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Record W2899601216 · doi:10.1093/geroni/igy023.2766

COVARIATION BETWEEN CHANGE IN NEUROTICISM AND CHANGE IN COGNITIVE FUNCTIONING

2018· article· en· W2899601216 on OpenAlex
Tomiko Yoneda, Eileen K Graham, Nathan A. Lewis, Boo Johansson, Andrea M. Piccinin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNeuroticismPsychologyCognitionCognitive psychologyDevelopmental psychologyPersonalitySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Recent observational research examining personality at the intra-individual level has identified a consistent pattern between personality trait stability, in contrast to trait change or variability, and maintaining higher levels of cognitive functioning. However, no study has examined dynamic change in both personality traits and cognitive functioning. Using data from the OCTO-Twin Study (N=539), a series of bivariate latent growth curve models were fitted to examine change in both personality traits and cognitive functioning, and the covariation between that change. Controlling for age, sex, education, depressive symptoms, and incident dementia diagnosis, analyses revealed that the slope of neuroticism increased as the slope of block design decreased. Consistent with previous research, incident dementia diagnosis was consistently associated with linear increases in neuroticism and linear decreases in cognition. Identification of constructs associated with cognitive decline may aid in early care strategies and facilitate development of screening assessments.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

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

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 head0.194
GPT teacher head0.416
Teacher spread0.223 · 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