Self‐reported personality traits are prospectively associated with proxy‐reported behavioral and psychological symptoms of dementia at the end of life

Sutin, Angelina R.; Stéphan, Yannick; Luchetti, Martina; Terracciano, Antonio

doi:10.1002/gps.4782

Cited by 26 publications

(28 citation statements)

References 42 publications

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“…Mood symptoms and SCD have been shown to interact to predict dementia independent of their main effects [48], and similar results have been found examining persistent neuropsychiatric symptoms and MCI [15]. The approach to psychiatric symptomatology in SCD has generally utilized traditional constructs of personality (e.g., neuroticism) and psychiatric conditions [49][50][51]. However, a change in personality to greater neuroticism (which is a neurodevelopmental construct) can also be framed as the emergence of MBI affective dysregulation, if considered in a neurodegenerative frame of reference [49].…”

Section: Intersection Of Mbi and Scdmentioning

confidence: 75%

Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

Ismail

McGirr

Gill

et al. 2021

JAD

101

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Background: Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are dementia risk states, and potentially represent neurobehavioral and neurocognitive manifestations, respectively, of early stage neurodegeneration. Both MBI and SCD predict incident cognitive decline and dementia, are associated with known dementia biomarkers, and are both represented in the NIA-AA research framework for AD in Stage 2 (preclinical disease). Objective: To assess the associations of MBI and SCD, alone and in combination, with incident cognitive and functional decline in a population of older adults. We tested the hypothesis that MBI and SCD confer additive risk for decline. Methods: Cognitively normal participants were followed up annually at Alzheimer’s Disease Centers. Logistic regression assessed the relationship between baseline classification (MBI-SCD-, MBI-SCD+, MBI+SCD-, or MBI+SCD+) and 3-year outcome. Results: Of 2,769 participants (mean age=76), 1,536 were MBI-SCD-, 254 MBI-SCD+, 743 MBI+SCD-, and 236 MBI+SCD+. At 3 years, 349 (12.6%) declined to CDR >0, including 23.1% of the MBI+group, 23.5% of the SCD+group, and 30.9% of the intersection group of both MBI+and SCD+participants. Compared to SCD-MBI-, we observed an ordinal progression in risk (ORs [95% CI]): 3.61 [2.42–5.38] for MBI-SCD+ (16.5% progression), 4.76 [3.57–6.34] for MBI+SCD- (20.7%), and 8.15 [5.71–11.64] for MBI+SCD+(30.9%). Conclusion: MBI and SCD together were associated with the greatest risk of decline. These complementary dementia risk syndromes can be used as simple and scalable methods to identify high-risk patients for workup or for clinical trial enrichment.

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Section: Intersection Of Mbi and Scdmentioning

confidence: 75%

Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

Ismail

McGirr

Gill

et al. 2021

JAD

101

View full text Add to dashboard Cite

show abstract

“…The approach to psychiatric symptomatology in SCD has generally utilized traditional constructs of personality (e.g. neuroticism) and psychiatric conditions [41][42][43] . However, a change in personality to greater neuroticism ( which is a neurodevelopmental construct) can also be framed as the emergence of MBI affective dysregulation, if considered in a neurodegenerative frame of reference 41 .…”

Section: Discussionmentioning

confidence: 99%

Mild Behavioral Impairment and Subjective Cognitive Decline predict Mild Cognitive Impairment

Ismail

McGirr

Gill

et al. 2020

Preprint

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Objective: Better methods for detecting preclinical neuropathological change are required for prevention of dementia. Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) can represent neurobehavioral and neurocognitive axes of early stage neurodegenerative processes, which are represented in Stage 2 of the NIA-AA Alzheimers disease research framework. Both MBI and SCD may offer an opportunity for premorbid detection. We test the hypothesis that MBI and SCD confer additive risk for incident cognitive decline. Methods: Participants were cognitively normal older adults followed up approximately annually at Alzheimers Disease Centers. Logistic regression was used to determine the relationship between baseline classification (MBI+, SCD+, neither (MBI-SCD-), or both (MBI+SCD+)) and cognitive decline, defined by Clinical Dementia Rating (CDR) total score, at 3 years. Results: Of 2769 participants (mean age=76; 63% females), 1536 were MBI-SCD-, 254 MBI-SCD+, 743 MBI+SCD-, and 236 MBI+SCD+. At 3-years, 349 individuals (12.6%) developed cognitive decline to CDR>0. Compared to SCD-MBI-, we observed an ordinal progression in risk, with ORs [95% CI] as follows: 3.61 [2.42-5.38] for MBI-SCD+ (16.5% progression), 4.76 [3.57-6.34] for MBI+SCD-, (20.7% progression) and 8.15 [5.71-11.64] for MBI+SCD+ (30.9% progression). Conclusion: MBI in older adults alone or in combination with SCD is associated with a higher risk of incident cognitive decline at 3 years. The highest rate of progression to MCI is observed in those with both MBI and SCD. Used in conjunction, MBI and SCD could be simple and scalable methods to identify patients at high risk for cognitive decline for prevention studies.

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“…Sutin et al, who analyzed people with evidence of cognitive impairment at the end of life, established that the respondents with higher neuroticism were at a significantly greater risk of impaired functioning in many areas, and more often suffered from depression. This association was true, even after exclusion of such interfering factors as age, sex, race, and education [ 65 ]. What is more, the study of Taiwanese climacteric women revealed that neuroticism is an important contributor to the persistence of depression [ 66 ].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Sociodemographic, Psychological, and Genetic Factors Contributing to Depressive symptoms in Pre-, Peri- and Postmenopausal Women

Grochans

Szkup

Kotwas

et al. 2018

IJERPH

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Depressive symptoms that are faced by women in the pre-, peri-, and postmenopausal periods are determined by a wide array of sociodemographic, psychological, and biological variables. The aim of our study was to identify factors that contribute to depressive problems at this stage of life. The study included 815 healthy Polish women aged 45–60 years. The survey part was conducted using the Beck Depression Inventory (BDI), the State–Trait Anxiety Inventory (STAI), the Neuroticism–Extroversion–Openness Five Factor Inventory (NEO-FFI), and a self-developed questionnaire. Genetic analysis was also performed. Depressive symptoms were observed in 25.5% of participants. 70% of the women were postmenopausal. No statistically significant differences in the severity of depressive symptoms were demonstrated with regard to genetic variables (p > 0.05). Reproductive capacity (p < 0.001), employment (p < 0.001), and being married (p < 0.018) were found to reduce the incidence of depressive symptoms. The contribution of personality and anxiety as a trait to depressive symptoms varied. Conclusions: The factors predisposing pre-, peri-, and postmenopausal women to depressive symptoms include lower education, lack of a life partner, unemployment, high anxiety, and neurotic personality. No evidence was found for the contribution of genetic factors to depressive symptoms in the examined women.

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Self‐reported personality traits are prospectively associated with proxy‐reported behavioral and psychological symptoms of dementia at the end of life

Cited by 26 publications

References 42 publications

Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

Mild Behavioral Impairment and Subjective Cognitive Decline predict Mild Cognitive Impairment

Analysis of Sociodemographic, Psychological, and Genetic Factors Contributing to Depressive symptoms in Pre-, Peri- and Postmenopausal Women

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