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A Systematic Review of CrossFit® Workouts and Dietary and Supplementation Interventions to Guide Nutritional Strategies and Future Research in CrossFit®
Abstract
CrossFit® is a high-intensity functional training method consisting of daily workouts called “workouts of the day.” No nutritional recommendations exist for CrossFit® that are supported by scientific evidence regarding the energetic demands of this type of activity or dietary and supplement interventions. This systematic review performed in accordance with PRISMA guidelines aimed to identify studies that determined (a) the physiological and metabolic demands of CrossFit® and (b) the effects of nutritional strategies on CrossFit® performance to guide nutritional recommendations for optimal recovery, adaptations, and performance for CrossFit® athletes and direct future research in this emerging area. Three databases were searched for studies that investigated physiological responses to CrossFit® and dietary or supplementation interventions on CrossFit® performance. Various physiological measures revealed the intense nature of all CrossFit® workouts of the day, reflected in substantial muscle fatigue and damage. Dietary and supplementation studies provided an unclear insight into effective strategies to improve performance and enhance adaptations and recovery due to methodological shortcomings across studies. This systematic review showed that CrossFit® is a high-intensity sport with fairly homogenous anaerobic and aerobic characteristics, resulting in substantial metabolic stress, leading to metabolite accumulation (e.g., lactate and hydrogen ions) and increased markers of muscle damage and muscle fatigue. Limited interventional data exist on dietary and supplementation strategies to optimize CrossFit® performance, and most are moderate to very low quality with some critical methodological limitations, precluding solid conclusions on their efficacy. High-quality work is needed to confirm the ideal dietary and supplemental strategies for optimal performance and recovery for CrossFit® athletes and is an exciting avenue for further research.
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“however, there is a lack of research on supplement in CrossFit Athletes (40, 41).”
From Micronutrient supplement intakes among collegiate and masters athletes: A cross-sectional study (2023) · cites this paper as [40]
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Cited by
Durkalec-Michalski, K., Nowaczyk, P. M., Kamińska, J., Saunders, B., Łoniewski, I., Czubaszek, D., Steffl, M., & Podgórski, T. (2023) · Scientific Reports · doi:10.1038/s41598-023-34343-0 · Cited by 10
Self-citationMicronutrient supplement intakes among collegiate and masters athletes: A cross-sectional study
Nichols, Q. Z., Ramadoss, R., Stanzione, J. R., & Volpe, S. L. (2023) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2023.854442 · Cited by 9
Metadata
- Authors
- de Souza, R. A. S., da Silva, A. G., de Souza, M. F., Souza, L. K. F., Roschel, H., da Silva, S. F., & Saunders, B.
- Affiliations
- University of Lavras
- University of São Paulo
- Venue
- International Journal of Sport Nutrition and Exercise Metabolism
- Publisher
- Human Kinetics
- Published
- 2021-03-01
- Volume
- 31
- Issue
- 2
- Pages
- 187-205
- ISSN
- 1526-484X
- 1543-2742
- Cited by
- 28
- References
- 21
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.