Context
Depressive symptoms are common in patients with dementia and may be associated with increased risk of developing dementia. It has been hypothesized that depressive symptoms and dementia may be attributable to underlying vascular disease in some older persons.
Objectives
To test the hypotheses (1) that depressive symptoms are associated with increased risk of developing mild cognitive impairment (MCI), a preclinical state that often precedes dementia, and (2) that the association between depressive symptoms and MCI is attributable to underlying vascular disease.
Design
Prospective, population-based, longitudinal study.
Setting
Random sample of adults 65 years or older recruited from 4 US communities.
Participants
Subjects were 2220 participants in the Cardiovascular Health Study Cognition Study with high cognitive function at baseline. Depressive symptoms were measured at baseline using the 10-item Center for Epidemiological Studies Depression Scale and were classified as none (0-2 points), low (3-7 points), and moderate or high (≥8 points). Vascular disease measures at baseline included confirmed history of stroke, transient ischemic attack, diabetes mellitus, or hypertension; carotid artery stenosis; ankle-arm blood pressure index; and small or large infarcts or white matter disease on cerebral magnetic resonance imaging. Mild cognitive impairment was diagnosed after 6 years of follow-up based on the consensus of a team of dementia experts using standard clinical criteria.
Main Outcome Measure
Diagnosis of MCI.
Results
Depressive symptoms at baseline were associated with increased risk of MCI (10.0%, 13.3%, and 19.7% for those with no, low, and moderate or high depressive symptoms, respectively). This association was diminished only slightly by adjustment for vascular disease measures and demographics. Vascular disease measures also were associated with increased risk of MCI, and these associations were not diminished by adjustment for depressive symptoms or demographics.
Conclusion
Depressive symptoms were associated with increased risk of MCI, and this association was independent of underlying vascular disease.
Depressive symptoms are common in dementia and occur in approximately 30% of patients with dementia.1 Investigators conducting longitudinal studies2-8 have found that older persons with depressive symptoms have increased risk of cognitive decline and dementia, and the author of a meta-analysis9 concluded that the risk of dementia is approximately doubled in older adults with depressive symptoms. However, it remains controversial whether depressive symptoms represent a risk factor for dementia, whether they are an early symptom of neurodegeneration, or whether they are a reaction to early cognitive deficits. For example, some studies have suggested that depressive symptoms appear to coincide with10 or follow11,12 the onset of dementia rather than precede it.
It is important to clarify the timing of the association between depressive symptoms and dementia. If depressive symptoms are a risk factor for or an early symptom of dementia in some older persons, it would suggest that older adults should be monitored more closely for new depressive symptoms. In addition, randomized controlled trials could be performed to determine whether older adults with depressive symptoms are less likely to develop dementia if they are treated with antidepressants, cholinesterase inhibitors, or other medications.
Mild cognitive impairment (MCI) is a newly recognized syndrome that often precedes dementia. It is characterized by abnormal cognitive function that reflects a decline from prior levels that is not severe enough to affect daily activities or to satisfy the criteria for dementia.13 In a clinical setting, approximately 50% of patients with MCI convert to dementia within 3 years.14
Prior cross-sectional investigations have shown that depressive symptoms are common in patients with MCI.1 One study15 demonstrated that depressive symptoms were 1 of several risk factors for MCI, but the investigators did not exclude subjects with evidence of cognitive impairment at baseline. The primary objective of our study was to test the hypothesis that depressive symptoms are associated with increased risk of developing MCI in subjects with no evidence of cognitive impairment at baseline. To our knowledge, ours is the first study to examine the association between depressive symptoms and MCI longitudinally.
Prior studies also have demonstrated that depressive symptoms often co-occur with vascular disease16,17 and that older adults with depressive symptoms have more evidence of vascular disease on magnetic resonance imaging (MRI).18-20 This association has led to the “vascular depression” hypothesis, which proposes that vascular disease underlies mood disorders in some older adults.16 Because there is a growing body of evidence that vascular disease also is associated with greater risk and severity of cognitive decline and dementia,21-23 it has been proposed that vascular disease may be the link that underlies mood and cognitive disorders in some older persons.24 Therefore, a secondary objective of our study was to test the hypothesis that the association between depressive symptoms and MCI, if present, is attributable to underlying vascular disease.
The cardiovascular health study
Subjects were participants in the Cardiovascular Health Study (CHS),25 which is a prospective, population-based, longitudinal study of risk factors for coronary heart disease and stroke in 5888 adults 65 years or older: 5201 primarily African American and white subjects were enrolled in 1989-1990, and an additional 687 African Americans were enrolled in 1992-1993. Subjects were recruited from randomized Medicare eligibility lists in 4 US communities: Forsyth County, North Carolina; Washington County, Maryland; Sacramento County, California; and Pittsburgh, Pa. Subjects were considered eligible if they were 65 years or older, were noninstitutionalized, expected to remain in the area for at least 3 years, were able to give informed consent, did not require a proxy respondent, were not wheelchair bound, and were not receiving hospice treatment, radiotherapy, or chemotherapy.
The CHS included annual assessment of cognitive function beginning in 1989-1990 using the Modified Mini-Mental State Examination (3MS)26 and the Digit Symbol Test.27 The Benton Visual Retention Test28 was added in 1994-1995. In addition, beginning in 1996-1997, the Telephone Interview for Cognitive Status29 was performed when subjects were unable to come to the clinic; and the Informant Questionnaire on Cognitive Decline in the Elderly30 and the Dementia Questionnaire31 were performed in proxies if subjects were unable to participate in interviews on their own. Detailed data also were gathered at each annual visit on a wide range of other factors, including depressive symptoms, cardiovascular events, medication use, and ability to perform activities of daily living (ADL) and instrumental ADLs. In 1991-1994, cerebral MRI was performed in 3608 subjects.
The CHS Cognition Study has been described previously in detail, including the methods of classification for MCI and dementia.32,33 Briefly, in 1998-1999, the CHS administered a standardized protocol across the 4 sites to identify all participants who had prevalent dementia at the time of MRI in 1991-1994 or who developed subsequent incident dementia or MCI. The sample was limited to those participants who had MRI in 1991-1994 and a 3MS evaluation, for a total of 3608 participants. The results of a comparison between subjects who underwent MRI and those who did not have previously been reported.34
Each subject was classified as having normal cognition, dementia, or MCI based on a review of available data; dementia also was classified as being prevalent at the time of MRI or as being incident during follow-up. Information reviewed included all previous cognitive test data (3MS, Digit Symbol Test, Benton Visual Retention Test, Telephone Interview for Cognitive Status, Telephone Interview for Cognitive Status, and Dementia Questionnaire) and medical histories, ADL and instrumental ADL impairment, and medication use. In addition, more detailed neuropsychological, neurological, and psychiatric examinations were performed in a subset of subjects who were alive in 1998-1999 and considered high risk. All MCI and dementia cases were reviewed by an adjudication committee composed of expert neurologists and psychiatrists.
Dementia was defined as a progressive or static deficit in at least 2 cognitive domains that did not necessarily include memory and was of sufficient severity to affect the subjects' ADLs, combined with a history of normal intellectual function.32,33,35 Individuals who did not meet dementia criteria but who exhibited poor cognitive function that reflected a decline from a prior level were classified as having MCI. The MCI category reflected a heterogeneous group and was not restricted to the MCI amnestic subtype. Subjects classified as having MCI did not have ADL impairment, but they may have had minor instrumental ADL impairment. This definition is consistent with that proposed in a recent international consensus statement on criteria for MCI.13 This enabled classification of 3602 (99.8%) of 3608 subjects in the CHS Cognition Study, including those who had died during follow-up.
Our analyses excluded subjects with prevalent dementia at the time of MRI. In addition, to minimize the potential for inclusion of subjects with MCI at baseline, we restricted our analyses to the 2220 subjects who had 3MS scores of 90 or higher in 1992-1993 and who were classified as having normal cognitive function or MCI in 1998-1999. This is more conservative than the cutoff point of a 3MS score lower than 78 that is typically used to screen for dementia.36
Evaluation of depressive symptoms
Depressive symptoms were measured annually as part of the main CHS using the Center for Epidemiological Studies Depression Scale 10-item questionnaire,37 which has a maximum score of 30. We classified subjects as having moderate or high depressive symptoms if their scores were 8 or higher in 1992-1993. This cutoff point has been recommended by the CHS to reflect subjects at risk for clinical depression and has been used by other investigators.19 In addition, to determine whether there was a graded association between the number of depressive symptoms and MCI, we performed a Lowess smoothing curve (bandwidth, 0.8) of the percentage of subjects who developed MCI by the number of depressive symptoms in 1992-1993. This curve indicated that the risk of MCI began to increase in subjects with Center for Epidemiological Studies Depression Scale scores of 3 or higher, so we further classified the level of depressive symptoms at baseline as none (0-2 points), low (3-7 points), and moderate or high (≥8 points).
To examine the effects of treatment of depressive symptoms, we identified subjects who reported the use of antidepressants in 1992-1993. Medication use was assessed by asking subjects to show interviewers all prescription medications (including pills, dermal patches, eyedrops, creams, salves, and injections) that they had taken in the past 2 weeks, and the name, strength, and number of pills prescribed and taken were recorded. Medications were then classified into categories. We classified subjects as users of antidepressants if they reported the use of a tricyclic or tetracyclic antidepressant, nontricyclic antidepressant, or combination tricyclic antidepressant and antipsychotic or monoamine oxidase inhibitor at the 1992-1993 visit.
Evaluation of vascular disease
Vascular events, including stroke and transient ischemic attack (TIA), were identified as part of the main CHS study using a rigorous protocol.38,39 Subjects were asked at their initial interview whether they had ever had a stroke or TIA, with stroke defined as an abrupt onset of neurologic deficit lasting at least 24 hours and with TIA defined as a rapid onset of focal neurologic deficit lasting less than 24 hours. All potential vascular events were validated either by physician questionnaire or by medical record review.38 During follow-up, participants were asked to report all hospitalizations and outpatient cardiovascular events, which were investigated in detail. Incident vascular events were adjudicated by the CHS events subcommittee based on review of medical history, symptoms, course, and outcome using the definitions already given.39 The adjudication process sometimes detected previously unreported prebaseline events.
Carotid artery atherosclerosis was measured using duplex ultrasonography performed using 2-dimensional brightness mode imaging to detect thickening of the arterial wall, disruption of normal wall surfaces, and development of focal plaques bilaterally.25 Images were interpreted at the CHS ultrasound reading center by trained readers, and the degree of stenosis was classified as 0%, 1% to 24%, 25% to 49%, 50% to 74%, 75% to 99%, or 100% based on the most severely affected vessel.40
The ankle-arm blood pressure index was calculated by measuring blood pressure in the supine position after a 30-minute rest.25 Duplicate measurements were performed in the right arm and in both ankles, and the ankle-arm blood pressure index was calculated by averaging the measurements taken at each site and by taking the lower of the 2 ankle-arm ratios.
Diabetes mellitus was defined based on American Diabetic Association guidelines41 as a fasting glucose level of 126 mg/dL or higher (≥7.0 mmol/L) or the use of insulin or oral hypoglycemic agents. Hypertension was defined as a mean seated systolic blood pressure greater than 160 mm Hg, a mean seated diastolic blood pressure greater than 95 mm Hg, or a self-reported history of hypertension combined with the use of hypertensive medication.
Cerebral MRI was performed according to a standard protocol, and images were interpreted by trained neuroradiologists who were blinded to subjects' age, sex, race or ethnicity, and other clinical information.34,42-44 Infarcts on MRI were defined as lesions with an abnormal signal in a vascular distribution and no mass effect and were classified as small (<3 mm) or as large (≥3 mm). White matter disease was estimated as the total volume of periventricular and subcortical white matter signal abnormality on spin density–weighted axial images compared with 8 “reference” images and was classified on a scale ranging from grade 0 (none) to grade 9 (extensive). Intraclass correlation coefficients for repeated readings were 0.80 for white matter scores.44
We created 3 summary vascular disease measures, all of which reflected the 1992-1993 status. “Any history of vascular events” was defined as a confirmed history of stroke or TIA; “any subclinical vascular disease” was defined as a low ankle-arm blood pressure index (<1.0), high carotid artery stenosis (≥50%), or a confirmed history of diabetes mellitus or hypertension; and “any MRI evidence of vascular disease” was defined as the presence of large or small infarcts or a high white matter grade (≥4) on MRI.
We first examined the association between the number of depressive symptoms and MCI graphically by performing a Lowess smoothing curve (bandwidth, 0.8) of the percentage of subjects who developed MCI by the number of depressive symptoms at baseline. To minimize the effect of small cell numbers, if there were fewer than 10 subjects with MCI with a given number of depressive symptoms, we combined them with an adjacent group and used the median number of depressive symptoms for the combined group in the Lowess smoothing curve. As already described, we used this curve to establish our cutoff points for no (0-2 points) and low (3-7 points) depressive symptoms and to confirm our a priori cutoff point for moderate or high (≥8 points) depressive symptoms.
We determined whether baseline characteristics of subjects with no, low, and moderate or high depressive symptoms differed in an ordinal manner using linear regression analysis for continuous variables and nonparametric tests for trend for categorical variables. We used logistic regression analysis to determine whether older persons with low and moderate or high depressive symptoms at baseline had increased odds of developing MCI during 6 years compared with those with no depressive symptoms at baseline. We also used logistic regression analysis to determine whether older persons with vascular disease had increased odds of developing MCI. In addition, we performed subgroup analyses in which we examined the association between moderate or high depressive symptoms and MCI in various subgroups of the study population (eg, women vs men, African Americans vs whites, users vs nonusers of antidepressant agents, and apolipoprotein E ε4 carriers vs noncarriers).
To determine whether the association between depressive symptoms and MCI was attributable to vascular disease, we performed a series of logistic regression models as follows: (1) unadjusted, (2) adjusted for demographic factors, (3) adjusted for vascular events, (4) adjusted for subclinical vascular disease, (5) adjusted for MRI evidence of vascular disease, and (6) adjusted for all of these variables. Vascular disease measures were examined individually (ie, stroke and TIA entered as separate variables) and using our summary measures (ie, any history of vascular events). We also performed a series of stratified analyses to determine whether the effects of depressive symptoms were similar in subjects who had and those who did not have a history of vascular disease and tested for interaction between depressive symptoms and vascular disease measures (P<.20).
Because depressive symptoms and vascular disease measures were independently associated with MCI in all of our analyses, we used backward stepwise logistic regression analysis (P = .05 to enter and P = .10 to remove) to determine which measures were most strongly associated with increased odds of MCI. All demographic factors were retained to adjust for potential confounding.
All statistical analyses were performed using Stata (Intercooled, version 8.0; StataCorp LP, College Station, Tex). The final logistic regression model was evaluated for goodness of fit using the techniques of Hosmer and Lemeshow,45 and sensitivity analyses were performed after excluding outlier, high leverage, and influential data points.46
All study procedures were approved by institutional review boards at each site, and all participants signed an informed consent at study enrollment and periodically throughout the study. In addition, the secondary data analyses described herein were approved by the CHS steering committee; the committee on human research at the University of California, San Francisco; and the San Francisco Veterans Administration Medical Center research and development committee.
The 2220 study participants had a mean age of 74 years (age range, 64-92 years). Fifty-nine percent were women, 9% were African American, 84% had 12 or more years of education, and the mean ± SD 3MS score at baseline was 95.2± 2.9. Approximately 41% (n = 916) had low depressive symptoms, and 20% (n = 447) had moderate or high depressive symptoms at baseline.
Subjects with more depressive symptoms at baseline were slightly older, more likely to be female, and less educated than those with few depressive symptoms (Table 1). In addition, subjects with more depressive symptoms were more likely to have a history of vascular events, subclinical vascular disease, and MRI evidence of vascular disease. However, the percentages of subjects with no, low, and moderate or high depressive symptoms did not differ by race or ethnicity, and the mean cognitive test scores among the 3 groups in 1992-1993 were virtually identical.
Approximately 13% (n = 296) of the subjects developed MCI during follow-up. Subjects with more depressive symptoms in 1992-1993 were more likely to develop MCI during the 6-year follow-up (Figure 1). The risks of MCI were 10.0%, 13.3%, and 19.7% for subjects with no, low, and moderate or high depressive symptoms, respectively (Table 2), and the unadjusted odds of MCI were increased by 40% in subjects with low depressive symptoms and more than doubled in subjects with moderate or high depressive symptoms. In addition, subjects with vascular disease in 1992-1993 were more likely to develop MCI during follow-up. The odds of MCI were consistently increased by 50% to 60% for subjects with a history of vascular events, subclinical vascular disease, or MRI evidence of vascular disease.
The association between depressive symptoms and MCI was similar in a wide range of subgroups of the study population (eg, women vs men, African Americans vs whites, those with <12 vs ≥12 years of education, and apolipoprotein E ε4 carriers vs noncarriers) (Table 3). The use of antidepressant agents in 1992-1993 also did not alter the association between depressive symptoms and MCI.
The association between depressive symptoms and MCI was not altered by adjustment for any of the vascular disease measures, alone or in combination (Figure 2). Similarly, the association between vascular disease measures and MCI was not altered by adjustment for depressive symptoms. There was no evidence of interaction between depressive symptoms and vascular disease measures (range, P=.32 to P=.98 for interaction).
In our final multivariate logistic regression model, depressive symptoms and vascular disease measures were independently associated with greater odds of developing MCI, and the magnitudes of the associations were similar to those from unadjusted models (Table 4). The vascular disease measures that were most strongly associated with greater odds of MCI were large or small infarcts on MRI and a history of diabetes mellitus. Results were unchanged if variables were modeled as continuous rather than categorized (eg, carotid artery stenosis, ankle-arm blood pressure index, and white matter grade) and were not affected by the side on which the lesion was located.
In older adults with normal cognitive function, the risk of MCI increased with the number of depressive symptoms at baseline. The odds of developing MCI were more than doubled in those with moderate or high depressive symptoms (≥8 points on the 10-item Center for Epidemiological Studies Depression Scale) at baseline, which is consistent with the findings of a meta-analysis9 of the association between depressive symptoms and increased risk of dementia.
In addition, the association between moderate or high depressive symptoms and MCI was similar in all of the subgroups we examined (eg, women vs men, African Americans vs whites, younger vs older subjects, those with <12 vs ≥12 years of education, and apolipoprotein E ε4 carriers vs noncarriers) and was not altered by the use of antidepressant agents. This finding is in contrast to the results of some prior studies in which the association between depressive symptoms and dementia was limited to specific subgroups, such as men47 or those with higher education.8 This discrepancy may be explained by differences in study characteristics, such as differential loss to follow-up. The procedure used to diagnose MCI in the CHS Cognition Study resulted in virtually no loss to follow-up (0.2% with insufficient data) even among subjects who died, whereas the other studies8,47 experienced greater losses to follow-up that differed among the subgroups studied.
Our results support the findings of prior studies2-9 in which high depressive symptoms were associated with increased risk of cognitive decline and dementia. In addition, they are consistent with the hypothesis that depressive symptoms may be a symptom of ongoing neurodegeneration in some older persons.
To our knowledge, ours is the first study to examine the association between depressive symptoms and MCI longitudinally. Two prior studies1,15 of the association between depressive symptoms and MCI among the CHS Cognition Study participants included cross-sectional data, in whole or in part.
Contrary to our hypothesis, the association between depressive symptoms and MCI was independent of underlying vascular disease. Our findings differ from those of a recent study47 in which the risk of dementia was greatest in depressed men with hypertension. However, this finding was based on a few subjects (97 men with dementia), and it may have reflected random variation due to the small numbers in the subgroups examined. Our findings are consistent with those of a recent study48 in which depressed patients who had and those who did not have cognitive impairment did not differ in the levels of vascular disease or Alzheimer-type pathologic features observed at autopsy.
If the association between depressive symptoms and MCI is not attributable to vascular disease, what is the underlying mechanism? One hypothesis is that development of late-life depressive symptoms may reflect an underlying neuropathologic condition that manifests as cognitive decline over time. Therefore, depressive symptoms in the absence of overt cognitive impairment may reflect the early signs of a neurodegenerative disease. An alternative explanation is that the symptoms of depression may overlap to some extent with the symptoms of cognitive deterioration. For example, statements such as “I have trouble keeping my mind on what I am doing,” which is part of the Center for Epidemiological Studies Depression Scale, reflect aspects of mood and cognition.
Another hypothesis is that depression leads to damage in the hippocampus through a glucocorticoid cascade.9 This hypothesis is supported by research showing that older adults with high or rising cortisol levels during 5 years have poorer memory and greater hippocampal atrophy.49 There also may be a genetic link between depressive symptoms and dementia in some patients. For example, a study50 of women at high risk of carrying the presenilin 1 mutation for dementia showed that carriers of this mutation had significantly more depressive symptoms than noncarriers and were more likely to have sought help from a psychiatric professional. All of these hypotheses, and perhaps others, await testing.
Strengths of our study include its large sample size, minimal loss to follow-up (0.2%), inclusion of African American and white subjects, and detailed evaluation of cardiovascular disease, including adjudicated vascular events, measures of subclinical disease, and cerebral MRI. In addition, subjects in all 3 depressive symptom categories had similar levels of cognitive function at baseline, which minimizes the potential for diagnostic bias among subjects with depressive symptoms.
A limitation of our study was that we were unable to determine the year of onset for MCI. In particular, it would have been informative to determine the mean amount of time between depressive symptoms and development of MCI. In addition, to exclude subjects with evidence of cognitive impairment at baseline, we used the 3MS, which may be insensitive to very mild cognitive deficits. An additional limitation is that we did not formally diagnose subjects as having clinical depression, although our results suggest that even low levels of depressive symptoms are associated with slightly increased risk of MCI.
We found that older adults with normal cognitive function and moderate or high levels of depressive symptoms at baseline were twice as likely to develop MCI during 6 years of follow-up and that this association was independent of underlying vascular disease. Our findings support the hypothesis that depressive symptoms may be a risk factor for or an early symptom of dementia in some older persons, and they suggest that older adults with depressive symptoms should be monitored closely for development of MCI and dementia.
Correspondence: Deborah E. Barnes, PhD, MPH, Department of Psychiatry, University of California, San Francisco, 4150 Clement St (181G), San Francisco, CA 94121 (barnes@medicine.ucsf.edu).
Submitted for Publication: June 30, 2005; final revision received August 24, 2005; accepted September 8, 2005.
Group Members: A complete list of participating CHS investigators and institutions can be found at http://www.chs-nhlbi.org.
Funding/Support: The CHS was funded by grants N01 HC85079 through N01 HC85086, N01 HC35129, and N01 HC15103 from the National Heart, Lung, and Blood Institute, Bethesda, Md. The CHS Cognition Study was supported by grant R01 AG15928-02 from the National Institute on Aging, Bethesda. Additional support was provided by grants from the National Alliance for Research on Schizophrenia and Depression, Great Neck, NY (Drs Barnes and Yaffe), and by training grant T32 AG00212 from the National Institute on Aging (Dr Barnes).
Previous Presentations: This study was presented at the Eighth International Conference on Alzheimer's Disease and Related Disorders; July 19, 2004; Philadelphia, Pa; and at the 2005 Annual Meeting of the American Academy of Neurology; April 12, 2005; Miami Beach, Fla.
1.Lyketsos
CGLopez
OJones
BFitzpatrick
ALBreitner
JDeKosky
S Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the Cardiovascular Health Study.
JAMA 2002;2881475- 1483
PubMedGoogle ScholarCrossref 2.Yaffe
KBlackwell
TGore
RSands
LReus
VBrowner
WS Depressive symptoms and cognitive decline in nondemented elderly women: a prospective study.
Arch Gen Psychiatry 1999;56425- 430
PubMedGoogle ScholarCrossref 3.Wilson
RSBarnes
LLMendes de Leon
CFAggarwal
NTSchneider
JSBach
JPilat
JBeckett
LAArnold
SEEvans
DABennett
DA Depressive symptoms, cognitive decline, and risk of AD in older persons.
Neurology 2002;59364- 370
PubMedGoogle ScholarCrossref 4.Berger
AKFratiglioni
LForsell
YWinblad
BBackman
L The occurrence of depressive symptoms in the preclinical phase of AD: a population-based study.
Neurology 1999;531998- 2002
PubMedGoogle ScholarCrossref 5.Buntinx
FKester
ABergers
JKnottnerus
JA Is depression in elderly people followed by dementia? a retrospective cohort study based in general practice.
Age Ageing 1996;25231- 233
PubMedGoogle ScholarCrossref 6.Devanand
DPSano
MTang
MXTaylor
SGurland
BJWilder
DStern
YMayeux
R Depressed mood and the incidence of Alzheimer's disease in the elderly living in the community.
Arch Gen Psychiatry 1996;53175- 182
PubMedGoogle ScholarCrossref 7.Green
RCCupples
LAKurz
AAuerbach
SGo
RSadovnick
DDuara
RKukull
WAChui
HEdeki
TGriffith
PAFriedland
RPBachman
DFarrer
L Depression as a risk factor for Alzheimer disease: the MIRAGE Study.
Arch Neurol 2003;60753- 759
PubMedGoogle ScholarCrossref 8.Geerlings
MISchoevers
RABeekman
ATJonker
CDeeg
DJSchmand
BAder
HJBouter
LMVan Tilburg
W Depression and risk of cognitive decline and Alzheimer's disease: results of two prospective community-based studies in the Netherlands.
Br J Psychiatry 2000;176568- 575
PubMedGoogle ScholarCrossref 10.Dufouil
CFuhrer
RDartigues
JFAlperovitch
A Longitudinal analysis of the association between depressive symptomatology and cognitive deterioration.
Am J Epidemiol 1996;144634- 641
PubMedGoogle ScholarCrossref 11.Chen
PGanguli
MMulsant
BHDeKosky
ST The temporal relationship between depressive symptoms and dementia: a community-based prospective study.
Arch Gen Psychiatry 1999;56261- 266
PubMedGoogle ScholarCrossref 12.Vinkers
DJGussekloo
JStek
MLWestendorp
RGvan der Mast
RC Temporal relation between depression and cognitive impairment in old age: prospective population based study.
BMJ 2004;329e881
Google ScholarCrossref 13.Winblad
BPalmer
KKivipelto
MJelic
VFratiglioni
LWahlund
LONordberg
ABackman
LAlbert
MAlmkvist
OArai
HBasun
HBlennow
Kde Leon
MDeCarli
CErkinjuntti
TGiacobini
EGraff
CHardy
JJack
CJorm
ARitchie
Kvan Duijn
CVisser
PPetersen
RC Mild cognitive impairment: beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment.
J Intern Med 2004;256240- 246
PubMedGoogle ScholarCrossref 14.Petersen
RCSmith
GEWaring
SCIvnik
RJTangalos
EGKokmen
E Mild cognitive impairment: clinical characterization and outcome.
Arch Neurol 1999;56303- 308
PubMedGoogle ScholarCrossref 15.Lopez
OLJagust
WJDulberg
CBecker
JTDeKosky
STFitzpatrick
ABreitner
JLyketsos
CJones
BKawas
CCarlson
MKuller
LH Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 2.
Arch Neurol 2003;601394- 1399
PubMedGoogle ScholarCrossref 16.Alexopoulos
GSMeyers
BSYoung
RCCampbell
SSilbersweig
DCharlson
M “Vascular depression” hypothesis.
Arch Gen Psychiatry 1997;54915- 922
PubMedGoogle ScholarCrossref 17.Rao
R Cerebrovascular disease and late life depression: an age old association revisited.
Int J Geriatr Psychiatry 2000;15419- 433
PubMedGoogle ScholarCrossref 18.de Groot
JCde Leeuw
FEOudkerk
MHofman
AJolles
JBreteler
MM Cerebral white matter lesions and depressive symptoms in elderly adults.
Arch Gen Psychiatry 2000;571071- 1076
PubMedGoogle ScholarCrossref 19.Steffens
DCKrishnan
KRCrump
CBurke
GL Cerebrovascular disease and evolution of depressive symptoms in the Cardiovascular Health Study.
Stroke 2002;331636- 1644
PubMedGoogle ScholarCrossref 20.Thomas
AJPerry
RBarber
RKalaria
RNO’Brien
JT Pathologies and pathological mechanisms for white matter hyperintensities in depression.
Ann N Y Acad Sci 2002;977333- 339
PubMedGoogle ScholarCrossref 23.Vermeer
SEPrins
NDden Heijer
THofman
AKoudstaal
PJBreteler
MM Silent brain infarcts and the risk of dementia and cognitive decline.
N Engl J Med 2003;3481215- 1222
PubMedGoogle ScholarCrossref 25.Fried
LPBorhani
NOEnright
PFurberg
CDGardin
JMKronmal
RAKuller
LHManolio
TAMittelmark
MBNewman
A
et al. The Cardiovascular Health Study: design and rationale.
Ann Epidemiol 1991;1263- 276
PubMedGoogle ScholarCrossref 26.Teng
ELChui
HC The Modified Mini-Mental State (3MS) Examination.
J Clin Psychiatry 1987;48314- 318
PubMedGoogle Scholar 27.Wechsler
D Wechsler Adult Intelligence Scale–Revised. New York, NY Psychological Corp1981;
29.Brandt
JSpencer
MFolstein
M The Telephone Interview for Cognitive Status.
Neuropsychiatry Neuropsychol Behav Neurol 1988;1111- 117
Google Scholar 30.Jorm
AFJacomb
PA The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms.
Psychol Med 1989;191015- 1022
PubMedGoogle ScholarCrossref 32.Lopez
OLKuller
LHFitzpatrick
AIves
DBecker
JTBeauchamp
N Evaluation of dementia in the Cardiovascular Health Cognition Study.
Neuroepidemiology 2003;221- 12
PubMedGoogle ScholarCrossref 33.Lopez
OLJagust
WJDeKosky
STBecker
JTFitzpatrick
ADulberg
CBreitner
JLyketsos
CJones
BKawas
CCarlson
MKuller
LH Prevalence and classification of mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 1.
Arch Neurol 2003;601385- 1389
PubMedGoogle ScholarCrossref 34.Longstreth
WT
JrManolio
TAArnold
ABurke
GLBryan
NJungreis
CAEnright
PLO’Leary
DFried
L Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people: the Cardiovascular Health Study.
Stroke 1996;271274- 1282
PubMedGoogle ScholarCrossref 35.Fitzpatrick
ALKuller
LHIves
DGLopez
OLJagust
WBreitner
JCJones
BLyketsos
CDulberg
C Incidence and prevalence of dementia in the Cardiovascular Health Study.
J Am Geriatr Soc 2004;52195- 204
PubMedGoogle ScholarCrossref 36.McDowell
IKristjansson
BHill
GBHebert
R Community screening for dementia: the Mini Mental State Exam (MMSE) and Modified Mini-Mental State Exam (3MS) compared.
J Clin Epidemiol 1997;50377- 383
PubMedGoogle ScholarCrossref 37.Andresen
EMMalmgren
JACarter
WBPatrick
DL Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).
Am J Prev Med 1994;1077- 84
PubMedGoogle Scholar 38.Psaty
BMKuller
LHBild
DBurke
GLKittner
SJMittelmark
MPrice
TRRautaharju
PMRobbins
J Methods of assessing prevalent cardiovascular disease in the Cardiovascular Health Study.
Ann Epidemiol 1995;5270- 277
PubMedGoogle ScholarCrossref 39.Ives
DGFitzpatrick
ALBild
DEPsaty
BMKuller
LHCrowley
PMCruise
RGTheroux
S Surveillance and ascertainment of cardiovascular events: the Cardiovascular Health Study.
Ann Epidemiol 1995;5278- 285
PubMedGoogle ScholarCrossref 40.O’Leary
DHPolak
JFKronmal
RAKittner
SJBond
MGWolfson
SK
JrBommer
WPrice
TRGardin
JMSavage
PJCHS Collaborative Research Group, Distribution and correlates of sonographically detected carotid artery disease in the Cardiovascular Health Study.
Stroke 1992;231752- 1760
PubMedGoogle ScholarCrossref 41.American Diabetes Association, Diagnosis and classification of diabetes mellitus.
Diabetes Care. 2005;28
((suppl 1))
S37- S42
Google ScholarCrossref 42.Bryan
RNManolio
TASchertz
LDJungreis
CPoirier
VCElster
ADKronmal
RA A method for using MR to evaluate the effects of cardiovascular disease on the brain: the Cardiovascular Health Study.
AJNR Am J Neuroradiol 1994;151625- 1633
PubMedGoogle Scholar 43.Manolio
TAKronmal
RABurke
GLPoirier
VO’Leary
DHGardin
JMFried
LPSteinberg
EPBryan
RN Magnetic resonance abnormalities and cardiovascular disease in older adults: the Cardiovascular Health Study.
Stroke 1994;25318- 327
PubMedGoogle ScholarCrossref 44.Manolio
TABurke
GLO’Leary
DHEvans
GBeauchamp
NKnepper
LWard
BCHS Collaborative Research Group, Relationships of cerebral MRI findings to ultrasonographic carotid atherosclerosis in older adults: the Cardiovascular Health Study.
Arterioscler Thromb Vasc Biol 1999;19356- 365
PubMedGoogle ScholarCrossref 45.Hosmer
DWLemeshow
S Applied Logistic Regression. New York, NY John Wiley & Sons Inc1989;
46.Vittinghoff
EGlidden
DVShiboski
SCMcCulloch
CE Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. New York, NY Springer Science + Business Media,
Inc2005;
47.Fuhrer
RDufouil
CDartigues
JF Exploring sex differences in the relationship between depressive symptoms and dementia incidence: prospective results from the PAQUID Study.
J Am Geriatr Soc 2003;511055- 1063
PubMedGoogle ScholarCrossref 48.O’Brien
JThomas
ABallard
CBrown
AFerrier
NJaros
EPerry
R Cognitive impairment in depression is not associated with neuropathologic evidence of increased vascular or Alzheimer-type pathology.
Biol Psychiatry 2001;49130- 136
PubMedGoogle ScholarCrossref 49.Lupien
SJde Leon
Mde Santi
SConvit
ATarshish
CNair
NPThakur
MMcEwen
BSHauger
RLMeaney
MJ Cortisol levels during human aging predict hippocampal atrophy and memory deficits.
Nat Neurosci 1998;169- 73
PubMedGoogle ScholarCrossref 50.Ringman
JMDiaz-Olavarrieta
CRodriguez
YChavez
MPaz
FMurrell
JMacias
MAHill
MKawas
C Female preclinical presenilin-1 mutation carriers unaware of their genetic status have higher levels of depression than their non-mutation carrying kin.
J Neurol Neurosurg Psychiatry 2004;75500- 502
PubMedGoogle ScholarCrossref