Evidence map›Paper›PMID 40684968›Full record

ArticleAmerican journal of ophthalmology2025

Burden and Predictors of Undetected Eye Disease in Adult African Americans: African American Eye Disease Study (AFEDS).

Nathan Dhablania, Mina Torres, Bruce Burkemper, Roberta McKean-Cowdin, Xuejuan Jiang, Rohit Varma, African American Eye Disease Study Group

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

7 authors.

Nathan DhablaniaFrom the Southern California Eye Institute (N.D., M.T., R.V.), Los Angeles, California, USA.
Mina TorresFrom the Southern California Eye Institute (N.D., M.T., R.V.), Los Angeles, California, USA.
Bruce BurkemperKeck School of Medicine (B.B., R.M.C., X.J.), University of Southern California, Los Angeles, California, USA.
Roberta McKean-CowdinKeck School of Medicine (B.B., R.M.C., X.J.), University of Southern California, Los Angeles, California, USA.
Xuejuan JiangKeck School of Medicine (B.B., R.M.C., X.J.), University of Southern California, Los Angeles, California, USA.
Rohit VarmaFrom the Southern California Eye Institute (N.D., M.T., R.V.), Los Angeles, California, USA. Electronic address: rvarma@sceyes.org.
African American Eye Disease Study Group

Funding

African American Eye Disease StudyU10EY023575 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VARMA, ROHIT · 2013 to 2017
$12.1M
NEI NIH HHS U10 EY023575
6 · The paper itself

Abstract

purposeTo estimate the burden of and to evaluate the predictors associated with Undetected Eye Disease (UED) in African American adults.

designPopulation-based cross-sectional study.

participantsSelf-identified African American participants 40 years and older (n = 6347) from thirty contiguous census tracts in Inglewood, California.

methodsParticipants from the African American Eye Disease Study (AFEDS) underwent a complete ophthalmic examination and an in-home-administered questionnaire to assess predisposing, need, enabling, and health behavior predictors associated with UED, including an assessment of ocular conditions such as age-related macular degeneration (AMD), open-angle glaucoma, diabetic retinopathy (DR), visually-significant cataract, and refractive error. Participants with any eye disease (n = 3434) were included in these analyses. UED was defined as having 1 or more eye diseases (AMD, glaucoma, DR, visually-significant cataract-visual acuity in the cataractous less than 20/40, and refractive error) based on the eye examination and self-reporting no known history of any eye disease. The independent associations with UED were explored using multiple logistic regression analysis. MAIN OUTCOMES AND MEASURES: Prevalence of and predisposing, need, enabling, and health behavior predictors of UED.

resultsFifty-four percent (3434 of 6347) of the participants had eye disease. Twenty-two percent (766 of 3434) of them had undetected eye disease. The major risk factors for UED included having diabetes mellitus (OR [95% CI], 3.52 [2.92-4.26], P < .0001), never having had an eye examination (OR [95% CI], 1.75 [1.14-2.65], P < .0001), having had an eye examination more than 5 years ago (OR [95% CI], 1.66 [1.19-2.31], P < .0001), having poor or very poor general vision (OR [95% CI], 1.89 [1.58-2.27], P < .0001), and trouble getting glasses (OR [95% CI], 1.57 [1.28-1.94], P < .0001).

conclusionsOur data provides evidence of the significant burden of UED among African American individuals. Interventions that address the modifiable risk factors (e.g., trouble getting glasses, never having had an eye examination) may improve detection of eye disease and decrease the burden of VI in this high-risk minority population.

Indexed as

Black or African AmericanEye DiseasesUndiagnosed DiseasesAdultAgedAged, 80 and overCaliforniaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesVisual Acuity

Identifiers

PMID40684968
PMCPMC12313231

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