Study note • PMID 32121027
Pacing and Performance Analysis of the World's Fastest Female Ultra-Triathlete in 5x and 10x Ironman.
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
The aim of the present case study was to analyse the performance data of the world's best female ultra-triathlete setting a new world record in a Quintuple (5xIronman) and… (controlled study; elite triathletes).
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 the present case study was to analyse the performance data of the world's best female ultra-triathlete setting a new world record in a Quintuple (5xIronman) and…
- • The abstract doesn’t indicate a clear change in Time-trial performance under the tested conditions.
- • Population: elite triathletes.
- • 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 may help, and who should be cautious
Who it helps
- • Athletes similar to the study population (elite triathletes) 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: elite triathletes.
- • Outcomes measured: Time-trial performance.
- • Source: PubMed PMID 32121027 (2020) — International journal of environmental research and public health.
Results excerpt
What the abstract reports
“There was no difference between the race days of the average speed neither in cycling nor running.”
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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