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.