Skip to content

Study note

Pacing Strategy During 24-Hour Ultramarathon-Distance Running.

PMID 27618658 (2017): pacing, even pacing — Time-trial performance (study note for endurance athletes).

Updated Jul 22, 2026

Read the study note

Study note • PMID 27618658

Pacing Strategy During 24-Hour Ultramarathon-Distance Running.

International journal of sports physiology and performance2017 • DOI 10.1123/ijspp.2016-0237

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: controlled study.
  • 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

To describe pacing strategy in a 24-h running race and its interaction with sex, age group, athletes' performance group, and race edition. (controlled study; runners).

The abstract suggests a trade-off or negative effect affecting Time-trial performance. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.

Takeaways

What the abstract suggests

  • Study question: To describe pacing strategy in a 24-h running race and its interaction with sex, age group, athletes' performance group, and race edition.
  • The abstract suggests a trade-off or negative effect affecting Time-trial performance.
  • Population: runners.
  • Protocol cues (title/abstract): 1.3 h • 2 h • 0 km.

Protocol

Protocol (as reported)

  • Intervention/exposure: pacing, even pacing.
  • Dose/time/duration cues in abstract/title: 1.3 h • 2 h • 0 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: controlled study.
  • Population: runners.
  • Outcomes measured: Time-trial performance.
  • Protocol cues mentioned: 1.3 h • 2 h • 0 km.
  • Source: PubMed PMID 27618658 (2017) — International journal of sports physiology and performance.

Results excerpt

What the abstract reports

While the general behavior represents a rough reverse J-shaped pattern, the fastest runners start at lower relative intensities and display a more even pacing strategy than slower runners.

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.

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

Sources