The prevalence and predictors of self-care behaviours among type 2 diabetic patients in two Iraqi provinces
Bibliographic record
Abstract
Background.The link between health beliefs and health behaviours, which includes changing diet, exercise, regular selfmedication, self-monitoring of blood glucose, investigation and examination programmes, helps in raising the level of social health awareness, as well as focuses on the individual's role in being responsible for his health.Objectives.To evaluate self-care activities among patients with type 2 diabetes mellitus in the Wasit and Dhi-Qar provinces.Material and methods.This analytic cross-sectional study was directed at patients with type 2 diabetic mellitus.The sample was collected from patients who visited Diabetes and Endocrinology centres in the Wasit and Dhi-Qar provinces.Data was collected via a questionnaire based on the "Arabic Summary of Diabetes Self-Care Activities" (A-SDSCA), which consisted of questions related to self-management. Results.The results were based on the analysis of 404 samples of patients previously diagnosed with type 2 diabetes mellitus.Only 75 (18.6%)had controlled blood glucose.The best self-care practice was diet, with a mean score ± SD (3.17 ± 2.43), followed by testing blood sugar (2.83 ± 2.19).The most frequent advice received from health givers was to follow a meal plan with low-fat contents, which was mentioned by 90.6% of the patients.The participants with the lowest educational level were less likely to undertake appropriate self-management for diabetes (p = 0.026). Conclusions.The educational level was the significant predictor of self-care behaviours among patients with type 2 diabetes mellitus.It is necessary to increase health education to manage diabetes and change lifestyle through healthcare organisations, as well as through the use of social media.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".