254435 Visual impairment among adults aged ≥40 years — New Mexico, 2008

Tuesday, October 30, 2012 : 4:50 PM - 5:10 PM

Mam Ibraheem, MD, MPH, Epidemic Intelligence Service Officer , OSELS/SEPDPO/DAS/EFAB Assigned to NMDOH/ERD, Centers for Disease Control and Prevention, Santa Fe, NM
Background: During 2000, approximately 3.4 million U.S. residents aged ≥40 years were blind or visually impaired; this number is predicted to double by 2030. Timely detection and treatment of ocular diseases can reduce visual impairment (VI). VI prevalence and covariates were assessed to guide prevention strategies.

Methods: We analyzed 2008 Behavioral Risk Factor Surveillance System data for 4743 New Mexico adults aged ≥40 years. VI was defined as any difficulty with near or far vision, while wearing glasses or contact lenses for those using them. Adjusted odds ratios (aORs) from complex-survey logistic regression and weighted percentages were calculated.

Results: VI prevalence was 44.9% (95% confidence interval [CI]: 43.1–46.8) and was significantly more prevalent among Hispanics (52.3%; 95% CI: 48.9%–55.7%) and American Indians/Alaska Natives (AI/ANs) (51.6%; 95% CI: 43.2%–59.9%) than non-Hispanic whites (40.5%; 95% CI: 38.3%–42.9%). VI was significantly associated with ages 40–64 years (aOR:1.28; 95% CI: 1.04–1.57), unemployment (aOR: 2.01; 95% CI: 1.24–3.28), no college education (aOR: 1.37; 95% CI: 1.13–1.66), annual household income ≤$49,999 (aOR: 1.34; 95% CI: 1.10–1.63), inability to visit doctor because of cost (aOR: 1.61; 95% CI: 1.23–2.11), and no eye-care visit in ≥2 years (aOR: 1.42; 95% CI: 1.16–1.74).

Conclusions: VI prevalence was highest among Hispanics and AI/ANs and was associated with middle age, limited care access, and lower socioeconomic status. VI disparities should be addressed through a vision health initiative that increases access to eye care services among groups at high risk.

Learning Areas:
Epidemiology

Learning Objectives:
1-Describe the burden and significance of visual impairment and blindness. 2-Explain the importance of the BRFSS vision module to estimate visual impairment prevalenc 3-Demonstrate how to use complex-survey logistic regression to assess visual impairment associated-covariates.

Keywords: Vision Care, Epidemiology

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I am currently an Epidemic Intelligence Service (EIS) officer with the Centers for Disease Control and Prevention (CDC). In addition, I am a physician, epidemiologist, and a Fulbright alumnus. I worked as a research assistant for many NIH funded projects during my MPH study. In addition, I attended and I had oral presentations in many past national epidemiologic conferences such as EIS, CSTE, and APHA.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.