Examining the Risk Factors Associated With Hypertension Among the Elderly in Ghana
Bibliographic record
Abstract
OBJECTIVE: This study sought to examine the risk factors associated with hypertension among the elderly in Ghana. We focused on the association between chronic diseases, socioeconomic factors, and being hypertensive. METHOD: Data for the study were drawn from Wave 1 of the 2007/2008 Ghana Study on Global Ageing and Adult Health (SAGE). A binary logit model was used to estimate the effect of other noncommunicable diseases, psychosocial factors, lifestyle factors, and sociocultural and biosocial factors on the elderly being hypertensive. RESULTS: Elderly Ghanaians who had been diagnosed with arthritis, angina, diabetes, and asthma were significantly more likely to be hypertensive. Additionally, those depressed were found to be 1.22 times more likely to be hypertensive. DISCUSSION: Prevention and control of hypertension are complex and demand multistakeholder collaboration including governments, educational institutions, media, food and beverage industry, and a conscious focus on personal lifestyle factors.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| 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".