| Title: | Ethnic differences in cardiovascular risk: examining differential exposure and susceptibility to risk factors |
| Journal: | BMC Medicine |
| Published: | 27 Apr 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35473626/ |
| DOI: | https://doi.org/10.1186/s12916-022-02337-w |
| URL: | https://bmcmedicine.biomedcentral.com/counter/pdf/10.1186/s12916-022-02337-w |
Publication 8165
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Abstract
BackgroundEthnic differences in cardiovascular disease (CVD) risk have been known for decades, but a systematic exploration of how exposure and susceptibility to risk factors may contribute is lacking. This study aimed to investigate the potential impact of differential exposure and susceptibility between South Asian, Black, and White individuals.MethodsThis is a population-based prospective cohort study of UK Biobank participants with a median follow-up of 11.3 years. The association between ethnic group and CVD risk was studied. Additional risk factors were then adjusted to examine mediations. Moderation analysis was conducted to identify whether risk factors had a stronger association in the ethnic minority groups. Population attributable fractions were also calculated to quantify the relative contributions of risk factors for each ethnic group.ResultsWhen adjusted for only age and sex, there was a higher risk of CVD among South Asian (n=8815; HR [95% CI] 1.69 [1.59-1.79]) and Black (n=7526; HR [95% CI] 1.12 [1.03-1.22]) compared with White participants (n=434,809). The excess risk of Black participants was completely attenuated following adjustment for deprivation. Compared with White participants, the associations of BMI, triglycerides, and HbA1c with CVD were stronger in South Asians. Adiposity was attributable to the highest proportion of CVD regardless of ethnicity. Smoking had the second largest contribution to CVD among White and Black participants, and HbA1c among South Asian participants.ConclusionsAdiposity is an important risk factor for CVD regardless of ethnicity. Ethnic inequalities in CVD incidence may be best tackled by targeting interventions according to ethnic differences in risk profiles.7 Authors
- Frederick K. Ho
- Stuart R. Gray
- Paul Welsh
- Jason M. R. Gill
- Naveed Sattar
- Jill P. Pell
- Carlos Celis-Morales
1 Application
| Application ID | Title |
|---|---|
| 7155 | Epidemiology of mental health, cognitive function, pain and cardiometabolic disease. |
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