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Eduardo Salazar, Mayank Gupta, Meynard Toledo, Qiao Wang, Pavan Turaga, James M. Parish and Matthew P. Buman

specialist prior to being scheduled for polysomnography. Participants meeting the eligibility criteria were recruited prior to the PSG diagnostic visit for suspected OSA. OSA Screening Measures Used Patients were assessed for risk of OSA using the STOP-BANG questionnaire and the Modified Epworth Sleepiness

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Daniel J. Davies, Kenneth S. Graham and Chin Moi Chow


The use of daytime napping as a recovery tool following exercise is virtually unexplored. The objective of this study was to assess the quality of daytime nap sleep following endurance training in an athletic population, and to appraise the optimal circadian timing of the nap and the time interval between training and the nap.


Six physically trained male subjects (22.5 ± 2.4 y) performed four separate standardized 90-min endurance training sessions followed by a 90-min daytime nap either 1 or 2 h after training (time interval), commencing at either 10:30 or 11:30 (circadian timing). During the nap, sleep was monitored using polysomnography. Subjective measurements of sleep quality, alertness and preparedness to train following a nap were recorded using a visual analog scale.


The duration of slow wave sleep (SWS) was significantly greater during the 11:30 naps (13.7 ± 9.0 min) compared with the 10:30 naps (6.9 ± 8.8 min) (P = .049). There was no significant difference in SWS duration between a 1-h (10.6 ± 10.2 min) or 2-h (10.0 ± 9.0 min) time interval between training and the nap (P = .82). No other sleep variables differed significantly according to circadian timing or time interval.


Recovery naps commenced later in the morning contain more SWS than earlier naps. The data imply that daytime naps have a potential role as a valuable recovery tool following endurance exercise, given the suggested energy restorative functions of SWS.

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

Few studies have examined the association between sleep and burnout symptoms in elite athletes. We recruited 257 young elite athletes (M age = 16.8 years) from Swiss Olympic partner schools. Of these, 197 were reassessed 6 months later. Based on the first assessment, 24 participants with clinically relevant burnout symptoms volunteered to participate in a polysomnographic examination and were compared with 26 (matched) healthy controls. Between 12% and 14% of young elite athletes reported burnout symptoms of potential clinical relevance, whereas 4–11% reported clinically relevant insomnia symptoms. Athletes with clinically relevant burnout symptoms reported significantly more insomnia symptoms, more dysfunctional sleep-related cognitions, and spent less time in bed during weeknights (p < .05). However, no significant differences were found for objective sleep parameters. A cross-lagged panel analysis showed that burnout positively predicted self-reported insomnia symptoms. Cognitive-behavioral interventions to treat dysfunctional sleep-related cognitions might be a promising measure to reduce subjective sleep complaints among young elite athletes.

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Sarah Kölling, Rob Duffield, Daniel Erlacher, Ranel Venter and Shona L. Halson

classification of the respective stages of sleep are defined based on a collection of physiological characteristics determined from the gold-standard measures of polysomnography. These parameters are derived from electroencephalogram, electromyogram, and electrooculogram measures. 7 Additional sensors to

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Kelly R. Evenson and Camden L. Spade

and only two studies assessed validity for Garmin activity trackers. Both validity studies used a sleep diary for the criterion measure rather than the gold standard polysomnography, which may be why findings were generally poor and variable. Sleep time was overestimated with the Garmin Vivosmart

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* Mirko Brandes * 2 2 94 102 10.1123/jmpb.2018-0032 jmpb.2018-0032 Identification of Apnea Events Using a Chest-Worn Monitor Compared to Laboratory-Based Polysomnography in Patients Suspected of Obstructive Sleep Apnea Eduardo Salazar * Mayank Gupta * Meynard Toledo * Qiao Wang * Pavan Turaga

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Natashia Swalve, Brianna Harfmann, John Mitrzyk and Alexander H. K. Montoye

and overall sleep quality, has traditionally been measured using polysomnography, which is considered a gold standard measure of sleep ( Marcus et al., 2002 ). However, there are a number of issues with polysomnography, including expense, inaccessibility to researchers, and its use in an artificial

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Martin J. MacInnis, Christine E. Dziedzic, Emily Wood, Sara Y. Oikawa and Stuart M. Phillips

acknowledged. First, although actigraphy has good agreement with polysomnography for measuring sleep duration ( Quante et al., 2018 ), the lack of polysomnography, the gold standard for assessing sleep, is a limitation to our study. Second, plasma tryptophan concentrations were not measured in the present

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Bailey Peck, Timothy Renzi, Hannah Peach, Jane Gaultney and Joseph S. Marino

to therapeutic intervention that improves quality of life and reduces risk for SDB-related comorbidities. George et al 9 evaluated the prevalence of SDB in participating professional football players by randomly assessing 52 out of 320 players via polysomnography. Based on their findings, the study

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Tatiana Plekhanova, Alex V. Rowlands, Tom Yates, Andrew Hall, Emer M. Brady, Melanie Davies, Kamlesh Khunti and Charlotte L. Edwardson

on personal and sleep characteristics such as weight status, ethnicity, and habitual sleep duration of participants ( Lauderdale et al., 2008 ). Polysomnography (PSG) is considered the gold standard for sleep assessment. Nevertheless, PSG is impractical, expensive, and labor‐intensive and hence not