Hubungan Karakteristik Pasien Diabetes Melitus Tipe 2 dengan Gangguan Fungsi Kognitif di Puskesmas Andalas
Bibliographic record
Abstract
Type 2 Diabetes Mellitus (T2DM) is a metabolic disease that can cause various complications, one of which is cognitive dysfunction. Specific characteristics in T2DM patients can be risk factors for cognitive dysfunction, such as sex, age, employment status, education level, duration of diagnosis, comorbidity status, and degree of treatment adherence. Objective: To determine the association between the characteristics of Type 2 DM patients and cognitive dysfunction. Methods: This study used an observational analytical method with a cross-sectional study design conducted on 104 Type 2 DM patients at the Andalas Community Health Center, Padang, who met the inclusion and exclusion criteria. This study utilized the Montreal Cognitive Assessment-Indonesia (MoCA-Indonesia) questionnaire to evaluate the cognitive level of patients. This study was conducted from January to October 2024. Results: The Chi-square test showed a significant association between employment status (p = 0.038) and education level (p = 0.046) and cognitive dysfunction. Meanwhile, there is no significant association between sex (p = 1.000), age (p = 0.456), duration of diagnosis (p = 1.000), comorbidity status (p = 1.000), and degree of treatment adherence (p = 0.188) with cognitive dysfunction. Conclusion: Employment status and education level are significantly associated with cognitive impairment. Keywords: cognitive dysfunction, T2DM, patient characteristics
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".