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Prevalence of Diabetic Retinopathy in the United States, 2005-2008
Open accessAbstract
CONTEXT: The prevalence of diabetes in the United States has increased. People with diabetes are at risk for diabetic retinopathy. No recent national population-based estimate of the prevalence and severity of diabetic retinopathy exists. OBJECTIVES: To describe the prevalence and risk factors of diabetic retinopathy among US adults with diabetes aged 40 years and older. DESIGN, SETTING, AND PARTICIPANTS: Analysis of a cross-sectional, nationally representative sample of the National Health and Nutrition Examination Survey 2005-2008 (N = 1006). Diabetes was defined as a self-report of a previous diagnosis of the disease (excluding gestational diabetes mellitus) or glycated hemoglobin A(1c) of 6.5% or greater. Two fundus photographs were taken of each eye with a digital nonmydriatic camera and were graded using the Airlie House classification scheme and the Early Treatment Diabetic Retinopathy Study severity scale. Prevalence estimates were weighted to represent the civilian, noninstitutionalized US population aged 40 years and older. MAIN OUTCOME MEASUREMENTS: Diabetic retinopathy and vision-threatening diabetic retinopathy. RESULTS: The estimated prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy was 28.5% (95% confidence interval [CI], 24.9%-32.5%) and 4.4% (95% CI, 3.5%-5.7%) among US adults with diabetes, respectively. Diabetic retinopathy was slightly more prevalent among men than women with diabetes (31.6%; 95% CI, 26.8%-36.8%; vs 25.7%; 95% CI, 21.7%-30.1%; P = .04). Non-Hispanic black individuals had a higher crude prevalence than non-Hispanic white individuals of diabetic retinopathy (38.8%; 95% CI, 31.9%-46.1%; vs 26.4%; 95% CI, 21.4%-32.2%; P = .01) and vision-threatening diabetic retinopathy (9.3%; 95% CI, 5.9%-14.4%; vs 3.2%; 95% CI, 2.0%-5.1%; P = .01). Male sex was independently associated with the presence of diabetic retinopathy (odds ratio [OR], 2.07; 95% CI, 1.39-3.10), as well as higher hemoglobin A(1c) level (OR, 1.45; 95% CI, 1.20-1.75), longer duration of diabetes (OR, 1.06 per year duration; 95% CI, 1.03-1.10), insulin use (OR, 3.23; 95% CI, 1.99-5.26), and higher systolic blood pressure (OR, 1.03 per mm Hg; 95% CI, 1.02-1.03). CONCLUSION: In a nationally representative sample of US adults with diabetes aged 40 years and older, the prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy was high, especially among Non-Hispanic black individuals.
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“This care gap is a major source of health disparity, with racial and ethnic minorities, and under-resourced communities, having worse outcomes, and a disproportionately higher prevalence of DED2,5–9.”
From Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial (2024) · cites this paper as [2]
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Cen, Y., Feng, D., Kowsar, R., Cheng, Z., Luo, Y., & Xiao, Q. (2023) · Endocrine Research · doi:10.1080/07435800.2023.2280571 · Cited by 1
Accurate Classification of Tessellated Retinal Disease with Deep Learning Model
Anvesh, K., & Reshmi, B. M. (2024) · International Conference on Emerging Smart Computing and Informatics (ESCI) · doi:10.1109/esci59607.2024.10497221 · Cited by 1
Ali, B., & Mohammed, D. (2020) · Iraqi Journal of Community Medicine · doi:10.4103/irjcm.irjcm_2_20 · Cited by 2
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Tseng, V. L., Kitayama, K., Yu, F., & Coleman, A. L. (2025) · Journal of Glaucoma · doi:10.1097/ijg.0000000000002561 · Cited by 1
Retracted: Diabetic Retinopathy Detection Using Image Analysis with Deep Learning
Bhadoriya, A., Sharma, N., Mehrotra, R., Chouhan, R. N. S., Sharma, S., & Kukade, J. (2024) · IEEE International Conference on ICT in Business Industry & Government (ICTBIG) · doi:10.1109/ictbig64922.2024.10910926 · Cited by 1
RetractedChen, X., Fu, Y., Si, H., Li, W., Yang, W., & Xiao, W. L. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-01926-z · Cited by 1
Anti-VEGF in diabetic retinopathy and diabetic macular edema
Habbu, K., & Singh, R. P. (2016) · Expert Review of Ophthalmology · doi:10.1080/17469899.2016.1251312 · Cited by 1
Endothelial Progenitor Cell Dysfunction in the Pathogenesis of Vascular Complications of Diabetes
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Predictors of severity of retinopathy among subjects with early onset type 2 diabetes mellitus
Prabhu, P. B., Mohammed, T., & Jyoth, P. T. (2019) · Indian Journal of Clinical and Experimental Ophthalmology · doi:10.18231/2395-1451.2018.0107 · Cited by 1
Metadata
- Authors
- Zhang, X., Saaddine, J. B., Chou, C.-F., Cotch, M. F., Cheng, Y. J., Geiss, L. S., Gregg, E. W., Albright, A. L., Klein, B. E. K., & Klein, R.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Zhang, Xinzhi
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2010-08-11
- Volume
- 304
- Issue
- 6
- Pages
- 649
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC2945293
- OpenAlex
- W2049036672
- Cited by
- 1,196
- References
- 41
- Citations by year
- 2026: 26 · 2025: 62 · 2024: 83 · 2023: 109 · 2022: 82 · 2021: 131 · 2020: 104 · 2019: 91 · 2018: 71 · 2017: 70 · 2016: 66 · 2015: 81 · 2014: 62 · 2013: 65 · 2012: 59
- FWCI
- 55.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 EY999999)
- U.S. Public Health Service (05FED47304)
- National Eye Institute (ZIAEY000402, Z01EY000402)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetic retinopathy, prevalence, vision-threatening diabetic retinopathy, diabetes mellitus, risk factors, sex differences, racial disparities, non-Hispanic Black adults, fundus photography, adults aged 40 and older, United States adults
- MeSH terms
- Adult, Aged, Black or African American, Cross-Sectional Studies, Diabetic Retinopathy, Female, Humans, Male, Middle Aged, Nutrition Surveys, Risk Factors, United States, Vision Disorders, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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