drdeanjmiller.bsky.social
Sleep Scientist | Senior Lecturer
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@aunz.theconversation.com
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This was one of the most enjoyable protocols we've run at CQUniversity's Appleton Institute, and the team involved continues to set the bar for rigorous research in sleep and nutrition.
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We investigated whether a nutritional intervention containing ingredients that may influence sleep (e.g., tryptophan) could improve subjective or objective sleep in healthy young males. The results? No significant effects—but an important reminder that null findings still provide valuable insights!
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@phdsleepy.bsky.social
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Great to hear! A balanced consideration of personal preference, context, and limitations of technology is the best practical way forward - imho.
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www.sciencedirect.com/science/arti...
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There are also more recent validations from other teams below!
www.mdpi.com/1424-8220/24...
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Please have a read of the paper and send through any thoughts, questions, or critiques!
#appletonpublications #academicchatter #academicpapers #sleeppeeps #sportscience www.mdpi.com/1424-8220/22...
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HRV: Again, the way in which HRV was sampled differed across the devices (please read paper for context). The devices ranged from low relative agreement to almost perfect relative agreement with ECG (Bland Altman plots below).
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HR : The way in which HR was sampled differed across the devices (again please read paper for context). The devices ranged from moderate relative agreement to almost perfect relative agreement with ECG (Bland Altman plots below).
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All devices are are valid for field-based assessment of the timing and duration of sleep. While all can improve their assessment of sleep stage, better performing devices may provide valuable information when monitoring for sustained, meaningful changes in sleep stage.
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All devices detected >90% of sleep, but Polar, Oura Gen 2, WHOOP 3.0 and Somfit outperformed Apple Watch and Garmin for detecting wake. The devices ranged from 50 to 65% agreement for multi-state sleep when compared to PSG. But what does this mean?
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The wearable devices were: Apple Watch S6, Garmin F'runner 245 Music, Polar Vantage V, Oura Ring G2, WHOOP 3.0, and Somfit.Records from each device (see paper for specific data extraction) were lined up with PSG-derived and ECG-derived data.
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In collaboration with The Australian Institute of Sport, we recruited 53 participants to spend 1 night in the Appleton Institute Sleep Lab. Participants spent 9h in bed wearing 6 devices, as well as gold standard polysomnography (PSG; sleep) and electrocardiogram (ECG; heart rate).
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Caveat: more detail than can be condensed into a thread is required to fully understand such validations. Please use this thread as a primer for digesting the full paper!
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#sleep #sleepscience #sleepmedicine #medicine
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Sleep scientist here 👋 always happy to chat sleep 😴
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mdpi.com/1424-8220/22/1…
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Overall, this means that WHOOP 3.0-derived HR and HRV are acceptable for inferring readiness to perform exercise among athletes. Sport and exercise science practitioners may confidently use @WHOOP HR and HRV in practical settings.
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The typical day-to-day variability in WHOOP 3.0-derived HRV was comparable to commonly utilised recording devices and scientific protocols, regardless of training load (please see discussion for specific ranges).
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To contextualise the weekly values of HRV and HR by training load, daily training load was quantified via WHOOP’s daily “Strain”, which measures “total cardiovascular load” on a scale of 0 to 21.
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Eleven athletes wore the @WHOOP strap 3.0 during a 16-weeks of routine training in preparation for the 2020(1) Tokyo Olympic Games. Daily measures of HR and HRV were extracted for analyses and transformed to provide a 7-day coefficient of variation.
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Assessment of autonomic nervous system function using heart rate (HR) and HR variability (HRV) are popular and sensitive measures of "readiness to perform" in athletes.
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Once again, please use this thread as a primer for digesting the full paper. Happy to answer any questions!
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Please have a read of the paper and send through any thoughts, questions, or critiques!
#appletonpublications #academicchatter #academicpapers #sleeppeeps #sportscience
mdpi.com/1424-8220/22/1…
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HRV: Again, the way in which HRV was sampled differed across the devices (please read paper for context). The devices ranged from low relative agreement to almost perfect relative agreement with ECG (Bland Altman plots below).
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HR : The way in which HR was sampled differed across the devices (again please read paper for context). The devices ranged from moderate relative agreement to almost perfect relative agreement with ECG (Bland Altman plots below).
comment in response to
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All devices are are valid for field-based assessment of the timing and duration of sleep. While all can improve their assessment of sleep stage, better performing devices may provide valuable information when monitoring for sustained, meaningful changes in sleep stage.
comment in response to
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All devices detected >90% of sleep, but Polar, Oura Gen 2, WHOOP 3.0 and Somfit outperformed Apple Watch and Garmin for detecting wake. The devices ranged from 50 to 65% agreement for multi-state sleep when compared to PSG. But what does this mean?
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The wearable devices were: Apple Watch S6, Garmin F'runner 245 Music, Polar Vantage V, Oura Ring G2, WHOOP 3.0, and Somfit.Records from each device (see paper for specific data extraction) were lined up with PSG-derived and ECG-derived data.
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mdpi.com/1455682
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#appletonpublications
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also @howlingdingo you will enjoy the acknowledgements.
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Great team on this project led by @sleeppsyc, @PhDsleepy, @AaronTScanlan, @ThePhaseShifter, @CBTmin, @KatyaKovac. Also check out:
onlinelibrary.wiley.com/doi/full/10.11…
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*Great paper by @emmacowley44
doi.org/10.1123/wspaj.…