Study note • PMID 33956587
Effects of jump training on physical fitness and athletic performance in endurance runners: A meta-analysis.
How to use this page
This note summarizes one study record. Check the participants, methods, results, and limitations before applying it to training.
- • Design signal: systematic review / meta-analysis.
- • Population relevance: mixed/unclear athlete specificity.
- • Consistency: synthesis evidence present.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
This systematic review and meta-analysis aimed to assess the effects of jump training (JT) on measures of physical fitness and athletic performances in endurance runners. (systematic review / meta-analysis; n=511 runners).
In this systematic review / meta-analysis, the abstract suggests a positive relationship with Running economy. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.
Takeaways
What the abstract suggests
- • Study question: This systematic review and meta-analysis aimed to assess the effects of jump training (JT) on measures of physical fitness and athletic performances in endurance runners.
- • In this systematic review / meta-analysis, the abstract suggests a positive relationship with Running economy.
- • Population: n=511 runners.
- • Protocol cues (title/abstract): 0 km.
Protocol
Protocol (as reported)
- • Intervention/exposure: jump, physical.
- • Dose/time/duration cues in abstract/title: 0 km.
- • Outcomes: Running economy, Injury risk.
- • Replication note: abstracts often omit adherence and timing; confirm details before changing training or supplementation.
Fit
Who it may help, and who should be cautious
Who it helps
- • Athletes similar to the study population (n=511 runners) working on strength.
- • Athletes who can measure Running economy, Injury risk with a repeatable workout or time-trial effort.
Who should be cautious
- • If you have symptoms or conditions that make the intervention risky, get professional guidance.
- • If you’re near race day and can’t safely test, defer the experiment.
Methods
What the study actually did
- • Design: systematic review / meta-analysis.
- • Population: n=511 runners.
- • Outcomes measured: Running economy, Injury risk.
- • Protocol cues mentioned: 0 km.
- • Source: PubMed PMID 33956587 (2021) — Journal of sports sciences.
Results excerpt
What the abstract reports
“A random-effects model was used to calculate effect sizes (ES; Hedge's g).”
Note: excerpts are short; for full context, read the paper.
Limits
Limitations and bias
- • Abstract-only summaries can miss critical details (population, protocol, adherence, and context).
- • Reviews and consensus statements mix protocols and populations; recommendations may not match your exact constraints.
- • If your context differs (elite vs recreational; cycling vs running), adjust expectations and be conservative.
- • This is performance information, not medical advice.
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