Evidence map›Paper›PMID 35881527›Full record

ArticleJournal of the American Heart Association2022

Association of Sleep Duration, Napping, and Sleep Patterns With Risk of Cardiovascular Diseases: A Nationwide Twin Study.

Zhiyu Wang, Wenzhe Yang, Xuerui Li, Xiuying Qi, Kuan-Yu Pan, Weili Xu

Open access · goldAbstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Zhiyu WangDepartment of Epidemiology and Biostatistics, School of Public Health Tianjin Medical University Tianjin China.
Wenzhe YangDepartment of Epidemiology and Biostatistics, School of Public Health Tianjin Medical University Tianjin China.
Xuerui LiDepartment of Epidemiology and Biostatistics, School of Public Health Tianjin Medical University Tianjin China.
Xiuying QiDepartment of Epidemiology and Biostatistics, School of Public Health Tianjin Medical University Tianjin China.ORCID 0000-0002-5346-4437
Kuan-Yu PanDepartment of Psychiatry, Amsterdam Public Health Amsterdam University Medical Center, Vrije Universiteit Amsterdam The Netherlands.
Weili XuDepartment of Epidemiology and Biostatistics, School of Public Health Tianjin Medical University Tianjin China.ORCID 0000-0001-6140-2968
Collaborative Innovation Center of Chemical Science and Engineering Tianjin · CNStockholm University · SEVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Although sleep disorders have been linked to cardiovascular diseases (CVDs), the association between sleep characteristics and CVDs remains inconclusive. We aimed to examine the association of nighttime sleep duration, daytime napping, and sleep patterns with CVDs and explore whether genetic and early-life environmental factors account for this association. Methods and Results In the Swedish Twin Registry, 12 268 CVD-free twin individuals (mean age=70.3 years) at baseline were followed up to 18 years to detect incident CVDs. Sleep duration, napping, and sleep patterns (assessed by sleep duration, chronotype, insomnia, snoring, and daytime sleepiness) were self-reported at baseline. CVDs were ascertained through the Swedish National Patient Registry and the Cause of Death Register. Data were analyzed using a Cox model. In the multiadjusted Cox model, compared with 7 to 9 hours/night, the hazard ratios (HRs) of CVDs were 1.14 (95% CI, 1.01-1.28) for <7 hours/night and 1.10 (95% CI, 1.00-1.21) for ≥10 hours/night, respectively. Compared with no napping, napping 1 to 30 minutes (HR, 1.11 [95% CI, 1.03-1.18]) and >30 minutes (HR, 1.23 [95% CI, 1.14-1.33]) were related to CVDs. Furthermore, a poor sleep pattern was associated with CVDs (HR, 1.22 [95% CI, 1.05-1.41]). The co-twin matched control analyses showed similar results as the unmatched analyses, and there was no significant interaction between sleep characteristics and zygosity (

Indexed as

Cardiovascular DiseasesSleep Wake DisordersAgedCohort StudiesHumansProportional Hazards ModelsRisk FactorsSleepcardiovascular diseasescohort studysleeptwin study

Identifiers

PMID35881527
PMCPMC9375484
OpenAlexW4288037207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.