Assessing sleep, travelling habits and jet lag in kite surfers according to competition level

Sleep during travel balances individual sleep needs

Travel is expected to have a deleterious effect on sleep, but an epidemiological-scale understanding of sleep changes associated with travel has been limited by a lack of large-scale data. Our global dataset of ~20,000 individuals and 3.17 million nights (~218,000 travel nights), while focused mainly on short, non-time-zone-crossing trips, reveals that travel has a balancing effect on sleep. Underslept individuals typically sleep more during travel than when at home, while individuals who average more than 7.5 hours of sleep at home typically sleep less when travelling. The difference in travel sleep quantity depends linearly on home sleep quantity and decreases as median sleep duration increases. On average, travel wake time advances to later hours on weekdays but earlier hours on weekends. Our study emphasizes the potential for consumer-grade wearable device data to explore how environment and behaviour affect sleep.

Up in the Air: Evidence of Dehydration Risk and Long-Haul Flight on Athletic Performance

The microclimate of an airline cabin consists of dry, recirculated, and cool air, which is maintained at lower pressure than that found at sea level. Being exposed to this distinctive, encapsulated environment for prolonged durations, together with the short-term chair-rest immobilization that occurs during long-haul flights, can trigger distinct and detrimental reactions to the human body. There is evidence that long-haul flights promote fluid shifts to the lower extremity and induce changes in blood viscosity which may accelerate dehydration, possibly compromising an athlete’s potential for success upon arrival at their destination. Surprisingly, and despite several recent systematic reviews investigating the effects of jet lag and transmeridian travel on human physiology, there has been no systematic effort to address to what extent hypohydration is a (health, performance) risk to travelers embarking on long journeys. This narrative review summarizes the rationale and evidence for why the combination of fluid balance and long-haul flight remains a critically overlooked issue for traveling persons, be it for health, leisure, business, or in a sporting context. Upon review, there are few studies which have been conducted on actual traveling athletes, and those that have provide no real evidence of how the incidence rate, magnitude, or duration of acute dehydration may affect the general health or performance of elite athletes.

The elite athlete as a special risk traveler and the jet lag's effect: lessons learned from the past and how to be prepared for the next Olympic Games 2020 Tokyo

BACKGROUND

Elite athletes have to travel long-haul distances and cross multiple meridians; thus, a unique syndrome named as jet-lag is induced. Furthermore, traveler athletes are submitted to several factors negatively affecting their well-being and athletic performance. This qualitative descriptive study aims to promote safely and future promising participations of elite athletes in great events, such as the next Olympic Games 2020 Tokyo, based on the chronobiology of jet-lag, factors affecting the traveler athlete and previous experiences from the 2014 FIFA World Cup Brazil, the 2018 FIFA World Cup Russia and the Olympic Games Rio 2016.

METHODS

A narrative review of the literature across a broad cross-section of the chronobiology of jet-lag and factors affecting the traveler athlete was undertaken. In addition, a general analysis based on the past sport events aforementioned is also included.

RESULTS

The jet-lag disorder may occur after transmeridian travel over more than three time-zones and the resynchronization is dependent on the direction and number of the time-zones crossed and the availability and the intensity of local circadian time cues. Also the athlete's ability to sleep, eat, get hydrated and train, are essential, as well as, others individual tolerance differences, such as age, gender, chronotype and ethnic differences. Athletes should arrive a number of days before the competition according to the number of time-zone transitions experienced.

CONCLUSIONS

Jet-lag is usually benign and self-limited, but can occasionally have serious consequences for the athlete's mental and physical health and performance. A good plan concerning the athlete's traveling schedule, sleeping, eating and training before and after travelling is mandatory.

Risk factors for precompetitive sleep behavior in elite female athletes

BACKGROUND

Sleep is of major importance for the athletes' short and long-term health, performance and recovery; however, published studies on athletes' sleep and even fewer before competition are scarce. This study evaluated the risk factors of sleep in young female gymnasts before an international competition.

METHODS

Sixty-seven rhythmic gymnasts (M=18.7, SD=2.9 years) of high performance (M=36.6, SD=7.6 h/week) were evaluated regarding training and sport practice, body composition, sleep duration, daytime sleepiness by the Epworth Sleepiness Scale, sleep quality by the Pittsburgh Sleep Quality Index, precompetitive anxiety by the Sport Competition Anxiety Test form A, and detailed dietary intake just prior to a world competition.

RESULTS

The majority of the participants (83.6%) presented reduced body fat levels (M=9.1, SD=2.1%) and low energy availability (EA, M=31.5, SD=11.9 kcal/kgFFM/day). They slept 8h10±1h30/night on weekdays and 8h40±00h40/night on weekends, 67% suffered from mild daytime sleepiness and 78% had a reduced sleep quality. Precompetitive anxiety was on average moderate (M=22.7, SD=3.2). The risk factors for short sleep duration were: 1.92 for a training volume>30 hours/week (95% CI 0.84-4.39), 4.57 for menstruation (95% CI 1.17-17.77), 6.62 for bedtime ≥11:00 PM (95% CI 1.74-25.10), 1.40 for BF<12% (95% CI 1.03-1.92), 2.19 for FFM<30 kg (95% IC 0.94-4.94), 2.37 for BMR<1100 kcal/day (95% CI 1.06-5.32), 1.90 for EEE≥700 kcal (95% CI 0.92-3.93) and 3.17 for EA<45 kcal/kg FFM/day (95% CI 0.84-6.59). Age, performance, sleep duration on weekdays and precompetitive stress were also predictors for a reduced sleep quality and/or abnormal daytime sleepiness.

CONCLUSIONS

Age, training regime, menstruation, individual preferences for bedtime, body composition and energy were important predictors of gymnasts' precompetitive sleep with consequences upon their sleep duration, SQ and DS.

Sleep duration, body composition, dietary profile and eating behaviours among children and adolescents: a comparison between Portuguese acrobatic gymnasts

Sleep, body composition and dietary intake are crucial for athletes' health and performance but have never been investigated in acrobatic gymnasts. Thus, this study aimed to evaluate sleep, body composition, dietary intake and eating behaviours of acrobatic gymnasts. Using a cross-sectional study, 82 Portuguese acrobatic gymnasts (12.8 ± 3.1 years, 61 females and 21 males) were evaluated during the competitive period to collect training data, sleep duration, body composition, dietary intake and eating behaviours before, during and after practices. Most of the gymnasts (91.5%) slept less than 8 h/night. Female adolescents slept significantly less on weekdays than female children (P = 0.024). Female adolescents' mean body mass was below the normal and 60.0% showed menstrual irregularities; 4.9% of females bases were overweight and 2.4% obese. Male adolescents slept significantly less on weekdays than male children (P = 0.001); significant differences were shown for fat-free mass (P = 0.014); however, 3.7% were overweight. All daily energy and macronutrient intakes were significantly different according to age and gender, with exception for fibre and energy intake in females (P = 0.057 and P = 0.052, respectively), and for protein in males (P = 0.068). Female and male adolescents demonstrated significant lower energy availability (32.8 ± 9.4 kcal/kg FFM/day and 45.1 ± 14.7 kcal/kg FFM/day) than children (45.8 ± 8.7 kcal/kg FFM/day and 53.8 ± 9.1 kcal/kg FFM/day), respectively. Significant low intakes of important vitamins and minerals were reported. Most of the participants did not eat or drink during or immediately after training sessions.

CONCLUSION

Acrobatic gymnasts revealed low BF, short sleep duration and macro- and micronutrients inadequate intakes. The Female Athlete Triad was demonstrated by female adolescent gymnasts. What is Known: • Adequate dietary intake is an important resource for athletes' short and long-term health and performance. • There are no published studies in acrobatic gymnasts' sleep, body composition or dietary intake. What is New: • This study provides the first data on significant differences in energy intake and availability between acrobatic gymnasts; overweight and obesity were present in females. • Macro and micronutrients were inappropriate. Female Athlete Triad was observed in female adolescent acrobatic gymnasts.