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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