Racial and Ethnic Disparities in Primary Prevention of Cardiovascular Disease
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
Cardiovascular disease (CVD) disproportionately affects ethnic minority groups globally. Ethnic minority groups face particularly high CVD burden and mortality, exacerbated by disparities across modifiable risk factors, wider determinants of health and limited access to preventative interventions. This narrative review summarises evidence on modifiable risk factors such as physical activity, hypertension, diet, smoking, alcohol, diabetes and the polypill for the primary prevention of CVD in ethnic minorities. Across these factors, we find inequities in risk factor prevalence. The evidence underscores that inequalities in accessibility to interventions and treatments impede progress in reducing CVD risk using primary prevention interventions for ethnic minority people. While culturally tailored interventions show promise, further research is required across the different risk factors. Social determinants of health and structural inequities also exacerbate ethnic minority people’s CVD risk and warrant greater attention. Additionally, we find there is limited ethnicity-specific data and guidelines on CVD primary prevention interventions for most risk factors. To address these gaps in research, we provide recommendations which include: investigating the sustainability and real-world effectiveness of culturally sensitive interventions, ensuring ethnic minority peoples’ perspectives in research are considered, longitudinal tracking of risk factors, interventions and outcomes in ethnic minority people and ensuring data collection and reporting of ethnicity data is standardised. Cardiovascular disease (CVD) disproportionately affects ethnic minority groups globally. Ethnic minority groups face particularly high CVD burden and mortality, exacerbated by disparities across modifiable risk factors, wider determinants of health and limited access to preventative interventions. This narrative review summarises evidence on modifiable risk factors such as physical activity, hypertension, diet, smoking, alcohol, diabetes and the polypill for the primary prevention of CVD in ethnic minorities. Across these factors, we find inequities in risk factor prevalence. The evidence underscores that inequalities in accessibility to interventions and treatments impede progress in reducing CVD risk using primary prevention interventions for ethnic minority people. While culturally tailored interventions show promise, further research is required across the different risk factors. Social determinants of health and structural inequities also exacerbate ethnic minority people’s CVD risk and warrant greater attention. Additionally, we find there is limited ethnicity-specific data and guidelines on CVD primary prevention interventions for most risk factors. To address these gaps in research, we provide recommendations which include: investigating the sustainability and real-world effectiveness of culturally sensitive interventions, ensuring ethnic minority peoples’ perspectives in research are considered, longitudinal tracking of risk factors, interventions and outcomes in ethnic minority people and ensuring data collection and reporting of ethnicity data is standardised.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| 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 it