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. 2017 Jul 16;6(7):e004974. doi: 10.1161/JAHA.116.004974

Table 6.

Logistic Regression Analysis Examining the Incidence of Individual Risk Factors From Baseline Examination to Follow‐Up Examination According to Biomarkers (Modeled Together)

Δ MetS Component No. Incidence Proportion, % RBP4 Fetuin‐A
Multivariable Adjusteda OR (95% CI) P Value Multivariable Adjusteda OR (95% CI) P Value
Waist circumference 2208 916/2208 (41.5%) 1.05 (0.93–1.18) 0.42 1.04 (0.92–1.18) 0.5
Fasting glucose 2207 369/2208 (16.7%) 1.13 (0.99–1.28) 0.06 1.03 (0.90–1.17) 0.07
Systolic BP 2206 411/2206 (18.6%) 1.22 (1.06–1.39) 0.004 1.14 (1.00–1.30) 0.04
Diastolic BP 2206 394/2206 (17.8%) 1.19 (1.04–1.13) 0.007 1.08 (0.95–1.22) 0.26
Triglycerides 2206 441/2206 (20.0%) 1.08 (0.96–1.23) 0.19 0.99 (0.88–1.11) 0.80
HDL‐C 2208 238/2206 (10.8%) 1.05 (0.89–1.22) 0.58 1.09 (0.94–1.26) 0.26

BP indicates blood pressure; HDL‐C, high‐density lipoprotein cholesterol; RBP4, retinol‐binding protein 4.

a

Multivariable‐adjusted beta for change (Δ) in components of metabolic syndrome (MetS) are adjusted for age, sex, baseline body mass index (except waist circumference model), and baseline level of the individual component, and values are per SD increment of log biomarkers.