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Sleep regularity and mortality: a prospective analysis in the UK Biobank
BACKGROUND: Irregular sleep-wake timing may cause circadian disruption leading to several chronic age-related diseases. We examined the relationship between sleep regularity and risk of all-cause, cardiovascular disease (CVD), and cancer mortality in 88,975 participants from the prospective UK Bioba...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666928/ https://www.ncbi.nlm.nih.gov/pubmed/37995126 http://dx.doi.org/10.7554/eLife.88359 |
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author | Cribb, Lachlan Sha, Ramon Yiallourou, Stephanie Grima, Natalie A Cavuoto, Marina Baril, Andree-Ann Pase, Matthew P |
author_facet | Cribb, Lachlan Sha, Ramon Yiallourou, Stephanie Grima, Natalie A Cavuoto, Marina Baril, Andree-Ann Pase, Matthew P |
author_sort | Cribb, Lachlan |
collection | PubMed |
description | BACKGROUND: Irregular sleep-wake timing may cause circadian disruption leading to several chronic age-related diseases. We examined the relationship between sleep regularity and risk of all-cause, cardiovascular disease (CVD), and cancer mortality in 88,975 participants from the prospective UK Biobank cohort. METHODS: The sleep regularity index (SRI) was calculated as the probability of an individual being in the same state (asleep or awake) at any two time points 24 hr apart, averaged over 7 days of accelerometry (range 0–100, with 100 being perfectly regular). The SRI was related to the risk of mortality in time-to-event models. RESULTS: The mean sample age was 62 years (standard deviation [SD], 8), 56% were women, and the median SRI was 60 (SD, 10). There were 3010 deaths during a mean follow-up of 7.1 years. Following adjustments for demographic and clinical variables, we identified a non-linear relationship between the SRI and all-cause mortality hazard (p [global test of spline term]<0.001). Hazard ratios, relative to the median SRI, were 1.53 (95% confidence interval [CI]: 1.41, 1.66) for participants with SRI at the 5th percentile (SRI = 41) and 0.90 (95% CI: 0.81, 1.00) for those with SRI at the 95th percentile (SRI = 75), respectively. Findings for CVD mortality and cancer mortality followed a similar pattern. CONCLUSIONS: Irregular sleep-wake patterns are associated with higher mortality risk. FUNDING: National Health and Medical Research Council of Australia (GTN2009264; GTN1158384), National Institute on Aging (AG062531), Alzheimer’s Association (2018-AARG-591358), and the Banting Fellowship Program (#454104). |
format | Online Article Text |
id | pubmed-10666928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-106669282023-11-23 Sleep regularity and mortality: a prospective analysis in the UK Biobank Cribb, Lachlan Sha, Ramon Yiallourou, Stephanie Grima, Natalie A Cavuoto, Marina Baril, Andree-Ann Pase, Matthew P eLife Epidemiology and Global Health BACKGROUND: Irregular sleep-wake timing may cause circadian disruption leading to several chronic age-related diseases. We examined the relationship between sleep regularity and risk of all-cause, cardiovascular disease (CVD), and cancer mortality in 88,975 participants from the prospective UK Biobank cohort. METHODS: The sleep regularity index (SRI) was calculated as the probability of an individual being in the same state (asleep or awake) at any two time points 24 hr apart, averaged over 7 days of accelerometry (range 0–100, with 100 being perfectly regular). The SRI was related to the risk of mortality in time-to-event models. RESULTS: The mean sample age was 62 years (standard deviation [SD], 8), 56% were women, and the median SRI was 60 (SD, 10). There were 3010 deaths during a mean follow-up of 7.1 years. Following adjustments for demographic and clinical variables, we identified a non-linear relationship between the SRI and all-cause mortality hazard (p [global test of spline term]<0.001). Hazard ratios, relative to the median SRI, were 1.53 (95% confidence interval [CI]: 1.41, 1.66) for participants with SRI at the 5th percentile (SRI = 41) and 0.90 (95% CI: 0.81, 1.00) for those with SRI at the 95th percentile (SRI = 75), respectively. Findings for CVD mortality and cancer mortality followed a similar pattern. CONCLUSIONS: Irregular sleep-wake patterns are associated with higher mortality risk. FUNDING: National Health and Medical Research Council of Australia (GTN2009264; GTN1158384), National Institute on Aging (AG062531), Alzheimer’s Association (2018-AARG-591358), and the Banting Fellowship Program (#454104). eLife Sciences Publications, Ltd 2023-11-23 /pmc/articles/PMC10666928/ /pubmed/37995126 http://dx.doi.org/10.7554/eLife.88359 Text en © 2023, Cribb et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Cribb, Lachlan Sha, Ramon Yiallourou, Stephanie Grima, Natalie A Cavuoto, Marina Baril, Andree-Ann Pase, Matthew P Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title | Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title_full | Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title_fullStr | Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title_full_unstemmed | Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title_short | Sleep regularity and mortality: a prospective analysis in the UK Biobank |
title_sort | sleep regularity and mortality: a prospective analysis in the uk biobank |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666928/ https://www.ncbi.nlm.nih.gov/pubmed/37995126 http://dx.doi.org/10.7554/eLife.88359 |
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