Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study
| Autor: | Daniel Bonnar, Michael Gradisar, Brandy M. Roane, Sooyeon Suh, Sangha Lee, Ian C. Dunican, Gemma Maisey, Michele Lastella |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Health Toxicology and Mutagenesis mood Psychological intervention lcsh:Medicine Article 03 medical and health sciences Young Adult 0302 clinical medicine Republic of Korea Medicine Humans Sleep study sleep Depression (differential diagnoses) biology business.industry Athletes lcsh:R Public Health Environmental and Occupational Health Australia 030229 sport sciences biology.organism_classification Sleep in non-human animals Affect Mood depression Physical therapy esports eveningness Female Sleep onset latency Sleep onset business 030217 neurology & neurosurgery performance |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 18, Iss 664, p 664 (2021) Volume 18 Issue 2 |
| ISSN: | 1660-4601 1661-7827 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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