An Investigation of Hypertension Risk Factors among Adults in Oshikoto Region in Namibia
Bibliographic record
Abstract
INTRODUCTION: Hypertension complications are responsible for 9.4 million deaths worldwide and among these deaths, 51 % are due to stroke and 45% are due to heart disease like heart failure. This study aims to investigate the hypertension risk factors among adult in Oshikoto region, Namibia. METHODS: A community population-based, cross- sectional survey was conducted using WHO STEPwise approach among 375 adults in Oshikoto region. Bivariate and multivariate analysis was done to determine the association between risk factors and Hypertension, based on p-value <0.05. RESULTS: Overall prevalence for risk factors was: physical inactivity (25.3%), unhealthy diet (75.7%), tobacco use (9.1%), harmful use of alcohol (40.8%). 20.5% overweight with majority (85.7%) of them were females. Obesity was 9.1% in which 91.2% were females. Hypertension prevalence was 24.3%. Four percent of individuals were having two multiple risk factors for hypertension, 2.4% with four risk factors and 1.1% with more than four risk factors. Age group (OR=2.48, 95%CI=1.44-4.26, P=0.001), Obesity (OR=3.48, 95%CI=1.55-7.79, P=0.003), and overweight (OR=2.34, 95%CI=1.31-4.19, P =0.004) were significant risk factors for hypertension. CONCLUSIONS: This study revealed a high prevalence and burden of hypertension risk factors such as obesity and overweight among adults in Oshikoto region, thus, these results highlight the need for interventions to reduce and prevent those risk factors of hypertension in Oshikoto region, Namibia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".