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Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study
IMPORTANCE. Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions. It remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment. OBJECTIVE. To evaluate how longitudinal sleep patterns contribute to...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312848/ https://www.ncbi.nlm.nih.gov/pubmed/37398317 http://dx.doi.org/10.1101/2023.06.07.23291098 |
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author | Keil, Samantha A. Schindler, Abigail G. Wang, Marie X. Piantino, Juan Silbert, Lisa C. Elliott, Jonathan E. Thomas, Ronald G. Willis, Sherry Lim, Miranda M. Iliff, Jeffrey J. |
author_facet | Keil, Samantha A. Schindler, Abigail G. Wang, Marie X. Piantino, Juan Silbert, Lisa C. Elliott, Jonathan E. Thomas, Ronald G. Willis, Sherry Lim, Miranda M. Iliff, Jeffrey J. |
author_sort | Keil, Samantha A. |
collection | PubMed |
description | IMPORTANCE. Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions. It remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment. OBJECTIVE. To evaluate how longitudinal sleep patterns contribute to age-related changes in cognitive function in healthy adults. DESIGN, SETTING, PARTICIPANTS. This study utilizes retrospective longitudinal analyses of a community-based study within Seattle, evaluating self-reported sleep (1993–2012) and cognitive performance (1997–2020) in aged adults. MAIN OUTCOMES AND MEASURES. The main outcome is cognitive impairment as defined by sub-threshold performance on 2 of 4 neuropsychological batteries: Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, Trail Making Test, and Wechsler Adult Intelligent Scale (Revised). Sleep duration was defined through self-report of ‘average nightly sleep duration over the last week’ and assessed longitudinally. Median sleep duration, change in sleep duration (slope), variability in sleep duration (standard deviation, Sleep Variability), and sleep phenotype (“Short Sleep” median ≤7hrs.; “Medium Sleep” median = 7hrs; “Long Sleep” median ≥7hrs.). RESULTS. A total of 822 individuals (mean age of 76.2 years [11.8]; 466 women [56.7%]; 216 APOE allele positive [26.3%]) were included in the study. Analysis using a Cox Proportional Hazard Regression model (concordance 0.70) showed that increased Sleep Variability (95% CI [1.27,3.86]) was significantly associated with the incidence of cognitive impairment. Further analysis using linear regression prediction analysis (R(2)=0.201, F (10, 168)=6.010, p=2.67E-07) showed that high Sleep Variability (β=0.3491; p=0.048) was a significant predictor of cognitive impairment over a 10-year period. CONCLUSIONS AND RELEVANCE. High variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment and predictive of decline in cognitive performance ten years later. These data highlight that instability in longitudinal sleep duration may contribute to age-related cognitive decline. |
format | Online Article Text |
id | pubmed-10312848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103128482023-07-01 Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study Keil, Samantha A. Schindler, Abigail G. Wang, Marie X. Piantino, Juan Silbert, Lisa C. Elliott, Jonathan E. Thomas, Ronald G. Willis, Sherry Lim, Miranda M. Iliff, Jeffrey J. medRxiv Article IMPORTANCE. Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions. It remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment. OBJECTIVE. To evaluate how longitudinal sleep patterns contribute to age-related changes in cognitive function in healthy adults. DESIGN, SETTING, PARTICIPANTS. This study utilizes retrospective longitudinal analyses of a community-based study within Seattle, evaluating self-reported sleep (1993–2012) and cognitive performance (1997–2020) in aged adults. MAIN OUTCOMES AND MEASURES. The main outcome is cognitive impairment as defined by sub-threshold performance on 2 of 4 neuropsychological batteries: Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, Trail Making Test, and Wechsler Adult Intelligent Scale (Revised). Sleep duration was defined through self-report of ‘average nightly sleep duration over the last week’ and assessed longitudinally. Median sleep duration, change in sleep duration (slope), variability in sleep duration (standard deviation, Sleep Variability), and sleep phenotype (“Short Sleep” median ≤7hrs.; “Medium Sleep” median = 7hrs; “Long Sleep” median ≥7hrs.). RESULTS. A total of 822 individuals (mean age of 76.2 years [11.8]; 466 women [56.7%]; 216 APOE allele positive [26.3%]) were included in the study. Analysis using a Cox Proportional Hazard Regression model (concordance 0.70) showed that increased Sleep Variability (95% CI [1.27,3.86]) was significantly associated with the incidence of cognitive impairment. Further analysis using linear regression prediction analysis (R(2)=0.201, F (10, 168)=6.010, p=2.67E-07) showed that high Sleep Variability (β=0.3491; p=0.048) was a significant predictor of cognitive impairment over a 10-year period. CONCLUSIONS AND RELEVANCE. High variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment and predictive of decline in cognitive performance ten years later. These data highlight that instability in longitudinal sleep duration may contribute to age-related cognitive decline. Cold Spring Harbor Laboratory 2023-08-04 /pmc/articles/PMC10312848/ /pubmed/37398317 http://dx.doi.org/10.1101/2023.06.07.23291098 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Keil, Samantha A. Schindler, Abigail G. Wang, Marie X. Piantino, Juan Silbert, Lisa C. Elliott, Jonathan E. Thomas, Ronald G. Willis, Sherry Lim, Miranda M. Iliff, Jeffrey J. Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title | Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title_full | Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title_fullStr | Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title_full_unstemmed | Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title_short | Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study |
title_sort | instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the seattle longitudinal study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312848/ https://www.ncbi.nlm.nih.gov/pubmed/37398317 http://dx.doi.org/10.1101/2023.06.07.23291098 |
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