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Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study

BACKGROUND: Previous studies have suggested that sleep timing is associated with cardiovascular risk factors. However, there is no evidence on the relationship between sleep timing and congestive heart failure (CHF). We aimed to examine this relationship in this study. METHODS AND RESULTS: We recrui...

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Autores principales: Yan, Bin, Li, Ruohan, Li, Jiamei, Jin, Xuting, Gao, Fan, Gao, Ya, Ren, Jiajia, Zhang, Jingjing, Wang, Xiaochuang, Wang, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174199/
https://www.ncbi.nlm.nih.gov/pubmed/33666090
http://dx.doi.org/10.1161/JAHA.120.018385
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author Yan, Bin
Li, Ruohan
Li, Jiamei
Jin, Xuting
Gao, Fan
Gao, Ya
Ren, Jiajia
Zhang, Jingjing
Wang, Xiaochuang
Wang, Gang
author_facet Yan, Bin
Li, Ruohan
Li, Jiamei
Jin, Xuting
Gao, Fan
Gao, Ya
Ren, Jiajia
Zhang, Jingjing
Wang, Xiaochuang
Wang, Gang
author_sort Yan, Bin
collection PubMed
description BACKGROUND: Previous studies have suggested that sleep timing is associated with cardiovascular risk factors. However, there is no evidence on the relationship between sleep timing and congestive heart failure (CHF). We aimed to examine this relationship in this study. METHODS AND RESULTS: We recruited 4765 participants (2207 men; mean age, 63.6±11.0 years) from the SHHS (Sleep Heart Health Study) database in this multicenter prospective cohort study. Follow‐up was conducted until the first CHF diagnosis between baseline and the final censoring date. Sleep timing (bedtimes and wake‐up times on weekdays and weekends) was based on a self‐reported questionnaire. Cox proportional hazard models were constructed to investigate the association between sleep timing and CHF. During the mean follow‐up period of 11 years, 519 cases of CHF (10.9%) were reported. The multivariable Cox proportional hazards models revealed that participants with weekday bedtimes >12:00 am (hazard ratio [HR], 1.56; 95% CI, 1.15–2.11; P=0.004) and from 11:01 pm to 12:00 am (HR, 1.25; 95% CI, 1.00–1.56; P=0.047) had an increased risk of CHF compared with those with bedtimes from 10:01 pm to 11:00 pm. After stratified analysis, the association was intensified in participants with a self‐reported sleep duration of 6 to 8 hours. Furthermore, wake‐up times >8:00 am on weekdays (HR, 1.53; 95% CI, 1.07–2.17; P=0.018) were associated with a higher risk of incident CHF than wake‐up times ≤6:00 am. CONCLUSIONS: Delayed bedtimes (>11:00 pm) and wake‐up times (>8:00 am) on weekdays were associated with an increased risk of CHF.
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spelling pubmed-81741992021-06-11 Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study Yan, Bin Li, Ruohan Li, Jiamei Jin, Xuting Gao, Fan Gao, Ya Ren, Jiajia Zhang, Jingjing Wang, Xiaochuang Wang, Gang J Am Heart Assoc Original Research BACKGROUND: Previous studies have suggested that sleep timing is associated with cardiovascular risk factors. However, there is no evidence on the relationship between sleep timing and congestive heart failure (CHF). We aimed to examine this relationship in this study. METHODS AND RESULTS: We recruited 4765 participants (2207 men; mean age, 63.6±11.0 years) from the SHHS (Sleep Heart Health Study) database in this multicenter prospective cohort study. Follow‐up was conducted until the first CHF diagnosis between baseline and the final censoring date. Sleep timing (bedtimes and wake‐up times on weekdays and weekends) was based on a self‐reported questionnaire. Cox proportional hazard models were constructed to investigate the association between sleep timing and CHF. During the mean follow‐up period of 11 years, 519 cases of CHF (10.9%) were reported. The multivariable Cox proportional hazards models revealed that participants with weekday bedtimes >12:00 am (hazard ratio [HR], 1.56; 95% CI, 1.15–2.11; P=0.004) and from 11:01 pm to 12:00 am (HR, 1.25; 95% CI, 1.00–1.56; P=0.047) had an increased risk of CHF compared with those with bedtimes from 10:01 pm to 11:00 pm. After stratified analysis, the association was intensified in participants with a self‐reported sleep duration of 6 to 8 hours. Furthermore, wake‐up times >8:00 am on weekdays (HR, 1.53; 95% CI, 1.07–2.17; P=0.018) were associated with a higher risk of incident CHF than wake‐up times ≤6:00 am. CONCLUSIONS: Delayed bedtimes (>11:00 pm) and wake‐up times (>8:00 am) on weekdays were associated with an increased risk of CHF. John Wiley and Sons Inc. 2021-03-05 /pmc/articles/PMC8174199/ /pubmed/33666090 http://dx.doi.org/10.1161/JAHA.120.018385 Text en © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Yan, Bin
Li, Ruohan
Li, Jiamei
Jin, Xuting
Gao, Fan
Gao, Ya
Ren, Jiajia
Zhang, Jingjing
Wang, Xiaochuang
Wang, Gang
Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title_full Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title_fullStr Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title_full_unstemmed Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title_short Sleep Timing May Predict Congestive Heart Failure: A Community‐Based Cohort Study
title_sort sleep timing may predict congestive heart failure: a community‐based cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174199/
https://www.ncbi.nlm.nih.gov/pubmed/33666090
http://dx.doi.org/10.1161/JAHA.120.018385
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