Literature DB >> 29877674

Risk factors for precompetitive sleep behavior in elite female athletes.

Maria-Raquel Silva1,2,3,4, Teresa Paiva5,6.   

Abstract

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.

Entities:  

Mesh:

Year:  2018        PMID: 29877674     DOI: 10.23736/S0022-4707.18.08498-0

Source DB:  PubMed          Journal:  J Sports Med Phys Fitness        ISSN: 0022-4707            Impact factor:   1.637


  6 in total

1.  Changes in the objective measures of sleep between the initial nights of menses and the nights during the midfollicular phase of the menstrual cycle in collegiate female athletes.

Authors:  Natsue Koikawa; Yukiko Takami; Yu Kawasaki; Fusae Kawana; Nanako Shiroshita; Etsuko Ogasawara; Takatoshi Kasai
Journal:  J Clin Sleep Med       Date:  2020-10-15       Impact factor: 4.062

Review 2.  The Psychosocial Implications of Sport Specialization in Pediatric Athletes.

Authors:  Joel S Brenner; Michele LaBotz; Dai Sugimoto; Andrea Stracciolini
Journal:  J Athl Train       Date:  2019-09-18       Impact factor: 2.860

3.  Sleep, energy disturbances and pre-competitive stress in female traveller athletes.

Authors:  Maria-Raquel G Silva; Teresa Paiva
Journal:  Sleep Sci       Date:  2019 Oct-Dec

4.  Sleep quality of student athletes and non-athletes - the role of chronotype, stress and life satisfaction.

Authors:  Kamila Litwic-Kaminska; Martyna Kotysko
Journal:  Sleep Sci       Date:  2020 Oct-Dec

Review 5.  The Impact of Dietary Factors on the Sleep of Athletically Trained Populations: A Systematic Review.

Authors:  Jackson Barnard; Spencer Roberts; Michele Lastella; Brad Aisbett; Dominique Condo
Journal:  Nutrients       Date:  2022-08-10       Impact factor: 6.706

6.  Body Composition, Dietary Intake and the Risk of Low Energy Availability in Elite-Level Competitive Rhythmic Gymnasts.

Authors:  María Villa; José G Villa-Vicente; Jesus Seco-Calvo; Juan Mielgo-Ayuso; Pilar S Collado
Journal:  Nutrients       Date:  2021-06-18       Impact factor: 5.717

  6 in total

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