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. Author manuscript; available in PMC: 2023 Apr 12.
Published in final edited form as: Am J Clin Nutr. 2021 Feb 2;113(2):428–436. doi: 10.1093/ajcn/nqaa276

TABLE 2.

ORs and 95% CIs for cardiovascular health metrics associated with UPFs: US adults, NHANES 2011–20161

Quartiles of usual percentage of calories from UPFs (n = 11,246)
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
1

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.

2

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).

3

P value of β-coefficient for percentage of calories (continuous) from UPFs in the multinomial logistic regression models.