| Literature DB >> 35252862 |
Kristin L Jonvik1, Michelle King2, Ian Rollo3, Trent Stellingwerff4,5, Yannis Pitsiladis6.
Abstract
Sports nutrition is a relatively new discipline; with ~100 published papers/year in the 1990s to ~3,500+ papers/year today. Historically, sports nutrition research was primarily initiated by university-based exercise physiologists who developed new methodologies that could be impacted by nutrition interventions (e.g., carbohydrate/fat oxidation by whole body calorimetry and muscle glycogen by muscle biopsies). Application of these methods in seminal studies helped develop current sports nutrition guidelines as compiled in several expert consensus statements. Despite this wealth of knowledge, a limitation of the current evidence is the lack of appropriate intervention studies (e.g., randomized controlled clinical trials) in elite athlete populations that are ecologically valid (e.g., in real-life training and competition settings). Over the last decade, there has been an explosion of sports science technologies, methodologies, and innovations. Some of these recent advances are field-based, thus, providing the opportunity to accelerate the application of ecologically valid personalized sports nutrition interventions. Conversely, the acceleration of novel technologies and commercial solutions, especially in the field of biotechnology and software/app development, has far outstripped the scientific communities' ability to validate the effectiveness and utility of the vast majority of these new commercial technologies. This mini-review will highlight historical and present innovations with particular focus on technological innovations in sports nutrition that are expected to advance the field into the future. Indeed, the development and sharing of more "big data," integrating field-based measurements, resulting in more ecologically valid evidence for efficacy and personalized prescriptions, are all future key opportunities to further advance the field of sports nutrition.Entities:
Keywords: athletes; diet; health; innovation; performance; technology; wearables; wellness
Year: 2022 PMID: 35252862 PMCID: PMC8891369 DOI: 10.3389/fspor.2022.852230
Source DB: PubMed Journal: Front Sports Act Living ISSN: 2624-9367
Figure 1Publications in Pubmed using the search term “Sports Nutrition” as of December, 2021.
Figure 2Timeline of key innovations in Sports Nutrition and their respective influence on the field. *Including: genomics, transcriptomics, metabolomics, proteomics, phenomics, and other related omics (e.g., epigenomics).
Examples of existing or potential “in field” non-invasive technologies or methodologies that may drive current or future nutrition studies, interventions, and/or recommendations.
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| Methodologies | Microfluidic technologies integrated into wearable patches | Instant feedback on sweat rate and sweat composition impaciting on hydration intake and fluid composition | Baker et al., |
| Dual-energy X-ray absorptiometry (DXA) | Reference standard to measure BMD | Nieves et al., | |
| Double labeled water (bolus of 2H218O water, and urinary collection) | Gold standard methodology for measuring free-living total daily energy expenditures, which can impact on projected energetic nutrition requirements | Speakman and Hambly, | |
| [15N]glycine (bolus of tracer and urinary collection) | Whole-body protein turnover (synthesis, breakdown, and net protein balance) can be calculated by measurement of the excretion rates of 15 N in urinary urea and ammonia | Duggleby and Waterlow, | |
| Urinary ketone assessment | Ability to better assess CHO availability and/or ketogenic adherence to adjust CHO intake as required | Goffinet et al., | |
| Urinary specific gravity assessment | It is an estimate of urine osmolality and hydration status | Surapongchai et al., | |
| Continuous glucose monitoring assessment | Determine the dynamics of blood glucose concentration | Thomas F. et al., | |
| Biomarkers | Tracking health, performance, and recovery in athletes | Lee et al., | |
| Isotopic techniques | The study of metabolic flux using stable isotope labeled substrates | Reisz and D'Alessandro, | |
| DNA and RNA sequencing of DNA and RNA | The process of determining the nucleic acid sequence to identify genes and gene expression (e.g., responders vs. non-responders) | Shendure et al., | |
| Food science | Glucose:Fructose sports drink formulations | Increase the amount of transportable and oxidizable CHO to increase endurance performance and decrease GI issues | Jeukendrup, |
| CHO hydrogel sports drink formulations | Increase the amount of gastric emptying resulting in increased amount of transportable and oxidizable CHO to increase endurance performance and decrease GI issues | Sutehall et al., | |
| Slow-release beta-alanine (containing cellulose type of excipient) | Decrease the amount of urinary losses of beta-alanine as well as decrease the paraesthesia side-effects of beta-alanine as a nutrition ergogenic aid | Décombaz et al., | |
| Sport science/equipment integration | Ergometer power meters | Ability to more accurately estimate exercise energy expenditure to better project energetic nutrition requirements | Haakonssen et al., |
| Basic integrated activity monitors (HR, GPS, and accelerometry) | Ability to more accurately estimate exercise energy expenditure and exercise intensity to better project energetic nutrition requirements | O'Driscoll et al., | |
| Advanced integrated activity monitors (HR, GPS, accelerometry, core, and skin temperature) | Ability to more accurately estimate in real-time exercise energy expenditure, exercise intensity and core body temperature to better project energetic nutrition, hydration and cooling requirements coupled to pacing decisions | Muniz-Pardos et al., |
Some identified technologies/methodologies continue to have construct validity challenges and require further research validation.
BMD, bone mineral density; CHO, carbohydrate; GI, gastro-intestinal; GPS, global positioning system; HR, heart-rate.