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In the present study, we tested the hypothesis that caffeine would increase endurance performance via attenuation of neural and muscular determinants of performance fatigability during high-intensity, whole-body exercise.Ten healthy males cycled until exhaustion (89% ± 2% of V̇O2max) after the ingestion of caffeine or placebo. During another four visits, the same exercise was performed after either caffeine or placebo ingestion but with exercise discontinued after completing either 50% or 75% of the duration of placebo trial. An additional trial with caffeine ingestion was also performed with interruption at the placebo time to exhaustion (isotime). Performance fatigability was measured via changes in maximal voluntary contraction, whereas neural and muscular determinants of performance fatigability were quantified via preexercise to postexercise decrease in quadriceps voluntary activation (VA) and potentiated twitch force, respectively.Compared with the placebo, caffeine increased time to exhaustion (+14.4 ± 1.6%, P = 0.017, 314.4 ± 47.9 vs 354.9 ± 40.8 s). Caffeine did not change the rate of decline in maximal voluntary contraction (P = 0.209), but caffeine reduced the twitch force decline at isotime when stimulating at single twitch (-58.6 ± 22.4 vs -45.7 ± 21.9%, P = 0.014) and paired 10 Hz electrical stimuli (-37.3 ± 13.2 vs -28.2 ± 12.9%, P = 0.025), and reduced the amplitude of electromyography signal during cycling at isotime (P = 0.034). The decline in VA throughout the trial was lower (P = 0.004) with caffeine (-0.5 ± 4.2%) than with placebo (-5.8 ± 8.5%). Caffeine also maintained peripheral oxygen saturation at higher levels (95.0 ± 1.9%) than placebo (92.0 ± 6.2%, P = 0.016).Caffeine ingestion improves performance during high-intensity, whole-body exercise via attenuation of exercise-induced reduction in VA and contractile function.

The objective of the review is to evaluate the effectiveness of green tea extract (Camellia sinensis) capsule supplementation compared with placebo for post-exercise muscle pain and muscle recovery in healthy adults.Green tea extract is popularly consumed by athletes and practitioners of physical activity, as it is easily accessible in supermarkets and health food stores. It is a source of catechins, which assist the endogenous antioxidant system in combating free radicals produced during exercise that can lead to oxidative stress and, therefore, muscle damage and delayed-onset muscle pain. However, there is no consensus on the effect of green tea extract and the ideal and safe dosage to promote muscle recovery.Studies on the effectiveness of supplementation with green tea extract capsules compared with placebo in post-exercise muscle pain and muscle recovery in healthy adults will be included. Studies that are associated with any other source of polyphenols with green tea extract will be excluded.Studies will be identified using the following databases: Cochrane Library, PubMed, Embase, Web of Science, Virtual Health Library, SPORTDiscus, Science Direct, and Scopus. OpenGrey, DART-Europe, and Google Scholar will be used to identify unpublished studies. Studies published in English, French, Spanish, or Portuguese will be included. There will be no restriction on the date of publication. Two authors will independently screen titles and abstracts following previously defined eligibility criteria. After excluding irrelevant studies, the authors will read the full texts of any articles potentially eligible for further evaluation. Any disagreements will be resolved by discussion or by consulting a third author. The included studies will be assessed on their methodological quality using the appropriate JBI critical appraisal checklist, and the data will be extracted by the two authors. A meta-analysis will be performed using a random effects or fixed effects model. The heterogeneity of the data will be calculated. This review will follow the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) to classify the certainty of the evidence.PROSPERO CRD42020138772.

The assumption that the curvature constant (W') of the power-duration relationship represents anaerobic work capacity is a controversial, unresolved question. We investigated if caffeine ingestion could increase total work done above critical power (CP), and if this would be accompanied by greater anaerobic energy expenditure and by an enhanced maintenance of maximal oxidative metabolic rate.Nine men (26.6 ± 5.3 yr, V˙O2max 40.6 ± 5.8 mL·kg·min) cycled until exhaustion at different exercise intensities on different days to determine the CP and W'. On separated days, participants cycled until exhaustion in the severe-intensity domain (136% ± 7% of CP) after ingesting either caffeine (5 mg·kg body mass) or a placebo.Time to exhaustion was 34% longer with caffeine compared with placebo, and this was accompanied by a greater work done above CP (23.7 ± 5.7 vs 17.5 ± 3.6 kJ; 130% ± 30% vs 95% ± 14% of W', P0.01). Caffeine increased the aerobic energy expenditure (296.4 ± 91.0 vs 210.2 ± 71.9 kJ, P0.01), but not anaerobic lactic, anaerobic alactic, and total anaerobic (lactic + alactic) energy expenditure. The end values of heart rate and ventilation were higher with caffeine, but the V˙O2 end was similar between conditions and was not different from V˙O2max. Caffeine did not change time to reach V˙O2max but increased time maintained at V˙O2max (199.3 ± 105.9 vs 111.9 ± 87.1 s, P0.05).Caffeine increased total work done above CP, but this was not associated with greater anaerobic work. Rather, this was associated with a higher tolerance to maintain exercise at maximal oxidative metabolic rate.

A randomized crossover trial was designed to analyze the impact of a short-term, isoenergetic fat-rich or carbohydrate (CHO)-rich diet on substrate oxidation rates during submaximal exercise and on performance in a 10,000-m running time trial in trained, mid- to late-pubertal boys.An incremental test was performed to determine the peak oxygen uptake (VO2peak). After 2 days on a fat-rich (24.2% ± 0.8% CHO, 60.4% ± 0.3% fat, and 15.5% ± 1.0% protein), CHO-rich (69.3% ± 1.2% CHO, 15.9% ± 2.1% fat, and 15.1% ± 1.1% protein), or habitual (56.1% ± 7.0% CHO, 27.5% ± 4.9% fat, and 16.5% ± 4.0% protein) diet, 19 trained adolescent boys (15.2 ± 1.5 years) performed a 10-minute constant run at 65% VO2peak to determine the respiratory exchange ratio (RER) during exercise and 10,000-m running on an outdoor track.During the constant run, the RER and CHO contribution to energy expenditure were lower, and fat contribution higher, in the fat-rich diet than in the CHO-rich diet (P 0.05), but the results were not different from those of the habitual diet. Performance in the 10,000-m run after consuming CHO- and fat-rich diets was similar to performance after a habitual diet (50.0 ± 7.0, 51.9 ± 8.3, and 50.9 ± 7.4 minutes, respectively), but consuming a CHO-rich diet enhanced performance compared with that after a fat-rich diet (P = 0.03).These findings indicate that a CHO-rich diet provides additional benefits to 10,000-m running performance in trained adolescent boys compared with a fat-rich diet.

The purpose of this study was to identify the main determinants of the self-selected pacing strategy during a 10-km running time trial. Twenty eight male long-distance runners performed the following tests: (a) maximal incremental treadmill test, (b) economy running test, (c) maximum dynamic strength test, and (d) 10-km running time trial on an outdoor track. A stepwise multiple regression model was used to identify the contribution of rating of perceived exertion (RPE), physiological, and muscular parameters on the pacing strategy adopted by athletes. In the start phase (first 400 m), RPE accounted for 72% (p = 0.001) of the pacing variance. Peak treadmill speed (PTS) measured during a maximal incremental test explained 52% (p = 0.001) of the pacing variance during the middle phase (400-9,600 m), whereas maximal oxygen uptake and maximum dynamic strength accounted for additional 23% (p = 0.002) and 5% (p = 0.003), respectively. In the end phase (last 400 m), PTS accounted alone for 66% (p = 0.003) of the pacing variance. These data suggest that predictors of the pacing strategy during a 10-km running time trial have a transitional behavior from perceptive (start phase) to muscular and physiological factors (middle and end phases).

This study tested the ventilation (VE) behavior during upper-body incremental exercise by mathematical models that calculate 1 or 2 thresholds and compared the thresholds identified by mathematical models with V-slope, ventilatory equivalent for oxygen uptake (VE/[latin capital V with dot above]o2), and ventilatory equivalent for carbon dioxide uptake (VE/[latin capital V with dot above]co2). Fourteen rock climbers underwent an upper-body incremental test on a cycle ergometer with increases of approximately 20 W·min-1 until exhaustion at a cranking frequency of approximately 90 rpm. The VE data were smoothed to 10-second averages for VE time plotting. The bisegmental and the 3-segmental linear regression models were calculated from 1 or 2 intercepts that best shared the VE curve in 2 or 3 linear segments. The ventilatory threshold(s) was determined mathematically by the intercept(s) obtained by bisegmental and 3-segmental models, by V-slope model, or visually by VE/[latin capital V with dot above]o2 and VE/[latin capital V with dot above]co2. There was no difference between bisegmental (mean square error [MSE] = 35.3 ± 32.7 l·min-1) and 3-segmental (MSE = 44.9 ± 47.8 l·min-1) models in fitted data. There was no difference between ventilatory threshold identified by the bisegmental (28.2 ± 6.8 ml·kg-1·min-1) and second ventilatory threshold identified by the 3-segmental (30.0 ± 5.1 ml·kg-1·min-1), VE/[latin capital V with dot above]o2 (28.8 ± 5.5 ml·kg-1·min-1), or V-slope (28.5 ± 5.6 ml·kg-1.min-1). However, the first ventilatory threshold identified by 3-segmental (23.1 ± 4.9 ml·kg-1·min-1) or by VE/[latin capital V with dot above]o2 (24.9 ± 4.4 ml·kg-1·min-1) was different from these 4. The VE behavior during upper-body exercise tends to show only 1 ventilatory threshold. These findings have practical implications because this point is frequently used for aerobic training prescription in healthy subjects, athletes, and in elderly or diseased populations. The ventilatory threshold identified by VE curve should be used for aerobic training prescription in healthy subjects and athletes.