Study note • PMID 34267588
Training Load, Heart Rate Variability, Direct Current Potential and Elite Long Jump Performance Prior and during the 2016 Olympic Games.
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
The primary objective of this investigation was to investigate the relationships between training load (TL), heart rate variability (HRV) and direct current potential (DC) with elite long jump performance… (controlled study; elite athletes).
The abstract reports an association involving Recovery speed (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: The primary objective of this investigation was to investigate the relationships between training load (TL), heart rate variability (HRV) and direct current potential (DC) with elite long jump performance…
- • The abstract reports an association involving Recovery speed (not necessarily causation).
- • Population: elite athletes.
- • Protocol cues (title/abstract): 05 m.
Protocol
Protocol (as reported)
- • Intervention/exposure: heart rate variability, hrv (vs comparison group).
- • Dose/time/duration cues in abstract/title: 05 m.
- • Outcomes: Recovery speed.
- • 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 (elite athletes) working on monitoring.
- • Athletes who can measure Recovery speed 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: elite athletes.
- • Comparator: comparison group.
- • Outcomes measured: Recovery speed.
- • Protocol cues mentioned: 05 m.
- • Source: PubMed PMID 34267588 (2021) — Journal of sports science & medicine.
Results excerpt
What the abstract reports
“Successful compared to unsuccessful intra-athlete performances were characterised by a higher chronic TL (p < 0.01, f(2) = 0.31) but only when TL was exponentially smoothed.”
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.
Adaptive AI coach for iPhone
Meet your adaptive AI coach.
Tell your coach what you are training for. It builds the plan, follows the work you complete, and adapts upcoming training when recovery, your schedule, or real life changes.
Keep going
Performance Science Lab
Research summaries for endurance athletes, with study context, practical protocols, and clear limitations.
Monitoring performance research
Monitoring is useful when it changes decisions: training load, recovery signals, and pacing control.
Caffeine for endurance performance: a practical protocol
Evidence-informed protocol: Caffeine for endurance performance: a practical protocol. Practical steps, who it helps, and what to watch out for.