ReviewJournal of human kinetics2023
Conditioning Strategies for Improving Handball Throwing Velocity: A Systematic Review and Meta-Analyses.
Review in Journal of human kinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Anthropometric and Physical Performance Reference Values in Young Handball Players Aged 9-15 Years: A Cross-Sectional Study Using Percentile Profiling and Factorial ANOVA.Journal of functional morphology and kinesiology · 2026Article
- The Effect of Fatigue on Throwing Performance in Handball Players: Systematic Review with Meta-Analysis.Journal of functional morphology and kinesiology · 2026Review
- Effects of Eccentric-Overload vs. Free-Weight High Load Resistance Training on Throwing Velocity in Elite Young Male Handball Players.Sports (Basel, Switzerland) · 2026Article
- Relationships between upper- and lower-limb strength and power with ball velocity in university handball players.Frontiers in sports and active living · 2026Article
- Predicting Throwing Performance with Force-Velocity Mechanical Properties of the Upper Limb in Experienced Handball Players.Journal of human kinetics · 2025Article
- A Critical Review of Trunk and Hip Exercise Prescription: Applying Evidence for a Modern Approach.International journal of sports physical therapy · 2025Article
- The Effect of Specific Strength Training on Throwing Velocity in Overarm Throwing: A Systematic Review.Sports medicine - open · 2024Review
- Can resistance training improve throwing performance in handball players? A Systematic review and meta-analysis.BMC sports science, medicine & rehabilitation · 2024Article
- Relationship between team ranking and physical fitness in elite male handball players in different playing positions.Scientific reports · 2024Article
- The effects of 10-week plyometric training program on athletic performance in youth female handball players.Frontiers in sports and active living · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ball throwing velocity is essential for scoring goals in handball; the crucial question is how to develop throwing velocity in highly trained handball players. Therefore, this systematic review aims to summarize effective conditioning strategies to improve throwing velocity in elite male players and to perform a meta-analysis on which training system can provide the highest increase in throwing velocity. The literature was analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) in PubMed, Scopus, and Web of Science. Thirteen studies (sample n = 174) were included: five resistance training studies, one core training study, one study on repeated shuffle sprint training with small-sided games, and one on eccentric overload training. Effect size comparison showed that resistance training is the most effective strategy for improving throwing velocity in elite handball players (d > 0.7). Core training showed a small effect (d = 0.35). Small-sided game (SSG) training showed different results, from a significant positive effect (d = 1.95) to a negative effect (d = -2.03), and eccentric overload training showed a negative effect (d = -0.15). Resistance training is the most effective strategy for improving throwing velocity in elite handball players, while core training and SSGs can improve throwing velocity in youth athletes. Due to the small number of studies focusing on elite handball players, there is a need for more studies on advanced resistance training methods, e.g., contrast, complex, ballistic training, because much greater demands are placed on handball performance assumptions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.