Discriminating factors of the kinanthropometric profile of young athletes from different sports
Background: Body morphology, due to its simple applicability, is used to help coaches make decisions during the process of identifying and selecting talent in sports. Objective: to analyze the discriminative kinanthropometric patterns of young Brazilian athletes in different sports. Methods: We eval...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | Portuguese |
| Published: |
Instituto Brasileiro de Pesquisa e Ensino em Fisiologia do Exercício
2023-04-01
|
| Series: | Revista Brasileira de Prescrição e Fisiologia do Exercício |
| Subjects: | |
| Online Access: | http://www.rbpfex.com.br/index.php/rbpfex/article/view/2704 |
| _version_ | 1827396417989115904 |
|---|---|
| author | Tatianny de Macêdo Cesário Cláudio Hélio Lobato Lobato Alexandre Bulhões-Correia Paulo Almeida-Neto Breno Guilherme de Araújo Tinôco Cabral |
| author_facet | Tatianny de Macêdo Cesário Cláudio Hélio Lobato Lobato Alexandre Bulhões-Correia Paulo Almeida-Neto Breno Guilherme de Araújo Tinôco Cabral |
| author_sort | Tatianny de Macêdo Cesário |
| collection | DOAJ |
| description | Background: Body morphology, due to its simple applicability, is used to help coaches make decisions during the process of identifying and selecting talent in sports. Objective: to analyze the discriminative kinanthropometric patterns of young Brazilian athletes in different sports. Methods: We evaluated 83 young males (age: 13.1 ± 2.4), 60 of whom were athletes (16-soccer, 11-tennis, 20-swimming, and 13-rowing) and 23 non-athletes (Control group). We evaluated the kinanthropometric profile by dual-energy x-ray emission absorptiometry and by anthropometry. Subsequently, through algorithms programmed in “R” language, a discriminant model was created based on the circumference variables: biceps, hips, waist, and leg; the bone diameters of the humerus and femur, and the components of body composition: total lean mass, total fat mass, bone mineral density, bone mineral content, triceps skinfold, and body adiposity index. Results: Discriminant model was able to discriminate soccer athletes in 93.8% (F:32.098; p=0.000), tennis athletes in 81.8% (F:24.060; p=0.0004), rowing athletes in 80% (F:28.031; p=0.0001), swimming at 100% (F:41.899; p<0.000) and the control group at 91.3% (F:30.132; p<0.0001). In addition, the high bone mineral density was important for the discrimination of soccer athletes (p<0.001), the low body adiposity index for the discrimination of swimming athletes (p<0.001), and the high levels of lean mass for the discrimination of rowers (p<0.001). Conclusion: We conclude that morphological patterns can be used safely, helping to discriminate young athletes from different sports; thus, one more tool to be used in the processes of detection and guidance of young people with talent in the sport. |
| first_indexed | 2024-03-08T18:50:41Z |
| format | Article |
| id | doaj.art-173eb6e440b2461984addbf89bc48162 |
| institution | Directory Open Access Journal |
| issn | 1981-9900 |
| language | Portuguese |
| last_indexed | 2024-03-08T18:50:41Z |
| publishDate | 2023-04-01 |
| publisher | Instituto Brasileiro de Pesquisa e Ensino em Fisiologia do Exercício |
| record_format | Article |
| series | Revista Brasileira de Prescrição e Fisiologia do Exercício |
| spelling | doaj.art-173eb6e440b2461984addbf89bc481622023-12-28T20:04:23ZporInstituto Brasileiro de Pesquisa e Ensino em Fisiologia do ExercícioRevista Brasileira de Prescrição e Fisiologia do Exercício1981-99002023-04-01171081281372704Discriminating factors of the kinanthropometric profile of young athletes from different sportsTatianny de Macêdo Cesário0Cláudio Hélio Lobato Lobato1Alexandre Bulhões-Correia2Paulo Almeida-Neto3Breno Guilherme de Araújo Tinôco Cabral4Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.Background: Body morphology, due to its simple applicability, is used to help coaches make decisions during the process of identifying and selecting talent in sports. Objective: to analyze the discriminative kinanthropometric patterns of young Brazilian athletes in different sports. Methods: We evaluated 83 young males (age: 13.1 ± 2.4), 60 of whom were athletes (16-soccer, 11-tennis, 20-swimming, and 13-rowing) and 23 non-athletes (Control group). We evaluated the kinanthropometric profile by dual-energy x-ray emission absorptiometry and by anthropometry. Subsequently, through algorithms programmed in “R” language, a discriminant model was created based on the circumference variables: biceps, hips, waist, and leg; the bone diameters of the humerus and femur, and the components of body composition: total lean mass, total fat mass, bone mineral density, bone mineral content, triceps skinfold, and body adiposity index. Results: Discriminant model was able to discriminate soccer athletes in 93.8% (F:32.098; p=0.000), tennis athletes in 81.8% (F:24.060; p=0.0004), rowing athletes in 80% (F:28.031; p=0.0001), swimming at 100% (F:41.899; p<0.000) and the control group at 91.3% (F:30.132; p<0.0001). In addition, the high bone mineral density was important for the discrimination of soccer athletes (p<0.001), the low body adiposity index for the discrimination of swimming athletes (p<0.001), and the high levels of lean mass for the discrimination of rowers (p<0.001). Conclusion: We conclude that morphological patterns can be used safely, helping to discriminate young athletes from different sports; thus, one more tool to be used in the processes of detection and guidance of young people with talent in the sport.http://www.rbpfex.com.br/index.php/rbpfex/article/view/2704anthropometryathletessporttalent selection |
| spellingShingle | Tatianny de Macêdo Cesário Cláudio Hélio Lobato Lobato Alexandre Bulhões-Correia Paulo Almeida-Neto Breno Guilherme de Araújo Tinôco Cabral Discriminating factors of the kinanthropometric profile of young athletes from different sports Revista Brasileira de Prescrição e Fisiologia do Exercício anthropometry athletes sport talent selection |
| title | Discriminating factors of the kinanthropometric profile of young athletes from different sports |
| title_full | Discriminating factors of the kinanthropometric profile of young athletes from different sports |
| title_fullStr | Discriminating factors of the kinanthropometric profile of young athletes from different sports |
| title_full_unstemmed | Discriminating factors of the kinanthropometric profile of young athletes from different sports |
| title_short | Discriminating factors of the kinanthropometric profile of young athletes from different sports |
| title_sort | discriminating factors of the kinanthropometric profile of young athletes from different sports |
| topic | anthropometry athletes sport talent selection |
| url | http://www.rbpfex.com.br/index.php/rbpfex/article/view/2704 |
| work_keys_str_mv | AT tatiannydemacedocesario discriminatingfactorsofthekinanthropometricprofileofyoungathletesfromdifferentsports AT claudioheliolobatolobato discriminatingfactorsofthekinanthropometricprofileofyoungathletesfromdifferentsports AT alexandrebulhoescorreia discriminatingfactorsofthekinanthropometricprofileofyoungathletesfromdifferentsports AT pauloalmeidaneto discriminatingfactorsofthekinanthropometricprofileofyoungathletesfromdifferentsports AT brenoguilhermedearaujotinococabral discriminatingfactorsofthekinanthropometricprofileofyoungathletesfromdifferentsports |