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Table 3 Associations between (i) metabolic syndrome presence and (ii) number of components (exposures) and atherosclerosis outcomes

From: Association between presence of the metabolic syndrome and its components with carotid intima-media thickness and carotid and femoral plaque area: a population study

  Basic model* Adjusted model†
  (i)Metabolic syndrome (ii)Number of components present (i)Metabolic syndrome (ii)Number of components present
  B (95% CI) P R2 B (95% CI) P# R2 B (95% CI) P R2 B (95% CI) P# R2
IMTcc (mm) 0.03 (0.00 to 0.05) 0.02 0.278 0.02 (0.01 to 0.03) <0.001 0.286 0.02 (0.00 to 0.04) 0.047 0.287 0.02 (0.01 to 0.02) <0.001 0.296
(ln)SPA 0.24 (0.002 to 0.47) 0.048 0.330 0.17 (0.07 to 0.26) <0.001 0.337 0.22 (−0.015 to 0.45) 0.07 0.344 0.16 (0.07 to 0.25) 0.001 0.351
(ln)SPAcar 0.15 (−0.07 to 0.38) 0.18 0.234 0.10 (0.01 to 0.19) 0.03 0.237 0.16 (−0.07 to 0.38) 0.17 0.241 0.10 (0.01 to 0.19) 0.03 0.244
(ln)SPAfem 0.26 (0.02 to 0.50) 0.03 0.303 0.15 (0.05 to 0.24) 0.003 0.307 0.24 (0.004 to 0.48) 0.046 0.333 0.14 (0.05 to 0.24) 0.003 0.337
  OR (95% CI) P R 2 OR (95% CI) P R 2 OR (95% CI) P R 2 OR (95% CI) P R 2
Plaque Presence (0 Vs 1–4) 1.42 (0.93 to 2.16) 0.10 0.303 1.27 (1.08 to 1.5) <0.001 0.319 1.38 (0.91 to 2.12) 0.13 0.312 1.25 (1.06 to 1.48) 0.008 0.326
  1. *Basic model: adjusted for age and sex.
  2. †Adjusted model: adjusted for age, sex, family history of CVD, alcohol consumption (BU/week) and smoking (pack-years).
  3. # P for trend.
  4. For ln-transformed outcomes of TPA, the B coefficient gives the% change per unit change in the independent.
  5. R2: adjusted R2 for linear regression and Nagelkerke pseudo-R2 for logistic regression models.
  6. P value for model fit (F statistic) <0.001 for all models.