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Study note

A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics.

PMID 28503379 (2017): biomechanics — Running economy (study note for endurance athletes).

Updated Jul 22, 2026

Read the study note

Study note • PMID 28503379

A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics.

PeerJ2017 • DOI 10.7717/peerj.3298

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: mixed/unclear athlete specificity.
  • Consistency: single-study evidence.
  • Practical recommendation depends on tolerance, context, and whether it protects training consistency.

ELI5

In plain language

BACKGROUND: The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of… (controlled study; runners).

The abstract suggests a trade-off or negative effect affecting Running economy. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.

Takeaways

What the abstract suggests

  • Study question: BACKGROUND: The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of…
  • The abstract suggests a trade-off or negative effect affecting Running economy.
  • Population: runners.
  • Protocol cues (title/abstract): 5 m.

Protocol

Protocol (as reported)

  • Intervention/exposure: biomechanics.
  • Dose/time/duration cues in abstract/title: 5 m.
  • Outcomes: Running economy.
  • 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 (runners) working on biomechanics.
  • Athletes who can measure Running economy 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: runners.
  • Outcomes measured: Running economy.
  • Protocol cues mentioned: 5 m.
  • Source: PubMed PMID 28503379 (2017) — PeerJ.

Results excerpt

What the abstract reports

A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats.

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