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Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study

BACKGROUND: Sleep duration is associated with mortality. However, prior studies exploring whether sleep duration predicts subsequent long-term mortality in patients with diabetes are limited. This study aims to examine whether metabolic factors affect the associations between baseline sleep duration...

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Autores principales: Li, Chia-Ing, Lin, Cheng-Chieh, Liu, Chiu-Shong, Lin, Chih-Hsueh, Yang, Shing-Yu, Li, Tsai-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045470/
https://www.ncbi.nlm.nih.gov/pubmed/35477572
http://dx.doi.org/10.1186/s12933-022-01500-0
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author Li, Chia-Ing
Lin, Cheng-Chieh
Liu, Chiu-Shong
Lin, Chih-Hsueh
Yang, Shing-Yu
Li, Tsai-Chung
author_facet Li, Chia-Ing
Lin, Cheng-Chieh
Liu, Chiu-Shong
Lin, Chih-Hsueh
Yang, Shing-Yu
Li, Tsai-Chung
author_sort Li, Chia-Ing
collection PubMed
description BACKGROUND: Sleep duration is associated with mortality. However, prior studies exploring whether sleep duration predicts subsequent long-term mortality in patients with diabetes are limited. This study aims to examine whether metabolic factors affect the associations between baseline sleep duration and subsequent risks of all-cause, expanded, and non-expanded cardiovascular disease (CVD) mortalities among patients with type 2 diabetes (T2D). METHODS: A total of 12,526 T2D patients aged 30 years and older, with a follow-up period ≥ 3 years, were identified from the Diabetes Case Management Program of a medical center in Taiwan. Sleep duration was measured using computerized questionnaires by case managers, and the time frame for this question was 1 month prior to the interview date. Sleep duration in relation to subsequent mortality from all causes, expanded CVD, and non-expanded CVD was examined using Cox proportional hazard models. RESULTS: Within 10 years of follow-up, 2918 deaths (1328 CVD deaths and 1590 non-CVD deaths) were recorded. A J-shaped association was observed for all-cause, expanded CVD, and non-expanded CVD mortalities, and the lowest risks were observed for patients with 5–7 h of sleep. The significant joint effects included sleep duration of more or less than 7 h with age ≥ 65 years [adjusted HRs: 4.00 (3.49–4.60)], diabetes duration ≥ 5 years [1.60 (1.40–1.84)], age at diabetes diagnosis ≤ 45 years [1.69 (1.38–2.07)], insulin use [1.76 (1.54–2.03)], systolic blood pressure/diastolic blood pressure > 130/85 mmHg [1.24 (1.07–1.43)], triglyceride ≥ 150 mg/dL [1.38 (1.22–1.56)], HbA1c ≥ 7% [1.31 (1.13–1.52)], and body mass index < 27 kg/m(2) [1.31 (1.17–1.45)] for all-cause mortality. CONCLUSION: A J-shaped association was observed between sleep duration and all-cause and expanded CVD mortality, and a sleep duration of 5–7 h had the lowest mortality risk. Sleep duration also showed significant synergistic interactions with diabetes duration but shared an antagonistic interaction with age and obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01500-0.
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spelling pubmed-90454702022-04-28 Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study Li, Chia-Ing Lin, Cheng-Chieh Liu, Chiu-Shong Lin, Chih-Hsueh Yang, Shing-Yu Li, Tsai-Chung Cardiovasc Diabetol Research BACKGROUND: Sleep duration is associated with mortality. However, prior studies exploring whether sleep duration predicts subsequent long-term mortality in patients with diabetes are limited. This study aims to examine whether metabolic factors affect the associations between baseline sleep duration and subsequent risks of all-cause, expanded, and non-expanded cardiovascular disease (CVD) mortalities among patients with type 2 diabetes (T2D). METHODS: A total of 12,526 T2D patients aged 30 years and older, with a follow-up period ≥ 3 years, were identified from the Diabetes Case Management Program of a medical center in Taiwan. Sleep duration was measured using computerized questionnaires by case managers, and the time frame for this question was 1 month prior to the interview date. Sleep duration in relation to subsequent mortality from all causes, expanded CVD, and non-expanded CVD was examined using Cox proportional hazard models. RESULTS: Within 10 years of follow-up, 2918 deaths (1328 CVD deaths and 1590 non-CVD deaths) were recorded. A J-shaped association was observed for all-cause, expanded CVD, and non-expanded CVD mortalities, and the lowest risks were observed for patients with 5–7 h of sleep. The significant joint effects included sleep duration of more or less than 7 h with age ≥ 65 years [adjusted HRs: 4.00 (3.49–4.60)], diabetes duration ≥ 5 years [1.60 (1.40–1.84)], age at diabetes diagnosis ≤ 45 years [1.69 (1.38–2.07)], insulin use [1.76 (1.54–2.03)], systolic blood pressure/diastolic blood pressure > 130/85 mmHg [1.24 (1.07–1.43)], triglyceride ≥ 150 mg/dL [1.38 (1.22–1.56)], HbA1c ≥ 7% [1.31 (1.13–1.52)], and body mass index < 27 kg/m(2) [1.31 (1.17–1.45)] for all-cause mortality. CONCLUSION: A J-shaped association was observed between sleep duration and all-cause and expanded CVD mortality, and a sleep duration of 5–7 h had the lowest mortality risk. Sleep duration also showed significant synergistic interactions with diabetes duration but shared an antagonistic interaction with age and obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01500-0. BioMed Central 2022-04-27 /pmc/articles/PMC9045470/ /pubmed/35477572 http://dx.doi.org/10.1186/s12933-022-01500-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Chia-Ing
Lin, Cheng-Chieh
Liu, Chiu-Shong
Lin, Chih-Hsueh
Yang, Shing-Yu
Li, Tsai-Chung
Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title_full Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title_fullStr Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title_full_unstemmed Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title_short Sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
title_sort sleep duration predicts subsequent long-term mortality in patients with type 2 diabetes: a large single-center cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045470/
https://www.ncbi.nlm.nih.gov/pubmed/35477572
http://dx.doi.org/10.1186/s12933-022-01500-0
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