Association between depression, gender and Alzheimer's neuropathology in older adults without dementia
Bibliographic record
Abstract
OBJECTIVES: Previous studies regarding the relationship between depression and Alzheimer's neuropathology in older adults without dementia have reported conflicting findings. This study examined whether depression is associated with Alzheimer's neuropathology and whether sex moderates these relationships. METHODS: This is a cross-sectional study of older adults without dementia (normal cognition or mild cognitive impairment, age 50+; CDR ≤ 0.5) who had autopsy within 1 year of their last clinic visit in the National Alzheimer's Coordinating Center database (2005-2020). Logistic regression models were fitted to determine if a recent or remote history of depression was associated with amyloid spread beyond the neocortex measured by modified Thal phase score, density of amyloid plaques measured by CERAD score or tau neuropathology measured by modified Braak score. A moderator analysis was performed to determine if any of these associations were moderated by sex. RESULTS: This study included 407 participants (96 Thal, 405 Braak, and 406 CERAD). Those who had recently active depression (within previous 2 years) but not remote depression only were more likely to have higher Thal phase score compared to those without a history of depression (OR = 3.74; 95% CI, 1.15-12.17; p = 0.028). Sex did not moderate this association. No significant associations between recent depression and Braak or CERAD scores were observed. CONCLUSION: Our findings indicate that the association between late life depression and Alzheimer's neuropathology is associated with spread of amyloid pathology beyond the neocortex to include allocortical and subcortical regions critical for regulation of mood and motivated behavior.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".