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Sleep Inconsistency and Markers of Inflammation

Objective: Poor sleep is associated with higher levels of inflammatory biomarkers. Conventionally, higher average time awake, lower average time asleep, and lower sleep efficiency define poor sleep. Recent research suggests that, in addition to average sleep, sleep inconsistency is an important indi...

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Autores principales: Dzierzewski, Joseph M., Donovan, Emily K., Kay, Daniel B., Sannes, Timothy S., Bradbrook, Keighly E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525126/
https://www.ncbi.nlm.nih.gov/pubmed/33041983
http://dx.doi.org/10.3389/fneur.2020.01042
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author Dzierzewski, Joseph M.
Donovan, Emily K.
Kay, Daniel B.
Sannes, Timothy S.
Bradbrook, Keighly E.
author_facet Dzierzewski, Joseph M.
Donovan, Emily K.
Kay, Daniel B.
Sannes, Timothy S.
Bradbrook, Keighly E.
author_sort Dzierzewski, Joseph M.
collection PubMed
description Objective: Poor sleep is associated with higher levels of inflammatory biomarkers. Conventionally, higher average time awake, lower average time asleep, and lower sleep efficiency define poor sleep. Recent research suggests that, in addition to average sleep, sleep inconsistency is an important indicator of sleep dysfunction. The current study sought to extend our knowledge of the relationship between sleep and inflammation through an examination of sleep inconsistency and inflammatory biomarkers. Methods: Secondary analyses of the Survey of Midlife in the United States (MIDUS) sleep study were conducted. Five hundred thirty-three individuals completed nightly sleep diaries, actigraphy, and underwent a blood draw for the inflammatory biomarkers C-reactive protein, interleukin-6, and fibrinogen. Sleep inconsistency was derived from 7 consecutive nights of assessment and was operationalized as nightly fluctuations in the following variables: terminal wakefulness, number of awakenings, time in bed, sleep onset latency, and wake after sleep onset. Structural equation modeling was used to examine the influence of a latent average sleep and a latent sleep inconsistency variable on a latent inflammation variable. Models were subsequently adjusted for age, sex, BMI, health, and medication. Stratified models by sex were also analyzed. Results: The average sleep model would not converge. The sleep inconsistency model fit the data well. A significant positive association between the latent factors sleep inconsistency and inflammation was observed (β = 10.18, SE = 4.40, p = 0.021), suggesting inconsistent sleep is associated with higher levels of inflammatory biomarkers. When stratified by sex, the association between the latent sleep inconsistency factor and inflammation was significant for women (β = 1.93, SE = 0.82, p = 0.018), but not men (β = 0.20, SE = 0.35, p = 0.566). The association between sleep inconsistency and inflammation weakened following multivariate adjustment (β = 6.23, SE = 3.71, p = 0.093). Conclusions: Inconsistent sleep may be an associated feature of inflammatory dysfunction, especially in women. Future studies should build upon this preliminary work and examine these associations longitudinally and through treatment trials.
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spelling pubmed-75251262020-10-09 Sleep Inconsistency and Markers of Inflammation Dzierzewski, Joseph M. Donovan, Emily K. Kay, Daniel B. Sannes, Timothy S. Bradbrook, Keighly E. Front Neurol Neurology Objective: Poor sleep is associated with higher levels of inflammatory biomarkers. Conventionally, higher average time awake, lower average time asleep, and lower sleep efficiency define poor sleep. Recent research suggests that, in addition to average sleep, sleep inconsistency is an important indicator of sleep dysfunction. The current study sought to extend our knowledge of the relationship between sleep and inflammation through an examination of sleep inconsistency and inflammatory biomarkers. Methods: Secondary analyses of the Survey of Midlife in the United States (MIDUS) sleep study were conducted. Five hundred thirty-three individuals completed nightly sleep diaries, actigraphy, and underwent a blood draw for the inflammatory biomarkers C-reactive protein, interleukin-6, and fibrinogen. Sleep inconsistency was derived from 7 consecutive nights of assessment and was operationalized as nightly fluctuations in the following variables: terminal wakefulness, number of awakenings, time in bed, sleep onset latency, and wake after sleep onset. Structural equation modeling was used to examine the influence of a latent average sleep and a latent sleep inconsistency variable on a latent inflammation variable. Models were subsequently adjusted for age, sex, BMI, health, and medication. Stratified models by sex were also analyzed. Results: The average sleep model would not converge. The sleep inconsistency model fit the data well. A significant positive association between the latent factors sleep inconsistency and inflammation was observed (β = 10.18, SE = 4.40, p = 0.021), suggesting inconsistent sleep is associated with higher levels of inflammatory biomarkers. When stratified by sex, the association between the latent sleep inconsistency factor and inflammation was significant for women (β = 1.93, SE = 0.82, p = 0.018), but not men (β = 0.20, SE = 0.35, p = 0.566). The association between sleep inconsistency and inflammation weakened following multivariate adjustment (β = 6.23, SE = 3.71, p = 0.093). Conclusions: Inconsistent sleep may be an associated feature of inflammatory dysfunction, especially in women. Future studies should build upon this preliminary work and examine these associations longitudinally and through treatment trials. Frontiers Media S.A. 2020-09-16 /pmc/articles/PMC7525126/ /pubmed/33041983 http://dx.doi.org/10.3389/fneur.2020.01042 Text en Copyright © 2020 Dzierzewski, Donovan, Kay, Sannes and Bradbrook. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Dzierzewski, Joseph M.
Donovan, Emily K.
Kay, Daniel B.
Sannes, Timothy S.
Bradbrook, Keighly E.
Sleep Inconsistency and Markers of Inflammation
title Sleep Inconsistency and Markers of Inflammation
title_full Sleep Inconsistency and Markers of Inflammation
title_fullStr Sleep Inconsistency and Markers of Inflammation
title_full_unstemmed Sleep Inconsistency and Markers of Inflammation
title_short Sleep Inconsistency and Markers of Inflammation
title_sort sleep inconsistency and markers of inflammation
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525126/
https://www.ncbi.nlm.nih.gov/pubmed/33041983
http://dx.doi.org/10.3389/fneur.2020.01042
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