Sleep disturbances in youth at‐risk for serious mental illness

Stowkowy, Jacqueline; Brummitt, Kali; Bonneville, Dominique; Goldstein, Benjamin I.; Wang, JianLi; Kennedy, Sidney H.; Bray, Signe; Lebel, Catherine; MacQueen, Glenda; Addington, Jean

doi:10.1111/eip.12898

Cited by 15 publications

(17 citation statements)

References 20 publications

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“…In particular, more research is needed on young people who are at risk for serious mental illness, and youth who particularly experience worse sleep disturbance than young people without symptoms. 77 …”

Section: Discussionmentioning

confidence: 99%

Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

et al. 2020

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Background Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies. Objectives This systematic review aimed to examine the results of studies on suicidality risk factors and self-harm that used Ecological Momentary Assessments. Methods Pubmed and PsycINFO databases were searched up to April 2020. Bibliographies of eligible studies were hand-searched, and 744 abstracts were screened and double-coded for inclusion. Results The 49 studies using EMA included in the review found associations between daily affect, rumination and interpersonal interactions and daily non-suicidal self-injury (NSSI). Studies also found associations between daily negative affect and positive affect, social support, sleep, and emotions and a person’s history of suicide and self-harm. Associations between daily suicide thoughts and self-harm, and psychopathology factors measured at baseline were also observed. Conclusions Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours.

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Section: Discussionmentioning

confidence: 99%

Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

et al. 2020

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“…Poor sleep quality or disturbed sleep is associated with multiple health complications, including mental disorders [ 1 , 2 , 3 ] and cardiovascular and cerebrovascular diseases [ 4 , 5 , 6 ]. Obstructive sleep apnea (OSA) is one of the most common diseases affecting sleep quality.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Monitoring of Sleep Position in Sleep Apnea Patients: Smartphone Triaxial Accelerometry Compared with Video-Validated Position from Polysomnography

Ferrer-Lluis

Castillo-Escario

Montserrat

et al. 2021

Sensors

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Poor sleep quality is a risk factor for multiple mental, cardiovascular, and cerebrovascular diseases. Certain sleep positions or excessive position changes can be related to some diseases and poor sleep quality. Nevertheless, sleep position is usually classified into four discrete values: supine, prone, left and right. An increase in sleep position resolution is necessary to better assess sleep position dynamics and to interpret more accurately intermediate sleep positions. This research aims to study the feasibility of smartphones as sleep position monitors by (1) developing algorithms to retrieve the sleep position angle from smartphone accelerometry; (2) monitoring the sleep position angle in patients with obstructive sleep apnea (OSA); (3) comparing the discretized sleep angle versus the four classic sleep positions obtained by the video-validated polysomnography (PSG); and (4) analyzing the presence of positional OSA (pOSA) related to its sleep angle of occurrence. Results from 19 OSA patients reveal that a higher resolution sleep position would help to better diagnose and treat patients with position-dependent diseases such as pOSA. They also show that smartphones are promising mHealth tools for enhanced position monitoring at hospitals and home, as they can provide sleep position with higher resolution than the gold-standard video-validated PSG.

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“…The assessment of pOSA is of particular interest, as most of the mHealth applications being developed today do not provide positional assessment to help clinicians determine the best personalized treatment strategies. The objectives of this paper are: (1) to develop an algorithm for detecting thoracic movement associated with disordered breathing events; (2) to compare the performance of smartphones as OSA monitor tools with the performance of a type 3 portable sleep monitor; and (3) to explore the feasibility of smartphone accelerometry in retrieving reliable patient sleep position data and assessing pOSA.…”

Section: Introductionmentioning

confidence: 99%

“…The smartphone position (1 -orange) is slightly shifted upwards to allow for better comparison with the PSG position (1 -blue). The raw triaxial accelerometry signal used to retrieve the smartphone's position is shown in(2). The percentage of position agreement in this subject was 95%.…”

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confidence: 99%

Analysis of Smartphone Triaxial Accelerometry for Monitoring Sleep-Disordered Breathing and Sleep Position at Home

et al. 2020

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Obstructive sleep apnea (OSA) is a sleep disorder in which repetitive upper airway obstructive events occur during sleep. These events can induce hypoxia, which is a risk factor for multiple cardiovascular and cerebrovascular diseases. OSA is also known to be position-dependent in some patients, which is referred to as positional OSA (pOSA). Screening for pOSA is necessary in order to design more personalized and effective treatment strategies. In this article, we propose analyzing accelerometry signals, recorded with a smartphone, to detect and monitor OSA at home. Our objectives were to: (1) develop an algorithm for detecting thoracic movement associated with disordered breathing events; (2) compare the performance of smartphones as OSA monitoring tools with a type 3 portable sleep monitor; and (3) explore the feasibility of using smartphone accelerometry to retrieve reliable patient sleep position data and assess pOSA. Accelerometry signals were collected through simultaneous overnight acquisition using both devices with 13 subjects. The smartphone tool showed a high degree of concordance compared to the portable device and succeeded in estimating the apnea-hypopnea index (AHI) and classifying the severity level in most subjects. To assess the agreement between the two systems, an event-by-event comparison was performed, which found a sensitivity of 90% and a positive predictive value of 80%. It was also possible to identify pOSA by determining the ratio of events occurring in a specific position versus the time spent in that position during the night. These novel results suggest that smartphones are promising mHealth tools for OSA and pOSA monitoring at home.

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Sleep disturbances in youth at‐risk for serious mental illness

Cited by 15 publications

References 20 publications

Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

Enhanced Monitoring of Sleep Position in Sleep Apnea Patients: Smartphone Triaxial Accelerometry Compared with Video-Validated Position from Polysomnography

Analysis of Smartphone Triaxial Accelerometry for Monitoring Sleep-Disordered Breathing and Sleep Position at Home

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