TABLE 2.
Quartiles of usual percentage of calories from UPFs (n = 11,246) |
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Q1 | Q2 | Q3 | Q4 | P value3 | |
Midpoint and range of usual percentage of calories from UPFs | 40.4% (26.1–46.6%) | 51.2% (46.7–55.3%) | 59.5% (55.4–64.2%) | 70.5% (64.3–86.0%) | |
Health metrics | |||||
Age, sex, and race and Hispanic origin adjusted | |||||
Average CVH vs. optimum | 1.00 | 1.43 (1.32, 1.55) | 1.89 (1.64, 2.17) | 2.72 (2.18, 3.39) | <0.001 |
Inadequate CVH vs. optimum | 1.00 | 1.55 (1.36, 1.77) | 2.18 (1.73, 2.74) | 3.40 (2.37, 4.89) | <0.001 |
Fully adjusted2 | |||||
Average CVH vs. optimum | 1.00 | 1.35 (1.25, 1.45) | 1.70 (1.49, 1.94) | 2.30 (1.87, 2.84) | <0.001 |
Inadequate CVH vs. optimum | 1.00 | 1.40 (1.23, 1.60) | 1.82 (1.45, 2.29) | 2.57 (1.79, 3.70) | <0.001 |
Optimum CVH: CVH metrics scores 9–12; average CVH: CVH metrics scores 5–8; inadequate CVH: CVH metrics scores 0–4. CVH, cardiovascular health (excluding diet component); Q, quartile; UPF: ultraprocessed food.
Multinomial logistic regression models were used to estimate ORs and corresponding 95% CIs, and were adjusted for age, sex, race and Hispanic origin, education, and poverty-to-income ratio (the ratio of family income to the Department of Health and Human Services poverty measure).
P value of β-coefficient for percentage of calories (continuous) from UPFs in the multinomial logistic regression models.