Study note • PMID 40550392
The effects of running shoe longitudinal bending stiffness and midsole energy return on oxygen consumption and ankle mechanics and energetics: A systematic review and meta-analysis.
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: systematic review / meta-analysis.
- • Population relevance: mixed/unclear athlete specificity.
- • Consistency: synthesis evidence present.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
We aimed to investigate the effects of running shoe longitudinal bending stiffness (LBS) and midsole energy return on running economy and ankle mechanics and energetics. (systematic review / meta-analysis; n=878 runners).
In this systematic review / meta-analysis, the abstract is mixed or unclear for 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: We aimed to investigate the effects of running shoe longitudinal bending stiffness (LBS) and midsole energy return on running economy and ankle mechanics and energetics.
- • In this systematic review / meta-analysis, the abstract is mixed or unclear for Running economy.
- • Population: n=878 runners.
- • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.
Protocol
Protocol (as reported)
- • Intervention/exposure: running, shoe.
- • Dose/time/duration: abstract doesn’t include enough detail; use the full paper’s methods section.
- • 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 (n=878 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: systematic review / meta-analysis.
- • Population: n=878 runners.
- • Outcomes measured: Running economy.
- • Source: PubMed PMID 40550392 (2025) — Journal of sport and health science.
Results excerpt
What the abstract reports
“Of the 2453 studies screened, 48 were included (n = 878).”
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).
- • Reviews and consensus statements mix protocols and populations; recommendations may not match your exact constraints.
- • 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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