Study note • PMID 24532151
The effect of strength training on performance in endurance athletes.
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 was to search the body of scientific literature for original research investigating the effect of strength training on performance indicators in well-trained endurance… (systematic review / meta-analysis; well-trained athletes).
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 was to search the body of scientific literature for original research investigating the effect of strength training on performance indicators in well-trained endurance…
- • In this systematic review / meta-analysis, the abstract suggests a positive relationship with Running economy.
- • Population: well-trained athletes.
- • Protocol cues (title/abstract): 6 months • 5 weeks • 6 h.
Protocol
Protocol (as reported)
- • Intervention/exposure: strength training, neuromuscular.
- • Dose/time/duration cues in abstract/title: 6 months • 5 weeks • 6 h.
- • 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 athletes) 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 athletes.
- • Outcomes measured: Running economy, Injury risk.
- • Protocol cues mentioned: 6 months • 5 weeks • 6 h.
- • Source: PubMed PMID 24532151 (2014) — Sports medicine (Auckland, N.Z.).
Results excerpt
What the abstract reports
“However, it is evident that further research is needed.”
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.
Adaptive AI coach for iPhone
Meet your adaptive AI coach.
Tell your coach what you are training for. It builds the plan, follows the work you complete, and adapts upcoming training when recovery, your schedule, or real life changes.
Keep going
Performance Science Lab
Research summaries for endurance athletes, with study context, practical protocols, and clear limitations.
Strength performance research
Strength work is a performance tool for endurance athletes when it’s specific, minimal, and repeatable.
Strength training for running economy: what to do (without ruining your runs)
Evidence-informed protocol: Strength training for running economy: what to do (without ruining your runs). Practical steps, who it helps, and what to watch out for.