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Original Article |

Higher Burden of Depression Among Older Women:  The Effect of Onset, Persistence, and Mortality Over Time FREE

Lisa C. Barry, PhD, MPH; Heather G. Allore, PhD; Zhenchao Guo, PhD; Martha L. Bruce, PhD; Thomas M. Gill, MD
[+] Author Affiliations

Author Affiliations: Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut (Drs Barry, Allore, Guo, and Gill); and Department of Psychiatry, Weill Medical College of Cornell University, White Plains, New York (Dr Bruce). Dr Barry is now with the Department of Epidemiology and Public Health, Yale University School of Medicine; Dr Guo is now with Global Epidemiology and Outcome Research, Bristol-Myers Squibb, Wallingford, Connecticut.


Arch Gen Psychiatry. 2008;65(2):172-178. doi:10.1001/archgenpsychiatry.2007.17.
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Published online

Context  The prevalence of depression is disproportionately higher in older women than men, yet the reasons for this sex difference are not clear.

Objective  To determine whether the higher burden of depression among older women than men might be attributable to sex differences in the onset (ie, first or recurrent episodes) or persistence of depression and/or to differential mortality among those who are depressed.

Design  Prospective cohort study.

Setting  General community in greater New Haven, Connecticut, from March 23, 1998, to August 31, 2005.

Participants  A total of 754 persons, 70 years or older, who were evaluated at 18-month intervals for 72 months.

Main Outcome Measures  The 3 outcome states were depressed, nondepressed, and death, with scores of 20 or more and less than 20 on the Center for Epidemiological Studies Depression Scale denoting depressed and nondepressed, respectively. The association between sex and the likelihood of 6 possible transitions (namely, from nondepressed or depressed to nondepressed, depressed, or death) was evaluated over time.

Results  The prevalence of depression was substantially higher among women than men at each of the 5 time points (P < .001). In most cases, transitions between the nondepressed and depressed states were characterized by moderate to large absolute changes in depression scores (ie, ≥ 10 points). Adjusting for other demographic characteristics, women had a higher likelihood of transitioning from nondepressed to depressed (odds ratio, 2.02; 95% confidence interval, 1.39-2.94) and a lower likelihood of transitioning from depressed to nondepressed (odds ratio, 0.27; 95% confidence interval, 0.13-0.56) or death (odds ratio, 0.24; 95% confidence interval, 0.09-0.60).

Conclusion  Among older persons, the higher burden of depression in women than men seems to be attributable to a greater susceptibility to depression and, once depressed, to more persistent depression and a lower probability of death.

Figures in this Article

Whereas major depression affects only about 1% to 2% of community-dwelling older persons,1,2 clinically significant depressive symptoms are more common. Often referred to as “depressed mood” or simply “depression,” clinically significant depressive symptoms affect between 8% and 20% of this population310 and are highly morbid.1123 The burden of depression, however, is disproportionately higher among older women than men.2,2431 Despite an expanding knowledge base about late-life depression,7,32 the reasons for this sex difference have remained poorly defined.

Efforts to explain the sex difference in the prevalence of depression have focused largely on evaluating associations between sex and exposure to risk factors for depression,28 comparing sex differences in the perception of symptoms,33,34 and identifying environmental and personality factors that mediate the relationship between sex and depression.35 An alternative approach, which has not yet been formally evaluated, is to determine whether sex differences in depression onset, persistence, and mortality might collectively account for the higher burden of depression among older women. While prior studies have evaluated sex differences in depression onset and persistence9,3640 or in mortality among those who are depressed,18,41,42 they have been limited by the availability of data at only 2 time points, often at widely spaced intervals,9,18,3638,40,42 or by a short follow-up.36 To our knowledge, only 1 study39 has considered the potentially fluctuating course of depression over time, but this study had a short follow-up and included only depressed persons in its sample.

The objective of this prospective study was to determine whether the higher burden of depression among older women than men is attributable to sex differences in the onset of depression (ie, first or recurrent episodes) or persistence of depression over time and/or to differential mortality among those who are depressed. To achieve our objective, we evaluated possible transitions between 3 states—not depressed, depressed, and death—at 18-month intervals for 6 years among a large cohort of older men and women.

STUDY POPULATION

Participants were members of the Precipitating Events Project, a longitudinal study of 754 community-dwelling persons 70 years or older.43 The assembly of the cohort has been described in detail elsewhere.43 In brief, potential participants were identified from 3157 age-eligible members of a health plan in New Haven. The primary inclusion criteria were English speaking and requiring no personal assistance with 4 key activities of daily living (ie, bathing, dressing, transferring from a chair, and walking). The participation rate was 75.2%.43 During the 6-year follow-up between March 23, 1998, and August 31, 2005, 232 participants died after a median of 48 months, 27 dropped out of the study after a median of 24 months, and 18 were subsequently excluded because of participation by proxy after a median of 32 months. The Human Investigation Committee at Yale University approved the study.

DATA COLLECTION

The present study included data collected during in-home assessments that were completed at baseline and every 18 months for up to 72 months by trained research nurses who used standard procedures that have been described in detail elsewhere.44 Demographic data included age, sex, race, and educational level. Medical comorbidity was ascertained based on the presence of 9 self-reported physician-diagnosed chronic conditions, including hypertension, myocardial infarction, congestive heart failure, stroke, diabetes mellitus, hip fracture, arthritis, chronic lung disease, and cancer (other than minor skin cancer). Cognitive status was assessed with the Mini-Mental State Examination of Folstein et al.45 Deaths were ascertained by review of local obituaries and/or from an informant.

ASSESSMENT OF DEPRESSION

The 11-item Center for Epidemiological Studies Depression Scale (CES-D)46 was used to assess depressive symptoms in the previous week during each of the 5 time points (ie, baseline and 18, 36, 54, and 72 months). Prior studies47,48 of older persons report test-retest reliability statistics of 0.82 or higher on the shortened form of the CES-D. As in several prior studies,17,18,49 scores were transformed using the procedure recommended by Kohout et al50 to make it compatible with the full 20-item instrument. Total scores range from 0 to 60, with higher scores indicating more depressive symptoms. While a CES-D score of 16 is most commonly used to distinguish between depressed and nondepressed persons in mixed-age samples, a cut point of 20 offers a more stringent approach to the classification of depressed mood among older persons.14,17,5153 A CES-D score of 20 or higher has been shown to predict outcomes related to well-being and functioning and diagnostic measures of depression,39 and it has been used in several prior epidemiological studies11,17,53 of depression in elderly persons. Data on depression were complete for 100% of the participants at baseline and 95.2%, 92.8%, 90.7%, and 89.8% of the nondecedents at 18, 36, 54, and 72 months, respectively.

STATISTICAL ANALYSIS

We determined the association, at baseline, between depression and the characteristics of the participants using χ2 or t test statistics. We then compared the prevalence of depression between men and women at each time point using the χ2 statistic. For each of the 18-month intervals, we calculated rates by sex for 6 possible transitions, defined based on the 3 outcome states: nondepressed, depressed, and death. χ2 or Fisher exact statistics were used to evaluate the bivariate associations between sex and the 6 possible transitions for each time interval. Because the number of participants was relatively small for some of the transitions, the power to detect statistically significant differences in the transition rates according to sex may not have been adequate for all comparisons. Furthermore, to account for the many comparisons, P values were determined according to the Hochberg method.54

To determine whether the observed transitions were clinically meaningful, we calculated the percentage of transitions that represented absolute changes in the CES-D scores of 1 to 3 (small), 4 to 9 (moderate), 10 to 19 (large), and 20 or more (very large) points for each time interval, and we subsequently determined whether the distribution of these percentages differed by sex using the χ2 statistic.

Last, we evaluated the association between sex and the likelihood of the 6 possible transitions over time using longitudinal methods that optimized statistical power and accounted for potential correlation among depression scores. Specifically, we ran generalized multinomial logit models for nominal outcomes that were estimated with a generalized estimating equation and used exchangeable correlation structures.55 The first longitudinal model included participants who were nondepressed at the beginning of any 18-month interval, with participants who were nondepressed during the entire interval (ie, at 2 consecutive 18-month time points) serving as the comparison group. The second longitudinal model included participants who were depressed at the beginning of any 18-month interval, with participants who were depressed during the entire interval serving as the comparison group. The magnitude of association was denoted by odds ratios, which were subsequently adjusted for age, race (white vs other), educational level, number of chronic conditions, and Mini-Mental State Examination score.

All statistical tests were 2-tailed, and P < .05 was considered statistically significant. The longitudinal models were performed using SUDAAN survey data analysis software, version 9.056; all other analyses were performed using SAS statistical software, version 9.1.57

Table 1 provides the characteristics of the study participants over 6 years. At baseline, participants were a mean age of 78.4 years; about two-thirds were women, and most were white. On average, participants had a high school education, had 2 chronic conditions, and were cognitively intact. Compared with the nondepressed participants, participants who were depressed at baseline were less educated (< .001), had more chronic conditions ( = .003), had lower Mini-Mental State Examination scores ( = .002), and were more likely to be women (P < .0001). The proportion of women did not change appreciably over time, while the burden of chronic conditions increased modestly. At baseline and each subsequent time point, the prevalence of depression was substantially higher among women than men (P < .001), with the greatest absolute difference observed at 54 months. Furthermore, of the 269 participants (35.7%) who were depressed at some point during the 72 months of follow-up, 48 (17.8%), 30 (11.2%), 17 (6.3%), and 12 (4.5%) were depressed during 2, 3, 4, and 5 consecutive time points, respectively, with more women experiencing depression at subsequent time points compared with men (P < .01).

Table Graphic Jump LocationTable 1. Characteristics of Study Participants Over 6 Yearsa

Table 2 provides the transition rates between the 3 outcome states over the 18-month intervals according to sex. With only a few exceptions, the rates were comparable across the 4 intervals. Among participants who were nondepressed, women generally had higher rates of transitioning to depressed and lower rates of remaining nondepressed or transitioning to death. Among those who were depressed, women had higher rates of remaining depressed and lower rates of transitioning to nondepressed or death, with 1 exception. Women had a higher rate of transitioning from depressed to death during the 54- to 72-month interval, although this difference was not statistically significant.

Table Graphic Jump LocationTable 2. Transition Rates Between the 3 Outcome States Over Time According to Sexa

As shown in the Figure, A, most transitions from nondepressed to depressed were based on moderate to large absolute changes in CES-D scores (ie, ≥ 10 points); small changes in the range of 1 to 3 points were observed for no more than 15% of the transitions during any of the 18-month intervals. Similar results were found for transitions from depressed to nondepressed (Figure, B). There were no differences in the distribution of change scores by sex for either set of transitions (results not shown).

Place holder to copy figure label and caption
Figure.

Change in Center for Epidemiological Studies Depression Scale score (by points) among participants who transitioned from nondepressed to depressed (A) and from depressed to nondepressed (B). In A, there were 64 participants from 0 to 18 months, 67 participants from 18 to 36 months, 51 participants from 36 to 54 months, and 38 participants from 54 to 72 months. In B, there were 31 participants from 0 to 18 months, 41 participants from 18 to 36 months, 48 participants from 36 to 54 months, and 37 participants from 54 to 72 months. Time 0 indicates baseline.

Graphic Jump Location

Table 3 presents the unadjusted and adjusted odds ratios derived from the longitudinal models evaluating the association between sex and the likelihood of the 6 transitions between the 3 outcome states over 6 years. Among those who were nondepressed, women were more likely to transition to a depressed state, with an adjusted odds ratio of 2.02. Among those who were depressed, women were less likely to transition to nondepressed and to death, with adjusted odds ratios of 0.27 and 0.24, respectively. There was no significant association between sex and transitioning from nondepressed to death.

Table Graphic Jump LocationTable 3. Longitudinal Assessment of Transitions Over the 6 Years Among Women Relative to Men

In this longitudinal study, which included multiple assessments over 6 years, we confirmed that the prevalence of depression is substantially higher among older women than men. More important, we found that this sex difference is attributable to a greater susceptibility to depression and, once depressed, to more persistent depression and a lower probability of death in older women.

Late-life depression is a significant clinical and public health problem because it is common69,37 and costly58,59 and is associated with disability8,15,17,19 and other adverse outcomes, including rehospitalization and death among those with chronic obstructive pulmonary disease,60 myocardial infarction,6163 and stroke.64 Despite these negative consequences, there is considerable uncertainty about why the prevalence of late-life depression is disproportionately higher in women than men. To our knowledge, the present study is the first to evaluate whether sex differences in depression onset, persistence, and mortality might collectively account for the higher burden of depression among older women.

With 1 exception,9 prior studies of community-living older persons have found no evidence of a sex difference in either the onset9,36,37,40 or persistence9,36,38,39 of depression. These studies,9,37,39,40 however, have generally included only 1 follow-up assessment of depression at an interval no shorter than 2 years. The inability to account for fluctuations in depression over time (ie, recurrent depression) may have a substantial effect on estimates of depression onset. In contrast, we evaluated transitions into and out of depression states at 18-month intervals for 6 years and used longitudinal methods that addressed potential problems related to low power for any single time interval. Low self-esteem, helplessness, and low social status have been shown to differentially increase the risk of depression onset in women younger than 65 years compared with men of the same age.65 Additional research is needed to determine the cause of sex differences in depression onset among older persons.

The consistency of our findings over 4 different time intervals provides strong evidence that depression is more likely to persist in older women than men. This sex difference in the persistence of depression is somewhat surprising because women are more likely than men to receive pharmacologic and nonpharmacologic treatment for depression.6670 Whether women are treated less aggressively than men for late-life depression or are less likely to respond to conventional treatment is not known7173 but should be the focus of future research. In addition, nearly 40% of the depressed participants in this study were depressed during at least 2 consecutive time points, highlighting the need to initiate and potentially maintain antidepressant treatment after resolution of the initial depressive episode.74

As in prior studies,18,41,42 we found that older women are less likely than men to die when depressed, providing a third explanation for the sex difference in the prevalence of depression. Of course, older men generally have higher mortality rates than older women, irrespective of depression,75 as was observed in the present study. Nevertheless, the mortality difference we observed by sex was marked, with a nearly 3-fold difference in the odds ratios for participants who were depressed compared with those who were not depressed.

The availability of 5 waves of data over a 6-year period provides the best information, to date, on how depression onset, persistence, and mortality collectively influence the prevalence of depression. Because these factors are highly interrelated, we were unable to determine their relative contribution to the prevalence of depression. Prevalence, for example, is a function of incidence and duration, while duration is a function of persistence and mortality.

Because information regarding participants' depression status before the baseline interview was not available, we cannot determine if participants' first transition from a nondepressed to a depressed state represents incident depression. Given the preponderance of depression among women compared with men in nonelderly samples,7678 it is possible that our findings represent the continuation of a sex-related pattern of depression established earlier in life. Future studies should evaluate whether sex differences in the onset and persistence of depression during youth and middle age may help to explain reasons for sex differences in depression patterns in older age.

In the absence of a diagnostic measure, such as the Structured Clinical Interview for DSM-IV,79 we were unable to determine the prevalence of major depression among the study participants. However, we used a cut point of 20 or greater on the CES-D to identify depressed participants at each time point. This cut point has previously been shown to enhance the likelihood of detecting depressed mood among community-living older persons.14,17,5153,80 Furthermore, the moderate to large changes in the CES-D scores over time, regardless of sex, indicate clinically meaningful transitions between depression states. The baseline rate of depression in our study is somewhat higher than rates reported in other studies17,80 of older persons that have used the more stringent cut point of 20 or greater on the CES-D. This difference may be explained by the higher mean age and more diverse racial composition of our sample compared with the samples in these other studies.

Because our study participants were members of a single health plan, nondisabled, and at least aged 70 years at baseline, the generalizability of our findings to other older adult populations may be questioned. As previously noted, however,43 the demographic characteristics of our study population, including years of education, closely mirror those of persons 70 years or older in New Haven County, Connecticut, which, in turn, are comparable to those in the United States as a whole, with the exception of race. New Haven County has more non-Hispanic whites in this age group than in the United States (91% vs 84%).81 Given that African Americans have a higher prevalence of persistent depression compared with non-Hispanic whites,82 future research should explore whether the relationship between sex and transitions across depression states is modified by race using data that more closely reflect the racial composition of older adults in the United States. Furthermore, generalizability depends not only on the characteristics of the study population but also on its stability over time.83 The high participation rate, completeness of data collection, and low rate of attrition for reasons other than death all enhance the generalizability of our findings82 and at least partially offset the absence of a population-based sample.

In summary, the higher burden of depression in older women than men seems to be attributable to a greater susceptibility to depression and, once depressed, to more persistent depression and a lower probability of death. Additional research is needed to determine the cause of these sex differences so that more effective strategies can be developed to detect and manage depression in this population.

Correspondence: Lisa C. Barry, PhD, MPH, Yale University Program on Aging, 300 George St, Ste 775, New Haven, CT 06511-6624 (lisa.barry@yale.edu).

Submitted for Publication: April 9, 2007; final revision received June 30, 2007; accepted July 26, 2007.

Author Contributions: Dr Gill had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Financial Disclosure: None reported.

Funding/Support: This study was supported by grants R37AG17560, R01AG022993, and 5T32AG019134 from the National Institute on Aging. The study was conducted at the Yale Claude D. Pepper Older Americans Independence Center (grant P30AG21342). Dr Barry is a 2007 Brookdale Leadership in Aging Fellow. Dr Gill is the recipient of Midcareer Investigator Award K24AG021507 in Patient-Oriented Research from the National Institute on Aging.

Previous Presentation: This study was presented as a poster at the 2006 Gerontological Society of America Meetings; November 17, 2006; Dallas, Texas.

Additional Contributions: Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Paula Clark, RN, Martha Oravetz, RN, Shirley Hannan, RN, Barbara Foster, and Alice Van Wie assisted with data collection; Evelyne Gahbauer, MD, MPH, provided data management and programming; Wanda Carr and Geraldine Hawthorne assisted with data entry and management; Peter Charpentier, MPH, developed the participant tracking system; and Joanne McGloin, MDiv, MBA, provided leadership and advice as the project director.

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Folstein  MFFolstein  SE McHugh  PR “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12 (3) 189- 198
PubMed Link to Article
Radloff  LS The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977;1 (3) 385- 481
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Lewinsohn  PMSeeley  JRRoberts  REAllen  NB Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging 1997;12 (2) 277- 287
PubMed Link to Article
Irwin  MArtin  KHOxman  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 (15) 1701- 1704
PubMed Link to Article
Rantanen  TPenninx  BWMasaki  KLintunen  TFoley  DGuralnik  JM Depressed mood and body mass index as predictors of muscle strength decline in old men. J Am Geriatr Soc 2000;48 (6) 613- 617
PubMed
Kohout  FJBerkman  LFEvans  DACornoni-Huntley  J Two shorter forms of the CES-D (Center for Epidemiological Studies Depression) depression symptoms index. J Aging Health 1993;5 (2) 179- 193
PubMed Link to Article
Husaini  BANeff  JAHarrington  JBHoughes  MDStone  RH Depression in rural communities: validating the CES-D scale. J Community Psychol 1980;8 (1) 20- 27
Link to Article
Beekman  ATDeeg  DJVan Limbeek  JBraam  AWDe Vries  MZVan Tilburg  W Criterion validity of the Center for Epidemiologic Studies Depression scale (CES-D): results from a community-based sample of older subjects in The Netherlands. Psychol Med 1997;27 (1) 231- 235
PubMed Link to Article
Lyness  JMNoel  TKCox  CKing  DAConwell  YCaine  ED Screening for depression in elderly primary care patients: a comparison of the Center for Epidemiologic Studies–Depression Scale and the Geriatric Depression Scale. Arch Intern Med 1997;157 (4) 449- 454
PubMed Link to Article
Hochberg  Y A sharper Bonferroni procedure for multiple tests of significance. Biometrika 1988;75 (4) 800- 802
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Hardin  JWHilbe  JM Generalized Estimating Equations.  Boca Raton, FL Chapman & Hall2003;
Research Triangle Institute, SUDAAN Software for the Statistical Analysis of Correlated Data, Release 9.0.  Research Triangle Park, NC Research Triangle Institute2005;
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Katon  WJLin  ERusso  JUnutzer  J Increased medical costs of a population-based sample of depressed elderly patients. Arch Gen Psychiatry 2003;60 (9) 897- 903
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Langa  KMValenstein  MAFendrick  AMKabeto  MUVijan  S Extent and cost of informal caregiving for older Americans with symptoms of depression. Am J Psychiatry 2004;161 (5) 857- 863
PubMed Link to Article
Ng  TPNiti  MTan  WCCao  ZOng  KCEng  P Depressive symptoms and chronic obstructive pulmonary disease: effect on mortality, hospital readmission, symptom burden, functional status, and quality of life. Arch Intern Med 2007;167 (1) 60- 67
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Parashar  SRumsfeld  JSSpertus  JAReid  KJWenger  NKKrumholz  HMAmin  AWeintraub  WSLichtman  JDawood  NVaccarino  V Time course of depression and outcome of myocardial infarction. Arch Intern Med 2006;166 (18) 2035- 2043
PubMed Link to Article
Grunau  GLRatner  PAGoldner  EMSheps  S Is early- and late-onset depression after acute myocardial infarction associated with long-term survival in older adults? a population-based study. Can J Cardiol 2006;22 (6) 473- 478
PubMed Link to Article
Rumsfeld  JSJones  PGWhooley  MASullivan  MDPitt  BWeintraub  WSSpertus  JA Depression predicts mortality and hospitalization in patients with myocardial infarction complicated by heart failure. Am Heart J 2005;150 (5) 961- 967
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Williams  LSGhose  SSSwindle  RW Depression and other mental health diagnoses increase mortality risk after ischemic stroke. Am J Psychiatry 2004;161 (6) 1090- 1095
PubMed Link to Article
Kendler  KSKessler  RCNeale  MCHeath  ACEaves  LJ The prediction of major depression in women: toward an integrated etiologic model. Am J Psychiatry 1993;150 (8) 1139- 1148
PubMed
Brown  MNLapane  KLLuisi  AF The management of depression in older nursing home residents. J Am Geriatr Soc 2002;50 (1) 69- 76
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Wang  PSBerglund  PKessler  RC Recent care of common medical disorders in the United States: prevalence and conformance with evidence-based recommendations. J Gen Intern Med 2000;15 (5) 284- 292
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Klap  RUnroe  KTUnutzer  J Caring for mental illness in the United States: a focus on older adults. Am J Geriatr Psychiatry 2003;11 (5) 517- 524
PubMed Link to Article
Unützer  JKaton  WCallahan  CMWilliams  JW  JrHunkeler  EHarpole  LHoffing  MDella Penna  RDNoel  PHLin  EHTang  LOishi  S Depression treatment in a sample of 1,801 depressed older adults in primary care. J Am Geriatr Soc 2003;51 (4) 505- 514
PubMed Link to Article
Unutzer  JSimon  GBelin  TRDatt  MKaton  WPatrick  D Care for depression in HMO patients aged 65 and older. J Am Geriatr Soc 2000;48 (8) 871- 878
PubMed
Hinton  LZweifach  MOishi  STang  LUnützer  J Gender disparities in the treatment of late-life depression: qualitative and quantitative findings from the IMPACT trial. Am J Geriatr Psychiatry 2006;14 (10) 884- 892
PubMed Link to Article
Solai  LKMulsant  BHPollack  BG Selective serotonin reuptake inhibitors for late-life depression: a comparative review. Drugs Aging 2001;18 (5) 355- 368
PubMed Link to Article
Whyte  EMDew  MAGildengers  ALenze  EJBharucha  AMulsant  BHReynolds  CF Time course of response to antidepressants in late-life major depression: therapeutic implications. Drugs Aging 2004;21 (8) 531- 554
PubMed Link to Article
Reynolds  CF  3rdDew  MAPollock  BGMulsant  BHFrank  EMiller  MDHouck  PRMazumdar  SButters  MAStack  JASchlernitzauer  MAWhyte  EMGildengers  AKarp  JLenze  ESzanto  KBensai  SKupfer  DJ Maintenance treatment of major depression in old age. N Engl J Med 2006;354 (11) 1130- 1138
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Piccinelli  MWilkinson  G Gender differences in depression: critical review. Br J Psychiatry 2000;177486- 492
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Kuehner  C Gender differences in unipolar depression: an update of epidemiological findings and possible explanations. Acta Psychiatr Scand 2003;108 (3) 163- 174
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Figures

Place holder to copy figure label and caption
Figure.

Change in Center for Epidemiological Studies Depression Scale score (by points) among participants who transitioned from nondepressed to depressed (A) and from depressed to nondepressed (B). In A, there were 64 participants from 0 to 18 months, 67 participants from 18 to 36 months, 51 participants from 36 to 54 months, and 38 participants from 54 to 72 months. In B, there were 31 participants from 0 to 18 months, 41 participants from 18 to 36 months, 48 participants from 36 to 54 months, and 37 participants from 54 to 72 months. Time 0 indicates baseline.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Characteristics of Study Participants Over 6 Yearsa
Table Graphic Jump LocationTable 2. Transition Rates Between the 3 Outcome States Over Time According to Sexa
Table Graphic Jump LocationTable 3. Longitudinal Assessment of Transitions Over the 6 Years Among Women Relative to Men

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PubMed Link to Article
Gill  TMAllore  HGHolford  TRGuo  Z Hospitalization, restricted activity, and the development of disability among older persons. JAMA 2004;292 (17) 2115- 2124
PubMed Link to Article
Folstein  MFFolstein  SE McHugh  PR “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12 (3) 189- 198
PubMed Link to Article
Radloff  LS The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977;1 (3) 385- 481
Link to Article
Lewinsohn  PMSeeley  JRRoberts  REAllen  NB Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging 1997;12 (2) 277- 287
PubMed Link to Article
Irwin  MArtin  KHOxman  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 (15) 1701- 1704
PubMed Link to Article
Rantanen  TPenninx  BWMasaki  KLintunen  TFoley  DGuralnik  JM Depressed mood and body mass index as predictors of muscle strength decline in old men. J Am Geriatr Soc 2000;48 (6) 613- 617
PubMed
Kohout  FJBerkman  LFEvans  DACornoni-Huntley  J Two shorter forms of the CES-D (Center for Epidemiological Studies Depression) depression symptoms index. J Aging Health 1993;5 (2) 179- 193
PubMed Link to Article
Husaini  BANeff  JAHarrington  JBHoughes  MDStone  RH Depression in rural communities: validating the CES-D scale. J Community Psychol 1980;8 (1) 20- 27
Link to Article
Beekman  ATDeeg  DJVan Limbeek  JBraam  AWDe Vries  MZVan Tilburg  W Criterion validity of the Center for Epidemiologic Studies Depression scale (CES-D): results from a community-based sample of older subjects in The Netherlands. Psychol Med 1997;27 (1) 231- 235
PubMed Link to Article
Lyness  JMNoel  TKCox  CKing  DAConwell  YCaine  ED Screening for depression in elderly primary care patients: a comparison of the Center for Epidemiologic Studies–Depression Scale and the Geriatric Depression Scale. Arch Intern Med 1997;157 (4) 449- 454
PubMed Link to Article
Hochberg  Y A sharper Bonferroni procedure for multiple tests of significance. Biometrika 1988;75 (4) 800- 802
Link to Article
Hardin  JWHilbe  JM Generalized Estimating Equations.  Boca Raton, FL Chapman & Hall2003;
Research Triangle Institute, SUDAAN Software for the Statistical Analysis of Correlated Data, Release 9.0.  Research Triangle Park, NC Research Triangle Institute2005;
SAS Institute Inc, Statistical Analysis System, Version 9.1.  Cary, NC SAS Institute Inc2002;
Katon  WJLin  ERusso  JUnutzer  J Increased medical costs of a population-based sample of depressed elderly patients. Arch Gen Psychiatry 2003;60 (9) 897- 903
PubMed Link to Article
Langa  KMValenstein  MAFendrick  AMKabeto  MUVijan  S Extent and cost of informal caregiving for older Americans with symptoms of depression. Am J Psychiatry 2004;161 (5) 857- 863
PubMed Link to Article
Ng  TPNiti  MTan  WCCao  ZOng  KCEng  P Depressive symptoms and chronic obstructive pulmonary disease: effect on mortality, hospital readmission, symptom burden, functional status, and quality of life. Arch Intern Med 2007;167 (1) 60- 67
PubMed Link to Article
Parashar  SRumsfeld  JSSpertus  JAReid  KJWenger  NKKrumholz  HMAmin  AWeintraub  WSLichtman  JDawood  NVaccarino  V Time course of depression and outcome of myocardial infarction. Arch Intern Med 2006;166 (18) 2035- 2043
PubMed Link to Article
Grunau  GLRatner  PAGoldner  EMSheps  S Is early- and late-onset depression after acute myocardial infarction associated with long-term survival in older adults? a population-based study. Can J Cardiol 2006;22 (6) 473- 478
PubMed Link to Article
Rumsfeld  JSJones  PGWhooley  MASullivan  MDPitt  BWeintraub  WSSpertus  JA Depression predicts mortality and hospitalization in patients with myocardial infarction complicated by heart failure. Am Heart J 2005;150 (5) 961- 967
PubMed Link to Article
Williams  LSGhose  SSSwindle  RW Depression and other mental health diagnoses increase mortality risk after ischemic stroke. Am J Psychiatry 2004;161 (6) 1090- 1095
PubMed Link to Article
Kendler  KSKessler  RCNeale  MCHeath  ACEaves  LJ The prediction of major depression in women: toward an integrated etiologic model. Am J Psychiatry 1993;150 (8) 1139- 1148
PubMed
Brown  MNLapane  KLLuisi  AF The management of depression in older nursing home residents. J Am Geriatr Soc 2002;50 (1) 69- 76
PubMed Link to Article
Wang  PSBerglund  PKessler  RC Recent care of common medical disorders in the United States: prevalence and conformance with evidence-based recommendations. J Gen Intern Med 2000;15 (5) 284- 292
PubMed Link to Article
Klap  RUnroe  KTUnutzer  J Caring for mental illness in the United States: a focus on older adults. Am J Geriatr Psychiatry 2003;11 (5) 517- 524
PubMed Link to Article
Unützer  JKaton  WCallahan  CMWilliams  JW  JrHunkeler  EHarpole  LHoffing  MDella Penna  RDNoel  PHLin  EHTang  LOishi  S Depression treatment in a sample of 1,801 depressed older adults in primary care. J Am Geriatr Soc 2003;51 (4) 505- 514
PubMed Link to Article
Unutzer  JSimon  GBelin  TRDatt  MKaton  WPatrick  D Care for depression in HMO patients aged 65 and older. J Am Geriatr Soc 2000;48 (8) 871- 878
PubMed
Hinton  LZweifach  MOishi  STang  LUnützer  J Gender disparities in the treatment of late-life depression: qualitative and quantitative findings from the IMPACT trial. Am J Geriatr Psychiatry 2006;14 (10) 884- 892
PubMed Link to Article
Solai  LKMulsant  BHPollack  BG Selective serotonin reuptake inhibitors for late-life depression: a comparative review. Drugs Aging 2001;18 (5) 355- 368
PubMed Link to Article
Whyte  EMDew  MAGildengers  ALenze  EJBharucha  AMulsant  BHReynolds  CF Time course of response to antidepressants in late-life major depression: therapeutic implications. Drugs Aging 2004;21 (8) 531- 554
PubMed Link to Article
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