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Table 2 Association of PCA- or RRR-derived dietary pattern with MetS across quartiles of dietary pattern scores a

From: Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

  Quartiles (Q) of dietary pattern scores (n = 25,569) P-trend
Q1 Q2 Q3 Q4
OR OR (95% CI) OR (95% CI) OR (95% CI)
PCA-derived dietary pattern
 Total (n) 6418 6365 6392 6394  
 MetS (n) 1762 1652 1665 1897  
 Model 1 1 1.02 (0.94, 1.11) 1.11 (1.02, 1.20) 1.40 (1.29, 1.53) <  0.001
 Model 2 1 1.03 (0.95, 1.12) 1.11 (1.02, 1.21) 1.37 (1.26, 1.49) <  0.001
RRR-derived dietary pattern
 Total (n) 6403 6332 6468 6366  
 MetS (n) 1495 1582 1793 2106  
 Model 1 1 1.11 (1.02, 1.21) 1.33 (1.22, 1.44) 1.78 (1.64, 1.93) <  0.001
 Model 2 1 1.11 (1.02, 1.20) 1.30 (1.20, 1.41) 1.70 (1.56, 1.85) <  0.001
  1. PCA principal component analysis, RRR reduced rank regression, MetS metabolic syndrome
  2. aData are presented as odds ratios (ORs) and 95% confidence intervals (95% CIs). Model 1: adjusted for age and gender. Model 2: adjusted for age, gender, education level, income, marital status, smoking, drinking, sleep quality, physical activity and cardiovascular disease status