Evidence map›Paper›PMID 40743551›Full record

ArticleJMIR aging2025

The Impact of Vision Impairment on Self-Reported Falls Among Older US Adults: Cross-Sectional and Longitudinal Study.

Kasem Seresirikachorn, Rachasak Somyanonthanakul, Matthew Johnson, Panisa Singhanetr, Jiraporn Gatedee, David Friedman, Nazlee Zebardast

Abstract read
In one paragraph

Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

7 authors.

Kasem SeresirikachornMassachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States, 1 617-573-3202.ORCID http://orcid.org/0000-0001-7963-5591
Rachasak SomyanonthanakulData Science and Innovation, College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand.ORCID http://orcid.org/0000-0003-4532-0131
Matthew JohnsonMassachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States, 1 617-573-3202.ORCID http://orcid.org/0000-0002-7999-3273
Panisa SinghanetrMassachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States, 1 617-573-3202.ORCID http://orcid.org/0000-0001-9118-8499
Jiraporn GatedeeFaculty of Medical Technology, Rangsit University, Pathum Thani, Thailand.ORCID http://orcid.org/0009-0003-1365-9904
David FriedmanMassachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States, 1 617-573-3202.ORCID http://orcid.org/0000-0002-2055-5797
Nazlee ZebardastMassachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States, 1 617-573-3202.ORCID http://orcid.org/0000-0003-1763-9401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Falls are the leading cause of injury among older adults, with vision impairment recognized as a significant risk factor. However, many existing studies have been limited by small sample sizes, retrospective designs, or insufficient adjustment for confounding factors. To overcome these limitations, we used data from the University of Michigan's Health and Retirement Study (HRS) to analyze the association between self-reported vision and fall risk among older adults in a large, nationally representative sample. Objective: The objective of this study was to investigate the association between vision impairment and falls and assess whether subjective vision impairment predicts future falls in older adults. Methods: This cross-sectional and longitudinal analysis used data from the HRS (1996-2020) to assess the relationship between self-reported vision, glaucoma history, and falls among US adults aged 65 years and older. HRS uses a biennial, multistage area probability sample survey design, collecting data with community-dwelling individuals followed up every 2 years until death, tracking health, economic, and social outcomes. Multivariate logistic regression was used to analyze associations between self-reported vision and self-reported falls in the past 2 years. Results: A total of 38,835 respondents contributed 117,834 observations. The weighted proportion of participants reporting falls was 37.9% (95% CI 37.7%-40.1%). Significant risk factors for falls included overall eyesight impairment (adjusted odds ratio [aOR] 1.36, 95% CI 1.20-1.56), distance vision impairment (aOR 1.37, 95% CI 1.32-1.42), near vision impairment (aOR 1.33, 95% CI 1.27-1.37), and glaucoma (aOR 1.15, 95% CI 1.07-1.24). A similar association was observed for serious falls, where overall eyesight impairment (aOR 1.20, 95% CI 1.03-1.44), distance vision impairment (aOR 1.14, 95% CI 1.07-1.22), near vision impairment (aOR 1.12, 95% CI 1.05-1.18), and glaucoma (aOR 1.15, 95% CI 1.05-1.26) were significant. In longitudinal analyses, overall vision impairment (aOR 1.23, 95% CI 1.16-1.29), distance vision impairment (aOR 1.27, 95% CI 1.20-1.38), near vision impairment (aOR 1.23, 95% CI 1.19-1.32), and glaucoma (aOR 1.25, 95% CI 1.13-1.37) increased the risk of future falls. Reported overall vision was significantly associated with the number of falls in both the same (P<.001) and subsequent (P<.001) survey cycles. Conclusions: Both distance and near vision impairment, as well as glaucoma, are associated with a higher risk of falls in older adults and present possible areas for intervention and prevention.

Indexed as

Accidental FallsVision DisordersAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleRisk FactorsSelf ReportUnited StateselderlyfallsglaucomaHealth and Retirement Studyvision impairment

Identifiers

PMID40743551
PMCPMC12313157

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.