[Correlations among metabolic syndrome and mild cognitive impairment].
Bibliographic record
Abstract
OBJECTIVE: To determine the correlations between metabolic syndrome (MS), its individual components and mild cognitive impairment (MCI). METHODS: We selected 168 MS patients and 150 healthy control subjects from our hospital from June 2009 to June 2010. Socio-demographic characteristic data including gender, age, education level, height, weight waist circumference and blood pressure, past history of coronary heart disease, stroke, diabetes mellitus, hypertension, hyperlipidemia and unhealthy habit of smoking and drinking, were investigated. The patient levels of fasting plasma glucose, fast insulin glycated, hemoglobin and blood lipids were measured on the next day. All subjects were evaluated with regards to the scores of Montreal cognitive assessment (MoCA), clinical memory scale (CMS), daily living skills assessment (ADL) and Hamilton depression scale (HAMD). RESULT: (1) MCI was more frequently detected in MS subjects than that in the healthy controls (24.4% vs 1.2%); (2)the scores of general MoCA and several parts of MoCA were lower in the MS subjects (scores of general 26.8 ± 0.5, EF4.40 ± 0.04, NAM2.60 ± 0.06, MEM3.60 ± 0.20, ATT5.60 ± 0.09, LANG2.60 ± 0.08, ABS1.50 ± 0.10, ORT5.40 ± 0.13)than those of the controls (scores of general 27.6 ± 0.4, EF4.50 ± 0.05, NAM2.70 ± 0.08, MEM4.20 ± 0.11, ATT5.70 ± 0.08, LANG2.60 ± 0.09, ABS1.60 ± 0.07, ORT5.40 ± 0.10). No statistically significant differences existed in the scores of general MoCA and several parts except for memory and abstract (P > 0.05). The scores of general CMS and several parts of CMS were lower in the MS subjects (scores of general 72 ± 8, memory function reflected in memory 14 ± 2, associating study 14 ± 3, free image memory 14 ± 4, recognition of meaningless figure 16 ± 3, recollection ability of human figure 14 ± 3) than those in the controls (scores of general 85 ± 7, memory function reflected in memory 16 ± 2,associating study 16 ± 3, free image memory 17 ± 3, recognition of meaningless figure 18 ± 3, recollection ability of human figure 17 ± 3). And the differences had statistical significance (P < 0.05); (3) a high degree of education was a protective factor of MCI (OR = 0.512, P = 0.011) while diabetes, insulin resistance and metabolic syndrome were the independent risk factors of MCI (OR(1) = 4.240, P(1) = 0.014; OR(2) = 7.230, P(2) = 0.023; OR(3) = 8.620, P(3) = 0.001). CONCLUSION: Diabetes mellitus and metabolic syndrome are the independent risk factors of MCI.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".