Evidence map›Paper›PMID 35477572›Full record

ArticleCardiovascular diabetology2022

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

Chia-Ing Li, Cheng-Chieh Lin, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Tsai-Chung Li

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Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chia-Ing Li *School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Cheng-Chieh Lin *School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Chiu-Shong LiuSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Chih-Hsueh LinSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Shing-Yu YangDepartment of Public Health, College of Public Health, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist., Taichung, 406040, Taiwan.
Tsai-Chung LiDepartment of Public Health, College of Public Health, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist., Taichung, 406040, Taiwan. tcli@mail.cmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep 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).

methodsA 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.

resultsWithin 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

conclusionA 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.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Body Mass IndexCohort StudiesHumansSleepCardiovascular diseaseMetabolicMortalitySleep durationType 2 diabetes

Identifiers

PMID35477572
PMCPMC9045470

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.