Cristina A. Fernandez

Dry eye syndrome, posttraumatic stress disorder, and depression in an older male veteran population.

PURPOSE To evaluate whether veterans with posttraumatic stress disorder (PTSD) or depression have differences in dry eye symptoms and signs compared to a population without these conditions. METHODS Male patients aged ≥50 years with normal eyelid, conjunctival, and corneal anatomy were recruited from the Miami Veterans Affairs Eye Clinic (N = 248). We compared dry eye symptoms (determined by the Dry Eye Questionnaire 5 [DEQ5] score) to tear film indicators obtained by clinical examination (i.e., tear osmolarity, corneal staining, tear breakup time, Schirmers, meibomian gland quality, orifice plugging, lid vascularity) between patients with PTSD or depression and those without these conditions. Students t-tests, χ(2) analyses, and linear and logistic regressions were used to assess differences between the groups. RESULTS DEQ5 scores were higher in the PTSD (mean = 13.4; standard error [SE] = 1.1; n = 22) and depression (mean = 12.0; SE = 0.8; n = 40) groups compared to the group without these conditions (mean = 9.8; SE = 0.4; n = 186; P < 0.01 and P = 0.02, respectively). More patients in the PTSD and depression groups had severe dry eye symptoms, defined as a DEQ5 score ≥ 12 (77% and 63% vs. 41%; P < 0.01 and P = 0.02, respectively). No significant differences in tear film indicators were found among the three groups. Multivariable logistic regression indicated that a PTSD diagnosis (odds ratio [OR] = 4.08; 95% confidence interval [CI] = 1.10-15.14) and use of selective serotonin reuptake inhibitors (OR = 2.66; 95% CI = 1.01-7.00) were significantly associated with severe symptoms. CONCLUSIONS Patients with PTSD have ocular surface symptoms that are not solely explained by tear indicators. Identifying underlying conditions associated with ocular discomfort is essential to better understand the mechanisms behind ocular pain in dry eye syndrome.

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.

Visual Acuity and Increased Mortality: The Role of Allostatic Load and Functional Status

PURPOSE Poor vision may detrimentally impact functional status and affect allostatic load (AL), a measure of cumulative physiological wear and tear on the bodys regulatory systems. We examined the direct effects of visual acuity (VA) on mortality and its indirect effect on mortality through its impact on functional status and AL in older adults. METHODS Data from 4981 participants (age ≥ 60 years) from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) with mortality linkage through 2006 were analyzed. Functional status was assessed by activities of daily living (ADL) and instrumental activities of daily living (IADL). The AL index was composed of 10 biomarkers: systolic and diastolic blood pressures, body mass index (BMI), glycosylated hemoglobin, total cholesterol, triglycerides, albumin, C-reactive protein, homocysteine, and creatinine clearance. Visual acuity was categorized as no (20/20-20/25), mild (20/30-20/40), moderate (20/50-20/80), or severe (≥20/200) visual impairment. Structural equation modeling using three mediating variables representing ADL, IADL, and AL examined the effects of VA on all-cause and cardiovascular disease (CVD)-related mortality. RESULTS Adjusting for all covariates, a one-unit change in VA category increased mortality risk (hazard ratio [HR] = 1.17; 95% confidence interval [CI] 1.05, 1.32); IADL and AL predicted mortality (HR = 1.15; CI 1.10, 1.20 and HR = 1.13; CI 1.06, 1.20, respectively). Activities of daily living did not predict mortality (HR = 0.98; CI 0.91, 1.05). Worse VA was associated with increased AL (β = 0.11; P = 0.013) and worse IADL (β = 1.06; P < 0.001). Worse VA increased mortality risk indirectly through AL (HR = 1.01; CI 1.00, 1.03) and IADL (HR = 1.16; CI 1.09, 1.23). The total effect of VA on mortality including through IADL and AL was HR = 1.38 (CI 1.23, 1.54). Similar but slightly stronger patterns of association were found when examining CVD-related mortality, but not cancer-related mortality. CONCLUSIONS Allostatic load and particularly IADL may function as mediators between VA impairment and mortality. Older adults with VA impairment could potentially benefit from interventions designed to prevent IADL functional status decline to reduce the risk of mortality.

Health status and risk indicator trends of the aging US health care workforce.

Objectives: To describe the health status and risk indicator trends in a representative sample of US health care workers aged 45 years and older. Methods: Using pooled data from the 1997 to 2009 National Health Interview Survey, logistic regression analyses were performed to determine whether age-group specific morbidity risks differed within occupational subgroups of the health care workforce (N = 6509). Health and morbidity trends were examined via complex survey adjusted and weighted chi-squared tests. Results: Rates of functional limitation and hypertension increased among diagnosing/assessing health care workers. The prevalence of hearing impairment, cancer, and hypertension was two to three times greater in health-diagnosing/assessing workers aged 60 years and older than in younger workers. Health care service workers were up to 19 times more likely to be obese than workers who diagnose/assess health. Conclusions: Healthier workplaces and targeted interventions are needed to optimize the ability to meet health care demands of this aging workforce.

Occupational vs. Industry Sector Classification of the US Workforce: Which approach is more strongly associated with worker health outcomes?

OBJECTIVES Through use of a nationally representative database, we examined the variability in both self-rated health and overall mortality risk within occupations across the National Occupational Research Agenda (NORA) Industry Sectors, as well as between the occupations within the NORA Industry sectors. METHODS Using multiple waves of the National Health Interview Survey (NHIS) representing an estimated 119,343,749 US workers per year from 1986 to 2004, age-adjusted self-rated health and overall mortality rates were examined by occupation and by NORA Industry Sector. RESULTS There was considerable variability in the prevalence rate of age-adjusted self-rated poor/fair health and overall mortality rates for all US workers. The variability was greatest when examining these data by the Industry Sectors. In addition, we identified an overall pattern of increased poor/fair self-reported health and increased mortality rates concentrated among particular occupations and particular Industry Sectors. CONCLUSIONS This study suggests that using occupational categories within and across Industry Sectors would improve the characterization of the health status and health disparities of many subpopulations of workers within these Industry Sectors.

Racial Disparities in Quality-Adjusted Life-Years Associated With Diabetes and Visual Impairment

OBJECTIVE Compare differences in health-related quality of life among blacks and whites to examine if race, diabetes, and visual impairment (VI) present a triple disadvantage in terms of quality-adjusted life expectancy. RESEARCH DESIGN AND METHODS Data were analyzed from the 2000–2003 Medical Expenditure Panel Survey, a nationally representative survey that contains the EuroQol 5D (EQ-5D). The EQ-5D generates health utility values that provide a measure of the morbidity associated with various health states, such as having moderate or severe problems with mobility. The EQ-5D score can be linked with life expectancy data to calculate quality-adjusted life-years (QALYs), the number of years of optimal health an individual is expected to live. Multivariate analyses were conducted to estimate and compare differences in QALYs by diabetes status, VI status, and race. RESULTS Whites had a higher quality-adjusted life expectancy across all diabetes/VI comparisons. Overall, blacks with diabetes and VI had the fewest number of QALYs remaining (19.6 years), and whites with no impairment had the greatest number of QALYs remaining (31.6 years). Blacks with diabetes only had 1.7 fewer years of optimal health (fewer QALYs) than whites with diabetes. Within individuals with both diabetes and VI, however, this gap more than doubled, with blacks experiencing 3.5 fewer QALYs than whites. CONCLUSIONS Although efforts to target and reduce racial health disparities associated with diabetes appear to be effective, black communities may be contributing to a greater overall burden of illness given poorer infrastructure and less accommodation for disabilities such as VI.

Influence of socio-demographic characteristics on eye care expenditure: Data from the medical expenditure panel survey 2007

ABSTRACT Objective: To evaluate the association between sociodemographic factors and eye care expenditure and to assess the burden of ocular expenditure compared to total health care expenditure. Methods: A retrospective analysis of ocular expenditure in participants of the 2007 Medical Expenditure Panel Survey. Data from 20,620 unique participants aged ≥18 years were evaluated for eye care expenditure by demographic characteristics. Results: A total of 22% of the studied population had eye care expenditures in 2007. Demographic factors significantly associated with higher probability of having eye care expenditures included older age (65+ years 35%, 45–64 years 23%, <45 years 17%), female sex (female 26%, male 19%), higher educational attainment (greater than high school education 25%, less than high school education 17%), having insurance (private 24%, uninsured 13%), and visual impairment (mild 31%, none 22%). Older age, female sex, higher educational attainment, having insurance, and presence of visual impairment were also significantly associated with higher mean eye care expenditure. In those with eye care expenditure, the mean ratio between eye care and total medical expenditure was 24%, with uninsured patients spending 42% of their medical care expenditure on eye care. Conclusions: Demographic factors are associated with both the probability of having ocular expenditure and the amount of expenditure. Of all factors examined, insurance status has the most potential for modification. Policy makers should consider these numbers when devising the terms by which eye care coverage will be provided under the Patient Protection and Affordable Care Act.

Combining Community-Based Participatory Research (CBPR) with a Random-Sample Survey to Assess Smoking Prevalence in an Under-Served Community

ACKNOWLEDGMENTS The authors would like to thank Laura McClure for her help with the manuscript submission, the Liberty City Community Health Advisory Board for its collaboration on this study, as well as the survey interviewers, and the survey participants. INTRODUCTION Underserved communities might lag behind Healthy People 2010 objectives of smoking reduction because of smoking behavior disparities. This possibility was investigated through a random-sample survey conducted in a disenfranchised community in Miami-Dade County, Florida, using a Community-Based Participatory Research (CBPR) framework. The survey was triggered by our finding that this community had higher than expected incidence of tobacco-associated cancers. METHODS Survey methods, resulting from a dialog between the Community Advisory Board and academic researchers, included: (a) surveying adult residents of a public housing complex located within the community; (b) probability sampling; (c) face-to-face interviews administered by trained community residents. 250 households were sampled from 750 addresses provided by the county Public Housing Agency. The completed surveys were reviewed by the academic team, yielding 204 questionnaires for the current analysis. RESULTS Of the 204 respondents, 38% were current smokers. They estimated the percentages of smokers in their household and among their five best friends at 33% and 42%, respectively, and among adults and youth in the community at 72% and 53%, respectively. CONCLUSIONS A mix of state-of-art methodology with CBPR principles is seldom encountered in the current literature. It allowed the research team to find a high smoking prevalence in an underserved community, twice the statewide and nationwide estimates. Similar or higher levels of smoking were perceived in respondents entourage. Such disparity in smoking behavior, unlikely to result from self-selection bias because of our rigorous methodology, calls for community-specific tobacco control efforts commensurate to the magnitude of the problem.

Sociodemographic Correlates of Eye Care Provider Visits in the 2006–2009 Behavioral Risk Factor Surveillance Survey

BackgroundResearch has suggested that adults 40 years old and over are not following eye care visit recommendations. In the United States, the proportion of older adults is expected to increase drastically in the coming years. This has important implications for population ocular disease burden, given the relationship between older age and the development of many ocular diseases and conditions. Understanding individual level determinants of vision health could support the development of tailored vision health campaigns and interventions among our growing older population. Thus, we assessed correlates of eye care visits among participants of the Behavior Risk Factor Surveillance System (BRFSS) survey. We pooled and analyzed 2006–2009 BRFSS data from 16 States (N = 118,075). We assessed for the proportion of survey respondents 40 years of age and older reporting having visited an eye care provider within the past two years, two or more years ago, or never by socio-demographic characteristics.ResultsNearly 80% of respondents reported an eye care visit within the previous two years. Using the ‘never visits’ as the referent category, the groups with greater odds of having an ocular visit within the past two years included those: greater than 70 years of age (OR = 6.8 [95% confidence interval = 3.7–12.6]), with college degree (5.2[3.0–8.8]), reporting an eye disease, (4.74[1.1–21.2]), diagnosed with diabetes (3.5[1.7–7.5]), of female gender (2.9[2.1–3.9]), with general health insurance (2.7[1.8–3.9]), with eye provider insurance coverage (2.1[1.5–3.0]), with high blood pressure (1.5[1.1–2.2]), and with moderate to extreme near vision difficulties (1.42[1.11–2.08]).ConclusionWe found significant variation by socio-demographic characteristics and some variation in state-level estimates in this study. The present findings suggest that there remains compliance gaps of screening guidelines among select socio-demographic sub-groups, as well as provide evidence and support to the CDC’s Vision Health Initiative. This data further suggests that there remains a need for ocular educational campaigns in select socio-demographic subgroups and possibly policy changes to enhance insurance coverage.

Risky drinking in the older population: A comparison of Florida to the rest of the US

INTRODUCTION While alcohol use has traditionally been thought to decrease with age, several recent studies have shown an increase in heavy drinking among retirees. Floridas unique population distribution that includes a higher proportion of elderly residents warrants an in-depth look at the drinking patterns in the elderly and how they may differ from those in other areas of the country. However, state-level comparisons of excessive alcohol consumption are limited. METHODS We compared risky drinking (defined as ten or more drinks/week in men and seven or more drinks/week in women; or five or more drinks at one sitting, one or more times/year for both men and women) in Florida to the rest of the US. We used pooled data from the 1997-2010 National Health Interview Survey (NHIS). RESULTS The prevalence of risky drinking for those aged ≥65 in Florida and the rest of the US was 24.1%, and 21.8%, respectively, compared to 31.9% and 37.4% for all ages in Florida and the rest of the US, respectively. In multivariable analyses of those aged ≥65 years, risky drinking was significantly associated with male gender, younger age, non-Hispanic White race/ethnicity, more than a high school education, unemployment (including retirement), lower BMI, and current or former smoking. Floridians aged ≥65 were significantly more likely to report risky drinking than their counterparts in the rest of the US (Odds ratio=1.13; 95% CI: 1.04-1.21), in contrast to analyses of all ages where Floridians were less likely to report risky drinking compared to the rest of the US (0.77; 0.67-0.86). DISCUSSION Excessive alcohol consumption is an important modifiable risk factor for cancer, cardiovascular disease, and liver disease; a reduction among the elderly has great potential to reduce disease burden. Although Floridians overall were less likely to be risky drinkers than the rest of the US, almost a third of the Florida population reported this behavior. It is, therefore, an important public health concern, particularly in Floridas older population who are more likely to engage in this behavior than their counterparts in the rest of the US.