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Background: Athletes display a high prevalence of undesired sleep characteristics that may affect both performance and wellbeing. Objectives: This scoping review aimed to identify and map the existing evidence of behavioral sleep interventions and their effects on sleep outcomes in athletes, and retrospectively code the behavior change techniques (BCTs) implemented using the Behavior Change Technique Taxonomy (BCTTv1). Methods: Conducted following the JBI methodology for scoping reviews, four online databases were used to identify prospective interventions with at least one behavioral component in competitive athletes, and reporting a sleep outcome pre- and post-intervention. Results: Thirty-three studies met the inclusion criteria, encompassing 892 participants with a median age of 23. Five intervention categories were identified (education, mind-body practices, direct, multi-component, and other), with each demonstrating mixed efficacy but the potential to improve sleep outcomes. The BCTs varied in type and frequency between each category, with only 18 unique BCTs identified across all studies. Conclusions: The varied efficacy of previous studies at improving sleep outcomes may be attributed to the lack of behavior change theory applied during intervention development. Designing interventions following a targeted specification of the behavioral problem, and the integration of corresponding BCTs should be considered in future research. [ABSTRACT FROM AUTHOR]

Objectives: Drumming may have therapeutic and learning benefits but there exists little causal evidence regarding the benefits for children with emotional and behavioral difficulties (EBD) such as Autistic Spectrum Disorder. Methods: Six EBD pupils (EBD Drum) and six peers (Peer Drum) were given 2, 30-min rock drumming lessons per week, over 5 weeks. Six matched individuals received no drumming instruction (3 = EBD Control; 3 = Peer Control). An exploratory, mixed-methods analysis was used to explore quantitative changes in skills and qualitative perspectives of the teaching staff. All pupils were tested two times (pretest and posttest) on drumming ability and Motor skills (Movement Assessment Battery for Children, version 2). Teacher's rating of social behavior (Strength and Difficulties Questionnaire; SDQ) was tested two times (pretest and retention). Results: Significant differences in total SDQ difficulties between the four groups (X[superscript 2(3)] = 8.210, p = 0.042) and the hyperactivity subscale (X[superscript 2(3)] = 10.641, p = 0.014) were observed. The EBD Drum group had greater reductions in total difficulties compared to the Peer Drum (p = 0.009) group and specifically greater reductions in hyperactivity compared to Peer Drum (p = 0.046) and the EBD Control (p = 0.006) group. In follow-up interviews, staff spoke positively about changes in pupil's attitudes toward learning and social confidence. Conclusions: The positive changes to social and behavioral skills reported in this pilot study are similar to those recorded for other music modalities.

This study presents the sleep characteristics of British student‐athletes and examines the relationships between sport scheduling and time demands on sleep outcomes. Student‐athletes (n = 157, 51% male) completed the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and the Sleep Hygiene Index (SHI). Self‐reported sleep characteristics on weekdays and weekends, weekly frequencies of early morning and late evening sport sessions, and academic‐related and sport‐related time demands were also collected. Questionnaires revealed a high prevalence of undesired sleep characteristics including poor sleep quality (global PSQI >5 in 49.0%) and low sleep durations on weekdays (25% reporting <7 h). Paired t‐tests revealed significant differences in bedtime, waketime, sleep duration, and sleep onset latency between weekdays and weekends (all p < 0.01). Hierarchical regression analyses indicated that early morning sport frequency was a significant predictor of PSQI (β = 0.30) and SHI (β = 0.24) global scores, weekday waketimes (β = −0.17), and weekday sleep durations (β = −0.25; all p < 0.05) in models adjusted for participant characteristics. Late evening sport frequency, and academic‐related and sport‐related time demands, were not significant predictors of any sleep outcome. Adjusting sport scheduling to avoid early start times could provide a means to improve sleep outcomes and may improve sporting performance and academic attainment. [ABSTRACT FROM AUTHOR]

Static assessment and grouping of riders by competition level are prevalent in equestrian coaching practice and research. This study explored sagittal pelvic tilt in 35 competitive dressage riders to analyse the relationship between static and dynamic postures and assess the interaction of competition level. Riders were assessed using optical motion capture on a riding simulator at halt and in walk, trot, and left and right canter. Mean, minimum and maximum pelvic tilt, and range of motion (ROM) were measured as the pitch rotation of a rigid body formed by markers placed on the rider's left/right anterior and posterior superior iliac spines and sacrum, averaged over six time-normalised strides. Three key results emerged: (1) there are correlations between the rider's mean pelvic tilt in simulated walk, trot and canter, but not at halt; (2) mean pelvic tilt values are not significantly influenced by competition level (p = 0.233); and (3) the minimum and maximum pelvic tilt values illustrate individual strategies between gaits. Therefore, results from static assessment and grouping of riders by competition level should be interpreted with caution. Riders should be assessed as individuals, during dynamic riding-specific tasks, to understand their postural strategies. [ABSTRACT FROM AUTHOR]

This study aimed to examine the sleep parameters and sleep/wake regularity of a cohort of student-athletes who start training between 06:30 and 07:00. Twenty-one male Rugby Union players, aged 21 ± 2 years and competing at a national level, were assessed using actigraphy over two weeks, and the Athlete Sleep Screening Questionnaire (ASSQ). Sleep/wake regularity was calculated using the Sleep Regularity Index (SRI). Wilcoxon signed-rank tests showed that nocturnal sleep preceding morning training had a significantly shorter sleep duration (1.8 hr, r = .67), and advanced sleep onset (0.9 hr, r = .50) and sleep offset times (3.2 hr, r = .85) compared to nocturnal sleep preceding free days. The variability of training demands resulted in an inconsistent sleep pattern between consecutive days, resulting in a median SRI score of 67.0 (interquartile range: 17.0). Pearson correlations revealed that lower SRI was significantly associated with a higher daily sleep duration including naps (r = -.62), delayed sleep onset (r = -.50) and sleep offset (r = -.60), and a later chronotype assessed using the ASSQ (r = .52). These findings indicate that early morning training is a factor contributing to irregular sleep/wake patterns in student-athletes, and where feasible should be scheduled at an alternative time. [ABSTRACT FROM AUTHOR]

Purpose: Previously it has been observed that, in well-trained 800-m athletes, VO2max is not attained during middle-distance running events on a treadmill, even when a race-type pacing strategy is adopted. Therefore, the authors investigated whether specialization in a particular running distance (400-m or 800-m) influences the VO2 attained during running on a treadmill. Methods: Six 400-m and six 800-m running specialists participated in the study. A 400-m trial and a progressive test to determine VO2max were completed in a counterbalanced order. Oxygen uptakes attained during the 400-m trial were compared to examine the influence of specialist event. Results: A VO2 plateau was observed in all participants for the progressive test, demonstrating the attainment of VO2max. The VO2max values were 56.2 ± 4.7 and 69.3 ± 4.5 mL · kg-1 · min-1 for the 400-m-and 800-m-event specialists, respectively (P = .0003). Durations for the 400-m trial were 55.1 ± 4.2 s and 55.8 ± 2.3 s for the 400-m- and 800-m-event specialists, respectively. The VO2 responses achieved were 93.1% ± 2.0% and 85.7% ± 3.0% VO2max for the 400-m- and 800-m-event specialists, respectively (P = .001). Conclusions: These results demonstrate that specialist running events do appear to influence the percentage of VO2max achieved in the 400-m trial, with the 800-m specialists attaining a lower percentage of VO2max than the 400-m specialists. The 400-m specialists appear to compensate for a lower VO2max by attaining a higher percentage VO2max during a 400-m trial. [ABSTRACT FROM AUTHOR]

We tested the hypothesis that prior heavy-intensity exercise reduces the difference between asymptotic oxygen uptake (VO2) and maximum oxygen uptake (VO2max) during exhaustive severe-intensity tanning lasting ≈ 2 minutes. Ten trained runners each performed 2 ramp tests to determine peak VO2 (VO2peak) and speed at ventilatory threshold. They performed exhaustive square-wave runs lasting ≈ 2 minutes, preceded by either 6 minutes of moderate-intensity running and 6 minutes rest SEVMOD) or 6 minutes of heavy-intensity running and 6 minutes rest (SEVHEAVY). Two transitions were completed in each condition. VO2 was determined breath by breath and averaged across the 2 repeats of each test; for the square-wave test, the averaged VO2 response was then modeled using a monoexponential function. The amplitude of the VO2 response to severe-intensity running was not different in the 2 conditions (SEVMOD vs SEVHEAVY; 3925 ± 442 VS 3997 ± 430 mL/min, P = .237), nor was the speed of the response (τ 9.2 ± 2.1 vs 10.0 ± 2.1 seconds, P = .177). VO2peak from the square-wave tests was below that achieved in the ramp tests (91.0% ± 3.2% and 92.0% ± 3.9% VO2peak, P < .001). There was no difference in time to exhaustion between conditions (110.2 ± 9.7 vs 111.0 ± 15.2 seconds, P = .813), The results show that the primary VO2 response is unaffected by prior heavy exercise in running performed at intensities at which exhaustion will occur before a slow component emerges. [ABSTRACT FROM AUTHOR]

We report a case of overdrinking-induced hyponatraemia from the 2007 London Marathon. The patient was a 37-year-old experienced female marathon runner. She was brought to the emergency room more than 6 h after completing the marathon suffering from diarrhoea, vomiting and confusion, and was unable to recall any detail of the race. An arterial blood sample confirmed hyponatraemia ([Na(+)] 117 mmol.l(-1)) associated with hypokalaemia (serum potassium concentration 3.4 mmol.l(-1)) and respiratory alkalosis (pH 7.62, bicarbonate 16.1 mmol.l(-1) and Pco(2) 2.14 kPa). A diagnosis of uncomplicated exercise-associated hyponatraemia due to voluntary overdrinking was made and the patient was catherised and treated with a slow (1 h) intra-venous infusion of 500 ml of 1.8% sodium chloride (NaCl) solution. The following morning her serum [Na(+)] had normalised at 135 mmol.l(-1) and she was discharged in the afternoon. She has recovered fully without sequelae.

Purpose: Previously it has been observed that, in well-trained 800-m athletes, VO2max is not attained during middle-distance running events on a treadmill, even when a race-type pacing strategy is adopted. Therefore, the authors investigated whether specialization in a particular running distance (400-m or 800-m) influences the VO2 attained during running on a treadmill., Methods: Six 400-m and six 800-m running specialists participated in the study.A 400-m trial and a progressive test to determine VO2max were completed in a counterbalanced order. Oxygen uptakes attained during the 400-m trial were compared to examine the influence of specialist event., Results: A VO2 plateau was observed in all participants for the progressive test, demonstrating the attainment of VO2max. The VO2max values were 56.2 +/- 4.7 and 69.3 +/- 4.5 mL x kg-1 x min-1 for the 400-m- and 800-m-event specialists, respectively (P = .0003). Durations for the 400-m trial were 55.1 +/- 4.2 s and 55.8 +/- 2.3 s for the 400-m- and 800-m-event specialists, respectively. The VO2 responses achieved were 93.1% +/- 2.0% and 85.7% +/- 3.0% VO2max for the 400-m- and 800-m-event specialists, respectively (P = .001)., Conclusions: These results demonstrate that specialist running events do appear to influence the percentage of VO2max achieved in the 400-m trial, with the 800-m specialists attaining a lower percentage of VO2max than the 400-m specialists. The 400-m specialists appear to compensate for a lower VO2max by attaining a higher percentage VO2max during a 400-m trial.