Functional Competence and Cognition in Individuals With Amnestic Mild Cognitive Impairment
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to characterize functional competence (measure of assistance needed for independence) on Performance Assessment of Self-Care Skills (PASS) Cognitively Mediated Instrumental Activities of Daily Living (C-IADL), in individuals with amnestic mild cognitive impairment (aMCI). It aims to determine: (1) the association of functional competence on PASS C-IADL tasks with neurocognitive test performance in aMCI, (2) its ability to discriminate individuals with aMCI from healthy control (HC) individuals, and (3) its added value in discriminating aMCI from HC individuals when combined with neurocognitive test performance. DESIGN: Cross-sectional secondary analysis of baseline data from a cohort of individuals enrolled in a clinical trial (NCT02386670). SETTING: Five university-affiliated outpatient clinics in Toronto, Canada. PARTICIPANTS: aMCI (N = 137) and HC (N = 51) participants, all aged 60 years or older. METHODS: We assessed the relationship between functional competence on three C-IADL PASS tasks (shopping, bill paying, and checkbook balancing) and neurocognitive tests in 137 participants with aMCI using multiple linear regressions. Additionally, we constructed receiver operating characteristic curves to assess the role of PASS functional competence in discriminating between 137 aMCI and 51 HC participants. RESULTS: Functional competence on PASS was significantly associated with tests of verbal memory, information processing speed, and executive function. It demonstrated 79% accuracy in discriminating aMCI from HC participants. Combining functional competence on PASS with individual neurocognitive tests significantly increased the discriminant accuracy of individual tests, and neurocognitive test scores combined with functional competence on PASS had the highest discriminant accuracy (94%). CONCLUSION: Functional competence on PASS is predicted by the underlying cognitive deficits and possibly captures additional element of effort that could improve the diagnostic accuracy of aMCI when combined with neurocognitive tests. Thus, PASS appears to be a promising tool for assessment of functional competence in aMCI in clinical or research settings. J Am Geriatr Soc 68:1787-1795, 2020.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".