Comparison of sleep between youth elite amateur athletes and professional athletes

Penttilä, Elina; Vuorinen, Ville-Pekka; Kivimäki, Marko; Ahlberg, Jari; Airaksinen, Olavi; Tuomilehto, Henri

doi:10.1007/s11332-021-00780-5

Cited by 5 publications

(4 citation statements)

References 37 publications

(70 reference statements)

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“…However, the small sample size of the current study ( n = 15) must be noted. This is in stark contrast to a recent investigation in Finland ( n = 228) which demonstrated that 33.9% ( n = 76) used sleep medication [ 38 ]. A report from the National Collegiate Athletic Association (NCAA) indicated that sleep medication use accounted for 10.3% of miscellaneous substance use across all sports in American student athletes [ 39 ].…”

Section: Discussioncontrasting

confidence: 90%

“…Previous research using both subjective [ 33 ] and objective measures [ 34 ] has suggested that elite athletes have inferior sleep quality compared to non-athletes. Poor sleep quality is of particular concern for elite athletes as it can result in a reduction in recovery and/or subsequent athletic performance [ 4 , 35 , 36 , 37 , 38 ]. While there were improvements from baseline to post-intervention in PSQI dimensions of sleep onset latency (1.67 ± 0.49 to 1.35 ± 0.62), sleep duration (0.34 ± 0.49 to 0.14 ± 0.35) and sleep efficiency (0.6 ± 0.91 to 0.2 ± 0.42), no significant differences were observed.…”

Section: Discussionmentioning

confidence: 99%

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The Impact of Kiwifruit Consumption on the Sleep and Recovery of Elite Athletes

et al. 2023

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Background: Poor sleep and resultant under-recovery can negatively impact training adaptations, increase the risk of injury and reduce subsequent performance. Due to the ‘food first’ approach adopted by many athletes, there is scope for investigation of ‘functional food’ based interventions (i.e., kiwifruit contains melatonin which plays a role in circadian rhythm regulation) designed to promote athlete recovery and/or enhance sleep quality and quantity. Methods: Following the baseline assessment (Week 1) all subjects began the intervention (Weeks 2–5). During the 4-week intervention, participants were asked to consume 2 medium-sized green kiwifruit (Actinidia Deliciosa) an hour before bed. Participants completed a questionnaire battery at baseline and post-intervention, and a daily sleep dairy for the duration of the study. Results: The results demonstrated a positive impact of kiwifruit consumption on key aspects of sleep and recovery in elite athletes. From baseline to post-intervention, there were clinically significant improvements in sleep quality (i.e., improved PSQI global scores and sleep quality component scores) and improvements in recovery stress balance (reduced general stress and sports stress scales). Moreover, the intervention improved sleep as evidenced by significant increases in total sleep time and sleep efficiency % and significant reductions in number of awakenings and wake after sleep onset. Conclusion: The findings broadly suggested that kiwifruit does impact positively on sleep and recovery in elite athletes.

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Section: Discussioncontrasting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

The Impact of Kiwifruit Consumption on the Sleep and Recovery of Elite Athletes

et al. 2023

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“…This result is in accordance to that reported by Madigan et al [ 31 ] in a study between elite and sub elite athletes without difference of poor sleep between both groups. However, in a recent study of Penttilä et al [ 32 ] it was noticed an important proportion of poor sleep in professional athletes compare to amateur. With regards to physiological and psychological complexity of sleep, the poor quality of sleep should be superior in professional athletes due to the important mental stress and physical demands.…”

Section: Discussionmentioning

confidence: 96%

Poor quality of sleep and musculoskeletal pains among highly trained and elite athletes in Senegal

Mekoulou Ndongo,

Bika Lele,

Malam Moussa Ahmet

et al. 2024

BMC Sports Sci Med Rehabil

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Background Previous studies reported that poor sleep quality (PSQ) was associated with musculoskeletal pains (MSP) and poor physical performance in athletes. Objective The current study aimed at determining PSQ and its associations with MSP in some sub-Saharan athletes. Methods A cross sectional study was conducted among 205 highly trained and 115 elite athletes (aged: 25 ± 2 years, Body mass index: 22.8 ± 0.9 kg/m2) in Dakar, Senegal, during a competitive season in a variety of sport disciplines including athletics, basketball, football, rugby, wrestling, tennis. Quality of sleep and MSP were assessed using the French version Pittsburgh Sleep Quality Index (PSQI) and French version of Nordic questionnaire respectively. Pain on body joints during a week was defined as seven-day MSP (MSP-7d) and PSQ for a PSQI > 5. Results 27.8% (95%CI: 23.2–32.9) of the overall sample suffered PSQ, with 33.7% (95%CI: 24.7–44.0) in basketball and 24.7% (95%CI: 16.9–34.6) in football. According to athletic status and gender, PSQ was more prevalent among highly trained (66.3; 95%CI: 55.9–75.3) and men (69.7%; 95%CI: 59.5–78.7). Among athletes with PSQ 43.8% (95%CI: 33.9–54.2) suffered MSP-7d, with 36.6%; highly trained (95%CI: 23.7–42.9) and 28.1% female. Considering body region, hips/thigh (14.6%; 95% CI: 8.74–23.4) and upper back (13.5%; 95%CI: 7.88 -21, 1) were more affected. Basketball players were more affected from MSP (MSP-7d = 38.5%; 95%CI: 24. 9–54.1) on high on wrists/hands (MSP-7d = 44.4%; 95%CI: 18.9 -73.3; P = 0.04). Based on athletic status, MSP-7d were higher on highly trained necks (100%; 95%CI: 56.1–100; p = 0.04). PSQ was associated with basketball (OR: 3.062, 95%CI: 1.130–8.300, p = 0.02) compared to Athletic. PSQ and MSP-7d were associated on Wrist/hands (OR: 3.352, 95%CI: 1.235–9.099, p = 0.01), and at the upper back (OR: 5.820, 95%CI: 2.096–16.161, p = 0.0007). Conclusion These results indicate that PSQ is considerable among Senegalese athletes and is associated with MSP during a week. Hence, we recommend to look for strategies optimizing good quality of sleep in order to reduce pains, to improve health.

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“…[18] While this study was not specifically conducted on junior athletes, the mean ages of the participants (20 years old) is close to the mean age of 17 in our study. However, there may be differences in sleep parameters between junior and adult elite athletes, [19] highlighting the need for more research on this young population. Sleep behavior may be affected by a multitude of factors, of which the causality was not feasible to assess in this study.…”

Section: Discussionmentioning

confidence: 99%

Cross-sectional study assessing sleep behavior and musculoskeletal symptoms in elite junior badminton athletes

Skare,

Viberg,

Hölmich

et al. 2024

Medicine

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Sleep inadequacy has previously been associated with increased risk of injury and reduced performance. It is unclear if sleep disorders are associated with musculoskeletal symptoms, which may be a predictor of serious injury and affect performance. The aim was therefore to assess sleep behavior in elite junior badminton players and its association to musculoskeletal symptoms. In 2018, players at the World Junior Badminton Championship completed the Athlete Sleep Behavior Questionnaire and a modified version of the World Olympic Association Musculoskeletal Health Questionnaire. Participants were categorized with poor or moderate/good sleep behavior as the independent variable. Musculoskeletal symptoms were the primary outcome and was categorized using yes/no questions. Relevant musculoskeletal symptoms were defined as pain higher than 30 mm Numeric Rating Scale pain score or more than 30 minutes of joint stiffness a day. Group comparison was performed using chi-square analysis and logistic regression for primary outcome adjusted for age, sex, ethnicity, previous injury, training load, and resting days. Of the 153 participants, 28% reported poor sleep scores. There was no difference between poor and moderate/good sleep score concerning demographic variables such as sex, age, ethnicity, previous injury, training load, and resting days. There were 27% with current musculoskeletal symptoms but with no difference in groups between poor and moderate/good sleep score (P = .376). This yielded an adjusted odds ratio of 1.23 (95% confidence intervals 0.52; 2.90). Twenty-eight percent of the participants reported poor sleep behavior. Twenty-seven percent experienced current musculoskeletal symptoms. We found no statistical differences in reported musculoskeletal symptoms when comparing athletes with poor sleep behavior to athletes with moderate/good sleep behavior.

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Comparison of sleep between youth elite amateur athletes and professional athletes

Cited by 5 publications

References 37 publications

The Impact of Kiwifruit Consumption on the Sleep and Recovery of Elite Athletes

The Impact of Kiwifruit Consumption on the Sleep and Recovery of Elite Athletes

Poor quality of sleep and musculoskeletal pains among highly trained and elite athletes in Senegal

Cross-sectional study assessing sleep behavior and musculoskeletal symptoms in elite junior badminton athletes

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