Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2009 Jan 1.
Published in final edited form as: J Affect Disord. 2007 May 25;105(1-3):273–277. doi: 10.1016/j.jad.2007.04.022

Depressive Symptoms and Antidepressant Use in a Random Community Sample of Ethnically Diverse, Urban Elder Persons

Michael F Grunebaum 1, Maria A Oquendo 1, Jennifer J Manly 2
PMCID: PMC2211422  NIHMSID: NIHMS37250  PMID: 17532052

Abstract

BACKGROUND

There are limited data on depressive symptoms and antidepressant use in ethnically diverse, urban elderly.

METHODS

Analysis of depressive symptom and antidepressant use data from an epidemiological survey of dementia in an ethnically diverse, urban, elderly community.

RESULTS

21.5% (N=566) reported clinically significant depressive symptoms. Severity was inversely associated with socioeconomic status. 7.5% (N=194) reported antidepressant medication use. Multiple logistic regression analysis adjusting for severity and other covariates showed that men and African Americans had nearly half the odds of using antidepressants. Antidepressant use was more frequent among Hispanics, those with more severe depression and more medical illness.

LIMITATIONS

Combined sample; CES-D not validated in Hispanics and inner-city African Americans; depressive symptoms assessed at one time-point; lack of complete income data; geographically restricted.

CONCLUSIONS

In this elder sample, taking into account depressive symptom severity and other confounds, antidepressant use is nearly half as likely among men and African Americans.

Keywords: Depressive symptoms, antidepressant use, epidemiology, ethnicity, gender, help-seeking

INTRODUCTION

Depressive symptom rates in elderly community samples range from 15 to 19% (Blazer et al., 1980;Frerichs et al., 1981) and among other factors are associated with female sex (Blazer and Williams, 1980) and lower socioeconomic status (Sachs-Ericsson et al., 2005). Depressive symptoms raise mortality for older men (Penninx et al., 1999) and are associated with suicide, which is more frequent among elderly men (Grunebaum et al., 2004).

Lower depression treatment rates are found among African Americans (Blazer et al., 2000;Brown et al., 1995), Hispanics (Unutzer et al., 2003) and men (Brown, Salive, Guralnik, Pahor, Chapman, and Blazer, 1995).

We used data from an epidemiological dementia survey to study depressive symptoms and antidepressant use in a random sample of ethnically diverse, urban elderly. We hypothesized that men would report lower rates of antidepressant use taking into account depression severity.

METHOD

Subjects

Participants were surveyed in the Washington Heights-Inwood Columbia Aging Project, a community-based, epidemiological study of dementia in an ethnically diverse area of New York City. Bilingual (English/Spanish) recruitment letters were used to contact a stratified random sample of 50% of persons older than 65 years obtained from the Health Care Finance Administration (Center for Medicare Services).

The sample (N=2,629) combines 550 (21%) recruited in 1992 and 2,079 (79%) recruited 1999–2001. The sample had a mean age of 78.0 years (SD = 7.1, range 66 – 104 yrs), a mean of 9.9 years of education (SD = 4.9, range 0 – 20 yrs), median monthly income of $751–1,000 and was 68% female, 40% Hispanic, 32% non-Hispanic African American and 28% non-Hispanic white. Hispanic origins were 56% Dominican, 18% Cuban, 13% Puerto Rican and 13% “other.” 30% were married and 48% lived alone. After description of the study to participants, written informed consent approved by the hospital’s institutional review board was obtained.

Measures

General Procedures

Interview instruments were translated into Spanish by a committee of Spanish speakers and back-translated for validity. Visits were conducted in participants’ best language, mostly in the subject’s home.

Socio-demographic variables

Race/ethnicity was classified as non-Hispanic white, non-Hispanic African American, Hispanic (of any race), and other (i.e., non-Hispanic and “other” race). Education years were summed (0 to 20). Participants’ primary occupation was classified: housewife, housewife and other occupation, unskilled/semi-skilled, skilled trade/craft, clerical/office worker, manager business/government, professional/technical. Household income for the past month was assessed, but was missing for 632 (24%) subjects: 463 refused, 157 did not know, 12 were not asked.

Activities of daily living

A scale (Gurland et al., 1977) assessed activities of daily living (ADL: bathing, toileting, dressing, brushing hair, and feeding oneself) and instrumental activities of daily living (IADL: using the telephone, preparing meals, handling money, and completing chores).

Medical and neuropsychological evaluation

Research physicians performed neurological and physical examinations. Technicians administered neuropsychological measures. Physicians and neuropsychologists reached a consensus on the diagnosis of dementia. Medical burden summed the number of non-psychiatric medical diagnoses.

Depressive symptoms and antidepressant medication

Depressive symptoms and antidepressant use were assessed by the same research team 1999 – 2001. Depressive symptoms were assessed using a short version of the Center for Epidemiological Studies-Depression Scale (CES-D)(Radloff, 1977), a self-report measure used in community studies. This 10-item “Boston Form” was developed for the EPESE study (Kohout et al., 1993). A field test found a Cronbach’s alpha of 0.80 (actual Boston data) and factor analysis showed loadings similar to the full CES-D (Kohout, Berkman, Evans, and Cornoni-Huntley, 1993). 16 or greater on the full CES-D is an accepted cutoff for clinically significant depressive symptoms (Kohout, Berkman, Evans, and Cornoni-Huntley, 1993;Mulrow et al., 1995), defined as requiring further evaluation and possible treatment. This corresponds to a score of 4 on the version used here. This cut-point had acceptable sensitivity and specificity in screening for major depressive disorder in older adults (Irwin et al., 1999).

Research physicians asked subjects if they had sought “help or treatment” for past depressive symptoms. The physician asked whether they currently took antidepressant medication. When possible, medication bottles were examined. Subjects who were too demented to provide adequate information were not assessed for depression-related data, thus were not included in this analysis.

Statistical Analysis

Tests were performed using SPSS (SPSS Inc., Chicago, IL). CES-D score was not normally distributed and was analyzed using non-parametric tests. Correlates of sex were analyzed using Mann-Whitney, t, or chi-square tests as appropriate. We used multiple logistic regression analysis of antidepressant use to study its relationship to sex. Independent variables entered simultaneously were sex and factors associated with sex on bivariate tests: age, education, occupation level, marital status, living alone status, CES-D score, ADL and IADL impairment and medical burden. We also included Hispanic ethnicity (yes/no) and race (African American/white) as independent variables. We did not include income in the primary model as data were missing for 632 (24%) subjects, as noted. We tested exploratory models adding cohort (1992 vs. 1999) to the primary model and substituting high/low income group (median split) in place of occupational level.

RESULTS

Comparison of 1992 and 1999 cohorts

The 1992 cohort was older (mean age=82y (SD 5.2) vs. 77y (SD 7.1); t=20.1; df=1151.8; p<0.001) and more female (73% vs. 67%; χ2=8.0; df=1; p=0.005). Depressive symptom severity did not differ between the cohorts (Z=−0.23; p=0.82) nor did the proportion with clinically significant depressive symptoms (χ2=1.83; df=1; p=0.18). Further analyses were done on the combined sample. Regression models adjusted for age and sex.

Depressive Symptoms and Antidepressant Use

21.5% (N=566) of the combined sample had clinically significant depressive symptoms and 7.5% (N=194) reported current use of antidepressant medication. The mean CES-D score for the sample (N=2,629) was 1.9 (SD 2.1, range 0–10) and was 3.6 (SD 2.7) for those reporting antidepressant use.

Variables Associated with Depressive Symptoms

Depressive symptoms were associated with age, ADL and IADL complaints, living alone, and number of general medical problems (Table 1). Severity was inversely associated with income, education, and occupational level (Table 1). Married subjects and men had fewer symptoms (Table 1).

Table 1.

Relationship of Center for Epidemiological Studies-Depression Scale (CES-D) Score to Socio-demographic and Clinical Variables (N=2,629)

Variable N (%of sample) CES-D Score Mean (SD) Test Statistic (Z), [χ2], rho p value
Age 2629 (100) 0.06 0.004
Sex (−6.61) <0.001
 Female 1790 (68.1) 2.15 (2.25)
 Male 839 (31.9) 1.50 (1.82)
Race (−4.95) <0.001
 White 737 (28) 1.88 (1.98)
 African American 846 (32.2) 1.48 (1.87)
Ethnicity (−6.94) <0.001
 Hispanic 1046 (39.8) 2.35 (2.37)
 Non-Hispanic 1583 (60.2) 1.67 (1.93)
Education 2629 −0.11 <0.001
Income (median split) (−6.79) <0.001
 Lower 942 (46.8) 2.29 (2.35)
 Higher 1071 (53.2) 1.57 (1.88)
Occupational level Low>Mid>High [38.26]* <0.001
Married (−6.78) <0.001
 Yes 790 (30.2) 1.49 (1.87)
 No 1823 (69.8) 2.13 (2.22)
Activities of daily living (ADL) 1 2629 (100) 0.23 <0.001
Instrumental activities of daily living(IADL) 1 2629 (100) 0.24 <0.001
Living alone (−2.84) 0.005
 Yes 1250 (48.1) 2.09 (2.23)
 No 1349 (51.9) 1.81 (2.05)
Medical burden2 2629 (100) 0.14 <0.001

Spearman correlation.

*

Kruskal-Wallis test for occupational level with df=2: low (unskilled, semi-skilled); mid (skilled, clerical); high (manager, professional).

1

Total number of ADL and IADL complaints.

2

Total number of non-psychiatric medical problems (hypertension, diabetes, cardiac, stroke, arthritis, pulmonary, thyroid, liver, renal, peptic ulcer, peripheral vascular, cancer, Parkinson’s disease, multiple sclerosis, tremor).

Hispanics reported more symptoms than non-Hispanics (Table 1) and antidepressant use was more frequent with Hispanic ethnicity (9.9% vs. 6.0%; χ2=13.59, df=1, p<0.001) and female sex (9.3% vs. 3.8%; χ2=24.29, df=1, p<0.001). There were no differences in depressive symptom severity between the different Hispanic subgroups (Kruskal-Wallis χ2=5.44, df=3, p=0.14). Whites were more depressed than non-Hispanic African Americans (Table 1).

Variables Associated with Sex

Males attended more years of school (t=2.27, df=1548.9, p=0.02) and had lower likelihood of low income (χ2=64.79, df=1, p<0.001) and low occupational (χ2=11.95, df=1, p=0.001) levels. Males were younger (t=−5.57, df=2627, p<0.001), more likely to be married (χ2=307.33, df=1, p<0.001) and less likely to live alone (χ2=76.98, df=1, p<0.001). Males reported less functional impairment (any ADL complaints: χ2=47.76, df=1, p<0.001; any IADL complaints: χ2=15.18, df=1, p<0.001) and fewer non-psychiatric medical diagnoses (t=−6.54, df=2627, p<0.001). Dementia rate did not differ between males and females (χ2=2.11, df=1, p=0.15).

Logistic Regression Analysis of Antidepressant Use

Table 2 summarizes results of the primary logistic regression model. Antidepressant use was independently associated with female sex, white race, Hispanic ethnicity, greater CES-D score and more medical problems. The model including cohort as a predictor variable showed similar results (available on request). The model substituting occupational level with high vs. low income (median split; N=1,941) also showed similar results (available on request).

Table 2.

Multiple Logistic Regression Analysis of Antidepressant Medication Use (N=2,469)

Independent variable Wald Test Odds Ratio 95% Confidence Interval p valuea
Female sex 6.42 1.74 1.13 – 2.67 .011
Age 0.35 1.01 0.98 – 1.03 .56
Education 1.16 1.03 0.98 – 1.07 .28
Low occupation level 0.97 0.81 0.52 – 1.24 0.33
Hispanic ethnicity 7.37 1.89 1.19 – 3.01 .007
White race 8.03 1.97 1.23 – 3.16 .005
Married 0.03 0.96 0.62 – 1.49 .86
Living alone 1.11 1.22 0.85 – 1.75 .29
ADL problem (yes/no) 2.47 1.39 0.92 – 2.09 .12
IADL problem (yes/no) 1.83 1.31 0.89 – 1.92 .18
CES-D score 44.26 1.25 1.17 – 1.33 <.001
Medical burdenb 19.32 1.25 1.13 – 1.38 <.001
a

p-values for Wald chi-square tests with df = 1.

b

Total number of non-psychiatric medical problems (hypertension, diabetes, cardiac, stroke, arthritis, pulmonary, thyroid, liver, renal, peptic ulcer, peripheral vascular, cancer, Parkinson’s disease, multiple sclerosis, tremor).

Help-Seeking for Depressive Symptoms

Of those reporting past depressive symptoms, 58% (N=333) reported seeking help, mostly medication (56.8%) and psychotherapy (34.8%). Help-seeking was associated with female sex (61% vs. 49%; χ2=5.69, df=1, p=0.017), but not with African American race (52% vs. 60%; χ2=2.59, df=1, p=0.11) or Hispanic ethnicity (61% vs. 56%; χ2=1.38, df=1, p=0.24).

DISCUSSION

This community survey of ethnically diverse, urban elderly found after adjusting for severity, antidepressant use was about half as frequent among men and African Americans and more common among Hispanics. 21.5% of the sample had clinically significant depressive symptoms. This is consistent with other surveys (Blazer and Williams, 1980; Falcon et al., 2000;Frerichs, Aneshensel, and Clark, 1981;Potter et al., 1995). Our results were adjusted for multiple confounds and extend the EPESE study (Blazer, Hybel, Simonsick, and Hanlon, 2000;Brown, Salive, Guralnik, Pahor, Chapman, and Blazer, 1995) and Medicaid claims analyses (Strothers et al., 2005) to an independent, ethnically diverse, urban sample.

A national telephone survey of primary care patients found “African Americans are less likely than white persons to find antidepressant medication acceptable”(Cooper et al., 2003). Research is needed on elders’ beliefs about depression treatment.

In our cohort, 49% of elderly men reported having sought help for depressive symptoms compared to 61% of women. This may contribute to the difference in antidepressant use. Men are less likely to recognize emotional problems (Kessler et al., 1981) and to seek help (Moller-Leimkuhler, 2002), perhaps due to stigmatization of depression as a “female disease”(Moller-Leimkuhler, 2002).

Depressive symptoms may be under-recognized in elderly males as one study found (Stoppe et al., 1999) and may involve more aggression, which could contribute to under-recognition and higher rates of elderly male suicide (Rutz, 2001). A review of medication adherence in the elderly found inconsistent associations with sex, making this an unlikely explanation (Balkrishnan, 1998).

The explanation for greater use of antidepressants among Hispanics is unclear. There is debate whether the CES-D is an adequate screening instrument in Hispanics (Falcon and Tucker, 2000) and whether a lower (Robison et al., 2002) or higher (Cho et al., 1993) CES-D cut-point is preferable. Different depression rates between Hispanic subgroups are reported (Oquendo et al., 2001), but little is known about antidepressant use among Dominicans, who made up 56% of our Hispanic sample.

Our study has a number of limitations. The survey did not include a “gold standard” diagnostic interview. Assessment of depressive symptoms at one time-point is a limitation, but is unlikely to explain the race and gender disparities.

The CES-D short form used was field-tested in a Caucasian sample (Kohout, Berkman, Evans, and Cornoni-Huntley, 1993) and is not fully validated in Hispanic and inner-city African American samples. Selection bias may have occurred in combining cohorts recruited at different times, but our comparison of cohorts suggests this did not significantly affect our main findings. Recruitment using government registries and the geographically restricted sample require that the findings, particularly in Hispanics, be interpreted with caution. We cannot verify medication adherence since self-report was used and subjects tend to under-report antidepressant use. The survey did not gather detailed data on health insurance or current use of psychotherapy. Relatively little has been reported about antidepressant use in ethnically diverse geriatric populations. The results suggest a need for further study.

Acknowledgments

Support was provided by Federal Grant AG07232 and the Charles S. Robertson Memorial Gift for Alzheimer's Disease Research from the Banbury Fund. Dr. Grunebaum is supported by NARSAD and NIMH K23 MH076049-01 and has received investigator-initiated research support from GlaxoSmithKline (pills donated for a K Award clinical trial study unrelated to this paper).

Funding sources: Support was provided by Federal Grant AG07232 and the Charles S. Robertson Memorial Gift for Alzheimer's Disease Research from the Banbury Fund. Dr. Grunebaum is supported by NARSAD and NIMH K23 MH076049-01 and has received investigator-initiated research support from GlaxoSmithKline.

Footnotes

Author contributions: Dr. Grunebaum: designed the analysis, participated in data analysis and interpretation, did literature searches and wrote all manuscript drafts.

Dr. Oquendo: contributed to interpretation of data analyses and editing of multiple manuscript drafts.

Dr. Manly: participated in writing of the protocol, data collection and analysis, interpretation of statistical analyses and editing all manuscript drafts.

All authors contributed to and have approved the final manuscript.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Balkrishnan R. Predictors of medication adherence in the elderly. Clinical Therapeutics. 1998;20(4):764–771. doi: 10.1016/s0149-2918(98)80139-2. [DOI] [PubMed] [Google Scholar]
  • 2.Blazer D, Williams CD. Epidemiology of dysphoria and depression in an elderly population. Am J Psychiatry. 1980;137(4):439–444. doi: 10.1176/ajp.137.4.439. [DOI] [PubMed] [Google Scholar]
  • 3.Blazer DG, Hybel CF, Simonsick EM, Hanlon JT. Marked differences in antidepressant use by race in an elderly community sample: 1986–1996. Am J Psychiatry. 2000;157(7):1089–1094. doi: 10.1176/appi.ajp.157.7.1089. [DOI] [PubMed] [Google Scholar]
  • 4.Brown SL, Salive ME, Guralnik JM, Pahor M, Chapman DP, Blazer D. Antidepressant use in the elderly: association with demographic characteristics, health-related factors, and health care utilization. J Clin Epidemiol. 1995;48(3):445–453. doi: 10.1016/0895-4356(94)00188-v. [DOI] [PubMed] [Google Scholar]
  • 5.Cho MJ, Moscicki EK, Narrow WE, Rae DS, Locke BZ, Regier DA. Concordance between two measures of depression in the Hispanic Health and Nutrition Examination Survey. Soc Psychiatry Psychiatr Epidemiol. 1993;28:156–163. doi: 10.1007/BF00797317. [DOI] [PubMed] [Google Scholar]
  • 6.Cooper LA, Gonzales JJ, Gallo JJ, Rost KM, Meredith LS, Rubenstein LV, Wang NY, Ford DE. The acceptability of treatment for depression among African-American, Hispanic, and white primary care patients. Medical Care. 2003;41(4):479–489. doi: 10.1097/01.MLR.0000053228.58042.E4. [DOI] [PubMed] [Google Scholar]
  • 7.Falcon LM, Tucker KL. Prevalence and correlates of depressive symptoms among Hispanic elders in Massachusetts. Journal of Gerontology: Social Sciences. 2000;55B(2):S108–S116. doi: 10.1093/geronb/55.2.s108. [DOI] [PubMed] [Google Scholar]
  • 8.Frerichs RR, Aneshensel CS, Clark VA. Prevalence of depression in Los Angeles county. Am J Epidemiol. 1981;113:691–699. doi: 10.1093/oxfordjournals.aje.a113149. [DOI] [PubMed] [Google Scholar]
  • 9.Grunebaum MF, Ellis SP, Li S, Oquendo MA, Mann JJ. Antidepressants and suicide risk in the United States, 1985–1999. J Clin Psychiatry. 2004;65(11):1456–1462. doi: 10.4088/jcp.v65n1103. [DOI] [PubMed] [Google Scholar]
  • 10.Gurland B, Kuriansky J, Sharpe L, Simon R, Stiller P, Birkett P. The Comprehensive Assessment and Referral Evaluation (CARE)--rationale, development and reliability. Int J Aging Hum Dev. 1977;8(1):9–42. doi: 10.2190/cl3j-0e20-97xx-mv5l. [DOI] [PubMed] [Google Scholar]
  • 11.Irwin M, Artin KH, Oxman MN. Screening for depression in the older adult: criterion validity of the 10-item Center for Epidemiological Studies Depression Scale (CES-D) Arch Intern Med. 1999;159:1701–1704. doi: 10.1001/archinte.159.15.1701. [DOI] [PubMed] [Google Scholar]
  • 12.Kessler RC, Brown RL, Broman CL. Sex differences in psychiatric help-seeking: evidence from four large-scale surveys. Journal of Health and Social Behavior. 1981;22:49–64. [PubMed] [Google Scholar]
  • 13.Kohout FJ, Berkman LF, Evans DA, Cornoni-Huntley J. Two shorter forms of the CES-D depression symptoms index. Journal of Aging and Health. 1993;5(2):179–193. doi: 10.1177/089826439300500202. [DOI] [PubMed] [Google Scholar]
  • 14.Moller-Leimkuhler AM. Barriers to help-seeking by men: a review of sociocultural and clinical literature with particular reference to depression. J Affect Disord. 2002;71:1–9. doi: 10.1016/s0165-0327(01)00379-2. [DOI] [PubMed] [Google Scholar]
  • 15.Mulrow CD, Williams JW, Jr, Gerety MB, Ramirez G, Montiel OM, Kerber C. Case-finding instruments for depression in primary care settings. Ann Intern Med. 1995;122:913–921. doi: 10.7326/0003-4819-122-12-199506150-00004. [DOI] [PubMed] [Google Scholar]
  • 16.Oquendo MA, Ellis SP, Greenwald S, Malone KM, Weissman MM, Mann JJ. Ethnic and sex differences in suicide rates relative to major depression in the United States. Am J Psychiatry. 2001;158:1652–1658. doi: 10.1176/appi.ajp.158.10.1652. [DOI] [PubMed] [Google Scholar]
  • 17.Penninx BW, Geerlings SW, Deeg DJ, van Eijk JT, van Tilburg W, Beekman AT. Minor and major depression and the risk of death in older persons. Arch Gen Psychiatry. 1999;56:889–895. doi: 10.1001/archpsyc.56.10.889. [DOI] [PubMed] [Google Scholar]
  • 18.Potter LB, Rogler LH, Moscicki EK. Depression among Puerto Ricans in New York City: the Hispanic Health and Nutrition Examination Survey. Soc Psychiatry Psychiatr Epidemiol. 1995;30:185–193. doi: 10.1007/BF00790657. [DOI] [PubMed] [Google Scholar]
  • 19.Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
  • 20.Robison J, Gruman C, Gaztambide S, Blank K. Screening for depression in middle-aged and older Puerto Rican primary care patients. J Gerontol. 2002;57A(5):M308–M314. doi: 10.1093/gerona/57.5.m308. [DOI] [PubMed] [Google Scholar]
  • 21.Rutz W. Preventing suicide and premature death by education and treatment. J Affect Disord. 2001;62(1–2):123–129. doi: 10.1016/s0165-0327(00)00356-6. [DOI] [PubMed] [Google Scholar]
  • 22.Sachs-Ericsson N, Plant EA, Blazer DG. Racial differences in the frequency of depressive symptoms among community dwelling elders: The role of socioeconomic factors. Aging & Mental Health. 2005;9(3):201–209. doi: 10.1080/13607860500114480. [DOI] [PubMed] [Google Scholar]
  • 23.Stoppe G, Sandholzer H, Huppertz C, Duwe H, Staedt J. Gender differences in the recognition of depression in old age. Maturitas. 1999;32:205–212. doi: 10.1016/s0378-5122(99)00024-9. [DOI] [PubMed] [Google Scholar]
  • 24.Strothers HSI, Rust G, Minor P, Fresh E, Druss B, Satcher D. Disparities in antidepressant treatment in Medicaid elderly diagnosed with depression. J Am Geriatr Soc. 2005;53:456–461. doi: 10.1111/j.1532-5415.2005.53164.x. [DOI] [PubMed] [Google Scholar]
  • 25.Unutzer J, Katon W, Callahan CM, Williams JW, Jr, Hunkeler E, Harpole L, Hoffing M, Della Penna RD, Noel PH, Lin EHB, Tang L, Oishi S. Depression treatment in a sample of 1,801 depressed older adults in primary care. J Am Geriatr Soc. 2003;51:505–514. doi: 10.1046/j.1532-5415.2003.51159.x. [DOI] [PubMed] [Google Scholar]

RESOURCES