<p>Relationship Between Self-Care Behavior and Cognitive Function in Hospitalized Adult Patients with Type 2 Diabetes: A Cross-Sectional Study</p>
Bibliographic record
Abstract
Purpose: To investigate the relationship between diabetes self-care behavior and cognitive function of hospitalized young and middle-aged Chinese patients with type 2 diabetes mellitus (T2DM). Patients and Methods: In this cross-sectional study, young and middle-aged T2DM patients (age range, 35– 65 years) were recruited at 4 tertiary hospitals between July 2016 and January 2017. Data pertaining to self-care behavior and cognitive function were collected using two questionnaires (the Summary of Diabetes Self-care Activities [SDSCA] and the Montreal Cognitive Assessment [MoCA], respectively). Multivariate linear regression analysis was performed to assess the correlation between cognitive function and self-care activities. Results: A total of 140 patients with diabetes were enrolled (mean age, 53.79± 7.96 years). The mean duration of T2DM was 10.83± 6.76 years. Regarding SDSCA performance, the mean scores for foot care and blood glucose monitoring were 2.20± 2.57 and 1.98± 2.45, respectively, which were the worst; scores for exercise (4.01± 2.58) and diet (3.16± 1.89) were better, while scores for medication administration (5.26± 2.79) were the best. The prevalence of cognitive impairment was 37.9% (53 patients). After variables adjustment, delayed recall showed a significant correlation with blood sugar monitoring behavior ( B =0.224, P=0.019); visual space and executive function ( B =0.255, P =0.009) and abstraction ( B =− 0.337, P =0.001) showed a correlation with foot care behavior. Conclusion: Cognitive ability affects the self-care behavior of patients with T2DM. Assessment of cognitive function may help inform patient education interventions to improve the self-care behavior of these patients. Keywords: young and middle-aged, cognitive impairment, self-care behaviors, type 2 diabetes mellitus
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".