Evaluation of a Brief Sleep Intervention Designed to Improve the Sleep, Mood, and Cognitive Performance of Esports Athletes.

This study evaluated a brief sleep intervention designed to improve the sleep, mood, and cognitive performance of professional electronic sports (esports) athletes from three major esports regions (i.e., Asia, North America, and Oceania). Fifty-six esports athletes from South Korea (N = 34), the United States (N = 7), and Australia (N = 15) completed the study. Participants completed an initial 2-week pre-intervention phase to establish a baseline, followed by a 2-week intervention phase that involved a group sleep education class, 1:1 session with a trained clinical psychologist, and daily biofeedback. A wrist activity monitor and daily sleep diary were used to monitor sleep during both phases, while at pre- and post-intervention, participants completed a battery of sleep and mood questionnaires and underwent cognitive performance testing. Sleep knowledge increased from pre- to post-intervention (d = 0.83 [95% CI −1.21, −0.43], p =< 0.001), while there were modest improvements in sleep diary estimates (i.e., sleep onset latency (Mdiff = −2.9 min, p = 0.02), sleep onset time (Mdiff = −12 min, p = 0.03), and sleep efficiency (Mdiff = 1.1%, p = 0.004)) and wrist activity monitor estimates (i.e., sleep onset time (Mdiff = −18 min, p = 0.01)). Insomnia severity scores decreased significantly (d = 0.47 [95% CI 0.08, 0.84], p = 0.001), while sleepiness scores increased but not meaningfully (d = 0.23 [95% CI −0.61, 0.14], p = 0.025). However, there was no significant change in mood (i.e., depression and anxiety) or cognitive performance scores (i.e., mean reaction time or lapses). Sleep interventions for esports athletes require further investigation. Future research should examine whether a stepped-care model, whereby increasing therapeutic input is provided as needed, can optimize sleep, mood, and cognitive performance outcomes.

Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study.

Esports is becoming increasingly professionalized, yet research on performance management is remarkably lacking. The present study aimed to investigate the sleep and mood of professional esports athletes. Participants were 17 professional esports athletes from South Korea (N = 8), Australia (N = 4), and the United States (N = 5) who played first person shooter games (mean age 20 ± 3.5 years, 100% male). All participants wore a wrist-activity monitor for 7-14 days and completed subjective sleep and mood questionnaires. Participants had a median total sleep time of 6.8 h and a sleep efficiency of 86.4% per night. All participants had significantly delayed sleep patterns (median sleep onset 3:43 a.m. and wake time 11:24 a.m.). Participants had a median sleep onset latency of 20.4 min and prolonged wake after sleep onset of 47.9 min. Korean players had significantly higher depression scores compared to the other groups (p < 0.01) and trained longer per day than the Australian or United States teams (13.4 vs. 4.8 vs. 6.1 h, respectively). Depression scores were strongly correlated with number of awakenings, wake after sleep onset, and daily training time (p < 0.05). As the first pilot sleep study in the esports field, this study indicates that esports athletes show delayed sleep patterns and have prolonged wake after sleep onset. These sleep patterns may be associated with mood (depression) and training time. Sleep interventions designed specifically for esports athletes appear warranted.

Sleep and performance in Eathletes: for the win!

Over the last decade, Esports, defined as a form of organized video game competition, has emerged as a global phenomenon. The professional players who compete in Esports, namely, Eathletes, share many similarities with their traditional athlete counterparts. However, in sharp contrast to traditional athletes, there is a paucity of research investigating the factors that influence the performance of Eathletes. This gap in the literature is problematic because Eathletes are unable to make informed and empirically supported decisions about their performance management, unlike traditional athletes. Sleep is an important factor that influences athletic performance in traditional sports, particularly those that require a high level of cognitive demand. Research is yet to examine whether sleep also plays an important function in optimal performance and success of Eathletes in Esports. Accordingly, the aim of this opinion piece is to review the broader sleep and sports medicine literature and provide theoretically grounded suggestions as to how existing findings may apply to Eathletes competing professionally in Esports. Overall, it appears that Eathlete performance may be vulnerable to the deleterious effects of sleep restriction. Furthermore, Eathletes are likely at risk of sleep disturbances due to the unique situations and conditions that characterize Esports.

Sleep Interventions Designed to Improve Athletic Performance and Recovery: A Systematic Review of Current Approaches.

BACKGROUND: Athletes experience various situations and conditions that can interfere with their sleep, which is crucial for optimal psychological and physiological recovery as well as subsequent performance. Conventional sleep screening and intervention approaches may not be efficacious for athletes given their lifestyle, the demands of training and travel associated with interstate/international competition. OBJECTIVES: The present systematic review aimed to summarize and evaluate sleep intervention studies targeting subsequent performance and recovery in competitive athletes. Based on the findings, a secondary aim was to outline a possible sleep intervention for athletes, including recommendations for content, mode of delivery and evaluation. METHODS: A systematic review was conducted based on the PRISMA guidelines in May 2016 with an update completed in September 2017. Ten studies met our inclusion criteria comprising a total of 218 participants in the age range of 18-24 years with athletes from various sports (e.g., swimming, soccer, basketball, tennis). A modified version of the quality assessment scale developed by Abernethy and Bleakley was used to evaluate the quality of the studies. RESULTS: The included studies implemented several sleep interventions, including sleep extension and napping, sleep hygiene, and post-exercise recovery strategies. Evidence suggests that sleep extension had the most beneficial effects on subsequent performance. Consistent with previous research, these results suggest that sleep plays an important role in some, but not all, aspects of athletes' performance and recovery. CONCLUSION: Future researchers should aim to conduct sleep interventions among different athlete populations, compare results, and further establish guidelines and intervention tools for athletes to address their specific sleep demands and disturbances.

Evaluation of novel school-based interventions for adolescent sleep problems: does parental involvement and bright light improve outcomes?

OBJECTIVES: The current study aimed to evaluate school-based motivational sleep education programs (SEPs) with adjunct bright light therapy (BLT) and/or parental involvement (PI). DESIGN: Randomized controlled trial. SETTING: Six high schools, matched on socio-economic status (SES). PARTICIPANTS: A total of 193 adolescents (mean age, 16.3 ± 0.4 years, 79%f). INTERVENTION: Classes were randomly assigned to (i) SEP + BLT, (ii) SEP + PI, (iii) SEP + BLT + PI, or (iv) classes-as-usual (CAU). Sleep education programs involved 4×50 minute classes (over 4 weeks) based on a Motivational Interviewing framework (Sleep Med 2011;12:246-251). Students in BLT groups attempted a weekend phase advance using portable green light LED glasses (500 nm; 506 lux). Parents of PI groups watched a series of 4 YouTube clips (2-3 minutes in length) outlining their adolescent's learning in class and how they could assist. Students in the CAU groups continued their regular classes. MEASUREMENTS: Online questionnaires measuring sleep knowledge, sleep patterns (bedtime, sleep latency, total sleep time [TST], etc) and mood at preintervention and postintervention and 6-week follow-up. Intervention groups also completed a motivation-to-change questionnaire and provided qualitative feedback. RESULTS: Improvements in sleep knowledge (d = 0.59-0.88), sleep onset latency (d = 0.45-0.50), TST (d = 0.32-0.57), and mood (d = 0.24-0.46) were observed in all intervention groups relative to the CAU group. Similar improvements were observed in a subgroup of students identified as having delayed sleep timing (ie, sleep knowledge: d = 0.45-0.92; sleep onset latency: d = 0.59-0.82; TST: d = 0.82-1.18). Increases in motivation to regularize out of bedtimes, obtain morning bright light (BLT groups), and avoid sleeping-in on weekends occurred (all P < .005). CONCLUSIONS: This motivational SEP produced meaningful and similar benefits for adolescents in all intervention groups. Longer BLT (ie, over school holidays) and more intensive parental inclusion should be investigated in future studies.

Immediate and delayed recall of a small-scale spatial array.

The study examined people's spatial memory of a small-scale array of objects. Earlier work has primarily relied on short-retention intervals, and to date it is not known whether performance is affected by longer intervals between learning and recall. In the present investigation, university students studied seven target objects. Recall was tested immediately after learning and after an interval of seven days. Performance was found to be similar in the immediate and delayed conditions, and the results suggested that recall was facilitated by egocentric and intrinsic cues. The findings are discussed with reference to recent investigations that have shown task parameters can influence spatial recall.