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. 2023 Jan 10;9:1046463. doi: 10.3389/fnut.2022.1046463

TABLE 5.

Distribution (n; %) of quintiles of the caloric share of ultra-processed foods (% of total calories) in preschoolers’ diet according to different methods to identify UPF.

Classic method Ingredient marker method*
Q1 (<37.1%) Q2
(37.1–47.5%)
Q3
(47.6–57.1%)
Q4
(57.2–67.4%)
Q5 (>67.5%)
Q1
(<30.7%)
125 (65.1) 38 (19.8) 15 (7.8) 8 (4.2) 6 (3.1)
Q2
(30.7–42.4%)
59 (30.7) 87 (45.3) 22 (11.5) 16 (8.3) 8 (4.2)
Q3
(42.5–52.1%)
6 (3.1) 58 (30.4) 94 (49.2) 18 (9.4) 15 (7.9)
Q4
(52.2–64.0%)
1 (0.5) 8 (4.2) 53 (27.6) 105 (54.7) 25 (13)
Q5
(> 64.1%)
1 (0.5) 1 (0.5) 7 (3.7) 45 (23.6) 137 (71.7)
Classic method Food additive method**
Q1 (<43.8%) Q2
(43.9–54.4%)
Q3
(54.5–64.0%)
Q4
(64.1–73.4%)
Q5 (>73.5%)
Q1
(<30.7%)
105 (54.7) 48 (25) 23 (11.9) 9 (4.7) 7 (3.7)
Q2
(30.7–42.4%)
68 (35.4) 56 (29.2) 33 (17.2) 25 (13) 10 (5.2)
Q3
(42.5–52.1%)
14 (7.3) 69 (36.1) 50 (26.2) 39 (20.4) 19 (10)
Q4
(52.2–64.0%)
4 (2.1) 17 (8.9) 77 (40.1) 55 (28.6) 39 (20.3)
Q5
(>64.1%)
1 (0.5) 2 (1.1) 8 (4.2) 64 (33.5) 116 (60.7)

Food Environment Chilean Cohort (FECHIC) (n = 958).

*Agreement = 86.1%; Weighted kappa = 0.65.

**Agreement = 80.3%; Weighted kappa = 0.51.

In “classic method,” UPF was identified by using food description; in “ingredient marker method,” by searching for substances not commonly used in traditional recipes and names of functional classes of “cosmetic” additives in the lists of ingredients; and in “food additive method” by searching for UPF ingredient markers, names of functional classes and all individual names of “cosmetic” additives.