Study note • PMID 36818970
Does a greater training load increase the risk of injury and illness in ultramarathon runners? : A prospective, descriptive, longitudinal design.
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 determine if there are any associations between injury and illness incidences and training loads among ultramarathon runners in the 12 week period preceding an ultramarathon event and the… (controlled study; n=119 runners).
The abstract suggests a positive effect on Injury risk 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: To determine if there are any associations between injury and illness incidences and training loads among ultramarathon runners in the 12 week period preceding an ultramarathon event and the…
- • The abstract suggests a positive effect on Injury risk under the tested conditions.
- • Population: n=119 runners.
- • Protocol cues (title/abstract): 12 week • 16 weeks • 30 km.
Protocol
Protocol (as reported)
- • Intervention/exposure: injury, load.
- • Dose/time/duration cues in abstract/title: 12 week • 16 weeks • 30 km.
- • Outcomes: Injury risk.
- • 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 (n=119 runners) working on injury risk.
- • Athletes who can measure Injury risk 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: n=119 runners.
- • Outcomes measured: Injury risk.
- • Protocol cues mentioned: 12 week • 16 weeks • 30 km.
- • Source: PubMed PMID 36818970 (2020) — South African journal of sports medicine.
Results excerpt
What the abstract reports
“The overall injury incidence was five per 1000 training hours and the overall illness incidence was 16 per 1000 training days.”
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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