Sleep In Athletes Research Articles

Longitudinal assessment of objective sleep and power output in Division I collegiate baseball athletes.

Many college athletes experience insufficient sleep due to athletic, academic, and social constraints. While prior studies have observed cross-sectional associations between poor sleep and performance in athletes, few studies have longitudinally assessed performance variations in relation to sleep measures. We investigated whether objectively measured sleep assessments were associated with peak power output improvements during a fall season of Division I collegiate baseball players. Peak power output was assessed weekly for 12weeks in 24 male collegiate baseball players (age: 21±1years). Objective sleep (Oura ring) was assessed over the final 6weeks to determine total sleep time, sleep efficiency, and other assessments of sleep quality, including the proportion of nights in which athletes maintained total sleep time ≥7hours or sleep efficiency ≥90%. Bivariate correlations between sleep measures and peak power output were performed. Greater improvements in peak power output throughout the fall season were associated with higher total sleep time (r=0.429, p=.036), higher sleep efficiency (r=0.411, p=.046), and fewer nighttime awakenings (r=-0.495, p=.014). Furthermore, the rate of change in peak power output was associated with the proportion of nights in which athletes maintained total sleep time ≥7hours (r=0.557, p=.005) or sleep efficiency ≥90% (r=0.509, p=.011). These findings support an association between adequate sleep duration, quality, and consistency in training season performance trajectories in college athletes. Data will be made available upon reasonable request by the corresponding author.

The Impact of Sleep on Cognitive Function in Youth Athletes

ABSTRACT Objectives This study sought to characterize the sleep of youth athletes and investigate relationships between sleep measures and cognitive function. Method Youth netball athletes (n = 19, age; 16.58 ± 1.26 years), wore an Actigraph wGT3X-BT and completed a daily sleep diary over 8 weeks. Cognitive function was measured every 2 weeks using Inquisit online software. Data were analyzed using generalized estimating equations to investigate the relationship between sleep and cognitive function. Results Youth athletes averaged <7 hr of sleep each night. Increases in total sleep time (β= −.13, CI [−.21, −.06]) sleep efficiency (β= −.49, CI [−.87, −.11]) and sleep quality rating (β= −12.23, CI [−21.26, −3.20]) resulted in a decrease in reaction time (p < .05). Increases in sleep onset latency (β= .04, CI [.02, .06]) and wake after sleep onset (β= .03, CI [.01, .05]) resulted in an increased error count for the digit symbol substitution task (p < .05). Conclusion Findings show that many youth athletes obtain less than the recommended amount of sleep. This is concerning given the importance of sleep for adolescent development. Inadequate sleep in youth athletes appears to negatively affect cognitive function. Future research should investigate the impact of inadequate sleep in youth athletes on athletic and academic performance.

Relationship Between Poor Sleep and Depressive Symptoms in Korean Elite Youth Athletes.

Background: Sleep and mental health are crucial to elite youth athletes, who face combined pressures of training, competition, school, and social commitments. We examined the association between sleep and depression in elite youth athletes. Methods: We analyzed data of 248 Korean world-class youth athletes (aged 13-19 years). The athletes completed the Pittsburgh Sleep Quality Index (PSQI), the Morningness-Eveningness Questionnaire (MEQ), and the Center for Epidemiologic Studies Depression Scale (CES-D). Results: Overall, 50.4% of the athletes were considered poor sleepers (global PSQI score ≥ 5.5); 23.8% reported depressive symptoms (CES-D score ≥ 16). Depression was 4.26 times (95% confidence interval [CI], 2.00-9.09, p < 0.001) more likely in poor than in good sleepers. Odds of depression were increased with poor subjective sleep quality (odds ratio [OR]: 4.62; 95%CI, 2.10-10.18, p < 0.001), prolonged sleep latency (OR: 2.45: 95% CI, 1.28-4.69, p < 0.01), increased sleep disturbances (OR: 3.98: 95% CI, 1.83-8.63, p < 0.001), and daytime dysfunction (OR: 3.28; 95% CI, 1.67-6.44, p < 0.001). Depressive symptoms were associated with worse sleep, particularly poor subjective sleep quality, prolonged sleep latency, increased sleep disturbances, and increased daytime dysfunction. Conclusions: These results suggest that depressive symptoms are associated with poor sleep in the elite youth athlete population.

Impact of evening blue light exposure timing on sleep, motor, and cognitive performance in young athletes with intermediate chronotype

Impact of evening blue light exposure timing on sleep, motor, and cognitive performance in young athletes with intermediate chronotype

The association between subjective sleep and stress in recreational athletes

Subjective sleep and stress are strongly associated, at multiple levels, and the current body of evidence highlights a bi-directional association. Previous research has highlighted that issues with sleep can impact on several stress responses. On the other side of this relationship, research has shown that stress-inducing factors can significantly impact sleep. The present study examined this association in a sample of recreational athletes, a population that has received little to no research focus to date Recreational athletes are defined as individuals who exercise &gt;4 hours per week for health, fitness, or unofficial competitions. Recreational athletes (n = 34) completed online measures of subjective sleep, subjective stress, subjective anxiety/depression and training load (PSQI, PSS, HADS and DALDA). Pearson correlations were carried out to examine associations between variables. There was a significant positive correlation between subjective sleep quality and subjective stress. There was a significant positive correlation between subjective stress and training load. There was a significant positive correlation between subjective sleep quality and training load. The positive associations between sleep, stress and training load are consistent with previous research, but the present study adds to the literature by highlighting the associations in recreational athletes. Recreational athletes should proactively manage their sleep and stress, as due to the bi-directional relationship, improving sleep may benefit stress, and improving stress may benefit sleep quality. This is also likely to benefit overall mood and reduce the likelihood of overtraining in recreational athletes.

O007 Menstrual cycle phase classification methods and the relationship with sleep, mood, and performance in elite female athletes

Abstract Introduction Female athletes are often excluded from sports-science research due to hormonal variations across the menstrual cycle. Effects of menstrual cycle phase on outcomes are inconclusive likely due to between-study variation in phase classification. We aimed to test if the relationship between menstrual cycle phase and sleep, mood, and performance differed depending on whether a continuous, 2-phase, 3-phase, or 4-phase approach was used to classify cycle phase. Methods Elite Australian Rules footballers reporting a regular menstrual cycle and not on contraception (N=18, M-age=24.9±5.1) were recruited. Over two weeks, they completed continuous sleep/wake monitoring via actigraphy and sleep diaries, daily self-reported sleep quality, mood, and performance ratings, and five sessions of cognitive (vigilant attention) and physical (ecological kicking task) performance testing. Using baseline self-report data, menstrual cycle phase for each day of the study was inferred using a continuous (percentage through the cycle), 2-phase (follicular, luteal), 3-phase (menses, mid-late follicular, luteal), and 4-phase (menses, mid-late follicular, early-mid luteal, pre-menses) model. Results No outcome was consistently predicted by all phase-models. Objective sleep efficiency was lower in menses according to the 3- and 4-phase models. Subjective mood and performance were higher in the mid-late follicular according to the 3-phase model. Discussion The relationships between menstrual cycle phase and sleep, mood, and performance depend on how menstrual cycle phases are classified. Discordant findings highlight the importance of methodological differences in athlete menstrual cycle research. The effects of the menstrual cycle phase need to be further studied using consistent and standardised classifications across studies.

The effectiveness of cryostimulation exposure on sleep and recovery in male athletes: Timing considerations.

The objectives of the study were (i) to evaluate the effects of whole-body cryostimulation (WBC) after training as an effective tool to improve sleep and recovery and (ii) to determine which exposure schedule for WBC (immediately after training vs. 1h before bedtime) is the most appropriate to improve sleep and recovery. Twenty-two well-trained male athletes or triathletes (23.1±3.5-years) were recruited in this controlled crossover protocol. Each participant completed the three experimental sessions, each composed of a running training session and one night of sleep analysis. Depending on the experimental condition, subjects were exposed-or not (CONT)-to WBC immediately after training (CRYO 7 p.m.) or 1h before going to bed (CRYO 10 p.m.). All participants were randomly assigned to each condition, spaced seven days apart. Sleep was monitored via actimetry, cerebral activity recordings, heart rate variability, body core temperature, and perceptual measurements. WBC after training did not modify subjective or objective sleep parameters compared to the control condition. However, WBC significantly improved cardiac parasympathetic activity. More specifically, it was more activated during the night following the CRYO 10 p.m. condition than in the other experimental conditions. Core body temperature (CBT) 1h after bedtime was the lowest in the CRYO 10 p.m. condition. This study confirmed the effectiveness of WBC as a recovery technique after intense evening training. We suggest that WBC may exhibit the most significant benefit on recovery if the session is performed 1h before bedtime, acting on subsequent parasympathetic activation and CBT drop.

Sleep and lucid dreaming in adolescent athletes and non-athletes

ABSTRACT During lucid dreaming (LD), dreamers are aware of experiencing a dream and may consciously influence its content. This study used an online questionnaire to investigate the LD frequency and applications in 193 adolescent athletes and non-athletes (17.40 ± 2.09 years; 46% athletes, 54% controls). Given the critical role that sleep plays in adolescent health, development, and performance, associations of LD with various sleep parameters were also explored. LD is prominent in adolescents (67.4% experienced it at least once, 30.0% once a month or more, 12.9% at least once a week), but similar in terms of frequency and uses between athletes and non-athletes. A higher proportion of those who practiced sports/dance during LD reported improved waking self-efficacy (57.1%) over sport performance (42.9%). There was no indication that chronotype preference may influence LD nor that LD may be detrimental to adolescent sleep. Athletes and controls had similar sleep durations, daytime sleepiness, and sleep disturbances frequency, but athletes reported higher sleep quality. Despite, on average, meeting the minimum sleep recommendation guidelines for their age, a relatively large proportion of adolescents did not attain sufficient sleep, particularly on weeknights (47.4% 14–17 years; 20.0% 18–21 years), suggesting that restricted sleep remains prevalent in adolescent populations.

Self-reported prevalence of sleep and mental health disorders in current and former athletes: a preliminary cross-sectional investigation of help-seeking behaviours

ABSTRACT Objective Athletes typically report a high prevalence of mental health issues and face significant barriers within the sporting environment that prevent help seeking. However, little is known about how retired or non-elite athletes engage with support; this lack of empirical data is even more pronounced in the case of sleep disorders. Method A cross-sectional online survey was completed by current and former athletes (n = 946; 495 women, 444 men, 7 non-binary) from all sports and competition levels in seven countries. Self-disclosed diagnosis history, help-seeking behaviours, and functional impact of sleep and mental health disorders were assessed. Results Comparable rates of mental health disorders were observed between current athletes (39.3%) and former athletes (42.0%), OR = 1.17, p = .337. Similarly, comparable rates of sleep disorders were observed between current athletes (25.4%) and former athletes (30.9%), OR = 1.20, p = .298. Men reported lower mental health disorder prevalence than women (32.9% vs. 46.3%), OR = 1.82, p < .001. Gender differences were also evident in the types of disorders reported. For sleep disorders, men were less likely to seek assistance from a psychologist than women (8.4% vs. 26.2%), p < .001,φ = 0.23. No differences in help seeking avenues for mental health were observed. Comorbid disorders had more frequent functional impairment than individual sleep or mental health disorders. Conclusions These self-reported prevalence estimates have significance for practitioners and clinicians. Data indicates the most prevalent types of disorders in these populations and where athletes typically engage in support. Evaluating the time course of these disorders can inform health promotion strategies and treatment methods for practitioners and support staff.

The Effect of Sleep on the Health and Dietary Behaviours of GAA Athletes.

Decreased sleep quality and duration is associated with an array of negative health outcomes. Evidence suggests athletes are susceptible to sleep inadequacies that may in turn affect their health and dietary behaviours. This study aimed to explore the sleep profile of both male and female Gaelic games players, at an elite and sub-elite level and compare how poor sleep relates to subjective health complaints and food cravings. One hundred and seventy Gaelic games players completed the Pittsburgh Sleep Quality Index (PSQI), Subjective Health Complaints Inventory (SHC) and Food Cravings Questionnaire-Trait-Reduced (FCQ-T-r). Participants were categorised into two groups: poor sleepers (PSQI ≥ 5) and good sleepers (PSQI < 5). Outcome measures of health and food cravings were analysed across the groups, Mann-Whitney U tests were used to assess differences, and Spearman's rank-order correlations were used to determine relationships between variables. Sixty-seven % of athletes were categorised as poor sleepers. There were no significant differences in PSQI scores across genders (p = 0.088) or playing level (p = 0.072). Poor sleepers experienced significantly increased SHC (p < 0.001) and female athletes had significantly more SHC compared to males (p < 0.001). Female athletes experienced more food cravings than males (p = 0.013). However, there were no significant differences in food cravings between good and poor sleepers (p = 0.104). The findings suggest a high prevalence of poor sleepers amongst GAA athletes. Furthermore, a significant relationship exists between poor sleep and health complaints with females at a higher risk of worsened health complaints and higher food cravings. Sleep screening and education interventions to enhance sleep in GAA athletes are advocated.

Routine, Routine, Routine: Sleep Regularity and its Association with Sleep Metrics in Professional Rugby Union Athletes

BackgroundMaintaining a consistent sleep and wake time is often reported as a key component of circadian rhythmicity and quality sleep. However, the impact of sleep onset and offset time variability on overall sleep outcomes are underreported in elite athlete populations. This study investigated the relationship between sleep onset and offset time variability using the sleep regularity index (SRI) and measures of sleep and well-being in professional rugby union athletes. Twenty-three professional male rugby union athletes (mean ± SD, age: 23 ± 3 y) underwent sleep monitoring via wrist actigraphy for three weeks during a pre-season phase of training and completed a daily wellness questionnaire. Median SRI was calculated and used to stratify the trainees into two quantile groups: >76.4 SRI (Regular, n = 11) and < 76.4 SRI (Irregular, n = 12).ResultsThe regular sleep group showed significantly longer total sleep duration (p = 0.02, d = 0.97) compared to the irregular group (7:42 ± 0:29 vs. 7:18 ± 0:20 h: min per night, respectively). Furthermore, while not statistically significant, the regular sleep group showed greater sleep efficiency and less wake episodes compared to irregular sleepers, as demonstrated by moderate effect sizes (d = 0.71 and 0.69, respectively).ConclusionsThe results from this study indicate that minimizing variability in sleep onset and offset time is beneficial for increasing sleep duration and may improve sleep efficiency during pre-season training in elite male rugby union athletes. This study provides evidence for the importance of including sleep-wake routines as a key component of sleep education interventions.

0345 The Moderating Effect of Screen Time on the Relationship Between Physical Activity and Sleep in Young Athletes

0345 The Moderating Effect of Screen Time on the Relationship Between Physical Activity and Sleep in Young Athletes

Athletic retirement: factors contributing to sleep and mental health problems.

The aim of this investigation was to determine which factors were associated with symptoms of sleep and mental health disorders in former athletes. Former athletes (N = 173, 50% women) who retired from any competition level within the last 20 years participated in an online survey. The survey consisted of the Athlete Sleep Screening Questionnaire (ASSQ), Personal Wellbeing Index-Adult (PWI-A), Center for Epidemiologic Studies Depression Scale-Revised (CESD-R), and Generalised Anxiety Disorder Assessment (GAD-7). Binary logistic regressions revealed that both age (OR = 0.95 [95% CI:0.92, 0.99], p = 0.007) and gender (OR = 2.28 [95% CI:1.09, 4.79], p = 0.029) were associated with anxiety, with women and younger ex-athletes presenting greater risk of anxiety symptoms. Higher body mass was associated with an increased risk for sleep difficulty (OR = 1.13 [95% CI:1.03, 1.23], p = 0.008), sleep disordered breathing (OR = 1.20 [95% CI:1.10, 1.30], p < 0.001), and compromised wellbeing (OR = 0.89 [95% CI:0.83, 0.96], p = 0.001). Athletes who subjectively placed a lower priority on sport while competing presented greater risk of sleep disordered breathing (OR = 2.00[95% CI:1.05, 3.80], p = 0.035). No associations between recency retirement and any outcome measures were observed. Findings suggest potential predictive factors for difficulty transitioning out of sport. Future longitudinal research should consider the interplay between sport re-engagement and the incidence and chronicity of sleep and mental health disorders.

The prevalence of menstrual cycle symptoms and their association with mental health and sleep in German exercising women and athletes

ObjectivesMenstrual cycle symptoms are very common in female athletes. However, more evidence about the association between menstrual cycle characteristics and symptoms with sleep and mental health in athletes needs to be gathered. This study aimed to examine this association in German exercising women and athletes. Design322 women (mean age: 23.13 ± 4.36) participated in a cross-sectional study. The survey included the Menstrual Symptom index (MSi), the Depression Anxiety Stress Scales (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), and the Athletes Sleep Behavior Questionnaire (ASBQ). Additionally, demographic, sport-specific data and further menstrual cycle characteristics were examined. Multiple regression models were used for the statistical analyses. ResultsThe MSi score demonstrated a highly significant (p < 0.001) positive association with Depression, Anxiety, Stress, PSQI, and ASBQ. The most prevalent menstrual cycle symptoms were cravings/increased appetite, mood changes/anxiety, and tiredness/fatigue. A difference between individual and team sport athletes could not be found. Moreover, there was no association between the constructs and menses length, irregularity, or heaviness of bleeding. ConclusionsMenstrual cycle symptoms occur very frequently in female athletes. In this study, they were related to mental health, sleep quality, and sleep behavior, regardless of the cycle phase. This evidence demonstrates the relevance of considering the menstrual cycle and menstrual symptoms in future studies with female athletes and in sport practice.

Impact of sleep–wake patterns and daily rhythms including training on midsleep time in adolescent basketball players during the COVID-19 pandemic

ObjectivesThe coronavirus disease (COVID-19) had a major impact on sleep and training behavior in adolescent athletes. A crucial sleep parameter is midsleep time, which illustrates the midpoint between sleep onset and offset. The aim of this investigation was to examine the impact of chronotype, age, sex, pandemic phase, weekend, and training habits on midsleep time. The sample consisted of German elite adolescent basketball athletes (N = 91, 15.75 ± 1.15 years, female = 39.46%).MethodData were collected through a 10-day subjective monitoring program during three different pandemic phases, with more severe restrictions in phase 1. In total, 1146 measurement points were analyzed. A linear mixed model approach was used for the evaluation.ResultsA negative linear association between chronotype and midsleep time was revealed. A negative effect was identified for phases 2 and 3. The weekend parameter showed a positive effect, which may illustrate the occurrence of social jetlag. The main finding of this investigation is that a morning chronotype distribution was associated with earlier midsleep timing throughout the entire survey period.ConclusionThe results acknowledge that chronotype is one of the main influencing parameters for midsleep time. The study represents a useful contribution to the research of chronotype and sleep behavior in athletes, with a focus on the major impact of the COVID-19 pandemic.

The validity and reliability of the Persian version of the Athlete Sleep Screening Questionnaire.

Sleep as a biological phenomenon is effective in the performance and recovery of athletes. Questionnaires can be used as a cost-effective initial assessment tool for sleep. The Athlete Sleep Screening Questionnaire (ASSQ) demonstrated a clinically valid instrument for screening relevant sleep issues in athletic populations. Due to the lack of validated tools for adequate screening for sleep difficulties in the Iranian athlete population, the present study was conducted to evaluate the validity and reliability of the Persian version of the ASSQ. The translation process was performed using instructions by Beaton et al. Content validity was assessed by a panel of experts. Exploratory and confirmatory factor analysis was performed for two 5-item sleep difficulty scores (SDS) and a 4-item chronotype score. Internal consistency based on Cronbach's alpha and McDonald's omega and stability reliability were used to evaluate reliability. The ASSQ achieved conceptual and semantic equivalence with the original scale. The item-level content validity index (I-CVI) of each item ranged from 0.87 to 1, and the averaging scale-level CVI/average was 0.95. In factor analysis, one factor for SDS and one factor for chronotype score were identified and confirmed. The internal consistency of the SDS scale (α =0.77, Ω =0.83) and chronotype (α =0.74, Ω =0.77) was acceptable. Stability reliability was confirmed for SDS scale (intra-class correlation [ICC] =0.87) and for chronotype (ICC = 0.83). Persian ASSQ has acceptable psychometric measurement properties as a screening tool to assess sleep in Iranian athletes.

Menstrual-Cycle Symptoms and Sleep Characteristics in Elite Soccer Players.

To determine whether menstrual-cycle symptoms are associated with sleep in elite female athletes. Sleep was assessed for a minimum of 25 nights (range = 25-31) using activity monitoring and sleep diaries. Menstrual-cycle symptoms were collected over the same duration in 12 elite female professional soccer players. Generalized estimating equations were used to examine the relationship between the day of the menstrual cycle (from day 1) and total menstrual-cycle symptoms on sleep characteristics. There was a significant relationship between sleep duration and the day of the menstrual cycle (P = .042) and total symptoms reported that day (P < .001), with sleep duration increasing by 21minutes for every symptom reported. There was a negative day × symptom interaction on sleep duration (P = .004), indicating that with increased symptoms, the day of the menstrual cycle had a smaller relationship with sleep duration. Sleep efficiency (P = .950), wake after sleep onset (P = .217), and subjective sleep quality (P = .080) were not related to the day of the menstrual cycle. The total symptoms reported had no relationship with sleep efficiency (P = .220), subjective sleep quality (P = .502), or sleep latency (P = .740) but did significantly relate to wake after sleep onset (P < .001), with a significant day × symptom interaction (P < .001). Sleep duration increased from day 1 of the menstrual cycle and was associated with the number of menstrual-cycle symptoms reported. All other sleep metrics remained unchanged; however, total symptoms reported were related to wake after sleep onset. Monitoring and managing menstrual-cycle symptoms should be encouraged due to a potential relationship with sleep characteristics.

Associations of Training and Academic Stress with Sleep in Dual-Career Collegiate Badminton Athletes: A Preliminary Study.

Poor sleep negatively impacts cognitive and physical functioning and affects athletic and academic achievement. "Dual-career" athletes emphasize the pursuit of academic excellence along with athletic performance. The study aimed to assess sleep characteristics and sleep quality in dual-career collegiate badminton athletes. Furthermore, the study explored associations between training and academic stress and sleep, providing a theoretical basis for better training and sleep programs for dual-career athletes. In this study, 15 dual-career collegiate badminton athletes were recruited, and 12 subjects (male n = 8, female n = 4, mean age 20.3 ± 1.7) completed the questionnaire. Repeated measurements were taken monthly in the spring semester from March to August 2021. The questionnaire assessed sleep quality and daytime sleepiness by the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Score (ESS). Moreover, we collected average training, study time per week, and monthly sports competitions and academic tests to quantify participants' training and academic stress. An average of 36.1% of dual-career athletes reported poor sleep and 25.0% had excessive daytime sleepiness. Overall, a significant positive correlation existed between PSQI scores and weekly study hours (r = 0.308, p = 0.009). Significant positive correlations were found between the four stressors and PSQI (August: r = 0.868, p < 0.001; July: r = 0.573, p = 0.026) or ESS scores (March: r = -0.678, p = 0.015; August: r = 0.598, p = 0.040) for specific months. Hierarchical linear modeling (HLM) analysis identified that lower study and training hours predict better sleep quality. Dual-career collegiate badminton athletes had a higher prevalence of poor sleep and daytime sleepiness, and daytime sleepiness did not result in better sleep quality; study and training hours had the greatest effect on the sleep quality of dual-career collegiate badminton athletes.

Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review.

This narrative review explores the impact of sleep and nutrition on injury risk in adolescent athletes. Sleep is viewed as essential to the recuperation process and is distinguished as an active participant in recovery through its involvement in growth, repair, regeneration, and immunity. Furthermore, the literature has shown that the sleep of athletes impacts elements of athletic performance including both physical and cognitive performance, recovery, injury risk, and mental well-being. For sleep to have a restorative effect on the body, it must meet an individual's sleep needs whilst also lasting for an adequate duration and being of adequate quality, which is age-dependent. The literature has suggested that athletes have increased sleep needs compared to those of the general population and thus the standard recommendations may not be sufficient for athletic populations. Therefore, a more individualised approach accounting for overall sleep health may be more appropriate for addressing sleep needs in individuals including athletes. The literature has demonstrated that adolescent athletes achieve, on average, ~6.3 h of sleep, demonstrating a discrepancy between sleep recommendations (8-10 h) and actual sleep achieved. Sleep-wake cycles undergo development during adolescence whereby adaptation occurs in sleep regulation during this phase. These adaptations increase sleep pressure tolerance and are driven by the maturation of physiological, psychological, and cognitive functioning along with delays in circadian rhythmicity, thus creating an environment for inadequate sleep during adolescence. As such, the adolescent period is a phase of rapid growth and maturation that presents multiple challenges to both sleep and nutrition; consequently, this places a significant burden on an adolescent athletes' ability to recover, thus increasing the likelihood of injury. Therefore, this article aims to provide a comprehensive review of the available literature on the importance of sleep and nutrition interactions in injury risk in adolescent athletes. Furthermore, it provides foundations for informing further investigations exploring the relation of sleep and nutrition interactions to recovery during adolescence.

A practical guide to improve sleep and performance in athletes

Sleep is vital for optimal mental and physical health. For athletes, optimizing sleep is becoming a popular strategy to enhance athletic performance. Athletes often complain of sleep problems including insufficient sleep and insomnia symptoms and are also at a higher risk for sleep disordered breathing. Sleep disorders and insufficient sleep can contribute to excessive sleepiness, daytime dysfunction, and performance problems. In contrast, better sleep provides benefits for physical health and athletic performance. For athletes, multiple factors can contribute to insufficient sleep. Sport-specific factors include frequent travel across time zones, competition and training schedules, high training loads, and sleeping in an unfamiliar environment. Non-sport-related factors include work, social, and family commitments; attitudes and sleeping beliefs; individual characteristics, such as chronotype or preference for morning or evening; and lifestyle choices. Fortunately, there are strategies that can be implemented to improve sleep in athletes including (a) education and emphasis on the importance of sleep; (b) sleep screening; providing extra sleep opportunities like (c) banking sleep and (d) napping; improving sleep hygiene like (e) proper light exposure; (f) a good pre-sleep routine; (g) a conducive sleep environment; (h) a strategy for supplementation; (i) utilizing circadian timing adjustments; and (j) jet lag management. Increased recognition of the importance of sleep from sport professionals and screening for sleep disorders and disturbances will be key for future athlete health, well-being, and performance.