Cited by 33Muscle metabolism and nutritionCardiovascular and exercise physiologySports Performance and Training

Altering fatty acid availability does not impair prolonged, continuous running to fatigue: evidence for carbohydrate dependence

Open access
Leckey, Jill J., Burke, Louise M., Morton, James P., Hawley, John A.·2016·Journal of Applied Physiology

Abstract

We determined the effect of suppressing lipolysis via administration of nicotinic acid (NA) on fuel substrate selection and half-marathon running capacity. In a single-blinded, Latin square design, 12 competitive runners completed four trials involving treadmill running until volitional fatigue at a pace based on 95% of personal best half-marathon time. Trials were completed in a fed or overnight fasted state: 1) carbohydrate (CHO) ingestion before (2 g CHO·kg−1·body mass−1) and during (44 g/h) [CFED]; 2) CFED plus NA ingestion [CFED-NA]; 3) fasted with placebo ingestion during [FAST]; and 4) FAST plus NA ingestion [FAST-NA]. There was no difference in running distance (CFED, 21.53 ± 1.07; CFED-NA, 21.29 ± 1.69; FAST, 20.60 ± 2.09; FAST-NA, 20.11 ± 1.71 km) or time to fatigue between the four trials. Concentrations of plasma free fatty acids (FFA) and glycerol were suppressed following NA ingestion irrespective of preexercise nutritional intake but were higher throughout exercise in FAST compared with all other trials ( P < 0.05). Rates of whole-body CHO oxidation were unaffected by NA ingestion in the CFED and FAST trials, but were lower in the FAST trial compared with the CFED-NA trial ( P < 0.05). CHO was the primary substrate for exercise in all conditions, contributing 83-91% to total energy expenditure with only a small contribution from fat-based fuels. Blunting the exercise-induced increase in FFA via NA ingestion did not impair intense running capacity lasting ∼85 min, nor did it alter patterns of substrate oxidation in competitive athletes. Although there was a small but obligatory use of fat-based fuels, the oxidation of CHO-based fuels predominates during half-marathon running.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1152/japplphysiol.00855.2015

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • During sustained high intensity exercise (>70% VO2max), which is common during competition, CHO is the primary substrate relied upon despite short and long term fat acclimation.

    “However, during sustained high intensity exercise (>70% VO2max) which is common during competition, CHO is the primary substrate relied upon despite short and long term fat acclimation [71, 75].”

    From Understanding the factors that effect maximal fat oxidation. (2018) · cites this paper as [75]

    The Introduction says carbohydrate is the predominant fuel at the high exercise intensities sustained in competition, including relative intensities of 70–90% VO₂max. The Discussion reports that carbohydrate supplied 83–91% of energy during the study’s intense running trials, even when participants fasted overnight. The study did not test short- or long-term fat acclimation, so that qualifier is not established by this source. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Leckey, J. J., Burke, L. M., Morton, J. P., & Hawley, J. A.
Affiliations
  • Australian Catholic University (AU)
  • Sports Nutrition, Australian Institute of Sport, Canberra, Australia; and
  • Liverpool John Moores University (GB)
Corresponding author
Hawley, John A.
Venue
Journal of Applied Physiology
Published
2016-01-15
Volume
120
Issue
2
Pages
107-113
ISSN
  • 0161-7567 (ISSN-L)
  • 8750-7587
  • 1522-1601
OpenAlex
W2176537911
Cited by
33
References
34
Citations by year
2026: 3 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 6 · 2017: 2 · 2016: 3
FWCI
1.95
Type
journal article
Language
en
Locations
  • Journal of Applied Physiology (publishedVersion)
  • PubMed (publishedVersion)
  • Liverpool John Moores University (submittedVersion)
  • Research Bank (Australian Catholic University) (submittedVersion)
Funders
  • Department of Sports Nutrition at the Australian Institute of Sport (AIS)
  • SiS (Science in Sport) Limited, UK
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
nicotinic acid, free fatty acids, carbohydrate oxidation, running fatigue, fasting, endurance exercise, glycerol, competitive runners
MeSH terms
Adult, Dietary Carbohydrates, Energy Metabolism, Fatigue, Fatty Acids, Nonesterified, Glycerol, Humans, Lipolysis, Male, Oxidation-Reduction, Running, Exercise, Single-Blind Method

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review