Alto rendimiento: de la ciencia a la práctica

Key ideas & strategies from the webinar (wellness/performance + productivity)

1) Redefine “high performance” (don’t equate it with only extreme goals)

• High performance isn’t just “setting a goal and achieving it at maximum effort.”
• Use science to understand how far an athlete can realistically improve based on their current training level and weekly activity.

2) Start with the athlete’s context (transferability matters)

Consider:

• What performance level are you working with (sedentary → recreational → trained)?
• What is the athlete’s weekly training volume?

Don’t blindly apply studies from elite populations to amateur/physically active people. Critically judge which training methods fit the athlete’s capacity and constraints.

3) Use the “pyramid of evidence” to avoid weak recommendations

• Lower-evidence content (expert opinions, anecdotes, editorials) is less reliable.
• Higher-evidence levels (especially systematic reviews/meta-analyses) are more rigorous and more trustworthy.

Practical takeaway: look for evidence → read → understand → apply critically.

4) Evidence-based practice as a step-by-step workflow

1. Formulate a relevant training question.
2. Search databases for the best available evidence.
3. Start with systematic reviews/meta-analyses when possible.
4. Evaluate the level of evidence, then read in detail with a critical mindset.
5. Monitor outcomes over time to confirm whether it works for your specific athlete/population.

5) Resource analysis before implementing “best” methods

Before changing training or adopting technology, evaluate:

• Human resources: staffing level (physiotherapy, medical, nutrition, psychology, rehab, coaches).
• Time resources: how many days/week athletes can realistically train.
• Material/economic resources: e.g., GPS, lab testing, advanced recovery tools.

Example strategy emphasized:

• If you don’t have full staff or devices, adapt and use methods that are feasible.
• Don’t let “ideal tools” block application of effective, lower-cost interventions.

6) Feasible monitoring without expensive tech

If internal-load tools (HRV, lactate, etc.) aren’t available:

• Use validated subjective measures.

Example given:

• Borg scale (Rating of Perceived Exertion) to quantify training load.

The talk also suggests that RPE-based approaches can correlate with external load when used with methodological rigor.

7) Practical injury prevention/recovery priorities (even with limited budgets)

If high-end resources aren’t available, prioritize:

• Proprioception / balance training
• Functional training (e.g., self-loading, resistance bands, eccentric work)
• Functional movement patterns and flexibility assessments
• Adapt “best evidence” to constraints (or innovate to approximate it)

8) Build a training load plan using evidence + progression

• Use findings about internal/external load relationships in team sports.
• Apply a season structure (example mentioned: microcycles in preparatory vs competitive periods).
• Keep workload progression aligned with what your context can support.

9) Collaboration and support (productivity through partnerships)

• Don’t stay isolated in high performance.
• Universities and institutions can provide:
  • Material resources
  • Access to technology/data
  • Scientific productivity and applied research support

10) Program structure (productivity/learning methodology)

The talk promotes a structured academic pathway to implement the above in real practice:

• Blended learning (virtual + in-person)
• Regular webinars/seminars with Q&A
• Intensive in-person phase with practical workshops
• Internship + final master’s project to apply learning to real contexts

---

Presenters / sources

• Carlos Lago Fuentes (presenter/host)
• Freddy Carlos Lago Puente (PhD in Sports Science; referenced as a contributor/related profile)

International/evidence sources mentioned (not named fully in subtitles)

• Yale (referenced for an infographic on athlete training categorization)
• An International athletic activity/training context (subtitles suggest an “International” source)
• Sports Medicine / indexed journals (referenced for meta-analyses)
• ANEC / Spanish National Agency for Academic Quality Assessment (mentioned regarding program accreditation)