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Clinical Sciences |

Association Between Depression and Functional Vision Loss in Persons 20 Years of Age or Older in the United States, NHANES 2005-2008 FREE

Xinzhi Zhang, MD, PhD; Kai McKeever Bullard, MPH, PhD; Mary Frances Cotch, PhD; M. Roy Wilson, MD, MS; Barry W. Rovner, MD; Gerald McGwin, MS, PhD; Cynthia Owsley, PhD, MSPH; Lawrence Barker, PhD; John E. Crews, DPA; Jinan B. Saaddine, PhD
[+] Author Affiliations

Author Affiliations: Division of Data Management and Scientific Reporting (Dr Zhang), National Institute on Minority Health and Health Disparities (Dr Wilson) and National Eye Institute (Dr Cotch), National Institutes of Health, Bethesda, Maryland; National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia (Drs Bullard, Barker, Crews, and Saaddine); Departments of Psychiatry and Neurology, Jefferson Medical College, Philadelphia, Pennsylvania (Dr Rovner); and Department of Ophthalmology, University of Alabama at Birmingham (Drs McGwin and Owsley).


JAMA Ophthalmol. 2013;131(5):573-581. doi:10.1001/jamaophthalmol.2013.2597.
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Importance This 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.

Objectives To 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.

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

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

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

Main Outcome Measures Depression, 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.

Results In 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.

Figures in this Article

Vision loss and depression have been reported in older adult cohorts around the world.18 A meta-analysis9 has shown that vision loss is among the most common chronic conditions associated with depression in old age. However, for younger adults, the relationship between vision loss and depression has not been well studied. Furthermore, in the United States, the national-level associations of visual function and visual acuity with depression remain unknown. Many conditions resulting in vision loss can be delayed or prevented,10,11 and depression is a treatable condition12,13 that can be identified by screening.14 Estimates of the prevalence of depression among people with and without vision loss, on a national level, could inform the need for medical care and referral services. Alleviating the joint burden of depression and vision loss would improve the quality of life for those affected.

Herein, we examine the prevalence of depression among community-dwelling adults in the United States 20 years of age or older with normal vision and those with vision loss, and we describe the associations between depression and vision loss as measured by reported loss of visual function and by measured visual acuity.

STUDY POPULATION

The National Health and Nutrition Examination Survey (NHANES) is a nationally representative survey conducted by the Centers for Disease Control and Prevention (CDC).15 In NHANES 2005-2008, a total of 10 480 persons 20 years of age or older were interviewed to collect sociodemographic, medical, and family information, and subsequently they underwent a detailed medical examination at the Medical Examination Center. The response rates were 74% for those participating in the home interview and 71% for those reporting to the Medical Examination Center.16 The NHANES protocol was approved by a human subjects review board at the CDC. Informed consent was obtained from all participants.

VISUAL FUNCTION

In their home, participants were asked about eyesight and activity limitations due to their vision. The questions used were selected from the National Eye Institute 25-item Visual Functioning Questionnaire, for which reliability and validity have been reported previously.17 Limitations in activities of daily living due to vision were assessed in 6 survey questions asking about the degree of difficulty (none, a little, moderate, extreme, or unable to do) in the following: reading ordinary newsprint; doing work or hobbies that require seeing well up close; going down steps, stairs, or curbs in dim light or at night; noticing objects off to the side while walking; finding objects on a crowded shelf; and daytime driving in familiar places. Responses to these individual items were dichotomized (presence or absence), and 2 derived measures were coded to represent overall visual function loss based on cumulative responses to the following items: number of visual function problems (ranging from 0 to 6) and the presence of any visual function loss.

VISUAL ACUITY

The physical examination in the Medical Examination Center included a vision examination. With the use of a Nidek ARK-760 autorefractor containing built-in visual acuity charts, presenting distance visual acuity was measured in each eye with whichever form of correction (eg, glasses or contact lenses), if any, that the participant was wearing at the time of the examination. For eyes with presenting acuity of 20/30 or worse, distance visual acuity was reassessed after an objective autorefraction. Persons who were completely blind (ie, unable to see in both eyes) or who had a severe infection in at least 1 eye were excluded from the vision examination (n = 17).

Presenting visual acuity impairment was defined as a presenting visual acuity of worse than 20/40 in the better-seeing eye. Uncorrectable visual acuity impairment was defined as a visual acuity of worse than 20/40 in the better-seeing eye after the autorefractor provided optical correction. Correctable visual acuity impairment (ie, impairment due to refractive error) was defined as a presenting visual acuity of worse than 20/40 in the better-seeing eye that improved to 20/40 or greater after objective autorefraction.

DEPRESSION MEASURE

The 9-item Patient Health Questionnaire (PHQ-9) depression scale was used to measure depression. The PHQ, which is widely used in both clinical and research settings, is a self-administered version of the Primary Care Evaluation of Mental Disorders.18 The validity and reliability of the PHQ and its 9-item depression module to establish depressive diagnosis and grade severity have been widely documented.1922 The PHQ-9 has also been used to assess depression among those with visual impairment in other studies.3,6,23 A PHQ-9 score of 10 or greater is recommended as a cut point for screening purposes, yields 88% sensitivity and 88% specificity for identifying major depression,18 and was used in our study to identify cases of depression.

OTHER MEASUREMENTS

We considered factors that have been reported in the literature as being associated with both vision loss and depression as possible covariates.4 All participants were asked about age (20-39, 40-64, or ≥65 years), sex, race/ethnicity (non-Hispanic white, non-Hispanic black, Mexican American, or those who selected multiple races or other racial/ethnic groups), educational attainment (less than a high school diploma, high school graduate, or education beyond high school), household income (poverty income ratio [PIR] < 1, 1 ≤ PIR <3, or PIR ≥ 3), marital status (yes or no), living alone (yes or no), employed (yes or no), health insurance status (yes or no), smoking status (current, former, or never), binge drinking (defined as having ever consumed ≥5 drinks of any kind of alcoholic beverage almost every day; yes or no), and history of cardiovascular diseases (yes or no). A history of cardiovascular diseases was ascertained by self-report of coronary heart disease, angina, myocardial infarction, stroke, or congestive heart failure. A prior self-reported history of cancer was included. Diabetes was defined as a self-report of a previous diagnosis of the disease by a health care provider (excluding gestational diabetes mellitus) or a hemoglobin A1c level of 6.5% or greater (which is the American Diabetes Association's diagnostic criterion for diabetes [to convert to proportion of total hemoglobin, multiply by 0.01]).24 Hypertension was defined as antihypertensive medication use or a reported blood pressure of 140/90 mm Hg or higher. The participants were also asked how much of the time they worried about their eyesight (none, a little, some, most, or all of the time). Height and weight were measured in the Medical Examination Center, and body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. We divided respondents into 3 BMI groups: normal weight or underweight (BMI < 25), overweight (BMI = 25 to <30), and obese (BMI ≥ 30).

STATISTICAL METHODS

Statistical analyses were conducted using SAS, version 9.2 (SAS Institute Inc), and SUDAAN, version 10.1 (Research Triangle Institute), to calculate national estimates and their standard errors,accounting for the survey's complex sampling design. Taylor series linearization was used for variance estimation.25 Missing values were imputed to avoid bias associated with listwise deletion of participants with missing values from the analysis. We used multiple imputation by chained equations, a technique using regression based on all variables in the model, to attribute missing data.26,27 Five imputations per missing observation were performed and analyzed. Characteristics of the study population are described using mean values for continuous variables and percentages for categorical variables. The t test was used for continuous variables, and the χ2 test was used for categorical variables. We estimated the crude prevalence of depression (PHQ-9 score of ≥10) by sociodemographic characteristics in the adult US population. In addition, we provided specific estimates of depressive symptoms by severity using 3 categories: mild (PHQ-9 score of 5-9), moderate (PHQ-9 score of 10-14), and moderate severe to severe (PHQ-9 score of 15-27). Logistic regression was used to assess the associations between visual function loss and depression and between visual acuity impairment and depression after adjusting for other covariates. Odds ratios (ORs) and associated 95% CIs were calculated. Associations were considered to be statistically significant if the P value was less than .05.

The NHANES sample for this analysis included 10 480 participants whose mean age was 47 years (Table 1). Fifty-two percent of participants were female, 71% were non-Hispanic whites, 11% were non-Hispanic blacks, and 8% were Mexican Americans. Overall, 23% were current smokers, 15% were binge drinkers, and many had chronic health conditions such as hypertension (33%), diabetes (11%), cardiovascular disease (7%), and cancer (9%).

Table Graphic Jump LocationTable 1. Selected Characteristics of 10 480 US Adults 20 Years of Age or Older, NHANES 2005-2008

The estimated (weighted) crude prevalence of depression (PHQ-9 score of ≥10) in the 2005-2008 sample was 11.3% (95% CI, 9.7%-13.2%) among those with visual function loss and 4.8% (95% CI, 4.0%-5.7%) among those without (Table 2). Quiz Ref IDAcross age groups, adults with visual function loss were more likely to report depression than their counterparts (13.0% vs 4.7% for those 20-39 years of age, 11.5% vs 6.0% for those 40-59 years, and 9.6% vs 3.0% for those ≥60 years) (eTable). In addition, 20.1% (95% CI, 18.5%-21.8%) of adults with visual function loss had some mild depressive symptoms (PHQ-9 score of 5-9) compared with 12.1% (95% CI, 11.0%-13.2%) of those without impaired visual function.

Table Graphic Jump LocationTable 2. Crude Prevalence of Depression by Visual Function Status and Depression Severity in US Adults 20 Years of Age or Older, NHANES 2005-2008a

The findings for overall depression and depression severity by each specific visual function activity all showed a similar pattern (Table 2). Among persons with difficulty reading ordinary newsprint, approximately 13.4% (95% CI, 11.0%-16.2%) had depression compared with 5.3% (95% CI, 4.5%-6.3%) of those without difficulty reading. Approximately 12.9% (95% CI, 10.6%-15.7%) of those with difficulty seeing up close when doing work or hobbies had depression, whereas 5.6% (95% CI, 4.8%-6.5%) of those without difficulty seeing up close had depression. The prevalence of depression was also higher among those with difficulty seeing steps, noticing objects off to the side, those with difficulty finding objects on a crowded shelf, and those with difficulty driving in daytime compared with those without such difficulties (15.9% vs 5.3%, 19.7% vs 5.8%, 18.4% vs 5.6%, and 25.0% vs 6.1%, respectively). Quiz Ref IDMoreover, as the number of visual function problems increased among the participants, the prevalence and the severity of depression also increased (Figure).

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Crude prevalence (weighted percentages are presented) of depression (defined as a PHQ-9 score of ≥10) from the National Health and Nutrition Examination Survey 2005-2008. * P < .01 for comparison with mean PHQ-9 score by number of visual function problems (reference: mean PHQ-9 score for those reporting no visual function problems). PHQ-9 indicates 9-item Patient Health Questionnaire.

In contrast, the estimated (weighted) crude prevalence of depression was 10.7% (95% CI, 8.0%-14.3%) among those with presenting visual acuity impairment and 6.8% (95% CI, 5.8%-7.8%) among persons without presenting visual acuity impairment (Table 3). Among those with presenting visual acuity impairment, approximately 6.8% (95% CI, 5.9%-7.8%) of those with correctable visual acuity impairment and 10.9% (95% CI, 7.7%-15.2%) of those with uncorrectable visual acuity impairment had depression.

Table Graphic Jump LocationTable 3. Crude Prevalence of Depression by Visual Impairment Status in US Adults 20 Years of Age or Older, NHANES 2005-2008a

Table 4 shows the associations of depression with visual function loss and visual acuity impairment among US adults. In multivariate analysis, overall visual function loss was associated with increased odds (OR, 2.6 [95% CI, 2.2-3.1]) of depression after adjusting for age, sex, and race/ethnicity (Table 4, model I). The ORs slightly decreased (OR, 2.4 [95% CI, 2.0-2.9]) after further adjustment for socioeconomic characteristics (model II: model I plus marriage, living alone, education, income, employment status, and health insurance). The odds of depression were significantly higher among those with any visual function difficulty (OR, 1.9 [95% CI, 1.6-2.3]), even after controlling for all other factors, including unhealthy behavior (eg, smoking and binge drinking), self-reported health, BMI, and other chronic conditions (model III: model II plus BMI, smoking, binge drinking, self-reported health, worry about eyesight, diabetes, hypertension, cardiovascular disease, and cancer). Across all models, each measure of visual function loss was consistently significantly associated with depression. After controlling for age, sex, and race/ethnicity (model I), adults with presenting visual acuity impairment had higher odds of depression than their counterparts (OR, 1.6 [95% CI, 1.1-2.2]). However, Quiz Ref IDthere was no statistically significant association between depression and visual acuity impairment (presenting, correctable, and uncorrectable) in any models after controlling for other additional factors (models II and III).

Table Graphic Jump LocationTable 4. Multivariate Analysis for Depression Associated With Visual Function Loss and Visual Impairment, Each Modeled Separately in US Adults 20 Years of Age or Older, NHANES 2005-2008a

Quiz Ref IDOne in 10 US adults reporting loss of visual function meets criteria for clinically significant depressive disorder, and an additional 1 in 5 exhibits mild depressive symptoms (PHQ-9 score of 5-9). These rates of depression are comparable to rates of depression in persons with other chronic conditions.28 Blindness was ranked as the fourth most feared health condition, after AIDS, cancer, and Alzheimer disease.29 People with any kind of visual function loss are more likely than those with none to report depression, especially in key activities of daily living such as driving. Even after considering possible confounding factors, adults with visual function loss are at least 90% more likely to have depression than those without visual function loss.

To the best of our knowledge, this is the first study to assess, in a national sample, depressive symptoms in conjunction with visual function and visual acuity loss. Previous studies have used the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition),30 the Center for Epidemiologic Studies–Depression scale,7 the Geriatric Depression Scale,30 the Beck Depression Inventory,31 the Hamilton Rating Scale for Depression,32 the 12- or 36-item Short Form Health Survey,4 and the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes33,34 to assess depression and depressive symptomology. Although previous studies3537 have suggested an association between vision loss and depression among the older population, our study provides further evidence to generalize this relationship to adults across the age spectrum.

VISION LOSS AND DEPRESSION

Self-reported visual functioning reflects a person's perception of his or her ability to perform vision-related daily activities. The association between visual function loss and depression is complicated. Depression and disability may exist in a bidirectional relationship in which depression leads to disability and in which disability causes depression.38 Although it is not possible from this cross-sectional analysis to determine whether depression is a cause or an effect of visual function loss, it may be that people with depressive symptoms have actual physical limitations or perceived limitations. Individuals whose lifestyles have been influenced by a real or perceived reduced ability to perform instrumental activities of daily living (such as reading a medication label, recognizing a face, writing a check, or driving a vehicle) have been shown to be at higher risk for depression.39 Studies40,41 have reported that the presence of major age-related eye diseases (such as age-related macular degeneration [AMD] and glaucoma) are associated with an increased risk of depression. People with impaired vision often report that they feel unhappy, lonely, or even hopeless.42 In the English Longitudinal Study of Aging (Waves 1 and 2),7 self-reported vision loss was a consistent predictor of both onset and persistence of depression after adjusting for other covariates. Findings from the present study are consistent with this published literature. Moreover, a large population-based study5 from 10 European countries found that persons with self-reported impaired vision were more likely to report concentration problems; losing interest and enjoyment; feeling fatigued, irritable, sad, and tearful; having less hope for the future; and, in some cases, wishing for death.

People who are depressed may not seek out eye care when experiencing visual difficulties. They also may not realize, unless asked, that they even have difficulties with their vision. For those with diagnosed eye conditions, depression may cause poor adherence to treatment, which may, in turn, hasten the progression of vision loss. As a result, the association between visual function and depression could be further complicated because a depressive mood might adversely affect a person's self-reported visual function.2,30 Such an inverse association has also been found in other diseases.31,4345 One study46 found that depressive symptoms explained 40% to 50% of the variance of participation in daily activities and social roles. Another study3 suggested that vision-specific distress was the strongest unique predictor of depressive symptoms; the emotional consequence of vision loss thus plays a critical role that is separate from the severity and duration of visual acuity impairment and functional loss. A study by Ishii et al47 found that cataract surgery, which improves a patient's eyesight significantly, improved the vision-related quality of life and depressive mental status of elderly patients. Owsley at al48 reported that nursing home residents with uncorrected refractive error improved their quality of life and decreased their depressive symptoms after undergoing refractive correction.

Visual acuity and contrast sensitivity are 2 major predictors of visual function loss.1,4951 Visual acuity is important for activities involving good resolution and adaptation to changing light conditions, whereas contrast sensitivity is associated with activities involving distance judgments, night driving, and mobility.49 There is a substantial literature reporting the effect of loss of visual acuity on a decrease in quality of life and an increase in depression among people with AMD.2,30,5259 Among persons 65 years of age or older with glaucoma, those with vision loss (identified using ICD-9 codes) were more likely to develop depression (OR, 1.63 [95% CI, 1.54-1.73]) than those without vision loss.33 A recent population-based, retrospective cohort study34 in an older population in Quebec, Canada, found that clinically diagnosed vision impairment independently increased the risk of depression (hazard ratio, 1.35 [95% CI, 1.10-1.66] for severe cases; hazard ratio, 1.35 [95% CI, 1.09-1.69] for moderate visual impairment). Other studies2,37,41,60 also found that visual acuity loss and depressive symptoms were independently associated with visual function status in people 65 years of age or older.

In this analysis, the significance level of the association between visual function loss and depression was lower after we controlled for socioeconomic factors, and it was further reduced after we controlled for other confounding behavior and health condition factors. However, we did not find a statistically significant association between impairment of visual acuity (presenting, correctable, and uncorrectable) and depression after controlling for all potential confounders. Bookwala and Lawson,61 using data from National Social Life, Health, and Aging Project, also found that objective vision (visual acuity) contributed significantly to functional limitations but was unrelated to depressive symptoms. Likely, the association between vision loss and depression could be related to other factors in addition to reduced visual acuity, particularly the disability that vision loss causes in a person's life. People with uncorrectable visual acuity impairment may have adjusted to their physical limitation or may have implemented compensatory strategies and do not have strong depressive feelings. However, failing to reject the null hypothesis does not imply that the null hypothesis is true, only that the effect, if present, was too weak to detect with our sample. In addition, self-reported visual function loss represents a person's actual health condition and its effect on his or her daily activities. Their perceptions may reflect the overall function of vision, including not only the effect of loss of visual acuity but also other effects due to impairment (such as contrast sensitivity) of optical organs.

PUBLIC HEALTH IMPLICATIONS

The high prevalence of depression among people with visual function loss, especially among the older population, suggests that eye care providers and primary care providers should be aware of the increased risk of depression among those with vision loss. Depression alone is a major cause of disability independent of vision loss.62,63 Moreover, people with vision loss are more likely than those without to have other comorbid chronic conditions,disability, lack of social networking, worse overall health, and reduced access to health care.64,65 The capability to perform daily tasks of persons with both vision loss and depression is even more compromised.66 In particular, difficulty may be experienced when driving to a clinic and communicating with health care professionals owing to the combined effects of vision loss and depression. These circumstances limit these persons' ability to seek needed care. Several studies67,68 have indicated that receipt of rehabilitation services and the use of assistive devices are useful in addressing the issue of depression. A randomized, controlled trial53 of a self-management program involving cognitive and behavioral interventions for persons with AMD reported a significantly, clinically meaningful reduction in depressive symptoms after a 6-month follow-up. Improvements in mood and function were significantly greater for those with depression than for those without depression.69 Another study70 also found that interventions that teach patients problem-solving skills and that teach patients to identify practical solutions could prevent depressive disorders in patients with AMD.

Quiz Ref IDOur findings suggest that eye care professionals should consider patients' psychological conditions and provide referrals to those exhibiting depressive symptoms. Early diagnosis and prompt treatment could offer real benefit. For those at higher risk for depression, a potential screening tool might be useful. For example, eye care professionals and primary care providers may use PHQ-9 in clinical settings to screen patients with depressive symptoms and refer them for further evaluation if needed. Moreover, it is important for health care professionals to be aware of the prevalence of such conditions because they are often the first to interact with these patients on a consistent basis. Brody et al30 found that, among 151 adults with advanced AMD who were 60 years of age or older, almost one-third had a depressive disorder. Shmuely-Dulitzki et al63 found that 38.6% of people entering a low-vision clinic met the criteria for major depression according to the Diagnostic and Statistical Manual of Mental Disorders (Third Edition Revised) criteria, and yet only a very few received treatment. Another study71 found that fewer than 1 in 3 eye care providers attempt to identify depressive symptoms as a regular component of patient care. Effective training of eye care professionals of vision loss and depression might allow them to better prepare patients and their families to identify and manage depressive symptoms, especially among older persons whose activities of daily living have already been compromised by other chronic conditions.

The strengths of our study include its population-based national sample, its inclusion of persons with measured visual acuity impairment, and its effective detection of depressive symptoms using a short, easy-to-administer, and well-validated instrument, the PHQ-9. Survey participants who had no light perception or who had a severe infection in 1 or both eyes were excluded; this might bias the prevalence estimates toward the null, although the number of individuals excluded for these reasons were few. Because of data limitations, we were unable to assess the association of glare or contrast sensitivity with depression. Owing to limitations inherent with the NHANES sampling frame, we were unable to estimate the prevalence among racial/ethnic groups other than non-Hispanic whites, non-Hispanic blacks, and Mexican Americans. Finally, our data's cross-sectional nature makes it difficult to make causal inference. However, our findings are consistent with the existing literature and highlight the emerging public health need to address depression among people reporting loss of visual function.

In conclusion, our study provides nationally representative estimates on the prevalence of depression among persons with visual function loss and impairment in visual acuity. We found strong associations between loss of visual function (rather than loss of visual acuity) and the presence of depressive symptoms among US adults. Better recognition of depression among people reporting reduced ability to perform routine activities of daily living due to vision loss is warranted. Improved access to screening, diagnosis, and treatment of depression by eye care professionals and primary care providers may help to reduce the burden of depression-related excess disability and improve the quality of life among people with vision loss.

Correspondence: Xinzhi Zhang MD, PhD, Division of Data Management and Scientific Reporting, National Institute on Minority Health and Health Disparities, National Institutes of Health, 6707 Democracy Blvd, Ste 800, Bethesda, MD 20892-5465 (xinzhi.zhang@nih.gov).

Submitted for Publication: September 28, 2012; final revision received November 20, 2012; accepted November 26, 2012.

Published Online: March 7, 2013. doi:10.1001/jamaophthalmol.2013.2597

Author Contributions: Drs Zhang and Bullard had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Conflict of Interest Disclosure: None reported.

Funding/Support: This study was supported by the National Center for Health Statistics of the CDC. Funding for the NHANES retinal component was provided by intra-agency agreement 05FED47304 from the Division of Diabetes Translation of the CDC. Funding for the vision component was provided by Intramural Research Program award ZIAEY000402 from the National Eye Institute/National Institutes of Health.

Role of the Sponsors: The National Center for Health Statistics was involved in the design and conduct of the NHANES and in data collection, but it was not involved in the analysis or interpretation of the study results or in the preparation of the manuscript. The Division of Diabetes Translation provided funding support for the retinal component and was involved in the design and conduct of the study, in the collection, analysis, and interpretation of the data, and in the preparation, review, and approval of this article before submission.

Disclaimer: The findings and conclusions in this study are those of the authors and do not necessarily represent the official position of the National Institutes of Health or the CDC.

Additional Contributions: We thank the NHANES participants without whom this study would not be possible.

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Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure.  Psychiatr Ann. 2002;32(9):509-515http://www.lphi.org/LPHIadmin/uploads/.PHQ-9-Review-Kroenke-63754.PDF. Accessed January 8, 2013
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure.  J Gen Intern Med. 2001;16(9):606-613
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JB, Löwe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.  Gen Hosp Psychiatry. 2010;32(4):345-359
PubMed   |  Link to Article
Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders: Patient Health Questionnaire.  JAMA. 1999;282(18):1737-1744
PubMed   |  Link to Article
Spitzer RL, Williams JB, Kroenke K, Hornyak R, McMurray J. Validity and utility of the PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: the PRIME-MD Patient Health Questionnaire Obstetrics-Gynecology Study.  Am J Obstet Gynecol. 2000;183(3):759-769
PubMed   |  Link to Article
Lamoureux EL, Tee HW, Pesudovs K, Pallant JF, Keeffe JE, Rees G. Can clinicians use the PHQ-9 to assess depression in people with vision loss?  Optom Vis Sci. 2009;86(2):139-145
PubMed   |  Link to Article
American Diabetes Association.  Diagnosis and classification of diabetes mellitus [published correction appears in Diabetes Care. 2010;33(4):e57].  Diabetes Care. 2010;33:(suppl 1)  S62-S69
PubMed   |  Link to Article
Korn EL, Graubard BI. Analysis of Health Surveys. New York, NY: Wiley; 1999
Ambler G, Omar RZ, Royston P. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome.  Stat Methods Med Res. 2007;16(3):277-298
PubMed   |  Link to Article
Sterne JA, White IR, Carlin JB,  et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.  BMJ. 2009;338:b2393
PubMed   |  Link to Article
Charney DS, Reynolds CF III, Lewis L,  et al; Depression and Bipolar Support Alliance.  Depression and Bipolar Support Alliance consensus statement on the unmet needs in diagnosis and treatment of mood disorders in late life.  Arch Gen Psychiatry. 2003;60(7):664-672
PubMed   |  Link to Article
Faye EE, ed, Stuen CS, edThe Aging Eye and Low Vision: A Study Guide for Physicians. New York, NY: The Lighthouse Inc; 1992
Brody BL, Gamst AC, Williams RA,  et al.  Depression, visual acuity, comorbidity, and disability associated with age-related macular degeneration.  Ophthalmology. 2001;108(10):1893-1900; discussion 1900-1901
PubMed   |  Link to Article
Schrag A, Jahanshahi M, Quinn NP. What contributes to depression in Parkinson's disease?  Psychol Med. 2001;31(1):65-73
PubMed   |  Link to Article
Cubo E, Bernard B, Leurgans S, Raman R. Cognitive and motor function in patients with Parkinson's disease with and without depression.  Clin Neuropharmacol. 2000;23(6):331-334
PubMed   |  Link to Article
Bramley T, Peeples P, Walt JG, Juhasz M, Hansen JE. Impact of vision loss on costs and outcomes in Medicare beneficiaries with glaucoma.  Arch Ophthalmol. 2008;126(6):849-856
PubMed   |  Link to Article
Tournier M, Moride Y, Ducruet T, Moshyk A, Rochon S. Depression and mortality in the visually-impaired, community-dwelling, elderly population of Quebec.  Acta Ophthalmol. 2008;86(2):196-201
PubMed   |  Link to Article
Iliffe S, Kharicha K, Harari D, Swift C, Gillmann G, Stuck A. Self-reported visual function in healthy older people in Britain: an exploratory study of associations with age, sex, depression, education and income.  Fam Pract. 2005;22(6):585-590
PubMed   |  Link to Article
McDonnall MC. The effects of developing a dual sensory loss on depression in older adults: a longitudinal study.  J Aging Health. 2009;21(8):1179-1199
PubMed   |  Link to Article
Rovner BW, Zisselman PM, Shmuely-Dulitzki Y. Depression and disability in older people with impaired vision: a follow-up study.  J Am Geriatr Soc. 1996;44(2):181-184
PubMed
Rovner BW, Casten RJ. Activity loss and depression in age-related macular degeneration.  Am J Geriatr Psychiatry. 2002;10(3):305-310
PubMed
Tolman J, Hill RD, Kleinschmidt JJ, Gregg CH. Psychosocial adaptation to visual impairment and its relationship to depressive affect in older adults with age-related macular degeneration.  Gerontologist. 2005;45(6):747-753
PubMed   |  Link to Article
Casten RJ, Rovner BW, Tasman W. Age-related macular degeneration and depression: a review of recent research.  Curr Opin Ophthalmol. 2004;15(3):181-183
PubMed   |  Link to Article
Skalicky S, Goldberg I. Depression and quality of life in patients with glaucoma: a cross-sectional analysis using the Geriatric Depression Scale-15, assessment of function related to vision, and the Glaucoma Quality of Life-15.  J Glaucoma. 2008;17(7):546-551
PubMed   |  Link to Article
Globe DR, Wu J, Azen SP, Varma R.Los Angeles Latino Eye Study Group.  The impact of visual impairment on self-reported visual functioning in Latinos: the Los Angeles Latino Eye Study.  Ophthalmology. 2004;111(6):1141-1149
PubMed   |  Link to Article
Beck CA, Joseph L, Bélisle P, Pilote L.QOLAMI Investigators (Quality of life in acute myocardial infarction).  Predictors of quality of life 6 months and 1 year after acute myocardial infarction.  Am Heart J. 2001;142(2):271-279
PubMed   |  Link to Article
Gold DT, Burchett BM, Shipp KM, Pieper CF, Lyles KW. Factors associated with self-rated health in patients with Paget's disease of bone.  J Bone Miner Res. 1999;14:(suppl 2)  99-102
PubMed   |  Link to Article
Nash IS, Curtis LH, Rubin H. Predictors of patient-reported physical and mental health 6 months after percutaneous coronary revascularization.  Am Heart J. 1999;138(3, pt 1):422-429
PubMed   |  Link to Article
Desrosiers J, Wanet-Defalque MC, Témisjian K,  et al.  Participation in daily activities and social roles of older adults with visual impairment.  Disabil Rehabil. 2009;31(15):1227-1234
PubMed   |  Link to Article
Ishii K, Kabata T, Oshika T. The impact of cataract surgery on cognitive impairment and depressive mental status in elderly patients.  Am J Ophthalmol. 2008;146(3):404-409
PubMed   |  Link to Article
Owsley C, McGwin G Jr, Scilley K, Meek GC, Seker D, Dyer A. Effect of refractive error correction on health-related quality of life and depression in older nursing home residents.  Arch Ophthalmol. 2007;125(11):1471-1477
PubMed   |  Link to Article
Rubin GS, Roche KB, Prasada-Rao P, Fried LP. Visual impairment and disability in older adults.  Optom Vis Sci. 1994;71(12):750-760
PubMed   |  Link to Article
Ivers RQ, Cumming RG, Mitchell P, Attebo K. Visual impairment and falls in older adults: the Blue Mountains Eye Study.  J Am Geriatr Soc. 1998;46(1):58-64
PubMed
Crews JE, Jones GC, Kim JH. Double jeopardy: The effects of comorbid conditions among older people with vision loss.  J Vis Impair Blind. 2006;100:824-848http://www.afb.org/jvib/jvib001307.asp. Accessed January 9, 2013
Lotery A, Xu X, Zlatava G, Loftus J. Burden of illness, visual impairment and health resource utilisation of patients with neovascular age-related macular degeneration: results from the UK cohort of a five-country cross-sectional study.  Br J Ophthalmol. 2007;91(10):1303-1307
PubMed   |  Link to Article
Brody BL, Roch-Levecq AC, Kaplan RM, Moutier CY, Brown SI. Age-related macular degeneration: self-management and reduction of depressive symptoms in a randomized, controlled study.  J Am Geriatr Soc. 2006;54(10):1557-1562
PubMed   |  Link to Article
Hassell JB, Lamoureux EL, Keeffe JE. Impact of age related macular degeneration on quality of life.  Br J Ophthalmol. 2006;90(5):593-596
PubMed   |  Link to Article
Mitchell J, Bradley C. Quality of life in age-related macular degeneration: a review of the literature.  Health Qual Life Outcomes. 2006;4:97
PubMed   |  Link to Article
Pauleikhoff D, Scheider A, Wiedmann P,  et al.  Neovascular age-related macular degeneration in Germany: encroachment on the quality of life and the financial implications [in German].  Ophthalmologe. 2009;106(3):242-251
PubMed   |  Link to Article
Rovner BW, Casten RJ. Preventing late-life depression in age-related macular degeneration.  Am J Geriatr Psychiatry. 2008;16(6):454-459
PubMed   |  Link to Article
Rovner BW, Casten RJ, Hegel MT, Hauck WW, Tasman WS. Dissatisfaction with performance of valued activities predicts depression in age-related macular degeneration.  Int J Geriatr Psychiatry. 2007;22(8):789-793
PubMed   |  Link to Article
Wysong A, Lee PP, Sloan FA. Longitudinal incidence of adverse outcomes of age-related macular degeneration.  Arch Ophthalmol. 2009;127(3):320-327
PubMed   |  Link to Article
Hidalgo JL, Martínez IP, Bravo BN, Pretel FA, Ferrer AV, Verdejo MA. Visual function versus visual acuity in older people.  Ophthalmic Epidemiol. 2009;16(4):262-268
PubMed   |  Link to Article
Bookwala J, Lawson B. Poor vision, functioning, and depressive symptoms: a test of the activity restriction model.  Gerontologist. 2011;51(6):798-808
PubMed   |  Link to Article
Penninx BW, Leveille S, Ferrucci L, van Eijk JT, Guralnik JM. Exploring the effect of depression on physical disability: longitudinal evidence from the established populations for epidemiologic studies of the elderly.  Am J Public Health. 1999;89(9):1346-1352
PubMed   |  Link to Article
Shmuely-Dulitzki Y, Rovner BW, Zisselman P. The impact of depression on functioning in elderly patients with low vision.  Am J Geriatr Psychiatry. 1995;3(4):325-329Link to Article
Link to Article
Jones GC, Crews JE, Danielson ML. Health risk profile for older adults with blindness: an application of the International Classification of Functioning, Disability, and Health framework.  Ophthalmic Epidemiol. 2010;17(6):400-410
PubMed   |  Link to Article
Spencer C, Frick K, Gower EW, Kempen JH, Wolff JL. Disparities in access to medical care for individuals with vision impairment.  Ophthalmic Epidemiol. 2009;16(5):281-288
PubMed
Jones GC, Rovner BW, Crews JE, Danielson ML. Effects of depressive symptoms on health behavior practices among older adults with vision loss.  Rehabil Psychol. 2009;54(2):164-172
PubMed   |  Link to Article
McDonnall MC. Risk factors for depression among older adults with dual sensory loss.  Aging Ment Health. 2009;13(4):569-576
PubMed   |  Link to Article
Horowitz A, Reinhardt JP, Boerner K. The effect of rehabilitation on depression among visually disabled older adults.  Aging Ment Health. 2005;9(6):563-570
PubMed   |  Link to Article
Brody BL, Roch-Levecq AC, Gamst AC, Maclean K, Kaplan RM, Brown SI. Self-management of age-related macular degeneration and quality of life: a randomized controlled trial.  Arch Ophthalmol. 2002;120(11):1477-1483
PubMed
Rovner BW, Casten RJ, Hegel MT, Leiby BE, Tasman WS. Preventing depression in age-related macular degeneration.  Arch Gen Psychiatry. 2007;64(8):886-892
PubMed   |  Link to Article
Rees G, Fenwick EK, Keeffe JE, Mellor D, Lamoureux EL. Detection of depression in patients with low vision.  Optom Vis Sci. 2009;86(12):1328-1336
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Crude prevalence (weighted percentages are presented) of depression (defined as a PHQ-9 score of ≥10) from the National Health and Nutrition Examination Survey 2005-2008. * P < .01 for comparison with mean PHQ-9 score by number of visual function problems (reference: mean PHQ-9 score for those reporting no visual function problems). PHQ-9 indicates 9-item Patient Health Questionnaire.

Tables

Table Graphic Jump LocationTable 1. Selected Characteristics of 10 480 US Adults 20 Years of Age or Older, NHANES 2005-2008
Table Graphic Jump LocationTable 2. Crude Prevalence of Depression by Visual Function Status and Depression Severity in US Adults 20 Years of Age or Older, NHANES 2005-2008a
Table Graphic Jump LocationTable 3. Crude Prevalence of Depression by Visual Impairment Status in US Adults 20 Years of Age or Older, NHANES 2005-2008a
Table Graphic Jump LocationTable 4. Multivariate Analysis for Depression Associated With Visual Function Loss and Visual Impairment, Each Modeled Separately in US Adults 20 Years of Age or Older, NHANES 2005-2008a

References

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Rovner BW, Casten RJ, Tasman WS. Effect of depression on vision function in age-related macular degeneration.  Arch Ophthalmol. 2002;120(8):1041-1044
PubMed   |  Link to Article
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Mangione CM, Lee PP, Gutierrez PR, Spritzer K, Berry S, Hays RD.National Eye Institute Visual Function Questionnaire Field Test Investigators.  Development of the 25-item National Eye Institute Visual Function Questionnaire.  Arch Ophthalmol. 2001;119(7):1050-1058
PubMed   |  Link to Article
Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure.  Psychiatr Ann. 2002;32(9):509-515http://www.lphi.org/LPHIadmin/uploads/.PHQ-9-Review-Kroenke-63754.PDF. Accessed January 8, 2013
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure.  J Gen Intern Med. 2001;16(9):606-613
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JB, Löwe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.  Gen Hosp Psychiatry. 2010;32(4):345-359
PubMed   |  Link to Article
Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders: Patient Health Questionnaire.  JAMA. 1999;282(18):1737-1744
PubMed   |  Link to Article
Spitzer RL, Williams JB, Kroenke K, Hornyak R, McMurray J. Validity and utility of the PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: the PRIME-MD Patient Health Questionnaire Obstetrics-Gynecology Study.  Am J Obstet Gynecol. 2000;183(3):759-769
PubMed   |  Link to Article
Lamoureux EL, Tee HW, Pesudovs K, Pallant JF, Keeffe JE, Rees G. Can clinicians use the PHQ-9 to assess depression in people with vision loss?  Optom Vis Sci. 2009;86(2):139-145
PubMed   |  Link to Article
American Diabetes Association.  Diagnosis and classification of diabetes mellitus [published correction appears in Diabetes Care. 2010;33(4):e57].  Diabetes Care. 2010;33:(suppl 1)  S62-S69
PubMed   |  Link to Article
Korn EL, Graubard BI. Analysis of Health Surveys. New York, NY: Wiley; 1999
Ambler G, Omar RZ, Royston P. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome.  Stat Methods Med Res. 2007;16(3):277-298
PubMed   |  Link to Article
Sterne JA, White IR, Carlin JB,  et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.  BMJ. 2009;338:b2393
PubMed   |  Link to Article
Charney DS, Reynolds CF III, Lewis L,  et al; Depression and Bipolar Support Alliance.  Depression and Bipolar Support Alliance consensus statement on the unmet needs in diagnosis and treatment of mood disorders in late life.  Arch Gen Psychiatry. 2003;60(7):664-672
PubMed   |  Link to Article
Faye EE, ed, Stuen CS, edThe Aging Eye and Low Vision: A Study Guide for Physicians. New York, NY: The Lighthouse Inc; 1992
Brody BL, Gamst AC, Williams RA,  et al.  Depression, visual acuity, comorbidity, and disability associated with age-related macular degeneration.  Ophthalmology. 2001;108(10):1893-1900; discussion 1900-1901
PubMed   |  Link to Article
Schrag A, Jahanshahi M, Quinn NP. What contributes to depression in Parkinson's disease?  Psychol Med. 2001;31(1):65-73
PubMed   |  Link to Article
Cubo E, Bernard B, Leurgans S, Raman R. Cognitive and motor function in patients with Parkinson's disease with and without depression.  Clin Neuropharmacol. 2000;23(6):331-334
PubMed   |  Link to Article
Bramley T, Peeples P, Walt JG, Juhasz M, Hansen JE. Impact of vision loss on costs and outcomes in Medicare beneficiaries with glaucoma.  Arch Ophthalmol. 2008;126(6):849-856
PubMed   |  Link to Article
Tournier M, Moride Y, Ducruet T, Moshyk A, Rochon S. Depression and mortality in the visually-impaired, community-dwelling, elderly population of Quebec.  Acta Ophthalmol. 2008;86(2):196-201
PubMed   |  Link to Article
Iliffe S, Kharicha K, Harari D, Swift C, Gillmann G, Stuck A. Self-reported visual function in healthy older people in Britain: an exploratory study of associations with age, sex, depression, education and income.  Fam Pract. 2005;22(6):585-590
PubMed   |  Link to Article
McDonnall MC. The effects of developing a dual sensory loss on depression in older adults: a longitudinal study.  J Aging Health. 2009;21(8):1179-1199
PubMed   |  Link to Article
Rovner BW, Zisselman PM, Shmuely-Dulitzki Y. Depression and disability in older people with impaired vision: a follow-up study.  J Am Geriatr Soc. 1996;44(2):181-184
PubMed
Rovner BW, Casten RJ. Activity loss and depression in age-related macular degeneration.  Am J Geriatr Psychiatry. 2002;10(3):305-310
PubMed
Tolman J, Hill RD, Kleinschmidt JJ, Gregg CH. Psychosocial adaptation to visual impairment and its relationship to depressive affect in older adults with age-related macular degeneration.  Gerontologist. 2005;45(6):747-753
PubMed   |  Link to Article
Casten RJ, Rovner BW, Tasman W. Age-related macular degeneration and depression: a review of recent research.  Curr Opin Ophthalmol. 2004;15(3):181-183
PubMed   |  Link to Article
Skalicky S, Goldberg I. Depression and quality of life in patients with glaucoma: a cross-sectional analysis using the Geriatric Depression Scale-15, assessment of function related to vision, and the Glaucoma Quality of Life-15.  J Glaucoma. 2008;17(7):546-551
PubMed   |  Link to Article
Globe DR, Wu J, Azen SP, Varma R.Los Angeles Latino Eye Study Group.  The impact of visual impairment on self-reported visual functioning in Latinos: the Los Angeles Latino Eye Study.  Ophthalmology. 2004;111(6):1141-1149
PubMed   |  Link to Article
Beck CA, Joseph L, Bélisle P, Pilote L.QOLAMI Investigators (Quality of life in acute myocardial infarction).  Predictors of quality of life 6 months and 1 year after acute myocardial infarction.  Am Heart J. 2001;142(2):271-279
PubMed   |  Link to Article
Gold DT, Burchett BM, Shipp KM, Pieper CF, Lyles KW. Factors associated with self-rated health in patients with Paget's disease of bone.  J Bone Miner Res. 1999;14:(suppl 2)  99-102
PubMed   |  Link to Article
Nash IS, Curtis LH, Rubin H. Predictors of patient-reported physical and mental health 6 months after percutaneous coronary revascularization.  Am Heart J. 1999;138(3, pt 1):422-429
PubMed   |  Link to Article
Desrosiers J, Wanet-Defalque MC, Témisjian K,  et al.  Participation in daily activities and social roles of older adults with visual impairment.  Disabil Rehabil. 2009;31(15):1227-1234
PubMed   |  Link to Article
Ishii K, Kabata T, Oshika T. The impact of cataract surgery on cognitive impairment and depressive mental status in elderly patients.  Am J Ophthalmol. 2008;146(3):404-409
PubMed   |  Link to Article
Owsley C, McGwin G Jr, Scilley K, Meek GC, Seker D, Dyer A. Effect of refractive error correction on health-related quality of life and depression in older nursing home residents.  Arch Ophthalmol. 2007;125(11):1471-1477
PubMed   |  Link to Article
Rubin GS, Roche KB, Prasada-Rao P, Fried LP. Visual impairment and disability in older adults.  Optom Vis Sci. 1994;71(12):750-760
PubMed   |  Link to Article
Ivers RQ, Cumming RG, Mitchell P, Attebo K. Visual impairment and falls in older adults: the Blue Mountains Eye Study.  J Am Geriatr Soc. 1998;46(1):58-64
PubMed
Crews JE, Jones GC, Kim JH. Double jeopardy: The effects of comorbid conditions among older people with vision loss.  J Vis Impair Blind. 2006;100:824-848http://www.afb.org/jvib/jvib001307.asp. Accessed January 9, 2013
Lotery A, Xu X, Zlatava G, Loftus J. Burden of illness, visual impairment and health resource utilisation of patients with neovascular age-related macular degeneration: results from the UK cohort of a five-country cross-sectional study.  Br J Ophthalmol. 2007;91(10):1303-1307
PubMed   |  Link to Article
Brody BL, Roch-Levecq AC, Kaplan RM, Moutier CY, Brown SI. Age-related macular degeneration: self-management and reduction of depressive symptoms in a randomized, controlled study.  J Am Geriatr Soc. 2006;54(10):1557-1562
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Hassell JB, Lamoureux EL, Keeffe JE. Impact of age related macular degeneration on quality of life.  Br J Ophthalmol. 2006;90(5):593-596
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Zhang X, Bullard KM, Cotch MF, et al. Association between depression and functional vision loss in persons 20 years of age or older in the United States, NHANES 2005- 2008. JAMA Ophthalmology. Published online February 14, 2013. doi:10.1001/jamaophthalmol.2013.2597.

eTable. Extra Analysis: Crude prevalence of depression by age group in US adults aged =20 years: NHANES 2005-2008

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