HUBUNGAN KECEMASAN DENGAN KADAR GLUKOSA DARAH PENDERITA DIABETES MELLITUS DI WILAYAH KERJA PUSKESMAS SUMBERSARI BANTUL KEC. METRO SELATAN KOTA METRO
Bibliographic record
Abstract
Diabetes mellitus is a chronic metabolic disorder marked increase in blood glucose. According to the World Health Organization (WHO) in 2013 the incidence of diabetes mellitus in the world reached 347 million people in Indonesia alone ranks among the seven countries with the highest diabetes prevalence of 7.6 million people. Among the causes of the increase in blood glucose levels in diabetics is due to psychological factors, namely anxiety. In the pre-survey results in Puskesmas Sumbersari Bantul note that from 8 patients with diabetes mellitus, there are 6 people experiencing anxiety and 2 do not complain any signs of anxiety. The purpose of this study was to determine the relationship of anxiety with blood glucose levels of diabetics mellitus in Puskesmas Sumbersari Bantul District of South Metro City. The type quantitative research, form design used is cross sectional. The population in this study are patients with diabetes mellitus in Puskesmas Sumbersari Bantul District of South Metro totaling 408 samples taken as many as 41 people. The analysis in this study using the test Person Product Moment. Statistical analysis showed that anxiety patients with diabetes mellitus are at an average score of 27.44 with a standard deviation of 4.353 and the average blood sugar levels of people with diabetes mellitus are at 339.78 mg / dL with a standard deviation of 74.742. In the Person Product Moment test results proved no relationship anxiety with blood sugar levels of people with diabetes mellitus (p-value = 0.000
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".