Personality Factors and Subjective Cognitive Decline: The FACEHBI Cohort

Premorbid personality traits as predictors for incident predementia syndromes: a multistate model approach

OBJECTIVE

Associations have been found between five-factor model (FFM) personality traits and risk of developing specific predementia syndromes such as subjective cognitive decline (SCD) and mild cognitive impairment (MCI). The aims of this study were to: 1) Compare baseline FFM traits between participants who transitioned from healthy cognition or SCD to amnestic MCI (aMCI) versus non-amnestic MCI (naMCI); and 2) Determine the relationship between FFM traits and risk of transition between predementia cognitive states.

METHODS

Participants were 562 older adults from the Einstein Aging Study, 378 of which had at least one follow-up assessment. Baseline data collected included levels of FFM personality traits, anxiety and depressive symptoms, medical history, performance on a cognitive battery, and demographics. Follow-up cognitive diagnoses were also recorded.

RESULTS

Mann-Whitney U tests revealed no differences in baseline levels of FFM personality traits between participants who developed aMCI compared to those who developed naMCI. A four-state multistate Markov model revealed that higher levels of conscientiousness were protective against developing SCD while higher levels of neuroticism resulted in an increased risk of developing SCD. Further, higher levels of extraversion were protective against developing naMCI.

CONCLUSIONS

FFM personality traits may be useful in improving predictions of who is at greatest risk for developing specific predementia syndromes. Information on these personality traits could enrich clinical trials by permitting trials to target individuals who are at greatest risk for developing specific forms of cognitive impairment. These results should be replicated in future studies with larger sample sizes and younger participants.

How "Subjective" is Subjective Cognitive Decline?

Background

Subjective cognitive decline is presently considered to be the earliest clinical stage of neurodegeneration. By its current definition, subjective cognitive decline conceptually implies that the sufferer presents no psychometrically measurable cognitive impairment despite numerous articles stating the presence of discrete objective impairments. Our purpose was to evaluate differences in objective cognitive performance in subjective cognitive decline patients compared to healthy controls.

Methods

A total of 101 cognitively unimpaired participants were divided into a subjective cognitive decline group (n = 67) and healthy control group (n = 34). We conducted a thorough cognitive evaluation and collected social, demographic, and clinical data as well as data on personality traits, sleep quality, and physical activity. Both groups were matched for sex, age, education, and Mini-Mental State Examination score.

Results

The subjective cognitive decline group had a lower verbal learning capacity as shown by the worse performance on Rey auditory verbal learning test trial 1 (P = .021) and Rey auditory verbal learning test total scores (P = .023). The subjective cognitive decline group was significantly more impaired in executive functioning compared to controls, as shown by trail making test A (P = .012) evaluation.

Conclusion

Persons with subjective cognitive decline have subtle, objective cognitive impairments which may be undetected with widely used, brief cognitive evaluations, such as the Mini-Mental State Examination. Yet, these impairments are not severe enough to warrant the diagnosis of mild cognitive impairment. Current subjective cognitive decline criteria could be expanded in order to increase the diagnostic precision of subjective cognitive decline.

Overall and sex-specific risk factors for subjective cognitive decline: findings from the 2015-2018 Behavioral Risk Factor Surveillance System Survey

BACKGROUND

Prior research indicates that at least 35% of Alzheimer's disease and related dementia risk may be amenable to prevention. Subjective cognitive decline is often the first indication of preclinical dementia, with the risk of subsequent Alzheimer's disease in such individuals being greater in women than men. We wished to understand how modifiable factors are associated with subjective cognitive decline, and whether differences exist by sex.

METHODS

Data were collected from men and women (45 years and older) who completed the U.S. Behavioral Risk Factor Surveillance System Cognitive Decline Module (2015-2018), n = 216,838. We calculated population-attributable fractions for subjective cognitive decline, stratified by sex, of the following factors: limited education, deafness, social isolation, depression, smoking, physical inactivity, obesity, hypertension, and diabetes. Our models were adjusted for age, race, income, employment, marital and Veteran status, and accounted for communality among risk factors.

RESULTS

The final study sample included more women (53.7%) than men, but both had a similar prevalence of subjective cognitive decline (10.6% of women versus 11.2% of men). Women and men had nearly equivalent overall population-attributable fractions to explain subjective cognitive decline (39.7% for women versus 41.3% for men). The top three contributing risk factors were social isolation, depression, and hypertension, which explained three-quarters of the overall population-attributable fraction.

CONCLUSIONS

While we did not identify any differences in modifiable factors between men and women contributing to subjective cognitive decline, other factors including reproductive or endocrinological health history or biological factors that interact with sex to modify risk warrant further research.

The Cognitive Difficulties Scale (CDS): Psychometric Characteristics in a Clinical Referral Sample

OBJECTIVE

To evaluate the psychometric characteristics of the Cognitive Difficulties Scale (CDS), a 39-item Likert-type self-report instrument that requires a fifth grade reading level. The CDS is a popular instrument that has been shown to predict cognitive decline in older persons.

METHOD

Participants were 512 consecutive outpatient referrals (71% women, mean age 60.6, and education 14.6 years) for a neuropsychological examination in a memory disorders clinic as part of a broader neurodiagnostic workup for cognitive decline. A principal components analysis was followed by a varimax rotation (Kaiser). Factor scores were investigated in relation to multiple internal and external criteria including demographics, Cronbach's alpha, Digit Span, and Wechsler Memory Scale-IV Logical Memory (LM) and Visual Reproduction (VR), and Minnesota Multiphasic Personality Inventory (MMPI)-2 measures of depression, anxiety, somatic preoccupations, and thought disturbance.

RESULTS

Six dimensions of cognitive complaint emerged accounting for 64% of the variance: attention/concentration, praxis, prospective memory, speech problems, memory for people's names, and temporal orientation. The factors showed good internal consistency (alphas > .850). Correlations with Digit Span, LM, and VR were all nonsignificant. CDS scores were associated with MMPI-2 measures of anxiety, depression, somatic preoccupation, and thought disturbance. Percentiles and T-scores were derived for raw scores on the CDS and its six component subscales.

CONCLUSION

The CDS is a multidimensional measure of subjective cognitive complaints that provides clinicians with a psychometrically sound basis for deriving a profile with six subscale scores. The test has clinical utility and is a potentially useful tool in research involving age-related cognitive changes and meta-cognition.