Cross-Sectional and Longitudinal Associations Between Athlete Burnout, Insomnia, and Polysomnographic Indices in Young Elite Athletes

Gerber, Markus; Best, Simon R.; Meerstetter, Fabienne; Isoard-Gautheur, Sandrine; Gustafsson, Henrik; Bianchi, Renzo; Madigan, Daniel J.; Colledge, Flora; Ludyga, Sebastian; Holsboer‐Trachsler, Edith; Brand, Serge

doi:10.1123/jsep.2018-0083

Cited by 34 publications

(18 citation statements)

References 84 publications

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“…Sleep architecture data for elite athletes were very limited in the literature (N1 and N2 are presented as data from one study). 30 To the best of our knowledge, there were no discrete data according to sleep stages for male or female elite athletes and for semi-elite female athletes ( Table 4 ).…”

Section: Resultsmentioning

confidence: 99%

Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics

Vlahoyiannis

Aphamis

Bogdanis

et al. 2021

Journal of Sport and Health Science

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Highlights Several exercise- and sports-related parameters such as sex, age, athletic expertise, training season, and sports type are discussed. These factors may potentially influence sleep quantity and architecture. Overall, sleep quantity and quality in athletes is reduced and potentially insufficient, in comparison to the general consensus of the American Academy of Sleep Medicine for non-athlete healthy adults. Specifically, young athletes, mainly of Asian origin, showed poor sleep quality, with low efficiency and long wake after sleep onset. Sleep architecture data for specific athletic populations, such as female athletes, were lacking in the literature. Further research on athletes according to sex and age is needed in order to establish sleep recommendations and promote sleep-optimizing interventions, especially for child and adolescent athletes.

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Section: Resultsmentioning

confidence: 99%

Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics

Vlahoyiannis

Aphamis

Bogdanis

et al. 2021

Journal of Sport and Health Science

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“…There is also a possibility that change in physical activity is not linearly related to change in mental distress, although at this point this is only speculation. However, several studies have shown that adolescents who are highly involved in (competitive) strenuous physical activity are at increased risk to suffer from symptoms of burnout and depression [52, 53]. Some individuals with high positive change in physical activity levels may have higher scores on mental distress, thus, counterbalancing the possible preventive effect of physical activity on mental distress.…”

Section: Discussionmentioning

confidence: 99%

Change in physical activity is not associated with change in mental distress among adolescents: the Tromsø study: Fit Futures

et al. 2019

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Background Previous research shows that physical activity has a protective effect on mental distress in adults, but the relationship is less researched and seems more ambiguous for adolescents. Studies in this field have typically been cross-sectional by design and based on self-reported physical activity measures, which are known to be vulnerable to response bias. The aim of this study was to investigate the relationship between change in objectively assessed physical activity as measured by accelerometer and change in mental distress among adolescents using longitudinal data from The Tromsø Study: Fit Futures. Method This study was based on data from 676 upper-secondary school students (mean age 16.23 years at baseline, 45.26% boys) from The Tromsø Study: Fit Futures. Physical activity, mental distress and covariates were measured at baseline (T1) and follow-up (T2) 2 years later. Physical activity was objectively measured with an ActiGraph GT3X accelerometer over 7 days. Mental distress was measured with the Hopkins Symptom Checklist-10 (HSCL-10). Change score variables were computed as the difference between T1 and T2 in number of steps, number of minutes of moderate to vigorous physical activity (MVPA) and mental distress between T1 and T2, and analyzed using linear regression analysis. Results Changes in steps per day were not associated with changes in mental distress in neither the crude, partially, nor fully adjusted model. Neither was changes in minutes of MVPA per day. Interaction effects between change in both steps per day and minutes of MVPA and gender were also not statistically significant, nor was the interaction effects between baseline levels of mental distress and physical activity. Conclusion The results of our study indicate that for adolescents in the sample, change in physical activity is unrelated to change in mental distress over a two-year period.

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“…Beltran-Valls et al (4) found no differences in sleep quality or duration when comparing young (mean age 13.9 [0.3] y) athletes who competed regularly in organized sport events and trained ≥3 days per week with nonathletes or inactive adolescents, and Brand et al (5) found no difference in self-reported sleep duration between adolescent athletes and controls, although athletes reported better sleep quality and fewer awakenings. Interestingly, in a recent study of adolescent athletes, 4%-11% reported clinically relevant insomnia symptoms (11). The International Olympic Committee's Medical Commission recommends adequate sleep as part of a balanced lifestyle for elite child athletes (23).…”

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confidence: 99%

Training Schedule and Sleep in Adolescent Swimmers

Guðmundsdóttir

2020

Pediatric Exercise Science

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Purpose: Insufficient sleep duration may affect athletic performance and health. Inconsistent sleep pattern also has negative health effects, but studies on athletes’ intraindividual sleep variability are scarce. The aim of this research was to compare total sleep time (TST) and variability (TST-variability), wakening after sleep onset, and sleep efficiency, during nights preceding early morning practices with other nights, and to investigate sleep characteristics of nights following a day with early morning only, evening only, or both a morning and an evening session in adolescent swimmers. Methods: Wrist-worn accelerometers were used to measure 1 week of sleep in 108 swimmers (mean age 16.1 [2.6] y) in Iceland. Adjusted regression analyses and linear mixed models were used to explore associations of training schedules with TST, TST-variability, wakening after sleep onset, and sleep efficiency. Results: Mean TST was 6:32 (h:min) (±39 min) and TST-variability was 63 minutes (±25 min). TST decreased and TST-variability increased with more early morning practices. TST preceding early training was 5:36 and 5:06 in <16- and ≥16-year-olds, respectively, shorter than on nights preceding later or no morning training (P < .001). Conclusion: Swimmers have extremely short TST preceding early morning sessions and increased TST-variability with more early morning sessions.

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Cross-Sectional and Longitudinal Associations Between Athlete Burnout, Insomnia, and Polysomnographic Indices in Young Elite Athletes

Abstract: Edith and Brand, Serge (2018) Cross-sectional and longitudinal associations between athlete burnout, insomnia and polysomnographic indices in young elite athletes.

Cited by 34 publications

References 84 publications

Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics

Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics

Change in physical activity is not associated with change in mental distress among adolescents: the Tromsø study: Fit Futures

Training Schedule and Sleep in Adolescent Swimmers

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