Evidence map›Paper›PMID 23471505›Full record

ArticleJAMA ophthalmology2013

Association between depression and functional vision loss in persons 20 years of age or older in the United States, NHANES 2005-2008.

Xinzhi Zhang, Kai McKeever Bullard, Mary Frances Cotch, M Roy Wilson, Barry W Rovner, Gerald McGwin, Cynthia Owsley, Lawrence Barker, John E Crews, Jinan B Saaddine

Open access · greenAbstract read
In one paragraph

Article in JAMA ophthalmology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed, 4 pooled it
9.4field-weighted citation impact, top 1% of its field
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

138 citing papers in PubMed, 4 syntheses or guidelines pooled it, 285 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Observational
  9. Risk of mental health disorders following traumatic ocular and orbital injury.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  13. Screening Questions to Identify Low Vision and Acuity-Defined Legal Blindness.Investigative ophthalmology & visual science · 2026
    Article
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78 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Xinzhi ZhangDivision of Data Management and Scientific Reporting, National Institutes of Health, Bethesda, MD 20892, USA. xinzhi.zhang@nih.gov
Kai McKeever Bullard
Mary Frances Cotch
M Roy Wilson
Barry W Rovner
Gerald McGwin
Cynthia Owsley
Lawrence Barker
John E Crews
Jinan B Saaddine
National Institutes of Health · US

Funding

Vision In NhanesZIAEY000402 · NEI · NATIONAL EYE INSTITUTE · PI COTCH, MARY FRANCES · 2009 to 2020
$356k
Vision In NHANESZ01EY000402 · NEI · NATIONAL EYE INSTITUTE · PI COTCH, MARY FRANCES · 2002 to 2008
$148k
Intramural NIH HHS Z01 EY000402Intramural NIH HHS Z99 EY999999Intramural NIH HHS ZIA EY000402
6 · The paper itself

Abstract

importanceThis study provides further evidence from a national sample to generalize the relationship between depression and vision loss to adults across the age spectrum. Better recognition of depression among people reporting reduced ability to perform routine activities of daily living due to vision loss is warranted.

objectivesTo estimate, in a national survey of US adults 20 years of age or older, the prevalence of depression among adults reporting visual function loss and among those with visual acuity impairment. The relationship between depression and vision loss has not been reported in a nationally representative sample of US adults. Previous studies have been limited to specific cohorts and predominantly focused on the older population.

designThe National Health and Nutrition Examination Survey (NHANES) 2005-2008.

settingA cross-sectional, nationally representative sample of adults, with prevalence estimates weighted to represent the civilian, noninstitutionalized US population.

participantsA total of 10 480 US adults 20 years of age or older.

main outcome measuresDepression, as measured by the 9-item Patient Health Questionnaire depression scale, and vision loss, as measured by visual function using a questionnaire and by visual acuity at examination.

resultsIn 2005-2008, the estimated crude prevalence of depression (9-item Patient Health Questionnaire score of ≥10) was 11.3% (95% CI, 9.7%-13.2%) among adults with self-reported visual function loss and 4.8% (95% CI, 4.0%-5.7%) among adults without. The estimated prevalence of depression was 10.7% (95% CI, 8.0%-14.3%) among adults with presenting visual acuity impairment (visual acuity worse than 20/40 in the better-seeing eye) compared with 6.8% (95% CI, 5.8%-7.8%) among adults with normal visual acuity. After controlling for age, sex, race/ethnicity, marital status, living alone or not, education, income, employment status, health insurance, body mass index, smoking, binge drinking, general health status, eyesight worry, and major chronic conditions, self-reported visual function loss remained significantly associated with depression (overall odds ratio, 1.9 [95% CI, 1.6-2.3]), whereas the association between presenting visual acuity impairment and depression was no longer statistically significant. CONCLUSIONS AND RELEVANCE: Self-reported visual function loss, rather than loss of visual acuity, is significantly associated with depression. Health professionals should be aware of the risk of depression among persons reporting visual function loss.

Indexed as

Activities of Daily LivingAdultAgedCross-Sectional StudiesDepressive DisorderFemaleHealth StatusHumansIntelligence TestsMaleMiddle AgedNutrition SurveysPrevalenceSurveys and QuestionnairesUnited StatesVision Disorders

Identifiers

PMID23471505
PMCPMC3772677
OpenAlexW2002519882

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.