Science of sleep and sports performance – a scoping review

Chandrasekaran, Baskaran; Fernandes, Shifra; Davis, Fiddy

doi:10.1016/j.scispo.2019.03.006

Cited by 27 publications

(18 citation statements)

References 62 publications

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“…However, not all athletes manage to obtain the necessary amount of sleep, possibly related to having inadequate sleep hygiene habits. This supports the need to monitor and control these behaviors to enhance athletic performance and prevent injuries 40,41 . From this perspective, the development of specific tools to monitor the sleep-wake patters of athletes is vital 25 .…”

Section: Discussionmentioning

confidence: 73%

Cross-cultural adaptation of the Brazilian version of the Athlete Sleep Behavior Questionnaire

et al. 2021

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Introduction:Considering the specificity of the sporting context and the influence of sleep on athletic performance, the "athlete sleep behavior questionnare" (ASBQ) was developed to evaluate sleep behavior in English-speaking athletes. Objective: The aim of this study was to perform a cross-cultural adaptation and validation of the ASBQ in Brazilian athletes. Methods: The cross-cultural adaptation was processed by procedures of translation and back-translation. Content validity was performed by 9 experts, calculating the coefficient of content validity for the equivalence of the individual items (Cvci) and the total global score (Cvct), in addition we conducted a pilot study using the translated version of the questionnaire. The next phase of the study included 52 athletes completing the translated ASBQ. The reliability of the questionnaire was assessed by the intraclass correlation coefficient (ICC), standard error of measurement (SEM) and by Cronbach's alpha (α). Results: The ASBQ passed the process of cross-cultural adaptation, obtaining the Brazilian Version of the ASBQ (ASBQ-BR), and with acceptable values of Cvci (0.89-1.00) and Cvct (0.96). Additionally, the ASBQ-BR showed acceptable values of reliability (ICC=0.857; Cronbach's α=0.78) and a SEM of 3.05 AU. Conclusion: The ASBQ was translated to a newly developed ASBQ-BR, resulting in acceptable values for content validity and reliability. The ASBQ-BR provides a valuable tool for monitoring sleep behaviors in Brazilian athletes.

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Section: Discussionmentioning

confidence: 73%

Cross-cultural adaptation of the Brazilian version of the Athlete Sleep Behavior Questionnaire

et al. 2021

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“…At the cardiorespiratory level, poor SQ promotes several deficits in the nervous and endocrine systems: (a) decreased physical performance, (b) decreased concentration and memory, (c) more insulin resistance, and (d) decreased leptin (appetite suppressor). When there are several continuous sleepless nights, these systems are dysregulated [ 22 ]. Thus, the aim of this study was to determine the effects of a 20-week CT programme on MetS and HRQoL markers according to the SQ of morbidly obese patients.…”

Section: Introductionmentioning

confidence: 99%

Poor Sleep Quality Decreases Concurrent Training Benefits in Markers of Metabolic Syndrome and Quality of Life of Morbidly Obese Patients

Floody

Román

Jerez‐Mayorga

et al. 2020

IJERPH

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Background: Sleep quality (SQ) plays a role in multiple activities of daily living, but little is known about its role in concurrent training [CT, high-intensity interval (HIIT) plus resistance training (RT)] adaptations for metabolic syndrome (MetS) and health-related quality of life (HRQoL) markers. The aim of the present study was to determine the effects of a 20-week CT programme on MetS and HRQoL markers according to the SQ of morbidly obese patients. Methods: Twenty-nine morbidly obese patients were allocated to one of two groups: good sleep quality (GSQ, n = 15, 38.07 ± 12.26 years) and poor sleep quality (PSQ, n = 14, 40.79 ± 11.62 years). HRQoL, body mass index, waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), and plasma outcomes were measured. Results: The GSQ group reported significant changes (pre- vs. post-intervention) in WC (114.0 ± 3.1 vs. 110.4 ± 3.4 cm, p = 0.012), SBP (137.0 ± 4.3 vs. 125.6 ± 1.8 mmHg, p = 0.006), and HRQoL general health (51.33 ± 21.08 vs. 64.33 ± 16.24, p = 0.020). By contrast, the PSQ group showed significant changes only in SQ (9.00 ± 2.42 vs. 5.36 ± 2.84, p = 0.004). Conclusions: Morbidly obese PSQ patients showed a lower response for improving MetS and HRQoL markers after a 20-week CT programme than GSQ peers. However, there was a greater effect size for decreasing WC and SBP in favour of the GSQ compared with the PSQ group, suggesting that there are limitations to CT benefits on these outcomes in the PSQ group. These results call for more complex future studies.

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“…Both sleep quality and fatigue influence athletes’ health and readiness to train and compete [ 25 ]. Whilst there is high interest in sleep quality in sport science, due to its established link to recovery and performance [ 26 ], there is a paucity of research on MC-based changes in sleep within athletes. During menstrual bleeding and the follicular phase, female athletes spend more time in bed and more time in slow wave (deep) sleep compared to the luteal phase [ 27 ], which is in agreement with the preliminary findings in AFLW athletes in the current study.…”

Section: Discussionmentioning

confidence: 99%

A Pilot Study on the Impact of Menstrual Cycle Phase on Elite Australian Football Athletes

Carmichael

Thomson

Moran

et al. 2021

IJERPH

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The effect of the menstrual cycle on athlete performance, wellbeing and perceived exertion and fatigue is not well understood. Furthermore, it has not been investigated specifically in Australian Football athletes. This pilot study aimed to explore how naturally menstruating Australian Football athletes may be affected by menstrual cycle phase. The data collected from the routine monitoring of five naturally menstruating athletes (average menstrual cycle length of 28 ± 3 [SD] days) in one team (athlete age range 18–35 years) competing in the Women’s Australian Football League during the 2019 season were retrospectively analysed to compare performance (countermovement jump parameters and adductor squeeze pressure), perceived exertion, perceived fatigue and wellbeing (perceived sleep quality, stress and soreness) outcomes between the follicular and luteal phases. Performance, perceived exertion, stress and soreness did not appear to be affected by menstrual cycle phase (p > 0.17). However, perceived fatigue appeared to be significantly greater (p = 0.042) and sleep quality worse (p = 0.005) in the luteal phase. This pilot study suggests further research focusing on the effect of menstrual cycle phase on subjective fatigue and wellbeing is warranted.

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Science of sleep and sports performance – a scoping review

Cited by 27 publications

References 62 publications

Cross-cultural adaptation of the Brazilian version of the Athlete Sleep Behavior Questionnaire

Cross-cultural adaptation of the Brazilian version of the Athlete Sleep Behavior Questionnaire

Poor Sleep Quality Decreases Concurrent Training Benefits in Markers of Metabolic Syndrome and Quality of Life of Morbidly Obese Patients

A Pilot Study on the Impact of Menstrual Cycle Phase on Elite Australian Football Athletes

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