NAP: Training (2007)
Citation:
Erlenbusch M, Haub M, Munoz K, MacConnie S, Stillwell B. Effect of high-fat or high-carbohydrate diets on endurance exercise: a meta-analysis. Int J Sport Nutr Exerc Metab. 2005; 15 (1): 1-14.
PubMed ID: 15902985Study Design:
Meta-analysis or Systematic Review
Class:
M - Click here for explanation of classification scheme.
Quality Rating:

Research Purpose:
To clarify whether the literature favors a high-fat or high-carbohydrate diet to yield superior endurance exercise performance, as measured by exercise time to exhaustion or time trial performance.
Inclusion Criteria:
- Online computer searches (SportDiscus and Medline) were conducted to locate research, published 1930 to present, concerning effects of high-carbohydrate and high-fat diets on endurance exercise performance
- Key words noted
- On completion of computer search, resulting studies were hand-screened and additional reference lists generated, until no new studies were found
- A high-fat diet was defined as consisting of more than 30% dietary fat and a high-carbohydrate diet was defined as having over 50% carbohydrate
- Endurance exercise was defined as 60% to 90% VO2max
- Acceptable dietary adaptation periods defined to be no less than three days
- Only cycling and running modalities were accepted.
Exclusion Criteria:
- Trials using medium-chain triglycerides as a substitute for high dietary fat intake were not included because endurance athletes do not typically use such interventions
- Trials with variables incompatible with measures needed for the analysis were extracted.
Description of Study Protocol:
- Recruitment: 20 published trials were analyzed to compare exercise performance under different diets
- Design: Meta-analysis
- Blinding used: Not applicable
- Intervention: High-carbohydrate or high-fat diets.
Statistical Analysis
- For each study, an effect size was calculated to quantify the effect of various diets on endurance performance using a modified version of Glass' effect size equation
- A pooled standard deviation was used as a control group
- To correct for small sample size bias, each effect size was multiplied by a correction factor prior to further analysis
- To determine the influence of moderator variables (i.e., training status, experiment duration, gender), each variable was correlated to effect size via regression analysis
- The test for homogeneity was also completed to determine if all studies are estimating the same measures.
Data Collection Summary:
Timing of Measurements
Only studies with dietary adaptation periods not less than three days.
Dependent Variables
- Endurance exercise performance, as measured by exercise time to exhaustion or time trial performance
- Exercise intensity
- Mode of exercise.
Independent Variables
- High-fat or high-carbohydrate diets
- Duration of dietary modification.
Control Variables
- Training status
- Gender.
Description of Actual Data Sample:
Initial N: 38 studies originally identified for inclusion
Attrition (final N)
- 20 analyzed, 18 not appropriate
- Six rejected due to insufficient or missing data
- Three rejected for exercise intensities above acceptable limits
- Five rejected for insufficient dietary adaptation periods
- Two rejected for use of abnormal exercise temperatures
- Three excluded for using ice skating, rowing and manual labor rather than cycling or running
- Total of 218 subjects in all studies: 163 male, 55 female.
Age
Not mentioned
Ethnicity
Not mentioned.
Other relevant demographics
Four trials used untrained subjects, 40 untrained subjects.
Location
South Africa.
Summary of Results:
Other Findings
- Mean dietary modification period was 13.0±12.0 days (range, three to 49 days)
- High fat diet was 32%±20% carbohydrate, 48%±16% fat
- High carbohydrate diet was 70%±8% carbohydrate, 17%±7% fat
- Mean time to exhaustion for the high-carbohydrate groups was 68.6±55.2 min (range 7.85-168.8 minutes), compared to 56.8±43.0 minutes (range 4.1-153.1 minutes) for high-fat groups
- Mean time trial performance was 27.4±1.3km and 42.4±2.8km for those trials measuring distance and 70.1±50.1 minutes and 69.6±52.7 minutes for trials measuring time, respectively, for high-carbohydrate and high-fat diets
- Mean quality score across all studies was 3.9±0.7
- Eight did not demonstrate strict regulation and administration of diets
- Five were not stated as randomized, three had three-day dietary modification periods
- Six failed to provide a transition period longer than one day between diets
- Six utilized a sample size of five or fewer subjects
- In seven trials, subjects were not ensured to be in a physically rested state prior to performance tests.
- The average effect size of -0.60 indicated a moderate effect and favoring subjects following a high-carbohydrate diet exercised longer until exhaustion
- The training status of the subjects (trained or untrained) was significantly related to effect size (R=-0.576, P<0.01) and effect sizes separated between trained and untrained subjects were -0.05 and -2.84, respectively.
- The test for homogeneity revealed significant heterogeneity among effect sizes [chi-square (19)=43.30, P<0.05], indicating that much of the variance could be explained by one or more moderator variables and that all of the trials are not describing the same effect.
Author Conclusion:
- In conclusion, we found that endurance performance is enhanced following a high-carbohydrate diet, compared to a high-fat diet in untrained individuals, while the performance response in trained individuals appears to be blunted
- Training status was the only moderator variable significantly correlated to effect size reflecting the significance of aerobic fitness to dietary modification with regard to performance
- Past literature has used dissimilar design protocols making the need for consistent and high-quality future study the primary conclusion of this analysis
- As a result of this heterogeneity across trials, a decisive endorsement for a high-carbohydrate diet cannot be offered with confidence, especially among trained athletes.
Funding Source:
University/Hospital: | Kansas State University (Manhatten), Humbolt State University, California State University (Northridge) |
Reviewer Comments:
- Inclusion and exclusion criteria well-defined
- Analysis well done.
Quality Criteria Checklist: Review Articles
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Relevance Questions | |||
1. | Will the answer if true, have a direct bearing on the health of patients? | Yes | |
2. | Is the outcome or topic something that patients/clients/population groups would care about? | Yes | |
3. | Is the problem addressed in the review one that is relevant to dietetics practice? | Yes | |
4. | Will the information, if true, require a change in practice? | Yes | |
Validity Questions | |||
1. | Was the question for the review clearly focused and appropriate? | Yes | |
2. | Was the search strategy used to locate relevant studies comprehensive? Were the databases searched and the search termsused described? | Yes | |
3. | Were explicit methods used to select studies to include in the review? Were inclusion/exclusion criteria specified andappropriate? Wereselectionmethods unbiased? | Yes | |
4. | Was there an appraisal of the quality and validity of studies included in the review? Were appraisal methodsspecified,appropriate, andreproducible? | Yes | |
5. | Were specific treatments/interventions/exposures described? Were treatments similar enough to be combined? | Yes | |
6. | Was the outcome of interest clearly indicated? Were other potential harms and benefits considered? | Yes | |
7. | Were processes for data abstraction, synthesis, and analysis described? Were they applied consistently acrossstudies and groups? Was thereappropriate use of qualitative and/or quantitative synthesis? Was variation in findings among studies analyzed? Were heterogeneity issued considered? If data from studies were aggregated for meta-analysis, was the procedure described? | Yes | |
8. | Are the results clearly presented in narrative and/or quantitative terms? If summary statistics are used, are levels ofsignificance and/or confidence intervals included? | Yes | |
9. | Are conclusions supported by results with biases and limitations taken into consideration? Are limitations ofthe review identified anddiscussed? | Yes | |
10. | Was bias due to the review's funding or sponsorship unlikely? | Yes | |