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Detecting Sleep/Wake Rhythm Disruption Related to Cognition in Older Adults With and Without Mild Cognitive Impairment Using the myRhythmWatch Platform: Feasibility and Correlation Study

Detecting Sleep/Wake Rhythm Disruption Related to Cognition in Older Adults With and Without Mild Cognitive Impairment Using the myRhythmWatch Platform: Feasibility and Correlation Study

From the nonparametric method, we calculated the cross-daily stability (inter-daily stability, measuring the consistency of circadian sleep/wake activity rhythms across days); rhythm strength (relative amplitude, measuring the standardized peak-trough difference of 24-hour activity rhythms); and sleep/wake rhythm fragmentation (intradaily variability or IV, measuring the frequency and extent of transitions in activity levels).

Caleb D Jones, Rachel Wasilko, Gehui Zhang, Katie L Stone, Swathi Gujral, Juleen Rodakowski, Stephen F Smagula

JMIR Aging 2025;8:e67294

The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: Call for Comprehensive Research on Sleep Infodemiology and Infoveillance

The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: Call for Comprehensive Research on Sleep Infodemiology and Infoveillance

Similarly, the misconception that one can “catch up” on lost sleep during weekends can lead to erratic sleep patterns that disrupt the body’s natural circadian rhythm and other biological rhythms, exacerbating sleep problems. Low sleep efficiency can be negatively impacted by the myth that “lying in bed with your eyes closed is almost as good as sleeping.”

Nicola Luigi Bragazzi, Sergio Garbarino

JMIR Infodemiology 2024;4:e57748

Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study

Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study

The patterns over 24 hours of accelerometry and heart rate measurements collected continuously (epochs defined through user settings ranging from hourly to continuously during workouts) through the smartwatch will be analyzed to retrieve relevant circadian (ie, of approximately 1 day) physiology parameters through cosinor, nonparametric, and hidden Markov model methods [37-40].

Pasquale F Innominato, Jamie H Macdonald, Wendy Saxton, Laura Longshaw, Rachel Granger, Iman Naja, Carlo Allocca, Ruth Edwards, Solah Rasheed, Frans Folkvord, Jordi de Batlle, Rohit Ail, Enrico Motta, Catherine Bale, Claire Fuller, Anna P Mullard, Christian P Subbe, Dawn Griffiths, Nicholas I Wreglesworth, Leandro Pecchia, Giuseppe Fico, Alessio Antonini

JMIR Res Protoc 2024;13:e52957

Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled Trial

Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled Trial

Patients with major depression exhibit various circadian rhythmic abnormalities. These include day-to-day instability, drifting of the sleep-wake cycle [1-3], diurnal change in mood [4], alteration in cortisol rhythm [5], and changes in the circadian pattern of gene expression and metabolism in the brain [6,7]. Furthermore, mood symptoms are closely linked to the timing of sleep, and sleep delay often causes mood deterioration and sleep phase advancement, generating an antidepressant effect [1,8,9].

Anne Sofie Aggestrup, Signe Dunker Svendsen, Anne Præstegaard, Philip Løventoft, Lasse Nørregaard, Ulla Knorr, Henrik Dam, Erik Frøkjær, Konstantin Danilenko, Ida Hageman, Maria Faurholt-Jepsen, Lars Vedel Kessing, Klaus Martiny

JMIR Ment Health 2023;10:e50072

Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing

Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing

Since the behaviors are daily and repetitive, we use the term “circadian EMA” (c EMA) and label all similar apps as a particular c EMA app. In general, all EMA apps address circadian problems: For example, how does a participant’s mood change over multiple days [15] and how much exercise has a participant been getting and does that correlate with sleep [16]?

Thomas B Benjamin Woolf, Attia Goheer, Katherine Holzhauer, Jonathan Martinez, Janelle W Coughlin, Lindsay Martin, Di Zhao, Shanshan Song, Yanif Ahmad, Kostiantyn Sokolinskyi, Tetyana Remayeva, Jeanne M Clark, Wendy Bennett, Harold Lehmann

JMIR Form Res 2021;5(7):e26297