Study note • PMID 26034882
The influence of performance level, age and gender on pacing strategy during a 100-km ultramarathon.
Worth trying if it fits your goal and context.
ELI5
In plain language
The aim of this study is to analyse the influence of performance level, age and gender on pacing during a 100-km ultramarathon. (controlled study; athletes).
The abstract doesn’t indicate a clear change in Time-trial performance under the tested conditions. 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 is to analyse the influence of performance level, age and gender on pacing during a 100-km ultramarathon.
- • The abstract doesn’t indicate a clear change in Time-trial performance under the tested conditions.
- • Population: athletes.
- • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.
Protocol
Protocol (as reported)
- • Intervention/exposure: pacing.
- • Dose/time/duration: abstract doesn’t include enough detail; use the full paper’s methods section.
- • Outcomes: Time-trial performance.
- • Replication note: abstracts often omit adherence and timing; confirm details before changing training or supplementation.
Fit
Who it helps, and who should skip it
Who it helps
- • Athletes similar to the study population (athletes) working on pacing.
- • Athletes who can measure Time-trial performance with a repeatable workout or time-trial effort.
Who should skip
- • 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: controlled study.
- • Population: athletes.
- • Outcomes measured: Time-trial performance.
- • Source: PubMed PMID 26034882 (2016) — European journal of sport science.
Results excerpt
What the abstract reports
“Overall strategies remained consistent across age categories, although a similar phenomenon was observed within each category whereby 'top' competitors displayed lower relative speeds than 'bottom' competitors in the early stages, but higher relative speeds in the later stages.”
Note: excerpts are short; for full context, read the paper.
Limits
Limitations & 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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