Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis

Claudino, João Gustavo; Gabbett, Tim J.; Souza, Helton de Sá; Simim, Mário Antônio de Moura; Fowler, Peter; Borba, Diego de Alcântara; Melo, Marco Antônio Cezário de; Bottino, Altamiro; Loturco, Irineu; D’Almeida, Vânia; Amadio, Alberto Carlos; Serrão, Júlio Cerca; Nassis, George P.

doi:10.1136/bmjsem-2018-000475

Cited by 52 publications

(46 citation statements)

References 124 publications

(150 reference statements)

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“…Therefore, the easily administrable qualitative questionnaire approach may offer a practically compatible first-step (triage) towards identifying sleep issues within large squads of players allowing economical prescription of quantitative assessment of valid player subsets. A recent systematic review and meta-analysis of studies that monitored sleep among team sports athletes supports this notion, they concluded that sleep efficiency using actigraphy or PSQI are both indicative of sleep quality 57. Future research could benefit from employing the methods adopted here, at different stages of the season (which could include Ramadan), to provide greater understanding of the magnitude of challenge these athletes face to obtain appropriate sleep across a season.…”

Section: Discussionmentioning

confidence: 76%

Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

Khalladi

Farooq

Souissi

et al. 2019

BMJ Open Sport Exerc Med

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ObjectiveInsufficient sleep duration and quality has negative effects on athletic performance, injury susceptibility and athlete development. This study aimed to assess the sleep characteristics of professional Qatar Stars League (QSL) soccer players.MethodsIn a cross-sectional study, QSL players (n=111; 23.7±4.8 years) completed three questionnaires to screen sleep disorders: (1) Pittsburgh Sleep Quality Index (PSQI), (2) Insomnia Severity Index (ISI) and (3) Epworth Sleepiness Scale (ESS). Poor sleep quality was defined as PSQI≥5, excessive daytime sleepiness was defined by ESS>8 and insomnia was defined as ISI≥11.ResultsThe prevalence of poor sleep quality (PSQI≥5) was 68.5%, with subthreshold insomnia (ISI≥11) 27.0% and daytime sleepiness 22.5% (ESS>8). Sleep quality was positively associated with insomnia (r=0.42, p<0.001) and daytime sleepiness (r=0.23, p=0.018). Age, anthropometry, body composition and ethnicity were not associated with any of the reported sleep quality parameters.ConclusionThe prevalence of poor sleep quality (68.5%) reported should concern practitioners. Increasing awareness of the importance of sleep relative to athletic performance, recovery, injury and illness appears prudent. Further, regular qualitative/quantitative sleep monitoring may help target subsequent evidence-informed interventions to improve sleep in those demonstrating undesirable sleep traits.

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Section: Discussionmentioning

confidence: 76%

Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

Khalladi

Farooq

Souissi

et al. 2019

BMJ Open Sport Exerc Med

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“…In fact, extended TST (commonly used as sleep quantity index [4]) can lead to better psychomotor accomplishment and technical accuracy [12], with likely positive effects on competitive performance [13]. Besides sleep quantity analyses, sleep efficiency (SE) is recommended for monitoring sleep patterns as a sleep quality variable [4, 14], especially in elite athletes [15]. According to the National Sleep Foundation report [16], SE ≥85% is generally recommended as an appropriate indicator of good sleep quality, whereas a sleep efficiency ≤74% indicates inappropriate sleep quality for young adults/adults.…”

Section: Introductionmentioning

confidence: 99%

Intra-individual variability of sleep and nocturnal cardiac autonomic activity in elite female soccer players during an international tournament

Costa

Figueiredo

Nakamura

et al. 2019

Preprint

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17 18 19 Running title: Sleep and nocturnal heart rate variability individual profiles in elite female 20 soccer. 21 22 Keywords: overnight measurements, parasympathetic system, sleep accelerometer, 23 recovery, women football 24 2 25 Abstract 26 Purpose: This study provides insights into the individual sleep patterns and 27 nocturnal cardiac autonomic activity responses of elite female soccer players during an 28 international tournament. Materials and methods: Twenty elite female soccer players 29 (aged 25.2±3.1 years) wore wrist actigraph units and heart rate (HR) monitors during 30 night-sleep throughout 9 consecutive days (6 day-time training sessions [DT], 2 day-time 31 matches [DM], and 1 evening-time match [EM]) of an international tournament. Training 32 and match loads were monitored using the session-rating of perceived exertion (s-RPE) 33 and wearable 18-Hz GPS (total distance covered [TD], training and match exposure time, 34 and high-speed running [HSR]) to characterize training and match loads. Results: 35 Individually, s-RPE, TD, exposure time, and HSR during training sessions ranged from 36 20 to 680 arbitrary units (AU), 892 to 5176 m, 20 to 76 min, and 80 to 1140 m, 37 respectively. During matches, s-RPE, TD, exposure time, and HSR ranged from 149 to 38 876 AU, 2236 to 11210 m, 20 to 98 min, and 629 to 3213 m, respectively. Individually, 39 players slept less than recommended (<7 hours) on several days of the tournament, 40 especially after EM (n=8; TST ranging between 6:00-6:54 h). Total sleep time coefficient 41 of variation (CV) ranged between 3.1 and 18.7%. However, all players presented good 42 sleep quality (i.e., sleep efficiency 75%; individual range between: 75-98%) on each 43 day of the tournament. Most of the players presented small fluctuations in nocturnal 44 cardiac autonomic activity (individual nocturnal heart rate variability [HRV] ranged from 45 3.91-5.37 ms and HRV CV ranged from 2.8-9.0%), while two players presented higher 46 HRV CV (11.5 and 11.7%; respectively). Conclusion: Overall, elite female soccer 47 players seemed to be highly resilient to training and match schedules and loads during a 48 9 day international tournament. 3 49 Introduction 50 Paragraph 1. Elite soccer players are constantly exposed to multiple high 51 physiological demands due to an elevated number of training sessions and matches played 52 in National and international competitions, often with congested match calendars [1]. In 53 some women's competitive tournaments, only one to two days of recovery are given 54 between matches [2]. In this scenario, optimizing recovery is required to reduce the risk 55 of transitioning into a state of excessive fatigue as well as to reduce the risk of injury [3]. 56 Paragraph 2. One of the most critical aspects of the recovery continuum for 57 elite athletes is obtaining a sufficient quantity and quality of sleep [4]. In fact, athletes 58 and coaches from several sports including soccer have ranked sleep as the most important 59 recovery strategy [5]. A minimum of...

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“…Use of appropriate and relevant keywords is essential for improving the accuracy of the findings, and it directly affects the findings of a bibliometric study [33]. In order to determine relevant keywords, several recent systematic reviews on sleep in athletes were examined [10,[44][45][46]. The literature search was performed following several steps to ensure that the retrieved results were obtained with maximum accuracy, limiting the likelihood of false positive results.…”

Section: Database and Search Strategymentioning

confidence: 99%

Global Research Output on Sleep Research in Athletes from 1966 to 2019: A Bibliometric Analysis

Lastella

Memon²,

Vincent

2020

Clocks & Sleep

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This study examined sleep research in athletes published between 1966 and 2019, through a bibliometric analysis of research output in the Scopus database. Following a robust assessment of titles, the bibliometric indicators of productivity for studies included in the final analysis were: Distribution of publications and citations (excluding self-citations), top ten active journals, countries, institutions and authors, single- and multi-country collaboration, and 25 top-cited papers. Out of the 1015 papers, 313 were included in the final analysis. The majority of the papers were research articles (n = 259; 82.8%) and published in English (n = 295; 94.3%). From 2011, there was a dramatic increase in papers published (n = 257; 82.1%) and citations (n = 3538; 91.0%). The number of collaborations increased after 2001, with papers published through international (n = 81; 25.9%) and national (n = 192; 61.3%) collaboration. Australia was the most prolific country in terms of number of publications (n = 97; 31.0%), and citations (n = 1529; 15.8%). In conclusion, after the beginning of the twenty-first century, the scientific production on sleep research in athletes has seen significant growth in publication and citation output. Future research should focus on interventions to improve sleep in athletes.

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Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis

Cited by 52 publications

References 124 publications

Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

Intra-individual variability of sleep and nocturnal cardiac autonomic activity in elite female soccer players during an international tournament

Global Research Output on Sleep Research in Athletes from 1966 to 2019: A Bibliometric Analysis

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