Clinical Study on Relationship between Metabolic Syndrome and Mild Cognitive Impairment
Bibliographic record
Abstract
Objective To investigate the relationship between metabolic syndrome(MS)and mild cognitive Impairment(MCI).Methods 124 clinical MS subjects for research group,and 71 non-MS for control,who matched in age,sex and education.According to MCI diagnostic standards of Petersen,all cases were selected into the MCI group and cognitive function normal group(NC group).With each metabolic abnormalities,MS subjects were scored 1 point and divided into five groups according to scores 0 ~1,2,3,4,5.Results(1)MCI incidence in MS was higher than in non-MS(P0.01).The higher metabolic score in MS,the higher MCI incidence(P0.01).(2)Indicators of metabolic abnormalities in MCI were serious thants in NC(P0.05),and ISI is lower than in NC(P0.05).(3)Scores of MMSE,MoCA,CMS and its componen in MS were lower than in non-MS(P0.05).(4)Multivariate regression and logistic regressive analysis showed that all scores about cognition(except for Image Free Recall)were correlated negatively with MS,and with FIN(except for Point To Memory,Memories Of Portrait Features).Scores of MMSE and MoCA were correlated negatively with blood pressure.The relationship still remains while diadetes patients were excluded,but the scores above were notcorrelated with FIN.(5)Education,insulin resistance and MS eventually enter the logistic equation(the regression coefficients are-0.460 /0.855 /1.289).Conclusion(1)MS impacts on various aspects of the cognitive function.Impacting on mild cognitive,MS as a whole is greater than the function of each component.(2)High level of education is a protective factor for MCI,and MS and insulin resistance is independent risk factor for MCI.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".