Nathaniel F. Watson
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View article: 0745 Is Brain Age Malleable to Sleep Apnea Therapy? An Exploratory Positive Airway Pressure Titration and Machine Learning-based Brain Age Study
0745 Is Brain Age Malleable to Sleep Apnea Therapy? An Exploratory Positive Airway Pressure Titration and Machine Learning-based Brain Age Study Open
Introduction Machine learning (ML) techniques offer powerful tools for analyzing complex physiologic data. One such tool is the ML-based Brain Age Index (BAI) which quantifies the difference between a person’s ML-determined brain age (BA) …
View article: 0334 Chronotype, Sleep Timing, Sleep Regularity, and Cancer Risk: A Systematic Review
0334 Chronotype, Sleep Timing, Sleep Regularity, and Cancer Risk: A Systematic Review Open
Introduction Sleep is a multidimensional modifiable lifestyle factor related to cancer risk. Prior research has primarily focused on sleep duration, despite the increasing importance of sleep timing and sleep regularity in the health resea…
View article: 0680 Clinical Validation of ECG-Based Obstructive Sleep Apnea Screening Using Machine Learning
0680 Clinical Validation of ECG-Based Obstructive Sleep Apnea Screening Using Machine Learning Open
Introduction Obstructive sleep apnea (OSA) is an underdiagnosed sleep-related breathing disorder. It is strongly associated with cardiovascular disorders, suggesting a moderate-to-high incidence of co-occurrence among cardiovascular diseas…
View article: 0683 Evaluating the Impact of Multi-Night Home Sleep Apnea Testing for Obstructive Sleep Apnea Diagnosis
0683 Evaluating the Impact of Multi-Night Home Sleep Apnea Testing for Obstructive Sleep Apnea Diagnosis Open
Introduction Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder. The majority of adults with OSA remain undiagnosed and untreated, highlighting the importance of accurate diagnosis to ensure timely and effective …
View article: 0822 AI-Enabled Narcolepsy Type-1 Screening with PPG: A Proof-of-Concept Study
0822 AI-Enabled Narcolepsy Type-1 Screening with PPG: A Proof-of-Concept Study Open
Introduction While highly specific, the current diagnostic paradigm for type 1 narcolepsy (NT1), defined largely by sleep-onset REM period event (SOREMP) observations in PSGs and MSLTs, remains limited by its NT1 disorder sensitivity and p…
View article: 0645 Real-World Incremental Economic Burden of Fatigue Among Patients with Obstructive Sleep Apnea in the Medicare Fee-for-Service Population
0645 Real-World Incremental Economic Burden of Fatigue Among Patients with Obstructive Sleep Apnea in the Medicare Fee-for-Service Population Open
Introduction Fatigue, distinct from sleepiness, is one of the most common obstructive sleep apnea (OSA) symptoms, and is associated with diminished quality of life, poor psychological and physical functioning and increased risk of occupati…
View article: 0637 Prevalence and Unmet Need of Obstructive Sleep Apnea in the United States
0637 Prevalence and Unmet Need of Obstructive Sleep Apnea in the United States Open
Introduction Obstructive sleep apnea (OSA) is a serious, chronic sleep-related breathing disease characterized by repeated upper airway obstructions during sleep, leading to disrupted breathing, sleep fragmentation, impaired sleep quality,…
View article: Longitudinal, Contactless, Mobile Sleep Monitoring Reveals Night-to-Night Sleep Variability as a Hallmark of Chronic Insomnia: Prospective Cohort Study (Preprint)
Longitudinal, Contactless, Mobile Sleep Monitoring Reveals Night-to-Night Sleep Variability as a Hallmark of Chronic Insomnia: Prospective Cohort Study (Preprint) Open
BACKGROUND Current longitudinal insomnia assessments are subjective. Accurate insomnia assessment requires objective, longitudinal, naturalistic measures. Objective, ecologically-valid, longitudinal sleep measurements are needed to help i…
View article: Chronotype, sleep timing, sleep regularity, and cancer risk: A systematic review
Chronotype, sleep timing, sleep regularity, and cancer risk: A systematic review Open
Sleep is a multidimensional modifiable lifestyle factor related to cancer risk. Prior research has primarily focused on sleep duration, despite the increasing importance of sleep timing and sleep regularity in the health research field. Th…
View article: Reply to Moline et al. Comment on “Alliance for Sleep Clinical Practice Guideline on Switching or Deprescribing Hypnotic Medications for Insomnia. J. Clin. Med. 2023, 12, 2493”
Reply to Moline et al. Comment on “Alliance for Sleep Clinical Practice Guideline on Switching or Deprescribing Hypnotic Medications for Insomnia. J. Clin. Med. 2023, 12, 2493” Open
We thank Moline et al [...]
View article: Sleep disruption due to nocturnal heartburn: a review of theevidence and clinical implications
Sleep disruption due to nocturnal heartburn: a review of theevidence and clinical implications Open
Nocturnal heartburn (NHB) is a symptom that affects up to 25% of the general population and has been shown to cause sleep disruption that adversely affects quality of life and psychomotor performance. Few studies have evaluated the associa…
View article: P059 Sleep and Fibromyalgia: Identifying and Managing Sleep Disorders.
P059 Sleep and Fibromyalgia: Identifying and Managing Sleep Disorders. Open
Introduction Little is known about the presentation and management of sleep problems in patients with fibromyalgia [FMS]. This pilot study aims to 1) characterise sleep/wake patterns and sleep disorders in participants with FMS, and 2) ass…
View article: Creatine supplementation for optimisation of physical function in the patient at risk of functional disability: A systematic review and meta-analysis
Creatine supplementation for optimisation of physical function in the patient at risk of functional disability: A systematic review and meta-analysis Open
Background The efficacy of creatine replacement through supplementation for the optimisation of physical function in the population at risk of functional disability is unclear. Methods We conducted a systematic literature search of MEDLINE…
View article: Insomnia and Death Anxiety: A Theoretical Model with Therapeutic Implications
Insomnia and Death Anxiety: A Theoretical Model with Therapeutic Implications Open
Insomnia is common, growing in prevalence [...]
View article: 0899 Use of Artificial Intelligence for Early Characterization of Patients with RBD/RWA
0899 Use of Artificial Intelligence for Early Characterization of Patients with RBD/RWA Open
Introduction The prevalence of polysomnography (PSG) confirmed REM sleep behavior disorder (RBD) has been estimated at 0.68% of the general population, and that of probable RBD at 5.65%. Isolated RBD is considered a pre-clinical marker of …
View article: 0928 The Self-Reported Practice of Light Exposure Recommendations in the Morning, Daytime, Evening, and Nighttime
0928 The Self-Reported Practice of Light Exposure Recommendations in the Morning, Daytime, Evening, and Nighttime Open
Introduction While it is well known that ocular light strongly entrains the central circadian clock, there has been a lack of evidence-based recommendations for daytime, evening, and nighttime light exposure for healthy adults. Recently, a…
View article: 0090 Sleep Architecture Associations with Brain Age: A Multi-Site Model Validation
0090 Sleep Architecture Associations with Brain Age: A Multi-Site Model Validation Open
Introduction Machine Learning (ML) can draw upon complex patient data to predict current and future health status, but the best performing ML models are often difficult to interpret. One such ML-defined health marker is the brain age index…
View article: 0952 A Long Winter’s Sleep: What Does Big Data From Consumer Sleep Technology Tell Us?
0952 A Long Winter’s Sleep: What Does Big Data From Consumer Sleep Technology Tell Us? Open
Introduction Light is the most powerful zeitgeber influencing sleep-wake patterns, and winter’s shorter days have profound effects on mood, energy, and metabolic function. Here, we leverage big data from consumer sleep technology to examin…
View article: 0463 Deep Learning Classification of Future PAP Adherence based on CMS and other Adherence Criteria
0463 Deep Learning Classification of Future PAP Adherence based on CMS and other Adherence Criteria Open
Introduction Improving positive airway pressure (PAP) adherence is crucial to sleep apnea therapy success. Although behavioral interventions may be deployed to increase PAP adherence, operationalization remains an ongoing clinical challeng…
View article: 0375 Increased Engagement with a Tailored Sleep Guide is Associated with Reduced Variability in Sleep Efficiency in Chronic Insomnia
0375 Increased Engagement with a Tailored Sleep Guide is Associated with Reduced Variability in Sleep Efficiency in Chronic Insomnia Open
Introduction Insomnia is highly prevalent, but difficult to diagnose due to night-to-night sleep variability, and difficult to treat in part due to the lack of trained providers. Consumer sleep technology (CST) allows for longitudinal slee…
View article: 0279 Sleep Hygiene for Sleep Health in the General Population: What Does Data From Consumer Sleep Technology Tell Us?
0279 Sleep Hygiene for Sleep Health in the General Population: What Does Data From Consumer Sleep Technology Tell Us? Open
Introduction Despite being used and widely recommended since the 1970s, few studies have examined whether adherence to sleep hygiene practices affect objectively measured sleep in non-clinical populations. While individual components of sl…
View article: 0464 Deep Learning to Predict PAP Adherence in Obstructive Sleep Apnea
0464 Deep Learning to Predict PAP Adherence in Obstructive Sleep Apnea Open
Introduction Machine Learning (ML) algorithms to predict Positive Airway Pressure (PAP) adherence may support personalized clinical management. Models were developed to predict adherence at various time-points after PAP initiation and in m…
View article: 0574 Artificial Intelligence to Aid in Diagnosis of Type I Narcolepsy
0574 Artificial Intelligence to Aid in Diagnosis of Type I Narcolepsy Open
Introduction Accurate diagnosis of Type 1 narcolepsy (T1N) is cumbersome – involving clinical, biological, and electrophysiological components. Multiple sleep latency tests (MSLT) are central to diagnosis; however, current medications, sle…
View article: Do Insomnia Treatments Improve Daytime Function?
Do Insomnia Treatments Improve Daytime Function? Open
A scientific advisory panel of seven U.S. and Canadian sleep experts performed a clinical appraisal by comparing general medical opinion, assessed via a survey of practicing clinicians, regarding insomnia treatment, with the available scie…
View article: Alliance for Sleep Clinical Practice Guideline on Switching or Deprescribing Hypnotic Medications for Insomnia
Alliance for Sleep Clinical Practice Guideline on Switching or Deprescribing Hypnotic Medications for Insomnia Open
Determining the most effective insomnia medication for patients may require therapeutic trials of different medications. In addition, medication side effects, interactions with co-administered medications, and declining therapeutic efficac…
View article: What Should Be the Focus of Treatment When Insomnia Disorder Is Comorbid with Depression or Anxiety Disorder?
What Should Be the Focus of Treatment When Insomnia Disorder Is Comorbid with Depression or Anxiety Disorder? Open
Insomnia is a significant, highly prevalent, persistent public health problem but often remains undiagnosed and untreated. Current treatment practices are not always evidence-based. When insomnia is comorbid with anxiety or depression, tre…
View article: Long-Term Use of Insomnia Medications: An Appraisal of the Current Clinical and Scientific Evidence
Long-Term Use of Insomnia Medications: An Appraisal of the Current Clinical and Scientific Evidence Open
While evidence supports the benefits of medications for the treatment of chronic insomnia, there is ongoing debate regarding their appropriate duration of use. A panel of sleep experts conducted a clinical appraisal regarding the use of in…
View article: The pillars of health: influence of multiple lifestyle behaviors on body mass index and depressive symptoms in adult twins
The pillars of health: influence of multiple lifestyle behaviors on body mass index and depressive symptoms in adult twins Open
Background Guidelines promoting healthy lifestyles are cornerstones of chronic disease prevention and treatment. The purpose of this study is to investigate independent and joint associations of five key health behaviors with health outcom…
View article: 0323 Gender-Specific Differences in Self-Reported Factors Attributed to Sleep Disruption
0323 Gender-Specific Differences in Self-Reported Factors Attributed to Sleep Disruption Open
Introduction Women are more likely to report sleep difficulties. There are many ways for sleep to be disrupted (social influences, external sensory stimuli, somatic cues) but limited data exists on the relative burden of these disruptors. …
View article: 0327 Age-Related Associations Between Chronotype and Sleep-Wake Cycles: A Big Data Analysis
0327 Age-Related Associations Between Chronotype and Sleep-Wake Cycles: A Big Data Analysis Open
Introduction Circadian rhythms progressively delay throughout adolescence until older adulthood when they advance to become early as children. Chronotype represents a subjective assessment of when one feels their performance is optimal. Ev…