Knowledge if Cardiovascular Disease Risk Factors in Women Aged 70-20 Years with Diabetes Mellitus at a Central Hospital in Zimbabwe
Bibliographic record
Abstract
The purpose of the study was to assess the knowledge of cardiovascular disease risk factors in women aged 20 to 70 years with diabetes mellitus at a central hospital in Zimbabwe. A purposive sample of 67 women with diabetes mellitus, attending a diabetes clinic participated. An interview schedule, comprising of sixteen risk factors, adopted from the 25 item Heart Disease Fact Questionnaire and eight items, derived from literature, was used to measure heart disease risk factor knowledge and the link between diabetes and heart disease. Descriptive statistics, Pearson product moment correlation test and regression analysis were used to analyze data, at a significance level of < 0.05. Knowledge of cardiovascular disease risk factors was low (mean score = 13.4, SD = 5.7, range 0-21 out of 24), compared to earlier findings among Spanish speakers with diabetes mellitus (mean score = 17,5, SD = 5, range 0-24). Only residence was predictive of knowledge of cardiovascular disease risk factors (r = 0,308, p <.05. Thus residence is associated with increased knowledge. The effect of residence (R2 =. 095, F = 6.811, p = <. 05), explained 9.5% of the variance in knowledge of cardiovascular disease risk factors. The results showed that women with diabetes had low knowledge of established cardiovascular disease risk factors, mainly diet, family history and smoking. Provision of culturally relevant education should be prioritized to reduce cardiovascular disease risk in women with diabetes in Zimbabwe.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".