Prevalence And Awareness Of Hypertension Among Patients, Above 40 Years In Medical Ward Of Divisional Head Quarter Teaching Hospital Mirpur
Bibliographic record
Abstract
<strong><em>Introduction</em></strong>: <em>It</em><em> is a medical condition in which the blood pressure in the arteries is persistently elevated.</em> <em>Hypertension is becoming an important public health problem worldwide. However, only a few studies included elderly people, and fewer still have focused exclusively on this segment of the population.</em> <strong><em>Objective</em></strong><em>: The objectives of the present investigation were to evaluate the prevalence and awareness among elderly individuals of medical ward</em> <strong><em>Methodology</em></strong>: <em>Study Design is </em><em>Cross sectional study<strong>. </strong>This study is conducted in divisional head quarter teaching hospital Mirpur AJK. Sample Size is 100 patients. Sampling Technique is Convenient sampling.</em><em> Questionnaire comprises of 20 questions, was used to find prevalence and awareness of Hypertension among elderly patients of divisional head quarter teaching hospital Mirpur. </em><em>Data has been analyzed by using SPSS 20. Results will be described in percentage and frequencies. Data will be described by PIE charts and tables.</em> <strong><em>Results</em></strong><em>: Results show that among 100 sample patients, most of the patients are of ages between 40-50 years (52%), while prevalence of hypertension is more in patients with ages between 51-60 years (64.7%).As the entire sample patients are above the age of 40 years so 100% are married.</em> <em>Fatty diet habits and sedentary life style are the risk factors among the patients belong to good socioeconomic status.</em> <strong><em>Conclusion</em></strong><em>: The study depicts that there is always an overall flow of hypertension among the old guys/individuals of ages between 40-50years. Old persons living in the good socioeconomic and urban areas owned more hypertension. </em>
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".