Aerobic exercise combined with memory strategy training improve the cognitive function
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes mellitus (T2DM) is closely associated with the occurrence of cognitive impairment, imposing a heavy burden on the patient's family and society. Aerobic exercise and targeted memory strategies have been widely reported to improve cognitive function. METHODS: A total of 122 T2DM patients with Montreal Cognitive Assessment Scale (MoCA) test scores of less than 26 received the aerobic exercise combined with memory strategy training. After 6 months of intervention, a final group of 113 patients entered the final evaluation and analysis. Diabetes-specific quality of life scale (DSQL) and activities of daily living (ADL) assessments were performed to evaluate the life quality of the patients. RESULTS: The scores of MoCA and ADL were significantly upregulated, and the scores of DSQL were significantly reduced after the 6-month intervention of T2DM patients. The levels of fasting plasma glucose (FPG), hemoglobin A1c, total cholesterol (TC), and triglyceride (TG) levels of T2DM patients with cognitive impairment significantly decreased post intervention. A significant decrease in low density lipoprotein cholesterol (LDL-C) and an increase in high density lipoprotein cholesterol (HDL-C) were observed. The FPG, HbA1, TC, TG, and LDL-C levels were significantly lower, and the HDL-C levels were significantly higher in patients with normal cognitive function than in patients with abnormal cognitive function. CONCLUSIONS: Aerobic exercise combined with memory strategy training effectively improved the memory and cognitive function in patients with T2DM.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".