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.

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 (M_diff = −2.9 min, p = 0.02), sleep onset time (M_diff = −12 min, p = 0.03), and sleep efficiency (M_diff = 1.1%, p = 0.004)) and wrist activity monitor estimates (i.e., sleep onset time (M_diff = −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.

The present study investigated the influence and perspective of esports coaches and support staff on the sleep habits of esports athletes competing at professional and semiprofessional levels. Eighty-four esports coaches and support staff from 19 countries completed an online questionnaire. The first section obtained demographic information. The second section evaluated sleep hygiene knowledge using the Sleep Beliefs Scale. The third section assessed sleep monitoring and sleep hygiene practices used by coaches and support staff with esports athletes, barriers to the use of these practices, and conditions that impact the sleep of esports athletes. Overall, sleep hygiene knowledge was inadequate (<75%, based on the study of Miles et al.). Sleep monitoring frequency was low (48.8%), while sleep hygiene practices were implemented more often (66.7%). The most common barrier to sleep monitoring and sleep hygiene practices was players not liking it (50% and 46.3%, respectively). Night competitions (64.6%), congested competition times (51.2%), and night training schedules (47.6%) all rated highly as having an impact on esports athletes’ sleep. Sleep education and training for coaches and support staff in the optimal use of sleep monitoring and sleep hygiene practices may increase the frequency and quality of sleep health support provided to esports athletes.

The overall aim of the present study was to examine the daily patterns and relationships between sleep behavior, anxiety, mood (i.e., depression symptoms), and cognitive performance (i.e., reaction time) in esports athletes competing in an Oceanic Rocket League Championship Series regional event. Sixteen participants completed a daily sleep diary, an evening anxiety measure, and an afternoon mood measure and cognitive performance task. Measures were taken (a) precompetition, (b) across the competition days, and (c) postcompetition. We found that participants’ lights-out time was earliest across the competition nights. Sleep-onset latency gradually lengthened precompetition and across the competition nights, eventually exceeding normal limits. Wake after sleep onset was longest across the competition nights but remained within normal limits. Wake-up time was earliest at the start of the competition period but consistently late on most other days. Total sleep time was generally adequate but mildly reduced the night before the first day of competition. There was no significant relationship between anxiety and subsequent sleep nor a relationship between total sleep time and next day mood or cognitive performance. Future research should investigate whether these findings generalize to esports athletes from other games, at higher levels of competition, and to different start times.

Insomnia, even when comorbid with other diagnoses is an independent health issue that warrants treatment. Cognitive behavioural therapy for insomnia (CBT-I) is the recommended first-line treatment. Although the science is clear that CBT-I supports outcomes for those with mental ill health, the routine use of CBT-I in mental health contexts is rare. Implementation research on CBT-I in the psychiatric context is urgently needed. This study evaluated group CBT-I as routinely delivered in a psychiatric hospital service. Adult outpatients (N = 76; M_age = 50.20 years; female = 57; psychiatric comorbidity = 69.74%; using sleep medication = 76%) referred for insomnia treatment attended four sessions of group CBT-I. Standardised questionnaires were administered pre- and post-treatment. Intent-to-treat analysis revealed statistically significant and clinically meaningful improvements with large effect sizes in insomnia severity (d = 2.5, r = 0.8), depression (d = 1.4, r = 0.5), anxiety (d = 1.2, r = 0.5) and stress (d = 1.2, r = 0.5) symptoms, quality of life (d = 1.4, r = 0.6), and functional impairment (d = 2.2, r = 0.7). Regression analyses indicated pre-post changes in dysfunctional beliefs about sleep accounted for significant variance in post-treatment insomnia severity. Results supported feasibility of implementation and real-world effectiveness of CBT-I in a psychiatric setting. Cognitive models of insomnia, emphasising the role of unhelpful beliefs about sleep in insomnia treatment were supported. Future directions include the dissemination of CBT-Insomnia to improve its uptake in psychiatric care.