Study note • PMID 20012450
Effect of performance level on pacing strategy during a 10-km running race.
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: randomized trial.
- • Population relevance: athlete/trained context.
- • Consistency: single-study evidence.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
The aim of this study was to examine the influence of the performance level of athletes on pacing strategy during a simulated 10-km running race, and the relationship between… (randomized trial; runners).
The abstract reports an association involving Time-trial performance (not necessarily causation). 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 study was to examine the influence of the performance level of athletes on pacing strategy during a simulated 10-km running race, and the relationship between…
- • The abstract reports an association involving Time-trial performance (not necessarily causation).
- • Population: runners.
- • Protocol cues (title/abstract): 48 h • 15 km • 4 km • 400 m • 000 m • 600 m.
Protocol
Protocol (as reported)
- • Intervention/exposure: pacing.
- • Dose/time/duration cues in abstract/title: 48 h • 15 km • 4 km • 400 m • 000 m • 600 m • 6 km • 7 km.
- • Outcomes: Time-trial performance.
- • 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 (runners) working on pacing.
- • Athletes who can measure Time-trial performance 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: randomized trial.
- • Population: runners.
- • Outcomes measured: Time-trial performance.
- • Protocol cues mentioned: 48 h • 15 km • 4 km • 400 m • 000 m • 600 m • 6 km • 7 km.
- • Source: PubMed PMID 20012450 (2010) — European journal of applied physiology.
Results excerpt
What the abstract reports
“Based on 10-km running performance, subjects were divided into terziles, with the lower terzile designated the low-performing (LP) and the upper terzile designated the high-performing (HP) group.”
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).
- • Single studies often don’t generalize to your event, history, and training load; treat results as a starting point.
- • 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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