Determinants of performance in a new test of planned agility for young elite basketball players
Abstract
PURPOSE: To investigate the reliability and determinants of performance in a new test of planned agility in elite junior basketball players. METHODS: Seventeen female (15.1±0.4 y, 176.9±11.2 cm, 65.7±10.9 kg) and 42 male (14.9±0.4 y, 193.7±8.1 cm, 79.0±12.0 kg) elite junior basketball players performed 5 fitness tests presented in a random order, including a 20-m sprint, a planned-agility test, a triple bilateral horizontal countermovement jump, and 2 triple unilateral horizontal countermovement jumps (with each leg separately). The novelty of the planned-agility test is that it included both offensive and defensive movements. The determinants of planned agility were assessed by a stepwise-regression analysis, and the reliability of the new test was evaluated by the intraclass correlation coefficient and the typical error of measurement. RESULTS: The main results show good reliability of the new test of planned agility. In addition, the determinants of planned-agility performance were different between genders, with sprint performance explaining 74.8% of the variance for girls, while unilateral jump performance and body mass were the most important for boys, accounting for 24.0% and 8.9% of the variance, respectively, in planned agility. CONCLUSIONS: These results highlight a gender effect on the determinants of planned-agility performance in young elite basketball players and suggest that straight-line sprint and unilateral horizontal tests must be implemented to test elite junior players.
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The present study extends literature that ties agility and reaction time to perceptual-cognitive factors and sport-specific stimuli by showing that a brief, structured psychological intervention can enhance these motor outcomes alongside mental-health indicators.
“The present study extends literature that ties agility and reaction time to perceptual–cognitive factors and sport-specific stimuli [3,4,5,6,7,9,10,11,12,13,15,68] by showing that a brief, structured psychological intervention can enhance these motor outcomes alongside mental-health indicators.”
From Effects of the SmartACT Intervention on Motor and Psychological Variables in Adolescent Athletes: A Controlled Trial Using BlazePod and Microgate. (2025) · cites this paper as [12]
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- Authors
- Delextrat, A., Grosgeorge, B., & Bieuzen, F.
- Affiliations
- Oxford Brookes University (GB)
- Corresponding author
- Delextrat, Anne
- ORCID
- Delextrat, Anne
- Venue
- International Journal of Sports Physiology and Performance
- Publisher
- Human Kinetics
- Published
- 2015-03
- Volume
- 10
- Issue
- 2
- Pages
- 160-165
- ISSN
- 1555-0265 (ISSN-L)
- 1555-0273
- OpenAlex
- W2166712949
- Cited by
- 60
- References
- 30
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 8 · 2023: 10 · 2022: 7 · 2021: 8 · 2020: 4 · 2019: 4 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 2
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Sports Physiology and Performance (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Training Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- agility test, junior basketball players, elite youth athletes, test reliability, sprint performance, countermovement jump, body mass, sex differences, performance factors
- MeSH terms
- Adolescent, Basketball, Cross-Sectional Studies, Exercise Test, Female, Humans, Male, Motor Skills, Sex Factors, Reproducibility of Results, Body Mass Index, Athletic Performance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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