Evidence map›Paper›PMID 40835392›Full record

Observational studyThe British journal of ophthalmology2025

Patterns and correlates of visual impairment and ocular hypertension among older adults in the general Chinese population: results from the CKB Biobank.

Zilun Shao, Aolin Li, Jun Lv, Canqing Yu, Lang Pan, Pei Pei, Ling Yang, Yiping Chen, Yilei Li, Dan Schmidt and 9 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The British journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Zilun ShaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.ORCID http://orcid.org/0009-0002-9807-8975
Aolin LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Lang PanPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Yilei LiNCDs Prevention and Control Department, Meilan CDC, Haikou, Hainan, China.
Dan SchmidtClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Maxim BarnardClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Hubert LamClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Fiona BraggClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK.
Liming LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, UK dsun1@bjmu.edu.cn huaidong.du@ndph.ox.ac.uk.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China dsun1@bjmu.edu.cn huaidong.du@ndph.ox.ac.uk.
China Kadoorie Biobank Collaborative Group

Funding

Wellcome Trust 088158Wellcome Trust 104085Wellcome Trust 202922Wellcome Trust 212946
6 · The paper itself

Abstract

backgroundWhile numerous ophthalmology-specific cohort studies have been conducted in China, there is a significant lack of comprehensive, population-based study on the potential determinants of visual impairment and ocular hypertension (OHT) in the general Chinese population.

methodsIn the 2020-2021 resurvey of the China Kadoorie Biobank study, ~25 000 randomly selected participants from 10 diverse localities (5 urban and 5 rural) were surveyed. Presenting visual acuity (PVA) was measured using the Random E eye chart and intraocular pressure (IOP) was measured using a handheld Icare (ic100) tonometer. Associations of sociodemographic and other factors with risks of visual impairment and OHT were examined using multivariable logistic regression.

resultsAmong the 24 613 (aged 45-95 years, 64.4% women) participants, 21.8% had visual impairment (PVA <0.50) and 18.4% had OHT (IOP >18.6 mm Hg). The prevalence rate of visual impairment increased dramatically with age (49.3% in those ≥75 years vs 8.9% in those <55 years), but an opposite trend was observed for OHT. Risks of these two eye conditions were both inversely associated with household income and fish consumption but positively with systolic blood pressure and blood glucose. Higher education was associated with a higher OHT risk but not with visual impairment. Body mass index was inversely associated with visual impairment but positively with OHT. Age-related macular degeneration and glaucoma were most strongly associated with risk of visual impairment, followed by cataract.

conclusionThe relatively high prevalence rates of poor vision and OHT in China suggest that well-targeted public health interventions should be developed.

Indexed as

Ocular HypertensionPersons with Visual DisabilitiesVision DisordersVisual AcuityAgedAged, 80 and overBiological Specimen BanksChinaCross-Sectional StudiesFemaleHumansIntraocular PressureMaleMiddle AgedPrevalenceRisk FactorsEpidemiologyGlaucomaOcular HypertensionPublic healthVision

Identifiers

PMID40835392
PMCPMC7618444

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Registered trials

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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.