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. 2022 Mar 9;13:820878. doi: 10.3389/fgene.2022.820878

TABLE 4.

Changes in frequencies of food consumption from the 24-h food frequency diaries by pathogenic variant type (intention-to-treat analysis).

Nonsynonymous CG (N = 16) Nonsynonymous IG (N = 38) p* LOF CG (N = 157) LOF IG (N = 155) p* p**
Previous day’s food consumption (times a day) Δ of differences Δ of differences Δ of differences Δ of differences
Δ Sugary food and beverages +0.1 ± 0.9 −0.6 ± 1.0 0.09 −0.4 ± 1.2 −0.3 ± 1.1 0.75 0.99
Δ Refined grain products −0.4 ± 1.5 −0.6 ± 1.8 0.95 −0.4 ± 1.3 −0.6 ± 1.7 0.16 0.83
Δ Whole-grain products −0.1 ± 1.4 +0.4 ± 1.4 0.27 +0.1 ± 1.4 +0.4 ± 1.4 0.07 0.65
Δ Legumes and soy products −0.1 ± 0.6 +0.2 ± 1.1 0.55 −0.1 ± 0.6 +0.1 ± 0.8 0.13 0.74
Δ Dairy products −0.1 ± 0.9 −0.8 ± 1.1 0.04 −0.4 ± 0.9 −0.6 ± 0.1 0.04 0.91
Δ Red/processed meat −0.2 ± 0.7 −0.3 ± 0.9 0.98 −0.1 ± 0.7 −0.2 ± 0.8 0.06 0.60
Δ Total animal products −0.1 ± 1.4 −0.7 ± 2.3 0.64 −0.3 ± 1.3 −0.6 ± 1.9 0.05 0.82
Δ Fish −0.1 ± 0.9 +0.2 ± 0.9 0.31 −0.1 ± 0.8 +0.1 ± 0.8 0.26 0.51
Δ Vegetables +0.3 ± 1.7 −0.4 ± 2.8 0.43 −0.1 ± 2.0 +0.3 ± 2.1 0.23 0.30
Δ Fruits −0.1 ± 1.1 −0.2 ± 1.5 0.99 −0.1 ± 1.2 −0.1 ± 1.5 0.65 0.56
Δ Alcoholic beverages −0.1 ± 0.6 −0.1 ± 0.5 0.63 −0.1 ± 0.6 0.0 ± 0.5 0.72 0.56
Δ Nuts and seeds −0.3 ± 0.9 0.0 ± 0.9 0.20 +0.1 ± 0.2 +0.2 ± 0.8 0.11 0.05
*

p of comparison between the randomization groups: ANOVA, controlling for age (tertiles), study center and BMI, at baseline (tertiles).

**

p of comparison between the pathogenic variants: ANOVA, including the pathogenic variant type into the model.