Correlation analysis between sleep quality and mild cognitive impairment in elderly patients with type 2 diabetes mellitus
Bibliographic record
Abstract
Objective To investigate the relationship between sleep quality and mild cognitive impairment(MCI) in elderly patients with type 2 diabetes mellitus(T2DM).Methods We collected 97 elderly patients with type 2 diabetes mellitus and divided them into two groups: MCI group(DM-MIC) and normal cognition group(DM-NC group).All subjects were evaluated with cognition scores of Mini-mental state examination(MMSE),Montreal Cognitive Assessment(MOCA),Self-Rating Anxiety Scale(SAS),Center for Epidemiogical Studies Depression Scale(CES-D),Activity of daily living(ADL),Global Deterioration Scale(GDS),and Pittsburgh sleep quality index(PSQI).Independent t-test and Spearman's rank correlation analysis were performed.Results The hypnotic use in DM-MCI group was significantly more than that in DM-NC group(P=0.046),and it had a negative correlation with the score of delayed recall,but not statistically significant(r=-0.277,P=0.062).Significantly negative correlations were also found between the score of PSQI and MOCA(r=-0.362),PSQI and attention(r=-0.319),PSQI and delayed recall(r=0.409),daytime dysfunction and MOCA(r=-0.393),daytime dysfunction and abstraction(r=-0.337),night sleep disorders and language(r=-0.439),sleep efficiency and delayed recall(r=-0.325),and subjective sleep quality and delayed recall(r=-0.336) in DM-MCI group(P0.05).Conclusion Sleep quality is correlated with some symptoms of mild cognitive impairment in elderly patients with T2DM.
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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 | 0.000 | 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 | 0.001 |
| 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 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".