The Association Between Mild Behavioral Impairment‐Apathy Symptoms and Cognitive Symptoms
Bibliographic record
Abstract
BACKGROUND: Apathy may appear as a less acute late-life syndrome; however, it is associated with accelerated progression to dementia and contributes to adverse outcomes for patients and caregivers. These findings are not surprising since apathy can cause individuals to forego activities that improve cardiovascular and cognitive health (e.g., exercise), while inadvertently engaging in behaviors associated with greater dementia risk (e.g., social isolation). The objective of this research was to investigate the association between apathy symptoms (in the context of mild behavioral impairment [MBI)]) and cognitive symptoms. We hypothesized that greater MBI-apathy severity would be significantly associated with greater severity of cognitive symptoms. METHOD: All participants enrolled in the Canadian Platform for Research Online to Investigate Health, Quality of Life, Cognition, Behaviour, Function, and Caregiving in Aging (CAN-PROTECT) aged ≥50 years who had complete MBI-Checklist (MBI-C) and Everyday Cognition (ECog-II) scores were included (n = 1339). Apathy domain scores for interest, initiative, and emotional reactivity were also generated using the six MBI-C apathy items, and total apathy severity was the sum of all three domain scores. Likewise, ECog-II domain scores for memory, language, visual-spatial, and executive function were calculated as the sum of domain items, and total ECog-II severity was the sum of all domains. Negative binomial regressions (zero-inflated, if appropriate) assessed associations between total apathy severity and ECog-II total scores. Domain-specific analyses were also conducted. Covariates included age, sex, years of education, and non-apathy MBI (affective dysregulation, impulse dyscontrol, social inappropriateness, psychosis) score. RESULT: Across all participants (mean age = 64.5±7.4; 79.5% female), higher MBI-apathy scores were associated with more severe cognitive symptoms (standardized β [95%CI], 7.2% [4.3-10.2%]; p<0.001). Higher interest (16.5% [9.4-24.1%]; p<0.01) and initiative (18.4% [11.9-25.4%]; p<0.001) apathy domain scores were associated with more severe cognitive symptoms. Total apathy score was also associated with ECog-II memory (4.9% [2.4-7.4%]; p<0.001), language (5.6% [2.5-8.6%]; p<0.001), visual-spatial (8.3% [3.3-13.2%]; p<0.01), and executive (10.7% [6.7-14.7%]; p<0.001) domain scores. CONCLUSION: These findings provide valuable insight into the complex interplay between apathy and cognitive function, with potential implications for the development of targeted interventions for those affected by apathy-related cognitive deficits.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".