Skip to main content
The Gerontologist logoLink to The Gerontologist
. 2016 Jun 23;56(6):e109–e127. doi: 10.1093/geront/gnw091

Subjective Cognitive Impairment and Affective Symptoms: A Systematic Review

Nikki L Hill 1,*, Jacqueline Mogle 1, Rachel Wion 1, Elizabeth Munoz 2, Nicole DePasquale 3, Andrea M Yevchak 1, Jeanine M Parisi 4
PMCID: PMC5181393  PMID: 27342440

Abstract

Purpose of Study:

Subjective cognitive impairment (SCI) has been argued to reflect affective symptoms (i.e., depression and anxiety) rather than actual cognitive issues. Although a number of studies exist that look at the associations between SCI and affective symptoms, no review is available to aggregate this disparate literature. We addressed this gap by conducting a systematic review to better understand the relationships among SCI and affective symptoms among older adults in both community and clinical settings.

Design and Methods:

We reviewed available literature per the criteria of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Weight of evidence (WoE) ratings and narrative synthesis were completed for 58 articles.

Results:

A majority of studies focused on community-based samples (n = 40). Approximately half (53%) of the articles reviewed met high WoE criteria for the current review. Cross-sectional findings consistently identified a positive relationship among SCI and affective symptoms. Findings from available longitudinal studies (n = 9) were mixed but suggested a possible reciprocal relationship among SCI and depression. The relationship between SCI and anxiety appeared to be driven by fears over loss of function. Following consultation with health professionals, the association between SCI and anxiety was diminished or eliminated.

Implications:

Although SCI is consistently related to affective symptoms in older adults cross-sectionally, more longitudinal work is needed to understand their temporal relationship. Improved measurement of SCI would support a deeper understanding of the impact of SCI on psychological well-being.

Keywords: Cognition, Depression, Memory


Subjective cognitive impairment (SCI) refers to the perception of a decline in cognition (typically memory) in the absence of objectively measured cognitive deficits (Jessen et al., 2014). Several related constructs have been used to operationalize SCI, including subjective memory complaints, perceived forgetfulness, or cognitive concerns (Abdulrab & Heun, 2008; Jessen et al., 2014). SCI is common among older adults, with prevalence rates ranging from 15% to 50% across studies (Minett, Da Silva, Ortiz, & Bertolucci, 2008; Reid & Maclullich, 2006); however, it is also decidedly heterogeneous in its clinical presentation as well as long-term cognitive outcomes (Donovan et al., 2014).

SCI is of scientific interest for two main reasons. First, individuals with greater cognitive concerns may be at an increased risk for future objective declines in cognitive performance, including the development of mild cognitive impairment (MCI) and Alzheimer’s disease (AD; Jessen, 2014; Reid & Maclullich, 2006; Reisberg, Shulman, Torossian, Leng, & Zhu, 2010). However, the causal pathway from SCI to objective impairment is unclear. It may be that subtle changes in cognitive function are perceived by the individual before they can be detected through clinical assessment (Jessen et al., 2014) or other factors may contribute to the perception of cognitive problems, such as affective symptoms (i.e., depressive and anxiety symptoms; Buckley et al., 2013; Yates, Clare, & Woods, 2015). Second, greater SCI may negatively affect the mental health of older adults (Parikh, Troyer, Maione, & Murphy, 2015). The perception of cognitive problems can precipitate worry about AD (Kessler, Bowen, Baer, Froelich, & Wahl, 2012; Mol, Ruiter, Verhey, Dijkstra, & Jolles, 2008), withdrawal from positive health behaviors, such as physical and social activity engagement (Burke & Shafto, 2004; Potter, Hartman, & Ward, 2009; Trouton, Stewart, & Prince, 2006), and increase affective symptoms (Crane, Bogner, Brown, & Gallo, 2007; Pietrzak et al., 2012).

Positive mental health is an important contributor to cognitive health throughout the aging process. Affective symptoms among older adults are associated with cognitive decline over time (Sachs-Ericsson, Joiner, Plant, & Blazer, 2005), MCI risk (Belleville, Fouquet, Duchesne, Collins, & Hudon, 2014; Lopez et al., 2003), as well as vascular dementia and AD development (Diniz, Butters, Albert, Dew, & Reynolds, 2013). However, arguments can be made that depressive and anxiety symptoms exacerbate SCI and, vice versa, that SCI contributes to the development of affective symptomatology.

Considering the potential for SCI to indicate a preclinical MCI/AD stage in some individuals (Jessen et al., 2014), characterizing the co-occurrence and temporality of affective symptoms among individuals with SCI is critically important in order to identify those at risk for objective cognitive decline and intervene appropriately. This systematic review begins to address this need by comprehensively examining the current evidence base regarding the relationships among SCI and affective symptoms, critiquing this evidence according to study quality and relevance to this review, and synthesizing evidence across studies to better explicate potential relationships between SCI, depressive symptoms, anxiety symptoms, and overall mental health in older adults.

Design and Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA; Moher, Liberati, Tetzlaff, Altman, & PRISMA Group, 2009) criteria were used to guide and implement this systematic review and narrative synthesis.

Search Strategy and Selection Criteria

A detailed and systematic literature search was conducted in March 2015 using the PubMed, PsycINFO, and CINAHL databases. Reference lists of identified articles were also examined for additional relevant papers. Search terms were initially identified by the authors, and this list was updated as the search progressed and additional terms were identified. The following search terms were ultimately individually entered into each database: cognitive complaints, cognitive concerns, cognitive difficulties, cognitive failures, memory concerns, memory difficulties, memory failures, perceived forgetfulness, self-reported cognitive impairment, self-reported memory problems, subjective cognitive decline, subjective cognitive dysfunction, subjective cognitive impairment, subjective memory concerns, and subjective memory impairment. Search terms did not include depression, anxiety, or affective symptom descriptors and no date limits were placed in order to capture all articles that were potentially relevant to the goal of this review. Inclusion criteria were as follows: sample or subsample of adults over the age of 50 years with a mean age greater than 55 years; measure of SCI and at least one affective symptom; and publication available in English. Samples could include MCI or AD subgroups for comparison but had to also include a group with SCI only (no objectively measured cognitive deficits). Community-based and clinical samples as well as self and informant SCI report measures were included. Books or book chapters, editorials, literature reviews, and dissertations or theses were excluded.

Five members of the review team conducted independent title, abstract, and full-text reviews in order to determine eligibility. When any doubt or disagreement existed regarding the inclusion of an article, the team discussed the article at an in-person meeting. The information extracted for each study included study purpose, design, operational definition of SCI, instruments, results, and general conclusions relevant to the review aim.

Critical Appraisal

A critical appraisal of the quality and relevance of each included article was conducted using the weight of evidence (WoE) framework (Gough, 2007; Weed, 2005). WoE is a framework that allows researchers to customize the quality and relevance appraisal criteria for a systematic review based upon their specific research question(s) rather than using a generic appraisal that provides evaluative criteria not specific to any particular review. Therefore, WoE criteria will be different for each individual systematic review. In this review, the WoE framework was customized to be used in the evaluation of Methodological Quality (WoE A), Methodological Relevance (WoE B), and Topic Relevance (WoE C). For each of the three categories, a rating of low, medium, or high was assigned in accordance with criteria set forth by the WoE framework (Table 1). Each article was independently evaluated by one of five authors. A subset of 10% of the articles were selected at random for cross-checking by another reviewer based on similar systematic review protocols (e.g., Armstrong, Lauder, & Shepherd, 2015); interrater agreement was 94.4% (agreement on 17/18 WoE ratings). Discrepancies were resolved through discussion among the reviewers to achieve consensus.

Table 1.

Weight of Evidence Framework Applied for Critical Appraisal

High Medium Low
WoE A: Methodological Quality
Not review-specific.
• Generic evaluation of study quality.
• Judgment of coherence and integrity of evidence in study.
Explicit and detailed Methods and Results section for data collection and analysis.
Well-designed and described.
Clear interpretation of findings.
Satisfactory Methods and Results sections. Enough details to determine what was done.
Some design and/or interpretation issues.
Poorly designed or described. Poorly controlled or inadequate power.
WoE B: Methodological Relevance
Review specific.
• Judgment about appropriateness of study design/method to answer the review question.
Aims of study include using SCI to predict affective symptoms or vice versa. Aims of study include using SCI to predict outcomes but not affective symptoms. Incidental findings related to review. Aims of the study or analyses are not relevant to the review.
WoE C: Topic Relevance
Review specific.
• Judgment about the relevance of the study focus to answer the review question.
Adequate measures used for SCI and affective symptoms. Measurement of SCI OR affective symptoms poor. Measurement of SCI AND affective symptoms poor.

Notes: SCI = subjective cognitive impairment; WoE = weight of evidence.

Results

Studies Included in the Review

The PRISMA flow diagram (Figure 1) depicts the search strategy and selection process for this explicit systematic review. The initial search resulted in a total of 6,681 articles for review. After duplicates and articles not meeting selection criteria based on an initial review were removed, a total of 689 records were screened, and 228 full-text articles were reviewed. If a study was considered to be irrelevant to the current review, it was classified as having low relevance and thus excluded; therefore, only high and medium WoE B ratings are included in this review. Figure 1 identifies the rationale for article exclusion. A total of 58 articles were included (Table 2).

Figure 1.

Figure 1.

Study selection flow diagram.

Table 2.

Summary of Articles Included in Review

Reference Study design Sample
Mean age (SD)
n
SCI measures (# items) Affective symptom measures General conclusions WoE A WoE B WoE C
Section 1. Cross-sectional findings without cognitively impaired groups (Articles 1–43)
Balash et al. (2013) #1 Cross-sectional Community-based (Israel)
68 (9.8) years
n = 636
Do you have a sustained memory problem which has progressed over the last year? GDS (Short Form); STAI SCI positively correlated with depression and anxiety, independent from cognitive status. H M M
Bazargan & Barbre (1994) #2 Cross-sectional Community-based (United States)
73.4 (SD NR) years
n = 1,242
Indicated whether poor memory and forgetfulness was: a very serious problem, a somewhat serious problem, or hardly a problem CES-D; Stressful Life Events scale Depression and number of stressful life events were significantly related to SCI. Relationship between SCI and stressful life events remained significant when depression held constant. M M M
Begum et al. (2012) #3 Cross-sectional Primary care patients (United Kingdom)
74.6 (6.9) years
n = 126
GMS (8 items) GDS (Short Form) “Significant” SCI associated with case- level depression. Higher SCI symptom rank (ranked among a list of health- related symptoms and/or disorders) associated with increased depressive symptoms. H M M
Brucki & Nitrini (2009) #4 Cross-sectional Community-based (Brazil)
62.3 (9.16) years
n = 163
Do you have memory problems? Patient Questionnaire of the PRIME-MD SCI associated with high mental symptoms (combined measure of somatic, depressive, and anxiety symptoms). M M M
Cargin et al. (2008) #5 Longitudinal (2.5 years)
Only cross-sectional included
Community-based (Australia)
69.0 (8.0) years
n = 100
CFQ (35 items) STAI; CES-D; GHQ SCI positively correlated with anxiety, depression, and general mental health at baseline. H M H
Castro-Lionard et al. (2011) #6 Longitudinal
Only cross- sectional included
Community-based (France)
72.9 (1.2) years
n = 686
Numeric scale to indicate changes in memory over the last 5 years; CDS (26 items) GAS SCI positively correlated with anxiety at baseline. M M H
Chin et al. (2014) #7 Cross-sectional Memory clinic patients (Korea)
63.3 (7.3) years
n = 108
MMQ-A (57 items) GDS (Short Form) SCI negatively correlated with depression; Note: indicates a correlation between higher SCI and higher depression due to coding of the depression measure. H H H
Clarnette et al. (2001) #8 Cross-sectional Memory clinic patients (Australia)
Cases: 62.6 (SD NR) years
Controls: 62.2 (SD NR) years
Cases: n = 97
Controls: n = 38
Subject complaint of memory difficulties CAMDEX SCI group was more likely than the non-SCI group to report depression and anxiety symptoms. M H L
Derouesné et. al. (1989) #9 Cross-sectional Community-based (France)
62.9 (8.2) years
n = 367
Subject memory disturbances rated as absent, minor, major; SMS (8 items) SDS Individuals with higher SCI ratings had higher depression and anxiety scores than those with minor SCI ratings. L H H
Derouesné et al. (1999) #10 Cross-sectional Memory clinic patients (France)
61.1 (7.6) years
n = 183
Subject memory disturbances rated as absent, minor, major; SMS (8 items) SDS Participants with only minor SCI had lower depression and anxiety scores compared with those with major SCI. SCI positively correlated with depression and anxiety. M H H
Dufouil et al. (2005) #11 Cross-sectional Community-based (France)
68.9 (3.0) years
n = 733
CDS (39 items) CES-D Those with higher SCI scores were more likely to have higher levels of depressive symptoms. M M H
Fischer et al. (2008) #12 Cross-sectional Hospital outpatients (Canada)
64.3 (13.0) years
n = 36
PAOF (36 items) GDS; clinical interview Depressed individuals had higher scores on total SCI and all subscales of the SCI measure. M H H
Gagnon et al. (1994) #13 Cross-sectional Community-based (France)
74.8 (6.9) years
n = 2,726
Subjects indicated whether they had problems in memorizing new simple information CES-D Depression indicated greater odds of reporting participants had problems with memorizing new information. M H M
Genziani et al. (2013) #14 Cross-sectional Community-based (France)
74.3 ( SD NR)
n = 9,294
Subjects indicated whether they had habitual forgetfulness and/or difficulty remembering new information CES-D Participants with SCI were significantly more likely to meet the cutoff score for depression. H M M
Grambaite et al. (2013) #15 Cross-sectional Memory clinic patients (Norway)
58.8 (7.2) years
n = 23
SCL-90 (2 items) SCL-90; GDS Higher depression associated with higher SCI. M H M
Harwood et al. (1999) #16 Cross-sectional Community-based (United States)
75.2 (7.5) years
n = 506
MQ (12 items) HAM-D An increased risk for depression was associated with a higher SCI score. M M H
Hohman et al. (2011) #17 Cross-sectional Community-based (United States)
75.4 (7.8) years
n = 105
CFQ (25 items) CES-D Higher depression indicated higher SCI. H H H
Hollands et al. (2015) #18 Cross-sectional Community-based (Australia)
70.9 (6.6) years
n = 289
MAC-Q (6 items) HADS Higher depression and higher anxiety were related to higher SCI. H H H
Jessen et al. (2007) #19 Cross-sectional Primary care patients (Germany)
80.1 (3.5) years
n = 2,389
Do you feel like your memory is becoming worse?; SMDS (5 items) GDS Participants reporting SCI and frequent impairment for individual tasks had higher depression scores than both those with no memory problems and those with SCI but mostly no impairment for individual tasks. H M H
Jungwirth et al. (2004) #20 Cross-sectional Community-based (Austria)
75 years (all participants)
n = 302
Investigator-designed 5-item assessment HAM-D; GDS (Short Form); STAI SCI was significantly correlated with severity of depression and anxiety. H M M
Laganà & Sosa (2004) #21 Cross-sectional Community-based (United States)
Median = 71 years (mean, SD NR)
n = 216
CFQ (25 items) SELFCARE-D SCI was positively related to greater levels of depression symptoms. M H H
Laganà et al. (2011) #22 Cross-sectional Community-based (United States)
70.2 (SD NR) years
n = 78
CFQ (25 items) SELFCARE-D SCI and depressive symptomatology were significantly correlated. M M H
Langlois & Belleville (2014) #23 Cross-sectional Community-based (Canada)
67.6 (8.9) years
n = 115
QAM (3 items) GDS (Short Form) Higher depression scores were correlated with higher levels of SCI related to memory failures with consequence. No significant correlations were found between depression and other SCI components measured. H M M
Minett et al. (2005) #24 Cross-sectional Memory clinic patients and community-based (Brazil)
72.6 (4.7) years
n = 60
MAC-Q (6 items) GDS; clinical interview Depression scores were the strongest predictor of SCI. SCI and depression scores were significantly correlated. M M H
Minett et al. (2008) #25 Cross-sectional Community-based (Brazil)
SCI: 67.1 (SD NR) years
Non-SCI: 65.9 (SD NR) years
n = 114
Do you currently have any problems with your memory?
Are these problems interfering with your normal life? (2 items)
GDS Depression scores were significantly higher in those with SCI than those without SCI. M M H
Mol et al. (2008) #26 Cross-sectional Community-based (Netherlands)
72.0 (7.5) years
n = 300
Do you consider yourself to be forgetful? SCL-90; MIA SCI was positively correlated with depression and memory-related anxiety. H M M
Montejo et al. (2014) #27 Cross-sectional Community-based (Spain)
71.5 (5.0) years
n = 269
MFE (28 items); CAMDEX (3 items) GDS Predictors of SCI in decreasing order of effect size: subjective health perception, depression, and objective daily memory performance. H H H
Moraitou & Efklides (2009) #28 Cross-sectional Community-based (Greece)
70.3 (5.1) years
n = 244
CFQ (25 items); BIMQ (9 items) PANAS In the older adult group, SCI was positively correlated with negative affect. M M M
O’Boyle et al. (1990) #29 Cross-sectional Geropsychiatric patients (United States)
68.5 (5.8) years
n = 33
Ratings of cognitive difficulties in three categories (24 items) BDI SCI was positively correlated with depression scores. L M M
Rami et al. (2014) #30 Cross-sectional Community-based and memory clinic (Spain)
56.8 (10.4) to 74.5 (8.8) years (total mean, SD NR)
n = 794
SCD-Q (24 items) GDS; HADS SCI was positively correlated with depression and anxiety. H H H
Rouch et al. (2008) #31 Cross-sectional Community-based (France)
62 to 68 years (mean, SD NR)
n = 937
CDS (Short Form; 26 items) QD2A; GAS Greater depression and anxiety scores were positively associated with higher SCI. H M H
Scogin & Rohling (1989) #32 Cross-sectional Community-based (United States)
60 to 88 years (mean, SD NR)
n = 55
CFQ (25 items); MFQ (51 items) SCL-90 Self-rated mental health was significantly associated with self-rated SCI. Informant-rated SCI did not share this association but was associated with cognitive performance. M M H
Slavin et al. (2010) #33 Cross-sectional Community-based (Australia)
78.6 (4.8) years
n = 827
MAC-Q (24 items); IQCODE (19 items) GDS; GAS SCI was positively correlated with depression and anxiety scores. Groups with high depression or high anxiety scores reported a higher level of SCI when compared with groups with low depression or low anxiety scores. H M H
Smart et al. (2014) #34 Cross-sectional Community-based (Canada)
Controls: 69.6 (3.7) years
SCI: 69.5 (2.4) years
n = 40
Are you concerned or worried that you are experiencing significant decline in your thinking abilities, more than just normal aging? GDS; AMAS SCI group had higher depression and anxiety scores when compared with the control group. Despite these differences, neither depression nor anxiety scores reached clinical significance. H M M
Snitz et al. (2015) #35 Cross-sectional Community-based (United States)
81.2 (8.4) years
n = 92
MFQ (64 items); CFQ (25 items); SCCS (24 items) GDS Depressive symptoms were positively correlated with almost all aspects of SCI measured. H M H
Stewart et al. 2001 #36 Cross-sectional Community-based (United Kingdom)
55 to 70 (mean, SD NR) years
n = 290
GMS (# items NR) GDS (Short Form) Depression was particularly strongly associated with SCI. H M H
Studer et al. (2014) #37 Cross-sectional Memory clinic patients (Switzerland)
Controls: 66.2 (7.2) years
MCI: 70.5 (8.7) years
n = 139
QPC (10 items) HADS Depressive affect was positively related to SCI. H M H
Umegaki et al. (2013) #38 Cross-sectional Community-based (Japan)
75.1 (6.2) years
n = 3,814
Investigator-designed 3-item assessment Investigator- designed 5-item assessment Depression was associated with SCI overall and specifically with self- reported ability to use the telephone. M M L
Verhaeghen et al. (2000) #39 Cross-sectional Community-based (Netherlands)
70.1 (7.7) years
n = 179
MIA (59 items) Anxiety about dementia, 5-point scale Greater SCI associated with greater anxiety about dementia. M H M
Wolf et al. (2005) #40 Cross-sectional Community-based (United States)
61.8 (SD NR) years
n = 42
Global Deterioration Scale (structured clinical assessment); MAC-Q (6 items) HAM-D Presence of SCI was associated with higher depression scores. M M H
Zeintl et al. (2006) #41 Cross-sectional Community-based (Switzerland)
73.0 (4.4) years
n = 364
PRMQ (8 items) GDS (Short Form) Prospective memory high complainers had higher depression scores than low complainers. Participants who reported more prospective memory failures also tended to report more depressive symptoms and a poorer memory capacity. M M H
Zhang et al. (2012) #42 Cross-sectional Memory clinic patients (China)
70.0 (9.0) to 75.0 (6.0) (total mean, SD NR) years
n = 157
Subject complaint of memory difficulties for 6 months or more NPI Clinically significant depression was more common in the SCI than in the normal control group. In the SCI group, depression was one of the most common neuropsychiatric symptoms. The frequency of depression was higher in the SCI group than in the control group. H M M
Zlatar et al. (2014) #43 Cross-sectional Community-based (United States)
77.3 (12.2) years
n = 1,000
CFQ (25 items) PHQ-9 Higher SCI scores were associated with lower mental health composite scores. H M H
Section 2. Cross-sectional findings with cognitively impaired groups (Articles 44–49)
Almkvist & Tallberg (2009) #44 Cross-sectional Memory clinic patients (Sweden)
60.5 (6.3) years
n = 112
Subject and informant report of cognitive impairment CDI SCI group had higher depression scores than MCI or AD groups. H M M
Gallassi et al. (2008) #45 Cross-sectional Primary care patients (Spain)
67.4 (10.4) years
n = 92
MAC-Q (# items NR) STAI; BDI No significant difference in depression and anxiety scores between SCI and MCI groups. M H H
Kim et al. (2003) #46 Cross-sectional Community-based (South Korea)
72.6 (6.0) years
n = 1,204
GMS (10 items) GMS Participants with SCI without cognitive impairment were less likely to have depression associated with SCI when compared with those with mild to severe cognitive impairment. H M M
Lehrner et al. (2014) #47 Cross-sectional Memory clinic patients (Austria)
66.4 (9.2) years
n = 581
FAI (16 items) BDI Participants with SCI, nonamnestic MCI, and amnestic MCI had significantly more depressive symptomatology than a cognitively healthy control group; however, there were no significant differences in depressive symptomatology among those with SCI, nonamnestic MCI, and amnestic MCI. H H H
Lehrner et al. (2015) #48 Cross-sectional Memory clinic patients (Austria)
Median = 67 years (mean, SD NR)
n = 967
FAI (16 items) BDI The control group had significantly less depressive symptoms when compared with those with SCI, nonamnestic MCI, amnestic MCI, AD, and PD. H M H
Sinforiani et al. (2007) #49 Cross-sectional Memory clinic patients (Italy)
71.6 (3.0) years
n = 75
Subject complaint of memory disturbances in absence of impairment of everyday activities BDI; STAI Compared with patients with MCI, patients with SCI presented with significantly higher depression and anxiety scores. M H M
Section 3. Longitudinal findings without cognitively impaired groups (Articles 50–55)
Heun & Hein (2005) #50 Longitudinal (2–10 years) Community-based (Germany)
61.0 (16.0) years
n = 1,431
Clinical interview Clinical interview SCI predicted greater risk of developing depression 4 years later. M H M
Mol et al. (2009) #51 Longitudinal (9 years) Community-based (Netherlands)
65.8 (7.4) years
n = 412
Do you consider yourself to be forgetful? SCL-90 SCI was positively associated with depression and anxiety at baseline. Difference in anxiety between SCI and non-SCI groups at baseline increased by 0.1 point per year. H H M
Potvin et al. (2013) #52 Longitudinal (10 years) Community-based (France)
65+ years (mean, SD NR)
n = 4,649
Cognitive complaints related to six categories (6 items) CES-D SCI was associated with incident depressive symptomatology but not with longitudinal recurrent depressive symptomatology. SCI was associated with a 10-year risk of incident depressive symptomatology above and beyond the effects of trait anxiety. M H M
Singh-Manoux et al. (2014) #53 Longitudinal (10 years) Community-based (France)
57.9 (3.5) years
n = 15,510
Presence of memory complaint; investigatory- designed checklist of six cognitive symptoms (8 items) CES-D The prevalence of depression in those with SCI was approximately double that in those without SCI. All aspects of SCI measured were associated with depression. H H M
Tobiansky et al. (1995) #54 Longitudinal (2 years) Community-based (United Kingdom)
74.6 (6.6) years
n = 524
Short-CARE (9 items) Short-CARE At both time points there was a positive association between SCI and depression. Participants with SCI were more likely to be suffering from depression than those without SCI. When followed over a 2-year period, participants with SCI were found to be at twofold greater risk of developing depression compared with those without SCI. H H M
Zimprich et al. (2003) #55 Longitudinal (4 years) Community-based (Switzerland)
62.9 (0.9) years
n = 427
NSL (6 items) SDS Cross-sectionally, poorer memory predicted higher depression and higher depression in turn predicted higher SCI (objective memory was not related to SCI except through depression). Longitudinally, greater change in depression was related to greater change in SCI over time (some greater increases in depression, greater increases in SCI, and vice versa). H M H
Section 4. Longitudinal findings with cognitively impaired groups (Articles 56–58)
Caselli et al. (2014) #56 Longitudinal (3 years) Community-based (United States)
59.0 (7.4) years
n = 447
MANS (87 items) BDI; GDS; HAM-D Both self- and informant-reported SCI positively correlated with depression, anxiety, and stress. Among those who developed MCI, self-reported SCI preceded informant-rated SCI on average. H M H
Elfgren et al. (2010) #57 Longitudinal (3 years) Memory clinic patients (Sweden)
59.6 (8.2) years
n = 59
Subject complaint of memory difficulties MADRS Patients with SCI had higher anxiety compared with those with MCI. Prevalence of anxiety symptoms in the SCI group decreased over 3-year follow-up. L M M
Vestberg et al. (2010) #58 Longitudinal (1 year) Memory clinic patients (Sweden)
57.5 (7.5) years
n = 58
Clinical interview HADS At baseline, no differences were found between the SCI and cognitively impaired groups regarding self-reported cognitive deficits, self-reported worry about deficits, or symptoms of anxiety or depression. A considerable portion of those with SCI scored above the cutoff score for both anxiety and depression at baseline as well as at follow-up. In the SCI group, there were no significant changes regarding symptoms of anxiety and depression from baseline to follow-up. H M M

Notes: AD = Alzheimer’s disease; AMAS = Adult Manifest Anxiety Scale; BDI = Beck Depression Inventory; BIMQ = Blank in the Mind Questionnaire; CAMDEX = Cambridge University Structured Clinical Interview (3 items); CDI = Cornell Depression Index; CDS = Cognitive Difficulties Scale; CES-D = Center for Epidemiological Studies-Depression scale; CFQ = Cognitive Failures Questionnaire; FAI = Forgetfulness Assessment Inventory; GAS = Goldberg’s Anxiety Scale; GDS = Geriatric Depression Scale; GHQ = General Health Questionnaire; GMS = Geriatric Mental State schedule; HADS = Hospital Anxiety and Depression Scale; HAM-D = Hamilton Depression Rating Scale; IQCODE = modified short Informant Questionnaire on Cognitive Decline in the Elderly; MAC-Q = Memory Assessment Clinics Questionnaire; MADRS = Montgomery-Asberg Depression Scale; MANS = Multidimensional Assessment of Neurodegenerative Symptoms questionnaire; MCI = mild cognitive impairment; MFE = Memory Failures of Everyday questionnaire; MFQ = Memory Functioning Questionnaire; MIA = Metamemory in Adulthood; MMQ-A = Modified Multifactorial Memory Questionnaire; MQ = Memory Questionnaire; NPI = Neuropsychiatric Inventory; NR = not reported; NSL = Nuremberg Self-Assessment List (6 items); PANAS = Positive and Negative Affect Schedule; PAOF = Personal Assessment of Own Function; PD = Parkinson’s disease; PHQ-9 = 9-item Patient Health Questionnaire; PRIME-MD = Patient Questionnaire of the Primary Care Evaluation of Mental Disorders; PRMQ = Prospective and Retrospective Memory Questionnaire; QAM = Questionnaire d’auto-évaluation de la mémoiree; QD2A = Questionnaire d’autoévaluation de la symptomatologie depressive; QPC = Cognitive Complaint Questionnaire; SCCS = 24-item Subjective Cognitive Complaints Scale; SCD-Q = Subjective Cognitive Decline Questionnaire; SCI = subjective cognitive impairment; SCL-90 = Symptom Checklist-90-R; SD = standard deviation; SDS = 20-item Self-Rating Depression Scale; short-CARE = subjective memory impairment scale from the shortened version of the Comprehensive Assessment and Referral Evaluation; SMDS = Subjective Memory Decline Scale (4 items); SMS = Subjective Memory Scale; STAI = Spielberger State-Trait Anxiety Inventory; WoE = weight of evidence.

Forty-seven studies were cross-sectional and 11 longitudinal, although 2 of the longitudinal studies only had cross-sectional results relevant to this review (thus they were grouped with cross-sectional studies in our narrative synthesis). Sample sizes ranged from 23 participants (Study 15) to over 15,000 participants (Study 53). Study settings varied; 42 incorporated participants recruited from nearby communities and 16 comprised clinical samples recruited from memory clinics, primary care providers, hospitals, or outpatient clinics. There was also a large international representation of studies; only 11 studies were conducted in the United States.

Affective symptoms were assessed in all 58 of the studies reviewed, including depressive symptoms (n = 52), anxiety symptoms (n = 20), and general mental health (such as life stress, tendency to experience negative affect, and general mental health assessments nonspecific to depression or anxiety; n = 4). As a measure of affective symptoms, 31% (n = 18) of the studies used the Geriatric Depression Scale, 12% (n = 7) used the Center for Epidemiological Studies-Depression scale, 10% (n = 6) used the Beck Depression Inventory, 9% (n = 5) used the State-Trait Anxiety Inventory, and additional measures were used less frequently (e.g., Hamilton Depression Rating Scale). Fourteen of the studies (24%) used a 1-item measure of SCI and the remaining studies used checklist or multi-item measures that included between 2 (Grambaite et al., 2013) and 87 (Caselli et al., 2014) items to assess SCI. There were no consistent trends demonstrated in the strength of the relationships between SCI and affective symptoms based on the number of items in the SCI measures. All 58 of the studies incorporated self-report assessments of SCI and 2 of these also incorporated informant reports of SCI. Due to the low number of informant-reported SCI measures, we collapsed across the two types of reports for this review.

Methodological Quality of Reviewed Studies

Of the 58 studies evaluated, more than half (n = 31) were rated as being of high methodological quality (WoE A), 24 studies were classified in the medium spectrum, and only 3 were considered to be of low methodological quality because of ambiguous or unclear methodological descriptions or poor study design (Table 1). Regarding methodological relevance (WoE B), all 58 reviewed studies met the criteria for high (n = 21) or medium (n = 37) methodological relevance (WoE B). Studies classified as being of medium relevance often failed to achieve the highest ratings because the associations between SCI and affective symptoms were not the central focus of the study but included affective measures (of relevance to the current review) as a covariate. Lastly, over 50% of the studies (n = 31) were rated as high topic relevance (WoE C), as both measures of SCI and affective symptoms were deemed appropriate. Twenty-five of the studies were rated as medium topic relevance due to the weak measurement of either SCI or affective symptoms. Two studies were rated as low topic relevance because both measures of SCI and affective symptoms were deemed to be weak. Most commonly in this case, constructs were measured through one or few items from invalidated measures.

Results of Reviewed Studies

The following synthesis of study findings is categorized by sample characteristics as well as study design. Cross-sectional and longitudinal studies are reviewed separately, and these are further divided based on the presence or absence of comparative groups of cognitively impaired participants (i.e., formally assessed cognitive impairment, MCI, or AD). It is important to note that individuals with MCI also have SCI (self- or informant-reported) as part of MCI’s diagnostic criteria (Albert et al., 2011). However, self-awareness of cognitive impairment is highly variable in AD, including in its early stages (Leicht, Berwig, & Gertz, 2010; Orfei et al., 2010); therefore, individuals with AD in the included studies did not necessarily have SCI or had varying levels of SCI depending on study instrumentation. For the purposes of this review, inclusion of MCI or AD groups was used as an additional point of comparison with SCI groups (individuals with no objectively measured cognitive impairment). All studies are identified by their corresponding numbers in Table 2.

Cross-Sectional Findings Without Cognitively Impaired Groups

In cross-sectional studies, SCI was consistently associated with greater depressive symptoms, more anxiety, and poorer mental health among older adults without clinically assessed cognitive impairment (Studies 1, 2, 5–7, 10–13, 15–18, 20–24, 26–33, 35–39, 43), including comparisons between groups with and without SCI (Studies 4, 8, 14, 25, 34, 40, 42) and degree of SCI symptoms (e.g., self-ratings of minor or major memory disturbances; Studies 3, 9, 41; Table 2, Section 1). Although the nature of cross-sectional study designs cannot support conclusions regarding temporality of symptoms, several studies examined more nuanced aspects of SCI or affective symptoms that help to further our understanding of their co-occurrence. For example, Jessen and colleagues (2007) identified three groups of participants: no report of memory problems, general report of memory problems but little to no impairment in specific memory tasks (e.g., recalling a name of someone they met), and general report of memory problems along with self-reported frequent impairment in memory tasks. Participants in the third group, who self-identified as having SCI as well as frequent problems in specific areas such as recalling recent conversations, had significantly higher depression scores than both of the other groups. Langlois and Belleville (2014) found that depression scores were positively associated with memory problems with consequence, such as forgetting to take a medication or forgetting an appointment, but not with other aspects of SCI that were measured (e.g., remembering personal events).

Verhaeghen, Geraerts, and Marcoen (2000) examined the relationship between SCI and anxiety specifically about developing dementia. They found that higher perceptions of memory problems may lead to increased memory-related anxiety, which may further lead to an increase in perceived seriousness of memory problems. The level of concern related to memory problems influenced participants’ coping, suggesting self-appraisal of SCI concerns may be an important determinant of their influence on an individual. It was this interplay of complaints, appraisal of complaints, and coping with complaints that influenced anxiety, as the authors state: “…our analysis suggests that memory complaints in older age may not be innocuous, transient, and inconsequential as they sometimes seem to the practitioner. Rather, they might be quite central to mental health in older age and may well cause dysphoric symptoms and lack of zest in life” (p. 545). Indeed, one study found that when asked to rank a list of health-related symptoms in terms of their perceived level of importance, individuals who ranked SCI symptoms as highly important also had higher levels of depressive symptoms (Study 3).

Cross-Sectional Findings Including Cognitively Impaired Groups

Several cross-sectional studies (n = 5) compared affective symptoms between SCI and cognitively impaired groups (MCI or AD), with decidedly mixed results (Table 2, Section 2). Findings ranged from no differences in depression and anxiety scores between SCI and MCI groups (Studies 45, 47), higher depression and anxiety scores in SCI groups compared with MCI or AD groups (Studies 44, 49), and lower likelihood of depression in those with SCI compared with individuals with mild to severe cognitive impairment (Study 46). One distinction that can be made among these studies is differences in the approach to measuring SCI. Two studies that found higher affective symptom scores in SCI groups compared with MCI/AD groups (Studies 44, 49) used a largely unspecified categorization of SCI such as subject report of cognitive impairment, compared with established multi-item assessments in the other studies. Study samples also represented multiple populations including memory clinic patients, primary care patients, and a community-based sample, differences that affected the characterization of MCI and AD groups. One study with the highest WoE ratings in all categories (Study 47) found that depressive symptomatology was the same among SCI and MCI groups, but higher compared with a non-SCI group, which is consistent with the findings previously reviewed.

Longitudinal Findings Without Cognitively Impaired Groups

Nine of the reviewed studies (Studies 50–58) included longitudinal assessments relevant to the goal of this review, the majority of which (n = 6) did not include comparisons between SCI and cognitively impaired groups (Table 2, Section 3). In most cases, the presence of SCI at baseline was associated with depressive symptoms over time, including a greater risk of developing depression when measured at 2-year (Study 54), 4-year (Study 50), and 10-year (Studies 52, 53) follow-up periods. For instance, the results reported by Singh-Manoux and colleagues (2014), a study with high WoE ratings in all categories, included a dose–response relationship between a higher degree of SCI (in this case, number of cognitive complaints) and an increased risk of depression over a 10-year period. Another study followed SCI and non-SCI groups for 9 years, and although the SCI group had higher depression scores at baseline, there was no increase in these differences between groups over time (Study 51). However, SCI was positively associated with anxiety at baseline, as well as an increase in anxiety symptoms over time in the SCI compared with non-SCI group.

Longitudinal Findings Including Cognitively Impaired Groups

Three studies (Studies 56–58) examined differences between affective symptoms in SCI and cognitively impaired groups over time (Table 2, Section 4). In one study conducted over a 1-year period, there were no differences in depressive or anxiety symptoms at baseline between SCI and cognitively impaired groups, and no change in symptoms in the SCI group at follow-up (Study 58). However, about half of participants reported less worry about their perceived deficits after 1 year. This decline in worry was attributed to a memory clinic visit that occurred subsequent to the baseline assessments; this visit likely put participants at ease regarding their dementia status. One study compared an SCI group with an MCI group over a 3-year period (Study 57). Higher baseline anxiety and psychosocial stress scores were found in the SCI group, but the prevalence of these symptoms decreased substantially over time. As in the previous study, reassurance provided by health care providers at the memory clinic may have played a role in these findings. Caselli and colleagues (2014) examined self and informant reports of SCI and their association with conversion to MCI (Study 56). Both self- and informant-reported SCI were associated with depressive and anxiety symptoms.

Implications

Affective symptoms such as depressive or anxiety symptoms may commonly co-occur with SCI, but how these develop within individuals is likely complex. Although older adults with affective symptoms experience SCI more commonly than those without SCI, prevalence estimates for depression and anxiety in community-dwelling elders range from 1% to 5% and 3% to 14%, respectively (Fiske, Wetherell, & Gatz, 2009; Wolitzky-Taylor, Castriotta, Lenze, Stanley, & Craske, 2010), compared with the much more common experience of SCI (Reid & Maclullich, 2006). When SCI is perceived to have a negative impact on important aspects of daily life, the influence on the development or exacerbation of depressive symptoms may be greater. Similarly, anxiety appears to be closely tied to the potential loss of function related to impaired cognition. SCI was associated with memory- or dementia-related anxiety in this review, so there is a need to distinguish between generalized anxiety and anxiety specific to the potential meaning of perceived cognitive change (namely, future development of dementia). Our review found that when concerns are allayed through medical intervention, anxiety and SCI are less closely related.

Temporality of SCI and Affective Symptoms

Evidence from longitudinal studies indicates an increased risk of depression among individuals with SCI, but additional work is needed to understand the temporal relationships among these variables. Impaired concentration, motivation, and energy associated with depressive symptoms may influence cognitive performance and consequently contribute to a person’s perception of their cognitive status (Cargin, Collie, Masters, & Maruff, 2008). Alternatively, perceiving a decline in memory may have detrimental effects on psychological and emotional well-being among older adults, for whom fears of declining autonomy are common (Quine & Morrell, 2007). We found that there is insufficient evidence to conclude that older adults with SCI have more depressive symptoms than those with objectively assessed cognitive impairment, such as MCI or AD. This is an important finding because cognitive complaints in the absence of objective cognitive decline are often attributed to depression in clinical settings (Bortolato, Carvalho, & McIntyre, 2014). Overall, current evidence consistently supports associations between SCI and depressive symptoms as well as SCI and anxiety symptoms across studies, but little is known regarding the timing of these relationships.

Gaining a better understanding of the dynamic interplay between SCI and affective symptoms over time will undoubtedly help inform inventions and clinical recommendations. For instance, if SCI consistently precedes the clinical expression of anxiety and depressive symptoms, then interventions designed to improve cognitive competencies or reduce fears associated with cognitive aging may help to promote mental health and wellness of an aging population. Conversely, if anxiety and depressive symptoms tend to precede cognitive complaints, treatment efforts focused on reducing affective disorders may be more appropriate; not addressing these underlying issues may limit the effectiveness of any treatment programs intended to help promote cognition in later adulthood. Another possibility is that SCI and affective symptomology may be a result of common risk factors or underlying neurodegenerative processes and clinically manifest at the same time, thus intervention would involve simultaneously addressing both modifiable targets for improving the outcomes of cognitive health. Unfortunately, few studies have examined the temporality of SCI and affect; thus, we were unable to explore which approach to clinical intervention would result in the most effective outcome in the present study. However, because our findings suggest that cognitive concerns could be partially alleviated through medical intervention, a low-cost, potentially impactful solution would be to increase communication between clinical providers and older individuals regarding cognitive health. In this respect, individuals would be more informed of normative age-related decline and, perhaps, have less worry and fear regarding their cognitive capabilities. The limited work in clinical settings offers important future directions for the implementation and evaluation of cognitive interventions.

SCI Measurement

An important consideration in the current evidence regarding SCI and affective symptoms is the lack of consistency in SCI assessment, making it difficult to compare findings across studies (Abdulrab & Heun, 2008; Jessen et al., 2014). SCI measures in this review ranged from single-item yes/no responses, to investigator-developed instruments, to established batteries of self-reported cognitive complaints. Frequently, SCI measures require recall of cognition over long periods of time (e.g., years); however, this too varies across assessments. Retrospective accounts over lengthy intervals lead to bias in responses as individuals will rely on generalizations about cognition rather than specific instances of recent performance (Cavanaugh, Feldman, & Hertzog, 1998). For example, individuals may focus on the experiences related to cognition that were emotionally intense (e.g., forgetting a medication that led to medical complications) but occurred months or years earlier. Alternatively, an individual who has not noticed cognitive issues may use age-based stereotypes or peer group comparisons to classify their current functioning rather than their own experiences (e.g., “Older people lose their memory and I am getting older, therefore my memory must be declining” or “My memory is worse than Joe’s and he’s older than I am”). Finally, the role of self-efficacy related to cognition and beliefs about cognition (i.e., metacognition) in responding to questions is unclear. The extent to which each of these sources of information influences answering questions about cognition is problematic as it likely varies across individuals and will depend on other factors including affective symptoms. Development of comprehensive measures that lessen the impact of such biases is needed.

Available assessments represent a mix of capacity and concern measurements that could explain the strong and consistent associations with affective symptoms. More dynamic and focused tools for the measurement of SCI would allow researchers to better understand the implications of self-rated cognitive problems for older adults. It is critical for future SCI research to employ instrumentation well suited to the research questions at hand. The Subjective Cognitive Decline Initiative (SCD-I) Working Group proposed a framework for future research examining symptomatic indicators of preclinical AD (Jessen et al., 2014). In this framework, core features of subjective cognitive decline, specifically, are proposed including: self-experienced persistent decline in cognitive capacity in comparison with a previously normal status and unrelated to an acute event; normal age-, gender-, and education-adjusted performance on standardized cognitive tests; and the absence of MCI, AD, or a psychiatric, neurologic, or medical condition that could be attributed to the symptoms. The SCD framework explicitly states, “Individual symptoms of depression or anxiety, which do not reach the threshold of a disorder, are not considered exclusion criteria” (p. 847).

Moreover, SCI assessments were completed by participants, and less commonly informants, across studies. Both self- and informant-reported SCI positively correlated with depressive and anxiety symptoms, but among those who developed MCI, self-reported SCI preceded informant-rated SCI on average (Caselli et al., 2014). Self-rated mental health was significantly associated with self-rated SCI; informant-rated SCI did not share this association but was associated with objectively assessed cognitive performance (Scogin & Rohling, 1989). Therefore, it is important for future research to consider the meaning of self- versus informant-reported SCI as it relates to a potential preclinical AD indicator versus a component of affective symptomatology. It has been shown that there is variability in awareness of cognitive impairment among individuals at similar AD stages (i.e., mild to moderate impairment; Leicht et al., 2010; Orfei et al., 2010; Ownsworth, Clare, & Morris, 2006). Among individuals with MCI, self-reports of cognitive problems may relate more to affective symptoms, whereas informant reports may more reliably indicate objective cognitive decline (Edmonds et al., 2014). In all likelihood, differences in awareness are represented among those with SCI as well, if in fact subtle cognitive change is present.

Affective Symptom Measurement and SCI

Relatedly, an additional consideration is that self-reported measures of affective symptoms were predominately used in the studies included in our review (e.g., the Geriatric Depression Scale). Although these measures generally have satisfactory psychometric properties and are widely used screening tools for symptoms of depression and anxiety in community-dwelling older adults (e.g., Nyunt, Fones, Niti, & Ng, 2009), they are not without limitations. Self-reported measures may not capture atypical dimensions or less common manifestations of depression and anxiety (Uher et al., 2012); the item content of one established measure may weigh the intensity and frequency of affective symptoms differently than another; demographic, cognitive, and personality variables may contribute to the underreporting or overreporting of affective symptom severity (Carter, Frampton, Mulder, Luty, & Joyce, 2010); certain symptoms may be more suitable for clinical observation (Cuijpers, Li, Hofmann, & Andersson, 2010; Uher et al., 2008); and affective symptoms may express themselves differently in an older population. Furthermore, affective symptoms may manifest as memory or cognitive problems. For example, the Geriatric Depression Scale includes a memory-related item (“Do you feel you have more problems with memory than most people?”). As evidence from our review indicates (Verhaeghen, Geraerts, & Marcoen, 2000), individuals can also have anxiety related to perceived memory problems. The potential for overlap between the measurement of affective symptoms and SCI, then, can lead to measurement difficulties and, consequently, measurement limitations. Multimodal assessment, specifically the simultaneous use of self-reported measures and clinician ratings or observation (Enns, Larsen, & Cox, 2000; Uher et al., 2012), may therefore produce a more comprehensive assessment of affective symptoms that, in turn, could lead to a more precise examination of relationships with SCI.

Limitations and Future Research

An important limitation of the current review is that the final sample of articles included studies with community-based samples as well as those from clinical settings. Inclusion of samples from places such as memory clinics may have increased the likelihood of finding a consistent association among SCI and affective symptoms. Individuals who were experiencing significant concerns over their cognition (enough to seek professional assistance) likely have higher affective symptoms related to other areas as well. However, these articles made up only a small portion of those reviewed and conclusions would remain the same if these studies were excluded. Future work should investigate whether the strength of the association depends on the recruitment source as this could be another opportunity for understanding the interplay among cognitive concerns, capacity impairments, and affective symptoms. A second limitation is the lack of longitudinal work on the temporal relationships making it impossible to disentangle the development of SCI and affective disturbances using the current literature. The temporal relationship of SCI and affective symptoms likely varies across individuals with some developing SCI first and reacting with changes in affect (e.g., increased worry about cognition), whereas others develop affective symptoms first that in turn affect perceptions of cognition and performance on daily tasks. Future research should incorporate longitudinal follow-up of participants to account for these temporal relationships and identify which trajectories of development place individuals at greater risk for negative outcomes (e.g., diagnosis of MCI).

The findings of this review are also important to consider within current perspectives of preclinical dementia, including the placement of SCI as the first step on the trajectory leading to MCI and subsequently AD (Jessen et al., 2014). The National Institute on Aging and the Alzheimer’s Association (NIA-AA) workgroup proposed definitions of preclinical AD stages based on neuropsychological and biomarker evidence to be used in research (Sperling et al., 2011). However, the NIA-AA report also highlights limitations in the current science, including the lack of an established link between specific biomarkers and the subsequent emergence of clinical symptoms, as well as the need for longitudinal research capitalizing on the promise of examining subjective cognition and its relationship to AD risk. Affective symptoms, particularly depressive symptoms, are known risk factors for AD (Chen et al., 2014). Our review suggests that the interplay of SCI and affective symptoms in the preclinical stage of AD is complex, not well understood, and may be a critical component in understanding the symptomatology of preclinical AD. Further research untangling the complexities of these relationships would further our understanding of the trajectory of AD development and opportunities for targeted interventions.

Conclusion

Investigations of the correlates of SCI constitute a critical area of research that is growing rapidly. Individuals may be able to alert health care providers to early changes in their cognition that, although undetectable using objective measures, do impair or significantly alter functioning. Understanding how these reported impairments may stem from other underlying conditions, including those that lead to broader impairments in addition to cognition (e.g., depression or anxiety), will aid in the development of person-centered protocols and interventions. Furthermore, identification of subtle but troubling changes in cognition would enable earlier intervention delivery and uptake for individuals who might otherwise continue to experience cognitive decline. This review demonstrates that affective symptoms are important to consider when examining associations between SCI and other constructs, but further work is necessary to disentangle the complexities of these relationships.

Funding

Manuscript preparation was supported by the National Hartford Centers of Gerontological Nursing Excellence Claire M. Fagin Fellow Award Program to N. Hill. This work was also supported by the National Institute on Aging of the National Institutes of Health (F31AG050385) to N. DePasquale. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

  1. Abdulrab K., & Heun R (2008). Subjective memory impairment. A review of its definitions indicates the need for a comprehensive set of standardised and validated criteria. European Psychiatry, 23, 321–330. doi:10.1016/j.eurpsy.2008.02.004 [DOI] [PubMed] [Google Scholar]
  2. Albert M. S. DeKosky S. T. Dickson D. Dubois B. Feldman H. H. Fox N. C., … Phelps C. H (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7, 270–279. doi:10.1016/j.jalz.2011.03.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Almkvist O., & Tallberg I. M (2009). Cognitive decline from estimated premorbid status predicts neurodegeneration in Alzheimer’s disease. Neuropsychology, 23, 117–124. doi:10.1037/a0014074 [DOI] [PubMed] [Google Scholar]
  4. Armstrong L. Lauder W., & Shepherd A (2015). An evaluation of methods used to teach quality improvement to undergraduate healthcare students to inform curriculum development within preregistration nurse education: A protocol for systematic review and narrative synthesis. Systematic Reviews, 4, 8. doi:10.1186/2046-4053-4-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Balash Y. Mordechovich M. Shabtai H. Giladi N. Gurevich T., & Korczyn A. D (2013). Subjective memory complaints in elders: Depression, anxiety, or cognitive decline? Acta Neurologica Scandinavica, 127, 344–350. doi:10.1111/ane.12038 [DOI] [PubMed] [Google Scholar]
  6. Bazargan M., & Barbre A. R (1994). The effects of depression, health status, and stressful life-events on self-reported memory problems among aged blacks. International Journal of Aging & Human Development, 38, 351–362. [DOI] [PubMed] [Google Scholar]
  7. Begum A. Morgan C. Chiu C. C. Tylee A., & Stewart R (2012). Subjective memory impairment in older adults: Aetiology, salience and help seeking. International Journal of Geriatric Psychiatry, 27, 612–620. doi:10.1002/gps.2760 [DOI] [PubMed] [Google Scholar]
  8. Belleville S. Fouquet C. Duchesne S. Collins D. L., & Hudon C (2014). Detecting early preclinical Alzheimer’s disease via cognition, neuropsychiatry, and neuroimaging: Qualitative review and recommendations for testing. Journal of Alzheimer’s Disease, 42(Suppl. 4), S375–S382. doi:10.3233/jad-141470 [DOI] [PubMed] [Google Scholar]
  9. Bortolato B. Carvalho A. F., & McIntyre R. S (2014). Cognitive dysfunction in major depressive disorder: A state-of-the-art clinical review. CNS & Neurological Disorders Drug Targets, 13, 1804–1818. [DOI] [PubMed] [Google Scholar]
  10. Brucki S. M., & Nitrini R (2009). Subjective memory impairment in a rural population with low education in the Amazon rainforest: An exploratory study. International Psychogeriatrics, 21, 164–171. doi:10.1017/S1041610208008065 [DOI] [PubMed] [Google Scholar]
  11. Buckley R. Saling M. M. Ames D. Rowe C. C. Lautenschlager N. T. Macaulay S. L., … Ellis K. A; Australian Imaging Biomarkers and Lifestyle Study of Aging (AIBL) Research Group (2013). Factors affecting subjective memory complaints in the AIBL aging study: Biomarkers, memory, affect, and age. International Psychogeriatrics, 25, 1307–1315. doi:10.1017/S1041610213000665 [DOI] [PubMed] [Google Scholar]
  12. Burke D. M., & Shafto M. A (2004). Aging and language production. Current Directions in Psychological Science, 13, 21–24. doi:10.1111/j.0963-7214.2004.01301006.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cargin J. W. Collie A. Masters C., & Maruff P (2008). The nature of cognitive complaints in healthy older adults with and without objective memory decline. Journal of Clinical and Experimental Neuropsychology, 30, 245–257. doi:10.1080/13803390701377829 [DOI] [PubMed] [Google Scholar]
  14. Carter J. D. Frampton C. M. Mulder R. T. Luty S. E., & Joyce P. R (2010). The relationship of demographic, clinical, cognitive and personality variables to the discrepancy between self and clinician rated depression. Journal of Affective Disorders, 124, 202–206. doi:10.1016/j.jad.2009.11.011 [DOI] [PubMed] [Google Scholar]
  15. Caselli R. J. Chen K. Locke D. E. Lee W. Roontiva A. Bandy D., … Reiman E. M (2014). Subjective cognitive decline: Self and informant comparisons. Alzheimer’s & Dementia, 10, 93–98. doi:10.1016/j.jalz.2013.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Castro-Lionard K. Thomas-Antérion C. Crawford-Achour E. Rouch I. Trombert-Paviot B. Barthélémy J. C., … Gonthier R (2011). Can maintaining cognitive function at 65 years old predict successful ageing 6 years later? The PROOF study. Age and Ageing, 40, 259–265. doi:10.1093/ageing/afq174 [DOI] [PubMed] [Google Scholar]
  17. Cavanaugh J. C. Feldman J. M., & Hertzog C (1998). Memory beliefs as social cognition: A reconceptualization of what memory questionnaires assess. Review of General Psychology, 2, 48–65. doi:10.1037/1089-2680.2.1.48 [Google Scholar]
  18. Chen S. T. Siddarth P. Ercoli L. M. Merrill D. A. Torres-Gil F., & Small G. W (2014). Modifiable risk factors for Alzheimer disease and subjective memory impairment across age groups. PloS One, 9, e98630. doi:10.1371/journal.pone.0098630 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Chin J. Oh K. J. Seo S. W., & Na D. L (2014). Are depressive symptomatology and self-focused attention associated with subjective memory impairment in older adults? International Psychogeriatrics, 26, 573–580. doi:10.1017/S104161021300241X [DOI] [PubMed] [Google Scholar]
  20. Clarnette R. M. Almeida O. P. Forstl H. Paton A., & Martins R. N (2001). Clinical characteristics of individuals with subjective memory loss in Western Australia: Results from a cross-sectional survey. International Journal of Geriatric Psychiatry, 16, 168–174. [DOI] [PubMed] [Google Scholar]
  21. Crane M. K. Bogner H. R. Brown G. K., & Gallo J. J (2007). The link between depressive symptoms, negative cognitive bias and memory complaints in older adults. Aging & Mental Health, 11, 708–715. doi:10.1080/13607860701368497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Cuijpers P. Li J. Hofmann S. G., & Andersson G (2010). Self-reported versus clinician-rated symptoms of depression as outcome measures in psychotherapy research on depression: A meta-analysis. Clinical Psychology Review, 30, 768–778. doi:10.1016/j.cpr.2010.06.001 [DOI] [PubMed] [Google Scholar]
  23. Derouesné C. Alperovitch A. Arvay N. Migeon P. Moulin F. Vollant M., … Le Poncin M (1989). Memory complaints in the elderly: A study of 367 community-dwelling individuals from 50 to 80 years old. Archives of Gerontology and Geriatrics. Supplement, 1, 151–163. [PubMed] [Google Scholar]
  24. Derouesné C. Lacomblez L. Thibault S., & LePoncin M (1999). Memory complaints in young and elderly subjects. International Journal of Geriatric Psychiatry, 14, 291–301. [PubMed] [Google Scholar]
  25. Diniz B. S. Butters M. A. Albert S. M. Dew M. A., & Reynolds C. F (2013). Late-life depression and risk of vascular dementia and Alzheimer’s disease: Systematic review and meta-analysis of community-based cohort studies. The British Journal of Psychiatry, 202, 329–335. doi:10.1192/bjp.bp.112.118307 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Donovan N. J. Amariglio R. E. Zoller A. S. Rudel R. K. Gomez-Isla T. Blacker D., … Rentz D. M (2014). Subjective cognitive concerns and neuropsychiatric predictors of progression to the early clinical stages of Alzheimer disease. The American Journal of Geriatric Psychiatry, 22, 1642–1651. doi:10.1016/j.jagp.2014.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Dufouil C. Fuhrer R., & Alpérovitch A (2005). Subjective cognitive complaints and cognitive decline: Consequence or predictor? The epidemiology of vascular aging study. Journal of the American Geriatrics Society, 53, 616–621. doi:10.1111/j.1532-5415.2005.53209.x [DOI] [PubMed] [Google Scholar]
  28. Edmonds E. C. Delano-Wood L. Galasko D. R. Salmon D. P., & Bondi M. W; Alzheimer’s Disease Neuroimaging Initiative (2014). Subjective cognitive complaints contribute to misdiagnosis of mild cognitive impairment. Journal of the International Neuropsychological Society, 20, 836–847. doi:10.1017/S135561771400068X [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Elfgren C. Gustafson L. Vestberg S., & Passant U (2010). Subjective memory complaints, neuropsychological performance and psychiatric variables in memory clinic attendees: A 3-year follow-up study. Archives of Gerontology and Geriatrics, 51, e110–e114. doi:10.1016/j.archger.2010.02.009 [DOI] [PubMed] [Google Scholar]
  30. Enns M. W. Larsen D. K., & Cox B. J (2000). Discrepancies between self and observer ratings of depression. The relationship to demographic, clinical and personality variables. Journal of Affective Disorders, 60, 33–41. [DOI] [PubMed] [Google Scholar]
  31. Fischer C. Schweizer T. A. Atkins J. H. Bozanovic R. Norris M. Herrmann N., … Rourke S. B (2008). Neurocognitive profiles in older adults with and without major depression. International Journal of Geriatric Psychiatry, 23, 851–856. doi:10.1002/gps.1994 [DOI] [PubMed] [Google Scholar]
  32. Fiske A. Wetherell J. L., & Gatz M (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363–389. doi:10.1146/annurev.clinpsy.032408.153621 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Gagnon M. Dartigues J. F. Mazaux J. M. Dequae L. Letenneur L. Giroire J. M., & Barberger-Gateau P (1994). Self-reported memory complaints and memory performance in elderly French community residents: Results of the PAQUID research program. Neuroepidemiology, 13, 145–154. doi:10.1159/000110373 [DOI] [PubMed] [Google Scholar]
  34. Gallassi R. Bisulli A. Oppi F. Poda R., & Di Felice C (2008). Subjective cognitive complaints, neuropsychological performance, affective and behavioural symptoms in non-demented patients. International Journal of Geriatric Psychiatry, 23, 95–101. doi:10.1002/gps.1901 [DOI] [PubMed] [Google Scholar]
  35. Genziani M. Stewart R. Béjot Y. Amieva H. Artero S., & Ritchie K (2013). Subjective memory impairment, objective cognitive functioning and social activity in French older people: Findings from the Three Cities study. Geriatrics & Gerontology International, 13, 139–145. doi:10.1111/j.1447-0594.2012.00873.x [DOI] [PubMed] [Google Scholar]
  36. Gough D. (2007). Weight of evidence: A framework for the appraisal of the quality and relevance of evidence. Research Papers in Education, 22, 213–228. doi:10.1080/02671520701296189 [Google Scholar]
  37. Grambaite R. Hessen E. Auning E. Aarsland D. Selnes P., & Fladby T (2013). Correlates of subjective and mild cognitive impairment: Depressive symptoms and CSF biomarkers. Dementia and Geriatric Cognitive Disorders Extra, 3, 291–300. doi:10.1159/000354188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Harwood D. G. Barker W. W. Ownby R. L. Mullan M., & Duara R (1999). Factors associated with depressive symptoms in non-demented community-dwelling elderly. International Journal of Geriatric Psychiatry, 14, 331–337. [PubMed] [Google Scholar]
  39. Heun R., & Hein S (2005). Risk factors of major depression in the elderly. European Psychiatry, 20, 199–204. doi:10.1016/j.eurpsy.2004.09.036 [DOI] [PubMed] [Google Scholar]
  40. Hohman T. J. Beason-Held L. L., & Resnick S. M (2011). Cognitive complaints, depressive symptoms, and cognitive impairment: Are they related? Journal of the American Geriatrics Society, 59, 1908–1912. doi:10.1111/j.1532-5415.2011.03589.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Hollands S. Lim Y. Y. Buckley R. Pietrzak R. H. Snyder P. J. Ames D., … Maruff P (2015). Amyloid-β related memory decline is not associated with subjective or informant rated cognitive impairment in healthy adults. Journal of Alzheimer’s Disease, 43, 677–686. doi:10.3233/JAD-140678 [DOI] [PubMed] [Google Scholar]
  42. Jessen F. (2014). Subjective and objective cognitive decline at the pre-dementia stage of Alzheimer’s disease. European Archives of Psychiatry and Clinical Neuroscience, 264(Suppl. 1), 3–7. doi:10.1007/s00406-014-0539-z [DOI] [PubMed] [Google Scholar]
  43. Jessen F. Amariglio R. E. van Boxtel M. Breteler M. Ceccaldi M. Chételat G., … Wagner M; Subjective Cognitive Decline Initiative (SCD-I) Working Group (2014). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimer’s & Dementia, 10, 844–852. doi:10.1016/j.jalz.2014.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Jessen F. Wiese B. Cvetanovska G. Fuchs A. Kaduszkiewicz H. Kölsch H., … Bickel H (2007). Patterns of subjective memory impairment in the elderly: Association with memory performance. Psychological Medicine, 37, 1753–1762. doi:10.1017/S0033291707001122 [DOI] [PubMed] [Google Scholar]
  45. Jungwirth S. Fischer P. Weissgram S. Kirchmeyr W. Bauer P., & Tragl K. H (2004). Subjective memory complaints and objective memory impairment in the Vienna-Transdanube aging community. Journal of the American Geriatrics Society, 52, 263–268. [DOI] [PubMed] [Google Scholar]
  46. Kessler E.-M. Bowen C. Baer M. Froelich L., & Wahl H.-W (2012). Dementia worry: A psychological examination of an unexplored phenomenon. European Journal of Ageing, 9, 275–284. doi:10.1007/s10433-012-0242-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kim J.-M. Stewart R. Shin I.-S. Choi S.-K., & Yoon J.-S (2003). Subjective memory impairment, cognitive function and depression—A community study in older Koreans. Dementia and Geriatric Cognitive Disorders, 15, 218–225. doi:10.1159/000068783 [DOI] [PubMed] [Google Scholar]
  48. Laganà L., & Sosa G (2004). Depression among ethnically diverse older women: The role of demographic and cognitive factors. Educational Gerontology, 30, 801–820. doi:10.1080/03601270490507259 [Google Scholar]
  49. Laganà L. Spellman T. Wakefield J., & Oliver T (2011). Ethnic minority status, depression, and cognitive failures in relation to marital adjustment in ethnically diverse older women. Clinical Gerontologist, 34, 173–189. doi:10.1080/07317115.2011.554627 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Langlois A. S., & Belleville S (2014). Subjective cognitive complaint in healthy older adults: Identification of major domains and relation to objective performance. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 21, 257–282. doi:10.1080/13825585.2013.795928 [DOI] [PubMed] [Google Scholar]
  51. Lehrner J. Kogler S. Lamm C. Moser D. Klug S. Pusswald G., … Auff E (2015). Awareness of memory deficits in subjective cognitive decline, mild cognitive impairment, Alzheimer’s disease and Parkinson’s disease. International Psychogeriatrics, 27, 357–366. doi:10.1017/S1041610214002245 [DOI] [PubMed] [Google Scholar]
  52. Lehrner J. Moser D. Klug S. Gleiß A. Auff E. Dal-Bianco P., & Pusswald G (2014). Subjective memory complaints, depressive symptoms and cognition in patients attending a memory outpatient clinic. International Psychogeriatrics, 26, 463–473. doi:10.1017/S1041610213002263 [DOI] [PubMed] [Google Scholar]
  53. Leicht H. Berwig M., & Gertz H. J (2010). Anosognosia in Alzheimer’s disease: The role of impairment levels in assessment of insight across domains. Journal of the International Neuropsychological Society, 16, 463–473. doi:10.1017/S1355617710000056 [DOI] [PubMed] [Google Scholar]
  54. Lopez O. L. Jagust W. J. Dulberg C. Becker J. T. DeKosky S. T. Fitzpatrick A., … Kuller L. H (2003). Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: Part 2. Archives of Neurology, 60, 1394–1399. doi:10.1001/archneur.60.10.1394 [DOI] [PubMed] [Google Scholar]
  55. Minett T. S. Da Silva R. V. Ortiz K. Z., & Bertolucci P. H (2008). Subjective memory complaints in an elderly sample: A cross-sectional study. International Journal of Geriatric Psychiatry, 23, 49–54. doi:10.1002/gps.1836 [DOI] [PubMed] [Google Scholar]
  56. Minett T. S. Dean J. L. Firbank M. English P., & O’Brien J. T (2005). Subjective memory complaints, white-matter lesions, depressive symptoms, and cognition in elderly patients. The American Journal of Geriatric Psychiatry, 13, 665–671. doi:10.1176/appi.ajgp.13.8.665 [DOI] [PubMed] [Google Scholar]
  57. Moher D. Liberati A. Tetzlaff J., & Altman D. G; PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6, e1000097. doi:10.1371/journal.pmed.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Mol M. E. M. Ruiter R. A. C. Verhey F. R. J. Dijkstra J., & Jolles J (2008). A study into the psychosocial determinants of perceived forgetfulness: Implications for future interventions. Aging & Mental Health, 12, 167–176. doi:10.1080/13607860801972503 [DOI] [PubMed] [Google Scholar]
  59. Mol M. E. M. van Boxtel M. P. J. Willems D. Verhey F. R. J., & Jolles J (2009). Subjective forgetfulness is associated with lower quality of life in middle-aged and young-old individuals: A 9-year follow-up in older participants from the Maastricht Aging Study. Aging & Mental Health, 13, 699–705. doi:10.1080/13607860902845541 [DOI] [PubMed] [Google Scholar]
  60. Montejo P. Montenegro M. Fernández-Blázquez M. A. Turrero-Nogués A. Yubero R. Huertas E., & Maestú F (2014). Association of perceived health and depression with older adults’ subjective memory complaints: Contrasting a specific questionnaire with general complaints questions. European Journal of Ageing, 11, 77–87. doi:10.1007/s10433-013-0286-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Moraitou D., & Efklides A (2009). The Blank in the Mind Questionnaire (BIMQ). European Journal of Psychological Assessment, 25, 115–122. doi:10.1027/1015-5759.25.2.115 [Google Scholar]
  62. Nyunt M. S. Fones C. Niti M., & Ng T. P (2009). Criterion-based validity and reliability of the Geriatric Depression Screening Scale (GDS-15) in a large validation sample of community-living Asian older adults. Aging & Mental Health, 13, 376–382. doi:10.1080/13607860902861027 [DOI] [PubMed] [Google Scholar]
  63. O’Boyle M. Amadeo M., & Self D (1990). Cognitive complaints in elderly depressed and pseudodemented patients. Psychology and Aging, 5, 467–468. [DOI] [PubMed] [Google Scholar]
  64. Orfei M. D. Varsi A. E. Blundo C. Celia E. Casini A. R. Caltagirone C., & Spalletta G (2010). Anosognosia in mild cognitive impairment and mild Alzheimer’s disease: Frequency and neuropsychological correlates. The American Journal of Geriatric Psychiatry, 18, 1133–1140. doi:10.1097/JGP.0b013e3181dd1c50 [DOI] [PubMed] [Google Scholar]
  65. Ownsworth T. Clare L., & Morris R (2006). An integrated biopsychosocial approach to understanding awareness deficits in Alzheimer’s disease and brain injury. Neuropsychological Rehabilitation, 16, 415–438. doi:10.1080/09602010500505641 [DOI] [PubMed] [Google Scholar]
  66. Parikh P. K. Troyer A. K. Maione A. M., & Murphy K. J (2015). The impact of memory change on daily life in normal aging and mild cognitive impairment. The Gerontologist. Advance online publication. doi:10.1093/geront/gnv030 [DOI] [PubMed] [Google Scholar]
  67. Pietrzak R. H. Maruff P. Woodward M. Fredrickson J. Fredrickson A. Krystal J. H., … Darby D (2012). Mild worry symptoms predict decline in learning and memory in healthy older adults: A 2-year prospective cohort study. The American Journal of Geriatric Psychiatry, 20, 266–275. doi:10.1097/JGP.0b013e3182107e24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Potter G. G. Hartman M., & Ward T (2009). Perceived stress and everyday memory complaints among older adult women. Anxiety, Stress, and Coping, 22, 475–481. doi:10.1080/10615800802449610 [DOI] [PubMed] [Google Scholar]
  69. Potvin O. Bergua V. Swendsen J. Meillon C. Tzourio C. Ritchie K., … Amieva H (2013). Anxiety and 10-year risk of incident and recurrent depressive symptomatology in older adults. Depression and Anxiety, 30, 554–563. doi:10.1002/da.22101 [DOI] [PubMed] [Google Scholar]
  70. Quine S., & Morrell S (2007). Fear of loss of independence and nursing home admission in older Australians. Health & Social Care in the Community, 15, 212–220. doi:10.1111/j.1365-2524.2006.00675.x [DOI] [PubMed] [Google Scholar]
  71. Rami L. Mollica M. A. García-Sanchez C. Saldaña J. Sanchez B. Sala I., … Molinuevo J. L (2014). The Subjective Cognitive Decline Questionnaire (SCD-Q): A validation study. Journal of Alzheimer’s Disease, 41, 453–466. doi:10.3233/JAD-132027 [DOI] [PubMed] [Google Scholar]
  72. Reid L. M., & Maclullich A. M (2006). Subjective memory complaints and cognitive impairment in older people. Dementia and Geriatric Cognitive Disorders, 22, 471–485. doi:10.1159/000096295 [DOI] [PubMed] [Google Scholar]
  73. Reisberg B. Shulman M. B. Torossian C. Leng L., & Zhu W (2010). Outcome over seven years of healthy adults with and without subjective cognitive impairment. Alzheimer’s & Dementia, 6, 11–24. doi:10.1016/j.jalz.2009.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Rouch I. Anterion C. T. Dauphinot V. Kerleroux J. Roche F. Barthelemy J. C., & Laurent B (2008). Cognitive complaints, neuropsychological performance and affective disorders in elderly community residents. Disability and Rehabilitation, 30, 1794–1802. doi:10.1080/09638280701667825 [DOI] [PubMed] [Google Scholar]
  75. Sachs-Ericsson N. Joiner T. Plant E. A., & Blazer D. G (2005). The influence of depression on cognitive decline in community-dwelling elderly persons. The American Journal of Geriatric Psychiatry, 13, 402–408. doi:10.1176/appi.ajgp.13.5.402 [DOI] [PubMed] [Google Scholar]
  76. Scogin F., & Rohling M (1989). Cognitive processes, self-reports of memory functioning, and mental health status in older adults. Journal of Aging and Health, 1, 507–520. doi:10.1177/089826438900100406 [Google Scholar]
  77. Sinforiani E. Zucchella C., & Pasotti C (2007). Cognitive disturbances in non-demented subjects: Heterogeneity of neuropsychological pictures. Archives of Gerontology and Geriatrics, 44(Suppl. 1), 375–380. doi:10.1016/j.archger.2007.01.052 [DOI] [PubMed] [Google Scholar]
  78. Singh-Manoux A. Dugravot A. Ankri J. Nabi H. Berr C. Goldberg M., … Elbaz A (2014). Subjective cognitive complaints and mortality: Does the type of complaint matter? Journal of Psychiatric Research, 48, 73–78. doi:10.1016/j.jpsychires.2013.10.005 [DOI] [PubMed] [Google Scholar]
  79. Slavin M. J. Brodaty H. Kochan N. A. Crawford J. D. Trollor J. N. Draper B., & Sachdev P. S (2010). Prevalence and predictors of “subjective cognitive complaints” in the Sydney Memory and Ageing Study. The American Journal of Geriatric Psychiatry, 18, 701–710. [DOI] [PubMed] [Google Scholar]
  80. Smart C. M. Segalowitz S. J. Mulligan B. P., & MacDonald S. W (2014). Attention capacity and self-report of subjective cognitive decline: A P3 ERP study. Biological Psychology, 103, 144–151. doi:10.1016/j.biopsycho.2014.08.016 [DOI] [PubMed] [Google Scholar]
  81. Snitz B. E. Weissfeld L. A. Cohen A. D. Lopez O. L. Nebes R. D. Aizenstein H. J., … Klunk W. E (2015). Subjective cognitive complaints, personality and brain amyloid-beta in cognitively normal older adults. The American Journal of Geriatric Psychiatry, 23, 985–993. doi:10.1016/j.jagp.2015.01.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Sperling R. A. Aisen P. S. Beckett L. A. Bennett D. A. Craft S. Fagan A. M., … Phelps C. H (2011). Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7, 280–292. doi:10.1016/j.jalz.2011.03.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Stewart R. Russ C. Richards M. Brayne C. Lovestone S., & Mann A (2001). Depression, APOE genotype and subjective memory impairment: A cross-sectional study in an African-Caribbean population. Psychological Medicine, 31, 431–440. [PubMed] [Google Scholar]
  84. Studer J. Donati A. Popp J., & von Gunten A (2014). Subjective cognitive decline in patients with mild cognitive impairment and healthy older adults: Association with personality traits. Geriatrics & Gerontology International, 14, 589–595. doi:10.1111/ggi.12139 [DOI] [PubMed] [Google Scholar]
  85. Tobiansky R. Blizard R. Livingston G., & Mann A (1995). The Gospel Oak Study stage IV: The clinical relevance of subjective memory impairment in older people. Psychological Medicine, 25, 779–786. doi:10.1017/S0033291700035029 [DOI] [PubMed] [Google Scholar]
  86. Trouton A. Stewart R., & Prince M (2006). Does social activity influence the accuracy of subjective memory deficit? Findings from a British community survey. Journal of the American Geriatrics Society, 54, 1108–1113. doi:10.1111/j.1532-5415.2006.00800.x [DOI] [PubMed] [Google Scholar]
  87. Uher R. Farmer A. Maier W. Rietschel M. Hauser J. Marusic A., … Aitchison K. J (2008). Measuring depression: Comparison and integration of three scales in the GENDEP study. Psychological Medicine, 38, 289–300. doi:10.1017/S0033291707001730 [DOI] [PubMed] [Google Scholar]
  88. Uher R. Perlis R. H. Placentino A. Dernovšek M. Z. Henigsberg N. Mors O., … Farmer A (2012). Self-report and clinician-rated measures of depression severity: Can one replace the other? Depression and Anxiety, 29, 1043–1049. doi:10.1002/da.21993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Umegaki H. Suzuki Y. Yanagawa M. Nonogaki Z. Nakashima H. Kuzuya M., & Endo H (2013). Cognitive impairments and functional declines in older adults at high risk for care needs. Geriatrics & Gerontology International, 13, 77–82. doi:10.1111/j.1447-0594.2012.00864.x [DOI] [PubMed] [Google Scholar]
  90. Verhaeghen P. Geraerts N., & Marcoen A (2000). Memory complaints, coping, and well-being in old age: A systemic approach. The Gerontologist, 40, 540–548. [DOI] [PubMed] [Google Scholar]
  91. Vestberg S. Passant U., & Elfgren C (2010). Stability in the clinical characteristics of patients with memory complaints. Archives of Gerontology and Geriatrics, 50, e26–e30. doi:10.1016/j.archger.2009.04.018 [DOI] [PubMed] [Google Scholar]
  92. Weed D. L. (2005). Weight of evidence: A review of concept and methods. Risk Analysis, 25, 1545–1557. doi:10.1111/j.1539-6924.2005.00699.x [DOI] [PubMed] [Google Scholar]
  93. Wolf O. T. Dziobek I. McHugh P. Sweat V. de Leon M. J. Javier E., & Convit A (2005). Subjective memory complaints in aging are associated with elevated cortisol levels. Neurobiology of Aging, 26, 1357–1363. doi:10.1016/j.neurobiolaging.2004.11.003 [DOI] [PubMed] [Google Scholar]
  94. Wolitzky-Taylor K. B. Castriotta N. Lenze E. J. Stanley M. A., & Craske M. G (2010). Anxiety disorders in older adults: A comprehensive review. Depression and Anxiety, 27, 190–211. doi:10.1002/da.20653 [DOI] [PubMed] [Google Scholar]
  95. Yates J. A. Clare L., & Woods R. T (2015). Subjective memory complaints, mood and MCI: A follow-up study. Aging & Mental Health. Advance online publication. doi:10.1080/13607863.2015.1081150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Zeintl M. Kliegel M. Rast P., & Zimprich D (2006). Prospective memory complaints can be predicted by prospective memory performance in older adults. Dementia and Geriatric Cognitive Disorders, 22, 209–215. doi:10.1159/000094915 [DOI] [PubMed] [Google Scholar]
  97. Zhang M. Wang H. Li T., & Yu X (2012). Prevalence of neuropsychiatric symptoms across the declining memory continuum: An observational study in a memory clinic setting. Dementia and Geriatric Cognitive Disorders Extra, 2, 200–208. doi:10.1159/000338410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Zimprich D. Martin M., & Kliegel M (2003). Subjective cognitive complaints, memory performance, and depressive affect in old age: A change-oriented approach. International Journal of Aging & Human Development, 57, 339–366. [DOI] [PubMed] [Google Scholar]
  99. Zlatar Z. Z., Moore R. C., Palmer B. W., Thompson W. K., Jeste D. V. (2014). Cognitive complaints correlate with depression rather than concurrent objective cognitive impairment in the successful aging evaluation baseline sample. Journal of Geriatric Psychiatry and Neurology, 27, 181–187. doi:10.1177/0891988714524628 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from The Gerontologist are provided here courtesy of Oxford University Press

RESOURCES