Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult
Bibliographic record
Abstract
Background: Hypertension (HTN) is recognized as a global healthcare challenge. It is considered as the leading mortality inducing factor for coronary heart disease, stroke, congestive heart failure, renal diseases, and retinopathy. Objective: The study aims to assess the hypertension prevalence among adults in Khartoum, Sudan. It also examined the potential risk factors that are associated with hypertension. Methods: The study employed a cross-sectional research design using a quantitative approach. A questionnaire-based survey was conducted among 138 adults aged 16-75 years, from March-April 2015, in the Riyadh district of Khartoum, Sudan. Using simple random sampling, the study recruited the participants from ward number 5 of Riyadh municipality. Data were collected related to the socio-demographic factors and hypertension risk factors. Results: The findings showed a prevalence of 28 percent, whereas the majority of hypertension cases were reported for the age group from 45-60 years group (13.7%). The findings revealed a substantial impact of age, stress, social status, and diabetes on hypertension with a p-value of 0.001, 0.010, 0.001, and 0.50, respectively. Conclusions: It concludes that more research needs to be conducted for the analysis of the factors which can assist the detection of hypertension. It also stresses towards instigation of the awareness programs with effective preventive interventions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".