Evidence map›Paper›PMID 42613167›Full record

ArticleThe British journal of ophthalmology2026

Assessing physical activity and sleep patterns in glaucoma using wearable devices.

Isaac Bernstein, Sheharbano Jafry, Kuldev Singh, Sophia Y Wang

Abstract read
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Article in The British journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Isaac BernsteinDepartment of Ophthalmology, Byers Eye Institute, Palo Alto, California, USA.
Sheharbano JafryByers Eye Institute, Palo Alto, California, USA.
Kuldev SinghOphthalmology, Stanford University, Palo Alto, California, USA.
Sophia Y WangDepartment of Ophthalmology, Byers Eye Institute, Palo Alto, California, USA sywang@stanford.edu.ORCID http://orcid.org/0000-0003-0916-9403

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Personalized Predictions for Glaucoma Progression Using Artificial Intelligence for Electronic Health RecordsK23EY032635 · NEI · STANFORD UNIVERSITY · PI WANG, SOPHIA YING · 2021 to 2025
$1.2M
NEI NIH HHS K23 EY032635NEI NIH HHS P30 EY026877
6 · The paper itself

Abstract

BACKGROUND/

aimsGlaucoma has been linked to reduced physical activity and disturbed sleep, but large-scale studies using objective wearable data are scarce. We compared activity and sleep metrics between adults with and without glaucoma using commercial wrist-worn devices.

methodsWe conducted a retrospective cross-sectional study within the All of Us Research Program (Registered Tier v8). Participants aged ≥40 years with Fitbit data and with or without a glaucoma diagnosis were included (n=40 743). Daily averages of steps, activity intensity, active calories and time in sleep stages were calculated. Multivariable linear mixed-effects models were adjusted for demographics, body mass index, comorbid sleep disorders and cardiovascular diseases.

resultsOf 40 743 participants with complete data, 1245 (3.1%) had glaucoma, contributing a mean of 2.5 years of wearable data. Compared with controls, glaucoma participants had lower daily active calories, fewer lightly and fairly active minutes and fewer steps. They spent less time in bed and asleep, with relatively more light sleep but less deep sleep, REM sleep and restless time. After adjustment, glaucoma remained associated with fewer restless minutes of sleep.

conclusionIn this large wearable-based cohort, glaucoma was independently associated with modest reductions in restless minutes, but not physical activity or other measures of sleep architecture.

Indexed as

EpidemiologyGlaucoma

Identifiers

PMID42613167
PMCPMC13618013

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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.