Effect of plyometric training on performance parameters in young handball players

Noutsos, Konstantinos; MELETAKOS, Panagiotis; ATHANASIOU, Panagiotis; TAVLARIDIS, Argiris; Bayios, Ioannis

doi:10.23736/s0393-3660.21.04588-5

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…In terms of the rest used intra-set, 27 out of the 35 studies did not specify any details. Six studies implemented intra-set rest periods under one minute (Chelly, et al, 2014;Hermassi, et al, 2014;Iacono, et al, 2017;Kale, 2016;Noutsos, Meletakos, Athanasiou, Tavlaridis, & Bayios, 2021;Toumi, Best, Martin, & Poumarat, 2004). Two studies Toumi, Best, Martin, & Poumarat, 2004) used short periods (3-5 seconds, one used specifically 5-second rest (Hermassi, et al, 2014), one specifically 10-second rest (Iacono, et al, 2017), one (Noutsos, Meletakos, Athanasiou, Tavlaridis, & Bayios, 2021) specifically 30-second rest, and one (Kale, 2016) between 30-40-second rest.…”

Section: Rest-intra-setmentioning

confidence: 99%

Plyometric training programs in handball

Henrique,

Ramirez-Campillo,

Afonso

et al. 2023

Kinesiology (Zagreb, Online)

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This systematic scoping review aimed to comprehensively identify and analyze the available evidence pertaining to the effects of plyometric training interventions on handball players. The search for relevant literature was conducted across prominent databases, including PubMed, Scopus, SPORTDiscus, and Web of Science Core Collection. The eligibility criteria focused on healthy handball players, without restrictions on age, sex, or competitive level, who were exposed to plyometric training interventions, either alone or in combination with other training methods. A meticulous screening process was conducted, whereby 3,195 titles were carefully evaluated, resulting in the inclusion of 35 eligible studies in this systematic scoping review, involving a total of 891 participants. Most studies on plyometric training in handball focused on indoor settings, conducted during the in-season period, and involved tier two athletes. The training frequency typically ranged from twice per week, with a duration of between 5 and 12 weeks, and incorporated some form of progressive overload. The number of total floor contacts varied between 20 and 600. There was a considerable variation in outcomes across the included studies, but most of them demonstrated a positive impact of plyometric training on improving jumping ability, sprinting speed, change of direction, strength, and balance. In conclusion, the predominant focus of the studies was on the lower limb, specifically aiming to assess the intervention influence on variables associated with strength and power. Notably, these investigations consistently highlighted favorable effects on enhancing these parameters among handball players. However, further research is needed to explore the effects of plyometric training in handball, particularly regarding exercise selection, optimal volume and intensity, rest intervals, and tapering protocols.

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Section: Rest-intra-setmentioning

confidence: 99%

Plyometric training programs in handball

Henrique,

Ramirez-Campillo,

Afonso

et al. 2023

Kinesiology (Zagreb, Online)

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“…Variables related to somatotype are determinants in handball performance 1 . Among the indicators that determine the effectiveness of handball players are sprints, agility, jumps, and ball-throwing velocities 2 . It is essential that handball athletes be able to execute fast and explosive actions 3 .…”

Section: Introductionmentioning

confidence: 99%

Effect of somatotype on the general physical fitness tests and throwing velocity on handball

Noutsos

Meletakos

Manasis

et al. 2022

Motriz: rev. educ. fis.

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The study aimed to investigate the effects of the somatotype components on handball. Methods:The sample consisted of 60 elite junior handball players. Somatotype was evaluated using the Heath & Carter method. The kinetic performance trials of the handball athletes were running speed performance over 5 m 10 m and 20 m sprints, sit and reach, standing long jump (SLJ), ball velocity, and maximum aerobic power. For the data analyses, we used Pearson correlation and multiple linear regression. Results: The endomorphic component correlated positive with all three sprint times (5 m, 10 m και 30 m sprints) (r = 0.315, p = 0.014; r = 0.367, p = 0.004; r = 0.358, p = 0.005 respectively) while negative with SLJ (r = -0.418, p = 0.001) και maximum aerobic power (r = -0.322, p = 0.012). The mesomorphic component had a positive correlation with ball velocity (r = 0.260, p = 0.045) and negative relation with SLJ (r = -0.261, p = 0.044). The ectomorphic component exhibited a negative correlation only with ball velocity (r = -0.260, p = 0.045). The ordinary least square regression models found that endomorphy and ectomorphy were prognostic factors and predicted worse performance in all of the examined motor performance indices except ball velocity and 5 m sprint, while mesomorphy was a predictor of worse performance in SLJ. Conclusions: In conclusion, according to the findings of this study, somatotype components play an important role in performance-related parameters.

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Effects of Plyometric Training on Physical Fitness Attributes in Handball Players: A Systematic Review and Meta-Analysis

Wang,

Zhang,

Samsudin

et al. 2024

jsportscimed

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This meta-analysis aimed to examine the effects of plyometric training on physical fitness attributes in handball players. A systematic literature search across PubMed, SCOPUS, SPORTDiscus, and Web of Science identified 20 studies with 563 players. Plyometric training showed significant medium-to-large effects on various attributes: countermovement jump with arms (ES = 1.84), countermovement jump (ES = 1.33), squat jump (ES = 1.17), and horizontal jump (ES = 0.83), ≤ 10-m linear sprint time (ES = -1.12), > 10-m linear sprint time (ES = -1.46), repeated sprint ability with change-of-direction time (ES = -1.53), agility (ES = -1.60), maximal strength (ES = 0.52), and force–velocity (muscle power) (ES = 1.13). No significant impact on balance was found. Subgroup analysis indicated more pronounced agility improvements in players ≤ 66.6 kg compared to > 66.6 kg (ES = -1.93 vs. -0.23, p = 0.014). Additionally, greater improvements were observed in linear sprint and repeat sprint ability when comparing training durations of > 8 weeks with those ≤ 8 weeks (ES = -2.30 to -2.89 vs. ES = -0.92 to -0.97). In conclusion, plyometric training effectively improves various physical fitness attributes, including jump performance, linear sprint ability, maximal strength, muscle power and agility.

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Effect of plyometric training on performance parameters in young handball players

Cited by 3 publications

References 26 publications

Plyometric training programs in handball

Plyometric training programs in handball

Effect of somatotype on the general physical fitness tests and throwing velocity on handball

Effects of Plyometric Training on Physical Fitness Attributes in Handball Players: A Systematic Review and Meta-Analysis

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