The Cross-Sectional Study of Self Efficacy, Diet Compliance, and Blood Sugar Levels on Diabetes Mellitus Patients in Indonesia
Bibliographic record
Abstract
Diabetes mellitus (DM) has become a global health problem because the prevalence of diabetes mellitus continues to increase. Data from the West Sumatra Provincial Health Office (2018), DM cases totalled 44,280 cases, with a DM prevalence of 1.6% in 2018. Self-efficacy plays an important role in controlling blood sugar levels. Lack of self-efficacy causes the patient's blood sugar levels to become abnormal, resulting in a risk of complications. This research aims to study the relationship between self-efficacy and diet compliance with blood sugar levels in DM patients at the Andalas Public Health Center, Padang City. The research method is descriptive-analytic with a cross-sectional approach, with a total sample of 75 people. The results showed that 78.7% of the respondents have hyperglycemia, 72.0% with non-compliant to their diet limitation, and 68.0% with low self-efficacy. A relationship exists between diet compliance and blood sugar levels in type 2 DM patients. There is a relationship between self-efficacy and blood sugar levels in type 2 diabetes mellitus patients at the Padang Andalas Public Health Center in 2022.
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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 | 0.001 | 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 | 0.001 | 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".