Study note • PMID 24791914
A step towards personalized sports nutrition: carbohydrate intake during exercise.
Worth trying if it fits your goal and context.
ELI5
In plain language
There have been significant changes in the understanding of the role of carbohydrates during endurance exercise in recent years, which allows for more specific and more personalized advice with… (expert consensus / guideline; n=51 well-trained cyclists).
In this expert consensus / guideline, the abstract suggests a positive relationship with Time-trial performance. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.
Takeaways
What the abstract suggests
- • Study question: There have been significant changes in the understanding of the role of carbohydrates during endurance exercise in recent years, which allows for more specific and more personalized advice with…
- • In this expert consensus / guideline, the abstract suggests a positive relationship with Time-trial performance.
- • Population: n=51 well-trained cyclists.
- • Protocol cues (full paper): 0.7 g/kg • 6.5 g/kg • 1.5 g/kg • 5 g/kg • 1.0 g/kg • 1.1 g/kg.
Protocol
Protocol (as reported)
- • Intervention/exposure: carbohydrate, carb.
- • Dose/time/duration cues found in the full paper: 0.7 g/kg • 6.5 g/kg • 1.5 g/kg • 5 g/kg • 1.0 g/kg • 1.1 g/kg • 28 days • 4 h.
- • 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 helps, and who should skip it
Who it helps
- • Athletes similar to the study population (n=51 well-trained cyclists) 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 skip
- • 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 (placebo-controlled).
- • Population: n=51 well-trained cyclists.
- • Outcomes measured: Time to exhaustion, Time-trial performance, Fat oxidation.
- • Protocol cues mentioned: 1 h • 3 h.
- • Source: PubMed PMID 24791914 (2014) — Sports medicine (Auckland, N.Z.).
Full paper
What the full paper adds
- • Design features (paper): placebo-controlled.
- • Participants (paper): n=51 well-trained cyclists.
- • More protocol detail (paper): 0.7 g/kg • 6.5 g/kg • 1.5 g/kg • 5 g/kg • 1.0 g/kg • 1.1 g/kg • 28 days • 4 h.
Results excerpt
What the abstract reports
“For ultra-endurance events, the recommendation is higher at approximately 90 g/h.”
Note: excerpts are short; for full context, read the paper.
Limits
Limitations & 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.
Coaching beta
Get a plan that adapts to your life.
Join the 26weeks.ai TestFlight beta for adaptive coaching, recovery-aware adjustments, and race-week reminders.
Keep going
Performance Science Lab
Research-backed protocols and evidence grades for endurance performance — built for athletes.
Fueling performance research
Fueling is performance, not just health: the right carbs at the right time change outcomes.
Carbohydrate fueling for long runs: a protocol you can practice
Evidence-informed protocol: Carbohydrate fueling for long runs: a protocol you can practice. Practical steps, who it helps, and what to watch out for.
Time to exhaustion research for endurance athletes
A lab outcome that can still guide training: it often tracks fatigue resistance.
Time-trial performance research for endurance athletes
Practical performance outcome used in many studies: closer to racing than lab-only metrics.