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Both sleep loss and exercise regulate gene expression in skeletal muscle, yet little is known about how the interaction of these stressors affects the transcriptome. The aim of this study was to investigate the effect of nine nights of sleep restriction (SR), with repeated resistance exercise (REx) sessions, on the skeletal muscle transcriptome of young, trained females. Ten healthy females aged 18–35 yr old undertook a randomized cross-over study of nine nights of SR (5 h time in bed) and normal sleep (NS; ≥7 h time in bed) with a minimum 6-wk washout. Participants completed four REx sessions per condition (days 3, 5, 7, and 9). Muscle biopsies were collected both pre- and post-REx on days 3 and 9. Gene and protein expression were assessed by RNA sequencing and Western blot, respectively. Three or nine nights of SR had no effect on the muscle transcriptome independently of exercise. However, close to 3,000 transcripts were differentially regulated (false discovery rate < 0.05) 48 h after the completion of three resistance exercise sessions in both NS and SR conditions. Only 39% of downregulated genes and 18% of upregulated genes were common between both conditions, indicating a moderating effect of SR on the response to exercise. SR and REx interacted to alter the enrichment of skeletal muscle transcriptomic pathways in young, resistance-trained females. Performing exercise when sleep restricted may not provide the same adaptive response for individuals as if they were fully rested. NEW & NOTEWORTHY: This study investigated the effect of nine nights of sleep restriction, with repeated resistance exercise sessions, on the skeletal muscle transcriptome of young, trained females. Sleep restriction and resistance exercise interacted to alter the enrichment of skeletal muscle transcriptomic pathways in young, resistance-trained females. Performing exercise when sleep restricted may not provide the same adaptive response for individuals as if they were fully rested. [ABSTRACT FROM AUTHOR]

Aims: To explore the relationship between nutritional intake, fermentable oligo‐, di, monosaccharides and polyols, and carbohydrate malabsorption, with gastrointestinal symptoms during a 56 km trail ultramarathon event and identify differences in nutritional intake between runners with severe and non‐severe gastrointestinal symptoms. Methods: Forty‐four ultramarathoners recorded and self‐reported dietary intake 3 days before, morning of, and during the ultramarathon with gastrointestinal symptoms obtained retrospectively and nutrient analysis via FoodWorks. Carbohydrate malabsorption was determined via breath hydrogen content pre‐ and post‐race. Spearman's rank‐order and Mann–Whitney U‐tests were used to identify relationships and differences between groups. Results: Total fermentable oligo‐, di, monosaccharides and polyols intake were not associated with gastrointestinal symptoms, but weak associations were observed for lower energy (rs = −0.302, p = 0.044) and fat intake (rs = −0.340, p = 0.024) 3 days before with upper gastrointestinal symptoms and higher caffeine intake 3 days before with overall gastrointestinal symptoms (rs = 0.314, p = 0.038). Total fermentable oligo‐, di‐, monosaccharides and polyols intake and breath hydrogen were not different between those with severe versus non‐severe symptoms (p > 0.05). Although those with severe symptoms had higher caffeine (p = 0.032), and total polyols intake (p = 0.031) 3 days before, and higher % energy from fat (p = 0.043) and sorbitol intake (p = 0.026) during the race, and slower ultramarathon finish times (p = 0.042). Conclusion: Total fermentable oligo‐, di‐, and monosaccharides intake and carbohydrate malabsorption were not associated with gastrointestinal symptoms. Additional research on the effect of fat, caffeine, and polyol intake on exercise‐associated gastrointestinal symptoms is warranted and presents new nutritional areas for consideration when planning nutritional intake for ultramarathoners. [ABSTRACT FROM AUTHOR]

Baseline concussion testing is a valuable tool to manage the health and well-being of an athlete in the event they sustain a concussion. However, if baseline testing results are invalid and inaccurate, then its efficacy becomes questionable. The primary aim of this review was to understand how baseline concussion testing was affected by abnormal sleep prior to testing. A total of 11 studies were included in this review based on a systematic search strategy and inclusion criteria. The findings of this review suggest that abnormal sleep the night prior to baseline testing significantly impairs baseline concussion testing performance. This is concerning because baseline testing should reflect an athlete's normal functioning to ensure an accurate reference point exists. A greater concern is that an individual exhibiting a lower-thannormal functioning level may be cleared to return to play prematurely if they sustain a concussion. The secondary aim of this review was to provide recommendations for practitioners surrounding effective baseline concussion testing. Given the significant impact sleep has on accurate baseline testing, the authors feel that if baseline testing protocols continue as it is, all parties will be negatively impacted should an individual sustain a concussion. Therefore, the present paper makes the following recommendations: (1) conduct multiple tests during pre-season to determine an average or median reference point; (2) perform baseline testing at a similar time of day to when players compete; (3) regularly monitor players' sleep to ensure baseline testing results are not affected by poor sleep; (4) avoid baseline testing if players are known to have experienced poor sleep the night before and; (5) use standardised recommended tools for baseline concussion assessment, such as the SCAT-5. [ABSTRACT FROM AUTHOR]

Heart rate (HR) indices are useful for monitoring athlete fatigue or "readiness to perform." This study examined whether HR indices are sensitive to changes in readiness following sleep restriction (SR) and sleep extension (SE). Nine athletes completed a crossover study with 3 conditions: SR, normal sleep (NS), and SE. Each condition required completion of an endurance time trial (TT) on 4 consecutive days (D1-D4). Athletes slept habitually before D1; however, time in bed was reduced by 30% (SR), remained normal (NS), or extended by 30% (SE), on subsequent nights (D1-D3). Daily resting HR and HR variability were recorded. The maximal rate of HR increase and HR recovery was determined from a constant-load test before TTs. Exercise intensity ratios incorporating mean HR, mean power (W), and perceived exertion (RPE) were recorded at steady state during constant-load tests (W:HRSS) and during TTs (W:HRTT, RPE:HRTT). Compared with D4 of NS, RPE:HRTT was lower on D4 of SE (p = 0.008)--when TT performances were faster. Compared with D1 of SR, RPE:HRTT was higher on D3and D4of SR(p < 0.02). Moderate correlations were found between percentage changes in W:HRTT and changes in TT finishing time in SR (r = -0.67, p = 0.049) and SE (r = -0.69, p = 0.038) conditions. Intensity ratios incorporating mean HR seem sensitive to effects of sleep duration on athlete readiness to perform. When interpreting intensity ratios, practitioners should consider potential effects of prior sleep duration to determine whether sleep-promoting interventions are required (e.g., SE). [ABSTRACT FROM AUTHOR]

Currently, little is known about how complex carbohydrates (maltodextrins) with varying degrees of polymerisation (DP) and molecular branching interact with α-amylase in human saliva and the associated amounts and structures of generated reducing sugars. Therefore, this study aimed to investigate salivary α-amylase and the subsequent reducing sugars generated with complex carbohydrate stimuli. A secondary aim was to investigate reducing sugar generation and complex carbohydrate taste sensitivity. Whole, stimulated saliva was collected from 32 participants. Two maltodextrin samples were used (short chain maltodextrin (SCM), average DP 6, and long chain maltodextrin (LCM), average DP 20) with and without the α-amylase inhibitor, acarbose. The concentration of reducing sugars generated by the salivary α-amylase was determined and high performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD) was used to investigate their molecular chain profiles. Complex carbohydrate taste sensitivity was measured using detection threshold (DT) and suprathreshold intensity perception methods (ST). The addition of acarbose significantly reduced the amount of reducing sugars generated for both LCM and SCM samples (p = 0.0001). The LCM sample produced a significantly higher amount of reducing sugars than the SCM sample (p = 0.0001). For the LCM sample, there was no effect of complex carbohydrate taste sensitivity on reducing sugar generation (all p > 0.05). For the SCM sample, evidence suggests that reducing sugar generation may be impact complex carbohydrate sensitivity (DT: p = 0.059, ST: p = 0.076). In conclusion, DP of the maltodextrins impacted the amount of reducing sugars generated. Furthermore, there was evidence to suggest that an interaction exists between complex carbohydrate taste sensitivity and the generation of reducing sugars., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Previous research has demonstrated that complex carbohydrates (maltodextrins) can be perceived in the oral cavity. However, little research has been conducted to thoroughly investigate complex carbohydrate taste perception and contributing factors. This study explored the effects of the degree of polymerization and the concentration of complex carbohydrates on taste perception. Additionally, the impact of lactisole and acarbose on carbohydrate taste perception was investigated. Using a blinded, Latin Square design, participants ( n = 40) received samples (control) or samples with acarbose (5 mM) or lactisole (1.4 mM). Per visit, participants received solutions: (1) short chain maltodextrin (average DP 6) (SCM), (2) long chain maltodextrin (average DP 24) (LCM), (3) maltose, and (4) glucose. Samples were evaluated in duplicate, both at low concentration and high concentration. Participants tasted the samples and rated sweetness, starchiness, and viscosity (mouthfeel) perceived on a 10 cm continuous line scale and perceived intensity on a Labelled Magnitude Scale. There was a significant effect of degree of polymerisation on sweetness ( p = 0.001) and intensity ( p = 0.001). For low concentration samples, no significant differences were found between LCM and acarbose LCM or SCM and acarbose SCM for sweetness, starchiness, or mouthfeel (all p > 0.05). Significant differences were observed between LCM and lactisole LCM for sweetness (1.1 ± 0.1 vs. 2.5 ± 0.3, p = 0.001), starchiness (1.4 ± 0.2 vs. 2.3 ± 0.3, p = 0.005), and mouthfeel (1.4 ± 0.2 vs. 2.3 ± 0.3, p = 0.013). In conclusion, the taste perception of maltodextrins is influenced by the degree of polymerisation. Furthermore, for this study, the sweet taste receptor was not involved in maltodextrin taste perception. While salivary α-amylase did not appear to influence taste perception with low concentration maltodextrins, further investigation is necessary.

The aim of this pilot study was to determine the effect of individual complex carbohydrate taste sensitivity on cycling performance with complex carbohydrate oral rinsing. Ten male participants completed five cycling time trials in a fasted state with a seven-day washout period between each trial. Participants completed a fixed amount of work (738.45 ± 150.74 kJ) as fast as possible on a cycle ergometer while rinsing with an oral rinse for 10 s every 12.5% of the trial. An oral rinse (maltodextrin, oligofructose, glucose, sucralose or water control) was given per visit in a randomised, crossover, blinded design. Afterwards, participants had their taste assessed with three stimuli, complex carbohydrate (maltodextrin), sweet (glucose) and sour (citric acid), using taste assessment protocol to determine individual taste sensitivity status. Participants were subsequently grouped according to their complex carbohydrate taste sensitivity and complex carbohydrate taste intensity. There were no significant effects of the oral rinses on cycling performance time ( p = 0.173). Participants who did not have improvements in exercise performance with the maltodextrin rinse experienced a stronger taste intensity with complex carbohydrate stimuli at baseline ( p = 0.047) and overall ( p = 0.047) than those who did have improvements in performance. Overall, a carbohydrate oral rinse was ineffective in significantly improving cycling performance in comparison with a water control. However, when participants were grouped according to complex carbohydrate taste intensity, differences in exercise performance suggest that individual sensitivity status to complex carbohydrates could impact the efficacy of a carbohydrate-based oral rinse., Competing Interests: The authors declare no conflicts of interest.

The study aimed to determine if overnight heart rate variability (HRV) is reflective of workload and stress during military training. Measures of cognitive load, perceived exertion, physical activity, nocturnal HRV, cognitive performance and sleep were recorded for a 15-day assessment period in 32 combat engineers. The assessment period consisted of 4 phases, PRE, FIELD, BASE and RECOVERY that exposed trainees to periods of sleep deprivation and restriction. The FIELD phase was characterised by an increase in mood disturbance, perceived exertion, physical activity, HRV and a reduction in sleep quantity (p < 0.05). Measures of HRV returned to PRE-values quicker than subjective wellbeing responses. The combination of sleep duration (β = -0.002, F = 13.42, p < 0.001) and physical activity (metabolic equivalents, β = -0.483, F = 5.95, p = 0.017), the main stressors of the exercise, provided a significant effect in the best predictive model of HRV. The different recovery rates of HRV and subjective wellbeing suggest a different physiological and psychological response., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

This study examined sex differences among endurance athletes in pre-race relationships between sleep, and perceived stress and recovery. Thirty-six athletes completed the Short Recovery and Stress Scale, and had sleep monitored via actigraphy, over four consecutive days prior to an ultra-marathon. Overall, compared with males, females had shorter wake after sleep onset (mean ± SD, 50 ± 23 vs 65 ± 23 min, p = .04) and lower emotional balance (3.9 ± 1.1 vs 4.8 ± 1.1 arbitrary units, p = .001). The day before the race, females scored higher for all stress-related items ( p < 0.05). Among females, higher scores for emotional balance (β = -31 min, p = .01) and negative emotional state (β = -21 min, p < .001) were associated with reduced sleep duration. Among males, higher scores for overall stress were associated with increased sleep duration (β = 22 min, p = .01). Across all athletes, longer sleep duration was associated with improved overall recovery (β = 0.003 arbitrary units, p = .02). Females experienced greater pre-race stress than males, and their sleep duration was associated with emotional factors. The SRSS may help identify female athletes at risk of sleep difficulties prior to competition.

Objectives: Examine Australian Football League results for evidence that game-day circadian misalignment or environmental temperature influence games with competing teams from each of Western Australia and Victoria., Design: Retrospective observational study., Methods: Data were obtained for games (n = 791) contested by Western Australian and Victorian teams; including game location, start time, and outcome. Start times were categorised as afternoon, twilight, or night. Game-day maximum temperature (°C) for afternoon games was obtained from the Australian Bureau of Meteorology. Mixed effects generalised linear models examined evidence for a circadian advantage to Victorian teams in afternoon games, and to Western Australian teams in night games. Models examined evidence for an advantage to Western Australian teams as game-day temperature increases., Results: Odds of winning and point margin for home games played in the afternoon, twilight, and night, were not different between Victorian and Western Australian teams (p > 0.05). For afternoon games, each 1 °C increase in temperature improved odds of Western Australian teams winning by 11% (p < 0.001) and their point margin by 2.1 points (p < 0.001). For games played in Victoria, each 1 °C increase in temperature improved odds of Western Australian teams winning by 6% (p = 0.028) and their point margin by 1.7 points (p = 0.005)., Conclusions: There is no evidence here that circadian misalignment between teams influences game outcomes in the AFL. Western Australian teams are more likely to win afternoon games played in warm conditions. This may reflect superior heat acclimatisation among AFL players based in Western Australia., (Copyright © 2022 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Purpose: Australian football has elite men's (Australian Football League; AFL) and women's (Australian Football League Women's; AFLW) competitions. This study compared AFL and AFLW players' sleep and characterized players' sleep in the context of current sleep recommendations., Methods: A total of 70 players (36 AFL, 34 AFLW) had their sleep monitored via actigraphy over a 10-day preseason period. Sleep outcomes and their intraindividual variation, were compared between AFL and AFLW players using linear mixed models. Proportions of players sleeping ≥7 and ≥8 hours per night, and achieving ≥85% sleep efficiency, were compared using chi-square analyses., Results: Compared with AFL players, AFLW players slept less (7.9 [0.5] vs 7.1 [0.6] h, P = .000), had lower sleep efficiency (89.5% [2.8%] vs 84.0% [4.4%], P = .000), and greater intraindividual variation in sleep efficiency (3.1% [0.9%] vs 5.1% [2.1%], P = .000). A total of 47% of AFLW versus 3% of AFL players averaged <7 hours sleep (χ2 = 18.6, P = .000). A total of 88% of AFLW versus 50% of AFL players averaged <8 hours sleep (χ2 = 11.9, P = .001). A total of 53% of AFLW versus 14% of AFL players averaged <85% sleep efficiency (χ2 = 12.1, P = .001)., Conclusions: AFLW players slept less and had poorer sleep quality than AFL players. Many AFLW players do not meet current sleep duration or sleep quality recommendations. Research should test strategies to improve sleep among Australian rules footballers, particularly among elite women.