Disparities in the Prevalence of Diagnosed Diabetes - United States, 1999-2002 and 2011-2014.

The prevalence of diabetes mellitus has increased rapidly in the United States since the mid-1990s. By 2014, an estimated 29.1 million persons, or 9.3% of the total population, had received a diagnosis of diabetes (1). Recent evidence indicates that the prevalence of diagnosed diabetes among non-Hispanic black (black), Hispanic, and poorly educated adults continues to increase but has leveled off among non-Hispanic whites (whites) and persons with higher education (2). During 2004-2010, CDC reported marked racial/ethnic and socioeconomic position disparities in diabetes prevalence and increases in the magnitude of these disparities over time (3). However, the magnitude and extent of temporal change in socioeconomic position disparities in diagnosed diabetes among racial/ethnic populations are unknown. CDC used data from the National Health Interview Survey (NHIS) for the periods 1999-2002 and 2011-2014 to assess the magnitude of and change in socioeconomic position disparities in the age-standardized prevalence of diagnosed diabetes in the overall population and among blacks, whites, and Hispanics. During each period, significant socioeconomic position disparities existed in the overall population and among the assessed racial/ethnic populations. Disparities in prevalence increased with increasing socioeconomic disadvantage and widened over time among Hispanics and whites but not among blacks. The persistent widening of the socioeconomic position gap in prevalence suggests that interventions to reduce the risk for diabetes might have a different impact according to socioeconomic position.

Association of Socioeconomic Position With Sensory Impairment Among US Working-Aged Adults.

OBJECTIVES: We examined the relationship between socioeconomic position (SEP) and sensory impairment. METHODS: We used data from the 2007 to 2010 National Health Interview Surveys (n = 69 845 adults). Multivariable logistic regressions estimated odds ratios (ORs) for associations of educational attainment, occupational class, and poverty-income ratio with impaired vision or hearing. RESULTS: Nearly 20% of respondents reported sensory impairment. Each SEP indicator was negatively associated with sensory impairment. Adjusted odds of vision impairment were significantly higher for farm workers (OR = 1.41; 95% confidence interval [CI] = 1.01, 2.02), people with some college (OR = 1.29; 95% CI = 1.16, 1.44) or less than a high school diploma (OR = 1.36; 95% CI = 1.19, 1.55), and people from poor (OR = 1.35; 95% CI = 1.20, 1.52), low-income (OR = 1.28; 95% CI = 1.14, 1.43), or middle-income (OR = 1.19; 95% CI = 1.07, 1.31) families than for the highest-SEP group. Odds of hearing impairment were significantly higher for people with some college or less education than for those with a college degree or more; for service groups, farmers, and blue-collar workers than for white-collar workers; and for people in poor families. CONCLUSIONS: More research is needed to understand the SEP-sensory impairment association.

Prevalence of nonrefractive visual impairment in US adults and associated risk factors, 1999-2002 and 2005-2008.

CONTEXT: Over the past decade, chronic illnesses with ophthalmic sequelae such as diabetes and diabetic retinopathy have increased. OBJECTIVES: To estimate prevalence of nonrefractive visual impairment and to describe its relationship with demographic and systemic risk factors including diagnosed diabetes. DESIGN, SETTING, AND PARTICIPANTS: The National Health and Nutrition Examination Survey (NHANES) examined a representative sample of the US noninstitutionalized population. In 1999-2002 and 2005-2008, 9471 and 10,480 participants aged 20 years or older received questionnaires, laboratory tests, and physical examinations. Visual acuity of less than 20/40 aided by autorefractor was classified as nonrefractive visual impairment. MAIN OUTCOME MEASURE: Nonrefractive visual impairment. RESULTS: Weighted prevalence of nonrefractive visual impairment increased 21% among US adults aged 20 years and older from 1.4% in 1999-2002 to 1.7% in 2005-2008 (P = .03); and increased 40% among non-Hispanic whites aged 20-39 years from 0.5% to 0.7% (P = .008). In multivariable analyses, statistically significant risk factors for nonrefractive visual impairment in 1999-2002 included age (per year odds ratio [OR], 1.07; 95% CI, 1.05-1.09), poverty (OR, 2.18; 95% CI, 1.31-3.64), lack of insurance (OR, 1.85; 95% CI, 1.16-2.95), and diabetes with 10 or more years since diagnosis (OR, 1.93; 95% CI, 1.15-3.25). In 2005-2008, risk factors included age (OR, 1.05; 95% CI, 1.04-1.07), poverty (OR, 2.23; 95% CI, 1.55-3.22), education less than high school (OR, 2.11; 95% CI, 1.54-2.90), and diabetes with 10 or more years since diagnosis (OR, 2.67; 95% CI, 1.64-4.37). Prevalence of diabetes with 10 or more years since diagnosis increased 22% overall from 2.8% to 3.6% (P = .02); and 133% among non-Hispanic whites aged 20-39 years from 0.3% to 0.7% (P < .001). CONCLUSION: Prevalence of nonrefractive visual impairment was significantly higher in 2005-2008 than in 1999-2002 and may be attributable, in part, to higher prevalence of diabetes, an associated risk factor that increased in prevalence during this time period.

Prevalence of diabetic retinopathy in the United States, 2005-2008.

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.

The Impact of Title VII Dental Workforce Programs on Dentists' Practice Location: A Difference-in-Differences Analysis.

PURPOSE: To examine the potential impact of Health Resources and Services Administration (HRSA) funding (predoctoral [PD] and postdoctoral [PDD] programs) on dentists' practice location in the United States. METHOD: The authors linked 2011-2015 data from HRSA's Electronic Handbooks to 2015 data from the American Dental Association Masterfile, dental health professional shortage areas, and rural-urban commuting area codes. They examined the associations between PD and PDD funding and dentists' practice location between 2004 and 2015 using a difference-in-differences analysis and multiple logistic regressions, adjusting for covariates. RESULTS: From 2004 to 2015, 21.2% (1,588/7,506) of dentists graduated from institutions receiving PD funding and 26.8% (2,014/7,506) graduated from institutions receiving PDD funding. Among dentists graduating from institutions receiving PDD funding, after adjusting for covariates, those graduating between 2011 and 2015 were more likely to practice in a rural area than those graduating between 2004 and 2010 (odds ratio [OR] = 1.98; 95% confidence interval [CI] = 1.04-3.76). The difference-in-differences approach showed that PD and PDD funding significantly increased the odds that a dentist would practice in a rural area (respectively, OR = 2.70; 95% CI = 1.31-5.79/OR = 2.84; 95% CI = 1.40-5.77). CONCLUSIONS: HRSA oral health training program funding had a positive effect on dentists choosing to practice in a rural area. By increasing the number of dentists practicing in rural communities, HRSA is improving access to, and the delivery of, oral health care services to underserved and vulnerable rural populations.

Self-Reported Oral Health Status Among Adults Aged 40+ Years With and Without Vision Impairment: National Health Interview Study, 2008.

PURPOSE: To examine self-reported oral health among adults aged 40 years and older with and without vision impairment. DESIGN: Cross-sectional, with a nationally representative sample. METHODS: We used publicly available data from the Oral Health Module, last administered in 2008, of the National Health Interview Survey. Outcome variables included fair/poor oral health status, mouth condition compared to others the same age, mouth problems (mouth sores, difficulty eating, dry mouth, bad breath, and/or jaw pain), teeth problems (toothache; broken/missing fillings or teeth; loose, crooked, or stained teeth; and/or bleeding gums), and lack of social participation. Using descriptive statistics and multivariate logistic regression, we examined the association (P < .05) between vision impairment and oral health outcomes by age group, sociodemographics, and other explanatory variables. RESULTS: Our study sample included 12,090 adults; 12.8% of adults aged 40-64 years reported vision impairment, and among them, 44.5% reported fair/poor oral health status and 47.2% reported any mouth problems. Among adults aged ≥65 years, 17.3% reported vision impairment, of whom 36.3% reported fair/poor oral health status and 57.3% reported any mouth problems. There is a strong association between vision impairment and poorer oral health of adults; adults aged 40-64 years with vision impairment reported 90%-150% greater odds of oral health problems, including fair/poor oral health status, mouth problems, and teeth problems, compared to people without vision impairment. CONCLUSIONS: Oral health disparities exist between adults with and without vision impairment. Targeted interventions are required to improve oral health in this vulnerable population.

Outcomes from the Health Resources and Services Administration's Dental Faculty Development Program.

PURPOSE/OBJECTIVES: While the Commission on Dental Accreditation (CODA) requires programs to conduct faculty development, implementation of faculty development activities vary widely. Faculty development programs can enhance teaching, research, and leadership skills needed to transition from clinical practice to teaching. In 2012, the Health Resources and Services Administration (HRSA) funded 6 institutions to plan, develop, and operate programs for training oral healthcare providers who plan to teach in general, pediatric, public health dentistry, or dental hygiene. This performance study examines the results of the dental faculty development programs. METHODS: After the 5-year grant program (2012-2017), we used descriptive analysis to examine annual performance data including trainee demographics, faculty development activities, post-completion intentions, and course development activities. RESULTS: Nearly 300 trainees participated across 6 funded grantees; the majority were female, aged 30-49 years, and non-Hispanic White. For those who completed, 80% intended to teach. Common faculty development activities included community-based training, curriculum enhancements, Web-based training, and interprofessional education methods. Faculty development modalities included faculty seminars, Master's degrees, and mentoring. Pipeline activities, online resources, and continuing education supported dental students and providers moving into academics. CONCLUSIONS: Faculty development better prepares individuals to compete in academic environments and develop faculty. Community-based programs may utilize faculty development to recruit community preceptors and achieve calibration. HRSA investment in faculty development programs builds resources and infrastructure to promote continuing engagement in clinical education, research, and administrative skills. Future research is needed to establish the impact of faculty development initiatives on practice change and patient outcomes.

Health care coverage and the health care industry.

OBJECTIVES: We examined rates of uninsurance among workers in the US health care workforce by health care industry subtype and workforce category. METHODS: We used 2004 to 2006 National Health Interview Survey data to assess health insurance coverage rates. Multivariate logistic regression analyses were conducted to estimate the odds of uninsurance among health care workers by industry subtype. RESULTS: Overall, 11% of the US health care workforce is uninsured. Ambulatory care workers were 3.1 times as likely as hospital workers (95% confidence interval [CI]=2.3, 4.3) to be uninsured, and residential care workers were 4.3 times as likely to be uninsured (95% CI=3.0, 6.1). Health service workers had 50% greater odds of being uninsured relative to workers in health diagnosing and treating occupations (odds ratio [OR]=1.5; 95% CI=1.0, 2.4). CONCLUSIONS: Because uninsurance leads to delays in seeking care, fewer prevention visits, and poorer health status, the fact that nearly 1 in 8 health care workers lacks insurance coverage is cause for concern.

Importing medicine: a look at citizenship and immigration status for graduating residents in New York State from 1998 to 2007.

International medical graduates (IMGs) make up roughly one quarter of the U.S. physician supply and residency training positions. Commentary related to IMGs tends to project a continuing rise in supply over time. This study wanted to challenge these perceptions by disaggregating IMGs by immigration and citizenship status to carefully examine their numerical levels and choices in training specialty and location during a 10-year period. The results demonstrate a shrinking IMG population overall for the state of New York, with noncitizen IMGs shrinking the most markedly. This may bear heavily on New York's physician supply and distribution, particularly for underserved locales. The authors find evidence consistent with some degree of substitution in favor of native-born and naturalized IMGs versus noncitizen IMGs.

Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.

PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with diabetes and with or without chronic kidney disease (CKD), and assess associated risk of mortality. DESIGN: Cross-sectional study with national survey data. METHODS: The cohort included adults ≥40 years old with diabetes in the National Health and Nutrition Examination Surveys (NHANES) 2005-2008. Vital status was determined through December 31, 2011. We defined diabetes as hemoglobin A1c ≥6.5% or self-report and CKD by urinary albumin/creatinine ≥30 mg/g or glomerular filtration rate <60 mL/min/1.73 m2. The main outcomes were DR and mortality. RESULTS: Prevalence of DR was 27.8% (95% CI 24.3-31.7), 36.2% (95%CI 30.1-42.7), and 23.4% (95% CI 19.2-28.1), overall, with and without CKD. Prevalence of vision-threatening DR was 4.2% (95% CI 3.2-5.5), 8.2% (95% CI 5.4-12.2), and 2.0% (95% CI 1.2-3.5), respectively. In a multivariable adjusted model, DR was positively but nonsignificantly associated with CKD (OR = 1.1, 95% CI 0.7-1.7), was 40% higher per 1% increase in hemoglobin A1c (OR = 1.4, 95% CI 1.1-1.6), was 30% higher per 5 years additional diabetes duration (OR = 1.3, 95% CI 1.1-1.5), was 30% higher per 10 mm Hg increase in systolic blood pressure (OR = 1.3, 95% CI 1.1-1.5), and was 6-fold higher with insulin treatment (OR = 6.2, 95% CI 2.6-14.8). Compared with diabetic participants with neither DR nor CKD, those with DR and CKD had a 3.6-fold (95% CI 1.5-9.1) increased adjusted risk for all-cause mortality. CONCLUSIONS: Over one third of persons with diabetes and CKD had DR. The risk of death was higher with than without CKD and DR. Many of the studied risk factors associated with DR are modifiable.

Impact of the Health Resources and Services Administration's state oral health workforce grant program on dental workforce density and access to oral health care.

BACKGROUND: The Health Resources and Services Administration's Grants to States to Support Oral Health Workforce Activities, otherwise known as the State Oral Health Workforce Program (SOHWP), help states develop and implement innovations that address the workforce needs of dental Health Professional Shortage Areas in a manner appropriate to the states' individual needs. AIM: This cross-sectional study explores the broad impact of the SOHWP by comparing measures of dental workforce density and access to oral health care in states with multiple years of funding versus states with few or no years of funding. METHODS: We used data for 2006-2016 SOHWP awardees together with data from the 2016-2017 Area Health Resources Files and the 2016 Behavioral Risk Factor Surveillance System to compare numbers of dentists per 100,000 population and age-adjusted prevalence of annual dental visits among adults for long-term SOHWP-funded states versus states with few or no years of funding. RESULTS: Multi-year SOHWP funding is associated with higher workforce density and greater access to oral health care, especially in the Midwest and West. CONCLUSION: Allowing states funding utilization flexibility may result in improved outcomes. This finding can help inform planning and policy about whether and how to scale future training and workforce programs to achieve greater impact.

The Prevalence of Chronic Conditions and Poor Health Among People With and Without Vision Impairment, Aged ≥65 Years, 2010-2014.

PURPOSE: To examine the prevalence of 13 chronic conditions and fair/poor health among people aged ≥65 years in the United States with and without vision impairment. DESIGN: Cross-sectional study from the 2010-2014 National Health Interview Survey. METHODS: We examined hypertension, heart disease, high cholesterol, stroke, arthritis, asthma, chronic obstructive pulmonary disease, cancer, weak/failing kidneys, diabetes, hepatitis, depression, and hearing impairment. We used logistic regression to show the association between vision impairment and chronic conditions and the association between vision impairment and poor health for those with chronic conditions. RESULTS: People aged ≥65 years with vision impairment reported greater prevalence of chronic conditions compared to people without vision impairment. After controlling for covariates (age, sex, education, race, smoking, physical activity, and obesity), people with vision impairment were more likely than those without to report chronic conditions (hypertension: OR [odds ratio] 1.43; heart disease: OR 1.68; high cholesterol: OR 1.26; stroke: OR 1.99; arthritis; OR 1.71; asthma: OR 1.56; chronic obstructive pulmonary disease: OR 1.65; cancer: OR 1.23; weak/failing kidneys: OR 2.29; diabetes: OR 1.56; hepatitis: OR 1.30; depression: OR 1.47; hearing impairment: OR 1.91) (all P < .05). Among older people with chronic conditions, those with vision impairment and chronic conditions compared to people without vision impairment and chronic conditions were 1.66-2.98 times more likely to have fair/poor health than those without vision impairment (all P < .05). CONCLUSION: Higher prevalence of chronic conditions is strongly associated with vision impairment among the older people and poor health is strongly associated with vision impairment and chronic conditions.

Early Age-related Macular Degeneration with Cardiovascular and Renal Comorbidities: An Analysis of the National Health and Nutrition Examination Survey, 2005-2008.

PURPOSE: A cross sectional study was designed to examine the relationship of early age-related macular degeneration (AMD) with comorbidities of cardiovascular and renal conditions in the representative population using National Health and Nutrition Examination Survey (NHANES), 2005-2008. METHODS: Participants (≥40 years) who underwent retinal photography were included. Early AMD was defined by the retinal digital images. The comorbidities were self-reported stroke and heart disease (HD), including angina pectoris (AP), coronary heart disease (CHD), congestive heart failure (CHF), and myocardial infarction (MI). Chronic kidney disease (CKD) was determined based on self-report, estimation of glomerular filtration rate (GFR), or the level of urine albumin. RESULTS: The age-adjusted odds ratio (OR) and 95% CI for having early AMD for persons with the selected conditions were: 2.6 (1.9, 3.6) for any type of HD. When the conditions were considered separately, ORs (95% CIs) were: 2.0 (1.2, 3.4) for AP; 2.5 (1.6, 3.8) for CHD; 2.4 (1.6, 3.6) for MI; 2.3 (1.3, 3.9) for CHF; 3.3 (2.2, 5.0) for stroke; and 2.4 (1.8, 3.2) for CKD. Covariable-adjusted ORs (AOR) were attenuated for all examined conditions, but remained statistically significant. Having any single condition (AOR [95%CI]: 2.7 [1.5, 4.8]) was significantly associated with early AMD, as was having ≥ 2 conditions (AOR [95%CI]: 5.2 [3.0, 9.0]). The strongest association was between early AMD and the combination of HD and stroke (AOR [95% CI]: 6.3 [2.9, 13.8]). CONCLUSION: Cardiovascular and renal comorbidities are associated with early AMD in a representative sample of the US general population.

Dental student enrollment and graduation: a report by state, census division, and region.

The purpose of this study is to provide descriptive data on the presence of dental schools, dental school graduates, instate enrollment, and interstate dental education agreements for U.S. states, districts, and regions. This information may be helpful in deciding to open or maintain a dental school. Data from the American Dental Association (ADA), American Dental Education Association (ADEA), and U.S. Census Bureau were used to conduct cross-sectional comparisons for states, census divisions, and regions for 2000. In 2000, there were fifty-four dental schools in thirty-two states and the District of Columbia. Total graduation across 1990-2000 was 43,289 dentists. Over half (56 percent) of the graduates were from public schools. The distribution of schools and graduates differed by geographic region. Alaska, Utah, Hawaii, and Nebraska were outliers with respect to high and low numbers of dental schools in states, in-state enrollment, and dentists to population. U.S. states, districts, and regions vary widely on the number of dental schools, dentists to population, first-year dental school enrollees, and dental school graduates. Further assessment on additional factors such as dental health provider shortage areas, state oral health status, and attractiveness of locations to dentists is needed to more fully understand the impact of these factors.

Association Between County-Level Characteristics and Eye Care Use by US Adults in 22 States After Accounting for Individual-Level Characteristics Using a Conceptual Framework.

IMPORTANCE: Individual-level characteristics are associated with eye care use. The influence of contextual factors on vision and eye health, as well as health behavior, is unknown. OBJECTIVE: To examine the association between county-level characteristics and eye care use after accounting for individual-level characteristics using a conceptual framework. DESIGN, SETTING, AND PARTICIPANTS: This investigation was a cross-sectional study of respondents 40 years and older participating in the Behavioral Risk Factor Surveillance System surveys between 2006 and 2010 from 22 states that used the Visual Impairment and Access to Eye Care module. Multilevel regressions were used to examine the association between county-level characteristics and eye care use after adjusting for individual-level characteristics (age, sex, race/ethnicity, educational attainment, annual household income, employment status, health care insurance coverage, eye care insurance coverage, personal established physician, poor vision or eye health, and diabetes status). Data analysis was performed from March 23, 2014, to June 7, 2016. MAIN OUTCOMES AND MEASURES: Eye care visit and receipt of a dilated eye examination in the past year. RESULTS: Among 117 295 respondents who resided in 828 counties, individual-level data were obtained from the Behavioral Risk Factor Surveillance System surveys. All county-level variables were aggregated at the county level from the Behavioral Risk Factor Surveillance System surveys except for a high geographic density of eye care professionals, which was obtained from the 2010 Area Health Resource File. After controlling for individual-level characteristics, the odds of reporting an eye care visit in the past year were significantly higher among people living in counties with high percentages of black individuals (adjusted odds ratio [aOR], 1.12; 95% CI, 1.01-1.24; P = .04) or low-income households (aOR, 1.12; 95% CI, 1.00-1.25; P = .045) or with a high density of eye care professionals (aOR, 1.18; 95% CI, 1.07-1.29; P < .001) than among those living in counties with the lowest tertile of each county-level characteristic. The odds of reporting receipt of a dilated eye examination in the past year were also higher among people living in counties with the highest percentages of black individuals (aOR, 1.20; 95% CI, 1.07-1.34; P = .002) or low-income households (aOR, 1.17; 95% CI, 1.04-1.32; P = .01). However, the odds of reported receipt of a dilated eye examination in the past year were lower in counties with the highest percentages of people with poor vision and eye health compared with counties with lower percentages (aOR, 0.85; 95% CI, 0.77-0.94; P = .002). CONCLUSIONS AND RELEVANCE: Contextual factors, measured at the county level, were associated with eye care use independent of individual-level characteristics. The findings suggest that, while individual characteristics influence health care use, it is also important to address contextual factors to improve eye care use and ultimately vision health.

Association of Socioeconomic Status with Eye Health Among Women With and Without Diabetes.

OBJECTIVE: To investigate the association between socioeconomic position (SEP) and poor eye health among women. MATERIALS AND METHODS: We included the 7,708 women aged ≥ 40 years who participated in the 2008 National Health Interview Survey. We defined poor eye health as self-reported age-related eye diseases (AREDs; cataract, glaucoma, macular degeneration, or diabetic retinopathy) or visual impairment (VI). We identified diagnosed diabetes by self-report. We measured SEP by education attained and annual household income. We conducted logistic regression analyses while controlling for demographic, clinical, behavioral, and healthcare access variables. RESULTS: The age-standardized prevalence of VI and ARED was significantly higher among women with diagnosed diabetes than among those without diagnosed diabetes, 29.8% versus 14.4% and 34.1% versus 20.8%, respectively (p < 0.05 for both). The prevalence of VI and ARED increased with decreasing SEP, but the trends were only significant among women without diabetes. After multivariable adjustment, education and income were significantly associated with VI but not with ARED. We found no interaction with diagnosed diabetes. CONCLUSIONS: SEP was inversely associated with VI but not with ARED. We found no interaction with diagnosed diabetes.

The Association of Health-Related Quality of Life with Severity of Visual Impairment among People Aged 40-64 Years: Findings from the 2006-2010 Behavioral Risk Factor Surveillance System.

PURPOSE: To examine the association of health-related quality of life (HRQoL) with severity of visual impairment among people aged 40-64 years. METHODS: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six measures of HRQoL: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, or moderate/severe. We examined the association between visual impairment and HRQoL using logistic regression accounting for the survey's complex design. RESULTS: Overall, 23.0% of the participants reported a little difficult seeing, while 16.8% reported moderate/severe difficulty seeing. People aged 40-64 years with moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days, as well as greater life dissatisfaction, greater disability, and poorer health compared to people reporting no or a little visual impairment. After controlling for covariates (age, sex, marital status, race/ethnicity, education, income, state, year, health insurance, heart disease, stroke, heart attack, body mass index, leisure-time activity, smoking, and medical care costs), and compared to people with no visual impairment, those with moderate/severe visual impairment were more likely to have fair/poor health (odds ratio, OR, 2.01, 95% confidence interval, CI, 1.82-2.23), life dissatisfaction (OR 2.06, 95% CI 1.80-2.35), disability (OR 1.95, 95% CI 1.80-2.13), and frequent physically unhealthy days (OR 1.69, 95% CI 1.52-1.88), mentally unhealthy days (OR 1.84, 95% CI 1.66-2.05), and activity limitation days (OR 1.94, 95% CI 1.71-2.20; all p < 0.0001). CONCLUSION: Poor HRQoL was strongly associated with moderate/severe visual impairment among people aged 40-64 years.

Health-related quality of life among people aged ≥65 years with self-reported visual impairment: findings from the 2006-2010 behavioral risk factor surveillance system.

PURPOSE: To examine the association between health-related quality of life (HRQoL) and visual impairment among people aged ≥65 years. METHODS: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six HRQoL measures: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, and moderate/severe. We examined the association between self-reported visual impairment and HRQoL using logistic regression accounting for the survey's complex design. RESULTS: People with self-reported moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days compared to those reporting a little or no visual impairment. After controlling for all covariates (age, sex, marital status, race/ethnicity, education, income, diabetes, heart disease, stroke, heart attack, body mass index, leisure time activity, smoking, and medical care cost concerns) and comparing to those with no self-reported visual impairment, people reporting a little visual impairment were more likely to have fair/poor health (odds ratio, OR, 1.2, 95% confidence interval, CI, 1.1-1.3), life dissatisfaction (OR 1.6, 95% CI 1.3-2.0), and disability (OR 1.5, 95% CI 1.3-1.6), and those with self-reported moderate/severe visual impairment had more fair/poor health (OR 1.8, 95% CI 1.6-2.0), life dissatisfaction (OR 2.3, 95% CI 1.8-2.9), and disability (OR 2.0, 95% CI 1.8-2.2). They also had more frequent physically unhealthy days (OR 1.9, 95% CI 1.7-2.1), mentally unhealthy days (OR 1.8, 95% CI 1.5-2.1), and activity limitations days (OR 1.9, 95% CI 1.6-2.2). CONCLUSION: Poor HRQoL is strongly associated with the severity of self-reported visual impairment among people aged ≥65 years.

Barriers to eye care among people aged 40 years and older with diagnosed diabetes, 2006-2010.

OBJECTIVE We examine barriers to receiving recommended eye care among people aged ≥40 years with diagnosed diabetes. RESEARCH DESIGN AND METHODS We analyzed 2006-2010 Behavioral Risk Factor Surveillance System data from 22 states (n = 27,699). Respondents who had not sought eye care in the preceding 12 months were asked the main reason why. We categorized the reasons as cost/lack of insurance, no need, no eye doctor/travel/appointment, and other (meaning everything else). We used multinomial logistic regression to control for race/ethnicity, education, income, and other selected covariates. RESULTS Among adults with diagnosed diabetes, nonadherence to the recommended annual eye examinations was 23.5%. The most commonly reported reasons for not receiving eye care in the preceding 12 months were "no need" and "cost or lack of insurance" (39.7 and 32.3%, respectively). Other reasons were "no eye doctor," "no transportation" or "could not get appointment" (6.4%), and "other" (21.5%). After controlling for covariates, adults aged 40-64 years were more likely than those aged ≥65 years (relative risk ratio [RRR] = 2.79; 95% CI 2.01-3.89) and women were more likely than men (RRR = 2.33; 95% CI 1.75-3.14) to report "cost or lack of insurance" as their main reason. However, people aged 40-64 years were less likely than those aged ≥65 years to report "no need" (RRR = 0.51; 95% CI 0.39-0.67) as their main reason. CONCLUSIONS Addressing concerns about "cost or lack of insurance" for adults under 65 years and "no perceived need" among those 65 years and older could help improve eye care service utilization among people with diabetes.

Dilated eye examination screening guideline compliance among patients with diabetes without a diabetic retinopathy diagnosis: the role of geographic access.

OBJECTIVE: To estimate the prevalence of, and factors associated with, dilated eye examination guideline compliance among patients with diabetes mellitus (DM), but without diabetic retinopathy. RESEARCH DESIGN AND METHODS: Utilizing the computerized billing records database, we identified patients with International Classification of Diseases (ICD)-9 diagnoses of DM, but without any ocular diagnoses. The available medical records of patients in 2007-2008 were reviewed for demographic and ocular information, including visits through 2010 (n=200). Patients were considered guideline compliant if they returned at least every 15 months for screening. Participant street addresses were assigned latitude and longitude coordinates to assess their neighborhood socioeconomic status (using the 2000 US census data), distance to the screening facility, and public transportation access. Patients not compliant, based on the medical record review, were contacted by phone or mail and asked to complete a follow-up survey to determine if screening took place at other locations. RESULTS: The overall screening compliance rate was 31%. Patient sociodemographic characteristics, insurance status, and neighborhood socioeconomic measures were not significantly associated with compliance. However, in separate multivariable logistic regression models, those living eight or more miles from the screening facility were significantly less likely to be compliant relative to those living within eight miles (OR=0.36 (95% CI 0.14 to 0.86)), while public transit access quality was positively associated with screening compliance (1.34 (1.07 to 1.68)). CONCLUSIONS: Less than one-third of patients returned for diabetic retinopathy screening at least every 15 months, with transportation challenges associated with noncompliance. Our results suggest that reducing transportation barriers or utilizing community-based screening strategies may improve compliance.