Ethnic Differences in the Prevalence of Hypertension in Colombia: Association With Education Level
Bibliographic record
Abstract
BACKGROUND: A higher prevalence of hypertension is reported among Afro-descendants compared with other ethnic groups in high-income countries; however, there is a paucity of information in low- and medium-income countries. METHODS: We evaluated 3,745 adults from 3 ethnic groups (552 White, 2,746 Mestizos, 447 Afro-descendants) enrolled in the prospective population-based cohort study (PURE)-Colombia. We assessed associations between anthropometric, socioeconomic, behavioral factors, and hypertension. RESULTS: The overall prevalence of hypertension was 39.2% and was higher in Afro-descendants (46.3%) than in Mestizos (37.6%) and Whites (41.5%), differences that were due to the higher prevalence in Afro-descendant women. Hypertension was associated with older age, increased body mass index, waist circumference and waist-to-hip ratio, independent of ethnicity. Low education was associated with hypertension in all ethnic groups, and particularly in Afro-descendants, for whom it was the factor with the strongest association with prevalence. Notably, 70% of Afro-descendants had a low level of education, compared with 52% of Whites-26% of Whites were university graduates while only 7% of Afro-descendants were. We did not find that education level alone had a mediator effect, suggesting that it is not a causal risk factor for hypertension but is an indicator of socioeconomic status, itself an important determinant of hypertension prevalence. CONCLUSIONS: We found that a higher prevalence of hypertension in Colombian Afro-descendants than other ethnic groups. This was principally associated with their lower mean educational level, an indicator of lower socioeconomic status.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".