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Pacing and predictors of performance during cross-country skiing races: A systematic review.

PMID 30450246 (2018): pacing, even pacing — Time-trial performance (study note for endurance athletes).

Last updated/Feb 23, 2026, 10:34 PM

Study note • PMID 30450246

Pacing and predictors of performance during cross-country skiing races: A systematic review.

Journal of sport and health science2018 • DOI 10.1016/j.jshs.2018.09.005
Evidence B79/100
Action 1: Default

Low risk + high feasibility for most athletes.

ELI5

In plain language

BACKGROUND: Cross-country skiing (XCS) racing, a popular international winter sport, is complex and challenging from physical, technical, and tactical perspectives. (systematic review / meta-analysis; elite athletes).

In this systematic review / meta-analysis, the abstract reports associations 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: BACKGROUND: Cross-country skiing (XCS) racing, a popular international winter sport, is complex and challenging from physical, technical, and tactical perspectives.
  • In this systematic review / meta-analysis, the abstract reports associations involving Time-trial performance (not necessarily causation).
  • Population: elite athletes.
  • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.

Protocol

Protocol (as reported)

  • Intervention/exposure: pacing, even 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 (elite 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: systematic review / meta-analysis.
  • Population: elite athletes.
  • Outcomes measured: Time-trial performance.
  • Source: PubMed PMID 30450246 (2018) — Journal of sport and health science.

Results excerpt

What the abstract reports

Furthermore, we would advise less experienced skiers and/or those with lower levels of performance to apply a more even pacing strategy rather than a positive one (i.e., starting the race too fast).

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).
  • 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.

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Sources

26weeks.ai - Adaptive AI Coach | Pacing and predictors of performance during cross-cou… (PMID 30450246)