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Sleep Medicine in Personalized Medicine
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Sleep Medicine in Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy and Drug Delivery".

Deadline for manuscript submissions: closed (5 April 2024) | Viewed by 789

Special Issue Editor

Dr. Claudio Liguori

E-Mail Website
Guest Editor
Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier, 00133 Rome, Italy
Interests: sleep; EEG; epilepsy; sleep disorders; OSA; insomnia; RBD and parasomnias; comorbidities of epilepsy; electrophysiology; pharmacology of sleep and epilepsy; neurodegeneration and sleep; CSF biomarkers; neurodegeneration and epilepsy

Special Issue Information

Dear Colleagues,

Sleep has a fundamental role in achieving a healthy life and increasing attention has been paid to the beneficial role of sleep not only as a cognitive function and on the associated neuropathology processes, but also on entire body functioning.

This Special Issue will focus on recognizing the detrimental effects of sleep disorders on brain and body health and on the need of personalized approaches for detecting and treating sleep disorders in clinical settings, in particular in neurology, psychiatry, and geriatrics.

We invite original manuscripts or brief communications with recent and novel data, narrative reviews and systematic reviews with meta-analysis, opinion and general consensus or guidelines for better diagnosing and treating sleep disorders.

Dr. Claudio Liguori
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sleep
  • sleep–wake cycle
  • brain
  • body
  • health

Published Papers (1 paper)

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Research

14 pages, 1599 KiB  
Article
Deciphering the Link: Correlating REM Sleep Patterns with Depressive Symptoms via Consumer Wearable Technology
by Cătălina Angela Crișan, Roland Stretea, Maria Bonea, Vadim Fîntînari, Ioan Marian Țața, Alexandru Stan, Ioana Valentina Micluția, Răzvan Mircea Cherecheș and Zaki Milhem
J. Pers. Med. 2024, 14(5), 519; https://doi.org/10.3390/jpm14050519 - 14 May 2024
Viewed by 626
Abstract
This study investigates the correlation between REM sleep patterns, as measured by the Apple Watch, and depressive symptoms in an undiagnosed population. Employing the Apple Watch for data collection, REM sleep duration and frequency were monitored over a specified period. Concurrently, participants’ depressive [...] Read more.
This study investigates the correlation between REM sleep patterns, as measured by the Apple Watch, and depressive symptoms in an undiagnosed population. Employing the Apple Watch for data collection, REM sleep duration and frequency were monitored over a specified period. Concurrently, participants’ depressive symptoms were evaluated using standardized questionnaires. The analysis, primarily using Spearman’s correlation, revealed noteworthy findings. A significant correlation was observed between an increased REM sleep proportion and higher depressive symptom scores, with a correlation coefficient of 0.702, suggesting a robust relationship. These results highlight the potential of using wearable technology, such as the Apple Watch, in early detection and intervention for depressive symptoms, suggesting that alterations in REM sleep could serve as preliminary indicators of depressive tendencies. This approach offers a non-invasive and accessible means to monitor and potentially preempt the progression of depressive disorders. This study’s implications extend to the broader context of mental health, emphasizing the importance of sleep assessment in routine health evaluations, particularly for individuals exhibiting early signs of depressive symptoms. Full article
(This article belongs to the Special Issue Sleep Medicine in Personalized Medicine)
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