Table 4.
Correlation analysis of serum concentration of EPA.
| Model | B(unstandardized) | S.E. | Beta(standardized) | t | 95% CI for B | P value |
|---|---|---|---|---|---|---|
| (Constant) | 299.53 | 53.53 | — | 5.60 | 193.95, 405.12 | <0.001 |
| DHA_G | 671.97 | 78.27 | 0.52 | 8.59 | 517.58, 826.36 | <0.001 |
| Alcohol intake | −205.86 | 97.69 | −0.13 | −2.11 | −398.543, −13.18 | 0.036 |
Linear regression analysis. The continuous variable “EPA” was set as the dependent variable (y). The 16 covariates were age, gender, smoking habit, alcohol intake, BMI, hypertension, diabetes mellitus, RBC, Hb, ALB, DHA_G, K, ACEIs (0 = no take, 1 = take), CCBs (0 = no take, 1 = take), Statins (0 = no take, 1 = take), and PPIs (0 = no take, 1 = take). B, unstandardized partial regression coefficient; S.E., standard error for B; Beta, standardized partial regression coefficient; t, t-test value. R2 = 0.288.