Prevalence of and risk factors for hypertension in Ethiopia: A systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: A number of epidemiological studies were performed to know the prevalence of and the risk factors for hypertension. However, these studies reported inconsistent results. As a result, this systematic review and meta-analysis were planned to generate representative data on the prevalence of and risk factors for hypertension among the Ethiopian adult population. METHODS: Five electronic databases, namely, PubMed, Science Direct, Google Scholar, Hinari, and African Journals Online, were searched for studies published in English from 1 January 2010 to 31 August 2020. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument and Newcastle-Ottawa scale were used for data extraction and quality assessment for this review. Stata version 14 statistical software was used for the analysis, and due to high heterogeneity a random effects model was used for meta-analysis at 95% confidence interval (CI). RESULTS: value of 96.1%. Older age (≥40 years) (adjusted odds ratio [AOR]: 3.46 [95% CI: 2.67, 4.49]), urban residence (AOR: 1.47 [95% CI: 1.28, 1.70]), educational status less than grade 12 (AOR: 1.67 [95% CI: 1.38, 2.01]), family history of hypertension (AOR: 4.33 [95% CI: 2.95, 6.34]), diabetes mellitus (DM) (AOR: 5.18 [95% CI: 3.01, 8.88]), body mass index (BMI) ≥25 (AOR: 3.79 [95% CI: 2.61, 5.50]), central obesity (AOR: 1.91 [95% CI: 1.09, 3.36]), and alcohol consumption (AOR: 1.72 [95% CI: 1.26, 2.34]) were the identified risk factors for hypertension. CONCLUSION: The pooled prevalence of hypertension is relatively higher as compared to the previous reports in Ethiopia. Older age, urban residence, lower educational coverage, family history of hypertension, DM, BMI ≥25, alcohol consumption, and central obesity were the risk factors for hypertension. The governments and stakeholders should design an appropriate strategy to prevent and control the disease in the Ethiopian population.
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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) | 0.012 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it