Evidence map›Paper›PMID 42208063›Full record

ArticleJMIR aging2026

Subsequent Hypertension's Mediation of the Association Between Sleep Duration Trajectories and New-Onset Cardiovascular Disease: Population-Based Cohort Study.

Hongwei Liu, Minghui Wu, Minheng Zhang, Jian Pan, Haiyan Wu, Haixia Fan

Abstract read
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Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hongwei Liu *Department of Neurology, Taiyuan City Central Hospital, taiyuan, China.ORCID http://orcid.org/0000-0001-6275-9766
Minghui Wu *Department of Neurology, Taiyuan City Central Hospital, taiyuan, China.ORCID http://orcid.org/0009-0009-9921-1345
Minheng ZhangDepartment of Gerontology, The First People's Hospital of Jinzhong, Jinzhong, China.ORCID http://orcid.org/0009-0007-3213-6622
Jian PanDepartment of Anesthesiology, Shenzhen People's Hospital Longhua Branch, ShenZhen, China.ORCID http://orcid.org/0009-0004-3238-0295
Haiyan WuDepartment of Sleep Center, First Hospital of Shanxi Medical University, 85, Jiefang South Road, Taiyuan, 030001, China, 86 13623515703.ORCID http://orcid.org/0009-0003-3786-3854
Haixia FanDepartment of Sleep Center, First Hospital of Shanxi Medical University, 85, Jiefang South Road, Taiyuan, 030001, China, 86 13623515703.ORCID http://orcid.org/0009-0007-6404-2997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prior research has rarely explored the link between sleep duration trajectories and cardiovascular disease (CVD) either in cross-sectional or longitudinal data. Objective: We aimed to analyze the relationship between sleep duration trajectories and the incidence of CVD. Methods: Data from 5603 participants in the China Health and Retirement Longitudinal Study (CHARLS) were used in the analysis. Sleep duration was self-reported at multiple time points, and group-based trajectory modeling identified distinct patterns of total and nocturnal sleep duration over time. To investigate the link among sleep duration trajectories and CVD, Cox proportional hazards models, restricted cubic splines, and mediation analyses were used, with sensitivity analyses ensuring the results' robustness. Results: Four sleep duration trajectories were identified, including steady high, inverted U-shaped, steady low, and U-shaped. In fully adjusted models, an inverted U-shaped sleep trajectory was associated with a 34% higher risk of hypertension compared with the steady high group (total sleep: hazard ratio [HR]=1.34, 95% CI 1.07-1.69; P=.01). Notably, the inverted U-shaped sleep trajectory showed a 110% increased stroke risk during nocturnal periods compared to the steady high group (nocturnal sleep: HR=2.10, 95% CI 1.08-4.05; P=.03). The findings remained consistent across a range of sensitivity analyses. Hypertension was identified as a partial mediator of the association between sleep instability and stroke risk. Conclusions: The findings indicate that an inverted U-shaped sleep pattern is associated with increased cardiovascular risk, partially mediated by hypertension, highlighting sleep stability as a potential preventive target.

Indexed as

Cardiovascular DiseasesHypertensionSleepSleep DurationAgedChinaCohort StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk Factorscardiovascular diseaseheart diseasehypertensionlongitudinal studymediation analysissleep duration trajectorystroke

Identifiers

PMID42208063
PMCPMC13218652

What Socratic holds

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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 Socratic graph.