Sex Moderates the Association between Frailty and Mild Behavioral Impairment
Bibliographic record
Abstract
BACKGROUND: Frailty has been associated with cognitive markers of dementia but its relationship with behavioral markers of dementia are poorly understood. OBJECTIVES: To investigate the association between frailty and mild behavioral impairment (MBI), and whether this association is moderated by sex. DESIGN: Cross-sectional observational study. PARTICIPANTS/SETTING: 219 non-dementia participants (cognitively normal and mild cognitive impairment) from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) study. MEASUREMENTS: Frailty was measured using the frailty index (FI) with higher scores indicating more health deficits/greater frailty. MBI symptoms were derived from Neuropsychiatric Inventory Questionnaire scores using a published algorithm with a cut-off of >0 indicating MBI symptom presence and higher scores indicating greater severity. Multivariable logistic and linear regressions adjusted for age, sex, education, and cognitive diagnosis were used to test the association between FI and MBI symptom presence and severity, respectively, with MBI as the outcome variable. An FI-by-sex interaction term was included to test for sex-dependent effects. RESULTS: The FI mean and SD across the entire cohort was 0.14 ± 0.06 (median = 0.14, IQR = 0.09-0.17, range = 0.02-0.38). Higher FI scores were associated with the presence of MBI symptoms both globally and in the domains of decreased motivation, affective dysregulation, and psychosis. Higher FI scores were also associated with more severe MBI symptoms in a sex-dependent manner: both sexes reported similarly low MBI symptom severity at low (-1 SD) levels of FI but males reported 1.9x higher MBI symptom severity relative to females at high (+1 SD) levels of FI. CONCLUSIONS: The FI is associated with both the presence and severity of MBI, especially for males. This suggests that screening for early dementia risk should incorporate assessments of MBI for patients with frailty, and assessments of frailty for patients with MBI.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".