Children and adolescents experience numerous physical changes as a result of growth and maturation during the development toward adulthood, with the timing and tempo of these processes being individualized. For example, the respiratory, skeletal, and central nervous system mature, hormonal concentrations are altered, and the muscle-tendon unit experiences morphological, metabolic, and mechanical changes (2,4,28,35,36,48,50,63). Several athlete development models have proposed that the nonlinear development of several subsystems and the resulting accelerated increases in measures of strength, speed, and endurance result in sensitive periods (also referred to as “windows of opportunity,” “periods of accelerated adaptation,” “training emphasis periods,” or “optimum periods”) during which focused physical training is particularly effective toward improving physical characteristics in children and adolescents (5,65).
The best-known athlete development model in which sensitive periods were proposed is the long-term athlete development (LTAD) model by Balyi et al. (5) from 2005, which has been updated in 2013 in a book (6) and 2014 in a resource paper (14). In this model, the authors simplified the physical attributes of sports into 5 general motor abilities of suppleness (flexibility), speed, skills, stamina (endurance), and strength, and proposed sensitive periods based on biological and chronological age for boys and girls (Figure 1). The ages 7–9 years and 13–16 years were, for example, proposed as sensitive periods to train speed in boys, whereas a sensitive period to train aerobic capacity was proposed before peak height velocity (PHV, the phase in which growth is fastest). It is assumed that training of speed or aerobic capacity outside these sensitive periods results in adaptations that are smaller in magnitude and therefore has a reduced effect on performance. In this context, it is important to emphasize the difference between sensitive and critical periods in that training outside of a critical period possibly has no effect (of practical or clinical significance) on the trained ability, whereas training outside a sensitive period has a reduced effect (27). This distinction is important because LTAD models often refer to sensitive periods, whereas some practitioners have interpreted these as critical periods.
EVIDENCE FOR SENSITIVE PERIODS
The sensitive periods in the LTAD model are based on athlete development plans for specific sports developed in Canada, on the practical experience of coaches and empirically tested athlete development models from the former Eastern Bloc countries (5,6). However, empirical observations are influenced by subjective bias and lack scientific validity (20). Scientific evidence for the sensitive periods is, however, not provided in the first model from 2005 (5), and the evidence provided in the updated model (6,14) as well as other LTAD models that feature sensitive periods (65) is primarily based on the idea that an accelerated growth and maturation-related development of a physical attribute (e.g., weight lifted during squatting) or derived general motor ability (e.g., muscular strength) also leads to a greater sensitivity to training.
Previous reviews on sensitive periods and trainability have stated that there is currently insufficient evidence to support the belief that an individual will never reach his or her genetically determined maximum athletic capability or a specific proficiency level during adulthood if a general motor ability is not specifically trained during a hypothetical sensitive period (4,19,20). Nevertheless, in their review on the physiological evidence for the sensitive periods in the LTAD model, Ford et al. (20) concluded that more research is required to determine whether the sensitive periods proposed in the LTAD model truly exist because most evidence was based on cross-sectional studies and lower-quality intervention studies. Perhaps, partly due to the absence of higher-quality evidence, the conclusions from previous reviews to not rely on sensitive periods were ignored in the recent update (6,14) of the LTAD model as well as in several other athlete development models by (inter) national governing bodies and sports federations because they still incorporated generic sensitive periods. For example, although the 2017 LTAD U.S. baseball model does not include sensitive periods (60), the 2012 Canadian rowing (56), 2016 Dutch tennis (57), and many other sports federations and athlete development models (65) still use generic sensitive periods in their LTAD models. Given the widespread adoption of generic sensitive periods and the lack of strong evidence for or against sensitive periods in previous reviews, a re-evaluation of the sensitive periods is required. The aim of the current review is therefore to provide an updated evaluation of the generic sensitive periods as proposed in LTAD models. To this purpose, we will critically appraise the rationale behind sensitive periods using recently published studies. This will provide stronger evidence and additional insights on the validity of generic sensitive periods and such information can be helpful for future research on youth training, for practitioners working with youth athletes, and for developers of athlete development models.
A narrative synthesis rather than a systematic review approach was used as only few studies have investigated the effects of an intervention where groups of different (biological) ages performed training while using a control group to partition out the effects of training and maturation (34,41,49,55). A systematic review on this topic would therefore be premature. Furthermore, the aim of this study was to provide a critical appraisal of the rationale behind generic sensitive periods as proposed in athlete development models rather than providing a comprehensive overview of all studies on this topic to date. Nevertheless, the search process was performed as systematically as possible by searching electronic databases of Google Scholar and PubMed for relevant literature using combinations of keywords and Booleans that included (youth OR children OR adolescents OR pediatric OR young) AND (sensitive periods OR windows of opportunity OR training emphasize periods OR optimum periods OR periods of accelerated adaptation OR critical periods) AND (resistance OR strength OR weight OR sprint OR speed OR endurance OR stamina OR flexibility OR suppleness OR plyometric) AND (training OR intervention). No limits were applied to date of publication or article types. Hand searching for (to be published) articles in databases and reference lists and forward citation searching of included studies was also used to identify additional relevant articles.
CRITICAL APPRAISAL OF GENERIC SENSITIVE PERIODS
GENERAL MOTOR ABILITIES
LTAD models frequently simplify/divide the physical aspects of sports into 5 general motor abilities: flexibility, speed, coordination (sometimes referred to as skills), endurance, and strength. This subdivision is made by measuring physical attributes such as the weight lifted during squatting and using these to estimate underlying general motor abilities such as strength. In psychology, such an approach is known as a latent variable modeling (23). Sensitive periods are subsequently proposed to exist for these general motor abilities or latent variables (Figure 1). Although this reductionism is helpful to reduce the complexity of sports to 5 manageable constructs, it (incorrectly) implies that there are distinct motor abilities that can be trained independently and each have separate sensitive periods. Such simplification for example implies that maximum running velocity (speed) can be improved independently of coordination or strength. It further implies that the subsystems that mature and are involved in coordination are (largely) different than the subsystems involved in speed or strength, resulting in separate sensitive periods for these general motor abilities. Several studies have, however, shown low to moderate correlations between measures thought to reflect the same general motor ability. Ellison et al. (17), for instance, observed a low percentage of shared variance among 4 tests that are all thought to reflect eye-hand coordination. Similarly, low correlations have also been observed between handgrip strength and knee muscle strength in healthy adults (66), and between 2 measures that are both thought to reflect eccentric hamstring strength (62,64). Finally, different magnitudes of improvement have also been observed in isometric, isokinetic, and isoinertial test conditions after a training program, although all measures are thought to reflect the general motor ability strength (13). These findings collectively suggest that there are no general motor abilities, but rather that each motor skill is a result of a complex integration of abilities that are partly task specific. It can therefore also be questioned whether sensitive periods for general motor abilities exist, or whether they should be specific to each motor skill.
In most LTAD models, it is, however, unclear to which motor skills the sensitive periods in the model refer. For example, it is unclear whether speed in the models refers to a sensitive period to improve maximum sprinting velocity (lower body speed) or also to other measures frequently conceptualized as measures of the general motor ability speed such as maximum swimming (lower- and upper-body speed), cycling, skating and throwing velocity, or even acceleration and change of direction performance. The sensitive periods may, however, differ between these skills as a result of their different integration of specific abilities. Indeed, in a study by Radnor et al. (49), resistance training resulted in a significant increase in acceleration in post PHV boys, whereas there was no significant increase in maximum sprint velocity. Similarly, squat jumps and reactive strength index are frequently conceptualized as measures of muscular power, but although squat jump performance showed a significant increase after resistance training in post-PHV boys, reactive strength index showed no significant increase (49). Similar conflicting findings have been reported by other studies in youth athletes (34). Finally, age and maturation-related changes in strength have been reported to be both muscle group and muscle action specific (15). Peak gains in isometric strength of the elbow flexors can, for example, occur at a different time point during growth and maturation compared to eccentric strength gains in the hamstrings. Collectively, these findings suggest that sensitive periods for general motor abilities as proposed in LTAD models need to be specific for each motor skill, for each muscle group, and for each muscle action, or at least for groups of highly similar motor skills (Figure 2).
TRAINING METHOD TO IMPROVE THE GENERAL MOTOR ABILITY
A second issue is related to the lack of information about the training method(s) that should be used during the proposed sensitive periods. In the LTAD model resource papers (5,14), it is, for example, unclear whether (sprinting) speed during the proposed sensitive periods should be trained using specific sprint training, plyometric training, or resistance training, while their effectiveness likely differs. The effectiveness of the method will determine whether larger adaptations can be induced during the sensitive period. A review by Rumpf et al. (58), for example, found plyometric training to be most effective at improving sprinting speed in children, whereas a combination of plyometric, resistance, and sprint training was most effective in adolescents. More recent studies report similar findings (34,49). Interestingly, a study among youth soccer players found that sprint training was slightly less effective at improving sprint and change-of-direction performance during PHV (i.e., the period that coincides with 1 of the 2 sensitive periods to train speed in the LTAD model) compared with pre-PHV (39). In the resource papers, it is also unclear which method(s) should be used to train endurance during the proposed sensitive period, although the LTAD book suggests to use long slow aerobic intervals and fartlek training to improve aerobic capacity when growth accelerates during puberty and aerobic power training when growth decelerates for most late specialization sports (6). It has been suggested that the stress induced by low-intensity training is small compared to the stress induced by the high natural activity of children, thereby making low-intensity programs less effective (11). Furthermore, physiological mechanisms such as a greater reliance on aerobic metabolism in children result in less fatigue and a faster recovery after bouts of exercise compared to untrained adult individuals (52). It has therefore been suggested that children need to exercise at a higher intensity (>85% of their maximum heart rate) and with shorter breaks to elicit the same adaptations as adolescents and adults (1,7). In support of this, Armstrong and Barker (1) found in their review that the increase in V̇o2max was approximately equal in children younger than 11 years and older than 11 years (7.7 versus 8.6%, respectively) when they only included studies that applied a training stimulus which resulted in an increased V̇o2max.
Overall, these studies suggest that certain motor skills or derived general motor abilities may only be extrasensitive to certain training methods and not to all methods that can potentially be used to train the motor skill or derived general motor ability. This is in line with findings in animal studies where neural circuits are only sensitive to selected experiences (27). Information on the training method that should be used is usually not provided in the models, which implies that there is a sensitive period for the general motor ability irrespective of the training method used. Because studies have shown that the effectiveness of training can differ between training methods, this further questions the validity of the proposed generic sensitive periods.
CHARACTERISTICS OF THE TRAINING METHOD DURING THE SENSITIVE PERIODS
Athlete development models also provide few guidelines on the characteristics of the training method, although this may also influence the effectiveness of training (29,43). It is, for instance, unclear whether one extra training session per week is sufficient, or whether specific training should be included during or after the warm-up for every training session during the sensitive period. Indeed, a meta-analysis among female youth athletes found program variables such as the number of weekly sessions and session duration to influence the effectiveness of plyometric training on jump height (38). Similar findings have been reported by other meta-analyses and reviews on strength (29,44), balance (21), endurance (1,7), agility (3), and speed (40) training. Furthermore, Rodriguez-Rosell et al. (54) found that combined plyometric and resistance training was most effective in under-13 (∼pre PHV) boys and became less effective with an increase in chronological age, whereas Lloyd et al. (34) concluded that combined training was more effective post-PHV compared to pre-PHV. Although these conflicting findings could be related to differences in biological age between the studies, they may also reflect differences in the characteristics of the training program such as the load, number of reps, sets, and duration of the rest period. Similarly, a study among female gymnasts aged 8–10 years (i.e., the ages within the sensitive period proposed for flexibility training) found that the effectiveness of a static stretching protocol differed depending on the duration of the stretch (90 seconds continuous versus 3 × 30 seconds intermittent) (16). As a final example, a combination of small-sided games and high-intensity interval training has been shown to be more effective at improving physical performance parameters such as V̇o2peak in team sports players aged 13 years compared to small-sided games alone (25).
Taken together, these findings suggest that the characteristics of the training method may influence the effectiveness of training during potential sensitive periods, potentially making training less effective when a method with less favorable training characteristics is used. Athlete development models do, however, not provide sufficient information on the characteristics of training during the sensitive period, again implying that there is a sensitive period irrespective of the characteristics of the method. Although we acknowledge that models cannot always provide detailed information on the characteristics of a training method, the findings of the studies summarized here suggest that such information is of importance for effectively inducing training adaptations and improving sports performance during hypothetical sensitive periods. Furthermore, young individuals have been reported to be particularly susceptible to injuries before and during the growth spurt (61), and careful prescription of a training program (i.e., training mode and characteristics) is especially important during these periods to prevent injuries that may limit future potential. The findings of recent research can offer some guidelines on a training program that may be used to effectively improve performance, while likely minimizing injury risk during this period (46,47). The complexities of training/match load management in the growing and maturing child to promote training adaptations and subsequent athletic performance, combined with the susceptibility to acute and chronic injuries, are often not taken into account in LTAD models that promote sensitive periods.
THE EFFECT OF PRIOR TRAINING EXPERIENCE AND INDIVIDUAL DIFFERENCES
The models (5,65) also do not clarify whether the sensitive periods and their content differs between individuals with varying experience levels and different training backgrounds, although it is widely acknowledged that athletes with less experience in a structured training program and lower technical proficiency should generally perform less advanced exercises than technically proficient athletes who may be younger (30). This may affect the possibility to use the potential sensitive period. For instance, a 17-year-old athlete who has no prior resistance training experience will likely first perform low-weight resistance exercises before continuing with heavier-weight exercises, thereby potentially not allowing him to (optimally) capitalize on the proposed sensitive period for resistance training. Indeed, evidence from animal studies also shows that prior experience will affect how certain neural circuits respond to future experience (27), suggesting that (lack of) prior training experience also determines whether sensitive periods exist.
A meta-analysis on strength and power training to improve measures of power, strength, and speed in youth athletes showed that adaptations were generally larger for untrained than for trained individuals (10). In adults, it has been shown that the optimum dose and intensity of training depends on training experience (53). This may be similar in youth athletes, which suggests that better trained youth athletes may need to use higher intensities and/or larger volumes to induce optimal adaptations during hypothetical sensitive periods. Other studies among adults have also found associations between genetic factors and training adaptation (12,45). Youth athletes may similarly be more or less responsive to a particular training method depending on their genetic predisposition, which further limits the generalizability of the generic sensitive periods. The findings of several recent studies indeed suggest that there is a range of individual responses to different training modalities in youth athletes (37,49,51), potentially due to different prior training experience or genetic predisposition. Collectively, these findings suggest that the most appropriate training modality during the hypothetical sensitive period may differ between individuals depending on the previous training experience and genetic predisposition.
CONSEQUENCES OF NO SPECIFIC TRAINING DURING THE SENSITIVE PERIOD
Finally, the models (5,65) provide no information on the consequences of no specific training on the general motor ability during the proposed sensitive period. It is unclear whether this means that the individual is more prone to injuries, reaches the maximum performance at a later age, or whether the maximum performance level as determined by the genetic predisposition is not subsequently achievable (4,19). It is important to note here that it is questionable to what extent it is possible to not specifically train a general motor ability when individuals regularly participate in sports. For example, soccer involves sprinting, which could be regarded as specific speed training. In addition, soccer also involves repeated sprinting, which could be regarded as high-intensity interval (endurance) training. Indeed, small-sided games have been reported to improve measures of endurance such as V̇o2max, measures of speed such as 20-m sprint performance, and measures of muscular power such as vertical jump height (18,24,51). Similarly, resistance (strength) training has been reported to lead to improved measures of endurance performance such as running economy (8) and measures of speed (59) and change-of-direction performance (26).
Collectively, these findings indicate that each motor skill and derived general motor ability can be trained by many different methods, and each training method is potentially most effective during differing stages of development, although more research that controls for biological maturation is required to confirm this. The effectiveness of a training method also depends on the characteristics of the training (and competition) such as the amount of resistance, sets, and repetitions, the duration of intervals and rest periods, and the total load of activities undertaken at school, other sports, and regional and international teams. Finally, the effectiveness of training differs between similar biologically aged individuals based on their previous training experience and genetic predisposition. These findings therefore question the validity of generic sensitive periods as proposed in many athlete development models and have important consequences for youth trainers, researchers working in the field of pediatric exercise science, and developers of athletic development models.
For youth trainers, these findings indicate that they should no longer rely on generic sensitive periods as proposed on LTAD models, but rather train all physical attributes during all stages of development, as also suggested by other researchers (1,4,19,31). However, these findings do not mean that some training methods cannot be prioritized or reduced at certain periods (e.g., prioritizing motor coordination training when motor coordination is impaired during PHV in an attempt to reduce injuries). Furthermore, the LTAD model states that the model will continuously be updated as new information becomes available and also continues to use the sensitive periods until their existence has been disproven (6). We believe that the critical appraisal of sensitive periods in the current review and previous reviews has provided sufficient information to seriously question the validity of generic sensitive periods and discontinue their use in LTAD models. Although we acknowledge that the LTAD model by Balyi et al. (6) has had many positive influences on sports practice such as creating awareness on the risks of early specialization, awareness on biological rather than chronological age, and a focus on long-term success rather than short-term success, the lack of validation of the sensitive periods has been reported as a barrier to implement the model by coaches (9). Removing this questionable aspect from the updated LTAD model as well as other athlete development models (65) may therefore lead to a better implementation. Indeed, several researchers have discussed other ways of structuring training in youth athletes, without relying on sensitive periods, and the guidelines offered in these articles can instead be used to structure youth training (30–33,42). Nevertheless, it is important to note that better-quality studies are still required on this topic. These studies should include intervention groups of different (biological) ages while using a control group to partition out the effects of training and maturation. When each group uses a different training method and is assessed on multiple motor skills, it will be possible to provide insight into the existence of generic sensitive periods or task and training method-specific sensitive periods. A major challenge with such studies will be to ensure a large enough sample size and control the confounding factors such as prior experience.
This is the first study that has critically evaluated the rationale of the widely adopted generic sensitive periods for youth training. The identified theoretical issues with generic sensitive periods provide stronger evidence than previous criticisms and further question their validity (Figure 2). Athlete development models and practitioners should therefore not rely on generic sensitive periods to train youth athletes.
The authors thank Craig Ranson and Anika Schumacher for their proofreading and comments on a preliminary version of the manuscript. The open access fee was paid by Maastricht University.
1. Armstrong N, Barker AR. Endurance training and elite young athletes. In: The Elite Young Athlete. Armstrong N, McManus AM, eds.
Basel, Switzerland: Karger, 2011. pp. 59–83.
2. Armstrong N, Barker AR, McManus AM. Muscle metabolism changes with age and maturation: How do they relate to youth sport performance? Br J Sports Med 49: 860–864, 2015.
3. Asadi A, Arazi H, Ramirez-Campillo R, Moran J, Izquierdo M. Influence of maturation stage on agility performance gains after plyometric training: A systematic review and meta-analysis. J Strength Cond Res 31: 2609–2617, 2017.
4. Bailey R, Collins D, Ford P, et al. Participant development in sport: An academic review. Sports Coach UK 4: 1–134, 2010.
5. Balyi I, Cardinal C, Higgs C, Norris S, Way R. Long Term Athlete Development Resource Paper V2. Vancouver, BC: Canadian Sport Centres, 2005.
6. Balyi I, Way R, Higgs C. Long-Term Athlete Development. Champaign, IL: Human Kinetics, 2013.
7. Baquet G, van Praagh E, Berthoin S. Endurance training and aerobic fitness in young people. Sports Med 33: 1127–1143, 2003.
8. Barnes KR, Kilding AE. Strategies to improve running economy. Sports Med 45: 37–56, 2014.
9. Beaudoin C, Callary B, Trudeau F. Coaches' adoption and implementation of sport Canada's long-term athlete development model. SAGE Open 5: 2158244015595269, 2015.
10. Behm DG, Young JD, Whitten JHD, et al. Effectiveness of traditional strength vs. Power training on muscle strength, power and speed with youth: A systematic review and meta-analysis. Front Physiol 8: 423, 2017.
11. Borms J. The child and exercise: An overview. J Sports Sci 4: 3–20, 1986.
12. Bouchard C, Sarzynski MA, Rice TK, et al. Genomic predictors of the maximal O2 uptake response to standardized exercise training programs. J Appl Physiol 110: 1160–1170, 2011.
13. Buckner SL, Kuehne TE, Yitzchaki N, et al. The generality of strength adaptation. J Trainology 8: 5–8, 2019.
14. Canadian Sport Institute. Canadian Sport for Life—Long-Term Athlete Development Resource Paper 2.0. British Columbia, Canada: Sport for Life, 2014.
15. Croix MBDS, Deighan MA, Armstrong N. Assessment and interpretation of isokinetic muscle strength during growth and maturation. Sports Med 33: 727–743, 2003.
16. Donti Ο, Papia K, Toubekis A, et al. Flexibility training in preadolescent female athletes: Acute and long-term effects of intermittent and continuous static stretching. J Sports Sci 36: 1453–1460, 2018.
17. Ellison PH, Kearney PE, Sparks SA, Murphy PN, Marchant DC. Further evidence against eye–hand coordination as a general ability. Int J Sports Sci Coach 13: 687–693, 2018.
18. Engel FA, Ackermann A, Chtourou H, Sperlich B. High-intensity interval training performed by young athletes: A systematic review and meta-analysis. Front Physiol 9: 1012, 2018.
19. Ford P, Collins D, Bailey R, et al. Participant development in sport and physical activity: The impact of biological maturation. Eur J Sport Sci 12: 515–526, 2012.
20. Ford P, De Ste Croix M, Lloyd R, et al. The long-term athlete development model: Physiological evidence and application. J Sports Sci 29: 389–402, 2011.
21. Gebel A, Lesinski M, Behm DG, Granacher U. Effects and dose–response relationship of balance training on balance performance in youth: A systematic review and meta-analysis. Sports Med 48: 2067–2089, 2018.
22. Gerver WJ, de Bruin R. Growth velocity: A presentation of reference values in Dutch children. Horm Res 60: 181–184, 2003.
23. Guyon H, Falissard B, Kop JL. Modeling psychological attributes in psychology–an epistemological discussion: Network analysis vs. latent variables. Front Psychol 8: 798, 2017.
24. Hammami A, Gabbett TJ, Slimani M, Bouhlel E. Does small-sided games training improve physical-fitness and specific skills for team sports? A systematic review with meta-analysis. J Sports Med Phys Fitness 58: 1446–1455, 2017.
25. Harrison CB, Kinugasa T, Gill N, Kilding AE. Aerobic fitness for young athletes: Combining game-based and high-intensity interval training. Int J Sports Med 36: 929–934, 2015.
26. Keiner M, Sander A, Wirth K, Schmidtbleicher D. Long-term strength training effects on change-of-direction sprint performance. J Strength Cond Res 28: 223–231, 2014.
27. Knudsen EI. Sensitive periods in the development of the brain and behavior. J Cogn Neurosci 16: 1412–1425, 2004.
28. Legerlotz K, Marzilger R, Bohm S, Arampatzis A. Physiological adaptations following resistance training in youth athletes-A narrative review. Pediatr Exerc Sci 28: 501–520, 2016.
29. Lesinski M, Prieske O, Granacher U. Effects and dose-response relationships of resistance training on physical performance in youth athletes: A systematic review and meta-analysis. Br J Sports Med 50: 781–795, 2016.
30. Lloyd RS, Cronin JB, Faigenbaum AD, et al. National strength and conditioning association position statement on long-term athletic development. J Strength Cond Res 30: 1491–1509, 2016.
31. Lloyd RS, Oliver JL. The youth physical development model: A new approach to long-term athletic development. Strength Cond J 34: 61–72, 2012.
32. Lloyd RS, Oliver JL, Faigenbaum AD, et al. Long-term athletic development- part 1: A pathway for all youth. J Strength Cond Res 29: 1439–1450, 2015.
33. Lloyd RS, Oliver JL, Faigenbaum AD, Myer GD, De Ste Croix MB. Chronological age vs. biological maturation: Implications for exercise programming in youth. J Strength Cond Res 28: 1454–1464, 2014.
34. Lloyd RS, Radnor JM, De Ste Croix MB, Cronin JB, Oliver JL. Changes in sprint and jump performances after traditional, plyometric, and combined resistance training in male youth pre- and post-peak height velocity. J Strength Cond Res 30: 1239–1247, 2016.
35. Low LK, Cheng HJ. Axon pruning: An essential step underlying the developmental plasticity of neuronal connections. Philos Trans R Soc Lond B Biol Sci 361: 1531–1544, 2006.
36. Mersmann F, Bohm S, Schroll A, et al. Evidence of imbalanced adaptation between muscle and tendon in adolescent athletes. Scand J Med Sci Sports 24: E283–E289, 2014.
37. Moeskops S, Read PJ, Oliver JL, Lloyd RS. Individual responses to an 8-week neuromuscular training intervention in trained pre-pubescent female artistic gymnasts. Sports (Basel) 6: 128, 2018.
38. Moran J, Clark CCT, Ramirez-Campillo R, Davies MJ, Drury B. A meta-analysis of plyometric training in female youth: Its efficacy and shortcomings in the literature. J Strength Cond Res 33: 1996–2008, 2018.
39. Moran J, Parry DA, Lewis I, et al. Maturation-related adaptations in running speed in response to sprint training in youth soccer players. J Sci Med Sport 21: 538–542, 2018.
40. Moran J, Sandercock G, Rumpf MC, Parry DA. Variation in responses to sprint training in male youth athletes: A meta-analysis. Int J Sports Med 38: 1–11, 2017.
41. Moran J, Sandercock GRH, Ramirez-Campillo R, et al. Maturation-related differences in adaptations to resistance training in young male swimmers. J Strength Cond Res 32: 139–149, 2018.
42. Myer GD, Faigenbaum AD, Ford KR, et al. When to initiate integrative neuromuscular training to reduce sports-related injuries in youth? Curr Sports Med Rep 10: 155, 2011.
43. Otero-Esquina C, de Hoyo Lora M, Gonzalo-Skok O, Dominguez-Cobo S, Sanchez H. Is strength-training frequency a key factor to develop performance adaptations in young elite soccer players? Eur J Sport Sci 17: 1241–1251, 2017.
44. Peitz M, Behringer M, Granacher U. A systematic review on the effects of resistance and plyometric training on physical fitness in youth-What do comparative studies tell us? PLoS One 13: e0205525, 2018.
45. Pereira A, Costa AM, Izquierdo M, et al. ACE I/D and ACTN3 R/X polymorphisms as potential factors in modulating exercise-related phenotypes in older women in response to a muscle power training stimuli. Age 35: 1949–1959, 2013.
46. Pichardo AW, Oliver JL, Harrison CB, et al. Effects of combined resistance training and weightlifting on injury risk factors and resistance training skill of adolescent males. J Strength Cond Res, 2019 [Epub ahead of print].
47. Pichardo AW, Oliver JL, Harrison CB, et al. Effects of combined resistance training and weightlifting on motor skill performance of adolescent male athletes. J Strength Cond Res 33: 3226–3235, 2019.
48. Quatman-Yates CC, Quatman CE, Meszaros AJ, Paterno MV, Hewett TE. A systematic review of sensorimotor function during adolescence: A developmental stage of increased motor awkwardness? Br J Sports Med 46: 649–655, 2012.
49. Radnor JM, Lloyd RS, Oliver JL. Individual response to different forms of resistance training in school-aged boys. J Strength Cond Res 31: 787–797, 2017.
50. Radnor JM, Oliver JL, Waugh CM, et al. The influence of growth and maturation on stretch-shortening cycle function in youth. Sports Med 48: 57–71, 2018.
51. Ramirez-Campillo R, Alvarez C, Gentil P, et al. Inter-individual variability in responses to 7 Weeks of plyometric jump training in male youth soccer players. Front Physiol 9: 1156, 2018.
52. Ratel S, Blazevich AJ. Are prepubertal children metabolically comparable to well-trained adult endurance athletes? Sports Med 47: 1477–1485, 2017.
53. Rhea MR, Alvar BA, Burkett LN, Ball SD. A meta-analysis to determine the dose response for strength development. Med Sci Sports Exerc 35: 456–464, 2003.
54. Rodriguez-Rosell D, Franco-Marquez F, Mora-Custodio R, Gonzalez-Badillo JJ. Effect of high-speed strength training on physical performance in young soccer players of different ages. J Strength Cond Res 31: 2498–2508, 2017.
55. Romero C, Ramirez-Campillo R, Alvarez C, et al. Effects of maturation on physical fitness adaptations to plyometric jump training in youth females. J Strength Cond Res, 2019 [Epub ahead of print].
56. Rowing Canada. Long-term Athlete Development Plan for Rowing. Rowing Canada Aviron, 2012.
57. Royal Dutch Lawn Tennis Association. Meerjaren opleidingsplan tennis. Route naar de top. Amersfoort, the Neterlands: Drukkerij De Gans B.V., 2016.
58. Rumpf MC, Cronin JB, Pinder SD, Oliver J, Hughes M. Effect of different training methods on running sprint times in male youth. Pediatr Exerc Sci 24: 170–186, 2012.
59. Sander A, Keiner M, Wirth K, Schmidtbleicher D. Influence of a 2-year strength training programme on power performance in elite youth soccer players. Eur J Sport Sci 13: 445–451, 2013.
61. Van der Sluis A, Elferink-Gemser MT, Brink MS, Visscher C. Importance of peak height velocity timing in terms of injuries in talented soccer players. Int J Sports Med 36: 327–332, 2015.
62. van Dyk N, Witvrouw E, Bahr R. Interseason variability in isokinetic strength and poor correlation with Nordic hamstring eccentric strength in football players. Scand J Med Sci Sports 28: 1878–1887, 2018.
63. Viru A, Loko J, Harro M, et al. Critical periods in the development of performance capacity during childhood and adolescence. Eur J Phys Educ 4: 75–119, 1999.
64. Wiesinger HP, Gressenbauer C, Kösters A, Scharinger M, Müller E. Device and method matter: A critical evaluation of eccentric hamstring muscle strength assessments. Scand J Med Sci Sports 30: 217–226, 2020.
65. Wormhoudt R, Savelsbergh G, Teunissen JW, Davids K. The Athletic Skills Model: Optimizing Talent Development through Movement Education. Abingdon, United Kingdom: Routledge, 2018.
66. Yeung SS, Reijnierse EM, Trappenburg MC, et al. Handgrip strength cannot be assumed a proxy for overall muscle strength. J Am Med Dir Assoc 19: 703–709, 2018.