@article{RamirezCampilloAlvarezGarciaPinillosetal.2018,
  author    = {Ramirez-Campillo, Rodrigo and Alvarez, Cristian and Garcia-Pinillos, Felipe and Sanchez-Sanchez, Javier and Yanci, Javier and Castillo, Daniel and Loturco, Irineu and Chaabene, Helmi and Moran, Jason and Izquierdo, Mikel},
  title     = {Optimal reactive strength index},
  series = {Journal of strength and conditioning research : the research journal of the NSCA},
  volume    = {32},
  journal   = {Journal of strength and conditioning research : the research journal of the NSCA},
  number    = {4},
  publisher = {Lippincott Williams \& Wilkins},
  address   = {Philadelphia},
  issn      = {1064-8011},
  doi       = {10.1519/JSC.0000000000002467},
  pages     = {885 -- 893},
  year      = {2018},
  abstract  = {Ramirez-Campillo, R, Alvarez, C, Garc{\´i}a-Pinillos, F, Sanchez-Sanchez, J, Yanci, J, Castillo, D, Loturco, I, Chaabene, H, Moran, J, and Izquierdo, M. Optimal reactive strength index: is it an accurate variable to optimize plyometric training effects on measures of physical fitness in young soccer players? J Strength Cond Res 32(4): 885-893, 2018—This study aimed to compare the effects of drop-jump training using a fixed drop-box height (i.e., 30-cm [FIXED]) vs. an optimal (OPT) drop-box height (i.e., 10-cm to 40-cm: generating an OPT reactive strength index [RSI]) in youth soccer players' physical fitness. Athletes were randomly allocated to a control group (n = 24; age = 13.7 years), a fixed drop-box height group (FIXED, n = 25; age = 13.9 years), or an OPT drop-box height group (OPT, n = 24; age = 13.1 years). Before and after 7 weeks of training, tests for the assessment of jumping (countermovement jump [CMJ], 5 multiple bounds), speed (20-m sprint time), change of direction ability (CODA [Illinois test]), strength {RSI and 5 maximal squat repetition test (5 repetition maximum [RM])}, endurance (2.4-km time trial), and kicking ability (maximal kicking distance) were undertaken. Analyses revealed main effects of time for all dependent variables (p < 0.001, d = 0.24-0.72), except for 20-m sprint time. Analyses also revealed group × time interactions for CMJ (p < 0.001, d = 0.51), depth jump (DJ) (p < 0.001, d = 0.30), 20-m sprint time (p < 0.001, d = 0.25), CODA (p < 0.001, d = 0.22), and 5RM (p < 0.01, d = 0.16). Post hoc analyses revealed increases for the FIXED group (CMJ: 7.4\%, d = 0.36; DJ: 19.2\%, d = 0.49; CODA: -3.1\%, d = -0.21; 5RM: 10.5\%, d = 0.32) and the OPT group (CMJ: 16.7\%, d = 0.76; DJ: 36.1\%, d = 0.79; CODA: -4.4\%, d = -0.34; 5RM: 18.1\%, d = 0.47). Post hoc analyses also revealed increases for the OPT group in 20-m sprint time (-3.7\%, d = 0.27). Therefore, to maximize the effects of plyometric training, an OPT approach is recommended. However, using adequate fixed drop-box heights may provide a rational and practical alternative.},
  language  = {en}
}
@article{SammoudNevillNegraetal.2018,
  author    = {Sammoud, Senda and Nevill, Alan Michael and Negra, Yassine and Bouguezzi, Raja and Chaabene, Helmi and Hachana, Younes},
  title     = {100-m Breaststroke Swimming Performance in Youth Swimmers},
  series = {Pediatric exercise science},
  volume    = {30},
  journal   = {Pediatric exercise science},
  number    = {3},
  publisher = {Human Kinetics Publ.},
  address   = {Champaign},
  issn      = {0899-8493},
  doi       = {10.1123/pes.2017-0220},
  pages     = {393 -- 401},
  year      = {2018},
  abstract  = {This study aimed to estimate the optimal body size, limb segment length, and girth or breadth ratios of 100-m breaststroke performance in youth swimmers. In total, 59 swimmers [male: n= 39, age = 11.5 (1.3) y; female: n= 20, age = 12.0 (1.0) y] participated in this study. To identify size/shape characteristics associated with 100-m breaststroke swimming performance, we computed a multiplicative allometric log-linear regression model, which was refined using backward elimination. Results showed that the 100-m breaststroke performance revealed a significant negative association with fat mass and a significant positive association with the segment length ratio (arm ratio = hand length/forearm length) and limb girth ratio (girth ratio = forearm girth/wrist girth). In addition, leg length, biacromial breadth, and biiliocristal breadth revealed significant positive associations with the 100-m breaststroke performance. However, height and body mass did not contribute to the model, suggesting that the advantage of longer levers was limb-specific rather than a general whole-body advantage. In fact, it is only by adopting multiplicative allometric models that the previously mentioned ratios could have been derived. These results highlighted the importance of considering anthropometric characteristics of youth breaststroke swimmers for talent identification and/or athlete monitoring purposes. In addition, these findings may assist orienting swimmers to the appropriate stroke based on their anthropometric characteristics.},
  language  = {en}
}