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Table 2 Associations between candidate sQ-HPF items and tertile agreement variable by binomial logistic regression

From: Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)

Predictor variable

β

SE

p (Bonf)

Fatty dairy products

0.33

0.10

0.024

Sugary dairy products

1.37

0.22

< 0.001

Cured meat

0.59

0.07

< 0.001

Fats

0.63

0.14

0.001

Fermented alcohol

1.59

0.07

< 0.001

Distilled alcohol

3.90

0.45

< 0.001

Sugary drinks

3.90

0.17

< 0.001

Sweets

0.46

0.05

< 0.001

Snacks

3.93

0.43

< 0.001

Ready To Eat (RTE)

2.91

0.33

< 0.001

Refined cereals

0.30

0.04

< 0.001

Sauces

0.97

0.18

< 0.001

Additives

0.10

0.02

< 0.001

Fried food

0.84

0.15

< 0.001

Whole dairy products

−0.01

0.06

1

Semi-skimmed dairy products

− 0.15

0.03

< 0.001

Eggs

−0.31

0.19

1

Red meat

0.05

0.15

1

White meat

−1.41

0.17

< 0.001

White fish

−1.40

0.16

< 0.001

Blue fish

−1.29

0.15

< 0.001

Vegetables

−0.55

0.03

< 0.001

Fruit

−1.01

0.04

< 0.001

Potatoes

−0.88

0.18

< 0.001

Nuts

−0.87

0.07

< 0.001

Legumes

−2.46

0.23

< 0.001

Oils

−0.21

0.03

< 0.001

Non-sugary drinks

−0.09

0.03

0.302

Wholegrain cereals

−0.53

0.04

< 0.001

Vitamin/supplements

−0.10

0.12

1

Binge eating

0.17

0.14

1

N° binges/week

0.05

0.05

1

Snacking

0.06

0.08

1

  1. Binomial logistic regression adjusted for age, sex, recruitment center, energy intake, physical activity level, medication for blood pressure and diabetes, working status, educational level, and civil status. Tertile agreement is the outcome variable (score 0 – “low HPF consumer” if a subject is classified in T1 of HPF consumption by at least two classification systems; score 1 – “high HPF consumer” if a subject is classified in T3 by at least two classification systems). Food groups expressed in frequency of consumption (times/day). HPF: highly processed food. Items selected for the sQ-HPF are shown in bold. Bonf: Bonferroni adjustment. N = 4400