Table 2.
Outcome | Model | n | UPF consumption (continuous)† | UPF consumption (tertiles)‡ | |
---|---|---|---|---|---|
OR (95% CI) | Tertile 2, OR (95% CI) | Tertile 3, OR (95% CI) | |||
Obesity | 1a | 12,923 | 1.10 (1.06–1.14)*** | 1.24 (1.03–1.49)* | 1.56 (1.29–1.88)*** |
2b | 12,923 | 1.10 (1.06–1.14)*** | 1.21 (1.00–1.46)* | 1.53 (1.27–1.85)*** | |
3c | 12,454 | 1.06 (1.02–1.11)** | 1.09 (0.90–1.33) | 1.31 (1.06–1.60)* | |
Diabetes | 1a | 13,568 | 1.05 (1.00–1.10)* | 1.19 (0.91–1.54) | 1.38 (1.06–1.81)* |
2b | 13,568 | 1.05 (1.00–1.11)* | 1.05 (0.81–1.37) | 1.33 (1.02–1.74)* | |
3d | 13,426 | 1.06 (1.01–1.12)* | 1.12 (0.84–1.49) | 1.37 (1.01–1.85)* | |
Hypertension | 1a | 13,556 | 1.07 (1.03–1.11)*** | 1.42 (1.19–1.70)** | 1.52 (1.25–1.86)*** |
2b | 13,556 | 1.08 (1.03–1.13)*** | 1.31 (1.08–1.59)** | 1.57 (1.25–1.96)*** | |
3e | 13,415 | 1.09 (1.04–1.14)*** | 1.37 (1.12–1.67)** | 1.60 (1.26–2.03)*** | |
Heart disease | 1a | 13,551 | 1.07 (1.01–1.13)* | 1.54 (1.13–2.10)** | 1.51 (1.10–2.07)* |
2b | 13,551 | 1.07 (1.01–1.15)* | 1.35 (0.97–1.88) | 1.43 (1.03–1.98)* | |
3e | 13,410 | 1.04 (0.97–1.12) | 1.27 (0.90–1.78) | 1.22 (0.87–1.71) |
*p < 0.05
**p < 0.01
***p < 0.001
†Odds ratios per 10% increase in relative intake of ultra-processed foods (% of total energy intake)
‡Tertile 1 (lowest) is the reference. Threshold values for tertiles of ultra-processed food intake were as follows: tertile 1: ≤ 38.5% kcal/day; tertile 2: 38.6–58.6% kcal/day; tertile 3: ≥ 58.7% kcal/day
Estimates presented in the table are odds ratios derived from logistic regression models generated separately for each health outcome:
aUnadjusted model
bModel adjusted for age and sex
cModel adjusted for age, sex, smoking status, physical activity, alcohol consumption, education, income, residential area, immigrant status, Indigenous identity, reporting group, measurement type
dModel adjusted for age, sex, smoking status, physical activity, education, income, residential area, immigrant status, Indigenous identity
eModel adjusted for age, sex, smoking status, physical activity, alcohol consumption, education, income, residential area, immigrant status, Indigenous identity