Xudong Li1
Wanxia Wang
Chaojun Wei- 1Department of Physical Education, Lanzhou University, Lanzhou, China
- 2The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, Lanzhou, China
Background: This study examines the effects of sports drinks ingestion during high-intensity exercise for carbohydrate oxidation rate (CHO-O) among athletes.
Methods: PubMed, Embase, and the Cochrane library were searched for available papers published up to November 2019. The primary outcome is the carbohydrate oxidation rate (CHO-O), and the secondary outcome is the fat oxidation rate (Fat-O). Statistical heterogeneity among the included studies was evaluated using Cochran's Q test and the I2 index. The random-effects model was used for all analyses, regardless of the I2 index.
Results: Five studies are included, with a total of 58 participants (range, 8–14/study). All five studies are randomized crossover trials. Compared to the control beverages, sports drinks have no impact on the CHO-O of athletes [weighted mean difference (WMD) = 0.29; 95% CI, −0.06 to 0.65, P = 0.106; I2 = 97.4%, P < 0.001] and on the Fat-O of athletes (WMD = −0.074; 95% CI, −0.19 to 0.06, P = 0.297; I2 = 97.5%, P < 0.001). Carbohydrate–electrolyte solutions increase CHO-O (WMD = 0.47; 95% CI, 0.08–0.87, P = 0.020; I2 = 97.8%, P < 0.001) but not Fat-O (WMD = −0.14; 95% CI, −0.31 to 0.03, P = 0.103; I2 = 98.2%, P < 0.001). Caffeine has a borderline effect on Fat-O (WMD = 0.05; 95% CI, 0.00–0.10, P = 0.050).
Conclusions: Compared with the control beverages, sports drinks show no significant improvement in CHO-O and Fat-O in athletes. Carbohydrate–electrolyte solutions increase CHO-O in athletes but not Fat-O.
Introduction
Energy drinks, also denominated as sports drinks, generally refer to a class of beverages containing sugar and various combinations of ingredients purported to “energize” the body and mind. Such drinks have become widespread in recreational and elite athletes due to their proposed ergogenic effects. A variety of energy drinks are designed to have optimal levels of carbohydrate (CHO) for glycogen replenishment and electrolytes for ion maintenance and prevention of dehydration. They are currently available on the market and are publicized to increase the energy level of the individuals consuming them (Rahnama et al., 2010). Because sports drinks are well recognized for their effect of delaying fatigue during prolonged exercise, various studies have been performed to investigate their performance-enhancing mechanisms (Ishak et al., 2012; Salinero et al., 2014; Shearer and Graham, 2014; Alsunni, 2015).
A previous study has demonstrated that the rate of carbohydrate absorption could exceed 1.2 g/min during exercise when only glucose is fed (Jeukendrup, 2017). Moreover, by ingesting mixtures of glucose and fructose, exogenous carbohydrate oxidation (CHO-O) rates have been demonstrated to increase 1.2–1.7-fold during prolonged exercise (Jentjens and Jeukendrup, 2005). Those studies indicate the efficacy of carbohydrate ingestion for enhancing performance during exercise. Other studies have also investigated the effect of sports drinks on performance during exercise (Byars et al., 2010; Rahnama et al., 2010; Hornsby, 2011; Brink-Elfegoun et al., 2014; Orru et al., 2018). Elite athletes represent a special population in whom the basal metabolism and energy utilization during exercise are different from that of the general population (Sjodin et al., 1996; Koshimizu et al., 2012; Trexler et al., 2014). In addition, the available studies about sports drinks in athletes report conflicting results.
With the recent public interest in the accuracy of the claims of commercially available sports drinks about their benefits for substrate oxidation among athletes, the present meta-analysis is designed to examine the effects of sports drinks ingestion on CHO-O rate among athletes.
Methods
Literature Search
This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant articles were searched using the PICO principle, followed by screening on the basis of the inclusion and exclusion criteria: (1) population—elite athletes with high-endurance prolonged exercise; (2) interventions—sports drink; (3) control—placebo or no control group; (4) study type—cohort study, randomized control trial, case–control study, and crossover study; and (5) language was limited to English. PubMed, Embase, and the Cochrane library were searched for available papers published up to November 2019 using the MeSH keywords “Energy drinks,” “Athletes,” as well as relevant keywords.
Data Extraction
Study characteristics (authors, year of publication, the country where the study performed, study design, disease type, and sample size), treatment parameters (beverage type and volume of ingestion), the primary outcome (CHO-O), and secondary outcome [fat oxidation rate (Fat-O)] were extracted from the included studies. The selection and inclusion of studies were performed in two stages by two independent reviewers (Anqi Wang and Wanxia Wang). This included the analysis of titles/abstracts, followed by the full texts. Disagreements were resolved by a third reviewer (Rui Guo).
Quality of the Evidence
The level of evidence of all articles was assessed independently by two authors (Xudong Li and Chaojun Wei), using the Cochrane tool for assessing the risk of bias, as specified in the Cochrane Handbook (Higgins et al., 2019).
Data Synthesis
Three out of five included studies poorly reported their statistical parameters, and thus, we decided to estimate the means from the provided figures and standard deviations for means of outcome value by using the coefficient of variance (CV) (Jacobs and Viechtbauer, 2017). After excluding studies with imputed standard deviations for all different outcome parameters, the estimates were reasonably robust for standard deviation imputation.
Statistical Analysis
All analyses were performed using the STATA SE 14.0 software (StataCorp, College Station, TX, USA). Weighted mean difference (WMD) and corresponding 95% confidence intervals (CIs) were used to compare the outcomes. Statistical heterogeneity among the included studies was evaluated using Cochran's Q test and the I2 index. I2 > 50% and P < 0.10 in the Q test indicated high heterogeneity. The random-effects model was used for all analyses, regardless of the I2 index. P < 0.05 are considered statistically significant. We planned to assess potential publication bias by funnel plots and Egger's test but actually did not do so because the number of studies included in every meta-analysis is fewer than 10, in which case, the funnel plots and Egger's test could yield misleading results and are not recommended (Higgins and Green, 2011).
Results
Study Selection
Figure 1 presents the study selection process. A total of 234 records were retrieved from PubMed, Embase, and the Cochrane Library, and 154 records were left after removing the duplicates. Two records were excluded because they were note/report, six because they were conference abstracts, and five because they were reviews. Then, 141 full-text papers were assessed, and 136 were excluded because of the publication type (n = 3), study aim or design (n = 11), study population (n = 7), exposures (n = 58), and outcomes (n = 57). Therefore, five studies (Clarke et al., 2005; Hodgson et al., 2013b; Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019) are included in the present meta-analysis. Some studies fell short in terms of quality, owing to small numbers of participants, unclear reporting of study methods, and reporting of data in a format that was not easy to combine with other data.
Figure 1. Literature search process.
Characteristics of the Included Studies
Table 1 presents the characteristics of the five studies (Clarke et al., 2005; Hodgson et al., 2013b; Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019). There were a total of 58 participants (range, 8–14/study). All five studies are randomized crossover trials. Three studies used a carbohydrate–electrolyte solution (500, 270, and 220 ml), one used caffeine (600 ml), and one used beetroot juice (70 ml). The participants' mean age ranges from 25 ± 3 to 41 ± 7 years. All five studies report the CHO-O and Fat-O. All five trials are from Europe. Supplementary Table 1 presents the Cochrane criteria for the evaluation of randomized controlled trials. All included studies (Clarke et al., 2005; Hodgson et al., 2013b; Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019) have a high risk of selection bias regarding the randomization, two studies (Clarke et al., 2005; Pettersson et al., 2019) have a high risk of selection bias regarding allocation concealment, and one study (Hodgson et al., 2013b) has a high risk of performance bias regarding the blinding of the participants and personnel.
Table 1. Characteristics of the included studies.
Sports Drinks Have No Significant Effect on CHO-O
All five studies (Clarke et al., 2005; Hodgson et al., 2013b; Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019) report the effect of the sports drink on CHO-O. The meta-analysis shows that sports drinks have no impact on the CHO-O of athletes (WMD = 0.29; 95% CI, −0.06 to 0.65, P = 0.106). Heterogeneity is observed (I2 = 97.4%, P < 0.001) (Figure 2A).
Figure 2. (A) Forest plot of CHO oxidation; (B) forest plot of fat oxidation; (C) forest plot of subgroup carbohydrate oxidation; (D) forest plot of subgroup fat oxidation; (E) forest plot of sports drink amount on CHO oxidation; (F) forest plot of sports drink amount on fat oxidation.
Sports Drinks Have No Significant Effect on Fat-O
All five studies (Clarke et al., 2005; Hodgson et al., 2013b; Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019) report the effect of the sports drink on Fat-O. The analysis of the combined trials shows that sports drinks have no impact on the Fat-O of athletes (WMD = −0.074; 95% CI, −0.19 to 0.06, P = 0.297). Heterogeneity is observed (I2 = 97.5%, P < 0.001) (Figure 2B).
Carbohydrate–Electrolyte Solutions Have a Significant Effect on CHO-O
In the three studies (Clarke et al., 2005; Roberts et al., 2014; Pettersson et al., 2019) on carbohydrate–electrolyte solutions, the sports drinks increase CHO-O (WMD = 0.47; 95% CI, 0.08–0.87, P = 0.020). Heterogeneity is observed (I2 = 97.8%, P < 0.001). Caffeine (Hodgson et al., 2013b) (WMD = −0.02; 95% CI, −0.14 to 0.10, P = 0.752) and beetroot juice (Garnacho-Castano et al., 2018) (WMD = −0.26; 95% CI, −1.20 to 0.68, P = 0.106) have no impact on CHO-O (Figure 2C and Supplementary Table 2), but a meta-analysis could not be performed because only one trial reported about each sports drink.
Carbohydrate–Electrolyte Solutions Have No Significant Effect on Fat-O
Carbohydrate–electrolyte solutions (Clarke et al., 2005; Roberts et al., 2014; Pettersson et al., 2019) (WMD = −0.14; 95% CI, −0.31 to 0.03, P = 0.103; I2 = 98.2%, P < 0.001) and beetroot juice (Garnacho-Castano et al., 2018) (WMD = 0.05; 95% CI, −0.01 to 0.11, P = 0.121) have no significant impact on Fat-O, while caffeine (Hodgson et al., 2013b) has a borderline effect on Fat-O (WMD = 0.05; 95% CI, 0.00–0.10, P = 0.050) (Figure 2D and Supplementary Table 2), but a meta-analysis could not be performed for caffeine and beetroot juice because only one trial reported about each sports drink.
Small Intake of Sports Drinks Has a Significant Effect on CHO-O
An intake of >300 ml of sports drink (Clarke et al., 2005; Hodgson et al., 2013b) had no impact on CHO-O (WMD = 0.11; 95% CI, −0.14 to 0.37, P = 0.378; I2 = 91.7%, P = 0.001), but a smaller intake (<300 ml) (Roberts et al., 2014; Garnacho-Castano et al., 2018; Pettersson et al., 2019) did have an impact on CHO-O (WMD = 0.50; 95% CI, 0.12–0.87, P = 0.009; I2 = 82.6%, P = 0.003) (Figure 2E and Supplementary Table 2). A larger intake (WMD = 0.02; 95% CI, −0.04 to 0.17, P = 0.584; I2 = 76.2%, P = 0.041) or a smaller intake (WMD = −0.12; 95% CI, −0.30 to 0.06, P = 0.175; I2 = 97.1%, P < 0.001) had no impact Fat-O (Figure 2F and Supplementary Table 2).
Subgroup Analyses
Supplementary Table 2 shows that the sports drinks have benefits on CHO-O in soccer (WMD = 0.24; 95% CI, 0.16–0.32, P < 0.001) and skiing (WMD = 0.41; 95% CI, 0.17–0.65, P = 0.001) but not in cycling (WMD = 0.23; 95% CI, −0.44 to 0.90, P = 0.501). Regarding Fat-O, sports drinks have an important benefit in skiing (WMD = −0.16; 95% CI, −0.19 to 0.06, P < 0.001) but not in soccer (WMD = −0.01; 95% CI, −0.04 to 0.02, P = 0.488) or cycling (WMD = −0.05; 95% CI, −0.27 to 0.17, P = 0.637).
Sensitivity Analyses
Figure 3 presents the sensitivity analyses for CHO-O and Fat-O, respectively. When omitting each study sequentially, the observed effects on CHO-O and Fat-O remained consistent.
Figure 3. (A) Sensitivity analysis for CHO-O; (B) Sensitivity analysis for Fat-O.
Discussion
There is a public interest in the accuracy of the claims of commercially available sports drinks about their benefits for substrate oxidation among athletes. Therefore, the aim of this meta-analysis is to examine the effects of sports drinks ingestion during high-intensity exercise for the CHO-O among athletes. The results indicate that, compared with a placebo, sports drinks show no significant improvements on CHO-O and Fat-O in athletes. Carbohydrate–electrolyte solutions increase CHO-O in athletes but not Fat-O.
It was suggested that carbohydrate–electrolyte drinks might improve athletic performances over consecutive running sessions in men (Davison et al., 2008) and hydration after exercise-induced dehydration during running in men (Wong and Chen, 2011). On the other hand, carbohydrate–protein drinks were suggested to improve time to exhaustion during cycling in men (Saunders et al., 2004, 2007), to attenuate creatine kinase increase during cycling in men (Skillen et al., 2008), and to increase glycogen stores after cycling in men (Ivy et al., 2002; Berardi et al., 2006). A previous meta-analysis showed that the consumption of chocolate milk (which contains carbohydrates, proteins, and electrolytes) by trained athletes has no impact on the time to exhaustion, perceived exhaustion, heart rate, and serum levels of lactate and creatinine kinase (Amiri et al., 2019). On the other hand, two energy drinks containing carbohydrates and caffeine lead to superior VO2max and time to exhaustion compared with placebo, without effect on heart rate and blood lactate during running in men (Rahnama et al., 2010). Brink-Elfegoun et al. (2014) showed that male tennis players consuming carbohydrate–electrolyte sports drinks have no decline in physical performance over consecutive matches. Byars et al. (2010) examined the effects of a modified pre-exercise sports drink in men and women performing aerobic fitness and showed that the drink improves VO2max, time to exhaustion, and the estimated proportion of nonprotein fat substrate utilization, compared with placebo. The aim of this meta-analysis is to examine the effects of sports drink ingestion during high-intensity exercise on CHO-O and Fat-O, two indicators of energy consumption among athletes. The results indicate that, compared with a placebo, sports drink showed no significant improvement on CHO-O and Fat-O in athletes. The other studies described above, even though they did report performance benefits, do not report those two quantitative outcomes and are not included in the present meta-analysis. Therefore, the present meta-analysis cannot conclude that the energy drinks have no effect on sports performance but that they have no effect on metabolic indexes of energy production. Nevertheless, the present meta-analysis and the above studies seem to conflict in terms of conclusions because of the different outcome measures, i.e., quantitative vs. semiquantitative or qualitative. The sports drinks included in the meta-analysis could still have effects on other sports outcomes such as exhaustion perception, hydration, and recuperation, but those outcomes are not examined in the present meta-analysis. A meta-analysis revealed that carbohydrate drinks improve sports endurance (Vandenbogaerde and Hopkins, 2011), but it does not examine CHO-O. Future studies about sports drinks should be carefully designed by including quantitative metabolic indexes that could explain the semiquantitative/qualitative indexes of sports performance.
When considering each of the five studies included in this meta-analysis, three studies (Clarke et al., 2005; Roberts et al., 2014; Pettersson et al., 2019) actually show higher CHO-O with the sports drinks (in male soccer players, male cyclists, and male cross-country skiers, respectively), while two studies (Hodgson et al., 2013b; Garnacho-Castano et al., 2018) (in male cyclists/triathletes and male triathletes, respectively) show no effect. Nevertheless, the sensitivity analysis shows that the sequential exclusion of any one of those study significantly did not change the result of this meta-analysis. Similarly, two studies (Roberts et al., 2014; Pettersson et al., 2019) show a decrease in Fat-O with sports drink, one study (Hodgson et al., 2013b) report an increase, while two studies (Clarke et al., 2005; Garnacho-Castano et al., 2018) show no effect. Again, the exclusion of any one study does not change the conclusion.
The present study includes three types of energy drinks: carbohydrate–electrolyte, caffeine, and beetroot juice (mainly carbohydrates). The analyses of all three types together show that energy drinks have no impact on CHO-O and Fat-O, but the subgroup analyses show that carbohydrate–electrolyte drinks have a positive impact on CHO-O, while the caffeine drink decreases Fat-O. This is in agreement with the view that carbohydrate–electrolyte drinks improve repeated exercise performance in men after running (Davison et al., 2008; Kalman et al., 2012) and workout (Orru et al., 2018). A study also reported high CHO-O with the use of carbohydrate–electrolyte gels in male cyclists (Willems et al., 2011). The higher rate of CHO-O observed with carbohydrate–electrolyte consumption might be due to readily available source of energy that allows the preservation of glycogen stores, decreases fatigue perception, and prevents acute hypoglycemia (Coggan and Coyle, 1987; Bosch et al., 1994; Jeukendrup, 2004; Willems et al., 2011; King et al., 2018), with positive effects on time trials (Currell and Jeukendrup, 2008; Triplett et al., 2010) and power output (Currell and Jeukendrup, 2008; Rowlands et al., 2012). In addition, the use of transportable carbohydrates also increases the transport of water from the intestine, improving hydration (Jentjens et al., 2006; Jeukendrup et al., 2009; Jeukendrup, 2010; Jeukendrup and Moseley, 2010). Regarding caffeine, green tea extract can increase Fat-O (Hodgson et al., 2013a). Caffeine increases Fat-O in hepatocytes (Sinha et al., 2014), and caffeine increases exercise tolerance (Kumar et al., 2019). Therefore, future studies should examine individual types of energy drinks because of their different metabolic effects.
The results of this meta-analysis must be considered together with its limitations. First, the outcomes of interest might be biased by the studies we included since they were conducted at various institutions in different countries. The baseline characteristics of athletes from different studies and experimental trials in each study are different, as well. Second, the outcome parameters are estimated from the provided figures if the parameters are not reported in the original documents, probably introducing biases. Third, the amounts of beverage ingested are different in different studies. Fourth, all included studies are crossover studies. Even though the effect between two consecutive ingestion of sports drinks might be nonsignificant, there is a risk of carry-out bias. Finally, due to the population in each study being elite athletes, and the experimental trial included high-endurance exercise, the applicability of the results should be limited to such a population. In addition, the total number of participants in each study is small. Only 58 participants are included in our meta-analysis.
Conclusion
In conclusion, compared with placebo, sports drinks show no significant improvement on CHO-O and Fat-O in athletes. Carbohydrate–electrolyte solutions increase CHO-O in athletes but not Fat-O. Randomized controlled trials with large sample sizes should be conducted to investigate the effectiveness of sports drinks for athletes during exercise.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
Author Contributions
XL and CW carried out the studies, participated in collecting data, and drafted the manuscript. AW, WW, and RG participated in the acquisition, analysis, or interpretation of data and drafted the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the National Key Research and Development Project (Grant No. 2018YFC2000301: A Study on the Characteristics and Regularity of Health Status Changes in Chinese Population).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors acknowledge the support of the National Key Research and Development Project.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2020.574172/full#supplementary-material
References
Alsunni, A. A. (2015). Energy drink consumption: beneficial and adverse health effects. Int. J. Health Sci. 9, 468–474. doi: 10.12816/0031237
Amiri, M., Ghiasvand, R., Kaviani, M., Forbes, S. C., and Salehi-Abargouei, A. (2019). Chocolate milk for recovery from exercise: a systematic review and meta-analysis of controlled clinical trials. Eur. J. Clin. Nutr. 73, 835–849. doi: 10.1038/s41430-018-0187-x
Berardi, J. M., Price, T. B., Noreen, E. E., and Lemon, P. W. (2006). Postexercise muscle glycogen recovery enhanced with a carbohydrate-protein supplement. Med. Sci. Sports Exerc. 38, 1106–1113. doi: 10.1249/01.mss.0000222826.49358.f3
Bosch, A. N., Dennis, S. C., and Noakes, T. D. (1994). Influence of carbohydrate ingestion on fuel substrate turnover and oxidation during prolonged exercise. J. Appl. Physiol. 76, 2364–2372. doi: 10.1152/jappl.1994.76.6.2364
Brink-Elfegoun, T., Ratel, S., Lepretre, P. M., Metz, L., Ennequin, G., Dore, E., et al. (2014). Effects of sports drinks on the maintenance of physical performance during 3 tennis matches: a randomized controlled study. J. Int. Soc. Sports Nutr. 11:46. doi: 10.1186/s12970-014-0046-7
Byars, A., Keith, S., Simpson, W., Mooneyhan, A., and Greenwood, M. (2010). The influence of a pre-exercise sports drink (PRX) on factors related to maximal aerobic performance. J. Int. Soc. Sports Nutr. 7:12. doi: 10.1186/1550-2783-7-12
Clarke, N. D., Drust, B., MacLaren, D. P., and Reilly, T. (2005). Strategies for hydration and energy provision during soccer-specific exercise. Int. J. Sport Nutr. Exerc. Metab. 15, 625–640. doi: 10.1123/ijsnem.15.6.625
Coggan, A. R., and Coyle, E.F. (1987). Reversal of fatigue during prolonged exercise by carbohydrate infusion or ingestion. J. Appl. Physiol. 63, 2388–2395. doi: 10.1152/jappl.1987.63.6.2388
Currell, K., and Jeukendrup, A. E. (2008). Superior endurance performance with ingestion of multiple transportable carbohydrates. Med. Sci. Sports Exerc. 40, 275–281. doi: 10.1249/mss.0b013e31815adf19
Davison, G. W., McClean, C., Brown, J., Madigan, S., Gamble, D., Trinick, T., et al. (2008). The effects of ingesting a carbohydrate-electrolyte beverage 15 minutes prior to high-intensity exercise performance. Res. Sports Med. 16, 155–166. doi: 10.1080/15438620802103155
Garnacho-Castano, M. V., Palau-Salva, G., Cuenca, E., Munoz-Gonzalez, A., Garcia-Fernandez, P., Del Carmen Lozano-Estevan, M., et al. (2018). Effects of a single dose of beetroot juice on cycling time trial performance at ventilatory thresholds intensity in male triathletes. J. Int. Soc. Sports Nutr. 15:49. doi: 10.1186/s12970-018-0255-6
Higgins, J. P., and Green, S. (2011). “Recommendations on testing for funnel plot asymmetry,” in Cochrane Handbook for Systematic Review of Interventions. [Version 5.1.0], eds. J. P. Higgins and S. Green (London: Cochrane Collaboration).
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., et al. (2019). Cochrane Handbook for Systematic Reviews of Interventions Version 6.0 (Updated July 2019). London: Cochrane Collaboration.
Hodgson, A. B., Randell, R. K., and Jeukendrup, A. E. (2013a). The effect of green tea extract on fat oxidation at rest and during exercise: evidence of efficacy and proposed mechanisms. Adv. Nutr. 4, 129–140. doi: 10.3945/an.112.003269
Hodgson, A. B., Randell, R. K., and Jeukendrup, A. E. (2013b). The metabolic and performance effects of caffeine compared to coffee during endurance exercise. PLoS ONE 8:e59561. doi: 10.1371/journal.pone.0059561
Hornsby, J. (2011). The effects of carbohydrate-electrolyte sports drinks on performance and physiological function during an 8km cycle time trial. Plymouth Stud. Sci. 4, 30–49.
Ishak, W. W., Ugochukwu, C., Bagot, K., Khalili, D., and Zaky, C. (2012). Energy drinks: psychological effects and impact on well-being and quality of life-a literature review. Innov. Clin. Neurosci. 9, 25–34.
Ivy, J. L., Goforth, H. W. Jr., Damon, B. M., McCauley, T. R., Parsons, E. C., and Price, T. B. (2002). Early postexercise muscle glycogen recovery is enhanced with a carbohydrate-protein supplement. J Appl Physiol. 93, 1337–1344. doi: 10.1152/japplphysiol.00394.2002
Jacobs, P., and Viechtbauer, W. (2017). Estimation of the biserial correlation and its sampling variance for use in meta-analysis. Res. Synth. Methods 8, 161–180. doi: 10.1002/jrsm.1218
Jentjens, R. L., and Jeukendrup, A. E. (2005). High rates of exogenous carbohydrate oxidation from a mixture of glucose and fructose ingested during prolonged cycling exercise. Br. J. Nutr. 93, 485–492. doi: 10.1079/BJN20041368
Jentjens, R. L., Underwood, K., Achten, J., Currell, K., Mann, C. H., and Jeukendrup, A. E. (2006). Exogenous carbohydrate oxidation rates are elevated after combined ingestion of glucose and fructose during exercise in the heat. J. Appl. Physiol. 100, 807–816. doi: 10.1152/japplphysiol.00322.2005
Jeukendrup, A. E. (2004). Carbohydrate intake during exercise and performance. Nutrition 20, 669–677. doi: 10.1016/j.nut.2004.04.017
Jeukendrup, A. E. (2010). Carbohydrate and exercise performance: the role of multiple transportable carbohydrates. Curr. Opin. Clin. Nutr. Metab. Care 13, 452–457. doi: 10.1097/MCO.0b013e328339de9f
Jeukendrup, A. E. (2017). Training the gut for athletes. Sports Med. 47 (Suppl. 1), 101–110. doi: 10.1007/s40279-017-0690-6
Jeukendrup, A. E., Currell, K., Clarke, J., Cole, J., and Blannin, A. K. (2009). Effect of beverage glucose and sodium content on fluid delivery. Nutr. Metab. 6:9. doi: 10.1186/1743-7075-6-9
Jeukendrup, A. E., and Moseley, L. (2010). Multiple transportable carbohydrates enhance gastric emptying and fluid delivery. Scand. J. Med. Sci. Sports 20, 112–121. doi: 10.1111/j.1600-0838.2008.00862.x
Kalman, D. S., Feldman, S., Krieger, D. R., and Bloomer, R. J. (2012). Comparison of coconut water and a carbohydrate-electrolyte sport drink on measures of hydration and physical performance in exercise-trained men. J. Int. Soc. Sports Nutr. 9:1. doi: 10.1186/1550-2783-9-1
King, A. J., O'Hara, J. P., Morrison, D. J., Preston, T., and King, R. (2018). Carbohydrate dose influences liver and muscle glycogen oxidation and performance during prolonged exercise. Physiol. Rep. 6:e13555. doi: 10.14814/phy2.13555
Koshimizu, T., Matsushima, Y., Yokota, Y., Yanagisawa, K., Nagai, S., Okamura, K., et al. (2012). Basal metabolic rate and body composition of elite Japanese male athletes. J. Med. Invest. 59, 253–260. doi: 10.2152/jmi.59.253
Kumar, N., Warren, G. L., Snow, T. K., and Millard-Stafford, M. (2019). Caffeine ingestion with or without low-dose carbohydrate improves exercise tolerance in sedentary adults. Front. Nutr. 6:9. doi: 10.3389/fnut.2019.00009
Orru, S., Imperlini, E., Nigro, E., Alfieri, A., Cevenini, A., Polito, R., et al. (2018). Role of functional beverages on sport performance and recovery. Nutrients 10:1470. doi: 10.3390/nu10101470
Pettersson, S., Edin, F., Bakkman, L., and McGawley, K. (2019). Effects of supplementing with an 18% carbohydrate-hydrogel drink versus a placebo during whole-body exercise in−5 degrees C with elite cross-country ski athletes: a crossover study. J. Int. Soc. Sports Nutr. 16:46. doi: 10.1186/s12970-019-0317-4
Rahnama, N., Gaeini, A. A., and Kazemi, F. (2010). The effectiveness of two energy drinks on selected indices of maximal cardiorespiratory fitness and blood lactate levels in male athletes. J. Res. Med. Sci. 15, 127–132.
Roberts, J. D., Tarpey, M. D., Kass, L. S., Tarpey, R. J., and Roberts, M. G. (2014). Assessing a commercially available sports drink on exogenous carbohydrate oxidation, fluid delivery and sustained exercise performance. J. Int. Soc. Sports Nutr. 11:8. doi: 10.1186/1550-2783-11-8
Rowlands, D. S., Swift, M., Ros, M., and Green, J. G. (2012). Composite versus single transportable carbohydrate solution enhances race and laboratory cycling performance. Appl. Physiol. Nutr. Metab. 37, 425–436. doi: 10.1139/h2012-013
Salinero, J. J., Lara, B., Abian-Vicen, J., Gonzalez-Millan, C., Areces, F., Gallo-Salazar, C., et al. (2014). The use of energy drinks in sport: perceived ergogenicity and side effects in male and female athletes. Br. J. Nutr. 112, 1494–1502. doi: 10.1017/S0007114514002189
Saunders, M. J., Kane, M. D., and Todd, M. K. (2004). Effects of a carbohydrate-protein beverage on cycling endurance and muscle damage. Med. Sci. Sports Exerc. 36, 1233–1238. doi: 10.1249/01.MSS.0000132377.66177.9F
Saunders, M. J., Luden, N. D., and Herrick, J. E. (2007). Consumption of an oral carbohydrate-protein gel improves cycling endurance and prevents postexercise muscle damage. J. Strength Cond. Res. 21, 678–684. doi: 10.1519/00124278-200708000-00005
Shearer, J., and Graham, T. E. (2014). Performance effects and metabolic consequences of caffeine and caffeinated energy drink consumption on glucose disposal. Nutr. Rev. 72 (Suppl. 1), 121–136. doi: 10.1111/nure.12124
Sinha, R. A., Farah, B. L., Singh, B. K., Siddique, M. M., Li, Y., Wu, Y., et al. (2014). Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice. Hepatology 59, 1366–1380. doi: 10.1002/hep.26667
Sjodin, A. M., Forslund, A. H., Westerterp, K. R., Andersson, A. B., Forslund, J. M., and Hambraeus, L.M. (1996). The influence of physical activity on BMR. Med. Sci. Sports Exerc. 28, 85–91. doi: 10.1097/00005768-199601000-00018
Skillen, R. A., Testa, M., Applegate, E. A., Heiden, E. A., Fascetti, A. J., and Casazza, G. A. (2008). Effects of an amino acid carbohydrate drink on exercise performance after consecutive-day exercise bouts. Int. J. Sport. Nutr. Exerc. Metab. 18, 473–492. doi: 10.1123/ijsnem.18.5.473
Trexler, E. T., Smith-Ryan, A. E., and Norton, L. E. (2014). Metabolic adaptation to weight loss: implications for the athlete. J. Int. Soc. Sports. Nutr. 11:7. doi: 10.1186/1550-2783-11-7
Triplett, D., Doyle, J. A., Rupp, J. C., and Benardot, D. (2010). An isocaloric glucose-fructose beverage's effect on simulated 100-km cycling performance compared with a glucose-only beverage. Int. J. Sport Nutr. Exerc. Metab. 20, 122–131. doi: 10.1123/ijsnem.20.2.122
Vandenbogaerde, T. J., and Hopkins, W. G. (2011). Effects of acute carbohydrate supplementation on endurance performance: a meta-analysis. Sports Med. 41, 773–792. doi: 10.2165/11590520-000000000-00000
Willems, M. E. T., Toy, C. D. J., and Cox, A. M. (2011). “Effects of pre-exercise ingestion of a carbohydrate-electrolyte gel on cycling performance (P28),” in: Proceedings of the Eighth International Society of Sports Nutrition (ISSN) Conference and Expo.
Keywords: dietary carbohydrates, lipids, oxidation, energy drinks, athletes, meta-analysis
Citation: Li X, Wang W, Guo R, Wang A and Wei C (2020) The Effects of Sports Drinks During High-Intensity Exercise on the Carbohydrate Oxidation Rate Among Athletes: A Systematic Review and Meta-Analysis. Front. Physiol. 11:574172. doi: 10.3389/fphys.2020.574172
Received: 19 June 2020; Accepted: 14 October 2020;
Published: 11 December 2020.
Edited by:
Beat Knechtle, University Hospital Zurich, SwitzerlandReviewed by:
Rania A. Mekary, MCPHS University, United StatesVladimir Lj Jakovljevic, University of Kragujevac, Serbia
Copyright © 2020 Li, Wang, Guo, Wang and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chaojun Wei, d2VpY2hhb2p1bi1HU1BIJiN4MDAwNDA7aG90bWFpbC5jb20=