Sleep/wake behaviour of competitive adolescent athletes in New Zealand: insight into the impact of early morning training

ObjectiveSleep plays a crucial role in the health, wellbeing, and development of adolescent athletes' sporting and academic lives. This study aimed to monitor the sleep/wake behaviour of adolescent athletes who have frequent early morning training sessions.Methods13 swimmers (mean age 14.8 ± 1.4; 46% male) and 19 rowers (mean age 16.5 ± 1.1; all male) wore actigraphs and completed sleep diaries over a 2-week training period. Diaries included the Hooper Index and a question regarding device use before bed. Participants also completed chronotype questionnaires. Nights of the week were categorised as taking place before “morning training”, “mornings off”, “weekend mornings off”, and “weekend morning training”. Actigraphy and sleep diary variables were compared for different nights of the week.ResultsAll athletes were classified as “morning type”. Average sleep duration across the study was 7h55 (±1h33). Median sleep duration was significantly shorter on nights before weekday morning training (6h44) compared to weekday mornings off (8h45). This was due to an earlier wake time (04:51) while bedtime remained constant (∼22:15). Athletes went to bed later, woke later and slept for longer on nights before weekend mornings off compared to weekday nights.ConclusionsEarly morning training advanced the wake times of the athletes while bedtime remained constant. This shortened sleep below age recommended durations on the nights before early morning training during the week. These findings suggest that weekly average sleep duration does not accurately reflect athletes' nightly sleep given the large variability across a training week.     

Sleep and growth hormone secretion in women athletes

Six women athletes underwent 24 h multiple sampling studies with electroencephalographic monitoring of sleep for the assessment of growth hormone secretion and sleep pattern. The athletes tended to have more stage 4 sleep, less REM activity and a similar REM density compared to 5 normal women. The nocturnal secretion of growth hormone was elevated in the first hour following sleep onset in the athletes but was otherwise not statistically different from that of the controls. As all but one of the women athletes had exercise-related menstrual irregularities, the findings reported may be associated with exercise amenorrhea.     

A review of sleep disturbance in adults prescribed medications for opioid use disorder: potential treatment targets for a highly prevalent,chronic problem

BackgroundSleep disturbance in individuals prescribed medications for opioid use disorder (MOUD) is common, though the nature and progression of such concerns are difficult to discern due to differing terminology and assessment type between studies. Accurately identifying and treating sleep problems in this growing population has the potential to improve comorbidity and other MOUD outcomes.ObjectiveThe aim of the present review is to provide an overview of sleep in individuals stabilized on MOUD. Specifically, the following aspects of sleep were reviewed: 1) prevalence of clinically significant sleep disturbance; 2) sleep disturbance compared to findings in those not prescribed MOUD; 3) correlates of sleep disturbance; 4) self-reported sleep compared to objective measures.MethodStudies were identified using 6 large databases and included if they contained at least one measure of sleep during MOUD treatment as usual. Studies were excluded if they were case studies, not available in English, or participants were in withdrawal or detoxification.ResultsForty-two studies were included and categorized by type of sleep assessment: validated self-report questionnaire; provider-assessed; polysomnography; multi-method. Correlates were included if they were statistically significant (generally p < 0.05).ConclusionsThis review indicates there is a high prevalence of chronic self-reported sleep disturbance (eg, insomnia symptoms) in this population and suggests quantitative sleep parameters (eg, total sleep time) and respiratory problems during sleep are worse than in the general population. These sleep problems are correlated with psychiatric comorbidity and other substance use. Other correlates (eg, sociodemographic factors) require further study to draw definitive conclusions.     

Cross-sectional associations between objectively measured sleep characteristics and body mass index in European children and adolescents

BackgroundShort sleep duration has been found to be associated with a higher risk for overweight and obesity. However, previous studies have mainly relied on subjective measures of sleep duration and other sleep characteristics (eg quality, timing) have often been neglected. Therefore, we aimed to investigate associations between several, mainly objectively measured sleep characteristics and body mass index (BMI). Further, we aimed to identify distinct sleep subtypes based on these sleep characteristics and to study their association with BMI.MethodsChildren aged 9–16 years participating in the European I.Family study (N = 559, 51.2% girls, 32.9% overweight/obese) wore an accelerometer for one week on their wrist and recorded their daily wake-up and lights-off times in a sleep diary. Information on sleep duration, sleep efficiency and sleep latency was derived. To identify sleep subtypes, we conducted a latent class analysis using all five sleep variables. Associations between single sleep variables, sleep subtype and age- and sex-specific BMI z-score were investigated using linear mixed-effects regression models to accommodate clustering among siblings.ResultsNo statistically significant associations were observed between the single sleep variables (sleep duration, sleep efficiency, sleep latency, wake-up and lights-off times) and BMI z-score. Four sleep subtypes were identified and children were assigned to one of the groups based on their highest probability for latent group membership: “early birds” (17.5% of the sample), “short sleep duration” (14.7%), “optimal sleep” (47.6%) and “poor sleep quality” (20.2%). Sleep subtype was not associated with BMI z-score.ConclusionsUsing objective sleep data, we did not find convincing evidence for associations between the sleep variables under investigation and BMI.     

Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea,insomnia and sleep quality in cardiac patients: a meta-analysis

BackgroundA number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used.ObjectiveTo identify tools that are practical to use in the clinical environment and have high diagnostic accuracy.MethodsWe systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD).ResultsOf the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45–0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87–0.96) but poor specificity at standard cut-off criteria.ConclusionThere are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.     

Premorbid predictors of postconcussion symptoms in collegiate athletes

Introduction: In recent years, the sports community has been faced with the challenge of determining when it is safe to return concussed athletes to play. Given that return-to-play decisions are partially dependent upon athletes’ endorsement of symptoms, better understanding what factors contribute to the presence of symptoms following concussion is crucial. The purpose of the present study was to better characterize the symptoms that athletes endorse at baseline and to determine what impact various premorbid (or preinjury) characteristics have on the presence and severity of postconcussion symptoms in the acute injury period following concussion. Method: Two groups of participants with similar ages and levels of education were examined: athletes at baseline (N = 702) and postconcussion (N = 55). Athletes were administered a comprehensive battery of neuropsychological tests, consisting of neurocognitive and neurobehavioral measures, at both time periods. The main outcome measure was the Post-Concussion Symptoms Scale (PCSS). A factor analysis was conducted on the participants’ baseline PCSS data to determine the factor structure of the PCSS, and separate logistic regression analyses were conducted that examined the baseline PCSS symptom clusters (derived from the factor analysis), demographic variables, and baseline neurocognitive variables as predictors of dichotomized postconcussion PCSS total scores (i.e., low versus high symptom reporting following concussion). Results: Four distinct clusters emerged from the factor analysis measuring cognitive, physical, affective, and sleep symptoms. Logistic regression results indicated that the physical and affective symptom clusters at baseline reliably predicted athletes’ postconcussion symptom group, as did sex and the neurocognitive composite score. Conclusions: These findings show that certain baseline characteristics of athletes confer risk for greater symptomatology postconcussion. Knowledge of these risk factors can assist the management and treatment of sports-related concussion.     

Des gènes circadiens à la sémiologie psychiatrique

Psychiatric disorders, such as bipolar disorder and autism spectrum disorders, are highly inherited. Many studies have reported a higher relative risk of developing these disorders than in general population when there is already an affected individual in the family. The heritability of these disorders varies from 70% to 90%. However, the identification of susceptibility genes to these disorders remains difficult, due to their high clinical and etiological heterogeneity. The combination of endophenotypes and environmental factors in genetic studies shed new lights on the biological pathways that are affected in subjects with psychiatric disorders. In particular, sleep disorders and circadian rhythm abnormalities have been frequently reported in these two disorders. Here, we summarize several associations between sleep disorders or circadian rhythm abnormalities and single nucleotide polymorphisms in circadian genes and in genes encoding enzymes of the melatonin synthesis pathway. In particular, we describe studies reporting that polymorphisms in the circadian genes TIMELESS and RORA may increase the risk of developing bipolar disorder by altering circadian rhythms. In addition, we describe studies showing that genetic variations in acetylserotonin methyltransferase (ASMT) identified in patients with psychiatric disorders affect its enzymatic activity. This approach may have therapeutic benefits in bipolar disorders, through the assessment of sleep and circadian rhythms, and a personal management of these alterations.     

What keeps low-SES children from sleeping well: the role of presleep worries and sleep environment

ObjectivesChildren in families of low socioeconomic status (SES) have been found to have poor sleep, yet the reasons for this finding are unclear. Two possible mediators, presleep worries and home environment conditions, were investigated as indirect pathways between SES and children's sleep.Participants/MethodsThe participants consisted of 271 children (M (age) = 11.33 years; standard deviation (SD) = 7.74 months) from families varying in SES as indexed by the income-to-needs ratio. Sleep was assessed with actigraphy (sleep minutes, night waking duration, and variability in sleep schedule) and child self-reported sleep/wake problems (eg, oversleeping and trouble falling asleep) and sleepiness (eg, sleeping in class and falling asleep while doing homework). Presleep worries and home environment conditions were assessed with questionnaires.ResultsLower SES was associated with more subjective sleep/wake problems and daytime sleepiness, and increased exposure to disruptive sleep conditions and greater presleep worries were mediators of these associations. In addition, environmental conditions served as an intervening variable linking SES to variability in an actigraphy-derived sleep schedule, and, similarly, presleep worry was an intervening variable linking SES to actigraphy-based night waking duration. Across sleep parameters, the model explained 5–29% of variance.ConclusionsSleep environment and psychological factors are associated with socioeconomic disparities, which affect children's sleep.     

Structured assessment of violence risk in schizophrenia and other psychiatric disorders: a systematic review of the validity, reliability, and item content of 10 available instruments

Objectives: To undertake a systematic review on structured violence risk assessment tools in individuals with schizophrenia. Methods: A systematic search was conducted from 1990 to 2011 to identify violence risk assessment tools and studies examining their predictive validity. Item content of the identified instruments was analyzed, and areas under the curve (AUC) from the studies were extracted. In addition, an 11-item checklist was developed to assess the utility and psychometric properties of these tools. Results: Ten risk assessment tools designed to predict community violence in psychiatric patients were identified, but only 2 studies reporting predictive validity estimates in patients with schizophrenia were found (median AUC = 0.69; interquartile range = 0.60–0.77). When inclusion criteria was broadened to include studies measuring accuracy for any diagnostic group, mixed evidence of predictive validity was found, with median AUCs ranging from 0.62 to 0.85 depending on the population. Item content included mostly clinical, sociodemographic, and criminal history factors. As only 1 tool included a neurobiological item, a structured review of brain-based and cognitive risk factors for violence was included, and 3 clusters (neurocognitive ability, neurocognitive awareness, and attitudinal cognition) were identified. Conclusions: While a number of violence risk assessment tools exist that can be used to predict the likelihood of community violence in psychiatric patients, there is currently little direct evidence for their utility in individuals with schizophrenia. In addition, there is large variation in item content between instruments, and further research is necessary to determine whether the inclusion of alternative factors could improve risk assessment.     

Pre-sleep arousal and sleep quality during the COVID-19 lockdown in Italy

ObjectiveThe COVID-19 pandemic has strongly affected daily habits and psychological wellbeing, and many studies point to large modifications in several sleep and sleep-related domains. Nevertheless, pre-sleep arousal during the pandemic has been substantially overlooked. Since hyperarousal represents one of the main factors for the development and the perpetuation of chronic insomnia disorder, the assessment of variables associated with high levels of pre-sleep arousal during the pandemic is clinically relevant. The study aimed to assess the prevalence and predictors of perceived sleep quality and pre-sleep arousal in an Italian sample during the COVID-19 lockdown.MethodsWe used an online survey to collect self-reported sociodemographic, environmental, clinical, sleep, and sleep-related data. Our final sample included 761 participants.ResultsBeyond a high frequency of poor sleep quality, depressive and stress symptoms, our results show that almost half of the sample suffered from clinically relevant levels of at least one component (ie, cognitive, somatic) of pre-sleep arousal. Subjects with greater pre-sleep arousal exhibited poorer sleep quality. Also, sleep quality was strongly associated with somatic and cognitive pre-sleep arousal. Regarding the predictors of sleep and sleep-related measures, depressive and event-related stress symptoms were the main factors associated with both poor sleep quality and pre-sleep arousal components. Moreover, specific sociodemographic and environmental variables were uniquely related to sleep quality, cognitive or somatic pre-sleep arousal.ConclusionsThese findings suggest that the assessment of specific sleep-related factors (ie, pre-sleep arousal), together with more global measures of sleep quality, may be crucial to depict the complex impact of the pandemic on sleep, and to help prevent and counteract the spread of insomnia symptoms.     

EEG markers of early Alzheimer's disease in computer selected tonic REM sleep

All night sleep/wake EEGs were examined for diagnostic sensitive to early Alzheimer's diesease (AD) using computer automated techniques. Thirty-nine AD patients and 43 normal controls underwent 9 h of EEG recording in the sleep laboratory. All-night EEGs were screened for ideal, low artifact tonic REM sleep using autoregressive and power spectral techniques. The frequency spectral during tonic REM sleep revealed a significant shift towards slower wave formeds in AD vs. control subjects. Beta (> 12 Hz0 was reduced adn theta and delta (2–8 Hz) increased in AD compared to control groups. This frequency shift was demonstrated by several analytic techniques, including binned spectral energies and unique zones in the frequency spectra. Discriminant analyses using optimal binned EEG variables correctly classified 74% of AD and 98% of control subjects, and unique zone scores correctly classified 92% of AD and 95% of control subjects, indicating that these sleep EEG changes are apparently predictive of AD status.     

Sleep following sport-related concussions

ObjectivesSleep and vigilance disorders are among the most commonly reported symptoms following a concussion. The aim of the study was thus to investigate the effects of sport-related concussions on subjective and objective sleep quality.MethodsTen concussed athletes and 11 non-concussed athletes were included. Concussed athletes had a history of 4.6 ± 2.1 concussions with at least one concussion during the last year. They were recorded for two consecutive nights in the laboratory and during a 10-min period of wakefulness. They completed questionnaires related to sleep quality and symptoms as well as neuropsychological tests and the CogSport computer battery.ResultsConcussed athletes reported more symptoms and worse sleep quality than control athletes, but no between-group differences were found on polysomnographic variables or on REM and NREM sleep quantitative EEG variables. However, concussed athletes showed significantly more delta activity and less alpha activity during wakefulness than did control athletes.ConclusionIn spite of the subjective complaints in sleep quality of concussed athletes, no change was observed in objective sleep characteristics. However, concussions were associated with an increase in delta and a reduction in alpha power in the waking EEG. Sport-related concussions are thus associated with wakefulness problems rather than sleep disturbances.     

Effects of sleep disturbance on functional and physiological outcomes in collegiate athletes: A scoping review

ObjectiveTo investigate sleep disturbances and circadian timing changes on functional and physiological correlates specifically in collegiate athletes.DesignScoping Review.Data sourcesPubMed MEDLINE, SPORT-Discus, CINAHL, ERIC ProQuest, Web of Science.Eligibility criteriaArticles in English, studying college athletes 18–24 years old, employing a sleep measurement, and a comparison measure of cognitive, academic performance, athletic performance, injury rate, biomarkers and physiological measures, or imaging.ResultsThirty articles met inclusion criteria. There was wide range of study design, sport studied, modality used to measure sleep, frequency of sleep measurements, and functional and physiological outcomes across studies. Sleep measurements varied greatly in frequency of data collection and type of measurement tool, with the majority using a sleep questionnaire. While all variables of interest were represented within the review, most had a focus on cognitive performance, athletic performance, or injury rate as a function of sleep. Studies using biomarkers and physiological measures or imaging were largely underrepresented. Few studies used biomarkers and physiological measures, and one study used imaging measures. Most studies in this review reported negative cognitive and academic outcomes with worse sleep quality and quantity.ConclusionsSleep is critical to maintaining optimal health and collegiate athletes represent a unique population given their unique time constraints, stresses, and sleep behaviors. Findings on athletic performance and injury rate as a function of sleep were mixed. Employing standardized objective methodologies in future work will allow for better understanding of the influence of sleep on the overall well-being and performance of college athletes.     

Update on school-based sleep education programs: how far have we come and what has Australia contributed to the field?

ObjectiveSchool-based sleep education programs help to promote sleep health information to many children and adolescents. The aim of this systematic review was to identify and describe school-based sleep education programs, to update previous reviews and identify recent advances and improvements in this field worldwide.MethodsFour electronic databases were searched. Eligibility criteria included children aged 5–18 years, sleep education intervention conducted in a school setting, and at least one pre-post-measure of a sleep variable.ResultsA total of 32 articles met eligibility criteria with Australian sleep researchers constituting ∼ one quarter of these studies. Studies dated from 2007 to 2020 with sample sizes ranging from 9 to 3713 students. The majority of participants were high school students and predominantly female. Education programs generally took 4–6 weeks and content was consistent across studies. Overall, exposure to sleep education increased sleep knowledge, however changes in sleep behaviour variables and secondary outcome variables (eg, mental health; cognitive function; sleep hygiene practices) presented varied results. Studies conducted since 2015 were more likely to be randomised controlled trials and to include more interactive, online designs utilising innovative content such as mindfulness.ConclusionsAn exponential growth in school sleep education programs was identified since 2016. Future studies should consider utilising objective sleep measures, longer-term follow-ups, innovative delivery methods, and stronger attempts at implementing a knowledge-to-action approach for more sustainable programs.     

Validity of affect measurements in evaluating symptom reporting in athletes

Identifying factors that improve the assessment of athletes' psychological functioning is imperative to make proper return-to-play decisions following concussion. Prior research indicates that an individual's affect is related to symptom reporting. The present study examines two novel methods of affect assessment in college athletes at baseline participating in a sports-concussion management program. A total of 256 athletes completed a neuropsychological baseline battery with measurements of psychological symptoms (BDI-Fast Screen, Post-Concussion Symptom Scale, and ImPact Total Symptom Score) and a measure of affective memory bias (the Affective Verbal Learning Test; AVLT). Examiners completed an observation-based rating of affect. Multivariate analysis of variance and χ2 analyses were conducted to examine the effect of affect on symptom reports. Examiners' Affect Ratings were predictive of broad symptom reporting, while the performance based index of affect (Affective Verbal Learning Test, AVLT) was more predictive of depressive symptoms. These findings suggest that performance on the AVLT may be a useful indicator of self-reported depression in a collegiate athlete sample. Additionally, these results demonstrate that examiners' behavioral assessments of affect are important in the assessment of psychological functioning in athletes. Continued work should focus on developing objective measures that are sensitive and valid for the evaluation of outcomes from concussion.     

The relationship between subjective happiness and sleep problems in Japanese adolescents

ObjectivesLow sleep quality in adolescents is an important public health concern, as it relates to both their current and future physical and mental health. Furthermore, subjective happiness is also often regarded as a major life goal. Although Japan is an economically powerful country, the reported levels of subjective happiness among Japanese adolescents is low. Thus, this study aims to examine the relationship between subjective happiness and sleep problems in Japanese adolescents.MethodsWe conducted a nationally representative cross-sectional study of adolescents enrolled in junior and senior high schools in Japan. We used a questionnaire to determine the prevalence of sleep problems (eg, insomnia, short sleep duration (SSD) and poor sleep quality) and to evaluate the participants' reported levels of subjective happiness. Multivariable logistic regression analyses were used to examine the associations between subjective happiness and sleep problems. Adjusted variables were basic demographic characteristics (eg, gender and school grade), lifestyle behaviors, and mental health status.ResultsData from 64,329 students were analyzed (age range 12–18 years, mean age 15.7 years, 53.9% male). The results indicated that reported levels of subjective happiness were strongly associated with the prevalence of sleep problems. Linear relationships can be observed between sleep problems and subjective happiness scores. The multivariable logistic regression analysis showed that dose–response association of subjective happiness score was observed with all three sleep problems.ConclusionsDue to these findings, we recommend that policy makers and school officials educate adolescents on the importance of both subjective happiness and good sleep hygiene.     

Sleep ecology and sleep patterns among infants and toddlers: a cross-cultural comparison between the Arab and Jewish societies in Israel

ObjectiveThe purpose of this study was to examine differences in reported sleep patterns (eg, sleep onset, nocturnal sleep duration, nocturnal wakefulness) and aspects of sleep ecology (eg, sleeping arrangements), in a sample of young children, between two cultural groups in Israel: Arab and Jewish.MethodMothers of 497 healthy, typically developing infants and toddlers, ranging in age from 3 to 36 months, participated in the study: 253 of the mothers were Arab and 244 were Jewish. The mothers were asked to complete the Brief Infant Sleep Questionnaire – a well-validated questionnaire of early childhood sleep patterns. Mothers also completed a demographic questionnaire.ResultsSubstantial cross-cultural differences in reported sleep patterns were found between Arab and Jewish children. Arab children, compared to Jewish children, had later bedtimes, shorter overall night duration, and longer periods of nocturnal wakefulness. Furthermore, Arab mothers perceived their children's sleep as more problematic than did Jewish mothers. Arab families were more likely to room-share, with higher rates of maternal involvement at bedtime. Sleep onset played an important role in predicting nighttime sleep in Arab children; in the Jewish group, nighttime sleep was linked to parental proximity and assistance at bedtime.ConclusionThe findings emphasize the importance of deepening the understanding regarding the role of culture in infants sleep patterns. This will enable health care professionals to attune their interventions to the specific cultural context. Further studies are needed to understand the basis and impacts of these cultural differences.     

The relationship between body composition and sleep architecture in athletes

Sleep is essential for athletes to recover physical fitness. It has been suggested that sleep is affected by muscle volume. Compared to female athletes, male athletes with greater muscle volume may have inferior objective sleep quality. This study aimed to assess the relationship between body composition and objective sleep parameters in male and female athletes. The body composition of 17 male and 19 female collegiate athletes were measured, and they underwent overnight home sleep monitoring. Compared with female athletes, male athletes had more muscle mass and less fat mass. Moreover, male athletes had lower sleep efficiency, longer sleep onset latency, higher arousal index, less rapid eye movement (REM) sleep, and lower percentage of slow-wave (N3) sleep in the initial non-REM sleep. Furthermore, the percentage of muscle mass was inversely related, whereas fat mass or percentage of fat mass was directly related to the percentage of N3 sleep in the initial non-REM sleep. Overall, there were no significant association between sex and sleep parameters. However, a significant correlation was found within both subgroups. Objective sleep quality was suggested to be worse in male athletes than in female athletes, implying that sleep architecture may be related to the muscle volume.     

Sleep disorder risk factors among student athletes

ObjectiveTo clarify sleep disorder risk factors among student athletes, this study examined the relationship between lifestyle habits, competition activities, psychological distress, and sleep disorders.MethodsStudent athletes (N = 906; male: 70.1%; average age: 19.1 ± 0.8 years) in five university sports departments from four Japanese regions were targeted for analysis. Survey items were attributes (age, gender, and body mass index), sleep disorders (recorded through the Pittsburgh Sleep Quality Index), lifestyle habits (bedtime, wake-up time, smoking, drinking alcohol, meals, part-time jobs, and use of electronics after lights out), competition activities (activity contents and competition stressors), and psychological distress (recorded through the K6 scale). The relation between lifestyle habits, competition activities, psychological distress, and sleep disorders was explored using logistic regression analysis.ResultsResults of multivariate logistic regression analysis with attributes as adjustment variables showed that “bedtime,” “wake-up time,” “psychological distress,” “part-time jobs,” “smartphone/cellphone use after lights out,” “morning practices,” and “motivation loss stressors,” were risk factors that were independently related to sleep disorders.ConclusionsSleep disorders among student athletes are related to lifestyle habits such as late bedtime, early wake-up time, late night part-time jobs, and use of smartphones/cellphones after lights out; psychological distress; and competition activities such as morning practices and motivation loss stressors related to competition. Therefore, this study suggests the importance of improving these lifestyle habits, mental health, and competition activities.     

Biomarqueurs cérébraux fonctionnels non invasifs de la performance motrice : supervision cérébrale pour la rééducation motrice en infirmité motrice cérébrale

For several years, studies have investigated non-invasive functional brain biomarkers derived from EEG signals in healthy people. Such biomarkers allow assessment of cortical dynamics in relation to the level of motor performance. Thus, similar biomarkers could be specifically engineered for persons with Cerebral palsy (CP) in order to provide the therapist new rehabilitation tools such as brain monitoring systems. This article presents a brief state-of-the-art research line related to these biomarkers, their current limitations and possible solutions, as well as their potential use for brain monitoring of individuals with CP in rehabilitation settings.