Anthropometric profile in young swimmers

Rubén Jiménez-Alfageme, Belén Redón Jordán, Juan D. Hernández Camacho, Isabel Sospedra, Alberto Ferriz-Valero, José Miguel Soriano, José Miguel Martínez-Sanz

Anthropometric profile in young swimmers

Cultura, Ciencia y Deporte, vol. 17, no. 52, 2022

Universidad Católica San Antonio de Murcia

Rubén Jiménez-Alfageme

Universidad de Alicante, España


Belén Redón Jordán

Universidad de Valencia, España


Juan D. Hernández Camacho

Universidad Pablo de Olavide, España


Isabel Sospedra *

Universidad de Alicante, España


Alberto Ferriz-Valero

Universidad de Alicante, España


José Miguel Soriano

Universidad de Valencia, España


José Miguel Martínez-Sanz

Universidad de Alicante, España


Received: 15 december 2021

Accepted: 17 march 2022

Abstract: The study of body dimensions and proportions through anthropometry is important for the identification of young talents in swimming. Anthropometric studies of swimmers in the Spanish population are scarce. The main objective of this study is the description of anthropometric profile in young swimmers, differentiated by sex and styles. 34 swimmers (19 boys and 15 girls) of national competitive level, aged between 14-17 years were analyzed. Measurements were taken by two accredited anthropometrists following the Society for the Advancement of Kinanthropometry (ISAK) anthropometric protocol. Body composition was calculated using the 4-component model and the Heath-Carter somatotype. The sample was differentiated between swimming strokes to examine possible differences between groups. Significant differences (p <0.05) were observed by sex in basic measurements, folds, perimeters and diameters, but no significant differences were observed by styles. The somatotype of the sample was balanced mesomorphic, being ectomesomorphic in boys and mesoendomorphic in girls, with values ​​similar to those observed in the bibliography. Anthropometric assessment should be considered to monitor the development and detection of possible sports talents in swimming.

Keywords: kinanthropometry, swimming, teenagers, body composition, somatotype, sport talent.

Resumen: El estudio de las dimensiones y proporciones corporales mediante la antropometría es importante para la identificación de jóvenes talentos en natación. Los estudios antropométricos de nadadores en población española son escasos. El objetivo principal del presente estudio es describir el perfil antropométrico en jóvenes nadadores, diferenciado por sexos y estilos. Se analizaron 34 nadadores (19 chicos y 15 chicas) de nivel competitivo nacional, con edades comprendidas entre 14-17 años. Dos antropometristas acreditados tomaron las medidas siguiendo el protocolo antropométrico de la Society for the Advancement of Kinanthropometry (ISAK). Se calculó la composición corporal mediante el modelo de 4 componentes y el somatotipo según Heath-Carter. Se diferenció la muestra entre estilos de natación para examinar posibles diferencias entre grupos. Se observaron diferencias significativas (p<0,05) por sexo en medidas básicas, pliegues, perímetros y diámetros, pero no se observan diferencias significativas por estilos. El somatotipo de la muestra fue mesomórfico balanceado, siendo ectomesomórfico en chicos y mesoendomórfico en chicas, siendo valores similares a los observados en la bibliografía. La valoración antropométrica debe ser considerada para monitorizar el desarrollo y detección de posibles talentos deportivos en natación.

Palabras clave: cineantropometría, natación, adolescentes, composición corporal, somatotipo, talento deportivo.

Introduction

Swimming is a sport whose success is given by the production of strength with a highly coordinated and efficient technique, as well as a good cardiorespiratory ability. This is why a specific anatomy increases the chances of success among swimmers, since they are characterized by having long limbs and with great muscle development (Burke, 2009; Cabañas & Esparza, 2009), allowing them to move a greater amount of water and make the propulsion also greater (Belloch et al., 2013). Competitive swimming is framed in different styles: crawl, breaststroke, back and butterfly, and includes swimming distances of 50, 100, 200, 400, 800 and 1500m in swimming pool (RFEN General Regulation, 2019). Even so, this anatomy offers long and thin limbs that give us little surface to move through the water, so surfaces (such as the length of the hand) will be a factor to consider in such identification (Belloch et al., 2013; Valero et al., 2020). Similarly, a higher percentage of body fat compared to other competitive sports is an advantage in the anthropometry of swimmers and especially swimmers (Cabañas & Esparza 2009; Bagnall & Kellett, 1977). The complexity of swimming as a sport discipline does not only come from being an early initiation sport, but is the only one of the Olympic sports in which it competes outside the natural environment of human life (González Revuelta et al., 1998),therefore, it is necessary to have certain body and functional characteristics in order to reach the speed required for the triumph (Pancorbo & Rodríguez, 1986).

Thus, the study of their dimensions and body proportions allows a classification of the most anatomically predisposed to swimming, starting from a profile suitable for this sport, since a particular feature of elite swimming is the appearance of outstanding athletes from an early age (12-14 years) (Cabañas & Esparza, 2009). This body analysis can be performed through different methods such as anthropometry, electrical bioimpedance or absorptiometry with dual energy X-rays (García et al., 2014; Milsom et al., 2015; Requena et al., 2017). Anthropometry has been used in a wide variety of sports such as football, basketball, volleyball or water polo (Alejandro et al., 2015; Martínez et al., 2015; Milić et al., 2017; Perroni et al., 2015).

In swimming has been used recently in the works of Shaw and Mujika (2018) where they observed that open water swimmers have lower weight and lower index of fat-free mass than pool swimmers, but concluding the great potential of the technique; Morais et al. (2017), which determine that both young men and women improved performance in a 3-year follow-up and conclude that this performance improvement is a multifactorial phenomenon where anthropometry, kinematics and efficiency are determinants; or Figueiredo et al. (2016), where they conclude that anthropometry is the most determinant variable in the performance of sprint in the crawl style in young swimmers, although it is true that there are few studies done in Spanish swimmers in which their anthropometric characteristics are described. Kineanthropometric, the swimmer is defined as a tall, light, broad-shouldered athlete with very long limbs, mainly in the upper limb and hand. They have an ectomesomorphic middle somatotype in men and endomesomorph in women (Cabañas & Esparza, 2009; Martínez-Sanz et al., 2012).

For this reason, the aim of this work is to describe the anthropometric profile in young swimmers, differentiated by gender and style.

Materials and methods

Study population

34 adolescent swimmers were evaluated (15 women and 19 men) belonging to 3 clubs of the Valencian Community, competing at the national level, in the modalities of crawl, back, armlet and butterfly with ages between 14 and 17 years (15.44 0.92). With a daily workout of between 2 and 3 hours, completing each week approximately 15 hours of training. The data were taken in pre-competition season. Each participant was explained the nature and purpose of the study, obtaining from all of them informed consent from the heads of the clubs, legal guardians and athletes.

Instruments y procedures

The body study was based on international standards recommended by the International Society for the Advancement of Kinanthropometry (ISAK), and were taken by accredited anthropometrists ISAK 1 and 2, without exceeding the technical error of intraobserver measurement indicated by the ISAK (5% for folds and 1% for perimeters and diameters) (Cabañas & Esparza, 2009). Measuring instruments were Tanita scale (accuracy 100g), Cescorf anthropometric tape (accuracy 1mm), dermographic pencil, anthropometric drawer, Cescorf plicalimeter (accuracy 0.5mm), Cescorf short branch pachymeter (accuracy 1mm), Siber-Hegner long branch pachymeter (precision 1mm) and segometer (precision 1mm). The body composition (CC) was calculated by means of models of four components: fat mass using the Withers equation, muscle mass through the Lee equation and bone mass with the Rocha equation (Alvero et al. 2010).

For the somatotype calculation, the average somatotype was determined, the Heath-Carter method was followed and its classification according to the somatotypical categories of Duquet and Carter (Cabañas & Esparza, 2009). Data pertaining to anthropometric analysis and somatotype were expressed according to the sex of swimmers as previously done in the existing literature (Lozano-Berges et al., 2017; Martínez et al., 2011; Morais et al., 2013; Zuniga et al., 2011).

Statistical analysis

A descriptive analysis (mean ± standard deviation) was carried out in each of the dependent variables. A Shapiro-Wilk normal test was applied, obtaining a normal distribution of all variables. For this reason, a T-test of independent muestas was applied in order to observe the differences between men and women. Additionally, an ANOVA-1 factor test was applied in order to observe the differences between the four swimming styles, considering the correction of bonferroni as an ad-hoc test to avoid incurring type II error. The significant value was set to p<0.05, except for bonferroni correction (p<0.008). Statistical software Statistics Product and Service Solutions (SPSS‍ Statistics Version 15.0; International Business Machines Corp.-IBM‍-, Madrid, Spain) was used for the analysis.

Results

Table 1 shows the average anthropometric values obtained in the total sample and divided by sex. In the values of weight, height, wingspan, lean mass, circumference of contracted arm and calf, diameter of the humerus, femur, biceps, triceps, subscapular, supraspinal and thigh, endomorphia and mesomorphia, a significant difference is observed (p<0.05) between both sexes. Figure 1 shows the overall result and sex of the somatotype by somatocarte. The somatotype of the total sample is balanced mesomorphic (dominant musculoskeletal development, and relative linearity and relative fat are equal) being, in the case of ectomesomorphic males (where relative linearity predominates, followed by musculoskeletal development, with lower relative fat), and in the case of mesoendomorphic women (where musculoskeletal development predominates, followed by relative fat, with lower relative linearity).

If we divide the swimmers studied by the swimming style in which they are specializing, we find among them a higher percentage in the practice of the crawl style (35.3%) and butterfly (26.5%), against the back styles (20.6%) and breaststroke (17.6%). Table 2 shows the anthropometric variables differentiated by styles and without division by sex. Comparing the crawl and the back, significant differences are found in the supraspinal fold and calf. Similarly, between the crawl and the armhole, and the crawl and the butterfly there are differences in the fold of the calf, but there are no differences by styles in the rest of the anthropometric variables. In addition, there is a significant difference in the value of endomorphia between the four styles. Following this division, in terms of the somatotype represented in the somatocarta of each style and divided by sexes (Figures 2, 3, 4, 5), it is observed in the case of crawl, values similar to that of the total sample, both group and differentiated between sexes. In the case of the back, the total somatotype of the sample is ectomesomorphic. Differentiated by sex, it is found that men present the same somatotype as men in the total sample, whereas women present a central somatotype. In the case of the armlet, a balanced mesomorphic group somatotype is obtained, with a result similar to that presented in the total sample for men, and with different somatotype in women. Finally, in the case of butterflies, endomesomorphic group results similar to those of the total sample differentiated by sex are expressed for both men and women.

Table 1
Values of mean and standard deviation of anthropometric variables by sex
Values of mean and standard deviation of anthropometric variables by sex


Table 2
Values of mean and standard deviation of anthropometric variables by styles
Values of mean and standard deviation of anthropometric variables by styles


Somatochart of the total sample (a), and differentiated between men (b) and women (c)
Figure 1
Somatochart of the total sample (a), and differentiated between men (b) and women (c)


Somatochart of the crawl group (a), and differentiated between men (b) and women (c)
Figure 2
Somatochart of the crawl group (a), and differentiated between men (b) and women (c)


Somatochart of the backstroke group (a), and differentiated between men (b) and women (c)
Figure 3
Somatochart of the backstroke group (a), and differentiated between men (b) and women (c)


Somatochart of the breaststroke group (a), and differentiated between men (b) and women (c)
Figure 4
Somatochart of the breaststroke group (a), and differentiated between men (b) and women (c)


Somatochart of the butterfly group (a), and differentiated between men (b) and women (c)
Figure 5
Somatochart of the butterfly group (a), and differentiated between men (b) and women (c)


Discussion

Among the main results obtained in this study, we found significant differences (p<0.05) in the values of weight, size, wingspan, lean mass, contracted arm and calf perimeter, humerus diameter, femur, biceps, triceps, subscapular, supraspinal and thigh, endomorphia and mesomorphia, which are observed between both sexes and are detailed in Table 1. It has also been found that the somatotype of the total sample is balanced mesomorphic, but in the case of males it is ectomesomorphic and by females, mesoendomorphic.

Studying the body composition of athletes is useful to assess their evolution, growth, influence of training, dietary planning, as well as the selection and orientation of potential talents (Cabañas & Esparza, 2009), since the morphological state of swimmers significantly affects performance, and causes some predisposition of the organism for the technique of said sport (Popo et al., 2010; Valero et al. 2020). When a person reaches physical maturity, it is too late to start an effective training program in the pool, so anthropometric assessment should begin to be performed in the preadolescence or pre-pubert (Bagnall & Kellett, 1977; Carter & Ackland, 1994; Ramírez & Rivera, 2006). Tanner stated that the lack of a suitable physique can make, despite the diversity that can be observed, practically impossible for an athlete to achieve success (Tanner, 1964). On the other hand, Lee (1993) argues that children grow at different rates at different ages, and change their body proportions, which can put limitations on their execution abilities. Nevertheless, the analysis of body composition should help to quantify the individual potential for success in certain sports (Ramírez & Rivera, 2006; Stager & Babington, 1997).

An article analyzing different performance variables in young swimmers states that the main predictive variables are anthropometric measurements (especially in men), followed by physical fitness (aerobic speed and resistance) and technical domains (especially in women) (Saavedra et al., 2010). In another study conducted on 10 selected swimmers of the national team of Bosnia and Herzegovina that aimed to determine the relationships between some morphological characteristics and the result in swimming to facilitate a system of selection of young swimmers, found that anthropometric measurements directly affect endurance, dynamism, body position in water, technique, motor skills, speed, strength, coordination, functional capacity, etc. and morphological variables were found to have a direct impact on swimming results (Valero et al. 2020). It must also be recognized that there are other important factors such as nutrition, training, technique, facilities, etc. (Burke, 2009; Stager & Babington, 1997).

The importance of the higher height lies in the fact that the wave of water generated by the movement has a lower amplitude than in the case of its smaller competitors (Toussaint & Truijens, 2005), there are studies that show that the best swimmers tend to be taller and have longer limbs (Pacheco, 1996). The greater weight that swimmers have compared to their sedentary peers is due to the greater muscle mass compared to fat mass, presenting a general ectomesomorphic somatotype (Carter & Ackland, 1994; Peltenburg et al., 1984), predominantly ectomesomorphic in men, and endomesomorphic in women (Cabañas & Esparza, 2009). In addition, McNeill and Livson (1963) have suggested that height/weight ratios are indicative of "construction linearity" are evident at age six and persist during adolescence.

In terms of body composition, the literature shows that men have greater osteomuscular development than women, which, on the contrary, present a higher content of fat mass than men (Cabañas & Esparza, 2009; Bagnall & Kellett, 1977), something that is confirmed in the present work. This tendency to a high muscle development associated with a strong linearity is more noticeable with the level increase of swimmers (Fernandes et al., 2002). In addition, studies conducted in athletes present a greater mesomorphia than non-athletes (Pacheco, 1996). On the other hand, a higher quantity of fat mass provides advantages such as greater buoyancy, resulting in energy savings (Pendergast et al., 1977). The values of fat mass and muscle mass from various studies and compared with the study performed are similar. Even so, the average value of the fat and muscle percentage is not established, since it has not been possible to relate a specific percentage with a higher sports performance (Cabañas & Esparza, 2009; Burke, 2009).

The literature also describes the somatotype of elite swimmers as 2-5-3, belonging to an ectomesomorphic somatotype (Fernandes et al., 2002), while for swimmers it is reported as 3-4-3, belonging to a central somatotype (Stager & Babington, 1997), coinciding with the values obtained in this study. In a study of potential Olympic swimmers, it was observed that the whole group was limited to one area in the somatotype graph, which is consistent with what Tanner described (1964), being the low endomorphic component, the mesomorph quite high and with average values in ectomorphy, obtaining results similar to those shown in this study. In terms of ectomorphy the two sexes are similar (Bagnall & Kellett, 1977).

Comparing different similar studies with the present study, we observed values similar to the somatotype proposed for elite swimmers, being superior the endomorphia in the swimmers studied with respect to the reference somatotype, but staying within the same area within the somatocarta despite this difference. Over time, it appears that all swimmers become less endomorphic and more mesomorphic and ectomorphic (Carter & Ackland, 1994).

By differentiating according to the swimming style, Ackland (1999) explains the size and weight are different between elite swimmers of different swimming styles, so, breaststroke swimmers are inferior to crawlistas and backstroke swimmers in terms of size, without significant differences in weight, but still have a lower body weight than crawlista and espaldista. This statement is not met in the data obtained in the study because no significant differences in height and weight were found among swimmers of different styles, as was observed in the study of the Galician plan of sports technification (Ramiro & Rivera, 2006). However, in the anthropometric study of swimmers and waterpolists aged 13 to 16 years, a weight, size and size of crawlistas were significantly higher than those of Backstroke swimmers and Breaststroke swimmers. Brachians present the smallest measures for these variables (Lätt, 2011). Other studies have reported significant differences in function of the somatotype divided by styles and distance of the specialty of each swimmer (Carter & Ackland, 1994; Clarys, 1975; Tanner, 1964).

In another bibliographic review by Fernández & Alvero (2006) in which anthropometric data on body composition and somatotype of Spanish publications were collected from 1984 to 2005, values of fat percentage of 23 are obtained in one of the studies,9% using the Siri equation, in teens. In another study of this bibliographic review, values of 24-28% in butterfly swimmers and 26-29% in crawl swimmers were obtained using the Carter equation, and in other values of 10.7% in breaststroke, 10.8% in butterfly, 11.1% in back and 10.8% in crawl with the Faulkner equation (Fernandez & Alvero, 2006). Likewise, somatotype values are referenced by various studies, obtaining values of 3,20-3,41-3,03 in adolescent swimmers; 2,2-4,8-3,0 in crawl swimmers, 2,4-5,0-2,7 in backstroke swimmers, 2,1-5,1-2,7 in breaststroke swimmers and 2,2-5,2-2,6 in butterfly swimmers, in high level swimmers, among other studies referenced (Fernandez & Alvero, 2006), these data are similar to those found in the present work: 3,2-4,1-2,9 for crawl swimmers, 2,6-3,9-3,3 for backstroke swimmers, 2,7-4,4-2,9 for breaststroke swimmers and 3,7-4,1-2,8 for butterfly swimmers.

Finally, they are highlighted as limitations of the study that was not considered the maturing moment of swimmers and swimmers being this one of special importance for obtaining more solid conclusions. Another limitation is the size of the sample, since there were only 19 men and 15 women, which made it difficult to make comparisons of styles by sex. In addition, the study design did not consider other factors that condition the development of sports talent such as: psychological factors, physical exercise, diet, social, etc. This research generates relevant knowledge to continue a line of research on anthropometric measures and their possible relationship with sports performance and identification of sports talent.

As conclusions of the present study, it is found that the related kineanthropometric parameters that can show relation with the sport performance in swimming and characterize the swimmers are the size, the length of the extremities and the body surfaces, along with a high muscle development and a percentage of fat slightly higher than the rest of athletes. In addition, the swimmers included in the present study have a balanced mesomorphic somatotype, being this ectomesomorphic in men and mesoendomorphic in women. These anthropometric variables should be considered to monitor the development and detection of potential sports talents in swimming.

Funding sources

The authors state that this research was not funded.

Conflicts of interest

The authors declare that there are no conflict of interest.

Contribution of the authors

J.M.M.-S., J.M.S., B.R.J. and R.J-A. desgined the study; J.D.H.C., A.F-V. and I.S. review and supervised the study; J.M.M.-S., B.R.J. and R.J-A. carried out the data collection; I.S., J.M.S., J.D.H.C. and A.F-V. interpreted the data; J.M.M.-S., J.M.S., A.F-V., I.S. and B.R.J. wrote the manuscript. J.M.M.-S., J.M.S., J.D.H.C. and R.J-A. reviewed and edited the manuscript. All authors approved the final version of the manuscript. All authors have read and accepted the published version of the manuscript.

Acknowledgments

The authors thank the participants for their selfless participation in the study.

Bibliography

Ackland, T. (1999). Talent Identification: What makes a champion swimmer? Talent Identification: What makes a champion swimmer? In R. Sanders, & B. Gibson (Eds.), ISBS 99, Scientific Proceedings of the XVII International Symposium on Biomechanics in Sports (Perth, WA ed., Vol. Stand alone, pp. 67-74). Edith Cowan University.

Alejandro, V., Santiago, S., Gerardo, V. J., Carlos, M. J., & Vicente, G.-T. (2015). Anthropometric Characteristics of Spanish Professional Basketball Players. Journal of Human Kinetics, 46, 99–106. https://doi.org/10.1515/hukin-2015-0038

Alvero, J.R., Cabañas, D., Herrero, A., Martinez, L., Moreno, C., Porta, J., Sillero, M., Sirvent, J. (2010). Protocolo de valoración de la composición corporal para el reconocimiento médico-deportivo. Documento de consenso del Grupo Español de Cineantropometría (GREC) de la Federación Española de Medicina del Deporte (FEMEDE). Archivos de medicina del deporte: revista de la Federación Española de Medicina del Deporte y de la Confederación Iberoamericana de Medicina del Deporte, 139, 330–346.

Bagnall, K. M. & Kellett, D. W. (1977). A study of potential Olympic swimmers: I, the starting point. British Journal of Sports Medicine, 11(3), 127–132. http://dx.doi.org/10.1136/bjsm.11.3.127

Belloch, S. L., Quesada, J. I. P., Soriano, P. P., & Cuevas, Á. L. (2013). La investigación en biomecánica aplicada a la natación: Evolución histórica y situación actual. Citius, altius, fortius: humanismo, sociedad y deporte: investigaciones y ensayos, 6(2), 103–149.

Burke, L. (2009). Nutricion En El Deporte: Un Enfoque Practico. Ed. Médica Panamericana.

Cabañas Armesilla MD, Esparza F (2009). Compendio de cineantropometria. Madrid: CTO MEDICINA.

Carter, J. E. L., & Ackland, T. R. (Eds.). (1994). Kinanthropometry in Aquatic Sport: A Study of World Class Athletes (1st edition). Human Kinetics.

Clarys, J. P. (1975). Swimming II: Proceedings of the Second International Symposium on Biomechanics in Swimming, Brussels, Belgium. University Park Press.

Fernandes, R., Barbosa, T., Vilas-Boas, J.P. (2002). Fatores cineantropométricos determinantes em nataçao pura desportiva. Rev Bras de Cinentr y Desemp Hum. 4:67-79. https://doi.org/10.1590/%25x

Fernández S. & Alvero J.R.(2006) La producción científica en cineantropometría: datos de referencia de composición corporal y somatotipo. Arch Med Deporte. 23(111):17-35.

Figueiredo, P., Silva, A., Sampaio, A., Vilas-Boas, J. P., & Fernandes, R. J. (2016). Front Crawl Sprint Performance: A Cluster Analysis of Biomechanics, Energetics, Coordinative, and Anthropometric Determinants in Young Swimmers. Motor Control, 20(3), 209–221. https://doi.org/10.1123/mc.2014-0050

García, M., Martínez-Moreno, J. M., Reyes-Ortiz, A., Suarez Moreno-Arrones, L., García A, A., & Garcíacaballero, M. (2014). Changes in body composition of high competition rugby players during the phases of a regular season; influence of diet and exercise load. Nutricion Hospitalaria, 29(4), 913–921. https://doi.org/10.3305/nh.2014.29.4.7227

González Revuelta, M., Chelala, A., Raúl, J., & Gómez Urbina, R. (1998). Repercusión de los errores en el entrenamiento sobre la composición corporal y el somatotipo de un grupo de jóvenes que practican natación. Revista Cubana de Investigaciones Biomédicas, 17(3), 200–207.

Lätt, E. (2011). Selected anthropometrical, physiological and biomechanical parameters as predictors of swimming performance in young swimmers [Thesis]. http://dspace.ut.ee/handle/10062/18141

Lee, M. (Ed.). (1993). Coaching Children in Sport: Principles and Practice (1st ed. edition). Routledge.

Lozano-Berges, G., Gómez-Bruton, A., Matute-Llorente, Á., Julián-Almárcegui, C., Gómez-Cabello, A., González-Agüero, A., Casajús, J. A., & Vicente-Rodríguez, G. (2017). Assessing Fat Mass of Adolescent Swimmers Using Anthropometric Equations: A DXA Validation Study. Research Quarterly for Exercise and Sport, 88(2), 230–236. https://doi.org/10.1080/02701367.2017.1284976

Marfell-Jones, M., & Olds, T. (2007). Kinanthropometry X: Proceedings of the 10th International Society for the Advancement of Kinanthropometry Conference, Held in Conjunction with the 13th Commonwealth International Sport Conference. Routledge.

Martínez, J. G., Vila, M. H., Ferragut, C., Noguera, M. M., Abraldes, J. A., Rodríguez, N., Freeston, J., & Alcaraz, P. E. (2015). Position-specific anthropometry and throwing velocity of elite female water polo players. Journal of Strength and Conditioning Research, 29(2), 472–477. https://doi.org/10.1519/JSC.0000000000000646

Martínez, S., Pasquarelli, B. N., Romaguera, D., Arasa, C., Tauler, P., & Aguiló, A. (2011). Anthropometric characteristics and nutritional profile of young amateur swimmers. Journal of Strength and Conditioning Research, 25(4), 1126–1133. https://doi.org/10.1519/JSC.0b013e3181d4d3df

Martínez-Sanz, J. M., Mielgo-Ayuso, J., & Urdampilleta, A. (2012). Composición corporal y somatotipo de nadadores adolescentes federados. Revista Española de Nutrición Humana y Dietética, 16(4), 130–136. https://doi.org/10.14306/renhyd.16.4.59

Mcneill, D., & Livson, N. (1963). Maturation rate and body build in women. Child Development, 34, 25–32. https://doi.org/10.2307/1126824

Milić, M., Grgantov, Z., Chamari, K., Ardigò, L. P., Bianco, A., & Padulo, J. (2017). Anthropometric and physical characteristics allow differentiation of young female volleyball players according to playing position and level of expertise. Biology of Sport, 34(1), 19–26. https://doi.org/10.5114/biolsport.2017.63382

Milsom, J., Naughton, R., O’Boyle, A., Iqbal, Z., Morgans, R., Drust, B., & Morton, J. P. (2015). Body composition assessment of English Premier League soccer players: A comparative DXA analysis of first team, U21 and U18 squads. Journal of Sports Sciences, 33(17), 1799–1806. https://doi.org/10.1080/02640414.2015.1012101

Morais, J. E., Garrido, N. D., Marques, M. C., Silva, A. J., Marinho, D. A., & Barbosa, T. M. (2013). The influence of anthropometric, kinematic and energetic variables and gender on swimming performance in youth athletes. Journal of Human Kinetics, 39, 203–211. https://doi.org/10.2478/hukin-2013-0083

Morais, J. E., Silva, A. J., Marinho, D. A., Lopes, V. P., & Barbosa, T. M. (2017). Determinant Factors of Long-Term Performance Development in Young Swimmers. International Journal of Sports Physiology and Performance, 12(2), 198–205. https://doi.org/10.1123/ijspp.2015-0420

Pacheco del Cerro, J. L. (1996). Antropometría de atletas españoles de élite. Biomecánica, 4 (7), 127-130. https://doi.org/10.5821/sibb.v4i7.1583

Pancorbo, A.R., Rodríguez, A.C. (1986). Somatotipo de nadadores juveniles de alto rendimiento. Bol Cient Tec INDER ;1/2:30-5.

Peltenburg, A. L., Erich, W. B., Bernink, M. J., Zonderland, M. L., & Huisveld, I. A. (1984). Biological maturation, body composition, and growth of female gymnasts and control groups of schoolgirls and girl swimmers, aged 8 to 14 years: A cross-sectional survey of 1064 girls. International Journal of Sports Medicine, 5(1), 36–42. https://doi.org/10.1055/s-2008-1025878

Pendergast, D. R., Di Prampero, P. E., Craig, A. B., Wilson, D. R., & Rennie, D. W. (1977). Quantitative analysis of the front crawl in men and women. Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology, 43(3), 475–479. https://doi.org/10.1152/jappl.1977.43.3.475

Perroni, F., Vetrano, M., Camolese, G., Guidetti, L., & Baldari, C. (2015). Anthropometric and Somatotype Characteristics of Young Soccer Players: Differences Among Categories, Subcategories, and Playing Position. Journal of Strength and Conditioning Research, 29(8), 2097–2104. https://doi.org/10.1519/JSC.0000000000000881

Popo, A., Dedovic, D., Likic, S., Mulaosmanovic, S. (2010). Relations between some morphological dimensions and a result achievement in swimming of young swimmer representatives of B&H. Acta Kinesiologica 4, 1: 67-70.

Ramírez Farto, E., Rivera Lamingueiro, J. (2006). Plan gallego de tecnificación deportiva: Características morfológicas de sus nadadores . Efedeportes. 11; 103-13.

Reglamento General RFEN [Internet] Real Federación Española de Natación 2019. [Citada 16 enero 2021] Disponible en: https://rfen.es/es/section/reglamento-general

Requena, B., García, I., Suárez-Arrones, L., Sáez de Villarreal, E., Naranjo Orellana, J., & Santalla, A. (2017). Off-Season Effects on Functional Performance, Body Composition, and Blood Parameters in Top-Level Professional Soccer Players. Journal of Strength and Conditioning Research, 31(4), 939–946. https://doi.org/10.1519/JSC.0000000000001568

Saavedra, J. M., Escalante, Y., & Rodríguez, F. A. (2010). A multivariate analysis of performance in young swimmers. Pediatric Exercise Science, 22(1), 135–151. https://doi.org/10.1123/pes.22.1.135

Shaw, G., & Mujika, I. (2018). Anthropometric Profiles of Elite Open-Water Swimmers. International Journal of Sports Physiology and Performance, 13(1), 115–118. https://doi.org/10.1123/ijspp.2016-0741

Stager, J.M., Babington, J.P. (1997) Somatic Traits in the Selection of Potential Elite Swimmers. Kinesiology, Vol. 2, No. 1, pp. 39-50, 1997.

Tanner, J. M. (1964). Physique of the Olympic Athlete. Allen & Unwin. https://doi.org/10.1002/ajpa.1330220414

Toussaint, H., & Truijens, M. (2005). Biomechanical aspects of peak performance in human swimming. Animal Biology, 55(1), 17–40. https://doi.org/10.1163/1570756053276907

Valero, A. F., Sanz, J. M. M., Sáez, J. F., Pérez, S. S., & Anta, R. C. (2020). Perfil antropométrico de jóvenes triatletas y su asociación con variables de rendimiento. Archivos de medicina del deporte: revista de la Federación Española de Medicina del Deporte y de la Confederación Iberoamericana de Medicina del Deporte, 37(197), 169–175.

Zuniga, J., Housh, T. J., Mielke, M., Hendrix, C. R., Camic, C. L., Johnson, G. O., Housh, D. J., & Schmidt, R. J. (2011). Gender comparisons of anthropometric characteristics of young sprint swimmers. Journal of Strength and Conditioning Research, 25(1), 103–108. https://doi.org/10.1519/JSC.0b013e3181b62bf7

Author notes

* Correspondence: Isabel Sospedra López, isospedra@ua.es

Additional information

Short title: Anthropometry in swimmers

How to cite this article: Jiménez-Alfageme, R., Redón Jordán, B., Hernández Camacho, JD., Sospedra, I, Ferriz-Valero, A., Soriano, JM., Martínez-Sanz, JM. (2022). Anthropometric profile in young swimmers. Cultura, Ciencia y Deporte, 17(52), 69-88. http://doi.org/10.12800/ccd.v17i52.1845

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Cultura, Ciencia y Deporte
ISSN: 1696-5043
Vol. 17
Num. 52
Año. 2022

Anthropometric profile in young swimmers

RubénBelénJuan D.IsabelAlbertoJosé MiguelJosé Miguel Jiménez-AlfagemeRedón JordánHernández CamachoSospedraFerriz-ValeroSorianoMartínez-Sanz
Universidad de AlicanteUniversidad de ValenciaUniversidad Pablo de OlavideUniversidad de AlicanteUniversidad de AlicanteUniversidad de Valencia,EspañaEspañaEspañaEspañaEspañaEspaña
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