The influence of TCM constitutions and neurocognitive function in elderly Macau individuals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Traditional Chinese medicine (TCM) constitution contributes to predicating disease occurrence and pathological progress. In this study, we investigate the correlation between TCM constitution and neurocognitive function in elderly Macau individuals. METHODS: A total of 313 older adults from elderly healthcare centers were recruited at random. The data of gender, age, education, sleeping hours, physical activities were collected, and the Geriatric Depression Scale, Hong Kong version of the Montreal Cognitive Assessment (MoCA) and categories of TCM constitution were administered. RESULTS: Of the 313 elderly individuals enrolled in this study, 86 (27.48%) were of balanced constitution. Among the other categories of TCM constitution, the most was Yin-deficiency (23.32%), followed by 53 (16.93%) with Phlegm-dampness. The average neurocognitive score of all elderly individuals was 18.01 ± 6.25. After adjusting for all possible confounds, multiple linear regression analysis showed that Qi-depressed constitution and neurocognitive scores were negatively correlated (β = - 2.66, 95%CI - 4.99 ~ - 0.33), Meanwhile, Yin-deficient constitution and neurocognitive scores were negatively correlated (β = - 2.10, 95%CI - 3.73 ~ - 0.47). Compared with balanced constitution, Qi-depressed constitution mainly affected visual-spatial ability dimension (β = - 0.91, 95%CI - 1.54 ~ - 0.28) and naming dimension (β = - 0.64, 95%CI - 1.04 ~ - 0.25), Yin-deficient constitution mainly affected visual space dimension (β = - 0.53, 95%CI - 0.97 ~ - 0.08). CONCLUSION: Qi-depressed and Yin-deficient constitutions are associated with and contributed to the decline of neurocognitive function in senior adults, especially visual-spatial ability and naming dimensions. Further investigations into how TCM constitutions interact with neurocognitive function are needed.
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.
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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it