Study note • PMID 30357515
Level, uphill and downhill running economy values are strongly inter-correlated.
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
Exercise economy is not solely an intrinsic physiological trait because economy in one mode of exercise (e.g., running) does not strongly correlate with economy in another mode (e.g. (controlled study; 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: Exercise economy is not solely an intrinsic physiological trait because economy in one mode of exercise (e.g., running) does not strongly correlate with economy in another mode (e.g.
- • The abstract doesn’t indicate a clear change in Running economy under the tested conditions.
- • Population: trained runners.
- • Protocol cues (title/abstract): 238 m • 167 m • 291 m.
Protocol
Protocol (as reported)
- • Intervention/exposure: level, uphill (vs comparison group).
- • Dose/time/duration cues in abstract/title: 238 m • 167 m • 291 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 (trained 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: trained runners.
- • Comparator: comparison group.
- • Outcomes measured: Running economy.
- • Protocol cues mentioned: 238 m • 167 m • 291 m.
- • Source: PubMed PMID 30357515 (2019) — European journal of applied physiology.
Results excerpt
What the abstract reports
“We reject our hypothesis based on the strong correlations of r = 0.909, r = 0.901 and r = 0.830, respectively, between LRE vs.”
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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