Table 1.
Quartile of frequency of ultra-processed food intake | |||||||||
---|---|---|---|---|---|---|---|---|---|
Quartile 1 (n 2982) | Quartile 2 (n 2989) | Quartile 3 (n 2985) | Quartile 4 (n 2942) | ||||||
Characteristic | Mean | se | Mean | se | Mean | se | Mean | se | P value† |
Ultra-processed food intake (times/d), range | 0–<2·6 | 2·6–<3·8 | 3·8–<5·2 | 5·2–<29·8 | <0·001 | ||||
Age (years) | 43 | 0·5 | 42 | 0·5 | 41 | 0·5 | 38 | 0·5 | <0·001 |
Female sex(%) | 59 | 52 | 51 | 45 | <0·001 | ||||
Race/ethnicity(%) | |||||||||
Non-Hispanic White | 65 | 77 | 81 | 80 | <0·001 | ||||
Non-Hispanic Black | 11 | 9 | 9 | 12 | |||||
Mexican American | 8 | 6 | 5 | 4 | |||||
Other | 16 | 8 | 5 | 4 | |||||
Poverty level(%) | |||||||||
<130 % | 20 | 16 | 15 | 18 | <0·001 | ||||
130–<350% | 40 | 43 | 47 | 49 | |||||
≥350% | 40 | 40 | 38 | 33 | |||||
Education level(%) | |||||||||
Less than high school | 25 | 20 | 20 | 21 | <0·001 | ||||
High school | 31 | 35 | 34 | 35 | |||||
More than high school | 44 | 45 | 46 | 44 | |||||
Smoking status(%) | |||||||||
Current | 28 | 28 | 28 | 34 | 0·01 | ||||
Former | 22 | 25 | 24 | 22 | |||||
Never | 50 | 47 | 47 | 44 | |||||
Physical activity (MET/week) | 29 | 5·5 | 24 | 1·0 | 25 | 0·9 | 27 | 0·9 | 0·08 |
Alcohol intake (drinks/month) | 8 | 0·6 | 9 | 0·6 | 9 | 0·4 | 10 | 0·7 | 0·09 |
BMI (kg/m2) | 26·2 | 0·1 | 26·3 | 0·1 | 26·1 | 0·2 | 26·2 | 0·2 | 0·95 |
Hypertension status(%) | 26 | 25 | 26 | 24 | 0·71 | ||||
Total cholesterol (mg/dl) | 203 | 1·5 | 202 | 1·2 | 201 | 1·3 | 197 | 1·4 | 0·02 |
eGFR (ml/min per 1·73 m2) | 101 | 0·5 | 102 | 0·6 | 102 | 0·6 | 105 | 0·5 | <0·001 |
MET, metabolic equivalent of task; eGFR, estimated glomerular filtration rate.
Values presented are means and their se for continuous variables, and as percentages for categorical variables.
We tested for differences in baseline characteristics using weighted χ 2 tests for categorical variables and weighted ANOVA for continuous variables.