Evidence map›Paper›PMID 39424024›Full record

ArticleAmerican journal of ophthalmology2025

Associations Between Dry Eye Disease and Mental Health Conditions in the All of Us Research Program.

Aaron T Zhao, Jocelyn He, Yuqing Lei, Yong Chen, Gui-Shuang Ying

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

5 authors.

Aaron T ZhaoFrom the Perelman School of Medicine, The University of Pennsylvania (A.T.Z.), Philadelphia, Pennsylvania, USA; Department of Ophthalmology, Perelman School of Medicine, Scheie Eye Institute, The University of Pennsylvania (A.T.Z., J.H., G.-S.Y.), Philadelphia, Pennsylvania, USA.
Jocelyn HeDepartment of Ophthalmology, Perelman School of Medicine, Scheie Eye Institute, The University of Pennsylvania (A.T.Z., J.H., G.-S.Y.), Philadelphia, Pennsylvania, USA; Center for Preventive Ophthalmology and Biostatistics, Department of Ophthalmology, Perelman School of Medicine, The University of Pennsylvania (J.H., G.-S.Y.), Philadelphia, Pennsylvania, USA.
Yuqing LeiThe Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania (Y.L., Y.C.), Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania (Y.L., Y.C.), Philadelphia, Pennsylvania, USA.
Yong ChenThe Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania (Y.L., Y.C.), Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania (Y.L., Y.C.), Philadelphia, Pennsylvania, USA; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, The University of Pennsylvania (Y.C.), Philadelphia, Pennsylvania, USA; Leonard Davis Institute of Health Economics (Y.C.), Philadelphia, Pennsylvania, USA; Penn Medicine Center for Evidence-based Practice (CEP) (Y.C.), Philadelphia, Pennsylvania, USA; Penn Institute for Biomedical Informatics (IBI) (Y.C.), Philadelphia, Pennsylvania, USA.
Gui-Shuang YingDepartment of Ophthalmology, Perelman School of Medicine, Scheie Eye Institute, The University of Pennsylvania (A.T.Z., J.H., G.-S.Y.), Philadelphia, Pennsylvania, USA; Center for Preventive Ophthalmology and Biostatistics, Department of Ophthalmology, Perelman School of Medicine, The University of Pennsylvania (J.H., G.-S.Y.), Philadelphia, Pennsylvania, USA. Electronic address: gsying@pennmedicine.upenn.edu.

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CLAIRE H MITCHELL · 1985 to 2026
$19.5M
NEI NIH HHS P30 EY001583
6 · The paper itself

Abstract

purposeTo determine the association between dry eye disease (DED) and mental health conditions in a sociodemographically diverse nationwide population of Americans.

designCross-sectional study.

methodsWe used the National Institute of Health's All of Us Research Program database to identify 18257 participants with DED who were propensity score matched in a 1:3 ratio to participants without DED. Univariate and multivariable logistic regression models were used to assess associations between DED and mental health conditions (i.e., depressive disorders, anxiety, bipolar disorder, and schizophrenic spectrum disorder).

resultsParticipants with DED had a significantly higher prevalence of depressive disorders (31.6% vs. 10.7%; P < .001), anxiety disorders (34.8% vs. 14.7%; P < .001), bipolar disorder (5.5% vs. 2.3%; P < .001), and schizophrenia spectrum disorders (2.3% vs. 0.9%; P < .001) than controls. Adjusted for medical comorbidities (i.e., hypothyroidism, Sjögren's syndrome, systemic lupus erythematosus), participants with DED had higher odds than controls in having a depressive disorder (odds ratio [OR]: 3.47; 95% CI: 3.32-3.62), anxiety (OR: 2.74; 95% CI: 2.63-2.85), bipolar disorder (OR: 2.23; 95% CI: 2.04-2.44), and schizophrenia spectrum disorder (OR: 2.48; 95% CI: 2.17-2.84). The association between DED and mental health conditions was stronger in Black participants than White participants (OR: 3.68 vs. 3.09, P < .001).

conclusionsParticipants with DED were significantly more likely to have mental health conditions than matched participants without DED; this association was stronger in Black participants than White participants. Greater efforts should be undertaken to screen DED patients for mental health conditions, particularly in historically medically underserved populations.

Indexed as

Dry Eye SyndromesMental DisordersMental HealthAdultAgedComorbidityCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedPrevalencePropensity ScoreUnited States

Identifiers

PMID39424024
PMCPMC11735302

What OpenQuestion holds

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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.