Beliefs about hypertension among Nigerian immigrants to the United Kingdom: A qualitative study
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to elicit beliefs about hypertension among Nigerian immigrants in the United Kingdom. BACKGROUND: The distributions of cardiovascular risk factors and diseases are not shared equally across ethnic and economic groups in the United Kingdom. Its burden is more clustered among minority ethnic populations and migrant groups including black African Nigerian migrants. Similar patterns have been reported across Europe, Australia, Canada, Nordic countries and the United States of America. There are about 300 distinct ethnic groups in Nigeria and reliable information about their beliefs about hypertension is not available. Given that the United Kingdom has a large community of Nigerian immigrants from these different ethno-cultural backgrounds, understanding their unique beliefs about hypertension may help promote appropriate care for this population in the United Kingdom and Nigeria. SETTING: A single Pentecostal church community in West London. PARTICIPANTS: Twenty-seven Nigerian migrant members of the church entered and completed the study. METHODS AND OUTCOME MEASURE: A qualitative interview study was conducted. The interviews were analysed using thematic framework analysis. The outcome measures were emerging themes from the thematic framework analysis. RESULTS: Participants expressed beliefs in four major areas related to hypertension: (1) The Meaning of the term hypertension, (2) Perceptions of causation, (3) Effects of hypertension, and (4) Perceptions of treatment. The study revealed a diversity of beliefs about hypertension which incorporated both orthodox and culturally framed ideas. CONCLUSIONS: This study identified important beliefs among Nigerian migrants about hypertension that can contribute to our understanding of the management of hypertension in this group and suggests the need for further research to determine whether these beliefs may be representative of this group.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".