ArticleFrontiers in sports and active living2023
Relations between specific athleticism and morphology in young basketball players.
Article in Frontiers in sports and active living, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Early-season changes in concentric-only, long and short stretch-shortening cycle jump performance in highly trained youth basketball players.Annals of medicine · 2026Article
- Effects of 6-week change-of-direction repeated sprint training on explosive power, sprint, and COD performance in U19 basketball players.BMC sports science, medicine & rehabilitation · 2026Article
- Physical and Performance Characteristics of Elite Youth Male Basketball Players Characterized by Maturity Status.Life (Basel, Switzerland) · 2025Article
- Who Runs the Most? Positional Demands in a 4-3-3 Formation Among Elite Youth Footballers.Sensors (Basel, Switzerland) · 2025Article
- Handgrip Strength Asymmetry in Female Basketball Players: The Critical Role of Arm Position and the Challenge of Statistical Power.Sports (Basel, Switzerland) · 2025Article
- A Pilot Study Exploring the Optimization of Warm-Up Strategies: Modern Cognitive Warm-Up with Open-Skill Demands vs. Traditional Closed-Skill Warm-Up in Basketball.Sensors (Basel, Switzerland) · 2025Article
- Impact of athletic profiles and the relative age effect on the future achievement levels of young basketball players.Frontiers in sports and active living · 2025Article
- The Relationship between Functional Movement Quality and Speed, Agility, and Jump Performance in Elite Female Youth Football Players.Sports (Basel, Switzerland) · 2024Article
- Study on the Impact of Implementing an Exercise Program Using Fitlight Technology for the Development of Upper Limb Coordinative Abilities in Basketball Players.Sensors (Basel, Switzerland) · 2024Article
- Prediction of fat-free mass from body surface area in young basketball players.BMC sports science, medicine & rehabilitation · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Basketball is a fast-paced intermittent team sport, wherein the players must exhibit different morphologies and fitness levels depending on their position. The aim of this study was to assess the differences in the athleticism of basketball players by playing positions and in its relations with body composition and anthropometric measures. It was hypothesized that calculated athleticism has stronger and better predictive relations with morphology compared to motoric tests alone. Methods: 47 basketball players were divided into three groups according to playing position [guards (n = 14), forwards (n = 22), centers (n = 11)]. Body composition and anthropometrical measurements were done for all players. Athleticism was presented in terms of overall (OFS), jumping (JFS) and sprinting (SFS) fitness scores. Results: Fitness scores were found to be more strongly related to body composition and anthropometry measurements than motoric tests alone. All three fitness scores were moderate to strongly correlated with skinfold thickness and fat percentage, while body height, fat-free mass, and lean body mass were positively correlated. Significant differences in athleticism fitness scores were found between guards and other groups. Forwards displayed superior athleticism in power and sprint abilities when compared to guards and centers. Multivariate logistic regression revealed that fat percentage, lean muscle mass, skinfold thickness, and arm span exhibited strong predictive capabilities in relation to athleticism scores. Conclusions: Coaches and practitioners should be aware that athleticism includes a multitude of components, and they should use athleticism assessments before designing training regimens that are tailored to each position's unique needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.