Evidence map›Paper›PMID 37877119›Full record

ArticleFrontiers in sports and active living2023

Relations between specific athleticism and morphology in young basketball players.

Nedim Čović, Denis Čaušević, Cristina Ioana Alexe, Babina Rani, Corina Ramona Dulceanu, Ensar Abazović, Gabriel Stanica Lupu, Dan Iulian Alexe

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Prediction of fat-free mass from body surface area in young basketball players.BMC sports science, medicine & rehabilitation · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Nedim ČovićFaculty of Sport and Physical Education, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Denis ČauševićFaculty of Sport and Physical Education, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Cristina Ioana AlexeDepartment of Physical Education and Sports Performance, Faculty of Movement, Sports and Health Sciences, "Vasile Alecsandri" University of Bacau, Bacau, Romania.
Babina RaniDepartment of Physical Rehabilitation & Medicine (Physiotherapy), Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Corina Ramona DulceanuDepartment of Physical Education and Sport Performance, Faculty of Physical Education and Sport, Aurel Vlaicu University of Arad, Arad, România.
Ensar AbazovićFaculty of Sport and Physical Education, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Gabriel Stanica LupuDepartment of Physical and Occupational Therapy, Faculty of Movement, Sports and Health Sciences, "Vasile Alecsandri" University of Bacau, Bacau, Romania.
Dan Iulian AlexeDepartment of Physical and Occupational Therapy, Faculty of Movement, Sports and Health Sciences, "Vasile Alecsandri" University of Bacau, Bacau, Romania.
University of Bacău · ROUniversity of Sarajevo · BAAurel Vlaicu University of Arad · ROPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

body compositionfitnessperformancepowerteam sports

Identifiers

PMID37877119
PMCPMC10593457
OpenAlexW4387459989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.