CACS categories | Quartiles of energy-adjusted UPF consumption (g/day)*, odds ratio (95% confidence intervals) |
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Q1 | Q2 | Q3 | Q4 | p trend |
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From the lowest category to the two highest† |
Model 1, OR (95% CI) | 1 (ref.) | 1.10 (0.84, 1.44) | 1.18 (0.90, 1.55) | 1.15 (0.88, 1.51) | .315 |
Model 2, OR (95% CI) | 1 (ref.) | 1.09 (0.83, 1.44) | 1.19 (0.90, 1.57) | 1.14 (0.86, 1.51) | .382 |
Model 3, OR (95% CI) | 1 (ref.) | 1.09 (0.83, 1.45) | 1.17 (0.88, 1.56) | 1.13 (0.85, 1.50) | .425 |
From the two lowest categories to the highestγ |
Model 1, OR (95% CI) | 1 (ref.) | 1.39 (0.88, 2.18) | 1.47 (0.93, 2.31) | 1.86 (1.20, 2.87) | .006 |
Model 2, OR (95% CI) | 1 (ref.) | 1.37 (0.86, 2.19) | 1.54 (0.96, 2.47) | 1.96 (1.24, 3.07) | .003 |
Model 3, OR (95% CI) | 1 (ref.) | 1.50 (0.93, 2.42) | 1.56 (0.96, 2.52) | 2.00 (1.26, 3.16) | .005 |
- The generalized ordered logistic model (gologit/partial proportional odds model) allows for the no equality of slopes among categories, being less restrictive and more flexible than the ordinal ordered logistic model (parallel-lines model). OR odds ratio, CI confidence interval
- Model 1: logistic regression model adjusted for age
- Model 2: as in model 1 and additionally adjusted for marital status, education, smoking, physical activity, sleep duration during weekdays and during the weekend, alcohol consumption, total fiber intake, cholesterol intake, and total energy intake
- Model 3: as in model 2 and additionally adjusted for cardiovascular risk factors: total serum cholesterol, HDL serum cholesterol, systolic and diastolic blood pressure, body mass index, and diabetes
- *Energy adjusted by the residual method
- †Lowest category: CACS of 0; the two highest categories: CACS > 0 and < 100 together with CACS ≥ 100
- γTwo lowest categories: CACS of 0 together with CACS > 0 and < 100; highest category: CACS ≥ 100