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Study note

Importance of Various Training-Load Measures in Injury Incidence of Professional Rugby League Athletes.

PMID 27918659 (2017): injury, load — Injury risk (study note for endurance athletes).

Updated Jul 22, 2026

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Study note • PMID 27918659

Importance of Various Training-Load Measures in Injury Incidence of Professional Rugby League Athletes.

International journal of sports physiology and performance2017 • DOI 10.1123/ijspp.2016-0326

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 investigate the ability of various internal and external training-load (TL) monitoring measures to predict injury incidence among positional groups in professional rugby league athletes. (controlled study; athletes).

The abstract reports an association involving Injury risk (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: To investigate the ability of various internal and external training-load (TL) monitoring measures to predict injury incidence among positional groups in professional rugby league athletes.
  • The abstract reports an association involving Injury risk (not necessarily causation).
  • Population: athletes.
  • Protocol cues (title/abstract): 5 m.

Protocol

Protocol (as reported)

  • Intervention/exposure: injury, load.
  • Dose/time/duration cues in abstract/title: 5 m.
  • 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 (athletes) 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: athletes.
  • Outcomes measured: Injury risk.
  • Protocol cues mentioned: 5 m.
  • Source: PubMed PMID 27918659 (2017) — International journal of sports physiology and performance.

Results excerpt

What the abstract reports

Injury risk factors varied according to positional group.

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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Sources