Sleep4Performance Podcast

Ian C. Dunican, Jennifer Walsh, Charles C. Higgins, Maddison J. Jones, Kathleen Maddison, John A. Caldwell, Hillman David & Peter R. Eastwood (2018) Prevalence of sleep disorders and sleep problems in an elite super rugby union team, Journal of Sports Sciences, DOI: 10.1080/02640414.2018.1537092

The aim of this study was to determine the prevalence of sleep disorders in an elite rugby union team using in-laboratory polysomnography (PSG) and sleep questionnaires. Twenty-five elite rugby union players underwent a night of PSG during the “off-season” of the Super Rugby competition to assess their sleep. Of interest were measurements that detected the presence of obstructive sleep apnea (OSA; apnea-hypopnea index ≥5 events/hr) and the presence of moderate-severe periodic leg movements during sleep (PLMs; ≥15 events/hr). Players completed sleep-related questionnaires to assess daytime sleepiness, perception of insomnia, risk of OSA, and the presence of restless legs syndrome (RLS) and underwent basic anthropometric assessments including body mass index and neck circumference. OSA was present in 24% (n=6) of players and PLMs ≥15 events/hr in 12% (n=3). Questionnaire responses showed that all players had insomnia defined subthreshold insomnia and excessive daytime sleepiness, two players were identified as being at risk for OSA and none were classified as having RLS. In conclusion, sleep disorders and excessive sleepiness are common in elite rugby union players. A process to identify and manage sleep disorders should be considered by teams to optimise their physical recovery, athletic performance and to safeguard their health.

https://www.tandfonline.com/doi/abs/10.1080/02640414.2018.1537092?journalCode=rjsp20

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In this episode we discuss Fatigue, alcohol and performance. This extra long link will allow you to open the paper :)

https://www.google.com.au/url?sa=t&rct=j&q=&esrc=s&source=web&cd=17&ved=2ahUKEwjy9paGiYjeAhUUZt4KHSPnBxw4ChAWMAZ6BAgBEAI&url=https%3A%2F%2Fdspace.library.uu.nl%2Fbitstream%2Fhandle%2F1874%2F10431%2Ffrenkel_97_entropy_face-centred_cubic.pdf%3Fsequence%3D1&usg=AOvVaw24ki3KNJlUzMXc65Ex7WA5

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www.sleep4performance.com.au 

In this episode we take a look at sleep in a fly in fly out mining operation.

Abstract: Good sleep is essential for optimal performance, yet few studies have examined the sleep/wake behaviour of elite athletes. The aim of this study was to assess the impact of early-morning training on the amount of sleep obtained by world-class swimmers. A squad of seven swimmers from the Australian Institute of Sport participated in this study during 14 days of high-intensity training in preparation for the 2008 Olympic Games. During these 14 days, participants had 12 training days, each starting with a session at 06:00 h, and 2 rest days. For each day, the amount of sleep obtained by participants was determined using self-report sleep diaries and wrist-worn activity monitors. On nights that preceded training days, participants went to bed at 22:05 h (s=00:52), arose at 05:48 h (s=00:24) and obtained 5.4 h (s=1.3) of sleep. On nights that preceded rest days, participants went to bed at 00:32 h (s=01:29), arose at 09:47 h (s=01:47) and obtained 7.1 h (s=1.2) of sleep. Mixed model analyses revealed that on nights prior to training days, bedtimes and get-up times were significantly earlier (p

In this weeks Audio Abstract Review we we take a look at Sleep or swim? Early-morning training severely restricts the amount of sleep obtained by elite swimmers.

Good sleep is essential for optimal performance, yet few studies have examined the sleep/wake behaviour of elite athletes. The aim of this study was to assess the impact of early-morning training on the amount of sleep obtained by world-class swimmers. A squad of seven swimmers from the Australian Institute of Sport participated in this study during 14 days of high-intensity training in preparation for the 2008 Olympic Games. During these 14 days, participants had 12 training days, each starting with a session at 06:00 h, and 2 rest days. For each day, the amount of sleep obtained by participants was determined using self-report sleep diaries and wrist-worn activity monitors. On nights that preceded training days, participants went to bed at 22:05 h (s=00:52), arose at 05:48 h (s=00:24) and obtained 5.4 h (s=1.3) of sleep. On nights that preceded rest days, participants went to bed at 00:32 h (s=01:29), arose at 09:47 h (s=01:47) and obtained 7.1 h (s=1.2) of sleep. Mixed model analyses revealed that on nights prior to training days, bedtimes and get-up times were significantly earlier (p

In this weeks episode we take a look at a review paper on Cannabis, Cannabinoids, and Sleep: a Review of the Literature. You can access the full paper here via ths link https://www.ncbi.nlm.nih.gov/m/pubmed/28349316/

The current review aims to summarize the state of research on cannabis and sleep up to 2014 and to review in detail the literature on cannabis and specific sleep disorders from 2014 to the time of publication.

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In this weeks episode we review a paper I had published earlier this year.

Laboratory and home comparison of wrist-activity monitors and polysomnography in middle-aged adults.

https://link.springer.com/article/10.1007/s41105-017-0130-x

Accurate measurement of time at lights out is essential for calculation of several measures of sleep in wrist-activity monitors. While some devices use subjective reporting of time of lights out from a sleep diary, others utilise an automated proprietary scoring algorithm to calculate time at lights out, thereby negating the need for a sleep diary. This study aimed to compare sleep measures from two such devices to polysomnography (PSG) measures (In laboratory) and against each other when worn at home (At home). Fifty middle-aged adults from the Raine Study underwent overnight PSG during which they wore an ActiGraph™ and a Readiband™. They also wore both devices at home for 7 nights. The Readiband uses an automated proprietary algorithm to determine time at lights out whereas the ActiGraph requires completion of a sleep diary noting this time. In laboratory, compared to PSG: Readiband underestimated time at lights out, sleep onset, and wake after sleep onset, overestimated sleep latency and duration (p

An old recording from a discussion with my friend Dr Reid Reale in Essen, Germany last year. The sound quality is not great within this episode from my side but Reid comes across loud and clear with some great wisdom on making weight in combat sports. I hope you enjoy this special epsiode.

Check out Reid's website http://combatsportsnutrition.com

Check out some of his great resources on his site.

Cheers Dr Ian C Dunican  

[email protected]

Twitter @sleep4perform

www.sleep4performance.com.au