Phase Angle Predicts Mild Cognitive Impairment In Female Health Screening Participants; Elder-safe Study Kyoto
Bibliographic record
Abstract
In recent years, the relationship between skeletal muscle and cognitive function has attracted much attention. However, it is unclear which skeletal muscle measures are appropriate for predicting mild cognitive impairment (MCI). PURPOSE: To explore skeletal muscle indices that may predict MCI. METHODS: This cross-sectional study included 263 participants (163 men and 100 women) who underwent general health examinations at the Takeda Hospital Health Examination Center from August to November 2022. Consent was obtained from the participants. Body weight, appendicular skeletal muscle mass (ASM) and phase angle (PhA) were measured using a multi-frequency bioimpedance analysis device. Handgrip strength (HGS) was measured using the Smedley grip force system. Global cognitive function was evaluated using the Japanese version of Montreal Cognitive Assessment (MoCA-J) through face to face interviews. We investigated the predictive ability of five skeletal muscle indices (ASM/ht2, ASM/BMI, HGS, HGS/ upper extremity skeletal muscle mass, PhA) for MCI and the association between skeletal muscle indices and MCI, using MoCA-J scores of 25 or less as the outcome. RESULTS: In the ROC analysis, grip strength in men (area under the curve 0.603, p < 0.05) and ASM/ht2 and PhA in women had significant predictive ability for MCI (area under the curve 0.630 and 0.771, all p < 0.05). Furthermore, logistic regression analysis showed that the significant association between HGS and MCI in men disappeared after adjustment by cofounders (age, metabolic parameters, exercise habits, smoking habits, and drinking habits) [odds ratio (OR) = 0.976, 95%CI: 0.920-1.035]. In contrast in women, the significant association between ASM/ht2 and MCI disappeared after adjustment by the confounders [OR = 0.959, 95%CI: 0.814-1.130], while the significant association between PhA and MCI was persisted even after the adjustment (OR = 0.815, 95%CI: 0.702-0.945). CONCLUSIONS: Phase angle significantly predicted MCI in women regardless of age, metabolic parameters and lifestyle. This indicates that Phase angle may be a useful MCI screening indicator in female health screening participants.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".