Characterization of subclinical depressive and anxiety symptoms in older adults with subjective cognitive decline progressing to objective cognitive impairment: A prospective 4-year follow-up study
Bibliographic record
Abstract
BackgroundSubjective cognitive decline (SCD) is linked to a more rapid progression to the development of mild cognitive impairment (MCI) or Alzheimer's disease (AD). SCD has been correlated with affective symptoms such as depression and anxiety. Recent research aimed to shed light on the relationship between these affective symptoms and how they might correlate to a more rapid progression to objective cognitive impairment. No studies have assessed the presence, type, and intensity of depressive and anxiety symptoms between SCD individuals who progressed versus those who did not.ObjectiveThis study aimed to establish whether there are differences between subclinical depressive and anxiety symptoms in terms of presence, type, and intensity of symptoms presented by individuals with SCD who progressed to an objective cognitive decline.MethodsThe recruited participants originated from the Consortium for the Early Identification of Alzheimer's Disease - Québec (CIMA-Q) cohort. They were assessed twice, with an interval of 4 years separating the evaluations. Anxiety symptoms were assessed using the Geriatric Anxiety Inventory (GAI) and depression symptoms using the Geriatric Depression Scale (GDS-30).ResultsThe presence, type and intensity of anxiety symptoms did not significantly distinguish the two groups. Only one type of hopelessness-related depressive symptom was significantly higher in SCD participants who had progressed to objective cognitive decline compared with those who had not.ConclusionsOur results suggest that it may be beneficial to target hopelessness in non-pharmacological interventions aimed at preventing the progression of people with SCD to MCI or AD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".