The influence of the disclosure of diabetes on the cognitive, physical ability and diabetes self‐management in diabetic employed adults in Saudi Arabia
Bibliographic record
Abstract
BACKGROUND: Diabetes is a serious medical condition that may cause blindness, renal failure and amputation of the lower limbs, stroke and myocardial infarction. The global incidence of diabetes increases continuously. The self-management of diabetes can be problematic and burdensome, especially if employed individuals choose not to reveal their illness. The workplace has been highlighted as an important element that may impact how employed individuals, diagnosed with diabetes and managed their illness. AIM: To describe the influence of diabetes disclosure on the cognitive, physical ability and diabetes self-management of employed adults with diabetes in Saudi Arabia. DESIGN: A descriptive correlational study. METHODS: This study used a self-administered questionnaire, including the Checklist Individual Strength and Perceived Diabetes Self-Management Scale, for data collection. The sample size was 250 employed adults with diabetes. The data were analysed using descriptive statistics, Spearman's correlation coefficient and bivariate analysis. RESULTS: A significant correlation was found between diabetes self-management and support from co-workers (r = .55, p < .05), and the employees who received more support from their co-workers were able to perform diabetes self-management. The results also indicate that employees who received support at their workplace reported improved concentration, motivation and activity (r = .41, p < .05). CONCLUSION: It is essential for top management and policymakers to implement supportive programmes in the workplace, and considering a constant, not rotating, work schedule.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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".