Evidence map›Paper›PMID 37710209›Full record

ArticleBMC neurology2023

Sleep duration and risk of stroke and coronary heart disease: a 9-year community-based prospective study of 0.5 million Chinese adults.

Yiping Chen, Christiana Kartsonaki, Robert Clarke, Yu Guo, Huaidong Du, Canqing Yu, Ling Yang, Pei Pei, Rebecca Stevens, Sushila Burgess and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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  14. Mineralocorticoid Receptor and Sleep Quality in Chronic Kidney Disease.International journal of molecular sciences · 2024
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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

16 authors at 4 institutions in 2 countries.

Yiping ChenMedical Research Council Population Health Research Unit (MRC PHRU), University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK. yiping.chen@ndph.ox.ac.uk.
Christiana KartsonakiMedical Research Council Population Health Research Unit (MRC PHRU), University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK.
Robert ClarkeMedical Research Council Population Health Research Unit (MRC PHRU), University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK. robert.clarke@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0002-9802-8241
Yu GuoNational Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Huaidong DuMedical Research Council Population Health Research Unit (MRC PHRU), University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Ling YangMedical Research Council Population Health Research Unit (MRC PHRU), University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Rebecca StevensNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, UK.
Sushila BurgessNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, UK.
Yujie HuaNCDs Prevention and Control Department, Suzhou CDC, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Chaoyang District, Beijing, 100021, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Zhengming ChenNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, UK.
China Kadoorie Biobank Collaborative Group
University of Oxford · GBPeking University · CNChina National Center for Food Safety Risk Assessment · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK C16077/A29186Cancer Research UK C500/A16896Wellcome Trust 088158Wellcome Trust 104085Wellcome Trust 202922Wellcome Trust 212946
6 · The paper itself

Abstract

backgroundThere is uncertainty about the optimum sleep duration for risk of different subtypes of stroke and ischaemic heart disease.

methodsThe present analyses involved 409,156 adults in the China Kadoorie Biobank study without a prior history of coronary heart disease or stroke or insomnia symptoms. The mean age of study participants was 52 years and 59% were women. Self-reported sleep duration including daytime napping was recorded using a questionnaire. The adjusted hazard ratios (HRs) for disease outcomes associated with sleep duration were estimated by Cox proportional hazards after adjustment for confounding factors.

resultsThe overall mean (SD) sleep duration was 7.4 (1.4) hours. The associations of sleep duration with CVD types were U-shaped, with individuals reporting 7-8 h of sleep having the lowest risks. Compared with those who typically slept 7-8 h, individuals with very short sleep duration (≤ 5 h) had adjusted HRs of 1.10 (95% CI 1.04-1.16), 1.07 (1.01-1.13), 1.19 (1.06-1.33) and 1.23 (1.10-1.37) for total stroke, ischaemic stroke (IS), Intracerebral haemorrhage (ICH) and major coronary events (MCE), respectively. Likewise, individuals with very long sleep duration (≥ 10 h) had HRs of 1.12 (1.07-1.17), 1.08 (1.03-1.14), 1.23 (1.12-1.35) and 1.22 (1.10-1.34) for the same diseases, respectively, with little differences by sex and age. The patterns were similar for all-cause mortality.

conclusionsWhile abnormal sleep duration (≤ 6 h or ≥ 9 h) was associated with higher risks of CVD, the risks were more extreme for those reporting ≤ 5 or ≥ 10 h, respectively and such individuals should be prioritised for more intensive treatment for CVD prevention.

Indexed as

Brain IschemiaCoronary DiseaseStrokeAdultEast Asian PeopleFemaleHumansMaleMiddle AgedProspective StudiesSleep DurationMyocardial infarctionProspective studiesSleep durationStroke

Identifiers

PMID37710209
PMCPMC10500908
OpenAlexW4386746877

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.