Evidence map›Paper›PMID 40221561›Full record

ArticleEye (London, England)2025

Visual impairment, age-related eye disease, and sleep dysfunction in older adults.

Alan Y Huang, Joshua R Ehrlich, Ali G Hamedani

Registry-linked trialAbstract read
In one paragraph

Article in Eye (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07768033 (THE EFFECT OF CHAIR-ASSISTED YOGA PRACTICE ON SLEEP QUALITY AND PAIN LEVELS IN ELDERLY INDIVIDUALS LIVING IN NURSING HOMES), which is not on this 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.

NCT07768033 nacompletednot on this mapstarted 2026, after this paper: background citation

The effect of chair-assisted yoga practice on sleep quality and pain levels in elderly individuals living in nursing homes

TypeinterventionalSponsorRüveyda BerkRan2026 to 2026Enrolled36ConditionsSleep Quality, PainArmsChair-Supported Yoga
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

3 authors.

Alan Y HuangDepartments of Neurology, Ophthalmology, and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0006-7236-5254
Joshua R EhrlichDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Ali G HamedaniDepartments of Neurology, Ophthalmology, and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Ali.hamedani@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-5949-6395

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Vision Impairment in the National Health and Aging Trends StudyR01EY034479 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joshua Robert Ehrlich · 2023 to 2026
$2.6M
Sensory Aging, Late-Life Wellbeing, and ADRD Research Infrastructure to Catalyze Practice and PolicyR61AG089063 · NIA · JOHNS HOPKINS UNIVERSITY · PI DEAL, JENNIFER ANNE, EHRLICH, JOSHUA ROBERT · 2024 to 2025
$1.6M
Vision and hallucinations in older adultsK23EY033438 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Ali G Hamedani · 2022 to 2026
$1.2M
NEI NIH HHS K23 EY033438NEI NIH HHS R01 EY034479NIA NIH HHS R61 AG089063NIA NIH HHS U01 AG032947U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) K23EY033438-03U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) R01EY034479U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R61AG089063
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe visual system affects circadian rhythms, and both visual and sleep difficulties are common in older adults. This study examines the association between visual impairment, age-related eye disease, and sleep disturbances among older adults in the United States. SUBJECTS/

methodsThis cross-sectional study used Round 11 of the National Health and Aging Trends Study (NHATS). Vision was assessed using self-report and objective assessments (distance and near acuity, contrast sensitivity). Medicare claims data were used to identify diagnoses of age-related macular degeneration, glaucoma, diabetic retinopathy, and cataract. Primary outcomes included self-reported sleep disturbances, defined by difficulties in sleep initiation, maintenance, and medication use. Logistic regression models were adjusted for demographic and clinical variables.

resultsAmong 3817 participants (56% female), difficulty with sleep initiation, maintenance, and medication use were reported by 41.7%, 44.2%, and 26.5% of the cohort, respectively. In unadjusted models, self-reported visual difficulty was associated with sleep initiation (OR 1.80, 95% CI: 1.43-2.29) and maintenance difficulties (OR 1.53, 95% CI: 1.16-2.02) and sleep medication use (OR 1.68, 95% CI: 1.27-2.24). After adjusting for covariates, self-reported visual difficulty remained significantly associated with sleep medication use (OR 1.40, 95% CI: 1.00-1.95). Near acuity and contrast sensitivity were associated with sleep initiation difficulties but did not remain significant after adjustment. No associations were found between ophthalmic diagnoses and outcomes.

conclusionSelf-reported visual difficulty is associated with increased sleep medication use in older adults. Because visual impairment and sleep medications are associated with falls and cognitive decline, future studies should consider these comorbidity patterns.

Indexed as

AgingEye DiseasesPersons with Visual DisabilitiesSleep Wake DisordersVision DisordersAgedAged, 80 and overContrast SensitivityCross-Sectional StudiesFemaleGlaucomaHumansMacular DegenerationMaleSelf ReportUnited States

Identifiers

PMID40221561
PMCPMC12209426

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Registered trials

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.