Table 4.
Multiple regression analysis of dietary patterns as predictors of total serum PUFA status (mg/mL) (n = 268) total g/day.
| Dietary Pattern 1 | Dietary Pattern 2 | Dietary Pattern 3 | Dietary Pattern 4 | |||||
|---|---|---|---|---|---|---|---|---|
| PUFA (mg/mL) | β | 95% CI | β | 95% CI | β | 95% CI | β | 95% CI |
| LA | −0.045 | (−0.049, 0.026) | 0.089 | (−0.011, 0.057) | −0.033 | (−0.041, 0.024) | −0.081 | (−0.053, 0.011) |
| AA | −0.001 | (−0.010, 0.010) | 0.067 | (−0.004, 0.014) | −0.006 | (−0.009, 0.009) | −0.030 | (−0.011, 0.007) |
| ALA | −0.054 | (−0.001, 0.000) | 0.106 | (0.000, 0.001) | −0.119 | (−0.001, 0.000) | 0.290 | (0.001, 0.002) * |
| EPA | −0.069 | (−0.002, 0.001) | 0.045 | (−0.001, 0.001) | 0.088 | (0.000, 0.002) | −0.025 | (−0.001, 0.001) |
| DHA | −0.103 | (−0.020, 0.003) | 0.134 | (0.001, 0.022) * | −0.031 | (−0.013, 0.007) | −0.157 | (−0.023, −0.003) * |
| Total n-6 | −0.039 | (−0.054, 0.030) | 0.095 | (−0.010, 0.067) | −0.031 | (−0.046, 0.027) | −0.078 | (−0.060, 0.013) |
| Total n-3 | −0.108 | (−0.021, 0.003) | 0.139 | (0.001, 0.023) * | −0.028 | (−0.013, 0.008) | −0.138 | (−0.022, −0.002) * |
| n-6:n-3 ratio | 0.058 | (−0.144, 0.340) | −0.059 | (−0.320, 0.121) | 0.018 | (−0.179, 0.240) | 0.055 | (−0.116, 0.301) |
Multiple linear regression adjusting for age, BMI, energy intake, and Hollingshead socioeconomic status; * significant results p < 0.05.