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Head-to-head running race simulation alters pacing strategy, performance, and mood state.

PMID 26013576 (2015): pacing — Time-trial performance (study note for endurance athletes).

Last updated/Feb 23, 2026, 11:13 PM

Study note • PMID 26013576

Head-to-head running race simulation alters pacing strategy, performance, and mood state.

Physiology & behavior2015 • DOI 10.1016/j.physbeh.2015.05.021
Evidence C56/100
Action 2: Consider

Worth trying if it fits your goal and context.

ELI5

In plain language

The objective of this study was to analyze the influence of the presence and absence of competitors on pacing, overall running performance, and mood state during a self-paced 3-km run. (controlled study; recreational 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 objective of this study was to analyze the influence of the presence and absence of competitors on pacing, overall running performance, and mood state during a self-paced 3-km run.
  • The abstract reports an association involving Time-trial performance (not necessarily causation).
  • Population: recreational runners.
  • Protocol cues (title/abstract): 0.05 min • 0.06 min • 500 m • 16 km • 45 km • 400 m.

Protocol

Protocol (as reported)

  • Intervention/exposure: pacing (vs comparison group).
  • Dose/time/duration cues in abstract/title: 0.05 min • 0.06 min • 500 m • 16 km • 45 km • 400 m.
  • 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 (recreational runners) 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: recreational runners.
  • Comparator: comparison group.
  • Outcomes measured: Time-trial performance.
  • Protocol cues mentioned: 0.05 min • 0.06 min • 500 m • 16 km • 45 km • 400 m.
  • Source: PubMed PMID 26013576 (2015) — Physiology & behavior.

Results excerpt

What the abstract reports

Additionally, the post running vigor was significantly higher in IND compared to COL (p = 0.03).These findings suggested that the presence of competitors induces a fast start, which results in an improved overall performance and reduced post-exercise vigor scores, compared to an individual run.

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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Sources