Evidence map›Paper›PMID 31666894›Full record

ArticleJournal of human kinetics2019

Can Anthropometric Variables and Maturation Predict the Playing Position in Youth Basketball Players?

Karol Gryko, Petr Stastny, Anna Kopiczko, Kazimierz Mikołajec, Ondrej Pecha, Krzysztof Perkowski

Abstract read
In one paragraph

Article in Journal of human kinetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

6 authors.

Karol GrykoDepartment of Athletics and Team Sport Games, Józef Piłsudski University of Physical Education, Warsaw, Poland.
Petr StastnyFaculty of Physical Education and Sport, Prague, Department of Sport Games, Charles University, Prague, Czech Republic.
Anna KopiczkoDepartment of Anthropology and Health Promotion, Józef Piłsudski University of Physical Education, Warsaw, Poland.
Kazimierz MikołajecDepartment of Team Sport Games, Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Ondrej PechaTechnology Centre of the Czech Academy of Sciences, Prague, Czech Republic.
Krzysztof PerkowskiDepartment of Athletics and Team Sport Games, Józef Piłsudski University of Physical Education, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropometric diagnoses predict the most appropriate on-court position for a certain player and are important in the long-term planning of basketball training programs. This study provides anthropometric characteristics and body composition profiles of Polish youth national team players (U-14, U-15, U-16 and U-18). The aim of this research was to determine the somatic characteristics of basketball players regarding particular on-court positions. The sample population consisted of 109 elite basketball players, who played in national teams in four age categories: U-14, U-16, U-18 U-20. An analysis of the obtained results revealed differences between the younger (U-14, U-15 and U-16) and older groups (U-18 and U-20) in terms of length, width and circumference measurements and body mass (3.6-9.3%), as well as subcutaneous fat measured by the skinfold thickness method (14.3-33.7%). ANCOVA with maturity offset as the covariate variable showed differences in body height (p < 0.05, R

Indexed as

anthropometric indicatorsbasketball playerspeak height velocityprofessional sportselectionsomatotype

Identifiers

PMID31666894
PMCPMC6815069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.