Study note • PMID 20479489
Glycemic index and endurance performance.
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: expert consensus / guideline.
- • 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 aim of this review is to provide an up-to-date summary of the evidence surrounding glycemic index (GI) and endurance performance. (expert consensus / guideline; athletes).
In this expert consensus / guideline, the abstract suggests a positive relationship with Time-trial performance, Fat oxidation. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.
Takeaways
What the abstract suggests
- • Study question: The aim of this review is to provide an up-to-date summary of the evidence surrounding glycemic index (GI) and endurance performance.
- • In this expert consensus / guideline, the abstract suggests a positive relationship with Time-trial performance, Fat oxidation.
- • Population: athletes.
- • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.
Protocol
Protocol (as reported)
- • Intervention/exposure: carbohydrate, carb.
- • Dose/time/duration: abstract doesn’t include enough detail; use the full paper’s methods section.
- • Outcomes: Time to exhaustion, Time-trial performance, Fat oxidation.
- • 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 (athletes) working on fueling.
- • Athletes who can measure Time to exhaustion, Time-trial performance, Fat oxidation 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: expert consensus / guideline.
- • Population: athletes.
- • Outcomes measured: Time to exhaustion, Time-trial performance, Fat oxidation.
- • Source: PubMed PMID 20479489 (2010) — International journal of sport nutrition and exercise metabolism.
Results excerpt
What the abstract reports
“Only 1 study was designed to directly investigate the impact of the GI of CHO ingested during exercise on endurance performance.”
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.
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.
Fueling performance research
Fueling is performance, not just health: the right carbs at the right time change outcomes.
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.