Abstract:There is good evidence that mouth rinsing with carbohydrate (CHO) solutions can enhance endurance performance (≥30 min). The impact of a CHO mouth rinse on sprint performance has been less consistent, suggesting that CHO may confer benefits in conditions of ‘metabolic strain’. To test this hypothesis, the current study examined the impact of late-exercise mouth rinsing on sprint performance. Secondly, we investigated the effects of a protein mouth rinse (PRO) on performance. Eight trained male cyclists partici… Show more
“…Thus, we associate it with carbohydrate depletion, which influences the individuals’ capacity to sustain free running. This result, extracted by our analysis, is related to other investigations such as the importance of R as a fitness indicator, even in untrained individuals ( Ramos-Jiménez et al, 2008 ), the metabolic role of R during exercise in trained athletes ( Goedecke et al, 2000 ), and carbohydrates’ role in helping athletes to improve performance ( Egan and D’Agostino, 2016 ; Luden et al, 2016 ). During tethered running, the eigenvalue metric reached its maximum for velocity in the Time Limit test.…”
Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic achievement. Standard statistics and cause-and-effect research, when applied in isolation, typically do not answer most scientific questions. The human body is a complex holistic system exchanging data during activities, as has been shown in the emerging field of network physiology. However, the literature lacks studies regarding sports performance, running, exercise, and more specifically, sprinter athletes analyzed mathematically through complex network modeling. Here, we propose complex models to jointly analyze distinct tests and variables from track sprinter athletes in an untargeted manner. Through complex propositions, we have incorporated mathematical and computational modeling to analyze anthropometric, biomechanics, and physiological interactions in running exercise conditions. Exercise testing associated with complex network and mathematical outputs make it possible to identify which responses may be critical during running. The physiological basis, aerobic, and biomechanics variables together may play a crucial role in performance. Coaches, trainers, and runners can focus on improving specific outputs that together help toward individuals’ goals. Moreover, our type of analysis can inspire the study and analysis of other complex sport scenarios.
“…Thus, we associate it with carbohydrate depletion, which influences the individuals’ capacity to sustain free running. This result, extracted by our analysis, is related to other investigations such as the importance of R as a fitness indicator, even in untrained individuals ( Ramos-Jiménez et al, 2008 ), the metabolic role of R during exercise in trained athletes ( Goedecke et al, 2000 ), and carbohydrates’ role in helping athletes to improve performance ( Egan and D’Agostino, 2016 ; Luden et al, 2016 ). During tethered running, the eigenvalue metric reached its maximum for velocity in the Time Limit test.…”
Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic achievement. Standard statistics and cause-and-effect research, when applied in isolation, typically do not answer most scientific questions. The human body is a complex holistic system exchanging data during activities, as has been shown in the emerging field of network physiology. However, the literature lacks studies regarding sports performance, running, exercise, and more specifically, sprinter athletes analyzed mathematically through complex network modeling. Here, we propose complex models to jointly analyze distinct tests and variables from track sprinter athletes in an untargeted manner. Through complex propositions, we have incorporated mathematical and computational modeling to analyze anthropometric, biomechanics, and physiological interactions in running exercise conditions. Exercise testing associated with complex network and mathematical outputs make it possible to identify which responses may be critical during running. The physiological basis, aerobic, and biomechanics variables together may play a crucial role in performance. Coaches, trainers, and runners can focus on improving specific outputs that together help toward individuals’ goals. Moreover, our type of analysis can inspire the study and analysis of other complex sport scenarios.
“…Finally, magnitude based inferences have also revealed that CHO MR leads to a likely decrease in RPE for the same power output compared to PL. This result is very interesting since results are mixed and most studies have failed to observe benefits from CHO MR [ 9 , 44 , 75 , 76 , 77 ] and CAF MR [ 18 , 78 ] on perception of effort. Only a few studies have reported that CAF and CHO MR could lead to a decrease in RPE [ 25 , 26 , 27 ] suggesting that CHO and CAF MR induce a decrease in subjective perception of effort, allowing participants to produce more power with the same degree of discomfort.…”
Section: Discussionmentioning
confidence: 89%
“…Effect sizes for GLM were calculated using partial eta square ( ɳ p 2 ). Secondly, to specifically test effects of nutritional supplements and RPE, we also reported probabilistic magnitude-based inferences about all the variables using methods described by Hopkins et al [ 43 ] which has been applied in several recent nutritional studies [ 21 , 44 , 45 ]. Data were log-transformed prior to analyses to reduce bias arising from non-uniformity of error.…”
The aim of this study was to investigate the influence of serial mouth rinsing (MR) with nutritional supplements on cognitive performance (i.e., cognitive control and time perception) during a 40-min submaximal exercise. Twenty-four participants completed 4 counterbalanced experimental sessions, during which they performed MR with either placebo (PL), carbohydrate (CHO: 1.6 g/25 mL), guarana complex (GUAc: 0.4 g/25 mL) or caffeine (CAF: 67 mg/25 mL) before and twice during exercise. The present study provided some important new insights regarding the specific changes in cognitive performance induced by nutritional supplements. The main results were: (1) CHO, CAF and GUA MR likely led participants to improve temporal performance; (2) CAF MR likely improved cognitive control; and (3) CHO MR led to a likely decrease in subjective perception of effort at the end of the exercise compared to PL, GUA and CAF. Moreover, results have shown that performing 40-min submaximal exercise enhances information processing in terms of both speed and accuracy, improves temporal performance and does not alter cognitive control. The present study opens up new perspectives regarding the use of MR to optimize cognitive performance during physical exercise.
“…mean and standard deviation or standard error). The following studies were excluded from the analysis; Beaven et al (3) because raw data was not available for the placebo condition (an attempt was made to contact the author), Rollo et al (39) because the performance outcome was self-selected running speed which is not in itself a performance measure per se that could be compared to the outcomes of other studies in the same sub-analysis, Rollo et al (40) because CMR was not compared to a placebo mouth rinse, Rollo et al (review) because it was a review article, and three studies were excluded because the mouth rinse efficacy could have been influenced by a prior exercise (1,30,36). An overview of the search strategy is outlined in Fig 1. The effectiveness of the mouth rinsing was quantified by determining the effect size for each variable, which can be categorised as small (0.2), moderate (0.5) or high (0.8).…”
The purpose of this study was to review the existing literature investigating carbohydrate mouth rinsing as an ergogenic aid using the effect sizes (ES) and percentage change in performance of the respective studies as outcome measures. A trivial-small average overall ES was present for the 25 studies included in the review (0.18, 95% confidence interval [CI] = 0.10-0.27). Effect sizes for the subgroups were ≥25 minutes (0.25, 95% CI = 0.14-0.36), ≤180 seconds (0.06, 95% CI = -0.03 to 0.15), resistance exercise (-0.09, 95% CI = -0.20 to 0.03) but the ES is still small. A subanalysis of ∼1-h cycling time trial performance resulted in an overall ES of 0.20 (95% CI = 0.02-0.38), and ES for performance time and power output of 0.31 (95% CI = -0.02 to 0.64) and 0.19 (95% CI = -0.09 to 0.46), respectively. Although ES were small, the average percentage change in performance in ∼1-hour trials was 2.48%, which may have implications for elite performers as this is greater than the 1.30% smallest worthwhile change recommended in the past research.
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