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Personalized Nutrition for Athletic Performance

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Sports Nutrition".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 3038

Special Issue Editor


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Guest Editor
Department of Kinesiology, University of Northern Georgia, Dahlonega, GA 30597, USA
Interests: nutritional ketosis; sports performance; sports nutrition; exercise physiology

Special Issue Information

Dear Colleagues,

As you know, the scientific literature on athletic performance and sports nutrition is ever-changing and dynamic in nature.  Some of the more exciting novel discoveries in this area are related to personalized nutrition and nutritional periodization models for the athletic population. While many national and international organizations have published nutritional guidelines and position stands for the athletic population, these are often prescribed with wide ranges of consumption goals to accommodate the interathlete variation we see in practicing professionals. As a result, ‘targeted’, ‘precision’ or ‘personalized’ nutrition investigations have become increasingly relevant to the field. While the growing scientific interest in applications of metabolomics, genomics, transcriptomics and gut microbiome has helped to identify novel targets for personalized dietary approaches we also value the inter/intraseasonal variations of macronutrient and micronutrient needs of athletes.  This Special Issue: Personalized Nutrition for Athletic Performance seeks to collect the latest original research, systematic reviews and narrative reviews discussing novel approaches to precision and/or periodized nutrition.

Dr. Parker Hyde
Guest Editor

Manuscript Submission Information

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Keywords

  • personalized nutrition
  • precision nutrition
  • periodized nutrition
  • athletic performance
  • nutritional optimization

Published Papers (2 papers)

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Research

13 pages, 1067 KiB  
Article
The Development of a Resting Metabolic Rate Prediction Equation for Professional Male Rugby Union Players
by Logan Posthumus, Matthew Driller, Paul Winwood and Nicholas Gill
Nutrients 2024, 16(2), 271; https://doi.org/10.3390/nu16020271 - 16 Jan 2024
Viewed by 976
Abstract
Determining resting metabolic rate (RMR) is an important aspect when calculating energy requirements for professional rugby union players. Prediction equations are often used for convenience to estimate RMR. However, the accuracy of current prediction equations for professional rugby union players remains unclear. The [...] Read more.
Determining resting metabolic rate (RMR) is an important aspect when calculating energy requirements for professional rugby union players. Prediction equations are often used for convenience to estimate RMR. However, the accuracy of current prediction equations for professional rugby union players remains unclear. The aims of this study were to examine the RMR of professional male rugby union players compared to nine commonly used prediction equations and develop and validate RMR prediction equations specific to professional male rugby union players. One hundred and eight players (body mass (BM) = 102.9 ± 13.3 kg; fat-free mass (FFM) = 84.8 ± 10.2 kg) undertook Dual-energy X-ray Absorptiometry scans to assess body composition and indirect calorimetry to determine RMR. Mean RMR values of 2585 ± 176 kcal∙day−1 were observed among the group with forwards (2706 ± 94 kcal·day−1), demonstrating significantly (p < 0.01; d = 1.93) higher RMR compared to backs (2465 ± 156 kcal·day−1), which appeared to be due to their higher BM and FFM measures. Compared to the measured RMR for the group, seven of the nine commonly used prediction equations significantly (p < 0.05) under-estimated RMR (−104–346 kcal·day−1), and one equation significantly (p < 0.01) over-estimated RMR (192 kcal·day−1). This led to the development of a new prediction equation using stepwise linear regression, which determined that the strongest predictor of RMR for this group was FFM alone (R2 = 0.70; SEE = 96.65), followed by BM alone (R2 = 0.65; SEE = 104.97). Measuring RMR within a group of professional male rugby union players is important, as current prediction equations may under- or over-estimate RMR. If direct measures of RMR cannot be obtained, we propose the newly developed prediction equations be used to estimate RMR within professional male rugby union players. Otherwise, developing team- and/or group-specific prediction equations is encouraged. Full article
(This article belongs to the Special Issue Personalized Nutrition for Athletic Performance)
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15 pages, 1307 KiB  
Article
Effects of a Singular Dose of Mangiferin–Quercetin Supplementation on Basketball Performance: A Double-Blind Crossover Study of High-Level Male Players
by Dimitrios I. Bourdas, Antonios K. Travlos, Athanasios Souglis, Georgia Stavropoulou, Emmanouil Zacharakis, Dimitrios C. Gofas and Panteleimon Bakirtzoglou
Nutrients 2024, 16(1), 170; https://doi.org/10.3390/nu16010170 - 4 Jan 2024
Cited by 1 | Viewed by 1771
Abstract
Pre-exercise mangiferin–quercetin may enhance athletic performance. This study investigated the effect of mangiferin–quercetin supplementation on high-level male basketball players during a basketball exercise simulation test (BEST) comprising 24 circuits of 30 s activities with various movement distances. The participants were divided into two [...] Read more.
Pre-exercise mangiferin–quercetin may enhance athletic performance. This study investigated the effect of mangiferin–quercetin supplementation on high-level male basketball players during a basketball exercise simulation test (BEST) comprising 24 circuits of 30 s activities with various movement distances. The participants were divided into two groups (EXP = 19 and CON = 19) and given a placebo one hour before the BEST (PRE-condition). The following week, the EXP group received mangiferin–quercetin (84 mg/140 mg), while the CON group received a placebo (POST-condition) before the BEST in a double-blind, cross-over design. The mean heart rate (HR) and circuit and sprint times (CT and ST) during the BEST were measured, along with the capillary blood lactate levels (La), the subjective rating of muscle soreness (RPMS), and the perceived exertion (RPE) during a resting state prior to and following the BEST. The results showed significant interactions for the mean CT (p = 0.013) and RPE (p = 0.004); a marginal interaction for La (p = 0.054); and non-significant interactions for the mean HR, mean ST, and RPMS. Moreover, the EXP group had significantly lower values in the POST condition for the mean CT (18.17 ± 2.08 s) and RPE (12.42 ± 1.02) compared to the PRE condition (20.33 ± 1.96 s and 13.47 ± 1.22, respectively) and the POST condition of the CON group (20.31 ± 2.10 s and 13.32 ± 1.16, respectively) (p < 0.05). These findings highlight the potential of pre-game mangiferin–quercetin supplementation to enhance intermittent high-intensity efforts in sports such as basketball. Full article
(This article belongs to the Special Issue Personalized Nutrition for Athletic Performance)
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