Hostname: page-component-5b777bbd6c-6lqsf Total loading time: 0 Render date: 2025-06-19T16:15:58.642Z Has data issue: false hasContentIssue false

Relationship between subjective cognitive concerns and objective neurocognitive performance in primary medical versus primary psychiatric populations

Published online by Cambridge University Press:  22 May 2025

Matthew S. Phillips*
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
George Whitman Kent
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Psychology, Wheaton College, Wheaton, IL, USA
Hajar Ismail
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Psychology, Roosevelt University, Chicago, IL, USA
Justyna Piszczor
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Clinical Psychology, The Chicago School, Chicago, IL, USA
Briana N. Galindo
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA
Greg Shapiro
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Clinical Psychology, The Chicago School, Chicago, IL, USA
Lisette Gonzalez
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
Brian M. Cerny
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
Jason R. Soble
Affiliation:
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA Department of Neurology, University of Illinois College of Medicine, Chicago, IL, USA
*
Corresponding author: Matthew S. Phillips; Email: mphill8@uic.edu
Rights & Permissions [Opens in a new window]

Abstract

Background

Subjective cognitive concerns (SCCs) refer to individuals’ self-identified cognitive limitations, irrespective of objective neurocognitive performance. Previous literature has overwhelmingly found that psychiatric factors, not neurocognitive dysfunction, are a primary correlate of elevated SCCs across a wide range of clinical populations. However, the relationship between SCCs and objective neurocognitive performance is complex and may further be influenced by underlying mechanisms of various impairments or etiologies. Moreover, much of the extant literature has under-utilized performance validity tests (PVTs) when analyzing objective neuropsychological outcomes.

Methods

As such, this study examined the associations between SCCs, performance validity, neurocognitive performance, and psychiatric distress among adult clinical patients with primary medical/neurologic (n = 127) and psychiatric (n = 106) etiologies.

Results

Results showed that elevated SCCs are associated with greater degrees of performance invalidity and psychiatric distress, but not neurocognitive performance, among both groups.

Conclusions

Findings support the utility of PVTs in clinical research and further highlight the impact of psychiatric factors on SCCs, regardless of medical/neurologic or psychiatric etiology.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Introduction

Subjective cognitive concerns (SCCs) pertain to individuals’ self-identified worries regarding their cognitive capabilities, irrespective of objective neurocognitive assessment outcomes (Jessen et al., Reference Jessen, Amariglio, Buckley, van der Flier, Han, Molinuevo and Wagner2020; Mendonça, Alves, & Bugalho, Reference Mendonça, Alves and Bugalho2016). Historically, research has found that the prevalence of SCCs generally tends to increase with age-related cognitive decline and/or comorbid medical conditions such as Alzheimer’s disease, vascular dementia, and Parkinson’s syndromes (Mitchell, Reference Mitchell2008). Among these populations, studies have identified stronger associations between increased SCCs and objective neurocognitive decline (Barbosa et al., Reference Barbosa, Mendonça, Caetano, Lampreia, Miguel and Bugalho2019; Dufouil et al., Reference Dufouil, Fuhrer and Alperovitch2005; Hong & Lee, Reference Hong and Lee2023; Mitchell et al., Reference Mitchell, Beaumont, Ferguson, Yadegarfar and Stubbs2014), although this finding certainly is not ubiquitous. Notably, anosognosia associated with Alzheimer’s disease often leads to unique challenges as patients tend to be rather oblivious of their objective decline, especially as the disease progresses (Cacciamani et al., Reference Cacciamani, Houot, Gagliardi, Dubois, Sikkes, Sánchez-Benavides and Epelbaum2021). Other studies have demonstrated that SCCs have no relationship with objective metrics of cognitive impairment and result in overestimation of cognitive problems and higher rates of mild cognitive impairment misdiagnosis (Edmonds et al., Reference Edmonds, Delano-Wood, Galasko, Salmon and Bondi2014). More recently, research has begun to explore the relationship between SCCs and objective cognitive functioning in other clinical populations.

Indeed, although SCCs often prompt a referral for neuropsychological evaluation, other factors – aside from frank neurocognitive dysfunction may be driving these concerns. In a large systematic review, Burmester, Leathem, and Merrick (Reference Burmester, Leathem and Merrick2016) found that while small but significant associations were identified between SCCs and objective neurocognitive performance across a large number of studies/age groups, psychiatric factors (i.e. depressive symptoms) were the primary contributor. This same review also identified a number of methodological limitations in many extant studies that likely contributed to the small association that was found between SCCs and objective findings, including the use of brief cognitive screeners and unvalidated self-report questionnaires, inclusion of volunteer samples not representative of clinical populations, and failure to include any measures of affective symptomatology.

When analyzing SCCs among broader clinical populations, similar findings have emerged. For instance, among individuals with mild traumatic brain injury (mTBI), Donnelly et al. (Reference Donnelly, Donnelly, Warner, Kittleson and King2018) reported that SCCs did not correspond with objective cognitive functioning and were more strongly associated with psychiatric distress. This is unsurprising given that post-concussion symptom complaints are nonspecific to mTBI and are associated with active psychopathology (Donnell, Kim, Silva, & Vanderploeg, Reference Donnell, Kim, Silva and Vanderploeg2012; Soble et al., Reference Soble, Silva, Vanderploeg, Curtiss, Belanger, Donnell and Scott2014). Moreover, Finley et al. (Reference Finley, Robinson, VanLandingham, Ulrich, Phillips and Soble2024) found that cognitive performance had a weak correlation with SCCs but strong associations with internalizing psychopathology and somatic symptoms in a sample of non-geriatric adults with confirmed ADHD. Similarly, in primary neurological populations (i.e. epilepsy, head injury, and cancer), increased depression and psychosocial stress, but not objective neurocognitive dysfunction, are highly correlated with an increase in SCCs (Galioto et al., Reference Galioto, Blum and Tremont2015; Pullens et al., Reference Pullens, De Vries and Roukema2010; Van Patten et al., Reference Van Patten, Chan, Tocco, Mordecai, Altalib, Cotton, Correia, Gaston, Grayson, Martin, Fry, Goodman, Allendorfer, Szaflarski and LaFrance2024). Serra-Blasco et al. (Reference Serra-Blasco, Torres, Vicent-Gil, Goldberg, Navarra-Ventura, Aguilar and Cardoner2019) found that patients with primary psychiatric diagnoses experiencing acute depressive episodes were more likely to underestimate their cognitive abilities on measures of attention and memory, suggesting that specific cognitive domains may be more vulnerable to SCCs.

To complicate matters, one major limitation of many previous studies exploring SCCs is the omission of performance validity tests (PVTs) to ensure valid objective cognitive test data. Although the literature in this area is sparse, a few select studies have explored the impact of PVTs on SCCs and objective neurocognitive functioning. Among general memory clinic patients, Czornik, Merten, and Lehrner (Reference Czornik, Merten and Lehrner2021) examined PVTs in patients with SCCs and found that only about 7% of their patients invalidated neurocognitive tests. These findings align more closely with previous literature identifying a positive association between SCCs and objective neurocognitive deficits in older adult populations (Barbosa et al., Reference Barbosa, Mendonça, Caetano, Lampreia, Miguel and Bugalho2019; Dufouil et al., Reference Dufouil, Fuhrer and Alperovitch2005; Hong & Lee, Reference Hong and Lee2023; Mitchell et al., Reference Mitchell, Beaumont, Ferguson, Yadegarfar and Stubbs2014). Conversely, Phillips et al. (Reference Phillips, Turchmanovych-Hienkel, Leese, Ramanauskas, VanLandingham, Ovsiew and Soble2025) found that, among young adults referred for ADHD evaluation, those who reported elevated SCCs were almost twice as likely to invalidate PVTs as those who did not, thus calling into question the validity of SCCs in younger, relatively healthier samples.

Overall, the relationship between SCCs and objective cognitive performance is complex and may be further influenced by the underlying mechanisms of various impairments or etiologies. Theoretically, medical/neurologic and psychiatric conditions have distinct associations with cognitive functioning (Vance et al., Reference Vance, Marson, Triebel, Ball, Wadley and Cody2016). For instance, while some medical conditions may lead to cognitive deficits through direct physiological damage or systemic effects (Gonzales et al., Reference Gonzales, Garbarino, Pollet, Palavicini, Kellogg, Kraig and Orr2022), psychiatric disorders often distort cognitive perceptions through emotional and psychological processes, including perceptions of one’s own cognitive performance (Groenman, van der Werf, & Geurts, Reference Groenman, van der Werf and Geurts2022). This divergence raises important questions about how different types of etiologies influence the relationship between SCCs and objective neurocognitive functioning/impairment. To address this question, this study aimed to build on existing literature by examining whether the association between SCCs and objective neurocognitive performance differs based on the primary etiology of cognitive complaints and/or dysfunction. Specifically, the study dichotomized neuropsychological examinees by primary psychiatric and medical/neurologic conditions and compared objective neurocognitive performance between those with and without significant SCCs after controlling for performance validity using a series of well-validated PVTs. Based on previous literature, it was hypothesized that SCCs would be more strongly influenced by psychiatric factors (i.e. depression and anxiety) in both psychiatric and medical/neurologic groups, with a stronger relationship in primary psychiatric patients. It was also hypothesized that individuals with elevated SCCs would be more likely to invalidate PVTs compared to those with unelevated SCCs.

Method

Participants & procedures

Cross-sectional data from 393 adult clinical patients referred for comprehensive outpatient neuropsychological evaluation at an urban academic medical center were analyzed. All patients provided written consent for their data to be used for research purposes as part of an ongoing university-based IRB-approved study. Patients’ neuropsychological diagnostic workup included an extensive medical record review, a comprehensive history questionnaire, a clinical interview, a neuropsychological battery to characterize cognitive status, a series of face-valid self-report measures of mood/anxiety, and the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, Reference Ben-Porath and Tellegen2008). One hundred twenty-six patients were not administered the MMPI-2-RF, most often due to significant cognitive impairment, which precluded their ability to tolerate the protocol, or, in a minority of cases, due to time limitations, resulting in their exclusion. An additional 25 patients had evidence of excessive variable or fixed, content-inconsistent responding on the MMPI-2-RF (i.e. VRIN-r and/or TRIN-r ≥ 80 T) and were also excluded. Finally, nine patients received no diagnosis or did not receive a primary medical or psychiatric diagnosis, which were the conditions of interest for this study, and were excluded. This resulted in a final study sample of 233 diverse adult outpatients (see Table 1).

Table 1. Demographics for the total sample

Note: * p < .05; ** < .01; PVT, Performance Validity Test; COG, Minnesota Multiphasic Personality Inventory-2-Restructured Form Cognitive Complaints scale.

Measures

Neuropsychological test battery

The neuropsychological test battery included all of the following measures: Rey Auditory Verbal Learning Test (RAVLT; Schmidt, Reference Schmidt1996), Weschler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Processing Speed (PSI) index and Digit Span (Wechsler, Reference Wechsler2008), Trail Making Test A and B (TMT-A; TMT-B; Heaton, Reference Heaton2004), Stroop Color and Word Test-Inhibition Trial (SCWT; Golden, Reference Golden1978), and Letter (FAS) and Semantic (Animal Naming) Verbal Fluency Tests (Heaton, Reference Heaton2004). The battery also contained four well-validated, freestanding PVTs: Dot Counting Test (Boone, Lu, & Herzberg, Reference Boone, Lu and Herzberg2002), Medical Symptom Validity Test (Green, Reference Green2004; Resch, Rhoads, Ovsiew, & Soble, Reference Resch, Rhoads, Ovsiew and Soble2022), Test of Memory Malingering-Trial 1 (Martin et al., Reference Martin, Schroeder, Olsen, Maloy, Boettcher, Ernst and Okut2020), and Word-Choice Test (Bernstein, Resch, Ovsiew, & Soble, Reference Bernstein, Resch, Ovsiew and Soble2021). For analyses examining performance validity status, patients with 0–1 failures across the four freestanding PVTs were classified as having valid neuropsychological test performance, and those with ≥2 failures were classified as having invalid test performance (Jennette et al., Reference Jennette, Williams, Resch, Ovsiew, Durkin, O’Rourke and Soble2021; Martin, Schroeder, & Olsen, Reference Martin, Schroeder and Olsen2022; Sweet et al., Reference Sweet, Heilbronner, Morgan, Larrabee, Rohling, Boone and Participants2021).

Minnesota multiphasic personality inventory-2-restructured form (MMPI-2-RF; Ben-Porath & Tellegen, Reference Ben-Porath and Tellegen2008)

The MMPI-2-RF is an objective measure of psychiatric symptoms and personality features, consisting of 338 true/false questions. It contains 10 validity scales that are used to assess inconsistent responding and over- and underreporting, as well as nine clinical scales and 30 specific problem scales. T-scores ≥65 suggest elevations across the clinical and specific problems scales. The main scale of interest for this study was the Cognitive Complaints (COG) scale, which provides insight into one’s subjective report of cognitive difficulties involving concentration, memory, intelligence challenges, and general confusion. As noted above, patients with invalid VRIN-r and/or TRIN-r validity scores were entirely excluded from the study. For the remaining validity scales, definite overreporting was operationalized as ≥120 T on F-r, ≥100 on Fp-r, Fs, FBR-r, and RBS, and definite underreporting as ≥80 T on L-r and ≥ 70 on K-r (Ben-Porath, Reference Ben-Porath2012).

Beck depression inventory-2nd edition (BDI-II; Beck, Steer, & Brown, Reference Beck, Steer and Brown1996) and beck anxiety inventory (BAI; Beck, Epstein, Brown, & Steer, Reference Beck, Epstein, Brown and Steer1988).

Both the BDI-II and BAI are face-valid self-report measures of depression and anxiety symptoms, respectively, consisting of 21 items (scores range from 0–63), with higher scores indicating more severe symptomatology.

Data analysis

Data were analyzed using IBM SPSS statistics software (Version 27; IBM Corp, 2020). All statistical assumptions were met before running analyses (e.g. test of normality and multicollinearity). The overall sample was dichotomized to form primary medical/neurologic and primary psychiatric etiology groups (Medical/Neurologic = 127; Psychiatric = 106) based on whether the referral was based on a primary medical/neurologic problem or a psychiatric problem (see Table 2 for breakdown of subgroup etiologies). The MMPI-2-RF COG scale was dichotomized into elevated (≥65 T) or non-elevated (≤64 T) to create groups based on scale elevations for the entire sample, as well as for each individual study sample (see Tables 3 and 4). The four freestanding PVTs discussed above were used to form valid (n = 187) and invalid (n = 46) neurocognitive performance groups. Supplementary analyses were also conducted on a subsample that showed evidence of no-definite overreporting or underreporting on the MMPI-2-RF (n = 178).

Table 2. Specific diagnoses by study group

Note: MCI, Mild Cognitive Impairment; TBI, Traumatic Brain Injury; HIV, Human Immunodeficiency Virus; AVM, Arteriovenous Malformation; PTSD, Posttraumatic Stress Disorder; ADHD, Attention-Deficit/Hyperactivity Disorder.

Table 3. Validity status based on primary etiology

Note: PVT, Performance Validity Test; COG, Minnesota Multiphasic Personality Inventory-2-Restructured Form Cognitive Complaints scale.

Table 4. Validity status based on primary etiology for no-definite MMPI-2-RF invalidity group

Note: PVT, Performance Validity Test; COG, Minnesota Multiphasic Personality Inventory-2-Restructured Form Cognitive Complaints scale.

Chi-square tests were used to assess for differences in performance validity status (i.e. valid or invalid) based on elevated and non-elevated COG scores for the entire sample, as well as the primary medical/neurologic and psychiatric etiology groups. To determine if evidence of overreporting on the MMPI-2-RF influenced this relationship, an additional chi-square was conducted to assess differences in the subsample of patients with no-definite overreporting or underreporting. Analyses of variance (ANOVAs) were conducted to test for significant differences in objective neurocognitive performance between the elevated and non-elevated COG groups among those with primary medical/neurologic and primary psychiatric etiologies. To correct for the familywise error rate due to multiple comparisons, the false discovery rate (FDR) procedure was applied with a .05 maximum FDR (Benjamini & Hochberg, Reference Benjamini and Hochberg1995). ANOVAs were repeated among the primary etiology groups in the no-definite MMPI-2-RF overreporting or underreporting subsample with FDR corrections. Finally, a series of linear regressions assessed if depression/distress and anxiety using the BDI-II, MMPI-2-RF RCd scale, and BAI predicted COG score elevations between the primary medical and primary psychiatric etiology groups.

Results

Demographic characteristics for the elevated and non-elevated COG groups are in Table 1. In the overall sample, the elevated COG group had higher rates of invalid neuropsychological test performance based on PVT failures compared to the non-elevated COG group. A similar pattern was observed in the primary medical/neurologic and primary psychiatric groups, such that those in the primary psychiatric etiology group with elevated COG scores showed about twice the rate of invalid PVT performance than the primary medical/neurologic etiology group (Table 3). Among the no-definite MMPI-2-RF overreporting group, again a similar pattern emerged wherein elevated COG groups showed a greater degree of PVT failure with the primary psychiatric etiology group showing a higher rate of PVT failure than the primary medical/neurologic etiology group (Table 4).

ANOVAs assessing differences in neuropsychological test performance between elevated and non-elevated COG scores among the primary medical/neurologic and primary psychiatric etiology groups are presented in Table 5. In short, no significant differences were observed for either etiology group after controlling for the familywise error rate. After excluding those with evidence of MMPI-2-RF overreporting (Table 6), a similar pattern emerged.

Table 5. All MMPI-2-RF group

Note: There were no statistically significant findings across cognitive tests. RAVLT, Rey Auditory Verbal Learning Test; WAIS-IV, Wechsler Adult Intelligence Test, 4th Edition; PSI, Processing Speed Index; Trails, Trail Making Test; COG, Minnesota Multiphasic Personality Inventory-2-Restructured Form Cognitive Complaints. All p-values reflect false discovery rate-corrected p-values.

Table 6. No-Definite MMPI-2-RF Invalidity

Note. There were no statistically significant findings across cognitive tests. RAVLT: Rey Auditory Verbal Learning Test; WAIS-IV: Wechsler Adult Intelligence Test, 4th Edition; PSI: Processing Speed Index; Trails: Trail Making Test; COG: Minnesota Multiphasic Personality Inventory-2-Restructured Form Cognitive Complaints. All p-values reflect false discovery rate-corrected p-values.

Finally, among the primary medical/neurologic etiology group, both depression/psychological distress (BDI-II, R2 = .203; p < .001; RCd, R2 = .364: p < .001) and anxiety (BAI, R2 = .139, p = <.001) symptoms significantly predicted SCCs whereby those with greater self-reported depression and anxiety also endorsed higher rates of SCCs. An additional regression that combined the BDI-II and BAI was also significant and found greater shared variance than the BDI-II and BAI models alone (R2 = .221, p = <.001). Similar findings were observed among the primary psychiatric etiology group for the BDI-II (R2 = .077, p = .004), RCd scale (R2 = .115, p < .001), and BAI (R2 = .137, p < .001), and a regression combining the BDI-II and BAI found greater variance than with each of the models alone (R2 = .143, p < .001).

Discussion

Primary findings

The present study investigated the associations between subjective cognitive complaints (SCCs) and performance invalidity, cognitive performance, and psychiatric distress among clinical neuropsychological individuals stratified by medical/neurologic and psychiatric reasons for referral. Consistent with the primary hypothesis, results indicated that examinees with clinically elevated SCCs were more likely to produce invalid cognitive performance data, particularly those with primary psychiatric etiologies. Additionally, results also support the other primary hypothesis that, after accounting for performance validity, SCCs were unrelated to objective neurocognitive performance. Finally, psychiatric distress was significantly associated with SCCs among both groups, more so among those with medical/neurologic etiologies.

Higher rates of performance invalidity among those with elevated SCCs observed in the present study aligns with previous literature showing a similar relationship in those being referred for ADHD diagnostic evaluations (Phillips et al., 2025). However, this current study also controlled for symptom invalidity to see how over- or underreporting might further drive this relationship. Notably, the relationship between PVT failure rates and SCC endorsement remained largely the same. To our knowledge, the relationship between SCCs and PVT failure rate has not been well explored apart from a few previous studies using distinct patient populations (Czornik et al., Reference Czornik, Merten and Lehrner2021; Nauta et al., Reference Nauta, Bertens, van Dam, Huiskamp, Driessen, Geurts and Klein2022; Phillips et al., Reference Phillips, Turchmanovych-Hienkel, Leese, Ramanauskas, VanLandingham, Ovsiew and Soble2025 ). Overall, these findings significantly contribute to the current dearth of literature on the relationship between SCCs and PVT performance by suggesting that the use of PVTs in neuropsychological testing should be an integral component of the evaluation process.

The lack of differences between those with and without elevated SCCs observed in the present study support previous literature, which have found similar relationships in specific diagnostic samples (Finley et al., Reference Finley, Robinson, VanLandingham, Ulrich, Phillips and Soble2024; Ingulfsvann Hagen et al., Reference Ingulfsvann Hagen, Landrø, Hoorelbeke, Lau and Stubberud2023; Mulligan, Smart, & Ali, Reference Mulligan, Smart and Ali2016; Phillips et al., Reference Phillips, Turchmanovych-Hienkel, Leese, Ramanauskas, VanLandingham, Ovsiew and Soble2025 ; Pranckeviciene, Deltuva, Tamasauskas, & Bunevicius, Reference Pranckeviciene, Deltuva, Tamasauskas and Bunevicius2017; Serra-Blasco et al., Reference Serra-Blasco, Torres, Vicent-Gil, Goldberg, Navarra-Ventura, Aguilar and Cardoner2019; Wahed et al., Reference Wahed, Ferguson, Thompson, Arrotta and Busch2024; Zlatar et al., Reference Zlatar, Muniz, Espinoza, Gratianne, Gollan, Galasko and Salmon2018), and extends results to a diagnostically diverse clinical sample. Therefore, it appears that a weak to null association between SCCs and objective cognitive performance is not limited to a circumscribed patient population. This finding strongly underscores the need for objective cognitive assessment among individuals with SCCs, as their cognitive symptom complaints are not indicative of actual cognitive dysfunction and are insufficient to warrant a neurocognitive disorder diagnosis. Primary care providers are, therefore, strongly encouraged to refer their patients with subjective cognitive complaints for comprehensive neuropsychological evaluation.

Also, similar to previous studies (Burmester et al., Reference Burmester, Leathem and Merrick2016; Edmonds et al., Reference Edmonds, Delano-Wood, Galasko, Salmon and Bondi2014; Finley et al., Reference Finley, Robinson, VanLandingham, Ulrich, Phillips and Soble2024; Pranckeviciene et al., Reference Pranckeviciene, Deltuva, Tamasauskas and Bunevicius2017; Serra-Blasco et al., Reference Serra-Blasco, Torres, Vicent-Gil, Goldberg, Navarra-Ventura, Aguilar and Cardoner2019; Topiwala et al., Reference Topiwala, Suri, Allan, Zsoldos, Filippini, Sexton and Ebmeier2021), the present study observed a significant association between psychiatric symptoms and SCCs. SCCs were positively associated with depression and anxiety symptoms in both primary psychiatric groups and primary medical/neurologic groups. Shared variance was modest, indicating that SCCs are not related to, but not synonymous with, psychiatric distress. Contrary to hypotheses, a stronger association between SCCs and psychiatric distress was observed among the medical/neurologic group relative to the psychiatric group. Potential reasons include adjustment to medical/neurologic illness present in the medical/neurologic group and absent in the psychiatric group, leading to distorted appraisals of cognitive performance. It is also possible that items on the BDI-II commonly associated with medical/neurologic illnesses (e.g. restlessness/agitation, sleep dysfunction, fatigue, and changes in appetite) are responsible for the stronger association in the medical/neurologic group.

Recommendations and future directions

Current study findings highlight the necessity of objective assessment of cognitive performance when patients present with SCCs. Further, cognitive assessments should include PVTs consistent with current practice standards (Sweet et al., Reference Sweet, Heilbronner, Morgan, Larrabee, Rohling, Boone and Participants2021). Individuals with elevated SCCs have higher rates of performance invalidity, which represents a potential confound when investigating patients’ subjective appraisal of their cognitive abilities. This holds across both medical/neurologic and psychiatric contexts. Additionally, the present findings suggest that symptom validity testing alone is insufficient to disentangle SCCs from objective neurocognitive dysfunction. Even in those who did not over- or underreport on symptom validity tests (SVTs), those with elevated SCCs demonstrated a higher PVT failure rate. Taking these factors into account, findings suggest that researchers similarly utilize PVTs when assessing the relationship between SCCs and objective neuropsychological performance. Doing so will help increase the overall validity, reliability, and generalizability of future studies.

There remains debate as to whether SCCs may serve a role in predicting future decline, with some studies showing a significant relationship (Pike et al., Reference Pike, Cavuoto, Li, Wright and Kinsella2022), others showing a stronger relationship with psychiatric factors (Edmonds et al., Reference Edmonds, Delano-Wood, Galasko, Salmon and Bondi2014; Hill et al., Reference Hill, Mogle, Wion, Munoz, DePasquale, Yevchak and Parisi2016; Topiwala et al., Reference Topiwala, Suri, Allan, Zsoldos, Filippini, Sexton and Ebmeier2021), and those with mixed results (Brailean et al., Reference Brailean, Steptoe, Batty, Zaninotto and Llewellyn2019; Hill et al., Reference Hill, Mogle, Wion, Munoz, DePasquale, Yevchak and Parisi2016). Hill et al. (Reference Hill, Mogle, Wion, Munoz, DePasquale, Yevchak and Parisi2016) even made a specific call for longitudinal research. However, at present, it remains clear that SCCs, objective neurocognitive functioning, and psychiatric distress are distinct constructs. Thus, future research using diverse clinical presentations should continue to explore potential correlates, predictors, and outcomes of SCCs.

Strengths and limitations

This study has several strengths, including the use of a large and demographically diverse clinical sample representative of a general outpatient neuropsychological practice setting. Moreover, the present study utilized four well-validated criterion PVTs and a symptom validity-controlled self-report measure (i.e. the MMPI-2-RF) to establish the validity of test performance and self-reports among participants.

Despite the study’s strengths, it was not without limitations. For one, while the sample was diverse in many respects, participants were highly educated, and results may not generalize to patients with lower educational attainment. Furthermore, while the neurocognitive battery used in this study was comprehensive, it did not include some sub-domains often addressed in general clinical practice (e.g. visual and prose memory, naming, and visuospatial skills). In this respect, it is possible that the current battery of tests may not have been sensitive enough to capture nuanced differences across groups that other test measures may have identified. However, despite these limitations, the current battery was fairly extensive and included broad cognitive domains typically assessed during routine neuropsychological evaluations (e.g. attention/working memory, processing speed, memory, language, and executive functions).

Conclusion

In sum, the results demonstrate that SCCs are a distinct construct from objective neurocognitive functioning and that SCCs are associated with psychiatric distress in both medical/neurologic and psychiatric populations. Additionally, this study further supports the need to include performance validity controls when assessing the credibility of patient’s subjective appraisal of neurocognitive functioning, even in those with valid symptom reporting.

Funding statement

This research received no specific grant from any funding agency, whether commercial or not-for-profit.

Competing interests

The authors declare none.

Ethical standard

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, revised in 2008.

References

Barbosa, R. P., Mendonça, M. D., Caetano, A. P., Lampreia, T. M., Miguel, R. & Bugalho, P. M. (2019). Cognitive complaints in Parkinson’s disease patients: from subjective cognitive complaints to dementia and affective disorders. Journal of Neural Transmission, 126(10), 13291335. https://doi.org/10.1007/s00702-019-02042-8CrossRefGoogle ScholarPubMed
Beck, A. T., Epstein, N., Brown, G., & Steer, R. (1988). Beck anxiety inventory [Database record]. APA PsycTests. https://doi.org/10.1037/t02025-000CrossRefGoogle Scholar
Beck, A. T., Steer, R. A., & Brown, G. (1996). Beck depression inventory–II (BDI-II) [Database record]. APA PsycTests. https://doi.org/10.1037/t00742-000CrossRefGoogle Scholar
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discover rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289300.10.1111/j.2517-6161.1995.tb02031.xCrossRefGoogle Scholar
Ben-Porath, Y. S., & Tellegen, A. (2008). Empirical correlates of the MMPI-2 restructured clinical (RC) scales in mental health, forensic, and non-clinical settings: An introduction. Journal of Personality Assessment, 90, 119121. https://doi.org/10.1080/00223890701845120CrossRefGoogle Scholar
Ben-Porath, Y. S. (2012). Interpreting the MMPI-2-RF. University of Minnesota Press.Google ScholarPubMed
Bernstein, M. T., Resch, Z. J., Ovsiew, G. P., & Soble, J. R. (2021). A systematic review and meta-analysis of the diagnostic accuracy of the Advanced Clinical Solutions Word Choice Test as a performance validity test. Neuropsychology Review, 31(2), 349359. https://doi.org/10.1007/s11065-020-09468-yCrossRefGoogle ScholarPubMed
Boone, K. B., Lu, P., & Herzberg, D. (2002). The dot counting test manual. Western Psychological Services.Google Scholar
Brailean, A., Steptoe, A., Batty, G. D., Zaninotto, P., & Llewellyn, D. J. (2019). Are subjective memory complaints indicative of objective cognitive decline or depressive symptoms? Findings from the English Longitudinal Study of Ageing. Journal of Psychiatric Research, 110, 143151. https://doi.org/10.1016/j.jpsychires.2018.12.005CrossRefGoogle ScholarPubMed
Burmester, B., Leathem, J., & Merrick, P. (2016). Subjective cognitive complaints and objective cognitive function in aging: A systematic review and meta-analysis of recent cross-sectional findings. Neuropsychology Review, 26, 376393. https://doi.org/10.1007/s11065-016-9332-2CrossRefGoogle ScholarPubMed
Cacciamani, F., Houot, M., Gagliardi, G., Dubois, B., Sikkes, S., Sánchez-Benavides, G., … & Epelbaum, S. (2021). Awareness of cognitive decline in patients with alzheimer’s disease: A systematic review and meta-analysis. Frontiers in Aging Neuroscience, 13. https://doi.org/10.3389/fnagi.2021.697234CrossRefGoogle ScholarPubMed
Czornik, M., Merten, T., & Lehrner, J. (2021). Symptom and performance validation in patients with subjective cognitive decline and mild cognitive impairment. Applied Neuropsychology Adult, 28(3), 269281. https://doi.org/10.1080/23279095.2019.1628761CrossRefGoogle ScholarPubMed
Donnell, A. J., Kim, M. S., Silva, M. A., & Vanderploeg, R. D. (2012). Incidence of postconcussion symptoms in psychiatric diagnostic groups, mild traumatic brain injury, and comorbid conditions. The Clinical Neuropsychologist, 26, 10921101.10.1080/13854046.2012.713984CrossRefGoogle ScholarPubMed
Donnelly, K., Donnelly, J. P., Warner, G. C., Kittleson, C. J., & King, P. R. (2018). Longitudinal study of objective and subjective cognitive performance and psychological distress in OEF/OIF veterans with and without traumatic brain injury. The Clinical Neuropsychologist, 32, 436455.10.1080/13854046.2017.1390163CrossRefGoogle ScholarPubMed
Dufouil, C., Fuhrer, R., & Alperovitch, A. (2005). Subjective Cognitive Complaints and Cognitive Decline: Consequence or Predictor? The Epidemiology of Vascular AgingStudy. Journal of the American Geriatrics Society, 53(4), 616621. https://doi.org/10.1111/j.1532-5415.2005.53209.xCrossRefGoogle ScholarPubMed
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: JINS, 20(8), 836847. https://doi.org/10.1017/S135561771400068XCrossRefGoogle ScholarPubMed
Finley, J.-C. A., Robinson, A. D., VanLandingham, H. B., Ulrich, D. M., Phillips, M. S., & Soble, J. R. (2024). Internalizing and somatic symptoms influence the discrepancy between subjective and objective cognitive difficulties in adults with ADHD who have valid and invalid test scores. Journal of the International Neuropsychological Society, 30(8), 728737. doi:10.1017/S1355617724000365CrossRefGoogle ScholarPubMed
Galioto, R., Blum, A. S., & Tremont, G. (2015). Subjective cognitive complaintsversus objective neuropsychological performance in older adults with epilepsy. Epilepsy & behavior: E&B, 51, 4852. https://doi.org/10.1016/j.yebeh.2015.06.035CrossRefGoogle ScholarPubMed
Gonzales, M. M., Garbarino, V. R., Pollet, E., Palavicini, J. P., Kellogg, D. L. Jr, Kraig, E., & Orr, M. E. (2022). Biological aging processes underlying cognitive decline and neurodegenerative disease. The Journal of Clinical Investigation, 132(10), e158453. https://doi.org/10.1172/JCI158453CrossRefGoogle ScholarPubMed
Golden, C. J. (1978). Stroop Color and Word Test: A Manual for Clinical and Experimental Uses. Wood Dale, Illinois: Stoelting Company.Google Scholar
Green, P. (2004). Green’s medical symptom validity Test (MSVT) for microsoft windows: User’s manual. Green’s Publishing.Google Scholar
Groenman, A. P., van der Werf, S., & Geurts, H. M. (2022). Subjective cognition in adults with common psychiatric classifications; a systematic review. Psychiatry Research, 308, 114374. https://doi.org/10.1016/j.psychres.2021.114374CrossRefGoogle ScholarPubMed
Heaton, R. K. (2004). Revised comprehensive norms for an expanded halstead-reitan battery: Demographically adjusted neuropsychological norms for African American and Caucasian adults, professional manual. Psychological Assessment Resources.Google Scholar
Hill, N. L., Mogle, J., Wion, R., Munoz, E., DePasquale, N., Yevchak, A. M., & Parisi, J. M. (2016). Subjective cognitive impairment and affective symptoms: A systematic review. The Gerontologist, 56(6), e109e127. https://doi.org/10.1093/geront/gnw091CrossRefGoogle ScholarPubMed
Hong, J. Y., & Lee, P. H. (2023). Subjective Cognitive Complaints in Cognitively Normal Patients With Parkinson’s Disease: A Systematic Review. Journal of movement disorders, 16(1), 112. https://doi.org/10.14802/jmd.22059CrossRefGoogle ScholarPubMed
IBM Corp. (2020). IBM statistics for windows, version 27.0. Armonk, NY: IBM Corp.Google Scholar
Ingulfsvann Hagen, B., Landrø, N. I., Hoorelbeke, K., Lau, B., & Stubberud, J. (2023). Characteristics associated with the discrepancy between subjective and objective executive functioning in depression. Applied Neuropsychology Adult, 30(5), 567576. https://doi.org/10.1080/23279095.2021.1969398CrossRefGoogle ScholarPubMed
Jennette, K. J., Williams, C. P., Resch, Z. J., Ovsiew, G. P., Durkin, N. M., O’Rourke, J. J. F.,… & Soble, J. R. (2021). Assessment of differential neurocognitive performance based on the number of performance validity test failures: A cross-validation study across multiple mixed clinical samples. The Clinical Neuropsychologist, 36(7), 19151932. https://doi.org/10.1080/13854046.2021.1900398CrossRefGoogle ScholarPubMed
Jessen, F., Amariglio, R. E., Buckley, R. F., van der Flier, W. M., Han, Y., Molinuevo, J. L.,… & Wagner, M. (2020). The characterisation of subjective cognitive decline. The Lancet Neurology, 19(3), 271278. https://doi.org/10.1016/S1474-4422(19)30368-0CrossRefGoogle ScholarPubMed
Martin, P. K., Schroeder, R. W., & Olsen, D. H. (2022). Performance validity in the dementia clinic: Specificity of validity tests when used individually and in aggregate across levels of cognitive impairment severity. The Clinical Neuropsychologist, 36(1), 165188. https://doi.org/10.1080/13854046.2020.1778790.CrossRefGoogle ScholarPubMed
Martin, P. K., Schroeder, R. W., Olsen, D. H., Maloy, H., Boettcher, A., Ernst, N., & Okut, H. (2020). A systematic review and meta-analysis of the test of memory malingering in adults: Two decades of deception detection. The Clinical Neuropsychologist, 34(1), 88119. https://doi.org/10.1080/13854046.2019.1637027CrossRefGoogle ScholarPubMed
Mendonça, M. D., Alves, L., & Bugalho, P. (2016). From subjective cognitive complaints to dementia: Who is at risk?: A systematic review. American Journal of Alzheimer’s Disease and other Dementias, 31(2), 105114. https://doi.org/10.1177/1533317515592331CrossRefGoogle ScholarPubMed
Mitchell, A. J. (2008). Is it time to separate subjective cognitive complaints from the diagnosis of mild cognitive impairment?. Age and Ageing, 37(5), 497499. https://doi.org/10.1093/ageing/afn147CrossRefGoogle ScholarPubMed
Mitchell, A. J., Beaumont, H., Ferguson, D., Yadegarfar, M., & Stubbs, B. (2014). Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: Meta-analysis. Acta Psychiatrica Scandinavica, 130(6), 439451. https://doi.org/10.1111/acps.12336CrossRefGoogle ScholarPubMed
Mulligan, B. P., Smart, C. M., & Ali, J. I. (2016). Relationship of subjective and objective performance indicators in subjective cognitive decline. Psychology & Neuroscience, 9(3), 362378. https://doi.org/10.1037/pne0000061CrossRefGoogle Scholar
Nauta, I. M., Bertens, D., van Dam, M., Huiskamp, M., Driessen, S., Geurts, J.,… & Klein, M. (2022). Performance validity in outpatients with multiple sclerosis and cognitive complaints. Multiple Sclerosis (Houndmills, Basingstoke, England), 28(4), 642653. https://doi.org/10.1177/13524585211025780CrossRefGoogle ScholarPubMed
Phillips, M. S., Turchmanovych-Hienkel, N., Leese, M., Ramanauskas, B., VanLandingham, H. B., Ovsiew, G. P.,… & Soble, J. R. (2025). The relationship between subjective cognitive complaints, invalid symptom reporting, and neurocognitive test performance validity among adults being evaluated for ADHD. Journal of Psychiatric Practice, 31(1), 1319. https://doi.org/10.1097/PRA.0000000000000834CrossRefGoogle ScholarPubMed
Pike, K. E., Cavuoto, M. G., Li, L., Wright, B. J., & Kinsella, G. J. (2022). Subjective cognitive decline: Level of risk for future dementia and mild cognitive impairment, a meta-analysis of longitudinal studies. Neuropsychology Review, 32(4), 703735. https://doi.org/10.1007/s11065-021-09522-3CrossRefGoogle ScholarPubMed
Pranckeviciene, A., Deltuva, V. P., Tamasauskas, A., & Bunevicius, A. (2017). Association between psychological distress, subjective cognitive complaints and objective neuropsychological functioning in brain tumor patients. Clinical Neurology and Neurosurgery, 163, 1823. https://doi.org/10.1016/j.clineuro.2017.10.007CrossRefGoogle ScholarPubMed
Pullens, M. J. J., De Vries, J., & Roukema, J. A. (2010). Subjective cognitive dysfunction in breast cancer patients: a systematic review. Psycho-Oncology, 19(11), 11271138. https://doi.org/10.1002/pon.1673CrossRefGoogle ScholarPubMed
Resch, Z. J., Rhoads, T., Ovsiew, G. P., & Soble, J. R. (2022). A known-groups validation of the medical symptom validity test and analysis of the genuine memory impairment profile. Assessment, 29(3), 455466. https://doi.org/10.1177/1073191120983919CrossRefGoogle ScholarPubMed
Schmidt, M. (1996). Rey auditory verbal learning test: A handbook. Western Psychological Services.Google Scholar
Serra-Blasco, M., Torres, I. J., Vicent-Gil, M., Goldberg, X., Navarra-Ventura, G., Aguilar, E., … & Cardoner, N. (2019). Discrepancy between objective and subjective cognition in major depressive disorder. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology, 29(1), 4656. https://doi.org/10.1016/j.euroneuro.2018.11.1104CrossRefGoogle ScholarPubMed
Soble, J. R., Silva, M. A., Vanderploeg, R. D., Curtiss, G., Belanger, H. B., Donnell, A. J., & Scott, S. G. (2014). Normative data for the neurobehavioral symptom inventory (NSI) and postconcussion symptom profiles among TBI, PTSD, and nonclinical samples. The Clinical Neuropsychologist, 28, 614632.10.1080/13854046.2014.894576CrossRefGoogle ScholarPubMed
Sweet, J. J., Heilbronner, R. L., Morgan, J. E., Larrabee, G. J., Rohling, M. L., Boone, K. B., … & Participants, Conference. (2021). American academy of clinical neuropsychology (AACN) 2021 consensus statement on validity assessment: Update of the 2009 AACN consensus conference statement on neuropsychological assessment of effort, response bias, and malingering. The Clinical Neuropsychologist, 35(6), 10531106. https://doi.org/10.1080/13854046.2021.1896036CrossRefGoogle ScholarPubMed
Topiwala, A., Suri, S., Allan, C., Zsoldos, E., Filippini, N., Sexton, C. E., … & Ebmeier, K. P. (2021). Subjective cognitive complaints given in questionnaire: Relationship with brain structure, cognitive performance and self-reported depressive symptoms in a 25-year retrospective cohort study. The American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, 29(3), 217226. https://doi.org/10.1016/j.jagp.2020.07.002CrossRefGoogle Scholar
Vance, D. E., Marson, D. C., Triebel, K. L., Ball, K. K., Wadley, V. G., & Cody, S. L. (2016). Physical activity and cognitive function in older adults: The mediating effect of depressive symptoms. The Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses, 48(4), E2E12. https://doi.org/10.1097/JNN.0000000000000197CrossRefGoogle ScholarPubMed
Van Patten, R., Chan, L., Tocco, K., Mordecai, K., Altalib, H., Cotton, E., Correia, S., Gaston, T. E., Grayson, L. P., Martin, A., Fry, S., Goodman, A., Allendorfer, J. B., Szaflarski, J., & LaFrance, W. C. (2024). Reduced Subjective Cognitive Concerns With Neurobehavioral Therapy in Functional Seizures and Traumatic Brain Injury. The Journal of neuropsychiatry and clinical neurosciences, 36(3), 197205. https://doi.org/10.1176/appi.neuropsych.20230138CrossRefGoogle ScholarPubMed
Wahed, S., Ferguson, L., Thompson, N., Arrotta, K., & Busch, R. M. (2024). Influence of psychological factors on the relationship between subjective and objective memory in adults with pharmacoresistant temporal lobe epilepsy. Epilepsy & behavior: E&B, 150, 109552. https://doi.org/10.1016/j.yebeh.2023.109552CrossRefGoogle ScholarPubMed
Wechsler, D. A. (2008). Wechsler adult intelligence scale (4th ed.). Psychological Corporation.Google Scholar
Zlatar, Z. Z., Muniz, M. C., Espinoza, S. G., Gratianne, R., Gollan, T. H., Galasko, D., & Salmon, D. P. (2018). Subjective Cognitive Decline, Objective Cognition, and Depression in Older Hispanics Screened for Memory Impairment. Journal of Alzheimer’s disease: JAD, 63(3), 949956. https://doi.org/10.3233/JAD-170865CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographics for the total sample

Figure 1

Table 2. Specific diagnoses by study group

Figure 2

Table 3. Validity status based on primary etiology

Figure 3

Table 4. Validity status based on primary etiology for no-definite MMPI-2-RF invalidity group

Figure 4

Table 5. All MMPI-2-RF group

Figure 5

Table 6. No-Definite MMPI-2-RF Invalidity