Impact of Long-Haul Travel to International Competition on Sleep and Recovery in Elite Male and Female Soccer Athletes.

PURPOSE: To investigate the impact of eastward travel across 7 time zones on sleep, jet lag, and recovery in elite soccer athletes. METHODS: Twenty-one male and 20 female athletes (21.5 [1.7] y) traveled from Ireland to Taiwan to represent their national team at the World University Games 2017. Daily monitoring via actigraphy and subjective sleep and well-being measures were obtained for 1 week in Ireland (baseline), and for the duration of an international soccer tournament (days 1-5 [precompetition] and days 6-18 [competition]). RESULTS: Sleep duration (P = .028) and time in bed (P = .006) were significantly lower at precompetition compared with baseline. Sleep quality (P < .001) was significantly decreased in precompetition compared with baseline and competition. Subjective jet lag symptoms continued for up to 13 days posttravel. Athletes reported significantly greater fatigue during precompetition compared with competition (P = .005); however, there were no significant differences for recovery (P = .35) and readiness to train (P = .35). Sleep hygiene changed significantly during precompetition and competition compared with baseline in relation to reduced electronic device use (P = .005) and reduced caffeine intake (P < .001). Females reported significantly greater presleep tension-anxiety compared with males at all timepoints (P = .02). CONCLUSION: Long-haul eastward travel across 7 time zones has a significant impact on sleep duration and quality, likely related to changes in sleep patterns and jet lag. Athletes report changes in sleep hygiene posttravel; however, sleep remained negatively impacted for up to 5 days. Despite significant sleep disturbance and jet lag symptoms, young healthy athletes appear to recover well from long-haul travel; however, it is unknown if this interferes with training and competition performance.

Managing Travel Fatigue and Jet Lag in Athletes: A Review and Consensus Statement.

Athletes are increasingly required to travel domestically and internationally, often resulting in travel fatigue and jet lag. Despite considerable agreement that travel fatigue and jet lag can be a real and impactful issue for athletes regarding performance and risk of illness and injury, evidence on optimal assessment and management is lacking. Therefore 26 researchers and/or clinicians with knowledge in travel fatigue, jet lag and sleep in the sports setting, formed an expert panel to formalise a review and consensus document. This manuscript includes definitions of terminology commonly used in the field of circadian physiology, outlines basic information on the human circadian system and how it is affected by time-givers, discusses the causes and consequences of travel fatigue and jet lag, and provides consensus on recommendations for managing travel fatigue and jet lag in athletes. The lack of evidence restricts the strength of recommendations that are possible but the consensus group identified the fundamental principles and interventions to consider for both the assessment and management of travel fatigue and jet lag. These are summarised in travel toolboxes including strategies for pre-flight, during flight and post-flight. The consensus group also outlined specific steps to advance theory and practice in these areas.

Sleep, health, and well-being in elite athletes from different sports, before, during, and after international competition.

Objectives: Limited research has been conducted on sleep problems in elite athletes at international competition, and how this relates to their general health and well-being. Methods: Sixty-five elite international athletes (37 males, 28 females, 21.8 ± 2.1 years) from different sports completed validated sleep (Athlete Sleep Screening Questionnaire), health (Subjective Health Complaints Inventory) and well-being (Sports Profile of Mood States) questionnaires; 1 month pre-competition, at the end of international competition, and 1 month post-competition. Results: Twenty-three percent of the elite athletes were identified as having a moderate or severe clinically significant sleep problem during competition, with 82% reporting less than 8 h of sleep per night. Athletes with a moderate or severe clinically significant sleep problem during competition had significantly greater general health complaints (p = 0.002), mood disturbance (p = 0.001) and poorer sleep hygiene (p = 0.002). Swimmers had more sleep difficulty pre and during competition compared to athletics and soccer (p = 0.009). Conclusion: Sleep disturbance during international competition is common and associated with poorer health and lower mood. Swimmers may be more at risk of sleep difficulty pre and during competition compared to those competing in athletics and soccer. Sleep services may be required to support elite athletes at international competition.

Sleep in elite multi-sport athletes: Implications for athlete health and wellbeing.

OBJECTIVES: To investigate the prevalence of clinically relevant sleep problems in elite multi-sport athletes and their associations with sleep hygiene, general health, mood, chronotype, and injury. DESIGN: Cross-sectional study. SETTING: During the competitive season in athletes' home environment. PARTICIPANTS: Elite multi-sport Irish athletes (n = 58) competing at the 2017 World University Games. MAIN OUTCOME MEASURES: Category of clinical sleep problem (Athlete-Sleep-Screening-Questionnaire), sleep hygiene (Sleep Hygiene Index), general health (Subjective Health Complaints), mood (Sports Profile of Mood States), chronotype (Morningness-Eveningness Questionnaire), and injury (self-reported injury). RESULTS: 43% had no clinical sleep problem, 41% had a mild clinical sleep problem, 16% had a moderate clinical sleep problem, none had a severe clinical sleep problem. Therefore, 84% of athletes did not have a clinically significant sleep problem while 16% had a clinically significant sleep problem. One-way-ANOVA revealed significantly worse sleep hygiene (p = 0.002), more general health complaints (p = 0.001) and greater mood disturbance (p = 0.001) among those with clinically significant sleep disturbances compared to those without. No association was found between having a clinically significant sleep problem and either chronotype or previous recent injury. CONCLUSIONS: Athletes with a clinically significant sleep problem were more likely to report worse sleep hygiene, more general health complaints, and mood disturbance.

Poor sleep is related to lower general health, increased stress and increased confusion in elite Gaelic athletes.

OBJECTIVES: Persistent poor sleep is associated with a range of adverse health outcomes. Sleep is considered the main method of recovery in athletes; however, studies report that a significant number of athletes are getting insufficient sleep. The purpose of this study was to assess the sleep profiles of elite Gaelic athletes and to compare wellbeing in those with poor sleep and those with good sleep. METHODS: 69 elite Gaelic athletes completed questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), Subjective Health Complaints Inventory (SHC), Nordic Musculoskeletal Questionnaire (NMQ), stress subscale of the Depression Anxiety Stress Scale (DASS), the tension-anxiety, anger-hostility and confusion-bewilderment subscales of the Profile of Mood States (POMS) as well as the catastrophising subscale of the Coping Strategies Questionnaire (CSQ). Participants were categorised into poor sleepers (PSQI ≥5) and good sleepers (PSQI <5) and outcome measures of health and wellbeing were analysed between the two groups. RESULTS: 47.8% of athletes were poor sleepers. Self-reported sleep duration was 7.5 ± 0.6 h per night. 63.7% of poor sleepers took >30 min to fall asleep, compared to 5.6% of good sleepers. Poor sleepers had significantly lower general health (SHC) (p = 0.029), increased stress (DASS) (p = 0.035) and increased confusion (POMS-subscale) (p = 0.005). There was no significant difference between groups for number of painful body parts (NMQ) (p = 0.052), catastrophising (CSQ) (p = 0.287), overall mood (POMS) (p = 0.059), or POMS subscales of anger (p = 0.346) or tension (p = 0.593). CONCLUSION: Nearly 50% of elite Gaelic athletes report poor sleep. There is a significant relationship between poor sleep and lower general health, increased stress and increased confusion, and these factors may interact with each other. Monitoring of and interventions to enhance sleep may be required to improve athletes' wellbeing.