Collection and Advice on Basketball Field Tests—A Literature Review

Gál-Pottyondy, Anna; Petró, Bálint; Czétényi, András; Négyesi, János; Nagatomi, Ryoichi; Kiss, Rita M.

doi:10.3390/app11198855

Cited by 14 publications

(18 citation statements)

References 77 publications

(118 reference statements)

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“…RAST seems to be a reliable test for measuring basketball players’ anaerobic capacity [ 46 ], with a test reliability coefficient of 0.88 [ 47 ]. The basketball-specific RAST included six maximal 35 m round-trip runs separated by two 17.5 m shuttle runs with 10 s rest intervals [ 48 ].…”

Section: Methodsmentioning

confidence: 99%

The Effect of Acute Pre-Workout Supplement Ingestion on Basketball-Specific Performance of Well-Trained Athletes

Douligeris,

Methenitis,

Lazou

et al. 2023

Nutrients

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A pre-workout supplement’s (PWS; 200 mg caffeine, 3.3 g creatine monohydrate, 3.2 g β-alanine, 6 g citrulline malate and 5 g branched chained amino acid (BCAA) per dose) acute effects on the alactic (jumping, sprinting, agility), lactic (Running-Based Anaerobic Sprint Test, RAST) and aerobic performance (Yo-Yo Intermittent Recovery Test Level 1, Yo-Yo IRL1 VO2max) of well-trained basketball players was investigated in this double-blind placebo-controlled study. Thirty players (age 18–31 years, height 166–195 cm, weight 70.2–116.7 kg, body fat 10.6–26.4%) were allocated to pre-workout (PWS, n = 15) or placebo (PL, n = 15) groups. Half of the participants in each group performed the evaluations without PWS or PL, while the rest consumed PWS or PL 30 min before the assessments (1st trial) and vice versa (2nd trial). Significant improvements in counter-movement jump (CMJ) (PWS: 4.3 ± 2.1%; PL: 1.2 ± 1.0%), agility (PWS: −2.9 ± 1.8%; PL: 1.8 ± 1.7%), RAST average (PWS: 18.3 ± 9.1%; PL: −2.2 ± 2.0%), minimum power (PWS: 13.7 ± 8.9%; PL: −7.5 ± 5.9%), and fatigue index (PWS: −25.0 ± 0.9%; PL: −4.6 ± 0.6%) were observed in the PWS group vs. the PL group (p < 0.05). No differences were found regarding sprinting, aerobic performance, and blood lactate concentrations. Thus, although players’ alactic and lactic anaerobic performance could be improved, peak power, sprinting and aerobic performance are not.

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Section: Methodsmentioning

confidence: 99%

The Effect of Acute Pre-Workout Supplement Ingestion on Basketball-Specific Performance of Well-Trained Athletes

Douligeris,

Methenitis,

Lazou

et al. 2023

Nutrients

View full text Add to dashboard Cite

show abstract

“…RAST served as a reliable measure of basketball players’ anaerobic capacity [ 40 ], exhibiting a test reliability coefficient of 0.88 [ 41 ]. The basketball-specific RAST protocol involved six maximal 35 m round-trip runs, interspersed with two 17.5 m shuttle runs and 10 s rest intervals [ 42 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of Four Weeks of In-Season Pre-Workout Supplementation on Performance, Body Composition, Muscle Damage, and Health-Related Markers in Basketball Players: A Randomized Controlled Study

Douligeris,

Methenitis,

Stavropoulos-Kalinoglou

et al. 2024

JFMK

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This randomized, double-blinded, experimental study investigated the effects of a four-week daily pre-workout supplementation (200 mg caffeine, 3.3 g creatine monohydrate, 3.2 g β-alanine, 6 g citrulline malate, and 5 g BCAA) vs. placebo (isocaloric maltodextrin) on anaerobic (jumping, sprinting, agility, and the running-based anaerobic sprint test: RAST) and aerobic (Yo-Yo intermittent recovery test level 1) performance, as well as on body composition and selective muscle damage/health-related blood markers in well-trained basketball players during the in-season period. Eighteen basketball players (age: 24.4 ± 6.3 years, height: 185.7 ± 8.0 cm, weight: 85.7 ± 12.8 kg, body fat: 16.5 ± 4.2%) were randomly assigned into two groups: pre-workout supplement (PWS, n = 10) or placebo (PL, n = 8). PWS consumption increased aerobic performance (PWS: 8 ± 6%; PL: −2 ± 6%; p = 0.004) compared to PL. A significant decrease was observed in peak (F = 7.0; p = 0.017), average (F = 10.7; p = 0.005), and minimum power (F = 5.1; p = 0.039) following 4 weeks of supplementation in both groups. No other significant changes were observed between groups (p > 0.05). In conclusion, the consumption of the current PWS over a four-week period appears to positively influence the aerobic performance of well-trained basketball players during the in-season period. However, it does not appear to mitigate the observed decline in anaerobic power, nor does it affect performance in jumping, sprinting, and agility, or alter body composition or selective muscle damage/health-related blood markers.

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“…Agility was evaluated by using the t-test and Lane agility drills, as used in previous studies [25,26]. For the t-test, athletes started the test from the standing position with their lead foot placed 20 cm behind the first photocell.…”

Section: Agilitymentioning

confidence: 99%

Predictors of Speed and Agility in Youth Male Basketball Players

Čaušević,

Čović,

Abazović

et al. 2023

Applied Sciences

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Player performance in an intense sport such as basketball is known to be related to attributes such as speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age groups of elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n = 44), U15 (n = 45), and U16 (n = 51) players were tested for anthropometry, lower-body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. In addition, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 15m and 20m sprint times in the U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to be a significant predictor for the speed and agility tests in all age groups, but a negative lower-body power predictor. Therefore, besides all sport-specific and fitness tests, it is essential to place emphasis on the percentage of body fat when designing players’ individualized training programs, and during team selection.

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Collection and Advice on Basketball Field Tests—A Literature Review

Cited by 14 publications

References 77 publications

The Effect of Acute Pre-Workout Supplement Ingestion on Basketball-Specific Performance of Well-Trained Athletes

The Effect of Acute Pre-Workout Supplement Ingestion on Basketball-Specific Performance of Well-Trained Athletes

Effects of Four Weeks of In-Season Pre-Workout Supplementation on Performance, Body Composition, Muscle Damage, and Health-Related Markers in Basketball Players: A Randomized Controlled Study

Predictors of Speed and Agility in Youth Male Basketball Players

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