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Table 2 Central and dispersion of points allocated by each component in the Nutri-Score algorithms

From: How does the updated Nutri-Score discriminate and classify the nutritional quality of foods in a Norwegian setting?

 

Nutri-Score algorithm for general foods (n = 1468)

Nutri-Score algorithm for fats, oils, nuts and seeds (n = 105)

Nutri-Score algorithm for beverages (n = 206)b

Median (IQR)

min – max

Median (IQR)

min – max

Median (IQR)

min – max

Points from unfavorable components

 Energy (0–10 points)

2 (3)

0—9

NA

NA

3 (3)

0—10

 Energy from saturated fat (0–10 points)

NA

NA

2 (4)

0—10

NA

NA

 Sugars (0–15 points)

0 (2)

0—15

0 (1)

0—6

4 (7)

0—10

 Saturated fat (0–10 points)

1 (4)

0—10

NA

NA

0 (0)

0—5

 Saturated fat/total fat (0–10 points)

NA

NA

2 (8)

0—10

NA

NA

 Salt (0–20 points)

2 (6)

0—20

0 (4)

0—14

0 (0)

0—2

 NNS (absence = 0 points / presence = 4 points)

NA

NA

NA

NA

0 (0)

0—4

Points from favorable components

 Protein (0–7 points)

2 (3)

0—7

0 (6)

0—7

0 (6)

0—7

 Fiber (0–5 points)

0 (1)

0—5

0 (5)

0—5

0 (0)

0—5

 FVL-proportion (0,1,2 or 5/6a points)

0 (0)

0—5

0 (0)

0—5

0 (0)

0—6

  1. a6 points for beverages
  2. bPlain water was excluded as it is not calculated but automatically classified with Nutri-Score A
  3. FVL: Fruit, vegetables and legumes; IQR: interquartile range; NA: Not applicable; NNS: non-nutritive sweeteners