International journal of sport nutrition and exercise metabolism最新文献

This observational study investigated the use of continuous glucose monitoring (CGM) in a team of professional cyclists without diabetes during two consecutive annual training camps. The goal of the study was twofold: to present the aggregated CGM metrics such as day/overnight CGM average (DAYAVG/OVNAVG) for this group of professional cyclists and to study the association between exercise energy expenditure (megajoules per day), carbohydrate intake (grams), and minimum overnight CGM values (millimoles per liter). Linear mixed models were employed in the analysis. Data were available for 26 cyclists (22 participated in both training camps). CGM levels reported (DAYAVG = 6.37 ± 0.54 mmol/L and OVNAVG = 5.30 ± 0.52 mmol/L), are not typically seen in healthy individuals not engaged in intensive exercise routines. Results showed that minimum overnight CGM values significantly fluctuated throughout the training camp, but a statistically significant association between exercise energy expenditure (p = .0839) or carbohydrate intake (p = .059) and minimum overnight CGM values could not be detected. This research contributes to the literature on CGM use in professional athletes and underscores the need for further studies to fully understand the benefits and limitations of CGM to guide sports performance.

Carbohydrate (CHO) gels are a staple among endurance athletes. When ingested during competition, CHO gels can improve endurance performance by acting as an external energy substrate, sparing endogenous glycogen, mitigating the risk of hypoglycemia, and engaging the central nervous system via receptors in the mouth and gastrointestinal tract. However, published studies and a growing number of anecdotal reports have raised concerns about possible energy and macronutrient deficiencies in several products. We therefore performed a content analysis on CHO gels from Gu Energy, Honey Stinger, Hüma, Maurten, Näak, Precision Fuel, Science in Sport, and Spring Energy. On average, products contained significantly less energy than stated on the labels (n = 8, p = .047, large effect) but with no discrepancy in CHO content (n = 8, p = .219, medium effect). Bland-Altman analyses revealed a systematic bias toward less energy and CHO in measured samples relative to the label-derived nutritional information. Moreover, the Spring Energy product fell outside the 95% limits of agreement for both energy and CHO, containing ∼71% less energy (53 vs. 180 kcal) and ∼72% less CHO (12.5 vs. 45 g) than stated on the label. A follow-up analysis revealed similar discrepancies in several Spring Energy products from multiple lots. These findings have performance, clinical, and legal implications.

We characterized daily dietary protein intakes, focusing on protein source (animal and nonanimal) and form (whole-foods and supplemental) in young (18-40 years) resistance trained (training ≥ 3×/week for ≥ 6 months; TRA; male, n = 30; female, n = 14) and recreationally active (no structured training; REC; male, n = 30; female, n = 30) individuals. Using 3-day weighed food diaries from 10 previous studies, we assessed macronutrient intakes using dietary analysis software. Energy intakes trended greater in TRA compared with REC (p = .056) and were greater in males than females (p = .006). TRA consumed greater (p = .002) proportions of daily energy intake as protein than REC (23 ± 6 vs. 19 ± 5%Energy), which also trended greater in males compared with females (22 ± 3 vs. 20 ± 2%Energy; p = .060). Absolute (p < .001) and relative (to body mass [BM]; p < .001) protein intakes were greater in TRA (males, 159 ± 54 g/day or 1.6 ± 0.7 g·kg-1 BM·day-1; females, 105 ± 40 g/day or 2.0 ± 0.6 g·kg-1 BM·day-1; p < .001) than REC (males, 103 ± 37 g/day or 1.3 ± 0.5 g·kg-1 BM·day-1; females, 85 ± 23 g/day or 1.3 ± 0.4 g·kg-1 BM·day-1; p < .001), with absolute (p = .025), but not relative (p = .129) intakes greater in males. A greater proportion of total protein was consumed from animal compared with nonanimal in TRA (68% vs. 32%, respectively; p < .001) and REC (64% vs. 36%, respectively; p < .001); the skew driven exclusively by males (72% vs. 28%, respectively; p < .001). A greater proportion (∼92%) of total protein was consumed as whole-foods compared with supplemental, irrespective of training status or sex (p < .001). We show animal and whole-food-derived proteins contribute the majority to daily dietary protein intakes in TRA and REC young males and females.

The aim of this study was to examine the effects of multiday beetroot juice ingestion on neuromuscular performance in semi-professional, male handball players. Twelve handball players competing in the second Spanish national division received 70 ml of beetroot juice (6.4 mmol of nitrate [NO3-]) or 70 ml of a placebo beetroot juice (0.04 mmol NO3-) for three consecutive days in a randomized, double-blind, crossover manner with a 1-week washout between conditions. Following supplementation in each condition, players completed a neuromuscular test battery involving handball throwing, isometric handgrip strength, countermovement jump, change-of-direction speed, and repeated-sprint assessments, with side effects also measured. Countermovement jump (4.7%; p = .038; Hedge's gav = 0.29) and isometric handgrip strength (7.8%; p = .021; gav = 0.59) were significantly superior with beetroot juice ingestion compared to the placebo. In contrast, nonsignificant differences were evident between conditions for all other neuromuscular performance variables (p > .05; gav = 0.00-0.27). Red urine production was the only side effect, demonstrating a significantly higher prevalence (p = .046) with beetroot juice ingestion. Three days of beetroot juice supplementation may be a useful nutritional strategy in semi-professional, male handball players given its ergogenic benefit to some aspects of neuromuscular performance.

Enhanced buffering capacity following sodium citrate (SC) ingestion may be optimized when subsequent exercise commences at individual time-to-peak (TTP) alkalosis (blood pH or bicarbonate concentration [HCO3-]). While accounting for considerable interindividual variation in TTP (188-300 min), a reliable blood alkalotic response is required for practical use. This study evaluated the reliability of blood pH, HCO3-, and sodium (Na+) following acute SC ingestion. Fourteen recreationally active males ingested 0.4 or 0.5 g/kg body mass (BM) of SC on two occasions each and 0.07 g/kg BM of sodium chloride (control) once. Blood pH and HCO3- were measured for 4 hr postingestion. Blood pH and HCO3- displayed good reliability following 0.5 g/kg BM SC (r = .819, p = .002, standardized technical error [sTE] = 0.67 and r = .840, p < .001, sTE = 0.63, respectively). Following 0.4 g/kg BM SC, blood HCO3- retained good reliability (r = .771, p = .006, sTE = 0.78) versus moderate for blood pH (r = .520, p = .099, sTE = 1.36). TTP pH was moderately reliable following 0.5 (r = .676, p = .026, sTE = 1.05) and 0.4 g/kg BM SC (r = .679, p = .025, sTE = 0.91) versus poor for HCO3- following 0.5 (r = .183, p = .361, sTE = 5.38) and 0.4 g/kg BM SC (r = .290, p = .273, sTE = 2.50). Although the magnitude of (and displacement in) blood alkalosis, particularly HCO3-, appears reliable following potentially ergogenic doses of SC, strategies based on individual TTP cannot be recommended.

Taurine (TAU) has been shown to improve time to exhaustion (TTE) and fat oxidation during exercise; however, no studies have examined the effect of acute TAU supplementation on maximal fat oxidation (MFO) and related intensity to MFO (FATmax). Our study aimed to investigate the effect of acute TAU supplementation on MFO, FATmax, VO2peak, and TTE. Eleven recreationally trained male endurance runners performed three incremental running tests. The first visit included a familiarization to the test, followed by two subsequent visits in which exercise was performed 90 min after ingestion of either 6-g TAU or placebo (PLA) using a triple-blind randomized crossover design. There was no effect of TAU on MFO (p = .89, d = -0.07, TAU: 0.48 ± 0.22 g/min; PLA: 0.49 ± 0.15 g/min or FATmax (p = .26, d = -0.66; TAU: 49.17 ± 15.86 %V˙O2peak; PLA: 56.00 ± 13.27 %V˙O2peak). TTE was not significantly altered (TAU: 1,444.8 ± 88.6 s; PLA: 1,447.6 ± 87.34 s; p = .65, d = -0.04). TAU did not show any effect on V˙O2peak in comparison with PLA (TAU: 58.9 ± 8.4 ml·kg-1·min-1; PLA: 56.5 ± 5.7 ml·kg-1·min-1, p = .47, d = 0.48). However, V˙O2 was increased with TAU at most stages of exercise with large effect sizes. The acute ingestion of 6 g of TAU before exercise did not enhance MFO, FATmax, or TTE. However, it did increase the oxygen cost of running fixed intensities in recreationally trained endurance runners.

Hypoxia (HY) and sleep deprivation have opposite effects on appetite. As HY may alter sleep, it may be informative to assess the accumulative effects of these two stressors on hunger, energy intake (EI), and food reward. Seventeen young, active, healthy males completed four 5-hr sessions in normoxia (NO) or normobaric HY (FIO2 = 13.6%, ∼3,500 m) after a night of habitual sleep (HS; total sleep time >6 hr) or sleep restriction (SR; total sleep time <3 hr). Subjective appetite was assessed regularly using visual analogic scales and EI during an ad libitum lunch after 3.5 hr of exposure. Food reward was assessed using the Leeds Food Preference Questionnaire just before the lunch. As expected, EI was lower for the HY-HS (4.32 ± 0.71 MJ; p = .048) and HY-SR (4.16 ± 0.68 MJ, p = .013) sessions than the NO-HS (4.90 ± 0.84 MJ) session without acute mountain sickness-related gastrointestinal symptoms. No significant effect of SR alone was observed (NO-SR: 4.40 ± 0.68 MJ). Subjective appetite was not affected. Explicit liking for high-fat foods was higher with SR than HS (main effect: p = .002) and implicit wanting for high-fat foods was higher for the NO-SR, HY-HS, and HY-SR sessions than the NO-HS session (p < .006). Thus, acute SR did not modify subjective appetite or EI despite the increasing food reward for high-fat foods and did not alter the HY-induced changes of appetite or food reward.

Marine-derived proteins, such as blue whiting-derived protein hydrolysates (BWPH), represent high-quality sources of dietary protein, but their ability to support postexercise anabolism is not established. The impact of BWPH on whole-body anabolism was compared with an isonitrogenous whey protein isolate (WPI) and nonessential amino acid (NEAA) control in 10 trained young males (31 ± 4 years) who, on three separate visits, performed a session of whole-body resistance exercise and then consumed, in randomized crossover fashion, BWPH, WPI, or NEAA (0.33 g/kg; 19, 33, and 0 mg/kg leucine, respectively) with L-[1-13C]leucine. Breath, blood, and urine samples were collected for 6-hr postprandial to assess dietary leucine oxidation, amino acid (AA) concentrations, and 3-methylhistidine: creatinine ratio. Peak and area under the curve concentrations for leucine, branched-chain amino acids, and essential amino acids were greater in WPI compared with BWPH (all p < .05) but with no differences in time to peak concentration. Total oxidation reflected leucine intake (WPI > BWPH > NEAA; p < .01), whereas relative oxidation was greater (p < .01) in WPI (28.6 ± 3.6%) compared with NEAA (21.3 ± 4.2%), but not BWPH (28.6 ± 8.8%). Leucine retention, a proxy for whole-body protein synthesis, was greater in WPI (185.6 ± 9.5 μmol/kg) compared with BWPH (109.3 ± 14.1 μmol/kg) and NEAA (5.74 ± 0.30 μmol/kg; both p < .01), with BWPH being greater than NEAA (p < .01). Urinary 3-methylhistidine: creatinine ratio did not differ between conditions. Both WPI and BWPH produced essential aminoacidemia and supported whole-body anabolism after resistance exercise, but a higher intake of BWPH to better approximate the leucine and EAA content of WPI may be needed to produce an equivalent anabolic response.