Peak height velocity in young athletes: A longitudinal meta-analysis

References

• Aerenhouts, D., Deriemaeker, P., Hebbelinck, M., & Clarys, P. (2011). Energy and macronutrient intake in adolescent sprint athletes: A follow-up study. Journal of Sports Sciences, 29(1), 73–82.
   PubMed Web of Science ®Google Scholar
• Armstrong, N. (2019). Development of the youth athlete. Routledge.
   Google Scholar
• Armstrong, N., & McManus, A. M. (2011). Physiology of elite young male athletes. Medicine and Sport Science, 56, 1–22. https://doi.org/10.1159/000320618
   PubMedGoogle Scholar
• Baker, J., Schorer, J., & Wattie, N. (2018). Compromising talent: Issues in identifying and selecting talent in sport. Quest, 70(1), 48–63.
   Web of Science ®Google Scholar
• Barreiros, A., Côté, J., & Fonseca, A. M. (2014). From early to adult sport success: Analysing athletes’ progression in national squads. European Journal of Sport Science, 14 Suppl 1, S178–82. https://doi.org/10.1080/17461391.2012.671368
   PubMed Web of Science ®Google Scholar
• Barth, M., & Güllich, A. (2021). Non-linear association of efficiency of practice of adult elite athletes with their youth multi-sport practice. Journal of Sports Sciences, 39(8), 915–925.
   PubMed Web of Science ®Google Scholar
• Baxter-Jones, A. D. G. (2019). Physical growth and development in young athletes: Factors of influence and consequence. Kinesiology Review, 8(3), 211–219.
   Google Scholar
• Baxter-Jones, A. D. G., Eisenmann, J. C., & Sherar, L. B. (2005). Controlling for maturation in pediatric exercise science. Pediatric Exercise Science, 17(1), 18–30.
   Web of Science ®Google Scholar
• Baxter-Jones, A., Goldstein, H., & Helms, P. (1993). The development of aerobic power in young athletes. Journal of Applied Physiology (Bethesda Md 1985), 75(3), 1160–1167. https://doi.org/10.1152/jappl.1993.75.3.1160
   PubMed Web of Science ®Google Scholar
• Baxter-Jones, A. D. G., Helms, P., Maffulli, N., Baines-Preece, J. C., & Preece, M. (1995). Growth and development of male gymnasts, swimmers, soccer and tennis players: A longitudinal study. Annals of Human Biology, 22(5), 381–394.
   PubMed Web of Science ®Google Scholar
• Beno, M., Figl, K., Umbrich, J., Polleres, A., Eds. Open Data Hopes and Fears: Determining the Barriers of Open Data. 2017 Conference for E-Democracy and Open Government (CeDEM); 2017; Krems, Austria: IEEE.
   Google Scholar
• Beunen, G. P., Malina, R. M., Renson, R., Simons, J., Ostyn, M., & Lefevre, J. (1992). Physical activity and growth, maturation and performance: A longitudinal study. Medicine & Science in Sports & Exercise, 24(5), 576–585.
   PubMed Web of Science ®Google Scholar
• Beunen, G., Ostyn, M., Simons, J., Renson, R., Claessens, A. L., & Vanden Eynde, B., et al. (1997). Development and tracking in fitness components: Leuven longtudinal study on lifestyle, fitness and health. International Journal of Sports Medicine, 18(3), S171–8.
   PubMed Web of Science ®Google Scholar
• Beunen, G., & RM, M. (2007). Growth and biologic maturation: Relevance to athletic performance. In H. Hebestreit & O. Bar-Or (Eds.), The Young Athlete (pp. 3–17). Wiley Online Library.
   Google Scholar
• Bidaurrazaga Letona, I., Carvalho, H. M., Lekue, J. A., Santos-Concejero, J., Figueiredo, A. J., & Gil, S. M. (2015). Longitudinal field test assessment in a Basque soccer youth academy: A multilevel modeling framework to partition effects of maturation. International Journal of Sports Medicine, 36(3), 234–240.
   PubMed Web of Science ®Google Scholar
• Billewicz, W. Z., Fellowes, H. M., & Thomson, A. M. (1981). Pubertal changes in boys and girls in Newcastle upon Tyne. Annals of Human Biology, 8(3), 211–219.
   PubMed Web of Science ®Google Scholar
• Blettner, M., Sauerbrei, W., Schlehofer, B., Scheuchenpflug, T., & Friedenreich, C. (1999). Traditional reviews, meta-analyses and pooled analyses in epidemiology. International Journal of Epidemiology, 28(1), 1–9.
   PubMed Web of Science ®Google Scholar
• Boccia, G., Moisè, P., Franceschi, A., Trova, F., Panero, D., & La Torre, A., et al. (2017). Career performance trajectories in track and field jumping events from youth to senior success: The importance of learning and development. Plos One, 12(1), e0170744.
   PubMed Web of Science ®Google Scholar
• Boeyer, M. E., Middleton, K. M., Duren, D. L., & Leary, E. V. (2020). Estimating peak height velocity in individuals: A comparison of statistical methods. Annals of Human Biology, 47(5), 434–445.
   PubMed Web of Science ®Google Scholar
• Bürkner, P-C (2017). Brms: An R package for Bayesian multilevel models using stan. Journal of Statistical Software, 80(1), 1–28.
   Web of Science ®Google Scholar
• Cao, Z., Hui, L. L., & Wong, M. Y. (2018). New approaches to obtaining individual peak height velocity and age at peak height velocity from the SITAR model. Computer Methods and Programs in Biomedicine, 163, 79–85.
   PubMed Web of Science ®Google Scholar
• Carling, C., Le Gall, F., & Malina, R. M. (2012). Body size, skeletal maturity, and functional characteristics of elite academy soccer players on entry between 1992 and 2003. Journal of Sports Sciences, 30(15), 1683–1693.
   PubMed Web of Science ®Google Scholar
• Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., & Betancourt, M., et al. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 76(1), 1–32.
   PubMed Web of Science ®Google Scholar
• Carron, A. V., & Bailey, D. A. (1974). Strength development in boys from 10 through 16 years. Monographs of the Society for Research in Child Development, 39(4), 1–37.
   PubMed Web of Science ®Google Scholar
• Carvalho, H. M., Bidaurrazaga Letona, I., Lekue, J. A., Amado, M., Figueiredo, A. J., & Gil, S. M. (2014). Physical growth and changes in intermittent endurance run performance in young male Basque soccer players. Res Sports Med, 22(4), 408–424.
   PubMed Web of Science ®Google Scholar
• Carvalho, H. M., Gonçalves, C. E., Collins, D., & Paes, R. R. (2018). Growth, functional capacities and motivation for achievement and competitiveness in youth basketball: An interdisciplinary approach. Journal of Sports Sciences, 36(7), 742–748.
   PubMed Web of Science ®Google Scholar
• Carvalho, H. M., Lekue, J. A., Gil, S. M., & Bidaurrazaga Letona, I. (2017). Pubertal development of body size and soccer-specific functional capacities in adolescent players. Res Sports Med, 25(4), 421–436.
   PubMed Web of Science ®Google Scholar
• Carvalho, H. M., Silva, M. J. C. E., Figueiredo, A. J., Gonçalves, C. E., Philippaerts, R. M., & Castagna, C., et al. (2011). Predictors of maximal short-term power outputs in basketball players 14–16 years. European Journal of Applied Physiology, 111(5), 789–796.
   PubMed Web of Science ®Google Scholar
• Cole, T. J., Cortina-Borja, M., Sandhu, J., Kelly, F. P., & Pan, H. (2008). Nonlinear growth generates age changes in the moments of the frequency distribution: The example of height in puberty. Biostatistics, 9(1), 159–171.
   PubMed Web of Science ®Google Scholar
• Cole, T. J., Donaldson, M. D. C., & Ben-Shlomo, Y. (2010). Sitar—a useful instrument for growth curve analysis. International Journal of Epidemiology, 39(6), 1558–1566.
   PubMed Web of Science ®Google Scholar
• Cordingley, D. M., Sirant, L., MacDonald, P. B., & Leiter, J. R. (2019). Three-year longitudinal fitness tracking in top-level competitive youth ice hockey players. The Journal of Strength & Conditioning Research, 33(11), 2909–2912.
   PubMed Web of Science ®Google Scholar
• Csajági, E., Szauder, I., Major, Z., & Pavlik, G. (2015). Left ventricular morphology in different periods of the training season in elite young swimmers. Pediatric Exercise Science, 27(2), 185–191.
   PubMed Web of Science ®Google Scholar
• Daskalopoulou, C., Stubbs, B., Kralj, C., Koukounari, A., Prince, M., & Prina, A. M. (2017). Physical activity and healthy ageing: A systematic review and meta-analysis of longitudinal cohort studies. Ageing Research Reviews, 38, 6–17. https://doi.org/10.1016/j.arr.2017.06.003
   PubMed Web of Science ®Google Scholar
• Deprez, D., Buchheit, M., Fransen, J., Pion, J., Lenoir, M., & Philippaerts, R. M., et al. (2015). A longitudinal study investigating the stability of anthropometry and soccer- specific endurance in pubertal high-level youth soccer players. Journal of Sports Science & Medicine, 14(2), 418–426.
   PubMed Web of Science ®Google Scholar
• Doleman, B., Freeman, S. C., Lund, J. N., Williams, J. P., & Sutton, A. J. (2020). Funnel plots may show asymmetry in the absence of publication bias with continuous outcomes dependent on baseline risk: Presentation of a new publication bias test. Research Synthesis Methods, 11(4), 522–534.
   PubMed Web of Science ®Google Scholar
• Duarte, J. P., Valente-Dos-Santos, J., Coelho, E. S. M. J., Malina, R. M., Deprez, D., & Philippaerts, R., et al. (2018). Developmental changes in isometric strength: longitudinal study in adolescent soccer players. International Journal of Sports Medicine, 39(9), 688–695.
   PubMed Web of Science ®Google Scholar
• Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629.
   PubMed Web of Science ®Google Scholar
• Elferink-Gemser, M. T., Visscher, C., van Duijn, M. A. J., & Lemmink, K. A. P. M. (2006). Development of the interval endurance capacity in elite and sub-elite youth field hockey players. British Journal of Sports Medicine, 40(4), 340.
   PubMed Web of Science ®Google Scholar
• Faust, M. S. (1977). Somatic development of adolescent girls. Monographs of the Society for Research in Child Development, 42(1), 1–90.
   PubMed Web of Science ®Google Scholar
• Figueiredo, A. J., Gonçalves, C. E., ESMJ, C., & Malina, R. M. (2009). Characteristics of youth soccer players who drop out, persist or move up. Journal of Sports Sciences, 27(9), 883–891.
   PubMed Web of Science ®Google Scholar
• Fogelholm, M., Rankinen, T., Isokääntä, M., Kujala, U., & Uusitupa, M. (2000). Growth, dietary intake, and trace element status in pubescent athletes and schoolchildren. Medicine & Science in Sports & Exercise, 32(4), 738–746.
   PubMed Web of Science ®Google Scholar
• Francioni, F. M., Figueiredo, A. J., Lupo, C., Terribili, M., Condello, G., & Tessitore, A. (2018). Intra-seasonal variation of anthropometrical, conditional, and technical tests in U14 soccer players. Revista internacional de ciencias del deporte, 14(53), 219–232.
   Web of Science ®Google Scholar
• Francioni, F. M., Figueiredo, A. B., Terribili, M., & Tessitore, A. (2016). Analysis of the intraseasonal stability of field test performances in young academy soccer players. Journal of Sports Sciences, 34(10), 966–972.
   PubMed Web of Science ®Google Scholar
• Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian workflow. Journal of the Royal Statistical Society, 182(2), 389–402. Series A (Statistics in Society).
   Google Scholar
• Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis. CRC press.
   Google Scholar
• Goldstein, H. (1986). Efficient statistical modelling of longitudinal data. Annals of Human Biology, 13(2), 129–141.
   PubMed Web of Science ®Google Scholar
• Goldstein, H. (1989). Flexible models for the analysis of growth data with an application to height prediction. Revue d’epidemiologie et de sante publique, 37(5–6), 477–484.
   PubMed Web of Science ®Google Scholar
• Graham, E. A. (2005). Economic, racial, and cultural influences on the growth and maturation of children. Pediatrics in Review, 26(8), 290–294.
   PubMed Web of Science ®Google Scholar
• Güllich, A., Macnamara, B. N., & Hambrick, D. Z. (2021). What makes a champion? Early multidisciplinary practice, not early specialization, predicts world-class performance. Perspectives on Psychological Science, 17(1), 6–29. https://doi.org/10.1177/1745691620974772
   Web of Science ®Google Scholar
• Hansen, L., Bangsbo, J., Twisk, J., & Klausen, K. (1999). Development of muscle strength in relation to training level and testosterone in young male soccer players. Journal of Applied Physiology, 87(3), 1141–1147.
   PubMed Web of Science ®Google Scholar
• Hansman, C. F., & Maresh, M. M. (1961). A longitudinal study of skeletal maturation. American Journal of Diseases of Children, 101(3), 305–321. https://doi.org/10.1001/archpedi.1961.04020040033006
   PubMedGoogle Scholar
• Higgins, J., Savović, J., Page, M., Elbers, R., Sterne, J. (2022). Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions version 63. Retrieved from: www.training.cochrane.org/handbook
   Google Scholar
• Higgins, J. P. T., & Thomas, J. (2019). Cochrane handbook for systematic reviews of interventions. John Wiley & Sons.
   Google Scholar
• Huijgen, B. C. H., Elferink-Gemser, M. T., Post, W., & Visscher, C. (2010). Development of dribbling in talented youth soccer players aged 12–19 years: A longitudinal study. Journal of Sports Sciences, 28(7), 689–698.
   PubMed Web of Science ®Google Scholar
• Huijgen, B. C., Elferink-Gemser, M. T., Post, W. J., & Visscher, C. (2009). Soccer skill development in professionals. International Journal of Sports Medicine, 30(8), 585–591.
   PubMed Web of Science ®Google Scholar
• Johnson, A., Farooq, A., & Whiteley, R. (2017). Skeletal maturation status is more strongly associated with academy selection than birth quarter. Science and Medicine in Football, 1(2), 157–163.
   Google Scholar
• Johnston, K., Wattie, N., Schorer, J., & Baker, J. (2018). Talent identification in sport: A systematic review. Sports Medicine (Auckland, NZ), 48(1),97–109. https://doi.org/10.1007/s40279-017-0803-2
   PubMed Web of Science ®Google Scholar
• Jolicoeur, P., Pontier, J., & Abidi, H. (1992). Asymptotic models for the longitudinal growth of human stature. American Journal of Human Biology, 4(4), 461–468.
   PubMed Web of Science ®Google Scholar
• Jürimäe, J., Lätt, E., Haljaste, K., Purge, P., Cicchella, A., & Jürimäe, T. (2009). Influence of Puberty on Ghrelin and BMD in Athletes. International Journal of Sports Medicine, 30(06), 403–407.
   PubMed Web of Science ®Google Scholar
• Keiner, M., Sander, A., Wirth, K., & Schmidtbleicher, D. (2014). The impact of 2 years of additional athletic training on the jump performance of young athletes. Science & Sports, 29(4), e39–46.
   Web of Science ®Google Scholar
• Kemper, H. C. G. (2007). Longitudinal studies during growth and training: Importance and principles. In H. Hebestreit & O. Bar-Or (Eds.), The Young Athlete (pp. 469–485). Wiley Online Library.
   Google Scholar
• Kemper, H. C. G., Storm van Essen, L., & Verschuur, R. H. (1985). Weight and height velocity. In Kemper, HCG (Ed.), Growth, Health and Fitness of Teenagers 20 (pp. 66–80). Karger Publishers.
   Google Scholar
• Kramer, T., Huijgen, B. C. H., Elferink-Gemser, M. T., & Visscher, C. (2016). A longitudinal study of physical fitness in elite junior tennis players. Pediatric Exercise Science, 28(4), 553–564.
   PubMed Web of Science ®Google Scholar
• Kurz, A. S. Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition 2021. Available from: https://bookdown.org/content/4857/.
   Google Scholar
• Lehnert, M., Krejčí, J., Janura, M., & De Ste Croix, M. (2022). Age-related changes in landing mechanics in elite male youth soccer players: A longitudinal study. Applied Sciences, 12(11), 5324.
   Google Scholar
• Lloyd, R. S., Oliver, J. L., Myer, G. D., Ste Croix MB, D., & Read, P. J. (2020). Seasonal variation in neuromuscular control in young male soccer players. Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine, 42, 33–39. https://doi.org/10.1016/j.ptsp.2019.12.006
   PubMed Web of Science ®Google Scholar
• Low, W. D. (1970). The cross-sectional, longitudinal and mixed longitudinal methods in the study of human growth. Zeitschrift fur Morphologie und Anthropologie, 62(3), 249–258.
   PubMedGoogle Scholar
• Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., & Penninx, B. W., et al. (2010). Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies. Archives of General Psychiatry, 67(3), 220–229.
   PubMed Web of Science ®Google Scholar
• Maas, C. J. M., Hox, J. J., & Lensvelt-Mulders, G. J. L. M. (2004). Longitudinal Meta-analysis. Quality & Quantity, 38(4), 381–389.
   Google Scholar
• Madsen, C. M., Badault, B., & Nybo, L. (2018). Cross-Sectional and longitudinal examination of exercise capacity in elite youth badminton players. The Journal of Strength & Conditioning Research, 32(6), 1754–1761.
   PubMed Web of Science ®Google Scholar
• Maffulli, N., King, J. B., & Helms, P. (1994). Training in élite young athletes (the Training of Young Athletes (TOYA) Study): Injuries, flexibility and isometric strength. British Journal of Sports Medicine, 28(2), 123–136.
   PubMed Web of Science ®Google Scholar
• Maingourd, Y., Libert, J. -P., Bach, V., Eacute, R., & Jullien, H., et al. (1994). Aerobic capacity of competitive ice hockey players 10-15 years old. The Japanese Journal of Physiology, 44(3), 255–270.
   PubMedGoogle Scholar
• Malina, R. M. (1994). Physical growth and biological maturation of young athletes. Exercise and Sport Sciences Reviews, 22(1), 280–284.
   Google Scholar
• Malina, R. M., & Beunen, G. (2007). Growth and maturation: Methods of monitoring. In H. Hebestreit & O. Bar-Or (Eds.), The Young Athlete (pp. 430–442). Wiley Online Library.
   Google Scholar
• Malina, R. M., Bouchard, C., & Beunen, G. (1988). Human growth: Selected aspects of current research on well-nourished children. Annual Review of Anthropology, 17(1), 187–219.
   Web of Science ®Google Scholar
• Malina, R. M., Eisenmann, J. C., Cumming, S. P., Ribeiro, B., & Aroso, J. (2004). Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13-15 years. European Journal of Applied Physiology, 91(5–6), 555–562.
   PubMed Web of Science ®Google Scholar
• Malina, R. M., Pena Reyes, M. E., Eisenmann, J. C., Horta, L., Rodrigues, J., & Miller, R. (2000). Height, mass and skeletal maturity of elite Portuguese soccer players aged 11-16 years. Journal of Sports Sciences, 18(9), 685–693.
   PubMed Web of Science ®Google Scholar
• Mannan, M., Mamun, A., Doi, S., & Clavarino, A. (2016). Prospective associations between depression and obesity for adolescent males and females- a systematic review and meta-analysis of longitudinal studies. Plos One, 11(6), e0157240.
   PubMed Web of Science ®Google Scholar
• Matthys, S. P. J., Vaeyens, R., Fransen, J., Deprez, D., Pion, J., & Vandendriessche, J., et al. (2013). A longitudinal study of multidimensional performance characteristics related to physical capacities in youth handball. Journal of Sports Sciences, 31(3), 325–334.
   PubMed Web of Science ®Google Scholar
• McElreath, R. (2020). Statistical rethinking: A Bayesian course with examples in R and Stan (2nd Edition ed.). Chapman and Hall/CRC Press.
   Google Scholar
• Mendes, F. G., Lima, A. B., Christofoletti, M., Quinaud, R. T., Collet, C., & Gonçalves, C. E., et al. (2021). Multidimensional characteristics of young Brazilian volleyball players: A Bayesian multilevel analysis. Plos One, 16(4), e0250953.
   PubMed Web of Science ®Google Scholar
• Milanović, Z., Pantelić, S., Čović, N., Sporiš, G., & Krustrup, P. (2015). Is recreational soccer effective for improving VO2max a systematic review and meta-analysis. Sports Medicine (Auckland, NZ), 45(9), 1339–1353. https://doi.org/10.1007/s40279-015-0361-4
   PubMed Web of Science ®Google Scholar
• Mirkov, D. M., Kukolj, M., Ugarkovic, D. J., Koprivica, V., & Jaric, S. (2010). Development of anthropometric and physical performance profiles of young elite male soccer players: A longitudinal study. The Journal of Strength & Conditioning Research, 24(10), 2677–2682.
   PubMed Web of Science ®Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097.
   PubMed Web of Science ®Google Scholar
• Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., & Petticrew, M., et al. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1.
   PubMed Web of Science ®Google Scholar
• Nalborczyk, L., Batailler, C., Lœvenbruck, H., Vilain, A., & Bürkner, P. -C. (2019). An introduction to bayesian multilevel models using brms: A case study of gender effects on vowel variability in standard Indonesian. Journal of Speech, Language, and Hearing Research, 62(5), 1225–1242.
   PubMed Web of Science ®Google Scholar
• Ostojic, S. M., Castagna, C., Calleja-González, J., Jukic, I., Idrizovic, K., & Stojanovic, M. (2014). The biological age of 14-year-old boys and success in adult soccer: do early maturers predominate in the top-level game? Research in Sports Medicine, 22(4), 398–407.
   PubMed Web of Science ®Google Scholar
• Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews, 5(1), 210.
   PubMedGoogle Scholar
• Parr, J., Winwood, K., Hodson-Tole, E., Deconinck, F. J. A., Parry, L., & Hill, J. P., et al. (2020). Predicting the timing of the peak of the pubertal growth spurt in elite male youth soccer players: Evaluation of methods. Annals of Human Biology, 47(4), 400–408.
   PubMed Web of Science ®Google Scholar
• Paterson, D. H., McLellan, T. M., Stella, R. S., & Cunningham, D. A. (1987). Longitudinal study of ventilation threshold and maximal O2 uptake in athletic boys. Journal of Applied Physiology, 62(5), 2051–2057.
   PubMed Web of Science ®Google Scholar
• Peters, J. L., & Mengersen, K. L. (2008). Meta-analysis of repeated measures study designs. Journal of Evaluation in Clinical Practice, 14(5), 941–950.
   PubMed Web of Science ®Google Scholar
• Preece, M. A., & Baines, M. J. (1978). A new family of mathematical models describing the human growth curve. Annals of Human Biology, 5(1), 1–24.
   PubMed Web of Science ®Google Scholar
• R Core Team. (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna.
   Google Scholar
• Roescher, C. R., Elferink-Gemser, M. T., Huijgen, B. C., & Visscher, C. (2010). Soccer endurance development in professionals. International Journal of Sports Medicine, 31(3), 174–179.
   PubMed Web of Science ®Google Scholar
• Royston, P., & Altman, D. G. (1994). Regression using fractional polynomials of continuous covariates: Parsimonious parametric modelling. Journal of the Royal Statistical Society, 43(3), 429–453. Series C (Applied Statistics).
   Google Scholar
• Santos, J. V., Silva, M. J., Simões, F., Figueiredo, A. J., Leite, N., & Elferink-Gemser, M. T., et al. (2012). Modeling developmental changes in functional capacities and soccer-specific skills in male players aged 11-17 years. Pediatric Exercise Science, 24(4), 603.
   PubMed Web of Science ®Google Scholar
• Sarmento, H., Anguera, M. T., Pereira, A., & Araújo, D. (2018). Talent identification and development in male football: A systematic review. Sports Medicine (Auckland, NZ), 48(4), 907–931. https://doi.org/10.1007/s40279-017-0851-7
   PubMed Web of Science ®Google Scholar
• Saward, C., Hulse, M., Morris, J. G., Goto, H., & Sunderl, C., et al. (2020). Longitudinal physical development of future professional male soccer players: Implications for talent identification and development? Frontiers in Sports and Active Living, 2, 578203. https://doi.org/10.3389/fspor.2020.578203.
   PubMedGoogle Scholar
• Schirmbeck, K., Rao, N., & Maehler, C. (2020). Similarities and differences across countries in the development of executive functions in children: A systematic review. Infant and Child Development, 29(1), e2164.
   Web of Science ®Google Scholar
• Simpkin, A. J., Sayers, A., Gilthorpe, M. S., Heron, J., & Tilling, K. (2017). Modelling height in adolescence: A comparison of methods for estimating the age at peak height velocity. Annals of Human Biology, 44(8), 715–722.
   PubMed Web of Science ®Google Scholar
• Sliwowski, R., Andrzejewski, M., Wieczorek, A., Barinow-Wojewódzki, A., Jadczak, L., & Adrian, S., et al. (2013). Changes in the anaerobic threshold in an annual cycle of sport training of young soccer players. Biology of Sport / Institute of Sport, 30(2), 137–143.
   PubMed Web of Science ®Google Scholar
• Soares, A. L. A., Kós, L. D., Paes, R. R., Nascimento, J. V., Collins, D., & Gonçalves, C. E., et al. (2020). Determinants of drop-out in youth basketball: An interdisciplinary approach. Research in Sports Medicine, 28(1), 84–98.
   PubMed Web of Science ®Google Scholar
• Sontag, L. W. (1971). The history of longitudinal research: Implications for the future. Child Development, 42(4), 987–1002.
   PubMed Web of Science ®Google Scholar
• Sterne, J., Hernán, M., McAleenan, A., Reeves, B., Higgins, J. (2022). Assessing risk of bias in a non-randomized study. Cochrane handbook for systematic reviews of interventions version 63 [Internet].
   Google Scholar
• Stuart, H. C. (1951). Somatic development of adolescent boys. American Journal of Public Health and the Nations Health, 41(9), 1131.
   Web of Science ®Google Scholar
• Tanner, J. M. (1981). A history of the study of human growth. Cambridge University Press.
   Google Scholar
• Tanner, J. M., Whitehouse, R. H., Marubini, E., & Resele, L. F. (1976). The adolescent growth spurt of boys and girls of the Harpenden growth study. Annals of Human Biology, 3(2), 109–126.
   PubMed Web of Science ®Google Scholar
• Te Wierike S.C., de Jong M.C., Tromp, E. J., Vuijk, P. J., Lemmink, K. A., Malina, R. M., Elferink-Gemser, M. T., Visscher, C. (2014). Development of repeated sprint ability in talented youth basketball players. Journal of Strength and Conditioning Research/National Strength & Conditioning Association, 28(4), 928–934.
   PubMed Web of Science ®Google Scholar
• Till, K., Cobley, S., O’Hara, J., Chapman, C., & Cooke, C. (2013). A longitudinal evaluation of anthropometric and fitness characteristics in junior rugby league players considering playing position and selection level. Journal of Science and Medicine in Sport, 16(5), 438–443.
   PubMed Web of Science ®Google Scholar
• Till, K., Cobley, S., O’Hara, J., Cooke, C., & Chapman, C. (2014). Considering maturation status and relative age in the longitudinal evaluation of junior rugby league players. Scandinavian Journal of Medicine & Science in Sports, 24(3), 569–576.
   PubMed Web of Science ®Google Scholar
• Till, K., & Jones, B. (2015). Monitoring anthropometry and fitness using maturity groups within youth rugby league. The Journal of Strength & Conditioning Research, 29(3), 730–736.
   PubMed Web of Science ®Google Scholar
• Vaeyens, R., Lenoir, M., Williams, A. M., & Philippaerts, R. M. (2008). Talent identification and development programmes in sport: Current models and future directions. Sports Medicine (Auckland, NZ), 38(9), 703–714. https://doi.org/10.2165/00007256-200838090-00001
   PubMed Web of Science ®Google Scholar
• Valtorta, N. K., Kanaan, M., Gilbody, S., Ronzi, S., & Hanratty, B. (2016). Loneliness and social isolation as risk factors for coronary heart disease and stroke: Systematic review and meta-analysis of longitudinal observational studies. Heart (British Cardiac Society), 102(13), 1009–1016.
   PubMed Web of Science ®Google Scholar
• Waldron, M., Worsfold, P. R., Twist, C., & Lamb, K. (2014). The relationship between physical abilities, ball-carrying and tackling among elite youth rugby league players. Journal of Sports Sciences, 32(6), 542–549.
   PubMed Web of Science ®Google Scholar
• Wickham, H. (2016). Ggplot2: Elegant graphics for data analysis. Springer-Verlag.
   Google Scholar
• World Health Organization. (2009). WHO child growth standards: Growth velocity based on weight, length and head circumference: Methods and development. World Health Organization. https://apps.who.int/iris/handle/10665/44026
   Google Scholar
• Zhao, K., Hohmann, A., Faber, I., Chang, Y., & Gao, B. (2020). A 2-year longitudinal follow-up of performance characteristics in Chinese male elite youth athletes from swimming and racket sports. Plos One, 15(10), e0239155.
   PubMed Web of Science ®Google Scholar
• Zuiderwijk, A., Gascó, M., Parycek, P., & Janssen, M. (2014). Special issue on transparency and open data policies: Guest editors’ introduction. Journal of Theoretical and Applied Electronic Commerce Research, 9(3), I–IX. https://doi.org/10.4067/S0718-18762014000300001
   Web of Science ®Google Scholar