Basketball talent identification: a systematic review and meta-analysis of the anthropometric, physiological and physical performance factors.
Level 3 - non-randomized controlled study
Systematic review and meta-analysis of observational and cross-sectional studies
PubMed 38033652 · doi:10.3389/fspor.2023.1264872
What was done
A systematic review and meta-analysis conducted under PRISMA 2020 guidelines searched Web of Science, PubMed, SPORTDiscus, and Scopus using a PICOS framework. The search targeted anthropometric, physiological, and physical performance variables that differentiate elite from non-elite basketball players across playing positions and competitive tiers. Methodological quality across 18 included studies was appraised using Critical Review Forms.
What was found
The abstract reports no numerical effect sizes, variance estimates, or p-values. It notes statistically significant differences between elite and non-elite basketball cohorts across playing levels and positions for height, body mass, endurance capacity (Yo-Yo test), agility (T-test), linear speed (20 m sprint), and jump performance.
Why it matters
This review establishes a baseline profile of physical, physiological, and anthropometric metrics that distinguish high-level basketball athletes, aiding coaches and talent scouts in objective physical benchmarking.
Limits
The abstract provides zero quantitative data, pooled effect metrics, or heterogeneity statistics. Talent identification based strictly on physical and anthropometric attributes overlooks essential technical skill, tactical intelligence, and psychological resilience. Inherent selection bias exists, as superior performance in cross-sectional studies may reflect exposure to elite coaching and training rather than baseline innate talent.
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