Evidence map›Paper›PMID 36319053›Full record

ArticleBMJ open2022

Association of sleep behaviour and pattern with the risk of glaucoma: a prospective cohort study in the UK Biobank.

Cun Sun, Huazhen Yang, Yihan Hu, Yuanyuan Qu, Yao Hu, Yajing Sun, Zhiye Ying, Huan Song

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.7field-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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Adrenergic Pathways Mediate Circadian IOP Rhythm in Rats.Investigative ophthalmology & visual science · 2026
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  4. Intrinsic Capacity, Polygenic Risk Score, and Risk of Glaucoma.Translational vision science & technology · 2026
    Article
  5. Article
  6. Circadian IOP Rhythm in Rats Is Driven by Neural Signals From the Brain.Investigative ophthalmology & visual science · 2026
    Article
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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

8 authors at 2 institutions in 4 countries.

Cun SunBeijing Huimin Hospital, Beijing, China.
Huazhen YangWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Yihan HuInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8948-4376
Yuanyuan QuWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Yao HuWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Yajing SunWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Zhiye YingWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Huan SongWest China Biomedical Big Data Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China songhuan@wchscu.cn.ORCID 0000-0003-3845-8079
Sichuan University · CNUniversity of Iceland · IS

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

objectivesGiven the role of intraocular pressure in glaucoma, the patient's sleeping pattern might contribute to the development and progression of glaucoma. We performed a study to understand the association between sleep behaviours and glaucoma.

designOur study was a prospective cohort study.

settingThis was a prospective cohort study in the UK Biobank. Self-reported data on five sleep behaviours were collected using a questionnaire at baseline. We identified four sleep patterns based on a cluster analysis of the sleep behaviours.

participantsIn the UK Biobank, 409 053 participants were recruited between 2006 and 2010 and followed for a diagnosis of glaucoma. We identified glaucoma as any hospital admission with a diagnosis of glaucoma, based on UK Biobank inpatient hospital data. Individuals who withdrew from the UK Biobank, or were diagnosed with glaucoma before recruitment, or had self-reported surgery or laser treatment for glaucoma, or had no information on sleep behaviors were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: We estimated hazard ratios (HRs) with 95% confidence intervals (CI) using Cox proportional hazards models to estimate the associations of different sleep behaviors, as well as identified sleep patterns, with the risk of glaucoma, adjusting for multiple confounders.

resultsCompared with individuals who had a healthy sleep pattern, an excess risk of any glaucoma was observed among individuals with snoring and daytime sleepiness (HR 1.11, 95% CI 1.03 to 1.19) or insomnia and short/long sleep duration (HR 1.13, 95% CI 1.06 to 1.20), but not late chronotype sleep pattern (HR 0.98, 95% CI 0.93 to 1.03).

conclusionSnoring, daytime sleepiness, insomnia, and short/long duration, individually or jointly, were all associated with the risk of glaucoma. These findings underscore the need for sleep intervention for individuals at high risk of glaucoma as well as potential ophthalmologic screening among individuals with chronic sleep problems for glaucoma prevention.

Indexed as

Disorders of Excessive SomnolenceGlaucomaSleep Initiation and Maintenance DisordersSleep Wake DisordersBiological Specimen BanksHumansProspective StudiesSleepSnoringUnited Kingdomepidemiologyglaucomasleep medicine

Identifiers

PMID36319053
PMCPMC9644340
OpenAlexW4307827222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.