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Sleep and Death: The Relationship Be...

Leary, Eileen B.

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Sleep and Death: The Relationship Between REM Sleep and Mortality.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sleep and Death: The Relationship Between REM Sleep and Mortality./
Author:	Leary, Eileen B.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	103 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Contained By:	Dissertations Abstracts International82-02B.
Subject:	Health sciences. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28103955
ISBN:	9798662510593

Sleep and Death: The Relationship Between REM Sleep and Mortality.
Leary, Eileen B.

Sleep and Death: The Relationship Between REM Sleep and Mortality. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 103 p.

Source: Dissertations Abstracts International, Volume: 82-02, Section: B.

Thesis (Ph.D.)--Stanford University, 2020.

This item must not be sold to any third party vendors.

Sleep is a non-negotiable requirement for a happy, healthy life. In the last 70 years, our understanding of sleep has grown exponentially. However, in our busy society, sleep is often overlooked and undervalued. This is surprising given that sleep disorders and sleep dysregulation have been linked to multiple systemic and brain-based diseases, including cardiovascular disease, type 2 diabetes, dementia, and major depressive disorder. Additionally, sleep disorders and sleep characteristics (e.g. sleep duration) have been linked to higher rates of mortality. Despite the emerging evidence of a sleep-mortality association, the mechanisms underlying the relationship are not well understood. Little is known about how the proportion of time spent in each sleep stage relate to timing or cause of death. This dissertation is an in-depth investigation of the relationship between rapid eye movement (REM) sleep and risk of mortality. Specific aim one combines traditional and machine learning analytic approaches to evaluate whether lower levels of REM sleep would be associated with an increased rate of mortality. Sleep is comprised of multiple sleep stages that by nature are highly correlated. Therefore, it is necessary to tease apart whether another sleep stage could be a better predictor of mortality. Aim two used supervised machine learning to rank the four sleep stages from most to least predictive in context of one another. The hypotheses were increased mortality rates would be associated with lower quantities of REM sleep and that compared to other sleep stages, REM would be the best predictor of mortality. Specific aim three was to evaluate the validity, consistency, and generalizability of the findings. to do this, the final models were validated in two independent cohorts and the results from all three cohorts were combined in a meta-analysis. (Abstract shortened by ProQuest.).

ISBN: 9798662510593Subjects--Topical Terms:

3168359
Health sciences.
Subjects--Index Terms:

Mortality rate

Sleep and Death: The Relationship Between REM Sleep and Mortality.
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300 $a 103 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
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520 $a Sleep is a non-negotiable requirement for a happy, healthy life. In the last 70 years, our understanding of sleep has grown exponentially. However, in our busy society, sleep is often overlooked and undervalued. This is surprising given that sleep disorders and sleep dysregulation have been linked to multiple systemic and brain-based diseases, including cardiovascular disease, type 2 diabetes, dementia, and major depressive disorder. Additionally, sleep disorders and sleep characteristics (e.g. sleep duration) have been linked to higher rates of mortality. Despite the emerging evidence of a sleep-mortality association, the mechanisms underlying the relationship are not well understood. Little is known about how the proportion of time spent in each sleep stage relate to timing or cause of death. This dissertation is an in-depth investigation of the relationship between rapid eye movement (REM) sleep and risk of mortality. Specific aim one combines traditional and machine learning analytic approaches to evaluate whether lower levels of REM sleep would be associated with an increased rate of mortality. Sleep is comprised of multiple sleep stages that by nature are highly correlated. Therefore, it is necessary to tease apart whether another sleep stage could be a better predictor of mortality. Aim two used supervised machine learning to rank the four sleep stages from most to least predictive in context of one another. The hypotheses were increased mortality rates would be associated with lower quantities of REM sleep and that compared to other sleep stages, REM would be the best predictor of mortality. Specific aim three was to evaluate the validity, consistency, and generalizability of the findings. to do this, the final models were validated in two independent cohorts and the results from all three cohorts were combined in a meta-analysis. (Abstract shortened by ProQuest.).
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