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. 2022 Feb 4;14(3):662. doi: 10.3390/nu14030662

Table 4.

Longitudinal associations between dietary patterns and binary cardiometabolic risk factors using multi-level mixed-effects models *.

Snack-Fruit Pattern Rice-Meat-Refined Wheat Pattern
Obesity
Model 1 0.97 (0.86, 1.10) 1.01 (0.89, 1.15)
Model 2 0.98 (0.87, 1.12) 1.02 (0.89, 1.16)
Model 3 0.97 (0.85, 1.10) 1.00 (0.87, 1.14)
Central obesity
Model 1 1.03 (0.90, 1.17) 1.18 (1.03, 1.35)
Model 2 1.03 (0.90, 1.17) 1.19 (1.03, 1.36)
Model 3 1.02 (0.90, 1.16) 1.16 (1.01, 1.34)
Hypertriglyceridemia
Model 1 1.08 (0.94, 1.24) 1.00 (0.87, 1.16)
Model 2 1.08 (0.94, 1.25) 1.03 (0.89, 1.18)
Model 3 1.05 (0.91, 1.22) 0.96 (0.82, 1.11)
Low HDL
Model 1 0.96 (0.85, 1.09) 0.95 (0.84, 1.08)
Model 2 0.98 (0.87, 1.11) 0.94 (0.82, 1.07)
Model 3 0.97 (0.86, 1.10) 0.95 (0.83, 1.09)
Raised blood pressure
Model 1 0.89 (0.78, 1.01) 1.05 (0.92, 1.20)
Model 2 0.90 (0.79, 1.02) 1.07 (0.94, 1.22)
Model 3 0.90 (0.79, 1.03) 1.03 (0.89, 1.18)
Diabetes
Model 1 1.04 (0.80, 1.35) 1.20 (0.93, 1.56)
Model 2 0.99 (0.76, 1.29) 1.28 (0.98, 1.66)
Model 3 0.99 (0.76, 1.29) 1.28 (0.98, 1.67)
Metabolic syndrome
Model 1 0.99 (0.87, 1.13) 1.14 (0.99, 1.30)
Model 2 1.00 (0.87, 1.13) 1.14 (1.00, 1.31)
Model 3 0.99 (0.87, 1.13) 1.11 (0.97, 1.28)

* Results are presented as odds ratio and 95% CI. Instead of reporting prediabetes, which takes 72% of the study population at baseline, and didn’t change too much along the waves, diabetes (about 15% developed diabetes at year 2) is reported here, using the dietary cumulative mean score to predict diabetes at year 2. Model 1: age, sex. Model 2: Model 1 + marriage status, education, occupation. Model 3: Model 2 + leisure PA, alcohol consumption, and smoking. In addition, the model was adjusted for wave, study arm, and the interaction between wave and study arm for all the other outcomes in the table, but not for diabetes. For diabetes (developed at year 2), only study arm was adjusted.