The Relationship Between The Physical Environment and Quality of Life for Patients With Type 2 Diabetes Mellitus
Bibliographic record
Abstract
Background: Diabetes Mellitus (DM) is a chronic disease with a high mortality rate and can affect a person's quality of life. One of the factors determining the quality of life is the physical environment, such as temperature, humidity, lighting, noise, and PM2,5. Objective: To determine the relationship between the physical environment and the quality of life of type 2 DM patients at the Barombong Community Health Center, Makassar City. Materials and Methods: This research uses a study design case-control with purposive sampling. Interviews were conducted with the WHOQol questionnaire and measuring the physical environment in 138 patients with type 2 diabetes then analyzed with the odd ratio test and logistic regression on the Stata application. Results: The results obtained showed a non-significant relationship for the variables humidity, lighting and PM2,5 on the quality of life of type 2 DM patients due to value-p > 0.05 while the variables related to the quality of life of type 2 DM patients are house temperature (OR=4.833; 95% CI: 2.121-11.481) and noise (OR=4.723; 95% CI: 2.075-10.895) with a probability of type 2 DM with unqualified temperature and noise having a poor quality of life of 73.9%. Conclusion: The most significant factor that affects the quality of life of people with type 2 diabetes mellitus is their home temperature.
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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 | 0.004 | 0.013 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".