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Record W4206286266 · doi:10.1002/alz.055815

Characterizing the phenomenology of anxiety in older adults with subjective cognitive decline

2021· article· en· W4206286266 on OpenAlexaff
Linda Mah, Geetanjali Murari, Susan Vandermorris, Nicolaas Paul L.G. Verhoeff, Nathan Herrmann

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsWorryAnxietyNeuroticismCognitive declineMoodPsychologyCognitionPsychiatryClinical psychologyNeuropsychologyGeriatric Depression ScaleDepression (economics)PersonalityDementiaDiseaseMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Subjective cognitive decline (SCD), defined as perception of memory or other cognitive decline with normal test performance, is conceptualized as a preclinical stage of Alzheimer’s disease. Formulations of SCD typically include presence of worry or concern regarding the perceived cognitive decline. Accordingly, SCD is associated with anxiety, but its underlying etiology remains unclear. In the current study, we compared mood, anxiety, and personality amongst SCD, mild cognitive impairment (MCI), and cognitively unimpaired (CU) older adults to characterize anxiety in SCD. Methods 146 older adults received psychiatric/medical assessments, self‐report measures of subjective memory, and neuropsychological (NP) tests to establish diagnosis. MCI [n=33,17F, age 72.3(SD6.7)] had subjective memory/other cognitive complaints, impaired NP performance, and functional independence. SCD [n=71,49F, age 71.1(SD6.3)] endorsed subjective memory decline with worry and normal NP performance. CU [n=42, 27F, age 70.6(SD6.8)] had normal NP performance and absence of subjective memory decline with worry. Participants were free of lifetime history of psychiatric illness and neurological conditions. They completed the State Trait Anxiety Inventory (STAI), NEO Five‐Factor Inventory (NEO‐FFI) which includes neuroticism, Health Anxiety Inventory (HAI), and Geriatric Depression Scale (GDS). Multivariate ANOVA was used to examine group differences, followed by post hoc comparisons with Sidak correction. Results Groups differed in STAI‐trait, NEO‐FFI neuroticism, HAI, and GDS [F(2,143)=5.26, P=.006; F(2,143)=3.26, P=.041; F(2,143)=4.61, P=.011; F(2,143)=7.66, P=.046, respectively]. Relative to CU, STAI‐trait and HAI scores were elevated in SCD and MCI (P’s<.05). NEO‐FFI neuroticism was higher in SCD compared to CU (P=.024). No differences between SCD and MCI were detected on any measure. Differences in GDS scores did not survive Sidak correction. Conclusions Anxiety symptoms in SCD without lifetime history of psychiatric illness are best conceptualized as neuroticism, a personality trait that increases proneness to negative affect. Based on non‐elevated levels of state anxiety and depression, anxiety in SCD does not appear to represent an emotional reaction to cognitive decline nor epiphenomena of subclinical depression. Health anxiety, or belief that one has a serious illness, was comparable in SCD and MCI. Future research is needed to clarify the role of neuroticism and its links with subjective and objective memory in SCD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.290
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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