Ages at peak height velocity in male soccer players 11-16 years: relationships with skeletal age and comparisons among longitudinal studies
Status PubMed-not-MEDLINE Jazyk angličtina Země Polsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
38188122
PubMed Central
PMC10765433
DOI
10.5114/biolsport.2024.127385
PII: 50669
Knihovny.cz E-zdroje
- Klíčová slova
- Adolescent Spurt, Maturity Status, Maturity Timing, Talent Identification, Youth Athletes,
- Publikační typ
- časopisecké články MeSH
Estimated ages at take-off (TO) and at peak height velocity (PHV) based on two models and maturity status based upon age at PHV and skeletal age (SA) were compared in a longitudinal sample of male soccer players. In addition, estimated ages at PHV in 13 longitudinal samples of soccer players were compared. The longitudinal height records of 58 players of European ancestry, measured annually on four or five occasions between 11 and 16 years, were modeled with Superimposition by Translation and Rotation (SITAR) and Functional Principal Component Analysis (FPCA) to estimate ages at TO and PHV. SAs were assessed with the Fels method. Ages at PHV in 13 longitudinal samples of soccer players (Europe 7, Japan 6) were evaluated with meta-analysis. Estimated ages at TO, 11.2 ± 0.8 (SITAR) and 11.0 ± 0.8 (FCPA) years, and at PHV, 13.6 ± 0.9 (SITAR) and 13.7 ± 0.0 (FCPA) years, were similar. An earlier age at PHV was associated with advanced skeletal maturity status (rho = -0.77 at ~14 years). Ages at PHV among European players indicated a north (later) - south (earlier) gradient, and were later than ages at PHV among Japanese players. In summary, ages at TO and PHV were similar with SITAR and FPCA, and ages at PHV were most strongly correlated with SA at ~14 years. Mean ages at PHV showed a north-south gradient among European samples, and were later compared to Japanese samples.
Bath University Department of Health Bath UK
Masaryk University Faculty of Science Department of Anthropology Brno Czech Republic
Poznań University of Physical Education Theory of Sports Department Poznań Poland
University of Coimbra CIDAF Coimbra Portugal
University of Coimbra FCDEF Coimbra Portugal
University of Louisville School of Public Health and Information Sciences Louisville Kentucky USA
University of Texas at Austin Department of Kinesiology and Health Education
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Marubini E, Milani S. Approaches to the analysis of longitudinal data. In: Falkner F, Tanner JM, editors. Human Growth: A Comprehensive Treatise, vol 3, 2nd ed. New York: Plenum; 1986. p. 79–94.
Hauspie RC. Methodological aspects of longitudinal growth studies. Collegium Antropol 1988; 12:75–85.
Hauspie RC. Mathematical models for the study of individual growth patterns. Revue d’Epidémiol Santé Pub 1989; 37,461–476. PubMed
Hauspie R, Chrząstek-Spruch H. Growth models: Possibilities and limitations. In: Johnston FE, Eveleth PB, Zemel B, editors, Human Growth in Context. London: Smith-Gordon; 1999. p. 15–24.
Sanders JO, Qiu X, Lu X, Duren DL, Liu RW, Dang D, Menendez ME, Hans SD, Weber DR, Cooperman DR. The uniform pattern of growth and skeletal maturation during the human adolescent growth spurt. Sci Rep. 2017; 7:16705, doi:10.1038/s41598-017-16996-2. PubMed DOI PMC
Malina RM. Growth and Maturation: Physical Activity and Sport (3rd ed of Malina RM, Bouchard C, Bar-Or O, 2004. Growth, Maturation, and Physical Activity, 2nd ed), Champaign, IL: Human Kinetics, in press; /
Malina RM, Rogol AD, Cumming SP, Coelho-e-Silva MJ, Figueiredo AJ. Biological maturation of youth athletes: Assessment and implications. Br J Sports Med. 2015; 49:852–859. PubMed
Malina RM. L’accelerazione (“spurt”) di crescita adolescenziale nei giovani atleti. Atletica Studi: Trimestrale di Ricerca Scientifica e Tecnica Applicata All’Atletica Leggera. 2021; 52(1):1–15.
Cumming SP, Lloyd RS, Oliver JL, Eisenmann JC, Malina RM. Bio-banding in sport: Applications to competition, talent identification, and strength and conditioning of youth athletes. Strength Cond J. 2017; 39:34–47.
Johnson DM, Cumming SP, Bradley B, Williams S. The influence of exposure, growth and maturation on injury risk in male academy football players. J Sports Sci. 2022; 40:1127–1136. PubMed
Harris DJ, MacSween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med. 2019; 40:813–817. PubMed
Cole T. SITAR: Super Imposition by Translation and Rotation Growth Curve Analysis. R package version 1.1.2; 2020, https://CRAN.R-project.org/package=sitar.
Cole TJ, Donaldson MDC, Ben-Shlomo Y. SITAR – a useful instrument for growth curve analysis. Int J Epidemiol. 2010; 39:1558–1166. PubMed PMC
R Core Team . R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2019, https://www.R-project.org.
Králík M, Klíma O, Čuta M, Malina RM, Kozieł S, Polcerová L, Škultétyová A, Španel M, Kukla L, Zemčik P. Estimating growth in height from limited longitudinal growth data using full-curves training dataset: A comparison of two procedures of curve optimization – Functional Principal Component Analysis and SITAR. Children. 2021; 8:10, doi.org/10.3390/children8100934. PubMed DOI PMC
Ramsay JO, Silverman BW. Applied Functional Data Analysis: Methods and Case Studies. New York: Springer-Verlag; 2002.
Ramsay JO, Silverman BW. Functional Data Analysis, 2nd ed. New York: Springer Science + Business Media; 2005.
Kíma O, Králík M. R package growthfd for fitting FPCA-based growth curve models; 2022, available at: https://ondrej-klima.github.io/growthfd/index.html.
Malina RM, Coelho-e-Silva MJ, Martinho DV, Sousa-e-Silva P, Figueiredo AJ, Cumming SP, Králík M, Kozieł S. Observed and predicted ages at peak height velocity in soccer players. PLoS ONE 16(7):e0254659; doi. org/10.1371/journal.pone.0254659. PubMed DOI PMC
Roche AF, Chumlea WC, Thissen D. Assessing the Skeletal Maturity of the Hand-Wrist: Fels Method. Springfield, IL: CC Thomas; 1988. PubMed
Malina RM. Skeletal age and age verification in youth sport. Sports Med. 2011; 41:925–947. PubMed
Bell W. Body size and shape: A longitudinal investigation of active and sedentary boys during adolescence. J Sports Sci. 1993; 11:27–38. PubMed
Froberg K, Anderson B, Lammert O. Maximal oxygen uptake and respiratory functions during puberty in boy groups of different physical activity. In Frenkl F, Szmodis I, editors. Children and Exercise: Pediatric Work Physiology XV. Budapest: National Institute for Health Promotion, 1991; p. 65–80.
Philippaerts RM, Vaeyens R, Janssens M, van Renterghem B, Matthys D, Craen R, Bourgois J, Vrijens J, Beunen G, Malina RM. The relationship between peak height velocity and physical performance in youth soccer players. J Sports Sci. 2006; 24:221–230. PubMed
Carvalho HM, Lekue JA, Gil SM, Bidaurrazaga-Letona I. Pubertal development of body size and soccerspecific functional capacities in adolescent players. Res Sports Med. 2017; 25:421–436. PubMed
Monasterio X, Gil SM, Bidaurrazaga-Letona I, Lekue JA, Santisteban JM, Diaz-Beitia G, Lee D-J, Zumeta-Olaskoaga L, Martin-Garetxana I, Bikandi E, Larruskain J. The burden of injuries according to maturity status and timing: A two decade study with 110 growth curves in an elite football academy. Eur J Sport Sci. 2023; 23:267–277. PubMed
Monasterio X, Gil SM, Bidaurrazaga-Letona I, Cumming SP, Malina RM, Williams S, Lekue JA, Santisteban JM, Diaz-Beitia G, Larruskain J. Estimating maturity status in elite youth soccer players: Evaluation of methods. 2023; under review. PubMed
Parr J, Winwood K, Hodson-Tole E, Deconinck FJA, Parry L, Hill JP, Malina RM, Cumming SP. Predicting the timing of the peak of the pubertal growth spurt in elite youth soccer players: Evaluation of methods. Ann Hum Biol. 2020; 47:400–408. PubMed
Teunissen JW, Rommers N, Pion J, Cumming SP, Rössler R, D’Hondt E, Lenoir M, Savelsbergh GJP, Malina RM. Accuracy of maturity prediction equations in individual elite football players. Ann Hum Biol. 2020; 47:409–416. PubMed
Nariyama K, Hauspie RC, Mino T. (2001). Longitudinal growth study of male Japanese junior high school athletes. Am J Hum Biol. 2001; 13:356–364. PubMed
Saeki J, Iizuka S, Sekino H, Suzuki A, Maemichi T, Torii S. Optimum angle of force production temporarily changes due to growth in male adolescence. Children. 2021; 8:20, doi.org/10.3390/children8010020. PubMed DOI PMC
Takei S, Taketomi S, Tanaka S, Torii S. Growth pattern of lumbar bone mineral content and trunk muscles in adolescent male soccer players. J Bone Min Metab. 2020; 38:338–345. PubMed
Chuman K, Hoshikawa Y, Iida T, Nichijima T. Relationship between sprint ability and maturity in elite and sub-elite pubescent male soccer players. Football Sci. 2013; 10:10–17.
Chuman K, Hoshikawa Y, Iida T, Nichijima T. Maturity and intermittent endurance in male soccer players during the adolescent growth spurt: A longitudinal study. Football Sci. 2014; 11:39–47.
Viechtbauer W. Conducting metaanalyses in R with the metafor package. J Statist Software. 2010; 36:3, doi. org/10.18637/jss.v036.i03. DOI
Bielicki T, Koniarek J, Malina RM. Interrelationships among certain measures of growth and maturation rate in boys during adolescence. Ann Hum Biol. 1984; 11:201–210. PubMed
Malina RM, Kozieł SM. Validation of maturity offset in a longitudinal sample of Polish boys. J Sports Sci. 2014; 32:424–437. PubMed
Malina RM, Kozieł SM, Králík M, Chranowska M, Suder A. Prediction of maturity offset and age at peak height velocity in a longitudinal series of boys and girls. Am J Hum Biol. 2021; 33:e23551, doi:10.1002/ajhb.23551. PubMed DOI
Kozieł SM, Malina RM. Modified maturity offset prediction equations: Validation in independent longitudinal samples of boys and girls. Sports Med. 2018; 48:221–236. PubMed PMC
Largo RH, Gasser T, Prader A, Stuetzle W, Huber PJ. Analysis of the adolescent growth spurt using smoothing spline functions. Ann Hum Biol. 1978; 5:421–434. PubMed
Preece MA, Baines MJ. A new family of mathematical models describing the human growth curve. Ann Hum Biol. 1978; 5:1–24. PubMed
Kemper GLJ, van der Sluis A, Brink MS, Visscher C, Frencken WGP, Elferink-Gemser MT. Anthropometric injury risk factors in elite-standard youth soccer. Int J Sports Med. 2015; 36:1112–1117. PubMed
Belikan P, Färber L-C, Abel F, Nowak TE, Drees P, Mattyasovszky SG. Incidence of calcaneal apophysitis (Sever’s disease) and return-to-play in adolescents of a German youth soccer academy: A retrospective study of 10 years. J Orthop Surg Res. 2022; 17(1):83, doi:10.1186/s13018-022-02979-9. PubMed DOI PMC
Price RJ, Hawkins RD, Hulse MA, Hodson A. The Football Association medical research programme: An audit of injuries in academy youth football. Br J Sports Med. 2004; 38:466–471. PubMed PMC
DiFiori JP, Benjamin HJ, Brenner JS, Gregory A, Jayanthi N, Landry GL, Luke A. Overuse injuries and burnout in youth sports: A position statement from the American Medical Society for Sports Medicine. Br J Sports Med. 2014; 48:287–288, doi:10.1136/bjsports-2013-093299. PubMed DOI
Cumming SP. A game plan for growth: How football is leading the way in the consideration of biological maturation in young male athletes. Ann Hum Biol. 2018; 45:373–375. PubMed
Hill M, Scott S, McGee D, Cumming SP. Are relative age and biological ages associated with coaches’ evaluations of match performance in male academy soccer players? Int J Sports Sci Coach. 2020; 16, doi.org/10.1177/1747954120966886. DOI
Hill M, John T, McGee D, Cumming SP. ‘He’s got growth’: Coaches understanding and management of the growth spurt in male academy football. IntJ Sports Sci Coach. 2022; 17, doi.org/10.1177/17479541221122415. DOI
Mirwald RL, Baxter-Jones ADG, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002; 34:689–694. PubMed
Moore SA, McKay HA, Macdonald H, Nettleford L, Baxter-Jones AD, Cameron N, Brasher PM. Enhancing a somatic maturity prediction model. Med Sci Sports Exerc. 2015; 47:1755–1764. PubMed
Malina RM, Choh AC, Czerwinski SA, Chumlea WC. Validation of maturity offset in the Fels Longitudinal Study. Pediat Exer Sci. 2016; 28:439–455. PubMed