Table 3 Linear regression analyses showing association between optimism, diet quality, energy and macronutrient intake and food group consumption (NutriNet-Santé study, 2016)
Outcomes | Î’eta-coefficient (95% CI) | Â | |
|---|---|---|---|
LOT-R | P3 | ||
Model 11 | Model 22 | Â | |
Diet quality (N = 17,849) | |||
 mPNNS-GS4 | 0.11 (0.08, 0.15) | 0.07 (0.04, 0.11) | < 0.0001 |
Energy and macronutrient intake (N = 19,335) | |||
 Energy intake, kcal/d | 8.02 (−0.04, 16.08) | 5.66 (−3.24, 14.55) | 0.21 |
 Energy intake without alcohol, kcal/ d | 4.19 (− 3.73, 12.12) | 2.37 (−6.33, 11.08) | 0.59 |
 Protein, % | −0.19 (0.25, − 0.13) | −0.16 (− 0.23, − 0.09) | < 0.0001 |
 Carbohydrate, % | −0.34 (− 0.48, 0.19) | −0.32 (− 0.47, − 0.16) | < 0.0001 |
 Lipid, % | 0.33 (0.20, 0.45) | 0.31 (0.17, 0.44) | < 0.0001 |
Food group consumption (N = 19,335) | |||
 Fruit and vegetables, g/d | 12.89 (7.86, 17.92) | 7.76 (2.42, 13.10) | 0.0044 |
 Seafood, g/d | 1.49 (0.77, 2.21) | 1.09 (0.31, 1.88) | 0.0064 |
 Meat and poultry, g/d | −2.20 (−3.15, −1.25) | −2.07 (− 3.07, −1.07) | < 0.0001 |
 Dairy products, g/d | −8.35 (− 11.36, −5.34) | −8.84 (− 12.12, −5.58) | < 0.0001 |
  Cheese, g/d | 0.33 (−0.25, 0.91) | 0.10 (−0.51, 0.71) | 0.74 |
 Starchy foods, g/d | −0.63 (− 2.48, 1.22) | − 0.94 (− 2.76, 0.89) | 0.31 |
  Whole grains, g/d | 1.96 (0.92, 3.01) | 1.63 (0.49, 2.76) | 0.005 |
 Fats, g/d | 0.30 (−0.005, 0.60) | 0.37 (0.05, 0.69) | 0.023 |
 Sugary and fatty foods, g/d | 0.63 (−0.40, 1.65) | −0.52 (−1.70, 0.67) | 0.39 |
 Sugar and confectionery, g/d | −0,52 (−1.14, 0.11) | − 0.85 (− 1.51, − 0.20) | 0.011 |
 Non-alcoholic beverages, g/d | 16.46 (8.77, 24.15) | 5.48 (−2.95, 13.92) | 0.21 |
 Alcoholic beverages, g/d | 6.87 (3.91, 9.82) | 5.71 (2.54, 8.88) | 0.0004 |