P3‐298: MOOD AND PERSONALITY CHARACTERISTICS IN MILD COGNITIVE IMPAIRMENT, SUBJECTIVE COGNITIVE DECLINE, AND COGNITIVELY NORMAL OLDER ADULTS WITHOUT CURRENT OR LIFETIME HISTORY OF PSYCHIATRIC ILLNESS
Bibliographic record
Abstract
Subjective cognitive decline (SCD) may represent a preclinical phase of Alzheimer's disease (AD) and is associated with higher levels of neuroticism and depression, but whether these findings are secondary to current or previous history of psychiatric illness is unclear. In the current study, we assessed mood and personality traits in older adults with SCD and mild cognitive impairment (MCI) who were free of lifetime history of psychiatric conditions. The sample included 87 participants in total: 34 SCD [10M, mean age= 70.7 (6.2), mean years of education= 18.2 (7.8), mean MoCA= 26.9 (1.9)], 20 MCI [11M, mean age= 70.1 (5.9), mean years of education=16.7 (4.0), mean MoCA= 25.8 (1.9)] and 33 cognitively normal older adults [CN, 10M, mean age= 80.0 (7.0), mean years of education = 16.1 (2.9), mean MoCA= 26.9 (1.9)]. SCD reported memory change with concern but neuropsychological (NP) test performance was intact. MCI met NP criteria of scores on ≥ 2 memory tests ≥1.5 SDs lower than expected relative to overall intellect. All participants were independent in functional abilities, and free of medical/neurological etiologies of cognitive impairment and current or past history of psychiatric illness. Measures included the Geriatric Depression Scale (GDS), State Trait Anxiety Inventory (STAI), Health Anxiety Inventory (HAI) and NEO Five-Factor Inventory (NEO-FFI). Analysis of variance (ANOVA) was used to assess group differences. Groups differed in STAI trait anxiety, GDS, HAI and the NEO-FFI neuroticism subscale scores (p's <.05) but not in STAI state anxiety or in openness, conscientiousness, extraversion or agreeableness on the NEO-FFI. These differences were attributable to greater depression symptomatology, trait anxiety, and anxiety regarding general health in MCI and SCD groups compared to CN, and higher neuroticism scores on the NEO-FFI in SCD, but not MCI, participants relative to CN. No statistically significant differences were found between MCI and SCD groups on any measure. Older adults with SCD and MCI have similarly elevated levels of depressive symptomatology and anxious character traits that are not attributable to current or lifetime history of psychiatric illness. These findings are consistent with previous reports of an association between premorbid personality and risk of developing dementia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".