Study note • PMID 38627351
The Effect of Strength Training Methods on Middle-Distance and Long-Distance Runners' Athletic Performance: A Systematic Review with 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: athlete/trained context.
- • Consistency: synthesis evidence present.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
The aim of this systematic review with meta-analysis was to compare the effect of different strength training methods (e.g., high load, submaximal load, plyometric, combined) on performance (i.e., time… (systematic review / meta-analysis; well-trained 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: The aim of this systematic review with meta-analysis was to compare the effect of different strength training methods (e.g., high load, submaximal load, plyometric, combined) on performance (i.e., time…
- • In this systematic review / meta-analysis, the abstract suggests a positive relationship with Running economy.
- • Population: well-trained runners.
- • Protocol cues (title/abstract): 3 weeks • 40 weeks.
Protocol
Protocol (as reported)
- • Intervention/exposure: strength training, plyometric.
- • Dose/time/duration cues in abstract/title: 3 weeks • 40 weeks.
- • 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 (well-trained 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: well-trained runners.
- • Outcomes measured: Running economy, Injury risk.
- • Protocol cues mentioned: 3 weeks • 40 weeks.
- • Source: PubMed PMID 38627351 (2024) — Sports medicine (Auckland, N.Z.).
Results excerpt
What the abstract reports
“The certainty of the evidence was very low to moderate.”
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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