players combined following the preseason. These results partially support the validity of 3vs3-SSG to assess physical fitness in female basketball players.

The effect of small-sided games using the FIT LIGHT training system on some harmonic abilities and some basic skills of basketball players

Introduction

The aim of this research is to identify the effect of Small-sided games using the FITLIGHT training system on some of the harmonic abilities and some of the basic skills of basketball Players.

Methods

The researchers used the experimental method on 24 basketball players. They were randomly divided into two groups: one experimental (n = 12, age = 10.92 ± 0.79 years; height = 138.50 ± 2.78 cm; weight = 40.25 ± 2.01 kg) and a control group (n = 12, age = 11.17 ± 0. 72 years; length = 139.92 ± 3.53 cm; weight = 40.50 ± . 1.73 kg). The homogeneity between the two groups was calculated and showed that there were no differences between the two samples. In the research variables, the proposed program was applied for 10 weeks at the rate of 4 weekly training units.

Results and Discussion

The proposed training program had a positive impact on the harmonic abilities and basic skills of basketball players and the differences in improvement rates for all variables were in favor of the experimental group. Therefore, the research suggests that Small-sided games using FITLIGHT positively affect all the variables under research. This leads to significant differences between the post-tests and benefits the experimental group.

The Effect of Using Reactive Agility Exercises with the FITLIGHT Training System on the Speed of Visual Reaction Time and Dribbling Skill of Basketball Players

The study aimed to determine the effect of reactive agility with the FITLIGHT training system on the speed of the visual reaction time and dribbling skill of basketball players. Participants were divided into an experimental group (n = 10; age, 14.80 ± 0.79 years; height, 163.80 ± 3.46 cm; weight, 55.90 ± 0.99 kg; training, 4.50 ± 0.53 years) and a control group (n = 10; age, 14.60 ± 0.70 years; height, 163.30 ± 3.47 cm; weight, 56.10 ± 0.74 kg; training, 4.30 ± 0.48 years). Reactive agility was assessed through a modified t-test, visual reaction time was assessed using the Li Lafayette instrument Visual Reaction Time Apparatus 63014 response panel, and dribbling skills were assessed through dribbling testing. The results showed improved agility through the modified agility t-test (11%; p = 0.001), an increased speed of visual reaction time for both the right and left hands (23-31%), and improved dribbling skills (19%; p = 0.001) for the experimental group using the FITLIGHT reactive agility software. The results also showed increased skills of the experimental group when compared to the control group. Differences in variability emerged between 6 and 14.1% in favor of the experimental group. Therefore, the researchers recommended that attention should be paid to activating the role of the FITLIGHT reactive agility training to improve and develop the physical, visual, and skill capabilities of basketball players. The researchers propose that FITLIGHT can be effectively used in the basketball training process.

Higher Playing Times Accumulated Across Entire Games and Prior to Intense Passages Reduce the Peak Demands Reached by Elite, Junior, Male Basketball Players

The aim of this study was to analyze the effects of different factors on the external peak demands (PD) encountered by elite, junior, male basketball players in games, including the (1) total playing time during games and (2) playing time accumulated directly prior to each PD episode. Workload variables included the PD for total distance, distance covered in different intensity zones, accelerations >2 m·s-2 (ACC), decelerations <-2 m·s-2 (DEC), and PlayerLoad. PD were calculated across different sample durations for each variable. Linear mixed models were used to identify differences in PD between groups based on playing times. PD for total distance (5-min window), high-speed running (>18 km·h-1) distance (2-min window), and ACC (30-s, 45-s, 1-min, 2-min, and 5-min windows) were significantly (p < .05) higher for players who completed lower total playing times (16.6 ± 2.4 min) than players who completed higher total playing times (25.0 ± 3.4 min). The PD for total distance (30-s, 45-s, 1-min, and 2-min windows), high-speed running distance (30-s and 5-min windows), and PlayerLoad (1-min and 2-min windows) were significantly (p < .05) higher for players who accumulated lower playing times before each PD episode than players who accumulated higher playing times before each PD episode. Players who undertake less playing time overall and prior to each PD episode can reach higher peak external loads aggregated across varied time windows. These findings can inform tactical coaching decisions during games for high external loads to be accomplished during important passages of play.

Accelerometry as a method for external workload monitoring in invasion team sports. A systematic review

Accelerometry is a recent method used to quantify workload in team sports. A rapidly increasing number of studies supports the practical implementation of accelerometry monitoring to regulate and optimize training schemes. Therefore, the purposes of this study were: (1) to reflect the current state of knowledge about accelerometry as a method of workload monitoring in invasion team sports according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, and (2) to conclude recommendations for application and scientific investigations. The Web of Science, PubMed and Scopus databases were searched for relevant published studies according to the following keywords: "accelerometry" or "accelerometer" or "microtechnology" or "inertial devices", and "load" or "workload", and "sport". Of the 1383 studies initially identified, 118 were selected for a full review. The main results indicate that the most frequent findings were (i) devices' body location: scapulae; (b) devices brand: Catapult Sports; (iii) variables: PlayerLoadTM and its variations; (iv) sports: rugby, Australian football, soccer and basketball; (v) sex: male; (vi) competition level: professional and elite; and (vii) context: separate training or competition. A great number of variables and devices from various companies make the comparability between findings difficult; unification is required. Although the most common location is at scapulae because of its optimal signal reception for time-motion analysis, new methods for multi-location skills and locomotion assessment without losing tracking accuracy should be developed.