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Running Economy Benefits of Advanced Footwear Technologies Remain over a Prolonged Run in Highly Trained Distance Runners-A Randomized Crossover Trial.

PMID 40762986 (2025): biomechanics — Running economy (study note for endurance athletes).

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

Study note • PMID 40762986

Running Economy Benefits of Advanced Footwear Technologies Remain over a Prolonged Run in Highly Trained Distance Runners-A Randomized Crossover Trial.

Medicine and science in sports and exercise2025 • DOI 10.1249/MSS.0000000000003823
Evidence B71/100
Action 1: Default

Low risk + high feasibility for most athletes.

ELI5

In plain language

Running economy (RE) improvements in advanced footwear technologies (AFTs) have been investigated during short running bouts, whereas performance-enhancing effects may be greater over longer distances. (randomized trial; trained runners).

The abstract doesn’t indicate a clear change in Running economy 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: Running economy (RE) improvements in advanced footwear technologies (AFTs) have been investigated during short running bouts, whereas performance-enhancing effects may be greater over longer distances.
  • The abstract doesn’t indicate a clear change in Running economy under the tested conditions.
  • Population: trained runners.
  • Protocol cues (title/abstract): 90 min • 10 km.

Protocol

Protocol (as reported)

  • Intervention/exposure: biomechanics (vs comparison group).
  • Dose/time/duration cues in abstract/title: 90 min • 10 km.
  • Outcomes: Running economy.
  • 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 (trained runners) working on biomechanics.
  • Athletes who can measure Running economy 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: randomized trial.
  • Population: trained runners.
  • Comparator: comparison group.
  • Outcomes measured: Running economy.
  • Protocol cues mentioned: 90 min • 10 km.
  • Source: PubMed PMID 40762986 (2025) — Medicine and science in sports and exercise.

Results excerpt

What the abstract reports

ECOT was different between AFT and non-AFT ( beta = 0.57 (0.41-0.72), P = 0.009) throughout 15 to 90 min.

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).
  • 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