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      What Variables Allow the Differentiation between More and Less Successful Adolescent Volleyball Players?

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          Abstract

          Kinanthropometric and physical fitness variables have been habitually used for the detection of sports talent in adolescent populations. Considering these variables, players who obtained better scores than their peers in kinanthropometric and physical fitness variables have been traditionally selected for promotion in their teams, without taking into account the possible effect of the maturation process. The aim of the present study was to analyse the differences between adolescent volleyball players in terms of success assessment and the age category, as well as to identify variables that may predict success in volleyball. A total of 101 volleyball players in the U14 age category (28 boys and 73 girls; age = 13.28 ± 0.49 years) and 99 players in the U16 age category (20 boys and 79 girls; age = 15.24 ± 0.59 years) participated in the study. Significant differences were observed in biological maturation in male groups (p < 0.001–0.041), kinanthropometric variables related to bone structure and muscle mass in male groups (p < 0.001–0.048), in variables related to adipose tissue in the U16 female group (p = 0.012–0.032) and in physical fitness tests related to muscle strength and power (p < 0.001–0.049), indicating that more successful (MS) players showed a more advanced biological maturation process, higher values of kinanthropometric variables related to bone structure and muscle mass, and lower values in variables related to adipose tissue, as well as higher levels of physical fitness. The difference in biological maturation and its relationship with structural and muscular anthropometric variables in boys, and physical fitness tests related to muscle strength and power in both boys and girls, are of great importance in the selection process of sports talent in volleyball. These findings should be considered by clubs and coaches, who could be discarding players who could improve their sports performance in later stages when their maturational development is equalised.

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          Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

          Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalisability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to cohort studies, case-control studies and cross-sectional studies and four are specific to each of the three study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers. This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, one or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated Web site (http://www.strobe-statement.org/) should be helpful resources to improve reporting of observational research. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.
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            An assessment of maturity from anthropometric measurements.

            The range of variability between individuals of the same chronological age (CA) in somatic and biological maturity is large and especially accentuated around the adolescent growth spurt. Maturity assessment is an important consideration when dealing with adolescents, from both a research perspective and youth sports stratification. A noninvasive, practical method predicting years from peak height velocity (a maturity offset value) by using anthropometric variables is developed in one sample and cross-validated in two different samples. Gender specific multiple regression equations were calculated on a sample of 152 Canadian children aged 8-16 yr (79 boys; 73 girls) who were followed through adolescence from 1991 to 1997. The equations included three somatic dimensions (height, sitting height, and leg length), CA, and their interactions. The equations were cross-validated on a combined sample of Canadian (71 boys, 40 girls measured from 1964 through 1973) and Flemish children (50 boys, 48 girls measured from 1985 through 1999). The coefficient of determination (R2) for the boys' model was 0.92 and for the girls' model 0.91; the SEEs were 0.49 and 0.50, respectively. Mean difference between actual and predicted maturity offset for the verification samples was 0.24 (SD 0.65) yr in boys and 0.001 (SD 0.68) yr in girls. Although the cross-validation meets statistical standards for acceptance, caution is warranted with regard to implementation. It is recommended that maturity offset be considered as a categorical rather than a continuous assessment. Nevertheless, the equations presented are a reliable, noninvasive and a practical solution for the measure of biological maturity for matching adolescent athletes
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              Circulating Testosterone as the Hormonal Basis of Sex Differences in Athletic Performance

              Abstract Elite athletic competitions have separate male and female events due to men’s physical advantages in strength, speed, and endurance so that a protected female category with objective entry criteria is required. Prior to puberty, there is no sex difference in circulating testosterone concentrations or athletic performance, but from puberty onward a clear sex difference in athletic performance emerges as circulating testosterone concentrations rise in men because testes produce 30 times more testosterone than before puberty with circulating testosterone exceeding 15-fold that of women at any age. There is a wide sex difference in circulating testosterone concentrations and a reproducible dose-response relationship between circulating testosterone and muscle mass and strength as well as circulating hemoglobin in both men and women. These dichotomies largely account for the sex differences in muscle mass and strength and circulating hemoglobin levels that result in at least an 8% to 12% ergogenic advantage in men. Suppression of elevated circulating testosterone of hyperandrogenic athletes results in negative effects on performance, which are reversed when suppression ceases. Based on the nonoverlapping, bimodal distribution of circulating testosterone concentration (measured by liquid chromatography–mass spectrometry)—and making an allowance for women with mild hyperandrogenism, notably women with polycystic ovary syndrome (who are overrepresented in elite athletics)—the appropriate eligibility criterion for female athletic events should be a circulating testosterone of <5.0 nmol/L. This would include all women other than those with untreated hyperandrogenic disorders of sexual development and noncompliant male-to-female transgender as well as testosterone-treated female-to-male transgender or androgen dopers.
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                Author and article information

                Journal
                J Hum Kinet
                J Hum Kinet
                JHK
                Journal of Human Kinetics
                Termedia Publishing House
                1640-5544
                1899-7562
                15 July 2023
                July 2023
                : 87
                : 229-242
                Affiliations
                [1 ]International Kinanthropometry Chair, Universidad Católica de Murcia (UCAM), Murcia, Spain.
                [2 ]Faculty of Sport Sciences, Universidad Católica de Murcia (UCAM), Murcia, Spain.
                [3 ]Centre for Olympic Studies, Universidad Católica de Murcia (UCAM), Murcia, Spain.
                Author notes
                [* ]Correspondence: rvaquero@ 123456ucam.edu
                Author information
                https://orcid.org/0000-0003-0234-7756
                https://orcid.org/0000-0003-2708-4817
                https://orcid.org/0000-0002-2315-3777
                https://orcid.org/0000-0002-4519-1635
                Article
                166107
                10.5114/jhk/166107
                10407323
                a384e124-cee1-4f87-a986-82de8691225e
                Copyright: © Academy of Physical Education in Katowice

                This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) ( https://creativecommons.org/licenses/by/4.0/). This license lets others distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation.

                History
                : 29 April 2022
                : 07 September 2022
                Categories
                Research Paper

                body composition,youth,team sport,performance
                body composition, youth, team sport, performance

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