Evidence map›Paper›PMID 42141149›Full record

ArticleEye (London, England)2026

Vision in the margins: the association between census tract neighbourhood disadvantage and visual difficulty and blindness in the United States.

Jenna Hart, Minnie Bluhm, Tiffani R Spaulding, Amanda Nwokeji, Angela R Elam, Dean VanNasdale, Erica Shelton, Maria A Woodward, Paula Anne Newman-Casey, Patrice M Hicks

Abstract read
In one paragraph

Article in Eye (London, England), 2026. 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

10 authors.

Jenna Hart *Wayne State University School of Medicine, Detroit, MI, USA.
Minnie Bluhm *Department of Health Sciences, Eastern Michigan University, Ypsilanti, MI, USA.
Tiffani R SpauldingDepartment of Ophthalmology and Visual Sciences, University of Chicago, Chicago, IL, USA.
Amanda NwokejiUniversity of Michigan Medical School, Ann Arbor, MI, USA.
Angela R ElamDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Dean VanNasdaleSchool of Optometry, The Ohio State University, Columbus, OH, USA.
Erica SheltonSchool of Optometry, The Ohio State University, Columbus, OH, USA.
Maria A WoodwardDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-7060-9004
Paula Anne Newman-CaseyDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-0847-1929
Patrice M HicksDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA. pmhicks@med.umich.edu.ORCID http://orcid.org/0000-0003-3399-9028

Funding

VIVARIUM MODULEP30EY007003 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Antonetti · 1987 to 2026
$17.6M
Michigan Program for Advancing Cultural Transformation (M-PACT) in Biomedical and Health SciencesU54CA280805 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Reshma Jagsi, ROBERT M SELLERS · 2023 to 2026
$15.7M
Michigan IRACDA: Training Future Professors of Engineering and PhysiologyK12GM111725 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, SUSAN V, SEPT, DAVID · 2016 to 2025
$7.9M
Support, Educate, Empower: The SEE Personalized Glaucoma Coaching Trial: Diversity SupplementR01EY031337 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEWMAN-CASEY, PAULA ANNE · 2020 to 2024
$3.9M
NCI NIH HHS U54 CA280805NEI NIH HHS P30 EY007003NEI NIH HHS R01 EY031337NIGMS NIH HHS K12 GM111725U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U54CA280805U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) R01EY031337-03S1U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) K12GM111725
6 · The paper itself

Abstract

BACKGROUND/

objectivesTo investigate the utility of using a census tract (CT) measure to assess neighbourhood disadvantage and to explore its effects on CT measures of visual difficulty and blindness (VDB). SUBJECTS/

methodsThis cross-sectional study used census tract data from the 2018 to 2022 American Community Survey and the National Neighbourhood Data Archive Neighbourhood Socioeconomic Status and Demographic Characteristics. CT measures of neighbourhood disadvantage, VDB, and demographics were summarized with descriptive statistics (mean, standard deviation (SD)). The main outcome was the number of CTs residents reporting VDB and the association with neighbourhood disadvantage (an aggregate measure ranging from 0 to 1 with higher scores indicating more disadvantage) assessed using logistic regression.

resultsIn total, 83,388 CTs were included, with a mean of 2.53% of the population reporting VDB (SD = 2.62) and a mean neighbourhood disadvantage of 0.18 (SD = 0.12). Neighbourhood disadvantage was associated with 2.9% increased odds of VDB (Odds Ratio (OR): 1.029; 95% Confidence Interval (CI): 1.029,1.029; p < 0.001), after adjusting for neighbourhood demographics including median age, percentage of the CT that were female sex, percentage of the CT that identified as a person of colour, population size of the CT, and the state in which the CT was located.

conclusionThis study identified that neighbourhood disadvantage was associated with a greater number of residents reporting VDB. Clinicians could use this measure to identify neighbourhoods with both higher levels of visual impairment and greater neighbourhood deprivation, allowing for targeted interventions that provide eye disease screening and eye care to those most at risk for poor vision outcomes.

Indexed as

BlindnessCensus TractNeighborhood CharacteristicsPersons with Visual DisabilitiesResidence CharacteristicsVisual AcuityAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic Disparities in HealthUnited States

Identifiers

PMID42141149
PMCPMC13416027

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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.