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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).