Physical and Sociopsychological Characteristics of Older Community Residents With Mild Cognitive Impairment as Assessed by the Japanese Version of the Montreal Cognitive Assessment
Bibliographic record
Abstract
BACKGROUND: Although mild cognitive impairment (MCI) criteria are disputable, characterizing various aspects of operational MCI (O-MCI) may lead to a better understanding of potential modulators of cognitive decline and contribute to more effective public health strategies. The aim of the study is to examine characteristics of community-dwelling elderly people with MCI assessed using Japanese version of Montreal Cognitive Assessment (MoCA-J). METHODS: A total of 913 community-dwelling Japanese (65-84 years) participated in health examinations in Tokyo, 2011. The MoCA-J, Mini-Mental State Examination (MMSE), and other physical and mental tests were conducted. Excluded were those with <24 MMSE scores. Those with <26 in MoCA-J were divided into 2 subgroups, (A) participants independent of instrumental activities of daily living (IADL) and no memory complaints and (B) participants independent of IADL with memory complaints or partially dependent on IADL with/without memory complaints. Those with ≥26 in MoCA-J and subgroup (A) of MCI were the normal controls (NCs, 57.4%), and subgroup (B) of MCI was O-MCI, 36.5%. We compared each variable between NC and O-MCI, using logistic regression analysis, adjusted for gender and age. RESULTS: The majority of all the groups were independent of IADL. The O-MCI characteristics were increased depressive symptom, worse self-rated health, lower systolic blood pressure, poorer intellectual activities, no hobbies, weaker grip strength, and slower than usual walking speed compared to the NC group. CONCLUSIONS: Older persons with O-MCI defined by MoCA-J have partially decreased cognition and physical and sociopsychological functions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".