Additive Interaction Between Potentially Modifiable Risk Factors And Ethnicity In The Han, Tujia and Miao Populations With First-Ever Ischemic Stroke
Abstract Background: As a country with one-fifth of the global population, China has had explosive growth in ischemic stroke burden with significant ethnic and geographic disparities. The aim of this study was to examine the relative risk of potentially modifiable risk factors for ischemic stroke among the Han population and two ethnic minorities (Tujia and Miao).Methods: A case-control study was conducted: 324 cases of first-ever IS from the hospitals of the Xiangxi Tujia and Miao Autonomous Prefecture and 394 controls were surveyed using structured questionnaires from communities covering the same area. Univariate and multivariate logistic regression analyses with adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were used to examine the association between risk factors and ischemic stroke. The additive model was used to study the interaction between the modifiable risk factor and ethnicity in the R software.Results: Higher high-sensitivity C-reactive protein level(OR 50.54, 95%CI 29.76-85.85), higher monthly family income(4.18, 2.40-7.28), increased frequency of hot pot consumption (2.90, 1.21-6.93), diabetes mellitus (2.62, 1.48-4.62), higher apolipoprotein(Apo)B/ApoA1 ratio(2.60, 1.39-4.85), hypertension(2.52, 1.45-4.40) and moderate-intensity physical activity(0.50, 0.28-0.89) were associated with ischemic stroke. There is an additive interaction between ApoB/ApoA1 ratio and ethnicity in Tujia and Miao populations with first-ever ischemic stroke (the relative excess risk due to interaction was 5.75, 95%CI 0.58~10.92; the attributable proportion due to interaction was 0.65, 95%CI 0.38~0.91; the synergy was 3.66, 95%CI 1.35~9.93). Conclusions: It is the first case-control study examining modifiable risk factors for ischemic stroke among the Han population and two ethnic minorities (Tujia and Miao) in China, some differences were observed in the impact of risk factors among these ethnic groups. Our results may help interpret health-related data, including surveillance and research, when developing strategies for stroke prevention.