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Table 3 Best-fit model from stepwise linear regression predicting PON1 AREase activity using both dietary fat and other intake variables (n = 1402 subjects)

From: Dietary fatty acid intake is associated with paraoxonase 1 activity in a cohort-based analysis of 1,548 subjects

Variable Estimate ± SE % PON1 AREase variation P
(Intercept) −71.40 ± 35.70 - 0.046
PON1 C-108T −27.99 ± 2.13 13.61% <2 × 10-16
PON1 G-162A −2.42 ± 2.40 0.11% 0.31
PON1 Q192R −12.73 ± 2.24 1.92% 1.73 × 10-8
PON1 M55L −5.50 ± 2.31 0.54% 0.017
Age −0.808 ± 0.135 3.57% 2.89 × 10-9
Sex 16.88 ± 2.77 5.45% 1.49 × 10-9
Current smoker −15.34 ± 3.88 0.70% 8.24 × 10-5
Hispanic ancestry 6.06 ± 8.27 0.001% 0.46
African ancestry −12.99 ± 5.02 0.58% 0.0097
Asian ancestry −5.44 ± 5.29 0.015% 0.30?
Insulin use −13.07 ± 5.76 1.02% 0.023
ln(Dietary cholesterol)a,b,c 53.41 ± 6.22 4.98% <2 × 10-16
Alcohol category 6.27 ± 1.17 1.84% 1.11 × 10-7
ln(Vitamin C) 4.73 ± 1.51 0.23% 0.0018
Iron −0.219 ± 0.0794 0.54% 0.0057
Folate −0.00904 ± 0.00466 0.19% 0.053
ln(Myristic acid (14:0) intake)a 8.95 ± 4.05 0.41% 0.027
ln(Gadoleic acid (20:1) intake)b 46.78 ± 12.60 0.27% 0.00021
ln(Arachidonic acid (20:4) intake)c −34.17 ± 21.56 0.15% 0.11
ln(Eicosapentaenoic acid (20:5) intake) −36.96 ± 14.24 0.36% 0.0096
  1. aln(Dietary cholesterol) was significantly correlated (p < 0.001) with ln(Myristic acid) (r = 0.64).
  2. bln(Dietary cholesterol) was significantly correlated (p < 0.001) with ln(Gadoleic acid) (r = 0.33).
  3. cln(Dietary cholesterol) was significantly correlated (p < 0.001) with ln(Arachidonic acid) (r = 0.82).